An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content by Abdur Rehman Khan, Umer Rashid, Naveed Ahmed

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Sales through note-sharing: influences on the shopping behavior of “Xiaohongshu” users by Guanghong Xie, Xiyuan Wang

“…The purpose of this study is to investigate the factors influencing online purchase intention of the “Xiaohongshu” Sales through note-sharing model from a human-computer interaction standpoint, as well as the relationships between these factors. …”
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A Cloud User Anomaly Detection Method Based on Mouse Behavior by XU Hong-jun, ZHANG Hong, HE Wei

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Dynamic behavior of a cable-stayed footbridge depending on the calculation accuracy by Kristian D‘Amico, Jiří Máca

“…There are many influences on the structure that can affect the dynamic behavior of the structure, including the non-linear behavior of the cable system. …”
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Students’ and teachers’ understanding of the WebCas questionnaire for assessing healthrelated behaviors by Rosimeide Legnani, Edina Camargo, Elto Legnani, Eliane Bacil, Nicolau Malta Neto, Wagner Campos

“…The objective of this study was to verify students’ and teachers’ understanding of the WebCas questionnaire, which aims to assess health-related behaviors. This cross-sectional, descriptive and exploratory survey used the qualitative technique of focus groups with 24 students and 6 teachers. …”
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A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior by Delwar Hossain, J. Graham Thomas, Megan A. McCrory, Janine Higgins, Edward Sazonov

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Impact of delivery and private Riders' roles on safety behavior in Marrakech Morocco by Ayoub Charef, Zahi Jarir

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Dynamics Behavior Analysis of Parallel Mechanism with Joint Clearance and Flexible Links by Chen Xiulong, Jia Yonghao, Deng Yu, Wang Qing

“…In this study, the dynamics behaviors analysis of parallel mechanism considering joint clearance and flexible links are investigated using a computational methodology. …”
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Pattern mining and prediction techniques for user behavioral trajectories in e-commerce. by Xin Wang, Dong-Feng Liu

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Abnormal Behavior Detection Using Trajectory Analysis in Camera Sensor Networks by Yong Wang, Dianhong Wang, Fenxiong Chen

“…In view of the limited power and computational capability of the camera nodes, the paper presents an abnormal behavior detection approach which is convenient and available for camera sensor networks. …”
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A Multi-Modal Dataset for Teacher Behavior Analysis in Offline Classrooms by Chenglei Huang, Jia Zhu, Yilong Ji, Weijie Shi, Min Yang, Hanghui Guo, Jianxia Ling, Pasquale De Meo, Zilong Li, Zhangze Chen

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Male bluegill vary in color and behavior relative to their position in a lek by Matthew Peroš, Lakshita Vij, Elana Anavian, Kevin Almeida Arteaga, Fatima Iya Haruna, Aliza Siegman, Wei Fang, Sebastian Gaston Alvarado, Sebastian Gaston Alvarado

“…We hypothesize that territorial position within the colony results in different body colors and behavioral profiles. To test this hypothesis, we quantified color patterns in wild communities of bluegill using computer vision, scored the behavior of lek occupying parental males, and categorically classified lek position as a function of neighboring males. …”
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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

“…The stepped isostress method (SSM) is an advanced technique which allows the prediction of the long-term behavior and enables the construction of creep master curves of materials with short-term experimental tests. …”
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Misalignment in Mechanical Interlocking Heterogeneous Integration: Emergent Behavior and Geometry Optimization by Matthew Nakamura, Corrisa Heyes, Ethan Rocheville, Kirsten Peterson, Joseph J. Brown

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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

“… The stepped isostress method (SSM) is an advanced technique which allows the prediction of the long-term behavior and enables the construction of creep master curves of materials with short-term experimental tests. …”
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Discovering structural cis‐regulatory elements by modeling the behaviors of mRNAs by Barrett C Foat, Gary D Stormo

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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…Abstract Empirical data on human evacuation behavior are invaluable for adjusting and training computational algorithms that simulate evacuation processes, including agent-based modeling. …”
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Profiling consumers’ online shopping and following social media influencers behaviors by Ming-Yi Wu

“…First, educational level, income, and age category are the important predictors for consumers’ buying things online using a desktop or laptop computer behavior.  Second, age category, geographic location (urban, suburban, rural) are the predictors for consumers’ buying things online using a smartphone behavior.  …”
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Dynamic Behaviors of a Discrete Periodic Predator-Prey-Mutualist System by Liya Yang, Xiangdong Xie, Fengde Chen

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User authentication of industrial internet based on HHT transform of mouse behavior by Yigong ZHANG, Qian YI, Jian LI, Congbo LI, Aijun YIN, Shuping YI

“…The rapid development of the industrial internet had caused widespread concern about the network security, and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet, an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals, combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree, support vector machine (SVM), Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case, with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection, the FAR was 1.47%.Compared with the traditional mouse dynamics method, the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication, and provide technical support the security of the industrial internet.…”
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