Prediction of Risk Behaviors in HIV-infected Patients Based on Family Functioning: The Mediating Roles of Lifestyle and Risky Decision Making by Fariba Ebrahim Babaei, Mojtaba Habibi Asgarabad, Vahid Nejati, Saeed Ghodrati, Ghasem Keshavarz Gerami

“…Low family functioning is one of the important factors predicting risk behaviors. Regarding this, the present study aimed to investigate the role of family functioning in predicting risk behaviors in the HIV-infected patients based on the mediating roles of risky decision making and lifestyle. …”
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Data-Supported Prediction of Surface Settlement Behavior on Opencast Mine Dumps Using Satellite-Based Radar Interferometry Observations by Jörg Benndorf, Natalie Merkel, Andre John

“…An application at a mine in central Germany illustrates the method by generating spatial predictions of the settlement behavior over more than 200 ha. …”
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Exploration of Moderated, Mediated, and Configurational Outcomes of Tourism-Related Content (TRC) on TikTok in Predicting Enjoyment and Behavioral Intentions by Shu-Chin Huang, Andri Dayarana K. Silalahi, Ixora Javanisa Eunike

“…This study is aimed at developing a model that includes the moderating, mediating, and configuration effects of tourism-related content (TRC) dimensions on TikTok to predict enjoyment and behavioral intention. This study employs a hybrid approach of structural equation modeling (SEM) and fuzzy set qualitative comparative analysis (fsQCA) to test hypotheses and propositions using a sample of 319 participants who have experience watching TRC on TikTok and have the intention to visit the destinations presented in the content. …”
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Machine learning-based prediction of torsional behavior for ultra-high-performance concrete beams with variable cross-sectional shapes by Elhabyb Khaoula, Baina Amine, Bellafkih Mostafa, A. Deifalla, Amr El-Said, Mohamed Salama, Ahmed Awad

“…Ultra-high-performance concrete (UHPC) is renowned for its exceptional mechanical properties; however, its torsional behavior remains inadequately understood, posing challenges for its application in structures subjected to twisting loads. …”
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Bond behavior of galvanized iron fiber reinforced concrete with recycled coarse aggregate and model prediction using machine learning by Md. Jahidul Islam, Ummul Wara Labiba, Tasfiah Faisal Chowdhury, Md. Shahjalal, Tanvir Mustafy, Tanvir Hassan Tusher

“…This study aims to improve the mechanical properties and bond behavior of natural aggregate concrete (NAC) and recycled aggregate concrete (RAC) by incorporating locally available galvanized iron fiber (GIF). …”
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Predicting risky driving behavior with classification algorithms: results from a large-scale field-trial and simulator experiment by Thodoris Garefalakis, Eva Michelaraki, Stella Roussou, Christos Katrakazas, Tom Brijs, George Yannis

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Benchmark VERCORS 2022: blind prediction of time-dependent behavior of concrete containment building with low and high-fidelity models by Štěpán Krátký, Petr Havlásek

“…The goal for the participants of the third VERCORS benchmark was to predict the behaviour of the CCB based on standard laboratory measurements on VERCORS concrete. …”
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Predicting diabetic self-care management based on the theory of planned behavior among elderly with type 2 diabetes in Thailand by Paleeratana Wongrith

“…AIM: This study aimed to examine the treatment outcome and factors predicting diabetes self-care behaviors among elderly in Thailand. …”
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Prediction of R1234yf flow boiling behavior in horizontal, vertical, and inclined tubes using machine learning techniques by Farzaneh Abolhasani, Behrang Sajadi, Mohammad Ali Akhavan-Behabadi

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Research on the mechanical behavior and fatigue life prediction of flat-stacking-surface self-piercing riveted aluminum alloy joints by Chao Wang, Tao Chen, Aiguo Cheng, Zhaohui Hu, Shuai Mo

“…To ensure joint quality, the effects of riveting distance, overlap distance, and overlap surface type on the mechanical properties, and failure behaviors of the FS-SPR joints are investigated in this paper. …”
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Prediction of Hydrogen Diffusion Behavior under the Influence of Defect Structures in Stainless Steel Passivation Film Based on Molecular Dynamics by Yuanshuang Liu, Feng Qiu, Mindong Chen, Dingrong Qu, Haijun Hu

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Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm by Vinoth Viswanathan, Sathiyamurthy Subbarayan, Ananthi Narayanaswamy, Devi Panneerselvam, Prabhakaran Jayasankar

“…The present study investigates the mechanical behaviors of hybrid fiber-reinforced polyester composites in developing a new strengthened material. …”
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Do Binding Moral Foundations Predict a Hypothetical Moral Behavior? The Moderating Role of the Perception of the In-Group Moral Standards by Ankica Kosic, Annalisa Theodorou, Luigi Leone

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Does Measurement of Corticospinal Tract Involvement Add Value to Clinical Behavioral Biomarkers in Predicting Motor Recovery after Stroke? by Jong Youb Lim, Mi-Kyoung Oh, Jihong Park, Nam-Jong Paik

“…Background. The prediction of motor recovery after stroke is an important issue, and various prediction models have been proposed using either clinical behavioral or neurological biomarkers. …”
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Developing a Mathematical Model to Predict the Behavior of a Supersonic Superheated Steam Flow inside a Laval Nozzle by H. Rezaei, S. Ovaysi, M. Rahimi

“…The objective of the investigation was to mathematically correlate the behavior of a supersonic superheated steam flow inside a Laval nozzle, against the decision parameters. …”
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The impact of physical exercise on internalizing and externalizing problem behaviors among middle school students: correlation and regression prediction analysis by Jingtao Wu, Xinjuan Zhao, Yanhong Shao, Wanli Zang, Hu Jun, Wenjun Yu

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Predicting honest behavior based on Eysenck personality traits and gender: an explainable machine learning study using SHAP analysis by Yu Meng, Zili Peng, Zhitong Zhang, Qiaolin Chen, Hanxi Huang, Yihan Chen, Mengqian Zhao

“…IntroductionThis study bridges a critical gap in aviation safety research by examining how Eysenck personality traits (Neuroticism, Psychoticism, Extraversion) and gender predict dishonest behavior in high-risk aviation contexts. …”
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Mechanical Interlocking Approaches to the Prediction of Mechanical and Tribological Behavior of Natural Fiber-Reinforced Polymer Hybrid Nanocomposites or Automotive Applications by R. Venkatesh, P. C. Santhosh Kumar, A. Senthilkumar, J. Phani Krishna, P. Chandramohan, V. N. Aneesh, Avinash Malladi, C. B. Priya, Elangomathavan Ramaraj

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Development of GUI-Driven AI Deep Learning Platform for Predicting Warpage Behavior of Fan-Out Wafer-Level Packaging by Ching-Feng Yu, Jr-Wei Peng, Chih-Cheng Hsiao, Chin-Hung Wang, Wei-Chung Lo

“…This study presents an artificial intelligence (AI) prediction platform driven by deep learning technologies, designed specifically to address the challenges associated with predicting warpage behavior in fan-out wafer-level packaging (FOWLP). …”
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Long short-term memory (LSTM) networks for precision prediction of Schottky barrier photodiode behavior at different illumination levels by Gökalp Tulum, Sajjad Nematzadeh, İlke Taşçıoğlu, Şemsettin Altındal, Fahrettin Yakuphanoğlu

“…The primary aim of this study was to develop a robust predictive model that accurately captures how dopant concentration and illumination levels influence the electrical behavior of SDs. …”
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