Modeling Investor Behavior Using Machine Learning: Mean-Reversion and Momentum Trading Strategies by Thiago Christiano Silva, Benjamin Miranda Tabak, Idamar Magalhães Ferreira

“…We model investor behavior by training machine learning techniques with financial data comprising more than 13,000 investors of a large bank in Brazil over 2016 to 2018. …”
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Behavioral Assessment of a Novel Hepatic Encephalopathy Model using CCl₄ and Manganese in Mice by Claudia J. Frias-González, Ana Sandoval-Rodríguez, Carolina Díaz-Canul, Mónica A. Ibarra-Hernández, Jorge A. Salto-Sevilla, Juan Armendáriz-Borunda

“…Liver morphology changes were observed, and Hematoxylin-Eosin staining was used to determine inflammation. Data were analyzed using ANOVA for parametric data and the Kruskal-Wallis test for non-parametric data, with results presented as Mean ± SEM. …”
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Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment by Liqiang Huang

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Analyzing the learning behavior patterns of business english learners using deep learning technology by Xiaohui Zeng

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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

“…Initially, factors influencing the choice of financing methods, including structural, demographic, and behavioral factors, were identified. These factors were then assessed using a questionnaire consisting of 32 items, which was sent online to startup founders. …”
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Fluid Flow Behavior Prediction in Naturally Fractured Reservoirs Using Machine Learning Models by Mustafa Mudhafar Shawkat, Abdul Rahim Bin Risal, Noor J. Mahdi, Ziauddin Safari, Maryam H. Naser, Ahmed W. Al Zand

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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

“…We evaluate two main approaches: traditional machine learning models based on behavioral features extracted from the worm’s skeleton using Tierpsy Tracker, and deep neural networks that directly analyse video sequences. …”
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SEDENTARY BEHAVIOR IN YOUNG ADULTS USING ECOLOGICAL MOMENTARY ASSESSMENT: AN IMAGE OBSERVATION PROTOCOL by Amanda Baroni Costa, Arthur Magro Pinheiro, Guilherme Batista de Sousa, Lucas Vinícius Ramos, Millena Aparecida Ladislau, Catiana Leila Possamai Romanzini

“…ABSTRACT New ways to obtain information on sedentary behavior (SB) have recently been explored. This study aimed at assessing the self-reported posture agreement by using the Ecological Momentary Assessment (EMA). …”
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The Role of Social Influence and Security Risk in Shaping Intention to Use Ride-Hailing in West Papua: A Theory of Planned Behavior Perspective by Dewi Aulia Nurhayati Maswatu, Dedi Iskandar Inan, Ratna Juita, Muhammad Indra

“…A total of 158 valid responses were collected through a quantitative survey, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). …”
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Video-Based Analysis of Cattle Behaviors: Improved Classification Using FlowEQ Transform by Jung-Woo Chae, Hyeon-Seok Sim, Chang-Woo Lee, Chang-Sik Choi, Hyun-Chong Cho

“…With a specific focus on behaviors closely associated with their management, the study employs deep learning-based action classification methods over the commonly used object detection. …”
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Micro-Driving Behavior Analysis of Drivers in Congested and Conflict Environments Using Graph Theory by Rongjun Cheng, Xudong An, Weiqi Fan, Dan Zhao

“…Currently, there are few studies exploring the time-varying patterns of driving behavior among these drivers. This paper proposes a generic time-series analytical framework and uses it to analyze the driving behavior patterns of many high-risk drivers, which provides a theoretical and targeted basis for vehicle warning systems. …”
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Audio-Based Automatic Giant Panda Behavior Recognition Using Competitive Fusion Learning by Yuancheng Li, Yong Luo, Qijun Zhao, Mingchun Zhang, Yue Yang, Desheng Li

“…We construct a new benchmark audio dataset of giant pandas named abPanda-5 for GPBR, which consists of 18,930 samples from five giant panda individuals with five main behaviors. To fully explore the bioacoustic features, we propose an audio-based method for automatic GPBR using competitive fusion learning. …”
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Treatment of Cognitive and Behavioral Disorders in Children Using Transcranial Magnetic Stimulation: Literature Review by Julia V. Nesterova, George A. Karkashadze, Leila S. Namazova-Baranova, Elena A. Vishneva, Elena V. Kaytukova, Leonid M. Yatsik, Daria A. Bushueva, Natalia S. Sergienko, Tinatin Yu. Gogberashvili, Tatiana A. Konstantinidi, Dmitry S. Kratko

“…This article provides the overview of the currently available data on transcranial magnetic stimulation method as noninvasive treatment of various neuropsychiatric disorders in children and its difference from physiotherapeutic methods used in traditional Russian practice.…”
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Assessment of geotechnical behavior of gypseous soil under leaching effect using machine learning by Saif M. Hassan Al-Riahi, Nur Irfah Mohd Pauzi, Mohammed Y. Fattah, Hasan Ali Abbas

“…This study investigates the geotechnical behavior of gypseous soils under leaching conditions using a novel machine learning framework. …”
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Predicting Activity in Brain Areas Associated with Emotion Processing Using Multimodal Behavioral Signals by Lahoucine Kdouri, Youssef Hmamouche, Amal El Fallah Seghrouchni, Thierry Chaminade

“…This paper introduces a novel approach examining how behavioral and physiological signals can be used to predict activity in emotion-related regions of the brain. …”
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Analysis of Demographic, Familial, and Social Determinants of Smoking Behavior Using Machine Learning Methods by Joanna Chwał, Małgorzata Kostka, Paweł Stanisław Kostka, Radosław Dzik, Anna Filipowska, Rafał Jan Doniec

“…Smoking behavior, encompassing both traditional tobacco and electronic cigarette use, is influenced by a range of demographic, familial, and social factors. …”
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A Mobile App (Joint Effort) to Support Cannabis Use Self-Management and Reinforce the Use of Protective Behavioral Strategies: Development Process and Usability Testing by José Côté, Patricia Auger, Gabrielle Chicoine, Jinghui Cheng, Sylvie Cossette, Guillaume Fontaine, Christine Genest, Shalini Lal, Judith Lapierre, M Gabrielle Pagé, Marc-André Maheu-Cadotte, Geneviève Rouleau, Billy Vinette, Didier Jutras-Aswad

“…ResultsFour themes were identified from the interviews: Joint Effort was visually pleasing and easy to use; the content was well-adapted to the target audience and nonjudgmental; customization functions were appreciated; and the app was perceived as helpful and relevant for initiating behavior change. …”
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Detecting depression in speech using verbal behavior analysis: a cross-cultural study by Terry Amorese, Marialucia Cuciniello, Claudia Greco, Olga Sheveleva, Gennaro Cordasco, Cornelius Glackin, Gavin McConvey, Zoraida Callejas, Anna Esposito

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Monitoring of Energy Rates of Domestic PV Systems to Evaluate the Influence of Occupants’ Behavior on Environmental and Economic Benefits by Marilena De Simone, Antonio Bilotta

“…This study aims to highlight how monitoring, data collection, and analysis can be critical to obtain effective operation of PV systems, considering technical features and user behavior in parallel. …”
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Using computer vision to classify, locate and segment fire behavior in UAS-captured images by Brett L. Lawrence, Emerson de Lemmus

“…The ability to detect definable classes of fire behavior using computer vision has not been explored and could be helpful given it often dictates how firefighters respond to fire situations. …”
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