Research Electronic Data Capture (REDCap) for Population-Based Data Collection in Low- and Middle-Income Countries: Opportunities, Challenges, and Solutions by Ha Thanh Le, Dung Viet Tien Vu, Thi Ngoc Anh Nguyen, Hang Tran Thi, Tan Viet Nguyen, Thao Phuong Tran, Aria Kekalih, Samita Rijal, Dewi Friska, Raph L. Hamers, Abhilasha Karkey, Mary Chambers, Jennifer Ilo Van Nuil, Sonia Lewycka

“…This viewpoint paper aims to describe experiences during the implementation of two mixed methods studies in Vietnam, Nepal, and Indonesia, focusing on understanding lived experiences of the COVID-19 pandemic across 3 countries and understanding knowledge and behaviors related to antibiotic use in Vietnam. We present the opportunities, challenges, and solutions arising through using Research Electronic Data Capture (REDCap) for designing, collecting, and managing data. …”
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Many-Objective Truss Structural Optimization Considering Dynamic and Stability Behaviors by João Marcos P. Vieira, José Pedro G. Carvalho, Dênis E. C. Vargas, Érica C. R. Carvalho, Patrícia H. Hallak, Afonso C. C. Lemonge

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Nursing students’ knowledge, attitudes, and behaviors toward aging and ageism in Palestine by Bahaaeddin M. Hammad, Basma Salameh, Faeda A. Eqtait, Kassabry Maysa, Imad H. Fashafsheh, Ahmad J. Ayed, Mohamed E.H. Elzeky, Rasmieh Anabtawi, Mohammed F. Hayek

“…Methods A cross sectional study was conducted with a convenience sample from 334 nursing students during Spring 2024. Data were collected using a self-administered questionnaire, including the Facts on Aging Quiz (knowledge assessment), the Relating to Older People Evaluation (ageist behaviors), and Kogan’s Attitudes toward Older People Scale. …”
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Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review by Genevieve Gariepy, Rifat Zahan, Nathaniel D Osgood, Benjamin Yeoh, Eva Graham, Heather Orpana

“…Reviewers extracted the data using a standardized form and assessed the quality of reporting using the STRESS (Strengthening the Reporting of Empirical Simulation Studies) guidelines. …”
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Studies on the Electrochemical Behavior of Sulfite on Incoloy 800 in a Neutral Environment by Mihaela-Alexandra Lăboșel, Andrea Kellenberger, Mircea Laurențiu Dan, Nataliia Rudenko, George-Daniel Dima, Nicolae Vaszilcsin

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Effect of Educational Program to Encourage Safe Sexual Behaviors Among Addicted Men Refered to Substance Abuse Treatment Centers in Hamadan, Western Iran: Applying the Theory of Pl... by Babak Moeini, Seyed Mohammad Mahdi Hazavehei, Saeed Bashirian, Alireza Soltanian, Amir Abbas Mousali, Vahid Kafami

“…Data was analyzed using independent T-test, chi-square, fisher exact test, McNemar’s test and multiple linear regressions using SPSS-16. …”
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Machine learning applications in the analysis of sedentary behavior and associated health risks by Ayat S Hammad, Ayat S Hammad, Ali Tajammul, Ismail Dergaa, Ismail Dergaa, Ismail Dergaa, Maha Al-Asmakh, Maha Al-Asmakh

“…The search included the subject terms “sedentary behavior,” “sedentary lifestyle health,” and “machine learning sedentary lifestyle,” combined with the keywords “physical inactivity” and “diseases” using Boolean operators (AND, OR). …”
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Synchronous and anti-phase drumming elicit similar prosocial behavior ratings by Sean McWeeny, Sean McWeeny, Adam C. Luoma, Yaseen Al-Saleem, Laurel J. Trainor, Laurel J. Trainor

“…Questionnaire items were analyzed using Bayesian probit mixed effects models to account for dyadic sampling and ordinal data, and to provide evidence in favor of the null hypothesis. …”
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Neural Network-Based Safety Analysis of Driving Behavior in Desert Areas by Fang Wang, Siping Huang, Weiguo Sun, Shixiao Liu, Huan Zhang

“…This paper relies on the desert environment real-vehicle test to study the correlation between drivers’ EEG data and driving behavior under different road alignments and different sand thicknesses, constructs behavioral spectra, uses K-means to classify dangerous driving behaviors into four grades, and applies MATLAB software to construct the BP and RBF neural network recognition model. …”
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Linking cognitive and behavioral reserve: Evidence from the CAN‐PROTECT study by Dylan X. Guan, Moyra E. Mortby, G Bruce Pike, Clive Ballard, Byron Creese, Anne Corbett, Ellie Pickering, Adam Hampshire, Pamela Roach, Eric E. Smith, Zahinoor Ismail

“…METHODS We analyzed cross‐sectional data from 1204 participants in the Canadian Platform for Research Online to Investigate Health, Quality of Life, Cognition, Behavior, Function, and Caregiving in Aging (CAN‐PROTECT) study. …”
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Autism, intelligence, language, and adaptive behavior, disentangling a complex relationship by Chiara Failla, Chiara Failla, Ileana Scarcella, Ileana Scarcella, Noemi Vetrano, Noemi Vetrano, Serena Previti, Rita Mangano Mangano, Gennaro Tartarisco, David Vagni, Giovanni Pioggia, Flavia Marino

“…Parent-reports using the Vineland Adaptive Behavior Scale (VABS-II) were compared with standardized assessments from the PsychoEducational Profile (PEP-3). …”
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Flexural behavior of RC beams strengthened with CFRP sheets and ECC layers by Xiaobing Hou, Ziyi Song, Han Song, Xingyao Wang, Junhua Guo, Songqiang Wan, Jingli Yang, Hongbo Xiao, Yanfen Gong, Long Liu

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The effectiveness of group emotion regulation training on feeling shame and coping strategies of self-injury adolescents by Tayebeh Vafaei, Seyed Abdolvahab Samavi, Samaneh Najarpourian

“…The experimental group received Gratz’s emotion regulation group therapy, but the control group did not receive any training. Data were analyzed using multivariate analysis of covariance. …”
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Social media stars: how influencers shape consumer’s behavior on Instagram by Hamza Kaka Abdul Wahab, Faizan Alam, Eva Lahuerta-Otero

“…Originality/value – Through an examination of the complex mechanisms underlying social media influencer advertisements on an e-commerce platform, namely, Instagram, this research uncovered the essence of customer behavior in the digital era, including the human need for connection, authenticity and trust, thus contributing to the literature empirical data from Africa, a region often overlooked in academic studies. …”
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Family financial education and financial management behavior among Generation Z: integrating the theory of planned behavior and technology acceptance model to explore the importanc... by Muhammad Hasan, Asriani, Muhammad Ihsan Said Ahmad, Tuti Supatminingsih, Muhammad Dinar, Masnawaty Sangkala, Abd. Rahim, Sitti Hajerah Hasyim, Hariany Idris

“…Data were obtained from 700 Generation Z student respondents who were determined using the proportional stratified random sampling technique. …”
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A Cloud-Based Platform for Harmonized COVID-19 Data: Design and Implementation of the Rapid Acceleration of Diagnostics (RADx) Data Hub by Marcos Martínez-Romero, Matthew Horridge, Nilesh Mistry, Aubrie Weyhmiller, Jimmy K Yu, Alissa Fujimoto, Aria Henry, Martin J O'Connor, Ashley Sier, Stephanie Suber, Mete U Akdogan, Yan Cao, Somu Valliappan, Joanna O Mieczkowska, Ashok Krishnamurthy, Michael A Keller, Mark A Musen

“…The platform integrates heterogeneous data types—including clinical data, diagnostic test results, behavioral data, and social determinants of health—submitted by over 100 research organizations across 46 US states and territories. …”
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A Predictive Model for the Shear Capacity of Ultra-High-Performance Concrete Deep Beams Reinforced with Fibers Using a Hybrid ANN-ANFIS Algorithm by Hossein Mirzaaghabeik, Nuha S. Mashaan, Sanjay Kumar Shukla

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Annual Variation Characteristics of Air Conditioning Operating Behavior and Its Impact on Model Application in Office Buildings by Xin Zhou

“…First, the AC operating behavioral model was trained in parallel using field measurement data from different years to quantitatively analyze the patterns and extent of changes in occupants’ AC operating behaviors. …”
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Application of Big Data in Air-conditioning Field by Chen Huanxin, Liu Jiangyan, Hu Yunpeng, Li Guannan

“…This paper presents the main sources of conventional air-conditioning data, which can be used for product research and industry standard development. …”
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Data traceability mechanism based on consortium chain by Shoucai ZHAO, Lifeng CAO, Xuehui DU

“…With the unprecedented growth in the speed of data generation and circulation in the era of big data, the emergence of blockchain technology provides a new solution for data authenticity verification.However, with the increasing demand for data flow between different blockchains, new security issues arise.Cross-chain data transmission can lead to data leakage, and detecting data leakage caused by illegal access becomes challenging.To address these problems, a data traceability mechanism based on a consortium chain was proposed.A cross-blockchain data traceability model was designed, incorporating private data pipelines to ensure the security of cross-chain data transmission.User behaviors were recorded through authorization and access logs, ensuring the traceability of illegal unauthorized access.To improve the efficiency of data traceability and query, an on-chain and off-chain synchronous storage mechanism was adopted.The state of data flow before each transaction was encrypted and stored in the database, and its index was stored in the blockchain transaction.This enables a one-to-one correspondence between on-chain and off-chain data.Additionally, Merkle trees were introduced into the block body to store block summaries, enhancing the efficiency of block legitimacy verification.Based on the data storage form and cross-chain data interaction mechanism, a data traceability algorithm was designed.The traceability results were displayed in the form of an ordered tree.An experimental environment for consortium chain traceability was built using fabric, targeting the cross-domain data traceability scenario in the e-commerce industry.The GO language was used to simulate and test the data traceability performance with a large number of blocks and transactions.The results demonstrate that with the increasing number of blocks and transactions, the proposed data traceability mechanism maintains satisfactory performance.…”
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