Optimizing corn yield prediction: Integrating multi-temporal UAS data and machine learning by Huihui Zhang, Yuting Zhou, Shengfang Ma, Kevin Yemoto

“…The integration of VNIR and LWIR imagery improves yield prediction accuracy, particularly in water-stressed conditions, highlighting the importance of advanced sensing technologies and complex models such as RF and GB. …”
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Multi‐trait multi‐environment genomic prediction of preliminary yield trial in pulse crop by Rica Amor Saludares, Sikiru Adeniyi Atanda, Lisa Piche, Hannah Worral, Francoise Dariva, Kevin McPhee, Nonoy Bandillo

“…Multi‐trait multi‐environment enabled genomic prediction (MTME‐GP) offers a valuable alternative to predict missing phenotypes of selection candidates for multiple traits and diverse environments. …”
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Niacin mitigates heat stress-induced reduction in performance of Taihe black-boned silky fowl through modulation of gut microorganisms and short-chain fatty acids by Wenliang Mei, Chuanbin Chen, Xiaona Gao, Wenyan Zhang, Ziyu Hu, Mingren Qu, Gen Wan, Lanjiao Xu

“…Furthermore, the NA-supplemented group exhibited a significant rise in the enrichment of Olivibacter and Flintibacter (p < 0.05) and a marked reduction in the enrichment of Proteobacteria (p < 0.05). …”
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MODIFIABLE AND NON-MODIFIABLE RISK FACTORS IN PREDICTING THE RECURRENCE OF ATRIAL FIBRILLATION IN PATIENTS WITH ARTERIAL HYPERTENSION by M. S. Arakelyan, N. G. Poteshkina, P. A. Mogutova

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Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches by Divesh Ranjan Kumar, Warit Wipulanusat

“…The BI-LSTM model has the highest accuracy, with 0.9791 in training and 0.8889 in testing, indicating strong predictive ability and good generalizability. LSTM follows closely with training and testing accuracies of 0.9433 and 0.8750, respectively, offering consistent performance. …”
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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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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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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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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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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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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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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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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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