Internet Freedom and the Impact of Social Media: Political Buzzer Behavior In Indonesia And Thailand by Iradhad Taqwa Sihidi, Ach. Apriyanto Romadhan, Salahudin Salahudin, Eko Rizqi Purwo Widodo

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Influence of Tiktok Social Media On Student Behavior At MTsN Nurul Huda by Wahyu Nugroho Nugroho, Yulia Alhusna, Tiyara Tiyara, Mahpudz Thoha

“…The data collection technique uses pearson product moment correlation by collecting data using a questionnaire or in the form of a questionnaire with 10 statement questions. …”
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Awareness of Consumer: Consumer Purchase Intention and Purchase Behavior towards Halal Products by Devi Yulia Rahmi, Fikri Alwi, Ratni Prima Lita, Fatma Poni Mardiah

“…Data were analyzed using the PLS-SEM (Partial Least Square-Structural Equational Modeling) method. …”
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The Comparative Behavior of Undisturbed Soft Clay Results Based on Photogrammetry and Numerical Simulation by Yi Zhang, Jungang Liu, Chunmei Mu, Zhibo Qiao, Mingliang Fan, Chunfan Liu

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Consumers’ Vulnerability and E-commerce purchase behavior: A serial mediation model by Thu Thuy Nguyen, Hong Tam Nguyen, Anh Vu Nguyen, Phuong Thao Tran, Hong Nhung Mai, Thi Van Anh Pham

“…The quantitative study uses data from a questionnaire survey with 364 valid responses. …”
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Economic Peaks and Value-at-Risk Analysis: A Novel Approach Using the Laplace Distribution for House Prices by Jondeep Das, Partha Jyoti Hazarika, Morad Alizadeh, Javier E. Contreras-Reyes, Hebatallah H. Mohammad, Haitham M. Yousof

“…These metrics capture different facets of the tail behavior, which is essential for comprehending the extreme median values in the Boston house price data. …”
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Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

“…Traditional YOLO models often have problems of missed detection and insufficient feature processing when dealing with complex scenes, especially when facing large-scale data sets. In order to solve this problem, this paper improves on the basis of YOLOv8 and uses a lighter Mobilenetv3 as the backbone network to replace the original CSPDARKNET53 to reduce the amount of calculation and improve the processing speed. …”
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Exploring justice perceptions in online banking recovery: gender moderation and behavioral outcomes by Attia Abdelkader Ali, Andreia Gabriela Andrei, Felipe Ruiz-Moreno, Luigi Zingone

“…It focuses on the three dimensions of perceived recovery justice – namely, distributive justice (DJ), procedural justice (PJ), and interactional justice (IJ) – and investigates their impact on post-recovery satisfaction (PRS), the moderating effect of gender, and further, the influences of PRS on customer trust (CT), affective commitment (AFFC), and customers’ behavioral intentions (CBI). The study uses partial least squares structural equation modelling to examine the data collected in Egypt from 445 respondents who experienced a service failure with online banking. …”
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The influence of perceived landscape value on tourists' behavioral intentions in historical and cultural blocks. by Jiaojiao Du, Yilei Wang

“…By collecting multi-source data such as online texts, tourist questionnaires, and interviews, and employing qualitative analysis and structural equation modeling as quantitative analysis methods, the study reveals the structural relationship between landscape value perception, place identity, and tourist behavioral intentions: (1) Landscape value perception has a significant positive effect on tourist behavioral intentions; (2) Landscape value perception has a significant positive effect on place identity; (3) Place identity, as a mediating variable, does not mediate the relationship between ecological landscape value perception and skill education value perception, but partially mediates the relationship between historical cultural value perception and recreational value perception. …”
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Rideshare mode potential in non-metropolitan areas of the northeastern United States by Brian Ho-Yin Lee, Lisa Aultman-Hall, Matthew Coogan, Thomas Adler

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Industrial multi-machine data aggregation, AI-ready data preparation, and machine learning for virtual metrology in semiconductor wafer and slider production by Feiyang Ou, Julius Suherman, Chao Zhang, Henrik Wang, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

“…In this paper, we address AI-Ready data for a virtual metrology solution focused on etching measurement PASS/FAIL classification and milling depth prediction regression tasks using operational data from production machine tools. …”
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Cultivating Morals in the Formation of Behavior Student at MTsN 1 Bengkulu City by Irwan Satria

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How Organizational Citizenship Behavior Stimulant: Transformational Leadership Identification Model Approaches by Mochamad Soelton, Agus Arijanto, Yanto Ramli, Suprapto, Irmayunita, Subur Karyatun, Anees Janee Ali

“…Design/methodology/approach: The data collection method uses a survey method, with the research instrument in the form of a questionnaire. …”
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Impact of hospital complaint handling on promoting high-quality development of hospitals via an emotional language analysis model: a case study of a tertiary hospital service cente... by Caijiao Zheng, Yi Zhang, Xiaolong Lian, Jinxiu Ke, Hongxia Chen, Yiwen Chen

“…Finally, a sentiment analysis model and an improved KANN-DBSCAN clustering model were applied to complaint data to precisely identify sentiment-related keywords and assess the intensity of negative emotions, providing hospitals with targeted improvement recommendations.ResultsThis study applied the DISC behavioral model to medical complaints. …”
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What Helps to Detect What? Explainable AI and Multisensor Fusion for Semantic Segmentation of Simultaneous Crop and Land Cover Land Use Delineation by Saman Ebrahimi, Saurav Kumar

“…This study introduces two novel explainable AI frameworks, Interclass-Grad-CAM and Spectral-Grad-CAM, designed to enhance the interpretability of semantic segmentation models for Crop and Land Cover Land Use (CLCLU) mapping. Interclass-Grad-CAM provides insights into interactions between land cover classes, revealing complex spatial arrangements, while Spectral-Grad-CAM quantifies the contributions of individual spectral bands to model predictions, optimizing spectral data use. …”
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State of Charge Estimation in Li-Ion Batteries Using a Parallel LSTM-Based Approach: The Impact of Modeling Based on Operating States by Osman Ozer, Hayri Arabaci

“…As SOC cannot be directly measured, it must be estimated using several methods. Deep learning has emerged as one of the most widely used approaches in machine learning. …”
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MANAGING ORGANIZATIONAL BEHAVIOR IN INCREASING EMPLOYEE ENGAGEMENT BASED ON SACRED MOTIVATION IN PESANTREN by Fathor Rosi, Uswatun Hasanah, Moh Rofiki

“…Collecting data using observation techniques, in-depth interviews, and documentation. …”
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Characterizing movement patterns of killer whales along the Norwegian coast by Emma F. Vogel, Meghan A. Van Ruiten, Ingvild Ytterhus Utengen, Martin Biuw, Audun H. Rikardsen

“…Conclusions Classifying the tracking data into five candidate modes that incorporate absolute space use expanded the dimensions of analysis and revealed the finer-scale movement and behavioral patterns among individuals and across their habitats. …”
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University entrepreneurial support and green entrepreneurial behavior: a quantitative serial mediation by Nimit Soonsan, Hiran Prasankarn, Piangjit Tanticharatwarodom, Jiraporn Prasankarn, Zulfiqar Ali Jumani

“…Employing a quantitative methodology, data from 338 Thai entrepreneurs were collected through a structured survey using convenience sampling techniques. …”
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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

“…In the first phase, duplicate records were removed, and the data was numerically encoded via Python version 3.11; then, the data was analyzed using chi-square and Fisher’s exact tests in SPSS version 22 software to identify the factors influencing suicidal behavior mortality. …”
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