Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption by Shahzad Sadiq, Jia Kaiwei, Ihsan Aman, Muhammad Mansab

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Gene Expression Network Reconstruction by LEP Method Using Microarray Data by Na You, Peng Mou, Ting Qiu, Qiang Kou, Huaijin Zhu, Yuexi Chen, Xueqin Wang

“…Gene expression network reconstruction using microarray data is widely studied aiming to investigate the behavior of a gene cluster simultaneously. …”
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On the Use of an Improved Artificial Fish Swarm Algorithm-Backpropagation Neural Network for Predicting Dam Deformation Behavior by Bo Dai, Hao Gu, Yantao Zhu, Siyu Chen, E. Fernandez Rodriguez

“…At the same time, dam deformation behavior is vital to dam systems. Developing a precise prediction model of dam deformation from prototype data is still challenging but determinant in the structural safety assessment. …”
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Bitcoin price direction prediction using on-chain data and feature selection by Ritwik Dubey, David Enke

“…For this work, research is conducted using the relatively nascent technique of on-chain data analysis. …”
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Crowdsourced data leaking user's privacy while using anonymization technique by Naadiya Mirbahar Mirbahar, Kamlesh Kumar, Asif Ali Laghari, Mansoor Ahmed Khuhro

“…Due to the tremendous value embedded in big educational data, numerous research institutes have collected large volumes of student behavioral data. …”
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Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks by Yongxu Zhang, Catalin Mitelut, David J. Arpin, David Vaillancourt, Timothy Murphy, Shreya Saxena

“…Finally, this paper explored the contribution of different brain regions on behavior classification using SHapley Additive exPlanation value, and found that the somatosensory and premotor regions play a large role in behavioral classification.…”
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The Role of Media Use and Emotions in Risk Perception and Preventive Behaviors Related to COVID-19 in South Korea by Sungjoong Kim, Sung Kyum Cho, Sarah Prusoff LoCascio

“…The relationship between compliance with behaviors recommended to prevent the spread of COVID-19 and media exposure, negative emotions, and risk perception was examined using regression analyses of data from KAMOS, a nationally representative survey of South Korean adults. …”
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Journey into virtual reality: Identifying behavioral intentions to use virtual reality in tourism through spectral clustering by Attasit Wiangkham, Komsit Kieanwatana, Rattawut Vongvit

“…This study, through the application of Exploratory Factor Analysis and spectral clustering of empirical survey data, aims to identify clusters of behavioral intentions for using VR in tourism based on an extended Technology Acceptance Model (TAM). …”
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Analysis of Sluice Foundation Seepage Using Monitoring Data and Numerical Simulation by Fan Xuefeng, Zhenyu Wu, Liu Lijun, Yanfeng Wen, Shu Yu, Zhao Zepeng, Zefa Li

“…For sluices built on soil foundations, seepage safety of the foundation is one of the most concerns during operation of sluices. Monitoring data could reflect the real seepage behavior in the foundation, but of which the shortcoming is that generally only the local seepage states can be measured. …”
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Associations between HEXACO personality traits, substance use disorders, and behavioral addictions: a protocol for a comprehensive systematic review and meta-analysis by Farangis Sharifibastan, Eilin Kristine Erevik, Katharina Teresa Enehaug Morken, Ståle Pallesen

“…Abstract Background While research has explored the connection between addiction and personality, no systematic study has examined how substance use disorders (SUD) and behavioral addictions specifically relate to the HEXACO model of personality. …”
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Behavioral intention to use electronic cigarettes in the Philippines: The role of social influence, knowledge, price and health impact. by Zachariah John A Belmonte, Yogi Tri Prasetyo, Pamela Eyre R Victoria, Maela Madel L Cahigas, Reny Nadlifatin, Ma Janice J Gumasing

“…This study investigates the behavioral drivers of e-cigarette use, with a particular focus on the role of knowledge, alongside social influence, perceived price impact, perceived health impact, and perceived usefulness. …”
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Associations of social network use and social network addictive behaviors with self-esteem in adolescents: the EHDLA study by Estefanía Martínez-Iniesta, José Adrián Montenegro-Espinosa, Bruno Bizzozero-Peroni, Bruno Bizzozero-Peroni, Jorge Olivares-Arancibia, Rodrigo Yáñez-Sepúlveda, Daniel Duclos-Bastías, Daniel Duclos-Bastías, Josefa María Panisello Royo, Arthur Eumann Mesas, José Francisco López-Gil, Estela Jiménez-López, Estela Jiménez-López

“…The use of specific social media platforms and their associated addictive behaviors related to self-esteem were also evaluated.MethodsThis cross-sectional study used secondary data from the Eating Healthy and Daily Life Activities (EHDLA) project, which included a representative sample of adolescents aged 12–17 years from the Valle de Ricote in the Region of Murcia, Spain. …”
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Effect of Education Based on the Theory of Planned Behavior on the Use of Fast Foods in Students of Girls' Vocational Schools by Sahar Shaikh-Ahmadi Seyedeh, Afshin Bahmani, Parvaneh Teymouri, Fardin Gheibi

“…Data were analyzed using SPSS 18 software through Chi-square and independent T-test. …”
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Data-driven strategies for digital native market segmentation using clustering by Md Ashraf Uddin, Md. Alamin Talukder, Md. Redwan Ahmed, Ansam Khraisat, Ammar Alazab, Md. Manowarul Islam, Sunil Aryal, Ferdaus Anam Jibon

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Factors influencing timely diagnosis of autism in China: an application of Andersen’s behavioral model of health services use by Zhuoqing Li, Xuejing Niu, Patrick C. M. Wong, Huanyu Zhang, Li Wang

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Impact of the COVID-19 Pandemic on Changes in Tobacco Use Behavior: A Longitudinal Cohort Study in Japan by Makiko Kanai, Osamu Kanai, Takahiro Tabuchi

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The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning by Asaf Salman, Giora Alexandron

“…If such a thing as DFL truly exists, then given enough fine-grained behavioral data, we argue that it should be possible to model a DFL to a level of discriminability that enables training machine learning models to associate (map) between the (de-identified) digital traces of the same learner in diverse contexts. …”
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Cancer Patients’ Behavior and Perception on the Use of Medical Foods and Dietary Supplements During Chemotherapy by Chavengkijsakol D, Kongjan J, Suwanwattanakul T, Trakarnsanga B, Areepium N, Siritientong T

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Understanding tourism consumer behavior using biometric technologies: bibliographic review and research agenda by Nuria Ruiz-Lacaci, Ana Reyes-Menendez, Ana Vico Belmonte

“…Amidst the COVID-19 pandemic, these technologies have grown rapidly, posing challenges and opportunities in utilizing the resulting data. This study aims to develop a research agenda concerning biometrics in tourism consumer behavior, detailing what biometric data entails and outlining its diverse applications. …”
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Students’ Learning Behavior in Writing Descriptive Texts by Using Silent Card Shuffle Strategy by Rosi Kumala Sari, Rasmita Rasmita

“…Therefore, Silent Card Shuffle Strategy is chosen by the lecturer to motivate and change the students’ learning behavior in writing English descriptive texts. The method used this research was descriptive qualitative research. …”
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