Air pollution and defensive behavior: Evidence from transaction data in China. by Qingqing Yang, Xinping Dong

“…Using transaction-level data from a large insurance company, covering more than half a million insurance contracts from nineteen cities in China from 2014 to 2018, we empirically imply that an increase of 10% in AQI leads to a 0.37% uptick in the number of daily sales of health insurance contracts by the company within the city. …”
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Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses by İsmail Baydili, Burak Tasci, Gülay Tasci

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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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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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Financial Literacy, Consumptive Behavior, and Lifestyle on the Use of Shopee PayLater with the Moderating Role of Financial Behavior by Ahmad Zaki Zein, Farahiyah Sartika

“…Using a quantitative approach, the study surveyed 100 students across five universities in Malang City and analyzed the data through Structural Equation Modeling (SEM) with SmartPLS 4.0. …”
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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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Emulating a randomized clinical trial with real-world data to evaluate the effect of antidepressant use in PTSD patients with high suicide risk by Oshin Miranda, Xiguang Qi, M. Daniel Brannock, Ryan Whitworth, Thomas Kosten, Neal David Ryan, Gretchen L. Haas, Gretchen L. Haas, Gretchen L. Haas, Levent Kirisci, LiRong Wang

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The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention by Ahmet Erdem, Mahmut Barakazı, Ferhat Şeker

“…The aim of this research is to determine the effect of attitude and acceptability of the use of robots in restaurants on behavioral intention. …”
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