Reinforcement learning in artificial intelligence and neurobiology by Tursun Alkam, Andrew H Van Benschoten, Ebrahim Tarshizi

“…Reinforcement learning (RL), a computational framework rooted in behavioral psychology, enables agents to learn optimal actions through trial and error. …”
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Knowledge Gap Extraction Based on Learner Interaction with Training Videos by Yosra Bahrani, Omid Fatemi

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Unsupervised discovery of family specific vocal usage in the Mongolian gerbil by Ralph E Peterson, Aman Choudhri, Catalin Mitelut, Aramis Tanelus, Athena Capo-Battaglia, Alex H Williams, David M Schneider, Dan H Sanes

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APLIKASI MODEL PENERIMAAN TEKNOLOGI DALAM PENGGUNAAN SOFTWARE AUDIT OLEH AUDITOR by Dhini Suryandini

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The Impact of Switching Intention of Teachers’ Online Teaching in the COVID-19 Era: The Perspective of Push-Pull-Mooring by Chien-Liang Lin, Jun-Yan Liu, Chi-Heng Li, Yu-Sheng Su, Juan Zhou

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A Comprehensive Survey of Security and Privacy in UAV Systems by Bryce Cordill, Dongfeng Fang, Shengjie Xu

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Modeling of the frequency response function and its evaluation during boring by Максим Шихалєєв, Вадим Медведєв

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Application of Marketing Communication Tools in Small and Medium Enterprises. Results of Regional Research by Małgorzata Adamska

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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study by Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

“… BackgroundThe number of survivors of cancer is growing, and they often experience negative long-term behavioral outcomes due to cancer treatments. There is a need for better computational methods to handle and predict these outcomes so that physicians and health care providers can implement preventive treatments. …”
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You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization by Mohamed Shili, Osama Sohaib, Salah Hammedi

“…The speedy progress of computer vision and machine learning engineering has inaugurated novel means for improving the purchasing experiment in brick-and-mortar stores. …”
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The neuroscientific basis of flow: Learning progress guides task engagement and cognitive control by Hairong Lu, Dimitri Van der Linden, Arnold B. Bakker

“…These findings highlight the critical role of learning progress in sustaining engagement and cognitive control in goal-directed behavior.…”
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Exploring rounD Dataset for Domain Generalization in Autonomous Vehicle Trajectory Prediction by Zikai Zhang

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Dataset of a national survey on online gambling activities among young people in Portugal. [version 2; peer review: 2 approved, 1 approved with reservations] by Ana Cristina Antunes, Ana Rita Farias

“…These changes are reshaping gambling behaviors, attracting a growing number of enthusiasts. …”
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Street smarts: a remarkable adaptation in a city-wintering raptor by Vladimir Dinets, Vladimir Dinets

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Four New Patient-Reported Outcome Measures Examining Health-Seeking Behavior in Persons With Type 2 Diabetes Mellitus (REDD-CAT): Instrument Development Study by Suzanne E Mitchell, Michael A Kallen, Jonathan P Troost, Barbara A De La Cruz, Alexa Bragg, Jessica Martin-Howard, Ioana Moldovan, Jennifer A Miner, Brian W Jack, Noelle E Carlozzi

“…All items were devoid of differential item functioning for age, sex, education, or socioeconomic status factors. “Health-Seeking Behavior: General Beliefs” was developed to include both a computer adaptive test and a 6-item short form version; all other PROs were developed as static short forms. …”
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Diving into the past: tools for recovering historic dive traces from film-based time depth recorders using data from Weddell seals by EmmaLi G. Tsai, Dylan W. Schwilk, Michael A. Castellini, Jennifer M. Burns

“…However, historic analog data from early TDRs contain empirical information on the behaviors of animals that can inform modern studies. …”
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Optimized Captain Selection Using Diffusion-Based Player Behavior Synthesis and Multicriteria Decision Making With Intuitionistic Rough Fuzzy Under Dombi-AHP and PROMETHEE Methods by Ke Wang

“…Many existing approaches fail to summarize the difficulties of player behaviors and leadership qualities. In this article, we established a novel model by combining diffusion-based player behavior synthesis with multi-criteria decision-making (MCDM) approach; purposely, we use Dombi aggregation operators (AOs), analytical hierarchy process (AHP), and preference ranking organization method for enrichment evaluation (PROMETHEE) based on an intuitionistic rough fuzzy (IRF) framework. …”
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Philosophy of Suicide in Virtual Space by Roman G. Ardashev

“…As a result, data were obtained on the irrational foundations of thinking of those who are prone to suicide or suicidal behavior, unwillingness to solve their social fears and limitations, the presence of behavioral stigmatization, the absence of critical thinking, emotional, cognitive and intellectual rigidity. …”
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Electrochemical and quantum chemical investigation on the adsorption behavior of a schiff base and its metal complex for corrosion protection of mild steel in 15 wt% HCl solution by Badr El-Haitout, Ratnaningsih Eko Sardjono, Bouchra Es-Sounni, Maryam Chafiq, Rachid Salghi, Mohamed Bakhouch, Aisha H. Al-Moubaraki, Jamilah M. Al-Ahmari, Azza A. Al-Ghamdi, Mohammed Fahim, Belkheir Hammouti, Abdelkarim Chaouiki, Young Gun Ko

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Impact of Virtual Reality on Decision-Making and Risk Assessment During Simulated Residential Fire Scenarios by Micah D. Russell, Justin W. Bonny, Randal Reed

“…Recent research has used virtual environments (VEs), as presented via virtual reality (VR) headsets, to study human behavior in hypothetical fire scenarios. One goal of using VEs in fire scenarios is to elicit patterns of behavior which more closely align to how individuals would react to real fire emergency situations. …”
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