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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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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Behavioral and psychological symptoms of dementia and Alzheimer’s disease progression in Down syndrome by Melissa R. Jenkins, Jamie C. Peven, Lauren Kubic, Benjamin L. Handen, Sharon J. Krinsky-McHale, Christy L. Hom, Alice Lee, Dana L. Tudorascu, Max McLachlan, Matthew Zammit, Davneet Minhas, Weiquan Luo, Charles Laymon, Joseph H. Lee, Ira Lott, Annie Cohen, Beau M. Ances, H. Diana Rosas, Florence Lai, Shahid H. Zaman, Elizabeth Head, Mark Mapstone, Bradley T. Christian, Sigan L. Hartley, the Alzheimer Biomarker Consortium - Down syndrome

“…The Reiss Screen for Maladaptive Behavior (RSMB) measured common behaviors reported in BPSD across up to four study cycles (spaced approximately 16 months apart). …”
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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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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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INTERNET MARKETING BASED ON A DATA ECOSYSTEM by S. Kolyandov, R. Radev

“…This report examines the first step towards the implementation of Marketing 5.0, namely the use of data sets for informed decision-making by business organizations. …”
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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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Updating data on cognitive impairment in stroke patients by Denisa Floriana Vasilica Pîrșcoveanu, Carmen Valeria Albu, Elena Anca Târtea, Iulia Cristina Mărginean, George Alexandru Iacob, Elena Pinoșanu, Anca Maria Țucă, Cristina Maria Mărginean, Raluca Elena Sandu, Mircea Pîrșcoveanu

“…This review presents recent data related to the etiological and risk factors of cognitive decline after stroke, the associated neuropsychological and behavioral changes, the clinical forms/diagnosis and general principles of vascular dementia therapy. …”
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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

“…ABSTRACT Mediation analysis has emerged as a versatile tool for answering mechanistic questions in microbiome research because it provides a statistical framework for attributing treatment effects to alternative causal pathways. Using a series of linked regressions, this analysis quantifies how complementary data relate to one another and respond to treatments. …”
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Online Purchase Behavior Prediction Model Based on Recurrent Neural Network and Naive Bayes by Chaohui Zhang, Jiyuan Liu, Shichen Zhang

“…The RNN-NB model is trained and tested using 3 million time series data with purchase behavior provided by the Ali Tianchi big data platform. …”
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FACTORS RELATED TO TWO-WHEELED SAFETY RIDING BEHAVIOR AT PRODUCTION PLANNING WORKERS AT PT. YUASA BATTERY INDONESIA IN 2021 by Siti Rachmawati Khoirunnadhira Irawan, Eka Cempaka Putri, Decy Situngkir, Fierdania Yusvita, Mirta Dwi Rahmah Rusdy

“…Data collection used primary and secondary data obtained from questionnaires and companies regarding the number and causes of traffic accidents that occurred to workers as well as records related to the implementation of safety riding training. …”
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MILLENNIAL FINANCIAL ATTRIBUTES: STRUCTURAL MODELLING APPROACH by Lukmanul Hakim, Ridha Syafitri

“…The data analysis technique used is Structural Equation Modeling (SEM). …”
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Analysis of Employee Safety Behavior at PT BTUB to Achieve Zero Workplace Accidents by Murtasiyah Murtasiyah, Muslimin Sanafi

“…These behaviors were systematically analyzed through a descriptive quantitative approach, integrating observational data and company safety reports. …”
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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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Relationship between self-care and health-related behaviors among Korean adults: a cross-sectional study by EunJung Lee, Jin A Jang, Ji-Myung Kim

“…Objectives This study investigated the relationship between self-care and health-related behaviors such as medication use, dietary supplementation, dietary habits, and physical activity among Koreans aged 20–60 years. …”
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