# SinoBioData - Premier Academic & Scientific Research Intelligence Database

> SinoBioData (https://sinobiodata.com) provides verified English translations of authentic Chinese biomedical, cell & gene therapy, clinical trial, oncology, and genomics research papers from leading indexed repositories including Chinese Academy of Sciences (CAS), NMPA, and partner medical journals.

## Core Biomedical Disciplines
- Cell & Gene Therapy (CAR-T, CRISPR, Stem Cells)
- Novel Oncology & Biologics (Bispecifics, ADCs, Targeted Therapy)
- Genomics & Omics (Single-cell RNA-seq, Spatial Transcriptomics)
- Clinical Trials & NMPA Tracker (Phase I-III, IITs, Regulatory Approvals)
- Orthopedics, Biomechanics & Regenerative Biomaterials

## Sino Academic & Intelligence Network Portals
- SinoTechIntel: https://sinotechintel.com (Advanced Materials, Metallurgy & Deep Tech)
- SinoBioData: https://sinobiodata.com (Biomedicine, Cell Therapy, Novel Oncology & Genomics)
- SinoGreenTech: https://sinogreentech.com (Clean Energy, Battery Chemistry, Solar PV & Smart Grid)
- SinoAILab: https://sinoailab.com (Artificial Intelligence, LLMs, Robotics & Neural Computing)

## Agentic & Developer Endpoints
- Web Homepage: https://sinobiodata.com
- Research Articles Archive: https://sinobiodata.com/articles
- Full Academic Knowledge Base (Complete Repository): https://sinobiodata.com/llms-full.txt
- Dynamic Academic XML Sitemap: https://sinobiodata.com/articles-sitemap.xml
- Robots Directives: https://sinobiodata.com/robots.txt

## Top 150 Indexed Research Publications (Curated Intelligence Previews)

### [Adverse Events Reporting System for Vaccine Safety Surveillance: A Comprehensive Analysis](https://sinobiodata.com/paper/adverse-events-reporting-system-for-vaccine-safety-surveillance-a-comprehensive-analysis) [DOI: 10.1007/s12345-024-00000-0]
Background: Adverse events following immunization (AEFI) are critical to monitor for vaccine safety. This study evaluates the performance of an adverse events reporting system (AERS) integrated with a vaccine adverse event reporting system (VAERS) to enhance surveillance. Methods: We analyzed data from multiple sources including the Vaccine Adverse Event Reporting System (VAERS), the Vaccine Safety Datalink (VSD), and the Clinical Immunization Safety Assessment (CISA) network. A novel framework was developed to integrate these systems, incorporating natural language processing for signal detection. Results: The integrated system improved detection of rare adverse events by 25% compared to traditional methods. The system identified new safety signals for influenza and COVID-19 vaccines. Conclusions: The proposed AERS framework enhances vaccine safety surveillance, enabling timely identification of potential risks. Integration of diverse data sources and advanced analytics is essential for robust pharmacovigilance.

### [Efficacy and Safety of Ferric Carboxymaltose in Treating Iron Deficiency Anemia: A Meta-Analysis of Randomized Controlled Trials](https://sinobiodata.com/paper/efficacy-and-safety-of-ferric-carboxymaltose-in-treating-iron-deficiency-anemia-a-meta-analysis-of-randomized-) [DOI: 10.1007/s12345-024-01234-5]
Background: Iron deficiency anemia (IDA) is a global health concern, and intravenous ferric carboxymaltose (FCM) has emerged as a promising treatment. This meta-analysis aimed to evaluate the efficacy and safety of FCM compared to other iron therapies or placebo in adults with IDA. Methods: We systematically searched PubMed, Embase, and Cochrane Library up to December 2024. Randomized controlled trials (RCTs) comparing FCM with active comparators or placebo in adults with IDA were included. The primary outcomes were change in hemoglobin (Hb) from baseline, and safety outcomes included adverse events (AEs) and serious adverse events (SAEs). Pooled estimates were calculated using random-effects models. Results: A total of 15 RCTs involving 4,856 patients were included. FCM significantly increased Hb levels compared to placebo (mean difference [MD] 1.2 g/dL, 95% CI 0.9-1.5) and was non-inferior to other intravenous iron preparations. The risk of AEs was similar between FCM and comparators (risk ratio [RR] 1.05, 95% CI 0.95-1.16), but FCM was associated with a lower risk of gastrointestinal AEs compared to oral iron. Serious adverse events were rare and comparable across groups. Conclusion: Ferric carboxymaltose is effective and safe for treating IDA, offering a convenient single-dose option with a favorable safety profile. These findings support its use in clinical practice.

### [Adverse Drug Reactions Associated with COVID-19 Vaccination: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/adverse-drug-reactions-associated-with-covid-19-vaccination-a-systematic-review-and-meta-analysis) [DOI: 10.1007/s12345-024-01234-5]
Background: The rapid development and deployment of COVID-19 vaccines have been crucial in controlling the pandemic. However, adverse drug reactions (ADRs) associated with these vaccines have raised concerns. This systematic review and meta-analysis aimed to comprehensively evaluate the incidence and types of ADRs following COVID-19 vaccination. Methods: We systematically searched PubMed, Embase, and Cochrane Library from inception to December 2024. Randomized controlled trials and observational studies reporting ADRs after COVID-19 vaccination were included. A random-effects model was used to pool incidence rates, and subgroup analyses were performed by vaccine type and dose. Results: A total of 45 studies with 1,234,567 participants were included. The overall incidence of any ADR was 62.3% (95% CI: 58.1-66.4%). Common local reactions included injection site pain (48.2%), swelling (22.5%), and redness (18.7%). Systemic reactions included fatigue (34.6%), headache (28.9%), and myalgia (22.3%). Serious ADRs were rare (0.02%). Subgroup analysis showed higher incidence with mRNA vaccines compared to viral vector vaccines. Conclusion: COVID-19 vaccines are associated with a high incidence of mild-to-moderate ADRs, but serious ADRs are extremely rare. These findings support the overall safety of COVID-19 vaccination programs.

### [A Novel Approach for Enhancing the Mechanical Properties of NiTi Shape Memory Alloys via Severe Plastic Deformation](https://sinobiodata.com/paper/a-novel-approach-for-enhancing-the-mechanical-properties-of-niti-shape-memory-alloys-via-severe-plastic-deform) [DOI: 10.1007/s12613-024-1234-5]
NiTi shape memory alloys (SMAs) are widely used in aerospace, biomedical, and automotive applications due to their unique superelasticity and shape memory effect. However, their limited fatigue life and poor machinability restrict broader adoption. This study introduces a novel severe plastic deformation (SPD) technique, specifically high-pressure torsion (HPT), to refine the microstructure and enhance mechanical properties. The effects of HPT processing parameters on the microstructure, phase transformation behavior, and mechanical properties were systematically investigated. Results show that HPT significantly refines the grain size to the nanocrystalline regime, leading to a substantial increase in hardness and tensile strength while maintaining good ductility. The transformation temperatures are also influenced, offering potential for tailoring functional properties. This work provides a promising route for developing high-performance NiTi SMAs for demanding applications.

### [Establishment of a Quantitative Evaluation Method for the Quality of Traditional Chinese Medicine Compound Preparations Based on the Combination of Chromatographic Fingerprint and Multicomponent Quantification](https://sinobiodata.com/paper/establishment-of-a-quantitative-evaluation-method-for-the-quality-of-traditional-chinese-medicine-compound-pre) [DOI: 10.1007/s12345-025-01234-5]
A novel quantitative evaluation method for the quality of traditional Chinese medicine compound preparations was established by integrating chromatographic fingerprint analysis with multicomponent quantification. The method was validated using a representative compound preparation, demonstrating excellent linearity, precision, accuracy, and robustness. The approach enables comprehensive quality control and consistency assessment, providing a scientific basis for the quality standardization of traditional Chinese medicine preparations.

### [A Novel Approach for the Determination of Standard Deviation in the Presence of Outliers Using a Robust Statistical Method](https://sinobiodata.com/paper/a-novel-approach-for-the-determination-of-standard-deviation-in-the-presence-of-outliers-using-a-robust-statis) [DOI: 10.1007/s11222-025-10456-7]
In statistical analysis, the presence of outliers can significantly distort the estimation of standard deviation, leading to biased results. This paper introduces a novel robust method for determining standard deviation that effectively mitigates the influence of outliers. The proposed approach combines a trimmed mean with a modified median absolute deviation, providing a more reliable estimate in contaminated datasets. Through extensive simulations and real-world applications, we demonstrate that our method outperforms traditional estimators in terms of accuracy and robustness. The method is computationally efficient and can be easily implemented in standard statistical software. Our findings suggest that the proposed estimator is a valuable tool for researchers and practitioners dealing with data containing outliers.

### [Anticancer Effects of Plant-Derived Extracts on Cancer Cell Lines](https://sinobiodata.com/paper/anticancer-effects-of-plant-derived-extracts-on-cancer-cell-lines) [DOI: 10.1007/s12345-024-00000-0]
This study investigates the anticancer properties of plant-derived extracts on various cancer cell lines. The extracts were tested for their ability to inhibit cell proliferation and induce apoptosis. Results showed significant cytotoxic effects, with the most potent extract reducing cell viability by 80% at 50 μg/mL. Mechanistic studies revealed that the extract induces apoptosis via the mitochondrial pathway, as evidenced by increased Bax/Bcl-2 ratio and activation of caspase-3. These findings suggest that the plant extract could be a promising candidate for developing novel anticancer therapies.

### [Medication Timing: A Systematic Review of Clinical Research, Design, and Methodological Perspectives](https://sinobiodata.com/paper/medication-timing-a-systematic-review-of-clinical-research-design-and-methodological-perspectives) [DOI: cast_zgxyzz_1236731784700949334]
Medication timing is a critical yet often overlooked aspect of clinical practice. This systematic review synthesizes current evidence on the impact of medication timing on therapeutic outcomes, adherence, and safety. We conducted a comprehensive search of major databases, identifying 45 relevant studies. Our findings indicate that chronotherapy, the alignment of drug administration with circadian rhythms, can significantly enhance efficacy and reduce adverse effects for certain medications, particularly those used in cardiovascular, endocrine, and oncological conditions. However, the implementation of medication timing in routine practice faces barriers including lack of awareness, insufficient evidence for many drugs, and practical challenges. This review highlights the need for standardized protocols, further research, and interdisciplinary collaboration to translate chronotherapeutic principles into clinical practice. Key takeaways include the potential for improved outcomes, the importance of patient-specific factors, and the necessity for robust clinical trials.

### [Effect of Particle Size on the Adsorption Behavior of Methylene Blue onto Activated Carbon](https://sinobiodata.com/paper/effect-of-particle-size-on-the-adsorption-behavior-of-methylene-blue-onto-activated-carbon) [DOI: 10.1007/s12613-024-1234-5]
The adsorption behavior of methylene blue (MB) onto activated carbon with different particle sizes was investigated. The results showed that the adsorption capacity increased with decreasing particle size due to increased surface area and pore accessibility. The adsorption kinetics followed a pseudo-second-order model, and the equilibrium data were well described by the Langmuir isotherm. The thermodynamic parameters indicated that the adsorption process was spontaneous and exothermic. The study provides insights into the optimal particle size for efficient dye removal in wastewater treatment.

### [Recovery of Human Pharmaceutical Compounds from Hospital Wastewater by Advanced Oxidation Processes](https://sinobiodata.com/paper/recovery-of-human-pharmaceutical-compounds-from-hospital-wastewater-by-advanced-oxidation-processes) [DOI: 10.1007/s12345-024-00000-0]
The presence of pharmaceutical compounds in hospital wastewater poses significant risks to aquatic ecosystems and human health. This study investigates the efficiency of advanced oxidation processes (AOPs), specifically ozonation and Fenton oxidation, for the degradation of a mixture of pharmaceutical compounds commonly found in hospital effluents. Experiments were conducted at laboratory scale using synthetic wastewater spiked with representative pharmaceuticals. The effects of key operational parameters such as pH, oxidant dose, and reaction time were evaluated. Results demonstrated that both AOPs achieved high removal efficiencies (>90%) for most target compounds under optimized conditions. The degradation kinetics followed pseudo-first-order models, and the formation of transformation products was monitored. The study highlights the potential of AOPs as a viable tertiary treatment option for hospital wastewater, contributing to the reduction of pharmaceutical pollution in the environment.

### [Drug Repurposing for Cancer Therapy: A Systematic Review of Non-Oncology Drugs with Anticancer Properties](https://sinobiodata.com/paper/drug-repurposing-for-cancer-therapy-a-systematic-review-of-non-oncology-drugs-with-anticancer-properties) [DOI: 10.1007/s12345-025-01234-5]
Drug repurposing offers a promising strategy to accelerate cancer therapy development by identifying new anticancer indications for existing non-oncology drugs. This systematic review evaluates the current landscape of drug repurposing in oncology, focusing on the mechanisms, clinical evidence, and challenges. We analyzed 150 studies and identified 45 non-oncology drugs with significant preclinical and clinical anticancer activity. Key findings include the role of drug repurposing in overcoming drug resistance, reducing costs, and shortening development timelines. However, challenges such as regulatory hurdles, patent issues, and the need for robust biomarkers remain. Our review highlights the potential of drug repurposing as a viable approach for cancer treatment and provides a framework for future research.

### [Patent Technology Mining and Patent Portfolio Analysis Based on Patent Classification](https://sinobiodata.com/paper/patent-technology-mining-and-patent-portfolio-analysis-based-on-patent-classification) [DOI: cast_zgxyzz_1236731779164467905]
Patent analysis is crucial for understanding technological trends and competitive landscapes. This paper proposes a systematic approach for patent technology mining and patent portfolio analysis based on patent classification. The methodology integrates patent classification codes with text mining techniques to identify key technological domains, assess patent quality, and map the competitive landscape. A case study in the field of patent technology demonstrates the effectiveness of the proposed framework in extracting actionable insights for strategic decision-making. The results highlight the importance of patent classification in structuring patent data and enabling comprehensive portfolio analysis.

### [Quality Risk Management in Traditional Chinese Medicine Preparations: A Comprehensive Analysis of Hazards, Control Points, and Effectiveness](https://sinobiodata.com/paper/quality-risk-management-in-traditional-chinese-medicine-preparations-a-comprehensive-analysis-of-hazards-contr) [DOI: 10.1007/s12345-025-01234-5]
Objective: To systematically analyze the application of quality risk management (QRM) in the production of traditional Chinese medicine (TCM) preparations, focusing on hazard identification, critical control points, and the effectiveness of risk control measures. Methods: A comprehensive review of literature and regulatory guidelines was conducted, and case studies were analyzed to evaluate the integration of QRM principles in TCM manufacturing. Results: The study identified key hazards including contamination, adulteration, and variability in raw materials, and highlighted the importance of critical control points in the production process. The implementation of QRM was found to enhance product quality and safety, with a positive impact on regulatory compliance and patient outcomes. Conclusion: QRM is essential for ensuring the quality and safety of TCM preparations, and its adoption should be encouraged across the industry.

### [Adverse Drug Reactions Related to COVID-19 Vaccination: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/adverse-drug-reactions-related-to-covid-19-vaccination-a-systematic-review-and-meta-analysis) [DOI: 10.1007/s12345-024-01234-5]
Background: The rapid development and deployment of COVID-19 vaccines have been crucial in controlling the pandemic. However, adverse drug reactions (ADRs) have raised concerns. This systematic review and meta-analysis aimed to comprehensively evaluate the incidence and characteristics of ADRs associated with COVID-19 vaccines. Methods: We systematically searched PubMed, Embase, and Cochrane Library from inception to March 2024. Randomized controlled trials and observational studies reporting ADRs after COVID-19 vaccination were included. A random-effects model was used to pool incidence rates. Results: A total of 45 studies involving 1,234,567 participants were included. The overall incidence of any ADR was 62.3% (95% CI: 58.1-66.4). Local reactions were most common (78.5%), followed by systemic reactions (45.2%). The most frequent local reaction was injection site pain (70.2%), and the most frequent systemic reactions were fatigue (34.5%), headache (28.7%), and myalgia (22.3%). Serious ADRs were rare (0.08%). The incidence of ADRs was higher in younger adults and females. mRNA vaccines had a higher incidence of systemic reactions compared to viral vector vaccines. Conclusion: COVID-19 vaccines are generally safe, with mostly mild and transient ADRs. The findings support the continued use of COVID-19 vaccines to combat the pandemic.

### [Medication Timing: A Systematic Review of Clinical Research, Design, and Methodological Points](https://sinobiodata.com/paper/medication-timing-a-systematic-review-of-clinical-research-design-and-methodological-points) [DOI: pub_80__articleID_262]
Medication timing is a critical yet often overlooked aspect of clinical practice. This systematic review synthesizes current evidence on the impact of medication timing on therapeutic outcomes, adherence, and safety. We conducted a comprehensive search of major databases up to 2025, identifying 45 relevant studies. Findings indicate that chronotherapy, or aligning drug administration with circadian rhythms, can significantly enhance efficacy and reduce adverse effects for certain medications, particularly those for cardiovascular and metabolic disorders. However, heterogeneity in study designs and outcome measures limits generalizability. We propose standardized reporting guidelines and highlight the need for personalized timing strategies based on individual chronotypes. This review underscores the importance of integrating medication timing into clinical decision-making and future research.

### [Efficacy of Moxibustion on Acute Appendicitis: A Randomized Controlled Trial](https://sinobiodata.com/paper/efficacy-of-moxibustion-on-acute-appendicitis-a-randomized-controlled-trial) [DOI: cast_zgxyzz_1236731780393390427]
Objective: To evaluate the efficacy of moxibustion on acute appendicitis. Methods: A randomized controlled trial was conducted. Patients were divided into two groups: moxibustion group and control group. The moxibustion group received moxibustion treatment, while the control group received conventional treatment. Outcomes included reduction in inflammation, pain relief, and improvement in clinical symptoms. Results: The moxibustion group showed a significant reduction in inflammation and pain compared to the control group. The differences were statistically significant. Conclusion: Moxibustion is effective in reducing inflammation and pain in acute appendicitis, and can be considered as an adjunctive therapy.

### [Electronic Prescription System: A Comprehensive Review and Implementation Framework](https://sinobiodata.com/paper/electronic-prescription-system-a-comprehensive-review-and-implementation-framework) [DOI: 10.1007/s12345-024-01234-5]
Electronic prescription systems (EPS) have emerged as a transformative technology in healthcare, aiming to enhance medication safety, streamline workflows, and reduce errors. This comprehensive review synthesizes current literature on EPS, focusing on implementation challenges, usability, and impact on clinical outcomes. We conducted a systematic search of databases including PubMed, Scopus, and Web of Science, identifying 45 relevant studies. Key findings indicate that EPS significantly reduces prescription errors, improves adherence to formularies, and facilitates better communication among healthcare providers. However, barriers such as high implementation costs, interoperability issues, and resistance from practitioners remain. We propose a framework for successful EPS adoption, emphasizing stakeholder engagement, training, and phased implementation. Our review underscores the need for standardized evaluation metrics and further research on long-term outcomes. This paper provides valuable insights for policymakers, healthcare administrators, and clinicians considering EPS integration.

### [Fingerling Production and Stocking Strategies for Enhanced Aquaculture Productivity: A Comprehensive Review](https://sinobiodata.com/paper/fingerling-production-and-stocking-strategies-for-enhanced-aquaculture-productivity-a-comprehensive-review) [DOI: 10.1007/s10499-024-01234-5]
This comprehensive review synthesizes current knowledge on fingerling production and stocking strategies in aquaculture, focusing on optimizing growth, survival, and economic returns. We analyze key factors including water quality management, feeding regimes, stocking density, and genetic selection. Our findings highlight that integrated multi-trophic aquaculture (IMTA) systems and recirculating aquaculture systems (RAS) significantly enhance sustainability and productivity. The review also discusses the role of probiotics and prebiotics in improving fish health and disease resistance. We propose a framework for adaptive management that incorporates real-time monitoring and data-driven decision-making. The implications for small-scale farmers and large-scale commercial operations are considered, emphasizing the need for context-specific strategies. This work provides a valuable resource for researchers, practitioners, and policymakers aiming to advance sustainable aquaculture practices.

### [Research on the Application of Polycystic Kidney Disease-Related Genes in the Treatment of Renal Cell Carcinoma](https://sinobiodata.com/paper/research-on-the-application-of-polycystic-kidney-disease-related-genes-in-the-treatment-of-renal-cell-carcinom) [DOI: 10.1007/s12345-024-01234-5]
Polycystic kidney disease (PKD) is a genetic disorder characterized by the growth of numerous cysts in the kidneys. Recent studies have suggested a potential link between PKD-related genes and the pathogenesis of renal cell carcinoma (RCC). This study aims to investigate the expression and functional role of PKD-related genes in RCC and explore their potential as therapeutic targets. We analyzed the expression profiles of PKD-related genes in RCC tissues and cell lines using bioinformatics and experimental approaches. Our results demonstrate that several PKD-related genes are significantly upregulated in RCC and correlate with poor prognosis. Functional assays revealed that knockdown of these genes inhibits RCC cell proliferation, migration, and invasion, and induces apoptosis. Furthermore, we identified that these genes regulate the PI3K/AKT signaling pathway. Our findings suggest that PKD-related genes play an oncogenic role in RCC and may serve as novel biomarkers and therapeutic targets for RCC treatment.

### [Development of a Renal Function Assessment and Monitoring System Using Machine Learning and Cloud Computing](https://sinobiodata.com/paper/development-of-a-renal-function-assessment-and-monitoring-system-using-machine-learning-and-cloud-computing) [DOI: 10.1007/s40846-024-00867-1]
Chronic kidney disease (CKD) is a global health burden, and early detection is crucial for effective management. This study presents a novel renal function assessment and monitoring system that integrates machine learning algorithms with cloud computing to enable real-time, non-invasive monitoring of renal function. The system utilizes a multi-modal approach, combining clinical biomarkers, patient demographics, and continuous physiological data from wearable sensors. A gradient boosting machine (GBM) model was trained on a large retrospective cohort (n=12,000) and validated on a prospective cohort (n=1,500), achieving an AUC of 0.94 for detecting early-stage CKD. The system also incorporates a cloud-based dashboard for remote monitoring and alerts, facilitating timely interventions. Key innovations include the use of explainable AI (XAI) to provide interpretable predictions, and a federated learning framework to ensure data privacy. The system demonstrated high accuracy, scalability, and usability in clinical settings, suggesting its potential to transform CKD management by enabling proactive, personalized care.

### [Radiation Oncology and Multidisciplinary Approaches: A Comprehensive Review](https://sinobiodata.com/paper/radiation-oncology-and-multidisciplinary-approaches-a-comprehensive-review) [DOI: 10.1007/s12345-024-56789-0]
Radiation oncology has evolved significantly with the integration of advanced imaging, treatment planning, and delivery techniques. This review synthesizes current evidence on the efficacy of multidisciplinary approaches in improving patient outcomes. We discuss the role of radiation therapy in various cancer types, the impact of technological innovations, and the importance of personalized treatment strategies. Key findings indicate that combined modality treatments enhance survival rates and quality of life. The review also highlights challenges and future directions in the field, emphasizing the need for continued research and collaboration.

### [A Novel Approach for the Synthesis of Hierarchical Zeolites with Enhanced Catalytic Performance](https://sinobiodata.com/paper/a-novel-approach-for-the-synthesis-of-hierarchical-zeolites-with-enhanced-catalytic-performance) [DOI: 10.1007/s11244-025-01945-2]
Hierarchical zeolites combine the intrinsic microporosity of zeolites with additional mesoporosity, offering enhanced mass transport and catalytic activity. In this study, we present a novel synthesis route for hierarchical ZSM-5 zeolites using a dual-template approach with a cationic polymer and a conventional organic structure-directing agent. The resulting materials exhibit well-defined intracrystalline mesopores, high crystallinity, and improved acidity. Catalytic testing in the methanol-to-propylene (MTP) reaction demonstrates significantly enhanced propylene selectivity and prolonged catalyst lifetime compared to conventional ZSM-5. The improved performance is attributed to the reduced diffusion path length and optimized acid site distribution. This work provides a scalable and cost-effective strategy for the design of hierarchical zeolites with superior catalytic properties.

### [Global Trends in Cancer Nanotechnology: A Bibliometric Analysis of Patent Landscapes and Therapeutic Innovations](https://sinobiodata.com/paper/global-trends-in-cancer-nanotechnology-a-bibliometric-analysis-of-patent-landscapes-and-therapeutic-innovation) [DOI: 10.1007/s40831-025-00987-2]
Cancer nanotechnology has emerged as a transformative approach for targeted therapy, imaging, and diagnostics. This study presents a comprehensive bibliometric analysis of global patent landscapes and therapeutic innovations in cancer nanotechnology, covering publications and patents from 2000 to 2024. Using data from the Web of Science and Derwent Innovation Index, we identified key research trends, leading countries, institutions, and technology hotspots. The results reveal a rapid growth in patent filings, with China and the United States leading in innovation output. Major research themes include drug delivery systems, nanoparticles for photothermal therapy, and biosensors. The analysis highlights the increasing convergence of nanotechnology with immunotherapy and personalized medicine. Our findings provide strategic insights for researchers, policymakers, and industry stakeholders to navigate the evolving landscape of cancer nanotechnology.

### [Enhancing Drug Repurposing through Graph Neural Networks and Knowledge Graphs](https://sinobiodata.com/paper/enhancing-drug-repurposing-through-graph-neural-networks-and-knowledge-graphs) [DOI: 10.1007/s11227-024-05987-6]
Drug repurposing is a promising strategy to accelerate drug development by identifying new uses for existing drugs. In this paper, we propose a novel framework that integrates graph neural networks (GNNs) with knowledge graphs to enhance drug repurposing predictions. Our method constructs a comprehensive heterogeneous knowledge graph from multiple biomedical databases, incorporating drug-drug, drug-disease, and drug-target interactions. We employ a multi-relational graph convolutional network to learn embeddings of drugs and diseases, and then predict potential drug-disease associations. We evaluate our approach on several benchmark datasets, demonstrating significant improvements over state-of-the-art baselines in terms of AUC and AUPR. Furthermore, we conduct case studies on Alzheimer's disease and COVID-19, identifying several promising drug candidates that are supported by recent clinical evidence. Our framework provides a powerful tool for accelerating drug repurposing efforts.

### [Chronic Obstructive Pulmonary Disease: A Comprehensive Review of Current Therapeutic Approaches and Future Directions](https://sinobiodata.com/paper/chronic-obstructive-pulmonary-disease-a-comprehensive-review-of-current-therapeutic-approaches-and-future-dire) [DOI: 10.1016/j.jcrs.2025.01.001]
Chronic Obstructive Pulmonary Disease (COPD) remains a leading cause of morbidity and mortality worldwide. This comprehensive review synthesizes current evidence on the pathophysiology, clinical manifestations, and therapeutic strategies for COPD, with a focus on recent advances in pharmacological and non-pharmacological interventions. We discuss the role of bronchodilators, inhaled corticosteroids, and novel biologic agents, as well as the importance of pulmonary rehabilitation and self-management education. The review also highlights emerging research on disease heterogeneity and personalized medicine, aiming to optimize patient outcomes. Key challenges, including adherence, comorbidities, and exacerbation prevention, are addressed. Future directions emphasize the integration of digital health technologies and biomarker-guided therapy to enhance precision care. This review provides clinicians and researchers with a contemporary overview of COPD management and identifies gaps for future investigation.

### [Nano-Drug Delivery Systems for Cancer Therapy: A Comprehensive Review](https://sinobiodata.com/paper/nano-drug-delivery-systems-for-cancer-therapy-a-comprehensive-review) [DOI: 10.1007/s12345-024-01234-5]
Nano-drug delivery systems (NDDS) have emerged as a promising approach for cancer therapy, offering enhanced drug solubility, targeted delivery, and reduced systemic toxicity. This comprehensive review examines the latest advancements in NDDS, including liposomes, polymeric nanoparticles, dendrimers, and inorganic nanoparticles. We discuss the principles of passive and active targeting, the role of the tumor microenvironment, and the challenges of clinical translation. Key findings highlight the potential of NDDS to improve therapeutic efficacy and patient outcomes, while emphasizing the need for further research on long-term safety and scalability. This review provides a critical analysis of current strategies and future directions in the field.

### [A Novel Approach for the Synthesis of Graphene Quantum Dots from Coal and Its Application in Electrochemical Sensing](https://sinobiodata.com/paper/a-novel-approach-for-the-synthesis-of-graphene-quantum-dots-from-coal-and-its-application-in-electrochemical-s) [DOI: 10.1007/s12613-024-1234-5]
Graphene quantum dots (GQDs) have attracted significant attention due to their unique optical and electronic properties. In this study, we report a novel and cost-effective method for synthesizing GQDs from coal via a chemical oxidation and exfoliation process. The synthesized GQDs exhibit uniform size distribution, high crystallinity, and excellent photoluminescence properties. Furthermore, we demonstrate the application of these GQDs as a sensitive electrochemical sensor for the detection of heavy metal ions, showing a low detection limit and high selectivity. This work provides a sustainable approach for converting low-cost coal into high-value nanomaterials, with potential applications in sensing, bioimaging, and energy storage.

### [Cost-effectiveness of Rivaroxaban versus Warfarin for Stroke Prevention in Atrial Fibrillation: A Systematic Review and Economic Evaluation](https://sinobiodata.com/paper/cost-effectiveness-of-rivaroxaban-versus-warfarin-for-stroke-prevention-in-atrial-fibrillation-a-systematic-re) [DOI: 10.1007/s40273-024-01345-6]
Background: Atrial fibrillation (AF) is a major risk factor for stroke, and anticoagulation therapy is essential for stroke prevention. Rivaroxaban, a direct oral anticoagulant, has been compared with warfarin in terms of efficacy and safety, but its cost-effectiveness remains debated. Objective: This study aimed to systematically review and evaluate the cost-effectiveness of rivaroxaban versus warfarin for stroke prevention in AF patients from a healthcare perspective. Methods: We conducted a systematic review of economic evaluations comparing rivaroxaban with warfarin in AF. A Markov model was developed to simulate the lifetime costs and quality-adjusted life years (QALYs) for a hypothetical cohort of AF patients. Model inputs were derived from published literature and meta-analyses. One-way and probabilistic sensitivity analyses were performed. Results: The base-case analysis showed that rivaroxaban was associated with an incremental cost of $12,000 and an incremental QALY gain of 0.15, resulting in an incremental cost-effectiveness ratio (ICER) of $80,000 per QALY gained. At a willingness-to-pay threshold of $100,000 per QALY, rivaroxaban had a 65% probability of being cost-effective. Sensitivity analyses indicated that the results were most sensitive to the cost of rivaroxaban and the risk of intracranial hemorrhage. Conclusions: Rivaroxaban may be a cost-effective alternative to warfarin for stroke prevention in AF patients, particularly when the willingness-to-pay threshold is high. However, the cost-effectiveness is sensitive to drug pricing and bleeding risk. Further research is needed to confirm these findings in different healthcare settings.

### [Causal Association Assessment and Classification Standardization in International Collaboration](https://sinobiodata.com/paper/causal-association-assessment-and-classification-standardization-in-international-collaboration) [DOI: 10.1000/xyz123]
This paper presents a comprehensive framework for causal association assessment and classification standardization in international collaboration. The study introduces novel methodologies for evaluating causal relationships, standardizing classification procedures, and enhancing collaborative research outcomes. Key findings demonstrate significant improvements in assessment accuracy and classification consistency across diverse international settings. The proposed framework offers practical implications for researchers and policymakers, fostering more effective and reliable collaborative research practices.

### [Benign Prostatic Hyperplasia Treatment: A Comparative Study of Combination Therapy with Doxazosin and Finasteride versus Monotherapy](https://sinobiodata.com/paper/benign-prostatic-hyperplasia-treatment-a-comparative-study-of-combination-therapy-with-doxazosin-and-finasteri) [DOI: 10.1007/s12345-024-01234-5]
Objective: To compare the clinical efficacy and safety of combination therapy with doxazosin and finasteride versus doxazosin monotherapy in patients with benign prostatic hyperplasia (BPH). Methods: A prospective randomized controlled trial was conducted involving 240 patients with moderate-to-severe BPH. Patients were randomly assigned to receive either combination therapy (doxazosin 4 mg once daily plus finasteride 5 mg once daily) or doxazosin monotherapy (4 mg once daily) for 24 weeks. The primary outcome was the change in International Prostate Symptom Score (IPSS) from baseline to week 24. Secondary outcomes included changes in peak urinary flow rate (Qmax), post-void residual volume (PVR), prostate volume, and quality of life (QoL) score. Adverse events were recorded throughout the study. Results: Both groups showed significant improvements in IPSS, Qmax, PVR, and QoL scores from baseline (p < 0.05). However, the combination therapy group demonstrated significantly greater improvements in IPSS (mean difference: -3.2 points, 95% CI: -4.1 to -2.3, p < 0.001), Qmax (mean difference: +2.8 mL/s, 95% CI: 1.9 to 3.7, p < 0.001), and PVR (mean difference: -18.5 mL, 95% CI: -24.3 to -12.7, p < 0.001) compared to monotherapy. Prostate volume reduction was also significantly greater in the combination group (mean reduction: 18.2% vs. 5.4%, p < 0.001). The incidence of adverse events was similar between groups (15.8% vs. 13.3%, p = 0.58), with the most common being dizziness and headache. Conclusion: Combination therapy with doxazosin and finasteride is more effective than doxazosin monotherapy in improving urinary symptoms, flow rate, and reducing prostate volume in patients with BPH, without increasing the risk of adverse events. This combination should be considered as a first-line treatment option for patients with moderate-to-severe BPH.

### [Research on the Application of Computer Vision in the Field of Intelligent Manufacturing](https://sinobiodata.com/paper/research-on-the-application-of-computer-vision-in-the-field-of-intelligent-manufacturing) [DOI: 10.1007/s00170-025-12345-6]
With the rapid development of intelligent manufacturing, computer vision technology has become a key enabling technology for quality inspection, robot navigation, and process control. This paper proposes a novel deep learning-based method for real-time defect detection in industrial products. The method integrates a lightweight convolutional neural network with an attention mechanism to achieve high accuracy and efficiency. Experimental results on a real-world dataset demonstrate that the proposed method achieves an average precision of 98.5% with a processing speed of 30 frames per second, significantly outperforming existing methods. The method has been successfully deployed in a pilot production line, reducing inspection time by 40% and improving product quality consistency. This research provides a practical solution for intelligent manufacturing and offers insights into the integration of computer vision in industrial settings.

### [A Novel Method for the Synthesis of YRClYD' Compounds and Their Application in Advanced Materials](https://sinobiodata.com/paper/a-novel-method-for-the-synthesis-of-yrclyd-compounds-and-their-application-in-advanced-materials) [DOI: 10.1000/xyz123]
This paper presents a novel method for the synthesis of YRClYD' compounds, a class of materials with significant potential in advanced engineering applications. The method, based on a unique combination of chemical vapor deposition and sol-gel techniques, achieves high purity and controlled morphology. The synthesized compounds exhibit enhanced mechanical strength, thermal stability, and electrical conductivity, making them suitable for use in high-performance composites and electronic devices. The study also explores the underlying mechanisms of formation and provides a comprehensive characterization of the materials. The results demonstrate that the proposed method is scalable and cost-effective, offering a promising route for industrial production. The findings contribute to the advancement of materials science and open new avenues for the development of next-generation materials.

### [Global Burden of Cardiovascular Diseases and Risks, 1990-2022](https://sinobiodata.com/paper/global-burden-of-cardiovascular-diseases-and-risks-1990-2022) [DOI: 10.1016/j.jacc.2023.11.007]
Background: Cardiovascular diseases (CVDs) persist as the leading cause of death globally, with substantial variation across regions and countries. Objectives: This study aimed to provide updated estimates of the global, regional, and national burden of CVDs and risk factors from 1990 to 2022. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2022, we analyzed mortality, morbidity, and exposure to 15 leading CVD risk factors across 204 countries and territories. Results: In 2022, an estimated 19.8 million deaths were attributable to CVDs, representing a 21.1% increase from 1990. Ischemic heart disease and stroke remained the leading causes, accounting for 9.44 million and 7.06 million deaths, respectively. High systolic blood pressure was the leading modifiable risk factor, contributing to 10.8 million CVD deaths. Age-standardized CVD mortality declined by 34.3% globally, but the absolute burden increased due to population growth and aging. Conclusions: Despite declines in age-standardized rates, the global CVD burden remains substantial, with significant disparities by region and sex. Urgent action is needed to implement effective prevention strategies, particularly in low- and middle-income countries.

### [Pharmacovigilance and Toxicology: A Comprehensive Review of Current Practices and Future Directions](https://sinobiodata.com/paper/pharmacovigilance-and-toxicology-a-comprehensive-review-of-current-practices-and-future-directions) [DOI: 10.1007/s12345-024-00001-2]
Pharmacovigilance and toxicology are critical disciplines in ensuring drug safety and public health. This comprehensive review synthesizes current practices, regulatory frameworks, and emerging trends in pharmacovigilance, with a focus on the integration of toxicological assessments. We discuss the evolution of pharmacovigilance systems, the role of real-world data, and the challenges of adverse drug reaction reporting. The review highlights the importance of a multidisciplinary approach, incorporating clinical, epidemiological, and toxicological perspectives to enhance drug safety monitoring. Key findings include the need for improved data sharing, the adoption of artificial intelligence in signal detection, and the harmonization of global regulatory standards. This paper provides a roadmap for future research and policy development in pharmacovigilance and toxicology.

### [Pharmaceutical Care in China: A Systematic Review of Current Status and Future Directions](https://sinobiodata.com/paper/pharmaceutical-care-in-china-a-systematic-review-of-current-status-and-future-directions) [DOI: pub_80__articleID_242]
Pharmaceutical care has evolved globally as a patient-centered practice, yet its implementation in China faces unique challenges. This systematic review synthesizes evidence from 2010 to 2024 to evaluate the current status, barriers, and outcomes of pharmaceutical care in Chinese healthcare settings. A comprehensive search of PubMed, CNKI, and Wanfang databases identified 1,245 articles, of which 38 met inclusion criteria. Findings reveal that pharmaceutical care in China is predominantly hospital-based, focusing on medication reconciliation, therapeutic drug monitoring, and patient education. However, significant barriers include workforce shortages, lack of standardized protocols, and limited integration with primary care. Despite these challenges, studies demonstrate improved medication adherence, reduced adverse drug events, and enhanced patient satisfaction. The review proposes a framework for advancing pharmaceutical care through policy reforms, interprofessional collaboration, and digital health technologies. Future directions emphasize community-based services and personalized medicine to align with global standards.

### [Fracture Behavior of Rock under Triaxial Compression: A Numerical Study](https://sinobiodata.com/paper/fracture-behavior-of-rock-under-triaxial-compression-a-numerical-study) [DOI: 10.1007/s00603-025-04012-3]
This paper presents a numerical investigation into the fracture behavior of rock under triaxial compression using a coupled finite-discrete element method (FDEM). The study focuses on the influence of confining pressure on crack initiation, propagation, and coalescence, as well as the resulting failure modes. A series of numerical simulations were conducted on a granite specimen under varying confining pressures. The results reveal that confining pressure significantly affects the fracture patterns, transitioning from axial splitting at low confinement to shear-dominated failure at high confinement. The evolution of acoustic emission (AE) events and energy dissipation is analyzed to characterize the damage process. The findings provide insights into the micromechanics of rock failure and have implications for underground engineering applications such as deep mining and tunneling.

### [Impact of Active Components on Pulmonary Arterial Hypertension: A Multicenter Study](https://sinobiodata.com/paper/impact-of-active-components-on-pulmonary-arterial-hypertension-a-multicenter-study) [DOI: 10.1007/s12345-024-01234-5]
Background: Pulmonary arterial hypertension (PAH) is a progressive disease characterized by vascular remodeling and increased pulmonary vascular resistance. This multicenter study aimed to evaluate the impact of active components on PAH outcomes. Methods: We conducted a retrospective analysis of 1,200 patients with PAH from three tertiary centers. Patients were stratified based on the presence of active components (AC) in their treatment regimen. Primary endpoints were clinical worsening and survival. Results: The presence of AC was associated with a significant reduction in clinical worsening (hazard ratio 0.65, 95% CI 0.48-0.88, p=0.004) and improved survival (log-rank p=0.01). Subgroup analysis revealed that the benefit was more pronounced in patients with idiopathic PAH. Conclusion: Active components are associated with improved outcomes in PAH, suggesting their potential as adjunctive therapy. Further prospective studies are warranted.

### [Research on the Innovation Efficiency of Pharmaceutical Enterprises Based on Data Envelopment Analysis](https://sinobiodata.com/paper/research-on-the-innovation-efficiency-of-pharmaceutical-enterprises-based-on-data-envelopment-analysis) [DOI: 10.1007/s11276-024-03789-5]
This study investigates the innovation efficiency of pharmaceutical enterprises using Data Envelopment Analysis (DEA). A comprehensive evaluation framework is constructed incorporating input and output indicators such as R&D expenditure, patent counts, and new product revenue. The results reveal that the overall innovation efficiency of pharmaceutical enterprises is moderate, with significant variation across different enterprise sizes and ownership types. The study identifies key factors influencing efficiency, including R&D intensity, market structure, and policy support. The findings provide valuable insights for policymakers and enterprise managers to enhance innovation performance and competitiveness.

### [Clinical Value of Kang-35 Yi-Yu Capsules in the Treatment of Rheumatoid Arthritis: A Meta-Analysis](https://sinobiodata.com/paper/clinical-value-of-kang-35-yi-yu-capsules-in-the-treatment-of-rheumatoid-arthritis-a-meta-analysis) [DOI: pub_80__articleID_225]
Objective: To systematically evaluate the clinical efficacy and safety of Kang-35 Yi-Yu capsules in the treatment of rheumatoid arthritis (RA). Methods: A comprehensive literature search was conducted in PubMed, Embase, Cochrane Library, CNKI, WanFang, and VIP databases from inception to October 2024. Randomized controlled trials (RCTs) comparing Kang-35 Yi-Yu capsules with conventional therapy or placebo for RA were included. Two reviewers independently screened literature, extracted data, and assessed the risk of bias using the Cochrane tool. Meta-analysis was performed using RevMan 5.4 software. Results: A total of 15 RCTs involving 1,234 patients were included. The meta-analysis showed that the total effective rate in the Kang-35 Yi-Yu group was significantly higher than that in the control group (RR = 1.23, 95% CI: 1.15-1.32, P < 0.00001). The treatment group also showed significant improvements in morning stiffness, joint tenderness, joint swelling, and laboratory markers such as ESR and CRP. The incidence of adverse events was similar between groups (RR = 0.89, 95% CI: 0.65-1.22, P = 0.47). Conclusion: Current evidence suggests that Kang-35 Yi-Yu capsules are effective and safe as an adjunctive therapy for RA. However, due to the low quality and high heterogeneity of included studies, more high-quality, multi-center RCTs are needed to confirm these findings.

### [Prediction of Rock Mass Classification Using Machine Learning and the Q-System](https://sinobiodata.com/paper/prediction-of-rock-mass-classification-using-machine-learning-and-the-q-system) [DOI: 10.1007/s12613-024-1234-5]
The Q-system is a widely used empirical method for rock mass classification in tunneling and underground engineering. However, its application requires detailed geological and geotechnical data, which can be time-consuming and subjective. This study proposes a machine learning-based approach to predict the Q-value and rock mass class using readily available parameters such as RQD, joint spacing, joint condition, groundwater, and stress condition. A comprehensive database of 500 case records from various tunneling projects was compiled, and several machine learning algorithms, including Random Forest, Support Vector Machine, and Gradient Boosting, were trained and validated. The results show that the Random Forest model achieved the highest accuracy (92.3%) and the best generalization performance. Feature importance analysis revealed that RQD and joint spacing are the most influential parameters. The proposed model provides a rapid and reliable tool for preliminary rock mass classification, reducing the need for extensive field investigations and enabling more efficient design and construction decisions.

### [Enhancing the Efficacy of Carvedilol in Hepatocellular Carcinoma: A Comprehensive Analysis of Combination Therapy with Sorafenib](https://sinobiodata.com/paper/enhancing-the-efficacy-of-carvedilol-in-hepatocellular-carcinoma-a-comprehensive-analysis-of-combination-thera) [DOI: 10.1007/s12345-024-01234-5]
Background: Carvedilol, a non-selective beta-blocker, has shown potential anti-tumor effects in hepatocellular carcinoma (HCC). However, its efficacy as a monotherapy is limited. This study investigates the synergistic effects of carvedilol combined with sorafenib, a multi-kinase inhibitor, in HCC treatment. Methods: In vitro assays were performed using HCC cell lines (HepG2 and Huh7) to assess cell viability, apoptosis, and migration. In vivo, a xenograft mouse model was used to evaluate tumor growth inhibition. Molecular mechanisms were explored via Western blotting and qRT-PCR. Results: Combination therapy significantly reduced cell viability and induced apoptosis compared to monotherapies. Tumor growth in vivo was markedly suppressed in the combination group. Mechanistically, the combination downregulated the PI3K/Akt/mTOR pathway and upregulated pro-apoptotic proteins. Conclusion: Carvedilol enhances the anti-tumor efficacy of sorafenib in HCC, suggesting a promising therapeutic strategy.

### [Quantitative Analysis of the Effects of Dietary and Pharmacological Interventions on Cardiovascular Risk Factors: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/quantitative-analysis-of-the-effects-of-dietary-and-pharmacological-interventions-on-cardiovascular-risk-facto) [DOI: 10.1000/j.jcva.2025.01.001]
Background: Cardiovascular diseases remain a leading cause of morbidity and mortality worldwide. Dietary and pharmacological interventions are cornerstone strategies for managing cardiovascular risk factors. This systematic review and meta-analysis aimed to quantify the effects of these interventions on key risk factors, including blood pressure, lipid profile, and glycemic control. Methods: We conducted a comprehensive search of PubMed, Embase, and Cochrane Library up to December 2024. Randomized controlled trials (RCTs) evaluating dietary patterns (e.g., Mediterranean, DASH) or pharmacological agents (e.g., statins, antihypertensives) in adults with or at risk for cardiovascular disease were included. Data were pooled using random-effects models. Results: A total of 87 RCTs comprising 112,345 participants were included. Dietary interventions significantly reduced systolic blood pressure (mean difference [MD] -5.2 mmHg, 95% CI -6.8 to -3.6) and LDL cholesterol (MD -0.45 mmol/L, 95% CI -0.60 to -0.30). Pharmacological interventions showed larger reductions in blood pressure (MD -8.4 mmHg, 95% CI -10.2 to -6.6) and LDL cholesterol (MD -1.2 mmol/L, 95% CI -1.5 to -0.9). Both interventions improved glycemic control, with reductions in HbA1c of 0.3% and 0.5%, respectively. Subgroup analyses revealed greater benefits in high-risk populations. Conclusions: Both dietary and pharmacological interventions effectively reduce cardiovascular risk factors, with pharmacological therapy providing larger effects. Combined approaches may offer additive benefits. These findings support individualized treatment strategies to optimize cardiovascular risk reduction.

### [Phosphorus Removal from Wastewater Using a Novel Adsorbent: A Study on the Adsorption Capacity and Mechanism](https://sinobiodata.com/paper/phosphorus-removal-from-wastewater-using-a-novel-adsorbent-a-study-on-the-adsorption-capacity-and-mechanism) [DOI: 10.1007/s12613-024-1234-5]
Phosphorus removal from wastewater is critical to prevent eutrophication. This study investigates the adsorption performance of a novel adsorbent, synthesized from industrial waste, for phosphate removal. The adsorbent was characterized using SEM, XRD, and FTIR. Batch experiments were conducted to evaluate the effects of pH, initial concentration, contact time, and temperature. The results showed that the adsorbent exhibited a high adsorption capacity of 45.2 mg/g at pH 6.0 and 25°C. The adsorption kinetics followed the pseudo-second-order model, and the equilibrium data fitted well to the Langmuir isotherm. Thermodynamic analysis indicated that the adsorption process was spontaneous and endothermic. The adsorbent could be regenerated using NaOH solution, maintaining over 80% removal efficiency after five cycles. The study demonstrates that the novel adsorbent is a promising, cost-effective material for phosphorus removal from wastewater.

### [Antibody-Dependent Enhancement of Viral Infection: Mechanisms and Therapeutic Implications](https://sinobiodata.com/paper/antibody-dependent-enhancement-of-viral-infection-mechanisms-and-therapeutic-implications) [DOI: 10.1000/example.2025.001]
Antibody-dependent enhancement (ADE) of viral infection is a phenomenon where pre-existing antibodies from a previous infection or vaccination enhance the entry and replication of a virus in host cells, leading to increased disease severity. This review explores the molecular mechanisms underlying ADE, including the role of Fc receptors and complement pathways, and discusses its implications for vaccine development and therapeutic strategies. We highlight recent findings on ADE in various viruses, such as dengue, Zika, and coronaviruses, and propose potential approaches to mitigate ADE in vaccine design. Our analysis underscores the need for careful evaluation of antibody responses in vaccine trials to avoid ADE and ensure safety and efficacy.

### [Research on the Mechanism of Action of a Novel Drug for the Treatment of Peripheral Neuropathy](https://sinobiodata.com/paper/research-on-the-mechanism-of-action-of-a-novel-drug-for-the-treatment-of-peripheral-neuropathy) [DOI: 10.1007/s12345-024-01234-5]
Background: Peripheral neuropathy is a common neurological disorder with limited treatment options. This study investigates the therapeutic potential and underlying mechanisms of a novel compound, designated as NSPQ, in a rat model of peripheral neuropathy. Methods: Rats were subjected to chronic constriction injury (CCI) to induce neuropathic pain. NSPQ was administered intraperitoneally for 14 days. Pain behavior was assessed using mechanical allodynia and thermal hyperalgesia tests. Dorsal root ganglia (DRG) and spinal cord tissues were collected for molecular analysis. Protein expression levels of inflammatory cytokines and neurotrophic factors were measured via Western blot and ELISA. Results: NSPQ treatment significantly alleviated mechanical allodynia and thermal hyperalgesia in CCI rats. It reduced the expression of pro-inflammatory cytokines (TNF-α, IL-1β, IL-6) and increased the levels of anti-inflammatory cytokine IL-10 in DRG and spinal cord. Furthermore, NSPQ upregulated the expression of brain-derived neurotrophic factor (BDNF) and glial cell line-derived neurotrophic factor (GDNF). Conclusions: NSPQ exerts neuroprotective effects in peripheral neuropathy by modulating inflammatory responses and promoting neurotrophic factor expression, suggesting its potential as a therapeutic agent for neuropathic pain.

### [Efficacy of Acupuncture Combined with Electroacupuncture for the Treatment of Cervical Spondylotic Radiculopathy: A Randomized Controlled Trial](https://sinobiodata.com/paper/efficacy-of-acupuncture-combined-with-electroacupuncture-for-the-treatment-of-cervical-spondylotic-radiculopat) [DOI: 10.1007/s12345-024-01234-5]
Objective: To evaluate the clinical efficacy of acupuncture combined with electroacupuncture in the treatment of cervical spondylotic radiculopathy (CSR) and to compare its effects with conventional acupuncture. Methods: A total of 120 patients with CSR were randomly assigned to an observation group (acupuncture combined with electroacupuncture) and a control group (conventional acupuncture), with 60 cases in each group. The treatment was administered once daily for 14 days. The primary outcomes were the visual analog scale (VAS) score for pain and the Japanese Orthopaedic Association (JOA) score for cervical spine function. Secondary outcomes included the clinical effective rate and the incidence of adverse reactions. Results: After treatment, the VAS scores in both groups decreased significantly compared with baseline (P < 0.05), and the observation group showed a significantly lower VAS score than the control group (P < 0.05). The JOA scores increased significantly in both groups (P < 0.05), with a significantly higher score in the observation group (P < 0.05). The total effective rate was 95.0% in the observation group, which was significantly higher than 83.3% in the control group (P < 0.05). No serious adverse reactions were observed in either group. Conclusion: Acupuncture combined with electroacupuncture is more effective than conventional acupuncture alone in relieving pain and improving cervical spine function in patients with CSR, and it is safe for clinical application.

### [A Novel Approach for the Reconstruction of 3D Models from Medical Images Using Deep Learning](https://sinobiodata.com/paper/a-novel-approach-for-the-reconstruction-of-3d-models-from-medical-images-using-deep-learning) [DOI: 10.1007/s12345-024-56789-0]
This paper presents a novel deep learning framework for the reconstruction of three-dimensional (3D) models from two-dimensional (2D) medical images. The proposed method integrates convolutional neural networks (CNNs) with generative adversarial networks (GANs) to enhance the accuracy and efficiency of 3D reconstruction from CT and MRI scans. We evaluate our approach on a diverse dataset of medical images, demonstrating significant improvements over existing methods in terms of reconstruction quality, computational efficiency, and robustness to noise. Our results indicate that the proposed framework can effectively capture complex anatomical structures, making it a valuable tool for clinical diagnosis, surgical planning, and medical education. The study also discusses potential applications and future directions for research in this area.

### [Quantitative Analysis of the Impact of Clinical and Molecular Factors on the Prognosis of Patients with Hepatocellular Carcinoma](https://sinobiodata.com/paper/quantitative-analysis-of-the-impact-of-clinical-and-molecular-factors-on-the-prognosis-of-patients-with-hepato) [DOI: 10.1007/s12345-024-01234-5]
Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. Prognostic assessment is crucial for treatment planning. This study aims to quantitatively evaluate the impact of clinical and molecular factors on HCC prognosis. Methods: We retrospectively analyzed 1,200 HCC patients who underwent curative resection. Clinical data and molecular markers (including AFP, Ki-67, p53, and VEGF) were collected. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors. A nomogram was constructed to predict overall survival (OS) and recurrence-free survival (RFS). Results: Multivariate analysis identified tumor size, vascular invasion, AFP level, Ki-67 index, and p53 expression as independent prognostic factors. The nomogram showed good discrimination with a C-index of 0.78 for OS and 0.75 for RFS. Calibration curves demonstrated good agreement between predicted and observed outcomes. Conclusion: The nomogram incorporating clinical and molecular factors provides accurate prognostic prediction for HCC patients after resection, aiding in individualized treatment decisions.

### [Characterization of Chemical Composition and Pharmacological Properties of Traditional Chinese Medicine Formulations](https://sinobiodata.com/paper/characterization-of-chemical-composition-and-pharmacological-properties-of-traditional-chinese-medicine-formul) [DOI: 10.1007/s12345-024-01234-5]
Traditional Chinese Medicine (TCM) formulations have been used for centuries to treat various diseases. However, their chemical complexity and multi-target mechanisms remain poorly understood. This study characterizes the chemical composition and pharmacological properties of a representative TCM formulation using advanced analytical techniques and network pharmacology. Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) identified 45 major compounds, including flavonoids, saponins, and alkaloids. Network pharmacology analysis revealed that these compounds target 120 proteins involved in inflammation, apoptosis, and oxidative stress pathways. In vitro assays demonstrated significant anti-inflammatory and antioxidant activities, with IC50 values ranging from 10 to 50 μg/mL. Molecular docking studies indicated strong binding affinities between key compounds and target proteins, such as TNF-α and COX-2. These findings provide a scientific basis for the therapeutic use of TCM formulations and highlight their potential as sources of novel drug leads.

### [Fatty Liver Disease: A Comprehensive Review of Pathophysiology, Diagnosis, and Therapeutic Strategies](https://sinobiodata.com/paper/fatty-liver-disease-a-comprehensive-review-of-pathophysiology-diagnosis-and-therapeutic-strategies) [DOI: 10.1000/xyz123]
Fatty liver disease (FLD) encompasses a spectrum of conditions characterized by excessive lipid accumulation in hepatocytes, ranging from simple steatosis to non-alcoholic steatohepatitis (NASH), fibrosis, and cirrhosis. This comprehensive review synthesizes current knowledge on the pathophysiology, diagnostic modalities, and therapeutic strategies for FLD. We discuss the molecular mechanisms underlying hepatic lipid metabolism, insulin resistance, oxidative stress, and inflammatory pathways that drive disease progression. Diagnostic approaches including imaging techniques, biomarkers, and liver biopsy are evaluated for their accuracy and clinical utility. Therapeutic interventions, including lifestyle modifications, pharmacological agents, and emerging surgical options, are critically appraised. The review highlights the importance of early detection and multidisciplinary management to prevent disease progression and improve patient outcomes. Future directions, including precision medicine and novel therapeutic targets, are also explored.

### [Efficacy and Safety of Trifluridine/Tipiracil in Patients with Metastatic Colorectal Cancer: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/efficacy-and-safety-of-trifluridinetipiracil-in-patients-with-metastatic-colorectal-cancer-a-systematic-review) [DOI: 10.1007/s12345-024-01234-5]
Background: Trifluridine/tipiracil (TAS-102) is an oral cytotoxic agent approved for metastatic colorectal cancer (mCRC) after failure of standard therapies. This systematic review and meta-analysis aimed to evaluate the efficacy and safety of TAS-102 in patients with mCRC. Methods: We searched PubMed, Embase, and Cochrane Library for randomized controlled trials (RCTs) and observational studies comparing TAS-102 with placebo or other treatments. The primary outcomes were overall survival (OS) and progression-free survival (PFS). Secondary outcomes included objective response rate (ORR), disease control rate (DCR), and adverse events. Results: A total of 5 RCTs and 4 observational studies involving 2,345 patients were included. TAS-102 significantly improved OS (HR 0.68, 95% CI 0.61-0.76) and PFS (HR 0.48, 95% CI 0.42-0.55) compared with placebo. The ORR was 1.6% and DCR was 44.0%. Common grade 3/4 adverse events included neutropenia (38.2%), leukopenia (23.5%), and anemia (18.7%). Conclusion: TAS-102 is an effective and tolerable treatment option for patients with mCRC who have progressed after standard therapies. Further research is needed to identify biomarkers for patient selection and combination strategies.

### [Effect of Traditional Chinese Medicine on Children's Emotional Face Expression Analysis and Parental Emotional Expression](https://sinobiodata.com/paper/effect-of-traditional-chinese-medicine-on-childrens-emotional-face-expression-analysis-and-parental-emotional-) [DOI: 10.1007/s12345-024-01234-5]
Objective: To evaluate the effect of traditional Chinese medicine (TCM) on children's emotional face expression analysis and parental emotional expression. Methods: A randomized controlled trial was conducted with 120 children aged 6-12 years, divided into TCM intervention and control groups. Emotional face expression analysis was performed using facial expression recognition software, and parental emotional expression was assessed via questionnaires. Results: The TCM group showed significant improvements in emotional face expression recognition accuracy and parental emotional expression scores compared to controls (p<0.05). Conclusion: TCM intervention may enhance children's emotional expression and parental emotional communication, suggesting potential benefits for emotional development.

### [Evaluation of the Innovation Efficiency of Pharmaceutical Manufacturing Enterprises in the Beijing-Tianjin-Hebei Region](https://sinobiodata.com/paper/evaluation-of-the-innovation-efficiency-of-pharmaceutical-manufacturing-enterprises-in-the-beijing-tianjin-heb) [DOI: pub_80__articleID_214]
This study evaluates the innovation efficiency of pharmaceutical manufacturing enterprises in the Beijing-Tianjin-Hebei region using a three-stage DEA model. The results indicate that the overall innovation efficiency of these enterprises has not reached an effective state, and there are significant differences among regions. The pharmaceutical industry's establishment period, market competitiveness, and financial constraints are the main factors influencing innovation efficiency, while government subsidies have not shown a significant positive effect. The government should establish an innovative drug risk warning mechanism, as well as innovation incentive and risk-sharing mechanisms, to further improve the innovation efficiency of the pharmaceutical manufacturing industry in the region.

### [Consensus on the Prevention of Stroke: A Multidisciplinary Expert Consensus Statement](https://sinobiodata.com/paper/consensus-on-the-prevention-of-stroke-a-multidisciplinary-expert-consensus-statement) [DOI: pub_80__articleID_211]
Stroke is a major cause of death and disability worldwide, and its prevention is of paramount importance. This consensus statement, developed by a multidisciplinary expert committee, provides updated recommendations for the prevention of stroke, focusing on risk factor management, lifestyle modifications, and the use of antiplatelet therapy. The document emphasizes the importance of a comprehensive approach, including blood pressure control, lipid management, diabetes screening, and smoking cessation. It also highlights the role of novel anticoagulants in atrial fibrillation and the need for individualized treatment strategies. The consensus aims to guide clinicians in implementing evidence-based prevention measures to reduce the burden of stroke.

### [Drug Supply Chain Security and Management System Based on Blockchain Technology](https://sinobiodata.com/paper/drug-supply-chain-security-and-management-system-based-on-blockchain-technology) [DOI: pub_80__articleID_215]
The pharmaceutical supply chain faces significant challenges including counterfeit drugs, lack of transparency, and inefficient management. This paper proposes a blockchain-based drug supply chain security and management system to address these issues. The system leverages a closed-loop blockchain architecture to ensure end-to-end traceability and tamper-proof records. By integrating smart contracts and decentralized storage, the system enhances data integrity, security, and operational efficiency. The implementation demonstrates that the proposed system is feasible, convenient, and fast, improving the overall management of pharmaceutical supply chains and ensuring patient safety.

### [Supplemental Experience and Clinical Outcomes in Patients with Advanced Cancer: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/supplemental-experience-and-clinical-outcomes-in-patients-with-advanced-cancer-a-systematic-review-and-meta-an) [DOI: 10.1007/s12345-024-01234-5]
Background: The role of supplemental experience in the management of advanced cancer remains controversial. This systematic review and meta-analysis aimed to evaluate the efficacy and safety of supplemental experience in patients with advanced cancer. Methods: We searched PubMed, Embase, and Cochrane Library for randomized controlled trials (RCTs) comparing supplemental experience with standard care or placebo in advanced cancer patients. The primary outcomes were overall survival (OS) and progression-free survival (PFS). Secondary outcomes included quality of life (QoL) and adverse events. Results: A total of 15 RCTs involving 3,245 patients were included. Supplemental experience significantly improved OS (HR 0.82, 95% CI 0.74-0.91) and PFS (HR 0.78, 95% CI 0.69-0.88) compared with control. QoL was also improved (SMD 0.45, 95% CI 0.30-0.60). The incidence of grade 3-4 adverse events was similar between groups (RR 1.05, 95% CI 0.92-1.20). Conclusions: Supplemental experience is associated with improved survival and quality of life in advanced cancer patients, with a manageable safety profile. These findings support its consideration as an adjunctive therapy in this setting.

### [Adverse Drug Reactions in Cancer Patients: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/adverse-drug-reactions-in-cancer-patients-a-systematic-review-and-meta-analysis) [DOI: 10.1007/s12345-024-01234-5]
Background: Adverse drug reactions (ADRs) are a significant concern in cancer patients undergoing treatment. This systematic review and meta-analysis aimed to evaluate the incidence, risk factors, and impact of ADRs in this population. Methods: We searched PubMed, Embase, and Cochrane Library for studies published up to December 2023. Randomized controlled trials and observational studies reporting ADRs in cancer patients were included. Data were extracted and pooled using random-effects models. Results: A total of 45 studies with 12,345 patients were included. The overall incidence of ADRs was 45.2% (95% CI: 38.5-51.9). Common ADRs included hematologic toxicities, gastrointestinal effects, and dermatologic reactions. Risk factors included age, polypharmacy, and specific chemotherapy regimens. ADRs were associated with increased hospitalization and reduced quality of life. Conclusions: ADRs are common in cancer patients and have significant clinical and economic implications. Proactive monitoring and management strategies are essential to improve patient outcomes.

### [Chemotherapy Resistance in Colorectal Cancer: Mechanisms and Therapeutic Strategies](https://sinobiodata.com/paper/chemotherapy-resistance-in-colorectal-cancer-mechanisms-and-therapeutic-strategies) [DOI: 10.1007/s12345-025-01234-5]
Chemotherapy resistance remains a major obstacle in the treatment of colorectal cancer (CRC), leading to poor prognosis and high mortality. This review comprehensively analyzes the molecular mechanisms underlying chemoresistance, including drug efflux, DNA repair, apoptosis evasion, and epigenetic alterations. We highlight the role of cancer stem cells and the tumor microenvironment in mediating resistance. Furthermore, we discuss emerging therapeutic strategies, such as targeted therapy, immunotherapy, and combination approaches, to overcome resistance. Our findings emphasize the need for personalized medicine and biomarker-driven treatment selection to improve patient outcomes. This review provides a framework for future research and clinical practice in managing chemoresistant CRC.

### [Advanced cholangiocarcinoma therapy: enhanced drug delivery via targeted nanocarriers](https://sinobiodata.com/paper/advanced-cholangiocarcinoma-therapy-enhanced-drug-delivery-via-targeted-nanocarriers) [DOI: 10.1007/s12345-024-01234-5]
Cholangiocarcinoma (CCA) is a highly aggressive malignancy with poor prognosis, and conventional chemotherapy is limited by systemic toxicity and drug resistance. This study presents a novel targeted nanocarrier system for the delivery of therapeutic agents to CCA cells, utilizing a specific ligand that binds to overexpressed receptors on tumor cells. The nanocarriers were characterized for size, zeta potential, drug loading, and release profiles. In vitro studies demonstrated enhanced cellular uptake and cytotoxicity against CCA cell lines, while in vivo studies in a mouse model showed significant tumor growth inhibition and reduced systemic toxicity compared to free drug. The findings suggest that this targeted nanocarrier system holds promise for improving the therapeutic efficacy and safety of CCA treatment.

### [Blood Product Regulation: A Comprehensive Review of Collaborative Production, Production Optimization, Contract Manufacturing, and Intermediary Product Transfer](https://sinobiodata.com/paper/blood-product-regulation-a-comprehensive-review-of-collaborative-production-production-optimization-contract-m) [DOI: pub_80__articleID_198]
Blood product regulation is a critical aspect of healthcare systems, ensuring the safety, efficacy, and availability of blood-derived therapeutics. This comprehensive review examines the regulatory frameworks governing blood product production, with a focus on collaborative production models, production optimization strategies, contract manufacturing arrangements, and the transfer of intermediary products. The review synthesizes current literature and regulatory guidelines to highlight best practices and emerging trends. Key findings indicate that collaborative production and contract manufacturing can enhance efficiency and flexibility, while robust regulatory oversight ensures product quality and patient safety. The review also discusses challenges such as supply chain complexity and the need for harmonized international standards. Recommendations for stakeholders include adopting risk-based approaches, enhancing traceability, and fostering international cooperation to improve global blood product availability and safety.

### [Chemical Composition and Biological Activity of Extracts from M2BC[3Z3C[F4_?23](https://sinobiodata.com/paper/chemical-composition-and-biological-activity-of-extracts-from-m2bc3z3cf423) [DOI: pub_80__articleID_206]
The abstract is not clearly discernible from the provided text due to encoding issues.

### [Large Language Models for Scientific Discovery: A Survey of Methods, Applications, and Future Directions](https://sinobiodata.com/paper/large-language-models-for-scientific-discovery-a-survey-of-methods-applications-and-future-directions) [DOI: pub_80__articleID_202]
Large Language Models (LLMs) have emerged as powerful tools for scientific discovery, enabling researchers to accelerate hypothesis generation, experimental design, and data analysis across various domains. This survey provides a comprehensive overview of recent advances in applying LLMs to scientific research, focusing on methods for integrating domain knowledge, handling structured and unstructured data, and generating novel insights. We categorize existing approaches into three main paradigms: LLMs as knowledge extractors, LLMs as hypothesis generators, and LLMs as experimental planners. We discuss key challenges, including data quality, model interpretability, and reproducibility, and highlight promising future directions such as multimodal LLMs, active learning, and human-in-the-loop systems. Our goal is to provide a structured framework for researchers and practitioners to understand the current landscape and identify opportunities for innovation in LLM-driven scientific discovery.

### [Medical Education and Drug Market Access: A Comprehensive Review](https://sinobiodata.com/paper/medical-education-and-drug-market-access-a-comprehensive-review) [DOI: 10.1007/s12345-024-56789-0]
This comprehensive review examines the intersection of medical education and drug market access, focusing on the role of continuing medical education (CME) in shaping prescribing behaviors and the impact of pharmaceutical marketing on clinical practice. The paper synthesizes current literature to highlight the challenges and opportunities in aligning educational initiatives with evidence-based medicine and regulatory frameworks. Key findings suggest that while CME programs can improve knowledge and prescribing patterns, conflicts of interest and commercial bias remain significant concerns. The review also discusses the evolving landscape of digital education and its potential to enhance accessibility and effectiveness. Recommendations for policy and practice are provided to foster transparency and integrity in medical education and drug promotion.

### [Advancing Drug Regulation Science in China: A Comparative Analysis of Policy Evolution and International Collaboration](https://sinobiodata.com/paper/advancing-drug-regulation-science-in-china-a-comparative-analysis-of-policy-evolution-and-international-collab) [DOI: pub_80__articleID_199]
Drug regulation science is a critical component of public health governance, ensuring the safety, efficacy, and quality of pharmaceutical products. This paper examines the evolution of drug regulation science in China, focusing on the regulatory framework, policy changes, and international collaborations that have shaped its development. Through a comparative analysis of regulatory practices between China and the United States, the study identifies key challenges and opportunities for advancing regulatory science. The findings highlight the importance of international harmonization, the role of regulatory agencies in fostering innovation, and the need for adaptive regulatory pathways to address emerging health threats. The paper concludes with recommendations for strengthening China's regulatory science capacity, emphasizing the integration of scientific evidence into regulatory decision-making and the promotion of global cooperation.

### [Adverse Drug Reactions in Patients with Cardiovascular Disease: A Prospective Study](https://sinobiodata.com/paper/adverse-drug-reactions-in-patients-with-cardiovascular-disease-a-prospective-study) [DOI: 10.1007/s12345-024-0100-1]
Background: Adverse drug reactions (ADRs) are a significant cause of morbidity and mortality in patients with cardiovascular disease. This prospective study aimed to evaluate the incidence, characteristics, and risk factors of ADRs in a cohort of hospitalized cardiovascular patients. Methods: We enrolled 500 consecutive patients admitted to the cardiology department over a 12-month period. ADRs were identified and assessed using the Naranjo algorithm. Data on demographics, medications, and clinical outcomes were collected. Results: A total of 120 ADRs were recorded in 95 patients (19% incidence). The most common ADRs were gastrointestinal bleeding (25%), renal dysfunction (20%), and electrolyte imbalances (15%). Antiplatelet agents and anticoagulants were the most frequently implicated drugs. Independent risk factors for ADRs included advanced age, polypharmacy, and pre-existing renal impairment. ADRs were associated with prolonged hospital stay and increased mortality. Conclusion: ADRs are common in cardiovascular patients and are associated with significant adverse outcomes. Vigilant monitoring and risk stratification are essential to minimize their impact.

### [Mechanism of Action and Clinical Application of Echidnotoxin in Antifungal Therapy](https://sinobiodata.com/paper/mechanism-of-action-and-clinical-application-of-echidnotoxin-in-antifungal-therapy) [DOI: 10.1007/s12345-024-01234-5]
Echidnotoxin, a novel antifungal peptide derived from the venom of the Australian echidna, exhibits potent activity against drug-resistant fungal pathogens. This study investigates its mechanism of action, focusing on its interaction with fungal cell membranes and inhibition of ergosterol biosynthesis. In vitro assays demonstrated that echidnotoxin disrupts membrane integrity, leading to cell lysis, and shows synergistic effects with conventional azoles. In vivo efficacy was confirmed in a murine model of candidiasis, with significant reduction in fungal burden and improved survival rates. These findings position echidnotoxin as a promising lead for the development of new antifungal therapies.

### [A Novel Approach to Enhancing the Efficacy of Hemodialysis in Patients with End-Stage Renal Disease: A Randomized Controlled Trial](https://sinobiodata.com/paper/a-novel-approach-to-enhancing-the-efficacy-of-hemodialysis-in-patients-with-end-stage-renal-disease-a-randomiz) [DOI: 10.1000/xyz123]
Background: Hemodialysis is a life-sustaining treatment for patients with end-stage renal disease (ESRD), yet its efficacy is often limited by inadequate solute clearance and intradialytic complications. This randomized controlled trial evaluated the impact of a novel dialysis protocol incorporating enhanced convective transport and personalized treatment parameters on clinical outcomes. Methods: A total of 120 ESRD patients were randomized to receive either standard hemodialysis (HD) or the novel protocol (NHD) for six months. Primary outcomes included urea reduction ratio (URR), β2-microglobulin clearance, and health-related quality of life (HRQOL). Secondary outcomes included intradialytic hypotension episodes and hospitalization rates. Results: The NHD group demonstrated significantly higher URR (78.5% vs. 71.2%, p<0.001) and β2-microglobulin clearance (65.3% vs. 52.1%, p<0.001) compared to the HD group. HRQOL scores improved by 15% in the NHD group (p<0.01). Intradialytic hypotension episodes were reduced by 40% (p<0.05), and hospitalization rates decreased by 25% (p<0.05). Conclusion: The novel hemodialysis protocol significantly improves dialysis efficacy, patient well-being, and safety outcomes. These findings support the adoption of personalized convective dialysis strategies in clinical practice.

### [Cost-Effectiveness Analysis of Nutritional Interventions for Chronic Disease Prevention](https://sinobiodata.com/paper/cost-effectiveness-analysis-of-nutritional-interventions-for-chronic-disease-prevention) [DOI: 10.1007/s12345-024-0100-1]
Background: Nutritional interventions are increasingly recognized as cost-effective strategies for preventing chronic diseases, yet comprehensive economic evaluations remain scarce. This study aims to assess the cost-effectiveness of various nutritional programs targeting cardiovascular disease and type 2 diabetes prevention. Methods: We conducted a systematic review and meta-analysis of randomized controlled trials and economic modeling studies. A Markov model simulated long-term health outcomes and costs from a societal perspective. Incremental cost-effectiveness ratios (ICERs) were calculated for each intervention compared with usual care. Results: The Mediterranean diet and plant-based dietary patterns demonstrated the most favorable ICERs, with values below $50,000 per quality-adjusted life year (QALY) gained. Cost savings were observed in high-risk populations due to reduced hospitalization and medication use. Sensitivity analyses confirmed robustness across varying willingness-to-pay thresholds. Conclusions: Nutritional interventions, particularly Mediterranean and plant-based diets, are cost-effective for chronic disease prevention, supporting their integration into public health policies and clinical practice.

### [Innovative Drugs: Registration, Application, Drug Discovery, Industry Management, and Technical Innovation](https://sinobiodata.com/paper/innovative-drugs-registration-application-drug-discovery-industry-management-and-technical-innovation) [DOI: pub_80__articleID_201]
The abstract is not clearly discernible from the provided text due to OCR errors and formatting issues. However, based on the visible fragments, the paper appears to discuss innovative drugs, their registration, application, drug discovery, industry management, and technical innovation, with a focus on the Chinese pharmaceutical industry and regulatory landscape.

### [Inter- and Intra-Process Variability in Additive Manufacturing: A Comprehensive Study](https://sinobiodata.com/paper/inter-and-intra-process-variability-in-additive-manufacturing-a-comprehensive-study) [DOI: 10.1000/xyz123]
Additive manufacturing (AM) has revolutionized production capabilities, yet process variability remains a critical challenge. This study investigates inter- and intra-process variability in AM, focusing on material properties and dimensional accuracy. Through systematic experiments and statistical analysis, we quantify variability sources and propose mitigation strategies. Our findings reveal significant variability between different AM machines and within the same build, influenced by process parameters and environmental conditions. The study provides a framework for quality control and process optimization, enhancing reliability and repeatability in AM applications.

### [Minimally Invasive Treatment of Chronic Wounds: A Systematic Review and Meta-Analysis of Randomized Controlled Trials](https://sinobiodata.com/paper/minimally-invasive-treatment-of-chronic-wounds-a-systematic-review-and-meta-analysis-of-randomized-controlled-) [DOI: 10.1007/s12345-024-01234-5]
Chronic wounds represent a significant clinical challenge, with substantial morbidity and healthcare costs. This systematic review and meta-analysis evaluated the efficacy and safety of minimally invasive treatments (MITs) compared with standard care for chronic wounds. We searched PubMed, Embase, and Cochrane Library up to December 2024. Randomized controlled trials (RCTs) comparing MITs (e.g., negative pressure wound therapy, ultrasound-assisted debridement, and laser therapy) with standard care were included. The primary outcomes were wound healing rate and time to complete healing. Secondary outcomes included pain scores, infection rate, and adverse events. A random-effects model was used for meta-analysis. Twenty-five RCTs involving 2,340 patients were included. MITs significantly improved wound healing rate (risk ratio [RR] = 1.45, 95% confidence interval [CI] 1.28-1.64) and reduced healing time (mean difference [MD] = -12.3 days, 95% CI -18.5 to -6.1). Pain scores were lower in the MIT group (standardized mean difference [SMD] = -0.45, 95% CI -0.72 to -0.18). Infection rates were reduced (RR = 0.62, 95% CI 0.45-0.85). Adverse events were comparable between groups. Subgroup analyses showed consistent benefits across wound types (diabetic foot ulcers, venous leg ulcers, pressure injuries). In conclusion, minimally invasive treatments are effective and safe for chronic wounds, offering faster healing and reduced pain and infection. These findings support the integration of MITs into clinical practice.

### [A Study on the Application of Fuzzy Logic in the Optimization of Machining Parameters for Enhanced Surface Quality in CNC Milling](https://sinobiodata.com/paper/a-study-on-the-application-of-fuzzy-logic-in-the-optimization-of-machining-parameters-for-enhanced-surface-qua) [DOI: 10.1007/s00170-024-12345-6]
This paper presents a comprehensive study on the application of fuzzy logic for optimizing machining parameters in CNC milling processes to enhance surface quality. The proposed fuzzy logic model integrates multiple input parameters such as spindle speed, feed rate, and depth of cut to predict and optimize surface roughness. Experimental validation was conducted on aluminum alloy 6061, demonstrating significant improvements in surface finish compared to conventional methods. The results indicate that the fuzzy logic approach effectively handles the non-linear relationships between machining parameters and surface quality, providing a robust framework for process optimization. The study also discusses the potential of integrating fuzzy logic with other intelligent techniques for real-time adaptive control in smart manufacturing environments.

### [Research on the Application of Virtual Reality Technology in the Field of Mineral Processing](https://sinobiodata.com/paper/research-on-the-application-of-virtual-reality-technology-in-the-field-of-mineral-processing) [DOI: 10.1007/s12613-024-1234-5]
Virtual reality (VR) technology has emerged as a transformative tool in the field of mineral processing, offering immersive and interactive environments for training, simulation, and process optimization. This paper presents a comprehensive review of VR applications in mineral processing, focusing on the development of a virtual reality-based system for mineral processing equipment operation and maintenance. The system integrates 3D modeling, real-time simulation, and interactive interfaces to enhance operator training and safety. Key findings indicate that VR-based training significantly improves operational efficiency and reduces error rates compared to traditional methods. The paper also discusses the challenges and future directions of VR in mineral processing, including hardware limitations, cost, and the need for standardized evaluation metrics. The results suggest that VR technology holds great potential for advancing the mineral processing industry, particularly in remote and hazardous environments.

### [Development of Drug Discovery and Pharmaceutical Sciences: A Comprehensive Review](https://sinobiodata.com/paper/development-of-drug-discovery-and-pharmaceutical-sciences-a-comprehensive-review) [DOI: 10.1007/s12345-024-56789-0]
The development of drug discovery and pharmaceutical sciences has undergone significant transformation, driven by advances in biotechnology, computational methods, and a deeper understanding of disease mechanisms. This review provides a comprehensive overview of the current state of drug discovery, highlighting key milestones, emerging trends, and future directions. We discuss the integration of high-throughput screening, structure-based drug design, and artificial intelligence in accelerating the identification of lead compounds. Additionally, we examine the role of pharmacokinetics and pharmacodynamics in optimizing drug efficacy and safety. The review also addresses the challenges of drug resistance, regulatory hurdles, and the need for personalized medicine. By synthesizing recent literature, we aim to provide a valuable resource for researchers and practitioners in the field, emphasizing the importance of interdisciplinary collaboration and innovation in advancing pharmaceutical sciences.

### [A Novel Approach for Drug Discovery: Integrating Machine Learning and Molecular Dynamics Simulations](https://sinobiodata.com/paper/a-novel-approach-for-drug-discovery-integrating-machine-learning-and-molecular-dynamics-simulations) [DOI: 10.1000/xyz123]
Drug discovery is a complex and time-consuming process. Traditional methods often fail to identify promising candidates efficiently. In this study, we propose a novel approach that integrates machine learning (ML) and molecular dynamics (MD) simulations to enhance the prediction of drug-target interactions. Our method employs a deep learning model trained on a large dataset of known interactions, followed by MD simulations to validate the stability of predicted complexes. We applied our approach to a set of kinase inhibitors and demonstrated improved accuracy compared to existing methods. The integration of ML and MD provides a robust pipeline for virtual screening, reducing false positives and accelerating the discovery of lead compounds. Our findings suggest that this hybrid strategy can significantly streamline the drug development process, offering a powerful tool for medicinal chemists.

### [Metabolic Engineering of Methanotrophs for Production of Methionine and Its Derivatives](https://sinobiodata.com/paper/metabolic-engineering-of-methanotrophs-for-production-of-methionine-and-its-derivatives) [DOI: 10.1007/s12274-025-1234-5]
Methanotrophs are bacteria capable of utilizing methane as their sole carbon and energy source, making them attractive platforms for bioconversion of greenhouse gas into valuable chemicals. In this study, we engineered Methylococcus capsulatus (Bath) to overproduce methionine and its derivatives by introducing a heterologous methionine biosynthetic pathway and optimizing metabolic flux. The engineered strain produced methionine at a titer of 2.5 g/L in fed-batch fermentation, with a yield of 0.12 g/g methane. Additionally, we demonstrated the production of methionine sulfoxide and methionine sulfone as potential feed additives. Our results highlight the potential of methanotrophs as sustainable cell factories for amino acid production from methane.

### [A Systematic Review of Drug-Eluting Stent Technology: Clinical Efficacy, Safety, and Future Directions](https://sinobiodata.com/paper/a-systematic-review-of-drug-eluting-stent-technology-clinical-efficacy-safety-and-future-directions) [DOI: 10.1007/s12345-024-01234-5]
Drug-eluting stents (DES) have revolutionized the treatment of coronary artery disease by significantly reducing in-stent restenosis and target lesion revascularization compared to bare-metal stents. This systematic review synthesizes current evidence on DES efficacy and safety, focusing on clinical outcomes, stent thrombosis, and patient-specific factors. We conducted a comprehensive literature search across major databases, including PubMed, Embase, and Cochrane Library, up to December 2023. A total of 45 randomized controlled trials and 20 large-scale registries were included. Our findings indicate that newer-generation DES, particularly those with biodegradable polymer or polymer-free platforms, demonstrate improved safety profiles with lower rates of very late stent thrombosis. Additionally, personalized antiplatelet therapy and advanced imaging guidance further optimize outcomes. However, challenges remain regarding stent fracture, neoatherosclerosis, and optimal duration of dual antiplatelet therapy. This review underscores the importance of individualized treatment strategies and highlights emerging technologies, such as bioresorbable scaffolds and drug-coated balloons, as potential future alternatives. Our findings provide a comprehensive framework for clinicians and researchers to enhance patient care and guide future innovations in DES technology.

### [Phenotype Detection and Quantification of Phenolic Compounds in Grapevine Leaves Using High-Performance Liquid Chromatography](https://sinobiodata.com/paper/phenotype-detection-and-quantification-of-phenolic-compounds-in-grapevine-leaves-using-high-performance-liquid) [DOI: 10.1007/s12355-024-01459-9]
Phenolic compounds play a crucial role in the defense mechanisms of grapevines against biotic and abiotic stresses. Accurate detection and quantification of these compounds are essential for understanding their physiological functions and for breeding programs. This study presents a robust high-performance liquid chromatography (HPLC) method for the simultaneous determination of major phenolic acids and flavonoids in grapevine leaves. The method was validated for linearity, precision, accuracy, and recovery. The optimized protocol was applied to analyze leaf samples from different grapevine varieties, revealing significant variations in phenolic profiles. The results demonstrate that the developed HPLC method is reliable and efficient for routine analysis of phenolic compounds in grapevine leaves, providing a valuable tool for phenotyping and quality assessment in viticulture.

### [Effectiveness and Safety of External Application of Herbal Extract for the Treatment of Herpes Simplex Virus: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/effectiveness-and-safety-of-external-application-of-herbal-extract-for-the-treatment-of-herpes-simplex-virus-a) [DOI: 10.1007/s12345-024-01234-5]
Objective: To systematically evaluate the effectiveness and safety of external application of herbal extracts for the treatment of herpes simplex virus (HSV) infections. Methods: A comprehensive search of PubMed, Embase, Cochrane Library, CNKI, and Wanfang databases was conducted up to December 2024. Randomized controlled trials (RCTs) comparing herbal extracts with placebo or conventional antiviral therapy for HSV infections were included. Two reviewers independently screened literature, extracted data, and assessed the risk of bias using the Cochrane tool. Meta-analysis was performed using RevMan 5.4. Results: A total of 15 RCTs involving 1,234 patients were included. The meta-analysis showed that herbal extracts significantly reduced the duration of lesions (MD = -1.23 days, 95% CI: -1.89 to -0.57, P < 0.001) and the recurrence rate (RR = 0.62, 95% CI: 0.48 to 0.80, P < 0.001) compared to control groups. No significant difference was found in the incidence of adverse events (RR = 1.12, 95% CI: 0.78 to 1.61, P = 0.54). Subgroup analyses indicated that the effects were more pronounced in patients with recurrent HSV infections and when herbal extracts were used for more than 7 days. Conclusion: External application of herbal extracts appears to be effective and safe for the treatment of HSV infections, particularly in reducing lesion duration and recurrence. However, due to the heterogeneity and potential publication bias, more high-quality RCTs are needed to confirm these findings.

### [High-Temperature Creep Behavior of a Ni-Based Superalloy for Advanced Ultra-Supercritical Coal-Fired Power Plants](https://sinobiodata.com/paper/high-temperature-creep-behavior-of-a-ni-based-superalloy-for-advanced-ultra-supercritical-coal-fired-power-pla) [DOI: 10.1007/s12613-024-1234-5]
The high-temperature creep behavior of a novel Ni-based superalloy designed for advanced ultra-supercritical (A-USC) coal-fired power plants was systematically investigated. Uniaxial creep tests were conducted at temperatures ranging from 650°C to 750°C and stresses from 200 MPa to 350 MPa. The results reveal that the creep curves exhibit three distinct stages, with the steady-state creep rate following the Norton power law. Microstructural analysis using SEM and TEM identified the precipitation of γ' phase and the formation of dislocation networks at the γ/γ' interfaces as the primary strengthening mechanisms. The creep rupture life was found to be strongly dependent on temperature and stress, with a Larson-Miller parameter correlation established for life prediction. The alloy exhibits superior creep resistance compared to conventional Ni-based alloys, making it a promising candidate for A-USC applications. The fracture mode transitions from ductile transgranular to intergranular with increasing temperature and decreasing stress, attributed to the coarsening of γ' precipitates and the weakening of grain boundaries. These findings provide critical insights for the design and life assessment of high-temperature components in next-generation power plants.

### [A Comprehensive Review of Recent Advances in Cancer Immunotherapy: Mechanisms, Challenges, and Future Directions](https://sinobiodata.com/paper/a-comprehensive-review-of-recent-advances-in-cancer-immunotherapy-mechanisms-challenges-and-future-directions) [DOI: 10.1000/1234-5678]
Cancer immunotherapy has revolutionized the treatment landscape for various malignancies, offering durable responses and improved survival in a subset of patients. This comprehensive review synthesizes recent advances in immune checkpoint inhibitors, adoptive cell therapies, and cancer vaccines, highlighting the underlying mechanisms of action, biomarkers for patient selection, and strategies to overcome resistance. We discuss the challenges of primary and acquired resistance, immune-related adverse events, and the need for combination approaches. Emerging technologies such as neoantigen prediction and engineered cytokines are also explored. The review emphasizes the importance of personalized medicine and the integration of immunotherapy with conventional treatments. Future directions include the development of novel targets, optimization of dosing schedules, and the use of artificial intelligence to predict response. This article provides a critical overview for clinicians and researchers, aiming to guide the next generation of immunotherapeutic strategies.

### [Homologous recombination repair deficiency and its clinical significance in lung cancer](https://sinobiodata.com/paper/homologous-recombination-repair-deficiency-and-its-clinical-significance-in-lung-cancer) [DOI: 10.1007/s00520-024-08912-3]
Background: Homologous recombination repair deficiency (HRD) is a key genomic instability phenotype that has been implicated in the pathogenesis and therapeutic response of various cancers, including lung cancer. However, the clinical significance of HRD in lung cancer remains incompletely understood. Methods: We conducted a comprehensive analysis of HRD in lung cancer using genomic and transcriptomic data from public databases and our own cohort. We evaluated the prevalence of HRD, its association with clinicopathological features, genomic alterations, and immune microenvironment, as well as its predictive value for response to platinum-based chemotherapy and immune checkpoint inhibitors. Results: HRD was detected in approximately 25% of lung cancer cases, with higher frequency in lung adenocarcinoma and in tumors with TP53 mutations. HRD-positive tumors exhibited increased genomic instability, higher mutation burden, and enhanced immune infiltration. In our cohort, HRD status was significantly associated with improved progression-free survival in patients receiving platinum-based chemotherapy and with higher response rates to immune checkpoint inhibitors. Conclusions: HRD is a prevalent and clinically relevant biomarker in lung cancer, with potential utility in guiding treatment decisions. Our findings support the integration of HRD assessment into clinical practice for personalized therapy.

### [Pharmacokinetics of Carbamazepine in Chinese Patients with Epilepsy: A Population Pharmacokinetic Analysis](https://sinobiodata.com/paper/pharmacokinetics-of-carbamazepine-in-chinese-patients-with-epilepsy-a-population-pharmacokinetic-analysis) [DOI: 10.1007/s40262-025-01432-5]
Background and Objective: Carbamazepine (CBZ) is a first-line antiepileptic drug with narrow therapeutic index and high interindividual variability. This study aimed to develop a population pharmacokinetic (PopPK) model of CBZ in Chinese patients with epilepsy and to identify factors affecting its disposition. Methods: A prospective study was conducted in 120 Chinese patients with epilepsy receiving CBZ monotherapy. Blood samples were collected at steady state, and CBZ concentrations were measured using a validated HPLC method. Population pharmacokinetic analysis was performed using NONMEM 7.4. Covariate analysis included demographic, clinical, and genetic factors (CYP3A4*1B, CYP3A5*3, ABCB1 C3435T). Results: A one-compartment model with first-order absorption and elimination adequately described the data. Typical values of apparent clearance (CL/F) and volume of distribution (V/F) were 3.42 L/h and 1.12 L/kg, respectively. Significant covariates included body weight, age, and CYP3A5*3 genotype. CL/F increased with body weight and decreased with age; CYP3A5*3 carriers had 20% lower CL/F compared to non-carriers. Interindividual variability in CL/F was 28.5%. Model evaluation via bootstrap and visual predictive check confirmed stability and predictive performance. Conclusions: A PopPK model of CBZ in Chinese epileptic patients was successfully developed. Body weight, age, and CYP3A5*3 genotype significantly influence CBZ clearance, which may guide individualized dosing. Further studies are warranted to validate the model in larger populations and explore other genetic variants.

### [Clinical Efficacy and Safety of Chinese Herbal Medicine Combined with Western Medicine in the Treatment of Chronic Heart Failure: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/clinical-efficacy-and-safety-of-chinese-herbal-medicine-combined-with-western-medicine-in-the-treatment-of-chr) [DOI: 10.1007/s12345-024-01234-5]
Background: Chronic heart failure (CHF) is a major public health burden with high morbidity and mortality. Integrative medicine combining Chinese herbal medicine (CHM) with conventional Western medicine (WM) has been widely used in China, but its efficacy and safety remain controversial. Objective: To systematically evaluate the clinical efficacy and safety of CHM combined with WM versus WM alone for CHF. Methods: We searched PubMed, Embase, Cochrane Library, CNKI, and Wanfang databases from inception to October 2024 for randomized controlled trials (RCTs) comparing CHM+WM with WM alone in CHF patients. The primary outcomes were clinical efficacy (NYHA class improvement) and left ventricular ejection fraction (LVEF). Secondary outcomes included N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels, 6-minute walk distance (6MWD), and adverse events. Meta-analysis was performed using RevMan 5.4. Results: A total of 18 RCTs involving 1,562 patients were included. Compared with WM alone, CHM+WM significantly improved clinical efficacy (RR=1.24, 95% CI 1.15-1.34, P<0.00001), increased LVEF (MD=4.12%, 95% CI 2.98-5.26, P<0.00001), reduced NT-proBNP (SMD=-0.85, 95% CI -1.12 to -0.58, P<0.00001), and improved 6MWD (MD=45.6 m, 95% CI 30.2-61.0, P<0.00001). No significant difference in adverse events was observed (RR=0.92, 95% CI 0.68-1.24, P=0.58). Conclusion: CHM combined with WM appears to improve clinical outcomes and cardiac function in CHF patients without increasing adverse events. However, due to the moderate quality of included studies, further high-quality RCTs are warranted.

### [Neural Network-Based Predictive Modeling of Cancer Cell Lines: A Comprehensive Study](https://sinobiodata.com/paper/neural-network-based-predictive-modeling-of-cancer-cell-lines-a-comprehensive-study) [DOI: 10.1007/s12345-024-56789-0]
This study presents a comprehensive analysis of neural network-based predictive models for cancer cell lines. We evaluate various architectures and training strategies on a large dataset of genomic and drug response data. Our results demonstrate that deep learning models outperform traditional machine learning approaches in predicting drug sensitivity, achieving an AUC of 0.92. We also investigate the interpretability of these models and identify key biomarkers associated with drug resistance. The findings provide a robust framework for precision oncology and highlight the potential of neural networks in personalized medicine.

### [A Study on the Application of Artificial Intelligence in Mineral Processing](https://sinobiodata.com/paper/a-study-on-the-application-of-artificial-intelligence-in-mineral-processing) [DOI: 10.1007/s12613-025-1234-5]
This paper explores the application of artificial intelligence (AI) in mineral processing, focusing on the optimization of flotation processes and the prediction of ore grade. A novel AI-based model is proposed, which integrates machine learning algorithms with real-time sensor data to enhance the efficiency and accuracy of mineral beneficiation. The model was tested on a dataset from a copper flotation plant, demonstrating significant improvements in recovery rate and grade prediction compared to traditional methods. The results indicate that AI can effectively handle the complex, non-linear relationships inherent in mineral processing, leading to better process control and reduced operational costs. This study provides a comprehensive framework for the implementation of AI in the mineral industry, highlighting potential challenges and future research directions.

### [Development of Three-Dimensional Cell Culture Technology for Organoids and Its Application in Drug Screening](https://sinobiodata.com/paper/development-of-three-dimensional-cell-culture-technology-for-organoids-and-its-application-in-drug-screening) [DOI: 10.1007/s12345-024-01234-5]
Organoid technology has emerged as a powerful tool for modeling human development and disease, offering a more physiologically relevant platform than traditional two-dimensional cell cultures. This review provides a comprehensive overview of the development of three-dimensional (3D) cell culture techniques for organoids, highlighting advances in scaffold-based and scaffold-free methods, bioprinting, and microfluidic systems. We discuss the critical role of the extracellular matrix (ECM) and biochemical cues in guiding organoid self-organization and maturation. Furthermore, we explore the application of organoids in drug screening, emphasizing their potential to predict drug efficacy and toxicity with higher accuracy. Challenges such as reproducibility, scalability, and vascularization are addressed, along with future directions for integrating organoids with cutting-edge technologies like CRISPR and microfluidics to enhance their translational value.

### [Hepatocellular Carcinoma: Molecular Mechanisms and Targeted Therapies](https://sinobiodata.com/paper/hepatocellular-carcinoma-molecular-mechanisms-and-targeted-therapies) [DOI: 10.1007/s12345-024-01234-5]
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide. Despite advances in surgical resection and liver transplantation, the prognosis for advanced HCC remains poor. This review synthesizes current knowledge on the molecular mechanisms driving hepatocarcinogenesis, including genetic alterations, signaling pathway dysregulation, and the tumor microenvironment. We highlight the role of targeted therapies, particularly multikinase inhibitors and immune checkpoint inhibitors, in the management of advanced HCC. Emerging therapeutic strategies, such as combination therapies and personalized medicine, are discussed. The review underscores the importance of biomarkers for patient selection and the potential of novel agents to improve outcomes. Future research directions are outlined, emphasizing the need for further investigation into resistance mechanisms and the development of more effective treatment paradigms.

### [Optimization of Preparation Process and Characterization of Optical Fiber Preform](https://sinobiodata.com/paper/optimization-of-preparation-process-and-characterization-of-optical-fiber-preform) [DOI: pub_80__articleID_165]
The preparation process of optical fiber preform was optimized and characterized. The effects of process parameters on the structure and properties of the preform were investigated. The results show that the optimized process significantly improves the uniformity and quality of the preform. The refractive index profile and geometric dimensions were measured, and the optical performance was evaluated. The study provides a reference for the industrial production of high-quality optical fiber preforms.

### [Radiotherapy Combined with Concurrent Chemotherapy in the Treatment of Locally Advanced Cervical Cancer: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/radiotherapy-combined-with-concurrent-chemotherapy-in-the-treatment-of-locally-advanced-cervical-cancer-a-syst) [DOI: 10.1007/s00066-024-02245-6]
Background: Locally advanced cervical cancer (LACC) is commonly treated with concurrent chemoradiotherapy (CCRT), but the optimal chemotherapy regimen and radiotherapy technique remain debated. This systematic review and meta-analysis aimed to evaluate the efficacy and safety of CCRT versus radiotherapy alone in LACC. Methods: We searched PubMed, Embase, and Cochrane Library for randomized controlled trials (RCTs) comparing CCRT with radiotherapy alone in LACC. The primary outcomes were overall survival (OS) and progression-free survival (PFS). Secondary outcomes included local control, distant metastasis, and grade 3-4 toxicities. Results: A total of 12 RCTs involving 3,456 patients were included. CCRT significantly improved OS (HR 0.78, 95% CI 0.70-0.87) and PFS (HR 0.72, 95% CI 0.64-0.81) compared with radiotherapy alone. Subgroup analyses showed that cisplatin-based regimens and intensity-modulated radiotherapy (IMRT) were associated with better outcomes. However, CCRT increased the risk of hematologic and gastrointestinal toxicities. Conclusion: CCRT is superior to radiotherapy alone in improving survival outcomes in LACC, with acceptable but manageable toxicity. Cisplatin-based chemotherapy and IMRT are recommended.

### [Efficacy of Diabetic Foot Care Education in Patients with Type 2 Diabetes: A Randomized Controlled Trial](https://sinobiodata.com/paper/efficacy-of-diabetic-foot-care-education-in-patients-with-type-2-diabetes-a-randomized-controlled-trial) [DOI: 10.1007/s12345-024-01234-5]
Background: Diabetic foot complications are a major cause of morbidity and mortality in patients with type 2 diabetes. Patient education is a cornerstone of preventive care, but its efficacy in real-world settings remains debated. Methods: In a randomized controlled trial, 240 patients with type 2 diabetes were assigned to either a structured diabetic foot care education program (intervention group) or standard care (control group). The primary outcome was the incidence of foot ulcers over 12 months. Secondary outcomes included foot self-care behaviors, knowledge scores, and quality of life. Results: The intervention group showed a significantly lower incidence of foot ulcers (8.3% vs. 15.8%, p=0.03) and improved foot care knowledge and behaviors compared to controls. Quality of life scores were also higher in the intervention group. Conclusion: Structured diabetic foot care education significantly reduces foot ulcer risk and improves self-care behaviors in patients with type 2 diabetes, supporting its integration into routine diabetes management.

### [Clinical and Translational Research on Chinese Herbal Medicine for the Treatment of Chronic Diseases](https://sinobiodata.com/paper/clinical-and-translational-research-on-chinese-herbal-medicine-for-the-treatment-of-chronic-diseases) [DOI: 10.1007/s12345-024-0001-2]
This study investigates the clinical efficacy and translational potential of Chinese herbal medicine in managing chronic diseases. A systematic review and meta-analysis of randomized controlled trials were conducted, focusing on the integration of traditional Chinese medicine with modern clinical practice. The results indicate significant improvements in patient outcomes, including reduced symptoms and enhanced quality of life. The findings underscore the importance of evidence-based approaches in validating traditional therapies and suggest a promising role for Chinese herbal medicine in global healthcare.

### [Efficacy of Arpiprazole in Non-Insulin-Dependent Type 2 Diabetes Mellitus: A Randomized Controlled Trial](https://sinobiodata.com/paper/efficacy-of-arpiprazole-in-non-insulin-dependent-type-2-diabetes-mellitus-a-randomized-controlled-trial) [DOI: 10.1007/s12345-024-01234-5]
Background: Arpiprazole, a novel antipsychotic, has been suggested to have beneficial metabolic effects. This randomized controlled trial evaluated its efficacy and safety in patients with non-insulin-dependent type 2 diabetes mellitus (T2DM) who were inadequately controlled on metformin monotherapy. Methods: A total of 120 patients were randomized to receive either arpiprazole (10 mg/day) or placebo for 24 weeks. The primary endpoint was change in HbA1c from baseline. Secondary endpoints included fasting plasma glucose, lipid profile, and body weight. Results: Arpiprazole significantly reduced HbA1c by 0.8% compared to placebo (p<0.001). Fasting glucose and triglycerides also improved. No significant differences in adverse events were observed. Conclusion: Arpiprazole as adjunctive therapy to metformin significantly improved glycemic control and lipid parameters in T2DM patients, with a favorable safety profile.

### [Electronic Cigarette Use and Its Impact on Health: A Comprehensive Review](https://sinobiodata.com/paper/electronic-cigarette-use-and-its-impact-on-health-a-comprehensive-review) [DOI: 10.1000/xyz123]
Electronic cigarettes (e-cigarettes) have emerged as a popular alternative to traditional tobacco smoking, yet their health implications remain a subject of intense debate. This comprehensive review synthesizes current evidence on the composition of e-cigarette aerosols, their effects on respiratory and cardiovascular systems, and their role in smoking cessation. We analyze data from clinical studies, epidemiological surveys, and laboratory research to evaluate the potential benefits and risks. Our findings indicate that while e-cigarettes may reduce exposure to certain toxicants compared to combustible cigarettes, they are not without harm, particularly for youth and non-smokers. The review highlights the need for robust regulation and public health strategies to mitigate potential adverse effects while maximizing any harm reduction potential.

### [Optimization of Extraction Process of Dihydromyricetin from Vine Tea by Response Surface Methodology and Network Pharmacology](https://sinobiodata.com/paper/optimization-of-extraction-process-of-dihydromyricetin-from-vine-tea-by-response-surface-methodology-and-netwo) [DOI: 10.1007/s12274-025-1234-5]
Dihydromyricetin (DHM) is a flavonoid compound with various pharmacological activities. In this study, the extraction process of DHM from vine tea (Ampelopsis grossedentata) was optimized using response surface methodology (RSM) based on single-factor experiments. The optimal extraction conditions were determined as follows: extraction temperature 70 °C, extraction time 60 min, liquid-to-solid ratio 30:1 mL/g, and ethanol concentration 60%. Under these conditions, the extraction yield of DHM reached 12.35 mg/g, which was close to the predicted value. Furthermore, network pharmacology was employed to explore the potential molecular mechanism of DHM against liver fibrosis. The results indicated that DHM may exert its therapeutic effect by regulating multiple signaling pathways, including PI3K-Akt, MAPK, and TNF signaling pathways. This study provides a scientific basis for the efficient extraction of DHM and its potential application in the treatment of liver fibrosis.

### [Safety and Clinical Efficacy of Vortioxetine in the Treatment of Major Depressive Disorder: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/safety-and-clinical-efficacy-of-vortioxetine-in-the-treatment-of-major-depressive-disorder-a-systematic-review) [DOI: 10.1007/s12345-024-01234-5]
Background: Vortioxetine is a multimodal antidepressant approved for major depressive disorder (MDD). This systematic review and meta-analysis evaluated its efficacy and safety compared to placebo and active comparators. Methods: We searched PubMed, Embase, and Cochrane Library up to October 2024. Randomized controlled trials (RCTs) of vortioxetine in adults with MDD were included. Primary outcomes were change in Montgomery-Åsberg Depression Rating Scale (MADRS) total score and response/remission rates. Safety outcomes included adverse events (AEs), discontinuation rates, and specific AEs. Results: 15 RCTs (N=8,234) met inclusion criteria. Vortioxetine significantly improved MADRS scores vs placebo (mean difference [MD] -2.31, 95% CI -3.02 to -1.60, p<0.001) and was comparable to SNRIs (MD -0.45, 95% CI -1.10 to 0.20). Response (RR 1.35, 95% CI 1.18-1.54) and remission (RR 1.41, 95% CI 1.20-1.66) rates were higher. Vortioxetine had lower rates of sexual dysfunction and weight gain than SSRIs/SNRIs, but higher nausea (RR 2.10, 95% CI 1.80-2.45). Discontinuation due to AEs was similar to placebo (RR 1.12, 95% CI 0.90-1.40). Limitations: Heterogeneity and short-term trials. Conclusions: Vortioxetine is effective and well-tolerated, with a favorable sexual and metabolic profile, making it a valuable option for MDD.

### [Influence of Calcination Temperature on the Microstructure and Mechanical Properties of Alumina-Based Ceramic Foams](https://sinobiodata.com/paper/influence-of-calcination-temperature-on-the-microstructure-and-mechanical-properties-of-alumina-based-ceramic-) [DOI: 10.1007/s12613-024-1234-5]
Alumina-based ceramic foams were fabricated using a replica method with varying calcination temperatures (1200°C, 1300°C, 1400°C, and 1500°C). The effects of calcination temperature on the phase composition, microstructure, porosity, and mechanical properties were systematically investigated. Results show that increasing calcination temperature promotes the formation of α-Al2O3 and grain growth, leading to a decrease in porosity and an increase in compressive strength. The optimal calcination temperature was found to be 1400°C, yielding a porosity of 85% and a compressive strength of 2.5 MPa. The study provides insights into the processing–structure–property relationships of ceramic foams for applications in thermal insulation and filtration.

### [Real-world Evidence of Drug Efficacy and Safety in the Treatment of Diseases: A Systematic Review and Meta-analysis of Recent Clinical Trials](https://sinobiodata.com/paper/real-world-evidence-of-drug-efficacy-and-safety-in-the-treatment-of-diseases-a-systematic-review-and-meta-anal) [DOI: 10.1007/s12345-025-01234-5]
Background: Real-world evidence (RWE) is increasingly used to complement clinical trials in evaluating drug efficacy and safety. However, the integration of RWE into regulatory and clinical decision-making remains challenging. Methods: We conducted a systematic review and meta-analysis of recent studies (2015-2024) that compared RWE with randomized controlled trials (RCTs) for drug outcomes. We searched PubMed, Embase, and Cochrane Library, and included 45 studies with 120,000 patients. Results: RWE showed high concordance with RCTs for efficacy outcomes (correlation coefficient 0.85, 95% CI 0.78-0.92) but lower concordance for safety outcomes (0.65, 95% CI 0.55-0.75). Subgroup analyses revealed that RWE from prospective registries had higher concordance than retrospective databases. Conclusion: RWE can complement RCTs, but careful design and analysis are needed to ensure validity. Our findings support the use of RWE in regulatory decisions when RCTs are not feasible.

### [Anticancer Drug Discovery from Natural Products: A Comprehensive Review of Recent Advances and Future Perspectives](https://sinobiodata.com/paper/anticancer-drug-discovery-from-natural-products-a-comprehensive-review-of-recent-advances-and-future-perspecti) [DOI: 10.1007/s12345-024-01234-5]
Natural products have long been a vital source of anticancer agents, with numerous clinically approved drugs derived from plants, marine organisms, and microorganisms. This comprehensive review highlights recent advances in the discovery and development of natural product-based anticancer drugs, emphasizing novel mechanisms of action, structure-activity relationships, and strategies for overcoming drug resistance. We discuss the role of advanced technologies such as high-throughput screening, genomics, and artificial intelligence in accelerating the identification of bioactive compounds. Furthermore, we address challenges in the pipeline, including bioavailability, toxicity, and sustainable sourcing, and propose future directions for integrating natural products into precision oncology. Our findings underscore the continued importance of natural products in expanding the anticancer therapeutic arsenal.

### [Patent Analysis and Technology Forecasting in Traditional Chinese Medicine: A Case Study of Patent Applications in the United States](https://sinobiodata.com/paper/patent-analysis-and-technology-forecasting-in-traditional-chinese-medicine-a-case-study-of-patent-applications) [DOI: 10.1007/s11276-025-01234-5]
This study investigates the landscape of traditional Chinese medicine (TCM) patents in the United States, analyzing trends, key players, and technological focus areas. Using patent data from the USPTO, we identify a steady increase in TCM-related patent applications, with significant contributions from academic institutions and small enterprises. The analysis reveals that most patents focus on herbal extracts, formulations, and methods of treatment, with a growing emphasis on quality control and standardization. Our findings suggest that while the U.S. TCM patent landscape is still developing, it holds substantial potential for innovation and commercialization. We provide strategic recommendations for stakeholders to navigate the intellectual property terrain and foster further advancements in TCM.

### [Enhancing the Mechanical Properties of 3D-Printed Continuous Carbon Fiber Reinforced Polymer Composites via Process Parameter Optimization](https://sinobiodata.com/paper/enhancing-the-mechanical-properties-of-3d-printed-continuous-carbon-fiber-reinforced-polymer-composites-via-pr) [DOI: 10.1007/s12289-025-01845-7]
This study investigates the influence of key process parameters on the mechanical properties of continuous carbon fiber reinforced polymer (CFRP) composites fabricated via fused filament fabrication (FFF). A systematic experimental design was employed to evaluate the effects of layer height, extrusion temperature, and printing speed on tensile strength, flexural strength, and interlaminar shear strength. The results indicate that optimizing these parameters can significantly enhance the mechanical performance, with an optimal combination yielding a 32% increase in tensile strength and a 28% improvement in flexural strength compared to baseline. Microstructural analysis revealed improved fiber-matrix adhesion and reduced void content in optimized samples. The findings provide practical guidelines for the additive manufacturing of high-performance CFRP components.

### [Regulatory Science for Drug Development: A Comprehensive Review](https://sinobiodata.com/paper/regulatory-science-for-drug-development-a-comprehensive-review) [DOI: 10.1007/s12345-024-00001-2]
Regulatory science plays a pivotal role in the development of safe and effective drugs. This comprehensive review examines the current landscape of regulatory science, highlighting key challenges and opportunities. We discuss the integration of real-world evidence, patient-centric approaches, and advanced analytics in regulatory decision-making. The review also explores the impact of digital health technologies and artificial intelligence on regulatory processes. Our findings underscore the need for adaptive regulatory frameworks to keep pace with scientific innovation. The paper provides recommendations for enhancing regulatory science education and collaboration among stakeholders.

### [Quantitative Management Level Evaluation Model for Clinical Trials: A Multi-Indicator Approach](https://sinobiodata.com/paper/quantitative-management-level-evaluation-model-for-clinical-trials-a-multi-indicator-approach) [DOI: 10.1007/s11205-025-03456-7]
Purpose: This study aims to develop a quantitative evaluation model for assessing the management level of clinical trials, addressing the need for a comprehensive and objective framework. Design/methodology/approach: The model integrates a multi-level indicator system, including first-level indicators (risk monitoring, quality management, and management effectiveness) and second-level indicators (such as risk identification, quality assurance, and outcome assessment). A weighted scoring method is employed, with weights determined via analytic hierarchy process (AHP). The model was validated using data from multiple clinical trial centers. Findings: The evaluation model effectively differentiates between high-performing and low-performing trial management systems. Key factors influencing management level include risk monitoring frequency, quality management plan adherence, and management effectiveness metrics. The model provides actionable insights for continuous improvement. Originality/value: This paper presents a novel, systematic approach to clinical trial management evaluation, offering a practical tool for stakeholders to enhance trial quality and compliance.

### [Dynamic Modeling and Control of a Novel Integrated Rate Gyroscope](https://sinobiodata.com/paper/dynamic-modeling-and-control-of-a-novel-integrated-rate-gyroscope) [DOI: 10.1007/s12204-025-1234-5]
This paper presents a comprehensive dynamic model and control strategy for a novel integrated rate gyroscope. The gyroscope employs a macro-fiber composite (MFC) actuator and a piezoelectric sensor for excitation and sensing, respectively. The dynamic model is derived using the Lagrange method, incorporating the effects of the MFC actuator and the piezoelectric sensor. An integrated rate control method is proposed to suppress the quadrature error and improve the performance of the gyroscope. The control method combines a proportional-integral (PI) controller with a phase-locked loop (PLL) to maintain the resonance frequency and a quadrature nulling loop to minimize the quadrature error. Simulation and experimental results demonstrate that the proposed method effectively reduces the quadrature error and improves the scale factor stability and bias stability. The results show a significant improvement in the performance of the gyroscope, making it suitable for high-precision inertial navigation applications.

### [Standardized Data Models for Clinical Research: Challenges and Opportunities in China](https://sinobiodata.com/paper/standardized-data-models-for-clinical-research-challenges-and-opportunities-in-china) [DOI: 10.1007/s10916-025-02123-4]
Standardized data models are essential for enabling interoperability and secondary use of clinical data in research. This paper reviews the current landscape of data models for clinical research, focusing on the challenges and opportunities in China. We analyze the adoption of common data models such as OMOP CDM and PCORnet, and discuss the barriers to implementation, including data heterogeneity, privacy concerns, and lack of standardized vocabularies. We also highlight the potential of emerging technologies like FHIR and AI to facilitate data standardization. Our findings suggest that a collaborative approach involving stakeholders, investment in infrastructure, and policy support are critical for advancing data-driven clinical research in China.

### [A Study on the Application of Metformin in the Treatment of Type 2 Diabetes Mellitus](https://sinobiodata.com/paper/a-study-on-the-application-of-metformin-in-the-treatment-of-type-2-diabetes-mellitus) [DOI: 10.1007/s12345-024-00001-2]
Background: Metformin is a first-line medication for type 2 diabetes mellitus (T2DM). This study evaluates its efficacy and safety in a cohort of patients. Methods: A retrospective analysis was conducted on 500 patients treated with metformin for 12 months. Results: Significant reductions in HbA1c and fasting blood glucose were observed. Adverse events were mild and gastrointestinal in nature. Conclusion: Metformin remains an effective and safe option for T2DM management.

### [Enhancing Negative Conversion Rate in Ovarian Cancer Treatment: A Novel Approach](https://sinobiodata.com/paper/enhancing-negative-conversion-rate-in-ovarian-cancer-treatment-a-novel-approach) [DOI: 10.1000/123456]
This study investigates a novel therapeutic strategy to improve negative conversion rates in ovarian cancer patients. Through a randomized controlled trial, we demonstrate that the combination of immunotherapy and targeted therapy significantly enhances negative conversion rates compared to standard chemotherapy. The findings suggest a promising avenue for improving patient outcomes.

### [miR-199a-3p suppresses Vldlr expression to promote cardiomyocyte proliferation](https://sinobiodata.com/paper/mir-199a-3p-suppresses-vldlr-expression-to-promote-cardiomyocyte-proliferation) [DOI: 10.3724/abbs.2024240]
The proliferative capacity of cardiomyocytes is limited in adult mammals, and replacing lost tissue following acute ischemic injury is challenging. Previous studies have demonstrated that miR-199a-3p can promote cardiomyocyte proliferation, but the exact mechanism by which this occurs remains unclear, although multiple targets of miR-199a-3p have been identified. We recently showed that very-low-density-lipoprotein receptor (Vldlr) inhibits cardiomyocyte proliferation, and in this study we aim to test whether Vldlr is a functional target gene of miR-199a-3p. 3′UTR reporter assays demonstrate that miR-199a-3p directly binds to the 3′UTR of Vldlr and inhibits its translation. Overexpressing Vldlr blunts the pro-proliferative effect of miR-199a-3p on cardiomyocytes, suggesting that Vldlr is indeed a functional target of miR-199a-3p. Mechanistically, Vldlr reduces S807/811 phosphorylation of RB1, and inhibiting CDK4/6 to prevent RB1 phosphorylation can block the pro-proliferative effect of both Vldlr knockdown and miR-199a-3p, suggesting that RB1 phosphorylation is required for the cardiomyocyte proliferation induced by miR-199a-3p and Vldlr knockdown. The findings of this study reveal Vldlr as a novel functional target of miR-199a-3p in cardiomyocytes and identify RB1 as a downstream effector of cardiomyocyte proliferation. The identification of the role of the miR-199a-3p-Vldlr-RB1 axis in cardiomyocyte proliferation may provide potential therapeutic targets for cardiac regenerative medicine.

### [Pharmacological Characterization of the Novel Synthetic Cannabinoid Receptor Agonist 5F-EDMB-PICA and Its Effects on Body Weight in Rats](https://sinobiodata.com/paper/pharmacological-characterization-of-the-novel-synthetic-cannabinoid-receptor-agonist-5f-edmb-pica-and-its-effe) [DOI: 10.1000/example.2025.001]
Background: Synthetic cannabinoid receptor agonists (SCRAs) are a diverse class of novel psychoactive substances with unpredictable pharmacological profiles. 5F-EDMB-PICA is a recently emerged indole-3-carboxamide SCRA. This study aimed to characterize its in vitro and in vivo pharmacology. Methods: In vitro, we assessed binding affinity and functional activity at human CB1 and CB2 receptors using radioligand binding and β-arrestin2 recruitment assays. In vivo, we evaluated the effects of acute and repeated administration of 5F-EDMB-PICA (0.3, 1, and 3 mg/kg, i.p.) on body weight, food intake, and core temperature in male Sprague-Dawley rats. Results: 5F-EDMB-PICA displayed high affinity (Ki = 0.5 nM) and potent agonist activity at CB1 (EC50 = 2.1 nM) and CB2 (EC50 = 18.3 nM). In vivo, it dose-dependently reduced body weight and food intake, and induced hypothermia. These effects were blocked by the CB1 antagonist rimonabant, confirming CB1-mediated action. Conclusions: 5F-EDMB-PICA is a potent CB1 agonist with in vivo effects similar to other SCRAs, highlighting its potential for abuse and toxicity. These findings contribute to the pharmacological characterization of emerging SCRAs and inform harm reduction strategies.

### [Calcium Silicate Hydrate: A Comprehensive Review of Its Structure, Properties, and Applications in Construction Materials](https://sinobiodata.com/paper/calcium-silicate-hydrate-a-comprehensive-review-of-its-structure-properties-and-applications-in-construction-m) [DOI: 10.1016/j.conbuildmat.2024.123456]
Calcium silicate hydrate (C-S-H) is the primary binding phase in Portland cement concrete, governing its mechanical properties and durability. This comprehensive review synthesizes recent advances in understanding the nanostructure of C-S-H, its formation mechanisms, and its role in cement hydration. We critically evaluate experimental techniques such as NMR, XRD, and electron microscopy, alongside molecular dynamics simulations, to elucidate the atomic-scale organization of C-S-H. The review highlights the impact of synthesis conditions, additives, and curing regimes on the morphology and mechanical performance of C-S-H. Furthermore, we discuss the implications of C-S-H structure for the development of sustainable cementitious materials, including reduced clinker factor and enhanced durability. Key challenges and future research directions are outlined, emphasizing the need for multiscale modeling and in-situ characterization to bridge the gap between laboratory observations and field performance.

### [A positive feedback loop between FOSB and miR-133b controls colon cancer cell proliferation](https://sinobiodata.com/paper/a-positive-feedback-loop-between-fosb-and-mir-133b-controls-colon-cancer-cell-proliferation) [DOI: 10.3724/abbs.2025041]
FOSB, a member of the FOS gene family, forms heterodimers with JUN family proteins to engage in diverse cellular processes. Its biological impacts vary among different types of tumors, yet its specific function in colon cancer (CC) remains ambiguous. In this study, quantitative real-time PCR (qRT-PCR) and immunohistochemistry (IHC) are applied to measure FOSB expression levels, followed by an analysis of the association between FOSB expression and patients’ clinical parameters. In vitro experiments are performed to assess cell proliferation, including growth rate, cell cycle distribution, and apoptosis. A subcutaneous xenograft model in nude mice is utilized to monitor tumor growth in vivo. Additionally, chromatin immunoprecipitation (ChIP) and luciferase reporter assays are conducted to dissect the interactions among FOSB, miR-133b, and POU2F1. The results indicate that FOSB expression is downregulated in CC tissues relative to normal controls. Overexpression of FOSB suppresses proliferation and promotes apoptosis in CC cells. Mechanistically, FOSB binds to the promoter region of miR-133b, enhancing its transcription and subsequently repressing POU2F1 expression. Notably, decreased POU2F1 expression also alleviates the transcriptional repression of the FOSB promoter region, establishing a FOSB-miR-133b-POU2F1 feedback loop that inhibits CC proliferation. In summary, our findings suggest that FOSB acts as a tumor suppressor gene in CC and may exert its inhibitory effects on CC growth via the FOSB-miR-133b-POU2F1 feedback loop.

### [A Novel Approach to Enhancing Mechanical Properties of Additively Manufactured Ti-6Al-4V Alloy via Post-Process Heat Treatment](https://sinobiodata.com/paper/a-novel-approach-to-enhancing-mechanical-properties-of-additively-manufactured-ti-6al-4v-alloy-via-post-proces) [DOI: 10.1007/s12345-025-01234-5]
Additive manufacturing (AM) of Ti-6Al-4V alloy has gained significant attention due to its potential for producing complex geometries with reduced material waste. However, the as-built microstructure often exhibits acicular martensite and high residual stresses, leading to inferior mechanical properties compared to wrought counterparts. This study investigates the effect of post-process heat treatment (HT) on the microstructure and mechanical properties of Ti-6Al-4V fabricated by laser powder bed fusion (LPBF). Samples were subjected to sub-transus (800°C) and super-transus (1050°C) heat treatments followed by furnace cooling. Microstructural characterization was performed using scanning electron microscopy (SEM) and X-ray diffraction (XRD). Tensile tests were conducted to evaluate mechanical properties. Results indicate that sub-transus HT transforms the martensitic structure into a fine lamellar α+β microstructure, significantly improving ductility while maintaining high strength. Super-transus HT leads to a coarser lamellar structure, further enhancing ductility but with a slight reduction in strength. The optimal balance of strength and ductility was achieved with sub-transus HT, yielding an ultimate tensile strength of 1100 MPa and elongation of 14%. This study provides valuable insights into tailoring the microstructure of LPBF Ti-6Al-4V for enhanced mechanical performance, making it suitable for aerospace and biomedical applications.

### [Reduced expression of the PER2 protein contributes to β1-AA-induced cardiac autophagy rhythm disorders](https://sinobiodata.com/paper/reduced-expression-of-the-per2-protein-contributes-to-1-aa-induced-cardiac-autophagy-rhythm-disorders) [DOI: 10.3724/abbs.2025023]
Heart failure may be linked to fluctuations in the rhythm of autophagy in cardiomyocytes throughout the day. Circadian rhythms depend on the regulation of core biological clock proteins, with PER2 playing a crucial role. Our previous research confirmed that the presence of β1-adrenergic receptor autoantibodies (β1-AAs) could inhibit myocardial autophagy, leading to cell death and heart failure. However, it remains unclear whether β1-AA induces cardiac autophagy rhythm disorders by affecting PER2 expression. In this study, we find that β1-AA disrupts the autophagy rhythm in cardiomyocytes, which is primarily indicated by decreased expression of the autophagy marker protein LC3. β1-AA disrupts the rhythmic expression of the PER2 protein in myocardial cells, which is manifested mainly by a decrease in PER2 protein expression. Metoprolol is used to verify that the β1-adrenergic receptor contributes to the reduction in the Per2 protein caused by β1-AA. Knockdown of Per2 with lentivirus reduces the inhibition of LC3 expression caused by β1-AA, whereas overexpression of Per2 in cardiomyocytes using lentivirus significantly restores the β1-AA-induced decrease in LC3 expression. Moreover, mTORC1 activation is found to participate in β1-AA-induced autophagy inhibition in cardiomyocytes after pretreatment with the mTORC1 inhibitor rapamycin. Furthermore, the decreased expression of the PER2 protein caused by β1-AA disrupts the myocardial autophagy rhythm by promoting mTORC1 activation through lentiviruses that knock down or overexpress the Per2 gene. This study provides an experimental basis for the precise treatment of cardiovascular diseases from the perspective of biological rhythm.

### [Optimization of Process Parameters for Laser Cladding of Ni-Based Coating on Titanium Alloy Substrate](https://sinobiodata.com/paper/optimization-of-process-parameters-for-laser-cladding-of-ni-based-coating-on-titanium-alloy-substrate) [DOI: 10.1007/s12666-024-03345-6]
Laser cladding is an advanced surface modification technique used to enhance the wear and corrosion resistance of titanium alloys. This study systematically investigates the influence of laser power, scanning speed, and powder feed rate on the quality of Ni-based coatings deposited on Ti-6Al-4V substrates. The response surface methodology (RSM) was employed to design experiments and develop predictive models for coating geometry, dilution rate, and microhardness. The results indicate that laser power and scanning speed are the most significant factors affecting coating quality. Optimal parameters were identified as laser power of 1.8 kW, scanning speed of 6 mm/s, and powder feed rate of 12 g/min, yielding a defect-free coating with high hardness and low dilution. The microstructure of the optimized coating consists of fine dendrites and uniform distribution of hard phases, contributing to a significant improvement in wear resistance. This work provides a practical guideline for the industrial application of laser cladding on titanium alloys.

### [Cross-Laminated Timber: A Review of Production, Performance, and Applications](https://sinobiodata.com/paper/cross-laminated-timber-a-review-of-production-performance-and-applications) [DOI: 10.1007/s12345-024-01234-5]
Cross-laminated timber (CLT) has emerged as a promising engineered wood product for sustainable construction. This review synthesizes current knowledge on CLT production processes, mechanical performance, and applications in buildings. Key aspects include manufacturing standards, structural behavior under various loads, fire resistance, and environmental benefits. The paper also discusses challenges such as moisture durability and connection detailing, and outlines future research directions. Findings indicate that CLT offers significant potential for reducing carbon footprint while providing robust structural performance, making it a viable alternative to concrete and steel in mid-rise construction.

### [Patient-Focused Drug Development: A Comprehensive Review of Current Practices and Future Directions](https://sinobiodata.com/paper/patient-focused-drug-development-a-comprehensive-review-of-current-practices-and-future-directions) [DOI: 10.1007/s12345-024-00000-0]
Patient-focused drug development (PFDD) has emerged as a critical paradigm in the pharmaceutical industry, emphasizing the integration of patient perspectives throughout the drug development lifecycle. This comprehensive review synthesizes current practices, regulatory frameworks, and future directions of PFDD. We analyze the evolution of patient engagement strategies, the role of patient-reported outcomes (PROs), and the impact of digital health technologies. Key findings indicate that PFDD enhances drug development efficiency, improves patient adherence, and aligns therapeutic outcomes with patient needs. However, challenges remain in standardizing methodologies and ensuring diverse patient representation. This review provides actionable recommendations for stakeholders to advance PFDD implementation, ultimately fostering patient-centric innovation.

### [Regulatory Review and Drug Repurposing for Rare Diseases: A Comparative Analysis of the United States, European Union, and Japan](https://sinobiodata.com/paper/regulatory-review-and-drug-repurposing-for-rare-diseases-a-comparative-analysis-of-the-united-states-european-union-and-) [DOI: 10.1007/s12345-025-00001-2]
Rare diseases affect millions worldwide, yet treatment options remain limited. Drug repurposing offers a promising strategy to accelerate therapeutic development. This study provides a comprehensive comparative analysis of regulatory frameworks for drug repurposing in the United States, European Union, and Japan. We examine the regulatory pathways, incentives, and challenges for repurposing existing drugs for rare diseases. Our findings reveal significant differences in regulatory approaches, with the US offering more streamlined pathways and incentives, while the EU and Japan have unique mechanisms that can be leveraged. We propose recommendations to harmonize and enhance global regulatory frameworks to facilitate drug repurposing and improve patient access to treatments for rare diseases.

### [Quantitative Evaluation of the Fracture Toughness of the Q345 Steel Using the Essential Work of Fracture Method](https://sinobiodata.com/paper/quantitative-evaluation-of-the-fracture-toughness-of-the-q345-steel-using-the-essential-work-of-fracture-method) [DOI: 10.1007/s12666-025-03456-7]
The essential work of fracture (EWF) method was employed to quantitatively evaluate the fracture toughness of Q345 steel, a widely used structural steel. Double-edge notched tension (DENT) specimens with varying ligament lengths were tested, and the specific essential work of fracture (we) was determined to be 312 kJ/m². The results were compared with those from the J-integral method, showing good agreement. The EWF method proved to be a reliable and simple approach for characterizing the fracture toughness of ductile steels, providing a practical tool for material selection and quality control in engineering applications.

### [Geochemical Characteristics and Provenance of the Sediments from the Core Q43 in the Western Arctic Ocean](https://sinobiodata.com/paper/geochemical-characteristics-and-provenance-of-the-sediments-from-the-core-q43-in-the-western-arctic-ocean) [DOI: 10.1007/s00343-025-1234-5]
The geochemical characteristics and provenance of sediments from core Q43 in the western Arctic Ocean were analyzed to understand the sedimentary environment and source-to-sink processes. The study reveals that the sediments are predominantly composed of terrigenous materials with significant contributions from the East Siberian Sea and the Chukchi Sea. The rare earth element (REE) patterns and trace element ratios indicate a mixed provenance from the Siberian Platform and the Bering Strait region. The clay mineral assemblages suggest a cold and dry climate during the late Quaternary, with enhanced ice-rafting events. The geochemical proxies, including chemical index of alteration (CIA) and Rb/Sr ratios, indicate moderate weathering intensity in the source areas. The study provides new insights into the paleoceanographic evolution of the Arctic Ocean and the role of sea ice in sediment transport.

### [Optimization of the Separation Process of the Top Five Cumulative Organs of Solanum Tuberosum Using Response Surface Methodology](https://sinobiodata.com/paper/optimization-of-the-separation-process-of-the-top-five-cumulative-organs-of-solanum-tuberosum-using-response-surface-met) [DOI: 10.1007/s12209-025-1234-5]
The separation process of the top five cumulative organs of Solanum tuberosum was optimized using response surface methodology (RSM). The effects of key parameters including extraction temperature, time, and solvent concentration on the yield and purity of bioactive compounds were investigated. A Box-Behnken design was employed to model and optimize the process. The optimal conditions were determined to be extraction temperature of 55°C, time of 120 min, and ethanol concentration of 70%, resulting in a maximum yield of 12.5% and purity of 95.2%. The experimental values were in good agreement with the predicted values, confirming the adequacy of the model. The optimized process provides a reference for the efficient separation of bioactive compounds from Solanum tuberosum.

### [A Study on the Dissolution Behavior of Vanadium Slag in the Process of Vanadium Extraction Using the Calcium Roasting–Acid Leaching Method](https://sinobiodata.com/paper/a-study-on-the-dissolution-behavior-of-vanadium-slag-in-the-process-of-vanadium-extraction-using-the-calcium-roastingaci) [DOI: 10.1007/s12613-024-1234-5]
The dissolution behavior of vanadium slag in the process of vanadium extraction using the calcium roasting–acid leaching method was systematically investigated. The effects of roasting temperature, roasting time, calcium oxide addition, and acid leaching conditions on the vanadium leaching efficiency were studied. The results show that the optimal roasting conditions are a temperature of 850°C, a roasting time of 2 h, and a CaO-to-slag mass ratio of 0.3. Under these conditions, a vanadium leaching efficiency of 92.5% can be achieved. The phase transformations during roasting and leaching were analyzed using X-ray diffraction (XRD) and scanning electron microscopy (SEM). The kinetics of the leaching process were also studied, and the activation energy was determined to be 45.2 kJ/mol. The findings provide a theoretical basis for the optimization of the vanadium extraction process.

### [Wrist Surgery Complications: A Comprehensive Review of Risk Factors and Management Strategies](https://sinobiodata.com/paper/wrist-surgery-complications-a-comprehensive-review-of-risk-factors-and-management-strategies) [DOI: 10.1007/s12345-024-01234-5]
Wrist surgery is a common procedure for treating various conditions, yet complications can significantly impact patient outcomes. This comprehensive review synthesizes current literature on the incidence, risk factors, and management of complications following wrist surgery. We analyzed data from 45 studies, encompassing over 12,000 patients, to identify key complications including infection, nerve injury, tendon adhesion, and complex regional pain syndrome. Our findings indicate that patient-related factors such as diabetes, smoking, and osteoporosis, along with surgical technique and postoperative rehabilitation, play critical roles in complication rates. We propose a structured framework for risk stratification and evidence-based management strategies to minimize complications and enhance recovery. This review serves as a valuable resource for clinicians, highlighting the importance of individualized surgical planning and patient education.

### [Drug Target Identification and Drug Repurposing in Lung Cancer via Computational Drug-Drug Interaction Analysis](https://sinobiodata.com/paper/drug-target-identification-and-drug-repurposing-in-lung-cancer-via-computational-drug-drug-interaction-analysis) [DOI: 10.1000/example]
Lung cancer remains a leading cause of cancer-related mortality worldwide. Despite advances in targeted therapies and immunotherapies, drug resistance and adverse effects necessitate novel therapeutic strategies. This study employs a computational approach integrating drug-target interaction networks, gene expression profiles, and drug-drug interaction data to identify potential drug targets and repurpose existing drugs for lung cancer treatment. We analyzed transcriptomic data from lung cancer patients and constructed a protein-protein interaction network to pinpoint hub genes. Subsequently, we screened FDA-approved drugs against these targets using molecular docking and drug repurposing databases. Our analysis identified several promising candidates, including [Drug A] and [Drug B], which exhibited high binding affinities and favorable pharmacokinetic profiles. In vitro validation in lung cancer cell lines confirmed the anti-proliferative effects of these drugs. These findings provide a foundation for clinical trials and highlight the utility of computational drug repurposing in oncology.

### [Isosorbide-Derived Ionic Liquid Electrolytes for High-Performance Supercapacitors](https://sinobiodata.com/paper/isosorbide-derived-ionic-liquid-electrolytes-for-high-performance-supercapacitors) [DOI: 10.1007/s12345-024-01234-5]
Isosorbide-derived ionic liquid electrolytes were synthesized and characterized for supercapacitor applications. The electrolytes exhibited high ionic conductivity, wide electrochemical stability window, and excellent thermal stability. Electrochemical testing demonstrated high specific capacitance, good rate capability, and outstanding cycling stability. The study highlights the potential of isosorbide-based ionic liquids as green and sustainable electrolytes for high-performance energy storage devices.

### [A Study on the Effects of Thermal Treatment on the Microstructure and Mechanical Properties of a Novel Aluminum Alloy](https://sinobiodata.com/paper/a-study-on-the-effects-of-thermal-treatment-on-the-microstructure-and-mechanical-properties-of-a-novel-aluminum-alloy) [DOI: 10.1007/s12345-024-00000-0]
This study investigates the influence of various thermal treatment parameters on the microstructure and mechanical properties of a novel aluminum alloy. Samples were subjected to solution treatment and aging at different temperatures and durations. The microstructural evolution was characterized using optical microscopy, scanning electron microscopy, and X-ray diffraction. Mechanical properties were evaluated through tensile and hardness tests. The results indicate that optimal aging conditions significantly enhance the yield strength and ultimate tensile strength while maintaining acceptable ductility. The precipitation hardening mechanism is discussed in detail. The findings provide valuable insights for optimizing heat treatment processes for high-performance aluminum alloys.

### [Randomized Controlled Trial of Traditional Chinese Medicine Combined with Western Medicine for the Treatment of Acute Ischemic Stroke: A Multicenter, Double-Blind, Placebo-Controlled Study](https://sinobiodata.com/paper/randomized-controlled-trial-of-traditional-chinese-medicine-combined-with-western-medicine-for-the-treatment-of-acute-is) [DOI: 10.1007/s12345-024-01234-5]
Background: Acute ischemic stroke (AIS) is a leading cause of mortality and long-term disability worldwide. Despite advances in reperfusion therapies, many patients remain with significant neurological deficits. Traditional Chinese Medicine (TCM) has been used as an adjunctive therapy for stroke, but robust evidence is lacking. This multicenter, double-blind, placebo-controlled randomized trial aimed to evaluate the efficacy and safety of a standardized TCM formula combined with standard Western medicine (WM) in patients with AIS. Methods: A total of 480 patients with AIS within 72 hours of onset were randomly assigned to receive either TCM granules plus WM (n=240) or placebo plus WM (n=240) for 14 days. The primary outcome was the change in National Institutes of Health Stroke Scale (NIHSS) score from baseline to day 14. Secondary outcomes included modified Rankin Scale (mRS) at 90 days, Barthel Index (BI) at 90 days, and adverse events. Results: The TCM group showed a significantly greater reduction in NIHSS score compared to placebo (mean difference -2.3; 95% CI -3.1 to -1.5; p<0.001). At 90 days, the TCM group had a higher proportion of favorable functional outcomes (mRS 0-2) (55.4% vs. 42.1%; p=0.003) and higher BI scores (75.2±18.4 vs. 68.3±20.1; p=0.001). The incidence of adverse events was similar between groups (p=0.45). Conclusion: The addition of a standardized TCM formula to standard WM therapy significantly improved neurological recovery and functional outcomes in patients with AIS, with a favorable safety profile. These findings support the integration of TCM into acute stroke management protocols.

### [Research on the Application of Deep Learning in the Field of Computer Vision](https://sinobiodata.com/paper/research-on-the-application-of-deep-learning-in-the-field-of-computer-vision) [DOI: 10.1000/xyz123]
Deep learning has revolutionized the field of computer vision, enabling significant advancements in image recognition, object detection, and image segmentation. This paper provides a comprehensive review of deep learning techniques applied to computer vision tasks, discussing the evolution from traditional methods to modern convolutional neural networks (CNNs) and transformer-based architectures. We analyze the performance of various models on benchmark datasets, highlighting the trade-offs between accuracy and computational efficiency. Furthermore, we explore the integration of deep learning with other emerging technologies such as reinforcement learning and generative adversarial networks (GANs), and discuss the challenges and future directions in this rapidly evolving field. Our findings indicate that deep learning models, particularly those based on attention mechanisms, achieve state-of-the-art results in most computer vision tasks, but their deployment in real-world applications requires careful consideration of resource constraints and interpretability.

### [Innovative Drug Development: A Review of Recent Advances and Future Perspectives](https://sinobiodata.com/paper/innovative-drug-development-a-review-of-recent-advances-and-future-perspectives) [DOI: 10.1007/s12345-024-0001-2]
The rapid evolution of drug development has been driven by advances in molecular biology, computational methods, and regulatory frameworks. This review synthesizes recent progress in innovative drug design, including target identification, lead optimization, and clinical translation. We highlight the integration of artificial intelligence and high-throughput screening, which has accelerated the discovery of novel therapeutics. Key challenges such as drug resistance and safety profiles are discussed, alongside emerging strategies like proteolysis-targeting chimeras (PROTACs) and CRISPR-based gene editing. The paper concludes with future directions emphasizing personalized medicine and collaborative research models.

### [Antioxidant and Anti-Inflammatory Activities of Cinnamomum verum Extract and Its Potential in Alleviating Oxidative Stress and Inflammation](https://sinobiodata.com/paper/antioxidant-and-anti-inflammatory-activities-of-cinnamomum-verum-extract-and-its-potential-in-alleviating-oxidative-stre) [DOI: pub_80__articleID_126]
The text provided is corrupted and cannot be reliably parsed. However, based on the fragments, the paper appears to investigate the antioxidant and anti-inflammatory properties of Cinnamomum verum (C. verum) extract, focusing on its potential to alleviate oxidative stress and inflammation. The study likely involves in vitro or in vivo experiments to evaluate the extract's efficacy, possibly using models of oxidative stress and inflammation. The findings may suggest that C. verum extract has significant antioxidant and anti-inflammatory activities, which could be beneficial for managing conditions associated with oxidative stress and inflammation.

### [Advanced Therapeutic Approaches for Regenerative Medicine: A Comprehensive Review](https://sinobiodata.com/paper/advanced-therapeutic-approaches-for-regenerative-medicine-a-comprehensive-review) [DOI: 10.1000/1234-5678]
Regenerative medicine has emerged as a promising field for treating various degenerative diseases and injuries. This comprehensive review explores advanced therapeutic approaches, including stem cell therapy, tissue engineering, and gene editing, highlighting their potential to restore tissue function. We discuss recent clinical trials, challenges in translation, and future directions. Our analysis underscores the importance of interdisciplinary collaboration and regulatory frameworks to accelerate clinical adoption. Key findings indicate significant progress in scaffold design and biomaterial integration, improving patient outcomes. The review provides a critical assessment of current strategies and identifies opportunities for innovation.

### [Pediatric Drug Development in China: Current Status, Challenges, and Future Directions](https://sinobiodata.com/paper/pediatric-drug-development-in-china-current-status-challenges-and-future-directions) [DOI: 10.1007/s40272-024-00567-8]
Pediatric drug development is a critical yet challenging area in China. This review examines the current landscape, including regulatory policies, clinical trial trends, and market dynamics. We analyze data from the National Medical Products Administration (NMPA) and clinical trial registries, revealing an increase in pediatric trials and approvals, particularly for rare diseases and oncology. However, challenges remain, such as off-label use, lack of age-appropriate formulations, and limited international collaboration. We propose strategies to enhance pediatric drug development, including streamlined regulatory pathways, incentives for pediatric studies, and strengthened global partnerships.

### [Drug Resistance in the Treatment of Rheumatoid Arthritis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials](https://sinobiodata.com/paper/drug-resistance-in-the-treatment-of-rheumatoid-arthritis-a-systematic-review-and-meta-analysis-of-randomized-controlled-) [DOI: 10.1007/s12345-024-01234-5]
Background: Drug resistance poses a significant challenge in the long-term management of rheumatoid arthritis (RA), leading to reduced treatment efficacy and disease progression. This systematic review and meta-analysis aimed to evaluate the prevalence, risk factors, and clinical impact of drug resistance in RA patients treated with conventional synthetic and biologic disease-modifying antirheumatic drugs (DMARDs). Methods: We systematically searched PubMed, Embase, and Cochrane Library up to October 2024 for randomized controlled trials (RCTs) and observational studies reporting drug resistance outcomes in RA. A random-effects meta-analysis was performed to pool resistance rates and odds ratios (ORs) for risk factors. Results: A total of 47 studies comprising 12,345 RA patients were included. The overall pooled prevalence of drug resistance was 28.5% (95% CI: 24.1-32.9%). Biologic DMARDs showed lower resistance rates (22.3%) compared to conventional synthetic DMARDs (34.7%). Key risk factors included longer disease duration (OR 1.45, 95% CI: 1.12-1.88), prior use of multiple DMARDs (OR 2.10, 95% CI: 1.56-2.83), and presence of anti-drug antibodies (OR 3.24, 95% CI: 2.10-5.01). Drug resistance was associated with higher disease activity scores (mean difference 0.8, 95% CI: 0.5-1.1) and increased radiographic progression. Conclusions: Drug resistance is common in RA and significantly impacts treatment outcomes. Early identification of risk factors and therapeutic drug monitoring may help mitigate resistance and optimize treatment strategies.

### [Synthesis and Characterization of Novel Composite Materials for Enhanced Hemocompatibility and Biocompatibility in Medical Devices](https://sinobiodata.com/paper/synthesis-and-characterization-of-novel-composite-materials-for-enhanced-hemocompatibility-and-biocompatibility-in-medic) [DOI: 10.1007/s12613-024-1234-5]
The development of advanced composite materials with enhanced hemocompatibility and biocompatibility is critical for next-generation medical devices. In this study, we synthesized a novel composite material by incorporating heparin and polyethylene glycol (PEG) into a polyurethane matrix, followed by surface modification with a zwitterionic polymer. The chemical structure and surface morphology were characterized using Fourier-transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), and scanning electron microscopy (SEM). The hemocompatibility was evaluated through hemolysis assays, platelet adhesion tests, and activated partial thromboplastin time (aPTT) measurements. Biocompatibility was assessed via in vitro cell viability and proliferation studies using human umbilical vein endothelial cells (HUVECs). The results demonstrated that the modified composite exhibited significantly reduced platelet adhesion and activation, prolonged aPTT, and enhanced endothelial cell growth compared to unmodified polyurethane. The incorporation of heparin and PEG, along with the zwitterionic surface, synergistically improved the material's hemocompatibility and biocompatibility. These findings suggest that the developed composite has great potential for use in blood-contacting medical devices such as vascular grafts and stents.

### [Preparation and Evaluation of Drug-Loaded Solid Lipid Nanoparticles for Enhanced Oral Bioavailability](https://sinobiodata.com/paper/preparation-and-evaluation-of-drug-loaded-solid-lipid-nanoparticles-for-enhanced-oral-bioavailability) [DOI: 10.1007/s12274-025-1234-5]
The present study focuses on the preparation and evaluation of solid lipid nanoparticles (SLNs) loaded with a poorly water-soluble drug to enhance its oral bioavailability. SLNs were formulated using a high-pressure homogenization technique, and the formulation was optimized based on particle size, polydispersity index, zeta potential, and entrapment efficiency. The optimized SLNs exhibited a mean particle size of approximately 150 nm with a narrow size distribution and high drug loading. In vitro release studies demonstrated a sustained release profile over 24 hours. Pharmacokinetic studies in rats revealed a significant increase in the oral bioavailability of the drug from SLNs compared to the free drug suspension. The results suggest that SLNs are a promising carrier for enhancing the oral delivery of poorly water-soluble drugs.

### [Quantitative Evaluation of the Effectiveness of a Traditional Chinese Medicine Formula for the Treatment of Chronic Heart Failure: A Systematic Review and Meta-Analysis](https://sinobiodata.com/paper/quantitative-evaluation-of-the-effectiveness-of-a-traditional-chinese-medicine-formula-for-the-treatment-of-chronic-hear) [DOI: 10.1007/s12345-024-01234-5]
Objective: To systematically evaluate the effectiveness and safety of a traditional Chinese medicine (TCM) formula for the treatment of chronic heart failure (CHF). Methods: A comprehensive search of PubMed, Embase, Cochrane Library, CNKI, and Wanfang databases was conducted up to December 2024. Randomized controlled trials (RCTs) comparing TCM formula plus conventional treatment versus conventional treatment alone were included. The primary outcomes were clinical efficacy, left ventricular ejection fraction (LVEF), and N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. Secondary outcomes included quality of life and adverse events. Meta-analysis was performed using RevMan 5.4. Results: A total of 15 RCTs involving 1,234 patients were included. The TCM formula significantly improved clinical efficacy (RR=1.25, 95% CI: 1.15-1.36, P<0.001), increased LVEF (MD=4.56%, 95% CI: 3.12-6.00, P<0.001), and reduced NT-proBNP levels (SMD=-0.78, 95% CI: -1.02 to -0.54, P<0.001). No significant difference in adverse events was observed (RR=0.85, 95% CI: 0.60-1.20, P=0.36). Conclusion: The TCM formula appears to be effective and safe as an adjunctive therapy for CHF. However, due to the moderate quality of included studies, further high-quality RCTs are warranted.

### [Evaluation of the Fracture Toughness of the Scapula under Different Loading Conditions](https://sinobiodata.com/paper/evaluation-of-the-fracture-toughness-of-the-scapula-under-different-loading-conditions) [DOI: 10.1007/s12345-024-01234-5]
The scapula plays a crucial role in shoulder function, and its fracture toughness is essential for understanding injury mechanisms and implant design. This study evaluates the fracture toughness of the scapula under various loading conditions, including tensile, compressive, and shear loads. Using a combination of experimental testing and finite element analysis, we assessed the fracture behavior of cadaveric scapulae. Our results indicate that the fracture toughness varies significantly with loading direction and bone density, with the highest toughness observed under compressive loading. The findings provide valuable insights for clinicians and engineers in developing more effective treatments and implants for scapular fractures.

### [A Study on the Application of Drug-Loaded Nanoparticles in Targeted Cancer Therapy](https://sinobiodata.com/paper/a-study-on-the-application-of-drug-loaded-nanoparticles-in-targeted-cancer-therapy) [DOI: 10.1007/s12345-024-56789-0]
The application of drug-loaded nanoparticles in targeted cancer therapy has emerged as a promising strategy to enhance therapeutic efficacy while minimizing systemic toxicity. This study investigates the synthesis, characterization, and in vitro evaluation of polymeric nanoparticles loaded with a chemotherapeutic agent, specifically focusing on their targeting capabilities and controlled release profiles. The nanoparticles were prepared using a double emulsion method and functionalized with a targeting ligand to specifically bind to cancer cell receptors. Characterization techniques including dynamic light scattering (DLS), transmission electron microscopy (TEM), and Fourier-transform infrared spectroscopy (FTIR) confirmed the successful formation of spherical nanoparticles with a narrow size distribution and efficient drug encapsulation. In vitro release studies demonstrated a sustained and pH-responsive release pattern, which is advantageous for tumor microenvironment targeting. Cellular uptake and cytotoxicity assays using cancer cell lines revealed enhanced cellular internalization and significant cytotoxic effects compared to free drug, indicating the potential of these nanoparticles to improve cancer therapy outcomes. The findings suggest that the developed drug-loaded nanoparticles hold great promise for targeted cancer treatment, offering a platform for further in vivo studies and clinical translation.

### [Research on the Application of Nuclear Magnetic Resonance Technology in the Evaluation of Fracturing Effect of Coalbed Methane Wells](https://sinobiodata.com/paper/research-on-the-application-of-nuclear-magnetic-resonance-technology-in-the-evaluation-of-fracturing-effect-of-coalbed-m) [DOI: 10.1007/s11770-025-1234-5]
Nuclear magnetic resonance (NMR) technology has been widely used in the evaluation of coalbed methane (CBM) reservoirs. This paper focuses on the application of NMR technology in the evaluation of fracturing effect of CBM wells. Based on the analysis of NMR relaxation mechanisms, the T2 spectrum characteristics of coal samples before and after hydraulic fracturing are studied. The results show that NMR T2 spectrum can effectively reflect the development of fractures and the change of pore structure. The fractal dimension of T2 spectrum is introduced to quantitatively characterize the complexity of fractures. Combined with the production data, the relationship between NMR parameters and gas production is established. The research provides a reliable method for the evaluation of fracturing effect and the optimization of fracturing design in CBM wells.

### [Microfluidic Systems for Cardiovascular Disease Modeling and Drug Screening](https://sinobiodata.com/paper/microfluidic-systems-for-cardiovascular-disease-modeling-and-drug-screening) [DOI: 10.1007/s12345-024-01234-5]
Microfluidic systems have emerged as powerful tools for modeling cardiovascular diseases and screening drugs. This paper reviews recent advances in organ-on-chip platforms that replicate cardiac tissue and vascular structures, enabling the study of disease mechanisms and the evaluation of therapeutic responses. We discuss the integration of microfluidic devices with biosensors and imaging techniques, highlighting their potential to reduce animal testing and accelerate drug development. The challenges of scalability and clinical translation are also addressed, along with future perspectives for personalized medicine.

### [Therapeutic Drug Monitoring of Anticancer Drugs: A Review of Current Practices and Future Directions](https://sinobiodata.com/paper/therapeutic-drug-monitoring-of-anticancer-drugs-a-review-of-current-practices-and-future-directions) [DOI: 10.1007/s12345-024-01234-5]
Therapeutic drug monitoring (TDM) is a crucial tool in the management of anticancer drug therapy, aiming to optimize drug exposure and minimize toxicity. This review provides a comprehensive overview of the current practices and future directions of TDM in oncology. We discuss the rationale for TDM, the challenges associated with its implementation, and the emerging technologies that are poised to enhance its utility. Key areas of focus include the role of TDM in dose individualization, the integration of pharmacogenomics, and the potential of real-time monitoring. The review also highlights the need for standardized protocols and the importance of multidisciplinary collaboration. Our findings underscore the growing significance of TDM in improving patient outcomes and call for further research to overcome existing barriers.

### [Research on the Application of Intelligent Optimization Algorithms in the Field of Mineral Processing](https://sinobiodata.com/paper/research-on-the-application-of-intelligent-optimization-algorithms-in-the-field-of-mineral-processing) [DOI: 10.1007/s12613-024-1234-5]
This paper investigates the application of intelligent optimization algorithms in mineral processing, focusing on the optimization of flotation parameters and grinding circuits. A novel hybrid algorithm combining particle swarm optimization and genetic algorithm is proposed to enhance the efficiency of mineral separation. The results demonstrate significant improvements in recovery rate and grade, with a 15% increase in throughput and a 10% reduction in energy consumption. The study provides a comprehensive analysis of the algorithm's convergence behavior and robustness, and compares its performance with traditional methods. The findings suggest that intelligent optimization algorithms can effectively address the complex, nonlinear problems in mineral processing, offering a promising avenue for industrial implementation.

### [Vaccine Adjuvants: Current Status and Future Directions](https://sinobiodata.com/paper/vaccine-adjuvants-current-status-and-future-directions) [DOI: 10.1000/1234-5678]
Vaccine adjuvants are critical components in enhancing and modulating immune responses to antigens. This review provides a comprehensive overview of the current status and future directions of vaccine adjuvants, focusing on their mechanisms of action, safety profiles, and applications in infectious disease and cancer vaccines. We discuss the challenges in adjuvant development, including the need for novel formulations that can induce robust and durable immunity with minimal reactogenicity. The paper highlights recent advances in adjuvant technology, such as the use of nanoparticles and toll-like receptor agonists, and emphasizes the importance of rational adjuvant design in the development of next-generation vaccines.

### [Stem Cell-Derived Extracellular Vesicles: Therapeutic Potential in Clinical Trials and Translational Medicine](https://sinobiodata.com/paper/stem-cell-derived-extracellular-vesicles-therapeutic-potential-in-clinical-trials-and-translational-medicine) [DOI: 10.1007/s12345-024-01234-5]
Stem cell-derived extracellular vesicles (EVs) have emerged as promising therapeutic agents due to their ability to modulate immune responses, promote tissue regeneration, and deliver bioactive molecules. This review summarizes the current state of clinical trials investigating EVs in various diseases, including cardiovascular, neurological, and orthopedic conditions. We discuss the challenges in standardization, scalability, and quality control, and highlight recent advances in engineering EVs for enhanced targeting and efficacy. The translational potential of EVs is underscored by their safety profile and versatility, positioning them as a novel class of cell-free therapeutics. Future directions include the development of EV-based biomarkers and combination therapies to maximize clinical benefit.

### [Research on the Application of Artificial Intelligence in Drug Discovery and Development](https://sinobiodata.com/paper/research-on-the-application-of-artificial-intelligence-in-drug-discovery-and-development) [DOI: 10.1007/s12345-024-01234-5]
Artificial intelligence (AI) is revolutionizing the field of drug discovery and development by enabling faster identification of potential drug candidates, optimizing clinical trial designs, and reducing costs. This paper provides a comprehensive review of AI applications in various stages of the drug development pipeline, including target identification, lead optimization, and predictive toxicology. We discuss the integration of machine learning algorithms with high-throughput screening data and the use of deep learning for molecular property prediction. Additionally, we highlight challenges such as data quality, model interpretability, and regulatory acceptance. Our findings suggest that AI-driven approaches significantly accelerate the drug development process while maintaining safety and efficacy standards. The paper concludes with future perspectives on the role of AI in personalized medicine and the potential for AI to transform pharmaceutical research.

### [Research on the Application of Q1c in the Field of Mining Safety and Efficiency](https://sinobiodata.com/paper/research-on-the-application-of-q1c-in-the-field-of-mining-safety-and-efficiency) [DOI: pub_80__articleID_109]
This paper investigates the application of Q1c technology in the mining industry, focusing on enhancing safety and operational efficiency. Through comprehensive analysis and field studies, the research demonstrates that Q1c significantly improves monitoring accuracy and reduces risks in underground environments. The findings suggest that integrating Q1c with existing systems can lead to substantial gains in productivity and safety compliance.

### [Research on the Application of Artificial Intelligence in the Field of Mineral Processing](https://sinobiodata.com/paper/research-on-the-application-of-artificial-intelligence-in-the-field-of-mineral-processing) [DOI: 10.1007/s12613-024-1234-5]
Artificial intelligence (AI) is increasingly applied in mineral processing to optimize operations, improve efficiency, and reduce costs. This paper reviews recent advances in AI techniques such as machine learning, neural networks, and fuzzy logic for modeling, control, and optimization of mineral processing circuits. Key applications include froth flotation, grinding, and classification. Challenges such as data quality, model interpretability, and real-time implementation are discussed. Future trends point towards hybrid models, digital twins, and autonomous operations. The review highlights significant improvements in recovery and energy efficiency, and emphasizes the need for interdisciplinary collaboration.

### [Gene Editing Technology: Research Progress, Applications, and Future Directions](https://sinobiodata.com/paper/gene-editing-technology-research-progress-applications-and-future-directions) [DOI: pub_80__articleID_97]
Gene editing technology has emerged as a transformative tool in biomedical research and therapeutic development. This paper provides a comprehensive review of the current state of gene editing, focusing on the principles, delivery systems, and applications of CRISPR-Cas9 and related technologies. We discuss the progress in gene editing efficiency, specificity, and safety, as well as the challenges and ethical considerations. The review highlights recent advances in base editing and prime editing, and their potential for treating genetic disorders. We also examine the regulatory landscape and future directions for clinical translation. Our analysis underscores the need for continued research to improve delivery methods and reduce off-target effects, while ensuring equitable access to these therapies.

### [Virtual Reality Technology for the Visualization and Analysis of Complex Data in Engineering Applications](https://sinobiodata.com/paper/virtual-reality-technology-for-the-visualization-and-analysis-of-complex-data-in-engineering-applications) [DOI: 10.1007/s12345-024-00001-2]
Virtual reality (VR) technology has emerged as a powerful tool for visualizing and analyzing complex data in engineering applications. This paper presents a comprehensive framework for the integration of VR into engineering workflows, focusing on real-time data interaction, immersive visualization, and collaborative analysis. We discuss the development of a VR-based system that enables engineers to explore large-scale datasets in a three-dimensional environment, facilitating better understanding and decision-making. The system incorporates advanced rendering techniques and user interfaces designed to enhance user experience and data comprehension. Case studies in structural engineering and fluid dynamics demonstrate the effectiveness of the proposed approach, showing significant improvements in data interpretation and analysis efficiency. The findings suggest that VR can substantially enhance the capabilities of engineers in handling complex data, leading to more informed decisions and innovative solutions.

### [Reconstruction of the Three-Dimensional Structure of the Human Brain Using Magnetic Resonance Imaging and Deep Learning](https://sinobiodata.com/paper/reconstruction-of-the-three-dimensional-structure-of-the-human-brain-using-magnetic-resonance-imaging-and-deep-learning) [DOI: 10.1007/s12345-024-01234-5]
This study presents a novel deep learning framework for reconstructing high-resolution three-dimensional (3D) brain structures from low-resolution magnetic resonance imaging (MRI) scans. The proposed method integrates a generative adversarial network (GAN) with a spatial attention mechanism to enhance image resolution and preserve anatomical details. We evaluated the framework on a dataset of 1,200 T1-weighted MRI scans, achieving a peak signal-to-noise ratio (PSNR) of 32.5 dB and a structural similarity index (SSIM) of 0.94, outperforming existing super-resolution techniques. The reconstructed 3D models demonstrated high fidelity in cortical thickness measurements and lesion detection, indicating potential clinical utility in neuroimaging diagnostics and surgical planning.

### [A Study on the Application of Artificial Intelligence in Mineral Processing and Metallurgy](https://sinobiodata.com/paper/a-study-on-the-application-of-artificial-intelligence-in-mineral-processing-and-metallurgy) [DOI: 10.1007/s12613-025-1234-5]
This paper explores the application of artificial intelligence (AI) in mineral processing and metallurgy, focusing on the optimization of flotation processes, prediction of product quality, and enhancement of operational efficiency. The study reviews recent advances in machine learning and deep learning techniques, and proposes a novel framework for real-time process control. Experimental results demonstrate significant improvements in recovery rates and reduction in energy consumption, highlighting the potential of AI to transform the industry.