Promoting sustainable and personalized travel behaviors while preserving data privacy by Cláudia Brito, Noela Pina, Tânia Esteves, Ricardo Vitorino, Inês Cunha, João Paulo

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Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data by Vitaly Zabiniako, Toms Rožkalns, Erika Nazaruka, Jurijs Kornienko

“… Analysis of user behavior models based on user session data can be conducted using clustering (or community detecting) algorithms that do not require a predefined number of clusters. …”
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Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises by Oksana Ilina, Sona Antonyan, Maria Kosogorova, Anna Mirny, Jenya Brodskaia, Manasi Singhal, Pavel Belakurski, Shreya Iyer, Brandon Ni, Ranai Shah, Milind Sharma, Larry Ludlow

“…Understanding how students’ online homework behaviors relate to their academic success is increasingly important, especially in elementary education where such research is still emerging. …”
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Beyond UTAUT: Integrating Digital Literacy and Voluntariness of Use to Understand Cashless Payment Behavior by Damayanti Kurnia Asri, Jani Tamtomo, Muhammad Kafa Billah, Evi Rinawati Simanjuntak

“…The study aims to identify the factors influencing MSME owners' behavioral intention and usage behavior regarding digital payment systems, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. …”
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Specification and recognition of service trust behaviors by Hamdi Yahyaoui, Jumana El-Qurna, Mohamed Almulla

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Classification of User Behavior Patterns for Indoor Navigation Problem by Aleksandra Borsuk, Andrzej Chybicki, Michał Zieliński

“…We explore this idea in detail in our paper. To implement this behavior-based localization, we introduce an LSTM-based method for classifying user behavior patterns, including standing, walking, and using stairs or elevators, by analyzing velocity sequences derived from smartphone sensors’ data. …”
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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

“…To solve the tasks set, a comprehensive approach was applied, incorporating Data Science methods: descriptive statistics, data collection through Data Scraping techniques, natural language processing (NLP) for thematic modeling and sentiment analysis of the reviews, as well as cluster analysis using the k-means algorithm. …”
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Discerning dynamics in synchrophasor data using topological data analysis by Chetan Mishra, Luigi Vanfretti, Jaime Delaree, Jr., Kevin D. Jones

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A Novel Voltage–Current Characteristic Model for Understanding of Electric Arc Furnace Behavior Using Experimental Data and Grey Wolf Optimization Algorithm by Mustafa Şeker, Emre Ünsal, Ahmet Aksoz, Mahir Dursun

“…The control of nonlinear systems cannot be effectively achieved using linear mathematical methods. This paper introduces a novel mathematical model to characterize the voltage–current (V–I) characteristics of the electric arc furnace (EAF) melting process, incorporating experimental field data for validation. …”
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Deep learning with ensemble-based hybrid AI model for bipolar and unipolar depression detection using demographic and behavioral based on time-series data by Naga Raju Kanchapogu, Sachi Nandan Mohanty

“…Machine learning (ML) and deep learning (DL) offer automated approaches to detect depression using behavioral and demographic data.Methods This study proposes a hybrid AI framework combining structured demographic features with synthetic actigraph time-series data. …”
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The association between sedentary behavior and MASLD in overweight and obese adults: investigating the role of inflammatory markers using NHANES data (2017–March 2020) by Zehong Zhou, Linfang Li, Chusi Wang, Shiqi Li, Pengfei Chen, Jiesheng Huang, Ming Peng

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Using data processing to understand inconsistency in smartphone behavior among patients with serious mental illness: Results of a digital phenotyping biomarker study by Carsten Langholm, Scott Breitinger, Lucy Gray, Fernando Goes, Alex Walker, Ashley Xiong, Cindy Stopel, Peter P. Zandi, Mark A. Frye, John Torous

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More than just sentiment: Using social, cognitive, and behavioral information of social media to predict stock markets with artificial intelligence and big data by Yunus Emre Akdogan, Adem Anbar

“…This study moves beyond traditional finance assumptions of “perfect information,” “rational humans,” and “isolated individuals” by analyzing retail investor behavior using Twitter data. It adopts a human model characterized by incomplete information, bounded rationality, and the influence of social and emotional factors. …”
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Driving sustainable transportation: analyzing consumer behavior toward used electric vehicles by Zhang Yi, Noppawan Wisedsind, Jakkrit Thavorn

“…This study explores factors influencing consumers’ willingness to purchase used electric vehicles by integrating the Theory of Planned Behavior and the Technology Acceptance Model. …”
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Predicting the Attraction and Retention of Customers in Sports Pools in Isfahan City Using a Decision Tree: Presenting a Data Mining-Based Model by Seyed Masoud Mirsaeidi, Davood Nasr Esfahani

“…Therefore, it is recommended that managers make decisions based on these identified characteristics to retain customers and estimate customer behavior using such methods.…”
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Understanding Hong Kong students’ intercultural behavior: an approach using the theory of planned behavior by Kerry J. Kennedy, Jinxin Zhu

“…Respect for People from Other Cultures (RPOC) was adopted as the outcome measure located within an hypothesized model consisting of factors affecting students’ behavioral aspects of intercultural competence. The sample was drawn from the PISA database with a two-level path analysis used to analyse the data. …”
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Cyberbullying victimization predicts substance use and mental health problems in adolescents: data from a large-scale epidemiological investigation by Cláudio Romualdo, Wanderlei Abadio de Oliveira, Luciana Bertoldi Nucci, José Eugenio Rodríguez Fernández, Laura Soares da Silva, Evelin Moreira Freires, Amanda Severo Lins Vitta, Fernando Ferreira Semolini, Lucas da Rosa Ferro, Denise de Micheli, André Luiz Monezi Andrade

“…PurposeThis study investigated the potential association of cyberbullying victimization (CyVic) on substance use and mental health-related behaviors among Brazilian adolescents, using data derived from the National Survey of School Health (PeNSE).MethodThe sample comprised 146,536 adolescents aged up to 17 years, who were selected through probabilistic and representative sampling. …”
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Was retrospective change measurement conducted with Covid-19 containment inconsistent? Comparing prospective and retrospective change measures using data from a national survey on substance use and addictive behaviors. by Marc Dupuis, Joseph Studer, Matthias Wicki, Simon Marmet, Gerhard Gmel

“…The study sample consists of 2,279 young men who participated in C-SURF between 2020 and 2021, and completed between May and June 2021 a survey covering change in alcohol, cigarette, cannabis and other addictive behaviors related to the pandemic. The aforementioned behaviors were assessed longitudinally at two time points using self-reports, and retrospective change since the onset of the Covid-19 crisis was also assessed at the second measurement time. …”
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Storytelling in Health Behavior Research: An Adolescent Health Storytelling in Health Behavior Research: An Adolescent Health Risk Data Collection Conundrum by Robert F. Valois, Sarah H. Kershner, Jelani C. Kerr, Andre Walker, Debra Massey, Naomi B. Farber, Larry K. Brown, Michael P. Carey, Ralph J. DiClemente, Daniel Romer, Peter A. Vanable

“…This paper briefly discusses the scientific foundations and use of storytelling for effective instruction and shares a real-world story of conflict involving adolescent psychosocial and biological data collection, a principal investigator and a church youth director. …”
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Knowledge and behavior of dentistry patients about the use and misuse of antibiotics: A cross-sectional study by Nilay Er

“…Background: Antibiotics are being used frequently in dental infection and this study focused on the knowledge and behavior on antibiotic use of dentistry patients to reveal major mistakes leading to drug misuse. …”
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