Protective Factors for Marijuana Use and Suicidal Behavior Among Black LGBQ U.S. High School Students by DeKeitra Griffin, Shawndaya S. Thrasher, Keith J. Watts, Philip Baiden, Elaine M. Maccio, Miya Tate

“…This study aimed to investigate the association between protective factors, marijuana use, and suicidal behavior among Black LGBQ U.S. adolescents. …”
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Study on the interactive evolution mechanism of residents’ energy use behavior in shared living spaces by Xiaodan Liu, Sisi He, Wentao Peng, Ling Liao, Danyao Li, Jiaying Chen

“…Subsequently, the student dormitory is taken as an example, data are obtained through questionnaires and matlab is used to analyze the interactive evolution process of heterogeneous subjects’ energy-use behaviors, findings demonstrate that enhancing the likelihood of heterogeneous individuals adopting energy-saving strategies can be achieved through various means. …”
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Women on the Move: How Socio-Economic Background Through Lifestyle Shapes Travel Behavior to Bali by Ni Made Dyah Ryana Kurniasari, Putu Gde Arie Yudhistira

“…Using a modified version of the Theory of Planned Behavior (TPB), this study adopts a quantitative approach. …”
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Eating behaviors among chinese older adults: A qualitative study using the capability, opportunity, motivation, and behavior model by Qian Wang, Qian Li

“…Objective: This study explored the mechanisms underlying eating behaviors among Chinese older adults using the COM-B model, which conceptualizes behavior through Capability, Opportunity, and Motivation components. …”
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Analysis of Financial Speculators’ Herd Behaviour Impact on the Instability of Commodity Prices. Evidence from Weekly WTI Crude Oil Market Data Using Uncertainty Theory (2018–2024)... by Tebache Djamal, Chetbani Saida

“…Methodology: The authors approach relies on introducing uncertainty theory and VNM1 expected utility, rather than relying on ARDL modelling and dummy variables over the period 2018–2024, using weakly data provided by the CFTC. Results: Our findings indicate the significant effect of variables, buying and selling positions of financial speculators and the war in Ukraine, namely increasing mimetic behavior of traders’ and financial speculators’ impact on prices. …”
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Behavioral and biological risk factors of non-communicable diseases: Results of a nationally representative cross-sectional survey in Algeria by Karl Peltzer, Djamila Nadir Azirou, Edith Phalane, Mohlago Ablonia Seloka, Refilwe N. Phaswana-Mafuya

“…The STEPS instrument comprised three levels: the questionnaire, physical and biochemical measures, which were used to assess the NCDs’ behavioral and biological risk factors, including current tobacco use, inadequate fruit and vegetable (FV) intake, low physical activity (PA), sedentary behavior, overweight/obese, hypertension, diabetes, and elevated total cholesterol. …”
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Problematic cellular phone use: a factor analysis by Saeideh Moslemizadeh, Habibeh Ahmadipour

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Influencing factors of maternal online health information-seeking behavior by Huajie Xu, Yanping Zhou, Xiaotong Wang

“…Using SPSS software to empirically analyze the influence of different influencing factors on maternal online health information searching behavior.ResultsPerceived usefulness mediated between the Internet information quality and online health information-seeking behavior, accounting for 59.46% of the variance. …”
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Predicting User Purchases From Clickstream Data: A Comparative Analysis of Clickstream Data Representations and Machine Learning Models by A. Aylin Tokuc, Tamer Dag

“…Unlike prior research, which typically focuses on single representations, our approach combines aggregated session-level summaries with granular, sequential user actions to capture both long-term and short-term behavioral patterns. Through comprehensive experimentation, we compared multiple machine learning models, including LightGBM, decision trees, gradient boosting, SVC, and logistic regression, using real-world e-commerce clickstream data. …”
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The Influence of Consumer Behavior And Interest on The Purchase Decision of Second-Hand Clothing in Lubuk Pakam City by Rifki Maulana, Reni Ria Armayani Hasibuan, Juliana Nasution

“… Purpos: The purpose of this research is to determine the influence of consumer behavior and interests on purchasing decisions for used clothing in Lubuk Pakam City. …”
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Comparing the accuracy of machine learning methods for classifying wild red deer behavior based on accelerometer data by Benjamin Bar-Gera, Pia Anderwald, Alina L. Evans, Thomas Rempfler, Claudio Signer

“…Combined with classification models, data collected by accelerometers on a collar can be used to determine an animal’s behaviors. …”
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Knowledge and behaviors of Turkish dentists regarding rational drug use in pediatric patients: a cross-sectional survey by Menekşe Alim, Nurhan Öztaş Kirmizi

“…A special questionnaire was developed for data collection. The first part of the questionnaire consisted of sociodemographic data, the second part of the questionnaire consisted of questions about the status and desire for rational drug use education, and the third part of the questionnaire consisted of multiple-choice questions assessing the dentists’ knowledge and behaviors related to rational drug use. …”
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Mobile phones and telecommuting: Effects on trips and tours of Londoners by Grace Uayan Padayhag, Jan-Dirk Schmöcker, Daisuke Fukuda

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Decoding strategies for stigma reduction in substance use disorder: A qualitative synthesis utilizing the theoretical domain and behavior change wheel frameworks by Abhishek Ghosh, Kshitiz Sharma, Arshia Sood, Babita Sharma, Blessy B. George

“…Inclusion criteria encompassed clinical trials targeting various populations and employing diverse intervention types. Data extraction and thematic analysis were performed using the Theoretical Domain Framework (TDF) to classify emergent themes and codes. …”
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IndetermSoft Set for Digital Marketing Effectiveness Evaluation Driven by Big Data Based on Consumer Behavior by Tao Shen, Chunmei Mao

“…This study proposes the multi-criteria decision-making (MCDM) methodology for Digital Marketing Effectiveness Evaluation Driven by Big Data Based on Consumer Behavior. This study uses two MCDM methods such as the Entropy method to compute the criteria weights and the MARCOS method to rank the alternatives. …”
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Behavioral Economics in EU: Meat, ESG, Macroeconomics by Panagiotis Karountzos, Nikolaos T. Giannakopoulos, Damianos P. Sakas, Kanellos Toudas

“…This study examines the impact of macroeconomic and ESG (Environmental, Social, and Governance) factors on meat consumption in EU countries through a behavioral economics framework. Using panel data from 27 EU countries (2000–2021), the analysis applies Fixed Effects (FE), Random Effects (RE), and Generalized Estimating Equations (GEE) models to identify key drivers of meat consumption. …”
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Spatial self-selection in land-use–travel behavior interactions: accounting simultaneously for attitudes and socioeconomic characteristics by João de Abreu e Silva

“…The model proposed herein uses data collected in 2009 for the Lisbon Metropolitan Area. …”
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Built environment and travel behavior: Validation and application of a continuous-treatment propensity score stratification method by Giancarlos Troncoso Parady, Kiyoshi Takami, Noboru Harata

“…This article discusses the validation and implementation of a propensity score approach with continuous treatment to test the existence of a causal relationship between the built environment and travel behavior using cross-sectional data. The implemented methodology differs from previous applications in the planning literature in that it relaxes the binary treatment assumption, which polarizes the built environment into two extremes (e.g., urban vs suburban). …”
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A Sensor-Enabled Smart Tray for Understanding Consumer Eating Behavior in a Restaurant by Benjamin Baugier, Charles Boreux, Simon De Jaeger, Nathan Codutti, François-Xavier Barbet, Antoine Barbaut, Uzeir Joomun, Sébastien Joseph Guna Rajan, Dorothée Goffin, Eric Haubruge

“…This preliminary study explores the use of a smart tray prototype equipped with a weight sensor to analyze consumer eating behavior in real-life conditions. …”
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Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study by Chuqin Li, Alexis Jordan, Yaorong Ge, Albert Park

“…ConclusionsWe were able to observe people’s eating habits using social media data to investigate the effects of COVID-19 on dietary behaviors. …”
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