Systematic review of longitudinal studies on daily health behavior and activity of daily living among older adults by Ling-ying Wang, Ling-ying Wang, Zi-yi Hu, Hong-xiu Chen, Hong Zhu, Chun-fen Zhou, Rui-xue Zhang, Meng-lin Tang, Xiu-ying Hu

“…In contrast, physical inactivity, a sedentary lifestyle, and smoking were strongly linked to ADL impairment, followed by sleep duration issues, infrequent consumption of fruits and vegetables, lower frequency of soy product intake, and higher energy intake.ConclusionLongitudinal data and theoretical literature indicate that daily health behavior indicators predict independence in older adults. …”
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Pharmacological Enhancement of Adult Hippocampal Neurogenesis Improves Behavioral Pattern Separation in Young and Aged Male Mice by Wei-li Chang, Karly Tegang, Benjamin A. Samuels, Michael Saxe, Juergen Wichmann, Denis J. David, Indira Mendez David, Angélique Augustin, Holger Fischer, Sabrina Golling, Jens Lamerz, Doris Roth, Martin Graf, Sannah Zoffmann, Luca Santarelli, Ravi Jagasia, René Hen

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Host Disease Tolerance Predicts Transmission Probability for a Songbird Pathogen by Amberleigh E. Henschen, Francis E. Tillman, Sarah Coleman Ruston, Dana M. Hawley, James S. Adelman

“…In contrast, we predicted that behavioral tolerance would be linked to higher transmission, as more tolerant individuals spent more time on a feeder shared with a susceptible individual despite high pathogen loads. …”
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Striato-cortical connectivity patterns predict clinical profiles in Huntington’s disease by Audrey E. De Paepe, Vasiliki Bikou, Eylül Turan, Alexis Pérez-Bellido, Clara Garcia-Gorro, Nadia Rodriguez-Dechicha, Irene Vaquer, Matilde Calopa, Ruth de Diego-Balaguer, Estela Camara

“…Objectives: To identify how distinct functional striato-cortical connectivity signatures may predict clinical profiles in Huntington’s disease. …”
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Simulation and prediction of rural population changes using agent-based modeling. by Shanshan Huang, Yao Huang, Shitai Bao, Jianfang Wang, Siying Chen

“…This study employs an agent-based model(ABM), defining a population agent and its behavioral rules. By modeling individual-level birth, death, and migration behaviors, it generates agent-based outputs that aggregate to capture population dynamics and forecast rural demographic trends over the next 11 years. …”
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Note-by-note predictability modulates rhythm learning and its neural components by Marc Deosdad-Díez, Josep Marco-Pallarés

“…Behaviorally, higher asynchrony occurred with less predictable notes. …”
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The contributions of brain structural and functional variance in predicting age, sex and treatment by Ning-Xuan Chen, Gui Fu, Xiao Chen, Le Li, Michael P. Milham, Su Lui, Chao-Gan Yan

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Sunk cost effects for thee but not for me: Decisions and predictions involving others by Zhiqin Chen, Şule Güney, Richard S. John

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Pedestrian Trajectory Prediction Based on Dual Social Graph Attention Network by Xinhai Li, Yong Liang, Zhenhao Yang, Jie Li

“…To effectively account for the critical group dynamics, a dedicated group attention function is designed to identify and quantify the collective behaviors within pedestrian crowds. This facilitates a more comprehensive understanding of the complex social interactions, leading to an enhanced trajectory prediction accuracy. …”
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Menstrual cycle and perceived stress predict performance on the mnemonic similarity task. by Mateja Perović, Michael L Mack

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Personality Trait Prediction From Facial Sketch Leveraged by Expression Muscles by Lifen Weng, Jiangbin Guo, Qibing Zhu

“…This work explores whether facial sketches can be used to predict personality traits, representing, to our knowledge, the first systematic investigation of this approach in the literature. …”
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A cognition‐inspired trajectory prediction method for vehicles in interactive scenarios by Shanshan Xie, Jiachen Li, Jianqiang Wang

“…Abstract Trajectory prediction of the ego vehicle is necessary for the cooperation driving of intelligent vehicles and drivers. …”
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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

“…Objective To investigate the factors influencing CHD and to establish predictive models for CHD risk using two data balancing methods based on five algorithms, comparing the predictive value of these models for CHD risk. …”
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Predicting time-to-first cancer diagnosis across multiple cancer types by Kien Lau, Gregory R. Hart, Jun Deng

“…Early detection is critical; for liver cancer, survival rates improve from 4 to 37% when caught early. However, predicting time to first cancer diagnosis is challenging due to its complex and multifactorial nature. …”
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Predicting guest satisfaction and willingness to pay premium prices for green hotels by Jin Yang, Mohammad Nurul Hassan Reza, Abdullah Al Mamun, Muhammad Mehedi Masud, Mara Ridhuan Che Abdul Rahman

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State of Charge Prediction for Electric Vehicles Based on Integrated Model Architecture by Min Wei, Yuhang Liu, Haojie Wang, Siquan Yuan, Jie Hu

“…The approach addresses the problem of inaccurate remaining range prediction, improving drivers’ travel planning and vehicle efficiency. …”
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Friend Link Prediction Method Based on Heterogeneous Multigraph and Hierarchical Attention by Aoxue Liu, Boyu Li, Yong Wang, Ziteng Yang

“…With the rapid growth of location-based social network (LBSN), rich data comprising social behaviors and location information among users has emerged. …”
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Parenclitic network mapping predicts survival in critically ill patients with sepsis by Emily Ito, Tope Oyelade, Matthew Wikner, Jinyuan Liu, Watjana Lilaonitkul, Ali R. Mani

“…This study explored the use of parenclitic network mapping to assess organ connectivity and predict sepsis outcomes based on routine laboratory data. …”
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Predicting individual hemoglobin abnormalities using longitudinal data in clinical practice by Maliheh Namazkhan, Karel Jan van Tuijn, Maurits Kaptein, Remco van Horssen

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Different artificial neural networks for predicting burnout risk in Italian anesthesiologists by Marco Cascella, Alessandro Simonini, Sergio Coluccia, Elena Giovanna Bignami, Gilberto Fiore, Emiliano Petrucci, Alessandro Vergallo, Giacomo Sollecchia, Franco Marinangeli, Roberto Pedone, Alessandro Vittori

“…This study aims to develop and evaluate different artificial dense neural network (DNN)-based models to predict BO based on occupational, psychological, and behavioral factors. …”
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