Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The ensemble model is fine-tuned using Bayesian optimization to enhance predictive accuracy, while explainable artificial intelligence (XAI) tools—SHAP, LIME, and ELI5—provide interpretable feature insights, improving transparency in model predictions. …”
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An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness by Caroline König, Pedro Copado, Alfredo Vellido, Àngela Nebot, Cecilio Angulo, Maria Lamarca, Vanessa Acuña, Fabrice Berna, Steffen Moritz, Łukasz Gawęda, Susana Ochoa

“…This study introduces a machine learning (ML)-based platform aimed at predicting the effectiveness of Metacognitive Training (MCT). …”
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Understanding post-pandemic travel intention toward rural destinations by expanding the theory of planned behavior (TPB) by Mohd Azhar, Sehar Nafees, Sujood, Sheeba Hamid

“…Abstract This research intends to understand post-pandemic travel intention toward rural areas by extending the theory of planned behavior (TPB). Social media use (SMU) and electronic word of mouth (eWOM) have been incorporated into the original TPB model as additional constructs to increase its predictive power. …”
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Quality of Life among Adult Samples: Does Perceived Social Support and Health-Seeking Behavior Counts? by Enyelunekpo R. Roberts, Ucheawaji J. Owoh, Sunday A. Atunwa, Emmanuel E. Uye

“…Therefore, the objective of this study was to examine the predictive ability of perceived social support and health-seeking behavior on quality of life among the adult population in Port Harcourt. …”
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Modeling the Frequency of Cyclists’ Red-Light Running Behavior Using Bayesian PG Model and PLN Model by Yao Wu, Jian Lu, Hong Chen, Qian Wan

“…Red-light running behaviors of bicycles at signalized intersection lead to a large number of traffic conflicts and high collision potentials. …”
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Characteristics of real-world driving behavior in people with schizophrenia: a naturalistic study utilizing drive recorders by Hiroki Okada, Saki Komagata, Mayu Takagi, Yuichi Kamata, Junichi Matsumoto, Takaya Maeyama, Yukiko Takashio, Masaki Matoba

“…The present study aimed to compare PWS with healthy controls (HC) in real-world driving behaviors using 500 km of driving data collected through dashcams. …”
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From Being Served to Serving: How Servant Leadership Fosters Organizational Citizenship Behavior in the Digital Era by Huan Hong Nguyen, Cong Hiep Duong, Thi Trang Giang, Phuong Ngoc-Duy Nguyen

“…In the rapidly evolving business landscape and uncertain job market, particularly with the rise of non-traditional working methods, researchers have raised critical questions about how leadership impacts employees’ attitudinal and behavioral outcomes in the dynamic context. Our research addresses this call by exploring the impact of servant leadership (SL), a distinct leadership style from traditional methods, on organizational citizenship behavior (OCB), a pro-social behavior among employees in Vietnam. …”
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Compressive Deformation Behavior of Artificial Pumice for Reinforcement of Existing Shelter Against Ballistic Ejecta of Volcanic Eruption by Kohei Tateyama, Kazuma Abe, Hiroyuki Fujiki, Hisashi Sasaki, Hiroyuki Yamada

“…The model’s predictions were in good agreement with experimental results for pumice layers up to 150 mm thick. …”
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Technology use and health behavior among patients with diabetes: do underlying motives for technology adoption matter? by Sára Imola Csuka, Sára Imola Csuka, Barbara Horvát, Georgina Csordás, Csilla Lakatos, Tamás Martos, Tamás Martos

“…In addition, technology use predicted health behavior (diet and physical exercise) frequency. …”
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From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy by Rafael Herschberg, Lisa Rateau, Laure Martinelli, Fanny Balbaud-Célérier, Jean Dhers, Anna Fraczkiewicz, Gérard Ramstein, Franck Tancret

“…A method is developed to exploit data on complex materials behaviors that are impossible to tackle by conventional machine learning tools. …”
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Sagging behavior of precast NC beams with HPCs-filled wet joints incorporating pre-stressing technique by Ahmed Hamoda, Galal Elsamak, Basant ramadan

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Bonding behavior of lap-spliced reinforcing bars embedded in ultra-high-performance concrete with steel fibers by Krairerk Aiamsri, Teerasak Yaowarat, Suksun Horpibulsuk, Apichat Suddeepong, Apinun Buritatum, Kanchana Hiranwatthana, Kirati Nitichote

“…This study explores the bond strength of steel reinforcing bars in normal concrete (NC) and ultra-high-performance concrete (UHPC) with steel fibers, focusing on the behavior of lap-spliced rebars. Key variables such as rebar diameter (D), spacing (s), lap-splice length (L1), and hook length (L2) were evaluated to understand their impact on bond performance. …”
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Corrosion behavior of Q235 under dynamic simulated seawater and online monitoring using resistance probes by Hao Zhang, Xiaowen Song, Hao Miao, Yao Tan, Hao Yu, Junhang Chen, Chenghui Yin, Feixiong Mao, Kui Xiao

“…This study addresses the challenge of corrosion monitoring for carbon steel in seawater pipeline systems by developing an online monitoring setup that dynamically simulates the seawater pipeline environment, and systematically conducts real-time monitoring and mechanistic analysis of the corrosion behavior of Q235 carbon steel. By coupling resistance probe online monitoring with the conventional corrosion coupon method, a predictive model for dynamic corrosion rate was established, and, using X-ray diffraction (XRD) along with microscopic morphology characterization techniques (SEM and 3D confocal microscopy), the evolution of corrosion products and their impact on monitoring accuracy were elucidated. …”
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Factors Affecting the Intention to Choose the Natural vaginal delivery based on the Theory of Planned Behavior among Primigravidae by Zakia Yaghobi, Hamidreza Mohaddes Hakkak, Hamid Tavakoli Ghoochani, Hamid Joveini, Mina Maheri, Masoumeh Taherpour, Seyed Hamid Hosseini

“…The constructs of planned theory of behavior predicted 28.7% of the variance of NVD in pregnant women. …”
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Genetic Prediction of the Phosphate‐to‐Glucose Ratio Mediates the Association Between CXCL5 and Vascular Dementia by Guifeng Zhuo, Wei Chen, Yanan Hu, Jinzhi Zhang, Xiaomin Zhu, Mingyang Su, Yulan Fu, Wu Lin

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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

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Chronotype Predicts Body Mass Index via Emotion Regulation Strategy Use and Emotional Eating by Gregory S. Keenan, Sakina Hosseni, Robert C. A. Bendall

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Accuracy of Machine Learning in Predicting Post‐Stroke Depression: A Systematic Review and Meta‐Analysis by Husile Husile, Qinglin Bao, Sarula Sarula, Chu La, Wujisiguleng Wujisiguleng, Siqintu Siqintu, Temuqile Temuqile

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A Novel Depression Risk Prediction Model Using NHANES Data With Mendelian Randomization Validation by Lin Lin, Liqun Zhang, Jingdong Zhang, Dapeng Ding

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The effect of anxiety and autism symptom severity on restricted and repetitive behaviors over time in children with fragile X syndrome by Lauren J. Moskowitz, Elizabeth A. Will, Conner J. Black, Jane E. Roberts

“…Abstract Background Restricted and repetitive behaviors (RRBs) are highly prevalent and reduce function in individuals with fragile X syndrome (FXS). …”
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