Enhanced data-driven shear strength predictive modeling framework for RCDBs using explainable boosting-based ensemble learning algorithms coupled with Bayesian optimization by Imad Shakir Abbood, Noorhazlinda Abd Rahman, B.H. Abu Bakar

“…This research aims to present a novel data-driven predictive framework for the SS of RCDBs using an explainable ML approach and incorporating a large database compilation of 950 experimental specimens with different web reinforcement. …”
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An Ecological Analysis of HPV Vaccination in the United States Before and During the COVID‐19 Pandemic by Age, Sex, and Urbanicity Using Private Insurance Claims Data by Milkie Vu, Jingjing Li, Kai Hong, Jennifer W. Kaminski, Bo‐Hyun Cho, Yoonjae Kang

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Agricultural waste recycling by farmers: A behavioral study by Pouria Ataei, Hamid Karimi, Zeynab Hallaj, Meysam Menatizadeh

“…It can be concluded that CADM is a robust instrument for predicting farmers’ behavioral process for agricultural waste recycling, and policymakers and officials of the agricultural sector can use it to enhance farmers’ decision process.…”
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Reader Responses to Online Reporting of Tagged Bird Behavior by Louise Hayward

“…These were subsequently removed by conspecifics, an example of ‘rescue behavior’ that was recounted in several media outlets. …”
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Bond-Slip Behavior between Plastic Bellow and Concrete by Eryu Zhu, Teng Li, Haoran Liu, Chunqi Zhu, Lei Liu, Yuanyuan Tian, Yujie Li, Wei Yang

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Evaluating the Relationship Between Vegetation Status and Soil Moisture in Semi-Arid Woodlands, Central Australia, Using Daily Thermal, Vegetation Index, and Reflectance Data by Mauro Holzman, Ankur Srivastava, Raúl Rivas, Alfredo Huete

“…In this study, we investigated vegetation water responses to in situ root zone soil moisture (SM) variations in savanna woodlands (Mulga) in Central Australia using satellite-based optical and thermal data. Specifically, we used the Land Surface Water Index (LSWI) derived from the Advanced Himawari Imager on board the Himawari 8 (AHI) satellite, alongside Land Surface Temperature (LST) from MODIS Terra and Aqua (MOD/MYD11A1), as indicators of vegetation water status and surface energy balance, respectively. …”
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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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Online fashion consumerism among women: The interplay of digital experiences and decision-making – a mediated moderated analysis by Madhura K., Niyaz Panakaje, S. M. Riha Parvin, Shakira Irfana, Mural Henrita Cutinha, Yatheen A, Rovina Sharon Soans

“…Attitude acts as a strong mediator, with its effect on buying behavior showing a β coefficient of 0.609. However, challenges like concerns over data privacy and difficulties in verifying review authenticity negatively affect the attitude-behavior relationship, with a moderating effect of β = -0.092. …”
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Examining trip-level errors in passively collected mobile device data for data quality assurance. by Peiqi Zhang, Kathleen Stewart, Aref Darzi

“…Location-based service (LBS) data passively collected by mobile devices has been widely adopted in multiple fields for its advantages in revealing travel behaviors. …”
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Conceptual framework for data harmonisation in mental health using the International Classification of Functioning, Disability and Health: an example with the R2D2-MH consortium by Louise Gallagher, Tony Charman, Dieter Wolke, Jan Buitelaar, Sven Bölte, Emily Jones, Thomas Bourgeron, Marie Schaer, Kristien Hens, Declan Murphy, Melissa H Black, Christine Ecker, Yair Sadaka, Beate St Pourcain, Stef Bonnot-Briey

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Cotinine Testing as a Component of Screening for Tobacco use Cotinine Testing as a Component of Screening for Tobacco use in a Pediatric Hospital by Kelsey K. Schmuhl, Alexander S. Golec, Andrea E. Bonny, Brittny E. Manos, Ashley L. Merianos, Samuel W. Stull, Ashley M. Ebersole

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Decision-making and data quality: Applying fraud response strategies to clean survey panel data by Amy Harder, Lendel K. Narine, Stacey Stearns

“…Paid data panels are particularly useful for gathering unbiased feedback about Extension programs. …”
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Parenting styles and its relation with children behavioral problems by Seyede Zahra Shafipour, Ali Sheikhi, Mahshid Mirzaei, Ehsan KazemnezhadLeili

“…Parenting styles play an important role in the formation of abnormality and normal personality behavior in children. The use of adaptive styles in children can lead to many negative consequences, including behavioral problems. …”
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Humoral regulation of eating behavior: established and new concepts by E. A. Ljaljukova, Z. A. Beslangurova, A. Ya. Chamokova, A. A. Halashte, Yu. Yu. Migunova

“…The purpose of the review is to present new scientific data on neurohumoral mechanisms in the formation of eating behavior.…”
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A Concise Dataset for Intelligent Behaviors in Domestic Tasks by Marlon de Oliveira Vaz, Ronnier Frates Rohrich, Joao Alberto Fabro, Andre Schneider de Oliveira

“…The dataset is produced using an automatic multicapture device that gathers RGB images, stereo information, depth images, and point-cloud data. …”
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Data on the effect of wood-based panel-emitted volatile organic compounds on miceMendeley Data by Inho Hwang, Kangmin Kim, Sun-Hwa Ryu, Changhwan Ahn, Xiang-Shun Cui, Eui-Bae Jeung

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Preventive Behaviors Related to Women\'s Genital Tract Infections by Azizeh Farshbaf Khalili, Sedigheh Rezaie-chamani, Simin Seidi, Somayeh Ziyadi

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Study on Fractal Multistep Forecast for the Prediction of Driving Behavior by Longhai Yang, Hong Xu, Xiqiao Zhang, Shuai Li, Wenchao Ji

“…The application and development of new technology make it possible to acquire real-time data of vehicles. Based on these real-time data, the behavior of vehicles can be analyzed. …”
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Study on user behavior profiling in insider threat detection by Yuanbo GUO, Chunhui LIU, Jing KONG, Yifeng WANG

“…Behavior profiling technic using no-labeled historical data to build normal behavior model is an effective way to detect insider attackers. …”
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Review of Research on Trajectory Prediction of Road Pedestrian Behavior by YANG Zhiyong, GUO Jieru, GUO Zihang, ZHANG Ruixiang, ZHOU Yu

“…Pedestrian trajectory prediction not only relies on historical behavior data but also requires a comprehensive consideration of the complex dynamic interactions between pedestrians and vehicles, traffic infrastructure, and multi-directional vehicles. …”
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