Modern Epidemic Situation of Parenteral Viral Hepatitis and Drug Addiction in the Russian Federation and Moscow by Yu. B. Novikova, A. A. Asratyan, E. V. Rusakova

“…To assess the significance of differences between the compared values, the statistical significance error (p) were calculated based on the calculation of Student's test (t). …”
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Preparation for Residency: Effect of Formalized Patient Handover Instruction for Fourth-Year Medical Students by Masooma Kazmi, Stacey Wong, Perrilynn Conklin, David Cohen, Andrew Wackett, Wei-Hsin Lu

“…A major aspect of transition of care is the patient handover, during which miscommunication can significantly cause medical error and harm in patient care. …”
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Research on velocity measurement and location method based on improved Kalman filter algorithm by Zhao Zhang, Jie Yang, Jusong Jiang

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Visual Positioning Detection of EMU Brake Pad Based on Deep Learning by GUAN Chunling, XU Yingjie, SONG Yuechao

“…［Objective］With the continuous development of the rail transit industry, its operation scale and safety requirements are constantly increasing. …”
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Method for calculating the surface tension of hydrocarbons by E. V. Rytova, B. A. Arutyunov

“…Parameters (temperature and surface tension) corresponding to minimum of free energy for the liquid – vapor phase transition were used as modification scales when constructing the generalized dependencies. …”
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Relationship between innovation, renewable energy, GDP, and environmental sustainability: The case of Germany by Vu Ngoc Xuan

“…GCT confirm a unidirectional causal link from INN to REC, while variance decomposition shows that INN and REC jointly explain over 40% of the forecast error variance in CO 2 emissions. These findings underscore the importance of sustained policy support for green INN and REC adoption. …”
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A Novel Approach to Parametric Studies in Nuclear Medicine by Pierce Ellingson, Jackson Penning, Zuzan Cayci, Farhad Jafari

“…Finding the rate constants (rates of transition) of radiopharmaceuticals between organs or different regions of interest (ROIs) in nuclear medicine quickly and accurately provides rich physiological data that is essential for determining drug dosages and performing precise radiation dosimetry. …”
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A long and winding road: making cannabis black markets legal by Jeremias Lachman, Andrés López, Sebastián Gómez-Roca

“…The objective of this paper is to show that even when the demand, the entrepreneurship and the technical knowledge needed to develop a cannabis industry were available, the creation of the institutional infrastructure required for guaranteeing a sound transition from black to legal markets has been a slow process of trial and error, which has curbed growth rates in this new industry. …”
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Temporal expression-based analysis of metabolism. by Sara B Collins, Ed Reznik, Daniel Segrè

“…Capturing the mechanisms underlying these metabolic transitions in quantitative and predictive models is a prominent challenge in systems biology. …”
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Numerical Model Updating and Validation of a Truss Railway Bridge considering Train-Track-Bridge Interaction Dynamics by Mohammad Sadegh Ayubirad, Shervan Ataei, Mosabreza Tajali

“…Comparatively, the acceleration time histories from the TTBI model, exhibiting a normalized mean absolute error (nMAE) of 36%, aligned more closely with actual measurements than those from the basic moving load model, which had a higher nMAE of 45%. …”
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SCALE EFFECT IN SEISMOTECTONICS by G. G. Kocharyan

“…It should be clarified whether such an effect is an artefact related to errors in seismic energy calculations or an actual physical effect that is still unexplained.…”
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Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis by Rohitkumar R. Upadhyay, Sahadeo Padhye

“…Moreover, we propose a technique for seamless transitions between different variants of FHE schemes without requiring decryption, enabling the utilization of their respective advantages. …”
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Research on adversarial attacks and defense performance of image classification models for automated driving systems by TANG Jun, HUANG Wenjing, LI Shuang, WU Zili

“…Image classification models have been widely applied to facilitate functions such as autonomous perception and positioning for automated driving in many transportation systems, including automobiles, autonomous rail and urban rail transit systems. However, output and judgment errors generated by these models due to the presence of adversarial examples, impose a great impact on the security and safety associated with their applications in automated driving systems. …”
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Robust H∞ Filtering of Nonhomogeneous Markovian Jump Delay Systems via N-Step-Ahead Lyapunov-Krasovskii Functional Approach by Jiwei Wen, Sing Kiong Nguang

“…We aim to design filters such that, for all possible time-varying transition probabilities and all admissible parameter uncertainties and time-delays, the filtering error system is mean-square stable with a smaller estimated error and a lower dissipative level. …”
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Structural Stiffness Identification Based on the Extended Kalman Filter Research by Fenggang Wang, Xianzhang Ling, Xun Xu, Feng Zhang

“…The numerical simulation shows that the error of structural recognition doesnot exceed 5% when the noise level is 3%. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…By addressing these challenges, GPR technology can transition from laboratory research to complex engineering applications, contributing to the safety and stability of rock engineering structures worldwide.…”
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Adaptive Linear Active Disturbance Rejection Cooperative Control of Multi-Point Hybrid Suspension System by Shuai Yang, Jie Yang, Fazhu Zhou

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A note on prognostic accuracy evaluation of regression models applied to longitudinal autocorrelated binary data by Giulia Barbati, Alessio Farcomeni, Patrizio Pasqualetti, Gianfranco Sinagra, Massimo Bovenzi

“…<p class="western" style="margin-bottom: 0cm; line-height: 200%;" lang="en-US" align="JUSTIFY"><span><span><span><strong>Background: </strong></span></span></span><span><span><span>Focus of this work was on evaluating the prognostic accuracy of two approaches for modelling binary longitudinal outcomes, a Generalized Estimating Equation (GEE) and a likelihood based method, Marginalized Transition Model (MTM), in which a transition model is combined with a marginal generalized linear model describing the average response as a function of measured predictors.…”
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A machine learning computational approach for the mathematical anthrax disease system in animals. by Zulqurnain Sabir, Eman Simbawa

“…Moreover, the statistical performances in terms of regression coefficient, error histogram, and state transition values enhance the reliability of the proposed stochastic machine learning approach.…”
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Healthcare professionals’ perceptions of electronic prescription systems in outpatient services: a qualitative study at UNS hospital by Joko Sudarsono, Satibi Satibi, Lutfan Lazuardi, Anna Wahyuni Widayanti

“…The outpatient prescription service at UNS Hospital is transitioning from paper-based to electronic prescription systems (EPSs). …”
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