Gaming time and impulsivity as independent yet complementary predictors of gaming disorder risk by Paulina Daria Szyszka, Aleksandra Zajas, Jolanta Starosta, Patrycja Kiszka, Sylwia Starzec, Paweł Strojny

“…The present study explored the connections between impulsivity, measured both by self-report and behavioral assessments, gaming time and gaming disorder within a cohort of 82 participants. …”
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A transferable machine learning model for real-time forecast of epidemic dynamics and pre-trigger event warning by Enpei Chen, Xiong Yu

“…Such complexities, augmented by factors such as viral variant, public behavioral change, etc., make it challenging to develop empirical models or data-driven models to provide accurate prediction of disease case for public health policy makings. …”
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Eating disorders in medical students: prevalence, risk factors, comparison with the general population by Raluca Motorga, Mihaela Ionescu, Florina Nechita, Daniela Micu, Iulia Băluțoiu, Maria Mădălina Dinu, Dan Nechita

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Unmasking social bots: how confident are we? by James Giroux, Gangani Ariyarathne, Alexander C. Nwala, Cristiano Fanelli

“…Specifically, our approach facilitates targeted interventions for bots when predictions are made with high confidence and suggests caution (e.g., gathering more data) when predictions are uncertain.…”
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Precision-dependent modulation of social attention by Wenhui Gao, Changbo Zhu, Bailu Si, Liqin Zhou, Ke Zhou

“…Behaviorally, individuals’ allocation of social attention was finely tuned to the precision (inverse variance) of CV predictions, with the predictions updated by precision-weighted prediction errors (PEs) about the occurrence of target locations. …”
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Support for Businesses’ Use of Artificial Intelligence: Dynamics of Trust, Distrust, and Perceived Benefits by Lisa Tam, Soojin Kim, Yi Gong

“…Current research on AI has extensively examined drivers that predict individuals’ attitudes and behavioral intentions toward AI use. …”
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Cyber Dating Violence: patterns of prevalence and risk factors in a sample of Italian adolescents by Anna Sorrentino, Annarosa Cipriano, Margherita Santamato, Stefania Cella

“…More than 65% of students reported being victims of CDV, while about 64% have perpetrated such behaviors. Regression analyses showed that empathic affective dissonance, justification for female and peer aggression predicted CDV perpetration (F (11) = 5.798, p < 0.001). …”
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A personalized approach to understanding food cravings and intake: a study protocol by Saša Zorjan, Sašo Karakatič, Marina Horvat, Satja Mulej Bratec, Živa Krajnc

“…Markers that best differentiate these profiles will be identified with explainable AI techniques, which aim to make machine learning model outputs understandable by highlighting the key features or patterns driving predictions, enabling personalized insights into key factors contributing to eating behaviors and weight management. …”
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Motivators and barriers to the uptake of digital health platforms for family planning services in Lagos, Nigeria: A mixed-methods study by Mohammed M. Alhaji, Muhammad R. Balarabe, David Atama, Arizechukwu Okafor, Doluwamu Solana, Francis Meyo, Chinedu Joseph Okoye, Uchenna Okafor, Babatunde Oyelana, Jennifer Anyanti

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Distinguishing classes of neuroactive drugs based on computational physicochemical properties and experimental phenotypic profiling in planarians. by Danielle Ireland, Christina Rabeler, Sagar Rao, Rudy J Richardson, Eva-Maria S Collins

“…Organismal behavioral testing is needed to fill the gap, but mammalian studies are too time-consuming and cost-prohibitive for the early stages of drug discovery. …”
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Reshaped functional connectivity gradients in acute ischemic stroke by Cemal Koba, Joan Falcó-Roget, Alessandro Crimi

“…However, the mechanisms with which these global patterns emerge and the subsequent behavioral deficits they entail, remain largely unexplored. …”
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Association between RBC Indices, Anemia, and Obesity-Related Diseases Affected by Body Mass Index in Iranian Kurdish Population: Results from a Cohort Study in Western Iran by Maryam Kohsari, Mehdi Moradinazar, Zohreh Rahimi, Farid Najafi, Yahya Pasdar, Atefeh Moradi, Ebrahim Shakiba

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Cognitive impairment in multiple sclerosis: “classic” knowledge and recent acquisitions by Chiara Piacentini, Ornella Argento, Ugo Nocentini

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Characterizing the influence of racism-related stress and pandemic-related changes in social connections on cardiovascular health: Study protocol and theoretical framework. by Jewel Scott, Victoria Money, Charles Ellis, Chanita Hughes-Halbert, Michelle A Birkett, Gayenell Magwood

“…<h4>Background</h4>Cardiovascular-related morbidity and mortality among young adults are rising, and disparities between young Black and White women are immense. Health behaviors including physical activity and diet are essential for optimal cardiovascular health. …”
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Shaping children's digital futures: The role of parenting strategies in regulating children's technology use by Yakup Yildirim, Serpil Celikten Demirel, Burcu Avcioglu

“…Results: Efficient Usage and Protecting from Risks significantly predicted lower PTU levels. Behavioral attitudes, such as rule-setting, mediated a substantial portion of these relationships, showing immediate tangible effects, especially within Efficient Usage. …”
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Identifying and Labeling Potentially Risky Driving: A Multistage Process Using Real-World Driving Data by Charles Marks, Arash Jahangiri, Sahar Ghanipoor Machiani

“…Every year, over 50 million people are injured and 1.35 million die in traffic accidents. Risky driving behaviors are responsible for over half of all fatal vehicle accidents. …”
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Effect of mesostructure on quasi-static and dynamic tensile strength of rock: insights from a breakable grain-based model by Cheng Pan, Xing Li, Guangming Zhao, Bing Cheng

“…Abstract Accurately predicting rock tensile strength under varying strain rates is crucial for tunnel construction, as rock often fails in tension. …”
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Machine Learning Modeling of Disease Treatment Default: A Comparative Analysis of Classification Models by Michael Owusu-Adjei, James Ben Hayfron-Acquah, Frimpong Twum, Gaddafi Abdul-Salaam

“…Exploration of treatment default using biographic and behavioral metrics collected from patients and healthcare providers remains a challenge. …”
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Student engagement profiles in technology-rich environments: What they reveal about motivational beliefs, perceived task difficulty, and performance by Tingting Wang, Juan Zheng, Susanne P. Lajoie

“…Previous studies have confirmed the pivotal roles of student engagement in predicting learning achievements; however, only a few emphasized the patterns of different engagement dimensions within individuals (i.e., co-occurrences of behavioral, cognitive, and emotional engagement). …”
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Interpersonal Dynamics of Authentic Leadership: Effects on Support Perception and Workplace Procrastination by Sergio Edú-Valsania, Ana Laguía, Juan Antonio Moriano

“…This study aims to bridge the significant gap in the literature regarding the effects of Authentic Leadership (AL) on workplace procrastination behaviors, including soldiering and cyberslacking. …”
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