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Women’s reports of violence before and during COVID-19 in Curitiba-PR, Brazil: an analysis of forensic reports
Published 2025-06-01“…Materials and methods This study used a retrospective cross-sectional design and secondary data analysis of cases of injuries caused by physical violence against women between 2019 and 2021 contained in Forensic Medical Institute reports. …”
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Analysis of the mechanism of transition to the limit state of Series 111 residential buildings during the 1988 Spitak earthquake
Published 2019-09-01“…Such design should not be used for seismic areas and must be critically revised. The retrospective analysis performed by the authors of this article on the basis of experimental data not only confirmed the conclusions of the State Commission, but also made it possible to establish a mechanism for the transition of Series 111 block-sections to the limit state. …”
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Rest Time Analysis Based on Operator's Workload Using a Physiological Measures at PT. Amanah Insanillahia
Published 2024-01-01Get full text
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Analysis of Fast Radix-10 Digit Recurrence Algorithms for Fixed-Point and Floating-Point Dividers on FPGAs
Published 2013-01-01Get full text
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Website Performance Evaluation by Grey Relational Analysis: A Research on Companies in BIST Technology and Informatics Index
Published 2023-06-01“…The performance evaluation criteria of the websites were determined based on the literature and expert opinion. The data of the websites were obtained from GTmetrix automated test tool and analysed by using the Grey Relational Analysis (GRA) method. …”
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Workers, Firms and Task Heterogeneity in International Trade Analysis: An Example of Wage Effects of Trade Within GVC
Published 2017-06-01“…Research Design & Methods: We estimate a Mincerian wage model augmented with a measure of foreign value added drawn from international input-output data. We employ econometric modeling with instrumental variable (addressing the endogeneity between trade and wages) and estimated through weighted regression with cluster-robust standard errors. …”
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Deep Learning for Video Fluoroscopic Swallowing Study Analysis: A Survey on Classification, Detection, and Segmentation Techniques
Published 2025-01-01“…Deep learning has significantly advanced the analysis of Video Fluoroscopic Swallowing Study data, an essential diagnostic tool for dysphagia assessment. …”
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Application of deep learning models in gastric cancer pathology image analysis: a systematic scoping review
Published 2025-08-01“…However, traditional histopathological image analysis relies on the subjective judgment of pathologists, which is time-consuming and prone to errors. …”
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Analysis of a balanced safety performance indicator as a key element of operational controlling in the ATS organization
Published 2024-07-01“…All calculations are based on real data of one of the major ATS organizations of the Russian Federation.…”
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A Comparative Analysis of Option Pricing Models Under Jump Dynamics, Skewness, and Non-Normal Kurtosis
Published 2025-12-01“…FindingsThis study incorporates the effects of skewness and excess kurtosis into various option pricing models. Our comparative analysis reveals that the Gram-Charlier model demonstrates superior pricing accuracy, exhibiting lower errors compared to both the Merton jump-diffusion model and Kou model under conditions of negative skewness and leptokurtic distributions. …”
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Improving resilience of energy nexus across demand sectors: Strengthening cybersecurity in water cycle and energy networks through data reconstruction using a novel hybrid reinforc...
Published 2025-09-01“…By utilizing cutting-edge computational intelligence methods and combining renewable energy solutions with in-depth data analysis, this study enhances environmental restoration initiatives and strengthens risk assessment approaches to address cyber threats in water resource management. …”
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Analysis of the mechanism of physical activity enhancing well-being among college students using artificial neural network
Published 2025-07-01“…The innovative advantages of the proposed model in capturing the nonlinear relationships and deep characteristics of psychological and behavioral data is proved. The analysis of Shapley Additive Explanations (SHAP) values reveals three key factors significantly influencing well-being improvement. …”
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