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2501
Safety of combined drug use in patients with cardiovascular and cerebrovascular diseases: an analysis based on the spontaneous reporting database of adverse drug reactions in Hubei...
Published 2025-01-01“…This study aimed to evaluate the safety of combination drugs for cardiovascular and cerebrovascular diseases using real-world data.MethodsWe analyzed adverse drug reaction data received by the Hubei Adverse Drug Reaction Center from the first quarter of 2014 to the fourth quarter of 2022. …”
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2502
Efficacy and safety of avacopan in antineutrophil cytoplasmic autoantibody-associated vasculitis: a retrospective cohort study in Japan
Published 2025-01-01“…Abstract Background Avacopan, an oral C5a receptor antagonist, demonstrated efficacy as an alternative to glucocorticoid therapy in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) in the phase 3 ADVOCATE trial. However, limited real-world data exist on the outcomes and experiences associated with avacopan use for AAV in Japan. …”
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2503
Exploring the use, perceptions, and challenges of mini-implants in orthodontic practice: a survey study
Published 2025-01-01“…By comparing documented literature with real-world practices, the study identifies both correlations and discrepancies, providing valuable insights into the practical application of mini-implants in orthodontic treatments.…”
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2504
A cluster randomized trial assessing the effect of a digital health algorithm on quality of care in Tanzania (DYNAMIC study).
Published 2024-12-01“…However, data from real-world randomized trials are lacking. We conducted a cluster randomized, open-label trial in Tanzania evaluating the use of a digital clinical decision support algorithm (CDSA), enhanced by point-of-care tests, training and mentorship, compared with usual care, among sick children 2 to 59 months old presenting to primary care facilities for an acute illness in Tanzania (ClinicalTrials.gov NCT05144763). …”
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2505
Advanced Detection of AI-Generated Images Through Vision Transformers
Published 2025-01-01“…This experiment highlights that when the ViT model is fine tuned with optimal data augmentation techniques, it gains state of the art performance in AI-generated image detection, emphasizing its potential for real-world applications.…”
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2506
Uptake and safety of Sotrovimab for prevention of severe COVID-19 in a cohort and self-controlled case series study
Published 2025-01-01“…Trials have shown it to have mild to moderate side effects, however, evidence regarding its safety in real-world settings remains insufficient. Methods Descriptive and multivariable logistic regression analyses were conducted to evaluate uptake, and a self-controlled case series analysis performed to measure the risk of hospital admission (hospitalisation) associated with 49 pre-specified suspected adverse outcomes in the period 2–28 days post-Sotrovimab treatment among eligible patients treated between December 11, 2021 and May 24, 2022. …”
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2507
Cardiovascular and Metabolic Adverse Events of Endocrine Therapies in Women with Breast Cancer: A Disproportionality Analysis of Reports in the FDA Adverse Event Reporting System
Published 2025-01-01“…Conclusion Our findings provide valuable evidence on common reactions as well as controversial cardiovascular and metabolic abnormalities associated with the real‐world use of ETs for breast cancer. Ongoing benefit–risk assessment and close monitoring of cardiac function during treatment, particularly in high‐risk women, are warranted to optimize cancer outcomes while minimizing cardiovascular injury.…”
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2508
Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data
Published 2025-01-01“…The proposed framework demonstrated superior performance compared to existing methodologies in the literature, addressing key gaps such as overfitting, data quality, and model explainability. Real-world deployment challenges, including diverse operating conditions and generalizability across machines, were also discussed, with recommendations for incorporating multi-sensor data and transfer learning approaches in future research. …”
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2509
Network and Dataset for Multiscale Remote Sensing Image Change Detection
Published 2025-01-01“…However, due to the significant variations in the size and appearance of objects in real-world scenes, existing RSCD algorithms often lack strong capabilities in extracting multiscale features, thereby failing to fully capture the characteristics of changes. …”
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2510
Optimal WSN Deployment to Measure Air Quality in Dynamic Multi-Source Dispersion Scenarios: A Case Study in Arequipa
Published 2025-01-01“…Finally, we present results from a case study conducted on the campus of the National University of San Agustín in Arequipa, Peru, demonstrating the practical application of our proposed methodology in real-world scenarios.…”
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2511
Prulifloxacin Effectiveness in Moderate-to-Severe Acute Exacerbations of Chronic Bronchitis: Α Noninterventional, Multicentre, Prospective Study in Real-Life Clinical Practice—The...
Published 2021-01-01“…Real-world evidence regarding the effectiveness of prulifloxacin in the treatment of acute exacerbations of chronic bronchitis (AECB) is limited. …”
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2512
Cumulative Risk Assessment Toolbox: Methods and Approaches for the Practitioner
Published 2013-01-01“…Although considerable progress has been made in the science underlying risk assessments for real-world exposures, implementation has lagged because many practitioners are unaware of methods and tools available to support these analyses. …”
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2513
Computational Study Protocol: Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data [version 2; peer review: 2...
Published 2025-01-01“…Background Synthetic data’s utility in benchmark studies depends on its ability to closely mimic real-world conditions and reproduce results obtained from experimental data. …”
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2514
Eliciting Emotions: Investigating the Use of Generative AI and Facial Muscle Activation in Children’s Emotional Recognition
Published 2025-01-01“…This approach offers new avenues for training and validating AI algorithms, enabling models to be trained with artificial and real-world data interchangeably. The integration of both datasets during training and validation phases enhances model performance and adaptability.…”
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2515
Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network
Published 2025-01-01“…To evaluate the performance of the approach, extensive experiments are conducted on a large‐scale real‐world healthcare dataset with adverse reports from the FDA Adverse Event Reporting System (FAERS). …”
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2516
Effectiveness of deliberate practices versus conventional lecture in trauma training for medical students
Published 2025-01-01“…The implication of these findings is that implementing deliberate practice in medical education can enhance the competencies of students, improve their preparedness for real-world clinical settings, and produce better patient outcomes. …”
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2517
CULTURAL REPRESENTATION IN THE PRACTICE OF ANDRAGOGY IN THE ACADEMIC
Published 2022-10-01“…Andragogy, as a learner-centered approach, emphasizes the unique needs of adult learners, including self-directed learning, the integration of prior experiences, and the relevance of education to real-world applications. Through a mixed-methods approach, this research evaluates the effectiveness of a professional development program designed to enhance lecturers' understanding and application of andragogical principles. …”
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2518
MORKO: A Multi-objective Runge–Kutta Optimizer for Multi-domain Optimization Problems
Published 2025-01-01“…The efficiency of MORKO is compared against renowned algorithms like the multi-objective marine predicator algorithm (MOMPA), multi-objective gradient-based optimizer (MOGBO), multi-objective evolutionary algorithm based on decomposition (MOEA/D), and non-dominated sorting genetic algorithm (NSGA-II) on several test benchmarks such as ZDT, DTLZ, constraint (CONSTR, TNK, SRN, BNH, OSY and KITA) and real-world engineering design (brushless DC wheel motor, safety isolating transformer, helical spring, two-bar truss, welded beam, disk brake, tool spindle and cantilever beam) problems. …”
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2519
Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma?
Published 2024-11-01“…Conclusion: Further research should focus on reproducibility, which is crucial for ensuring the non-randomness, generalizability, and real-world value of our findings. …”
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2520
Enhancing Power Grid Reliability With Machine Learning and Auxiliary Classifier Generative Adversarial Networks: A Study on Fault Detection Using the Georgia Electric System Load D...
Published 2025-01-01“…These results highlight the proposed framework’s potential for real-world implementation in modern power grids, offering enhanced fault prediction and resilience. …”
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