Transform-Based Multiresolution Decomposition for Unsupervised Learning and Data Clustering of Cellular Network Behavior by Juan Cantizani-Estepa, Sergio Fortes, Javier Villegas, Javier Rasines, Raul Martin Cuerdo, Raquel Barco

“…The proposed approach has been tested with real network data, successfully separating different behaviors analyzed in the evaluation section of the manuscript.…”
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User Behavior Analysis of E-Wallet Usage Among Gen Z using the Theory of Planned Behavior by Muhammad Zacky Raditya, Mona Fronita, Eki Saputra, Megawati Megawati

“…A quantitative research method was employed, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). …”
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Optimized workflow for behavior-coupled fiber photometry experiment: improved data navigation and accessibility by Anna Athanassi, Amaury François, Emmanuel Bourinet, Marc Thevenet, Nathalie Mandairon

“…Our approach allows ease of data analysis and exploration using custom algorithms and scripts that extract and process both fiber photometry and behavioral data, without relying on predefined event markers. …”
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A data dissemination mechanism based on evaluating behavior for vehicular delay-tolerant networks by Na Fan, Zongtao Duan, Guangyuan Zhu

“…Vehicular delay-tolerant networks are widely used in intelligent transport application. Vehicle nodes exchange and share various information in vehicular delay-tolerant networks. …”
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Holiday Destination Choice Behavior Analysis Based on AFC Data of Urban Rail Transit by Chang-jun Cai, En-jian Yao, Sha-sha Liu, Yong-sheng Zhang, Jun Liu

“…First, based on Guangzhou Metro AFC data collected on New Year’s day, the characteristics of holiday destination choice behavior for urban rail transit passengers is analyzed. …”
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Inferring mobility of care travel behavior from transit smart fare card data by Awad Abdelhalim, Daniela Shuman, Anson F. Stewart, Kayleigh B. Campbell, Mira Patel, Gabriel L. Pincus, Inés Sánchez de Madariaga, Jinhua Zhao

“…In contrast to past studies that have quantified the impact of gender using survey and qualitative data, we examine a novel data-driven workflow utilizing a combination of previously developed origin, destination, and transfer inference (ODX) based on individual transit fare card transactions, name-based gender inference, and geospatial analysis as a framework to identify mobility of care trip making. …”
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On the use of the stepped isostress method in the prediction of creep behavior of polyamide 6 by Tedjini Mohsein, Sedira Lakhdar, Guerira Belhi, Kamel Meftah

“…However, the performance of this method is highly dependent on the numerical model and the time spent in data processing. In this paper, the effect of the extrapolation techniques on the creep curves trend is investigated using the SSM data of Polyamide test. …”
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On the use of the stepped isostress method in the prediction of creep behavior of polyamide 6 by Lakhdar Sedira, Mohsein Tedjini, Belhi Guerira, Kamel Meftah

“…However, the performance of this method is highly dependent on the numerical model and the time spent in data processing. In this paper, the effect of the extrapolation techniques on the creep curves trend is investigated using the SSM data of Polyamide test. …”
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Driving behavior recognition and prediction based on Bayesian model by Xinsheng WANG, Zhen BIAN

“…Since the existing intelligent driving systems are lack of efficiency and accuracy when processing huge number of driving data,a brand new approach of processing driving data was developed to identify and predicate human driving behavior based on Bayesian model.The approach was proposed to take two steps to deduce the specific driving behavior from driving data correspondingly without any supervision,the first step being using Bayesian model segmentation algorithm to divide driving data that inertial sensor collected into near-linear segments with the help of Bayesian model segmentation algorithm,and the second step being using extended LDA model to aggregate those linear segments into specific driving behavior (such as braking,turning,acceleration and coasting).Both offline and online experiments are conducted to verify this approach and it turns out that approach has higher efficiency and recognition accuracy when dealing with numerous driving data.…”
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Factors influencing intentions to use Apple Pay: A behavioral perspective. by Khalid Waleed Abdo, Imdadullah Hidayat-Ur-Rehman, Sultan Bader Aljehani, Esam Mohammed Aloufi, Ali Alshehri

“…The survey was distributed online via social media platforms. Data from 221 valid responses were analyzed using partial least squares structural equation modeling. …”
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Tobacco use behaviors in response to menthol restriction: A scoping review by Esme E. Wright, Emanuel Tewolde, Ahmad El-Hellani, Min-Ae Song

“…We extracted data from each study regarding: 1) target population (US vs non-US); 2) type of ban (hypothetical or actual menthol ban); and 3) behavioral responses, including intended outcomes (quitting), harm reduction options (switching to e-cigarettes), and unintended consequences (continuing or switching to non-menthol products). …”
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Adolescents' use of care for behavioral and emotional problems: types, trends, and determinants. by Sijmen A Reijneveld, P Auke Wiegersma, Johan Ormel, Frank C Verhulst, Wilma A M Vollebergh, Danielle E M C Jansen

“…<h4>Methods</h4>We obtained longitudinal data on 2,230 adolescents during ages 10-19 from four measurements regarding use of general care and specialized care (youth social care and mental healthcare) in the preceding 6 months, the Child Behavior Checklist (CBCL) and Youth Self-Report, and child and family characteristics. …”
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Implementation of the Unified Theory of Acceptance and Use of Technology (UTAUT) 3 on the Sharia Bank Customer Behavior in Using Mobile Banking by Nurfia Sintia Daulay, Arbanur Rasyid, Utari Evy Cahyani, Rizki Mulia Lubis

“…This study examines the impact of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, and personal innovation on behavioral intention and user behavior. Using a quantitative approach, 200 respondents were selected through random sampling, and data were analyzed with Structural Equation Modeling-Partial Least Squares (SEM-PLS) via WarpPLS 7.0. …”
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Examining Parents’ Views and Behaviors About Preschool Children’s Technology Use by Seden Yay, Özge Özel

“…The purpose of this study is to examine the views and behaviors of parents of preschool children about their use of technology. …”
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Tension and compression behaviors of Moso bamboo (Phyllostachys pubescens) for structural use by Qunying Mou, Siyang Ji, Peng Li, Xianjun Li, Zhangjing Chen, Lin He, Xiazhen Li

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Big data analytics in telecommunications: Governance, architecture and use cases by Mohamed Zouheir Kastouni, Ayoub Ait Lahcen

“…With the upsurge of data traffic due to the change in customer behavior towards the use of telecommunications services, fostered by the current global health situation (mainly due to Covid-19), the telecommunications operators have a golden opportunity to create new sources of revenues using Big Data Analytics (BDA) solutions. …”
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Behavioral Motivation and Influencing Factors of Graduate Students Using AIGC Tool: An Empirical Analysis Based on Questionnaire Survey by Yijia WAN, Liping GU

“…[Results/ [Conclusions] Functional value, use value and emotional value in the tool aspect, individual innovation in individual aspect and social influence in environmental aspect have significant positive effects on graduate students' willingness to use AIGC tools, and indirectly affect their use behavior. …”
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Exposure to political violence and health risk behaviors of Palestinian youth by Rita T. Karam, Wenjing Huang, Umaiyeh Khammash, Peter Glick, Mohammed Shaheen, Ryan Andrew Brown, Sebastian Linnemayr, Salwa Massad

“…Methods We employed structural equation modeling using a 2014 nationally representative data from the Palestinian Youth Health Risk Study to examine the factors associated with engagement of youth ages 18–24 (N = 1449) in risky behaviors. …”
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Stigma related to screening, brief intervention, and referral intervention for behavioral health risk factors in healthcare settings: A systematic review by Adetola Aboyeji, Sharon Mah, Gary Teare, Kamala Adhikari

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Analyzing and predicting short-term substance use behaviors of persons who use drugs in the great plains of the U.S. by Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan

“…The sample provides us longitudinal survey data regarding their individual attributes, including drug use behaviors, at two separate time periods spanning 4-12 months. …”
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