Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions by Xiaomin Xu, Dongxiao Niu, Yan Li, Lijie Sun

“…Considering that the charging behaviors of users of electric vehicles (EVs) (including charging time and charging location) are random and uncertain and that the disorderly charging of EVs brings new challenges to the power grid, this paper proposes an optimal electricity pricing strategy for EVs based on region division and time division. …”
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A logistics book hidden in a linguistics library shelf: a qualitative examination of how resource constraints manifest in library operations by Raphael Aryee, Atia Alpha Alfa

“…Using thematic content analysis with NVivo software, we found that limited access to recommended textbooks leads to user frustration, resulting in antisocial behaviors such as hiding, stealing, and damaging books. …”
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Socioeconomic and behavioral factors of hypertension among Indian tribal population: Evidence from national family health survey 5. by Bodhi Sri Vidya Vennam, Sai Sushma Kuppli, Jayanta Kumar Bora, Soumya Swaroop Sahoo, Chaitanya Gujjarlapudi, Devi Madhavi Bhimarasetty, Ganga Nagamani Nerusu, Sonu Goel

“…The objective of the present study was to explore the association between socioeconomic and behavioral factors of hypertension among the tribal population of India.…”
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Modeling Nonusers’ Behavioral Intention towards Mobile Chatbot Adoption: An Extension of the UTAUT2 Model with Mobile Service Quality Determinants by Gatzioufa Paraskevi, Vaggelis Saprikis, Giorgos Avlogiaris

“…Data analysis, based on the partial least squares structural equation modeling (PLS-SEM) statistical method, revealed that performance expectancy, facilitating factors, hedonic motivation, mobility, trust, and service quality positively affect nonusers’ behavioral intention to adopt chatbots. …”
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Psychological well-being, gender, and age-specific difference on objectively recorded smartphone screen time in Japanese adults: A regression and clustering analysis by Ryusei Nishi, Kenichiro Sagiyama, Hajime Suzuki, Marie Amitani, Haruka Amitani, Akihiro Asakawa

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Marigold: a machine learning-based web app for zebrafish pose tracking by Gregory Teicher, R. Madison Riffe, Wayne Barnaby, Gabrielle Martin, Benjamin E. Clayton, Josef G. Trapani, Gerald B. Downes

“…Abstract Background High-throughput behavioral analysis is important for drug discovery, toxicological studies, and the modeling of neurological disorders such as autism and epilepsy. …”
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FABLDroid: Malware detection based on hybrid analysis with factor analysis and broad learning methods for android applications by Kazım Kılıç, İsmail Atacak, İbrahim Alper Doğru

“…The Android operating system, which is popular on mobile devices, creates concerns for users due to the malware it is exposed to. Android allows applications to be downloaded and installed outside the official application store. …”
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Makna Simbolik dalam Iklan Cerdas dan Target Perilaku Khalayak by Ferdinand Eskol Tiar Sirait

“…Despite the potential for a dramatic increase for online advertisers and publishers, some users and user advocacy groups have expressed concern over the privacy concerns posed by behavioral targeting…”
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Bibliometric Analysis on ChatGPT Research with CiteSpace by Dongyan Nan, Xiangying Zhao, Chaomei Chen, Seungjong Sun, Kyeo Re Lee, Jang Hyun Kim

“…Seventh, the major themes in the ChatGPT area were “data processing using ChatGPT”, “exploring user behavioral intention of ChatGPT”, and “applying ChatGPT for differential diagnosis”. …”
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Research on multi-dimensional iOS privacy disclosure evaluation model by Yue-xiu XING, Ai-qun HU, Yong-jian WANG, Ran ZHAO

“…The existing iOS platform is lacking ofsystematic assessment methods of privacy leak detection.To solve this problem,a multi-dimensional iOSprivacy disclosure evaluation model was presented.This model combined static analysis,dynamic analysis and network data analysis method to extract the features of the application’s pri-vacy disclosure behavior and evaluate it form multiple dimensions way.The model on 30 different types of apps from the iOS App Store and found out that more than 50% of all investigated apps aretracking users’ locations were evaluated,almost 40% of all send data to a server without the user’s consent.The model makes up for the limitations of single static analysis or dynamic analysis methods,solves the quantization problem of privacy disclosure effectively.…”
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Exploring the influence of “keeping consumers in suspense” in live streaming on consumer impulse buying behavior: A test of the mediating effects of consumer inner states by Xiangxi Kong, Ren Wang, Yuyang Zhang

“…Still, its impact on consumer inner states and behaviors remains underexplored. Objective: This study examines the influence of KCIS on consumer impulse buying behavior, focusing on the mediating roles of value perception and expectation perception. …”
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Digital circuit for switch contact bounce analysis by A. A. Ivaniuk, D. O. Mozhejko

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Determining AI-Based Learning Adoption Model for Students in Entrepreneurship Education: A Design Thinking Approach by Cep Abdul Baasith Wahpiyudin, Sabda Alam Muhammadan, Riska Amalia, Adelia Chrisanta, Asep Taryana

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Formal Description of Trusted Bebavior Oriented Security System for Big Data by Zhi Yan, Jing Zhan

“…According to the abstract behavior model, behaviors were divided into trusted behavior and malicious behavior and security analysis on each operation was given. …”
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THE PRESENTATION OF SELF IN THE ONLINE SOCIAL NETWORK by A. A. Shirmazanyan

“…Case-study analysis of the standard form of VK-user profile allowed to learn the features of communication tools of the social network that on the whole are used for exchanging self-presentation data between its users. …”
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Multimedia: multimodal mediation analysis of microbiome data by Hanying Jiang, Xinran Miao, Margaret W. Thairu, Mara Beebe, Dan W. Grupe, Richard J. Davidson, Jo Handelsman, Kris Sankaran

“…Despite these advances, existing software’s rigid assumptions often result in users viewing mediation analysis as a black box. …”
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A Study of Determining Factors Influencing the Intention of Cryptocurrency Investors Using UTAUT 2 Approach by Ladia Puspanegara, Jono M. Munandar, Bagus Sartono

“…“The data were analyzed using two methods,“descriptive statistical analysis and SEM (Structural Equation Modeling).”The research findings indicate that several variables such as price value, social influence, hedonic motivation, performance expectancy, effort expectancy, and facilitating conditions have a positive and significant influence on BI (Behavioral Intention).”Additionally, the perceived risk variable has a negative and significant influence on behavioral intention. …”
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FINANCIAL PERFORMANCE ANALYSIS OF THE COMPANY THROUGH PROFITABILITY RATIOS by Mihaela SUDACEVSCHI, Viorica Mirela ŞTEFAN-DUICU

“…The strengths and weaknesses of the company are identified in the performance evaluation stage specific to financial management, resulting in an analysis of behavior and identifying methods to improve activities.…”
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Feature importance analysis for spammer detection in Sina Weibo by Yu-xiang ZHANG, Yu SUN, Jia-hai YANG, Da-lei ZHOU, Xiang-fei MENG, Chun-jing XIAO

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Multi-model based behaviour analysis for inclusive mobility by Vanderhaegen Frédéric, Richard Philippe

“…These scenarios are represented with cause trees and simulated with the MissRail® platform to validate their feasibility. They involve behaviors of road users like pedestrians, car or train drivers and of Artificial Intelligence based systems like an Adaptive Cruise Control or a Lane-Keeping Assist.…”
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