Does diminished ovarian reserve impact oxidation–reduction potential in follicular fluid? by Minh Tam Le, Nguyen Dac Nguyen, Hong Nhan Thi Dang, Quoc Huy Vu Nguyen

“…Objective This study aimed to evaluate oxidative stress in follicular fluid by measuring oxidation–reduction potential and determine its correlation with embryo quality in patients with diminished ovarian reserve. …”
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Impact of the hyperbaric oxygen therapy on the redox status in patients with systemic lupus erythematosus by Rabrenović Milorad, Nikolić Tamara, Rabrenović Violeta, Bradić Jovana, Trešnjić Saša, Petković Anica, Jakovljević Biljana, Mašić Siniša, Bokonjić Dubravko

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Biochemical Study on the Impact of Radiation-induced Oxidative Stress on Radiographers in the X-ray and CT-scan Departments by Salih Omer Haji, Jian Lateif Hussein

Subjects: “…Ionization radiation, Lipid profile test, Oxidative stress, Reduction, Vitamin D3…”
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The Impact of Green Tea Consumption and Its Extracts on Fat Reduction and Weight Loss by Anita Ptak, Michał Szyc

“…Green tea has been a focus of research on its effects on weight reduction for many years. This article will analyse the available studies on the effectiveness of green tea on body weight and body fat reduction in obese and overweight people. …”
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Comparison of hemodynamic effects and negative predictive value of normal adenosine gated myocardial perfusion scan with or without caffeine abstinence by Maseeh uz Zaman, Nosheen Fatima, Areeba Zaman, Unaiza Zaman, Rabia Tahseen

“…The aim of this study was to compare the hemodynamic changes and negative predictive value (NPV) of normal MPIs with adenosine stress performed with or without caffeine abstinence. …”
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CS03 | Khorana risk score and genomic profiling for prediction of venous thromboembolism in ovarian cancer

“…Figure 1. Evaluation of the predictive role of genomic mutations in patients with ovarian cancer. a. …”
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Feasibility and effectiveness of the mindfulness-based stress reduction programs on relieving burnout of healthcare providers during the COVID-19 pandemic: a pilot randomized controlled trial in China by Ruochen Gan, Shulin Chen, Jiang Xue

“…The aim of the study was to examine the feasibility and effectiveness of the mindfulness-based stress reduction (MBSR) program on relieving burnout of healthcare providers during the pandemic. …”
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Compression-compression fatigue life prediction model of T300/69 laminates under edge impact by ZHANG Peng, LIU Jianhui, WEI Yaobing

“…Therefore, it is of practical engineering significance to establish a fatigue life prediction model for low-velocity impact at the edge. …”
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Contact fatigue limit prediction method for heavy-duty gears considering hardness gradient characteristics by Boyu Zhang, Yongyong He, Zhengwei Wang

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Evaluating the feasibility of using crystalline patterns induced by PBF-LB to predict strength enhancing orientations by José David Pérez-Ruiz, Luis Norberto López de Lacalle, Wilmer Velilla-Díaz, Jaime A. Mesa, Gaizka Gómez, Heriberto Maury, Gorka Urbikain, Haizea Gonzalez

“…A distinctive feature of the PBF-LB process is its capacity to develop crystalline patterns, which can be utilized to predict strength-enhancing orientations of the produced components. …”
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Biomarkers for intensive care unit-acquired weakness: a systematic review for prediction, diagnosis and prognosis by Jiamei Song, Ting Deng, Qingmei Yu, Xun Luo, Yanmei Miao, Leiyu Xie, Yongming Mei, Peng Xie, Shaolin Chen

“…Biomarkers offer potential for diagnosing, predicting, and prognosticating ICU-AW, but a comprehensive synthesis of the available evidence is still lacking. …”
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Beyond the campus context: Reducing stress among students and community members through virtual canine comfort modules by Christine Y. Tardif-Williams, John-Tyler Binfet, Freya L.L. Green, Rebecca J.P. Godard, Akshat Singal, Camille X. Rousseau, Renata P.S. Roma, Amelia Willcox

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Unveiling postpartum PTSD: predicting risk factors using decision trees and logistic regression in Chinese women by Xiao Fei Nie, Lan Lan Xu, Wen Ping Guo, Jin Hui Li, Li Cheng, Tao Tao Zhang, Jun-Yan Li

“…However, no studies have yet integrated both approaches to investigate postpartum posttraumatic stress disorder (PP-PTSD). This study aims to explore the factors associated with postpartum posttraumatic stress disorder (PP-PTSD) in Chinese women using decision tree and logistic regression models, while also comparing the predictive performance of both approaches. …”
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Development of a high-performing, cost-effective and inclusive Afrocentric predictive model for stroke: a meta-analysis approach  by M Nweke, P Oyirinnaya, P Nwoha, SB Mitha, N Mshunqane, N Govender, M Ukwuoma, SC Ibeneme

“…Abstract Background Predicting stroke risk is critical for preventive interventions. …”
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A Hybrid Model for Predicting Steering Brake Squeal Based on Multibody Dynamics and Finite Element Methods by Lijun Zhang, Yongchao Dong, Dejian Meng, Wenbo Li

“…Under the conditions of squealing, the loading of sprung mass is transferred, and lateral force is generated on the tire, resulting in stress and deformation of the suspension system. To predict the steering brake squeal propensity and explore its mechanism, we established a hybrid model of multibody dynamics and finite element methods to transfer the displacement values of each suspension connection point between two models. …”
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Adverse outcome pathway (AOP) framework for predicting toxic mechanisms in E-cigarette-induced lung injury by Yan Chen, Hongqian Jiang, Wei Liu, Zhenguang Du, Zhenyuan Wang, Zhicheng Zhou, Fusheng Chi

“…This AOP framework establishes a predictive paradigm linking structural properties of nicotine delivery systems to signaling perturbations, advancing toxicity assessment for next-generation tobacco products.…”
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Incorporating soil moisture data into a machine learning framework improved the predictive accuracy of corn yields in the U.S. by Bishwoyog Bhattarai, Zachary Leasor, André Fróes de Borja Reis

“…We hypothesize that incorporating soil moisture and temperature data from land surface models into a ML framework will enhance accuracy of corn yield predictions. To test this, we employed XGBoost algorithm using long-term (2010–2022) yield data collected from multi-environment corn trials conducted by the Variety Testing Program at the University of Missouri, along with weather data from Daymet database, soil data from North American Land Data Assimilation System (NLDAS-2), and POLARIS soil database. …”
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Forming limit prediction of advanced high-strength steels (AHSS) using an enhanced ductile damage model by Nguyen H. Hao

“… This paper presents prediction of forming limits of Advanced High-Strength Steels (AHSS) DP980 by adopting an enhanced ductile damage model to consider sheet metal anisotropy. …”
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Improved Deflection Prediction Model for PSC Box Girder with Stay Cable System during Tensioning Phase by Gangnian Xu, Weimin Xu, Zhanhong Wang, Ruishuo Zhang

“…To improve the accuracy of deflection prediction for prestressed concrete (PSC) box-girder bridges with a stay cable system (SCS) during tensioning, this study employs the Latin hypercube sampling (LHS) technique to sample random variables affecting long-term deflection of the main girder. …”
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Using machine learning to predict anesthetic dose in fish: a case study using nutmeg oil by Mert Minaz, Cem Alparslan, Akif Er

“…Application of anesthetic chemicals in aquaculture is important to minimize stress under normal operations such as handling, transport, and artificial breeding. …”
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