ACC representations of reward-driven motivation over hierarchically-organized behavior by Emmanouela Foinikianaki, Iris Ikink, Thomas R. Colin, Ricardo J. Alejandro, Clay B. Holroyd

“…The neural mechanisms of reward-guided behavior have been researched extensively but how rewards affect the neural processes underlying the production of hierarchically-organized sequential behaviors remains unclear. …”
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Constitutive models for the thermo-mechanical and dynamic behavior of high-density polyethylene by A. Alhourani, I. Barsoum, S. Deveci, J. Sheikh-Ahmad, A. Abdelgawad

“…The numerical results demonstrate that the TN model is superior in predicting the mechanical response and damage behavior of HDPE, in comparison with the JC and TNV constitutive and damage models. …”
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Behavior-Interior-Aware User Preference Analysis Based on Social Networks by Can Wang, Tao Bo, Yun Wei Zhao, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang, Min Shu

“…Thus, integrating multiple behavior dimensions together into some numerical measures to form a more comprehensive view for subsequent prediction processes becomes a pivotal issue. …”
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THE BORDER BETWEEN BUSINESS INTELLIGENCE AND PSYCHOLOGY- SEGMENTATION BASED ON CUSTOMER BEHAVIOR by Student Codrin POPA, Iulia BERTEA

“…Under these conditions, it has become imperative for managers and for marketing professionals to invest in business intelligence in order to find patterns in the consumers’ behavior that could predict their future buying decisions. …”
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Thermo-mechanical coupling behavior of needle-punched carbon/carbon composites by Han Meng, Zhang Xingyu, Wang Zhichao, Silberschmidt Vadim V., Bi Qinsheng

“…A thermo-mechanical coupling model is proposed to predict the residual strength of oxidized bundles. …”
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Research on Management and Control of Miners’ Unsafe Behavior Based on Gray Theory by Shuicheng Tian, Guangtong Shao, Hongxia Li, Pengfei Yang, Qingxin Dang, Fujing Yuan

“…Then, GM (1, 1) method was used to establish a predicted model for unsafe behavior, to predict the number of unsafe behaviors in violating labor discipline in next quarter, and to determine reasonable unsafe behavior control target. …”
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Modeling Static Behavior of Rockfill Materials Based on Generalized Plasticity Model by Shihai Bian, Bo Wu, Yongzheng Ma

“…These works covers the most common stress paths related to the construction of earth-rock dams and can capture static behavior of rockfill materials.…”
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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 review highlights the utility of various ML approaches in classifying activity levels and significantly improving the prediction of sedentary behavior, offering a promising approach to address this widespread health issue.ConclusionML algorithms, including supervised and unsupervised models, show great potential in accurately detecting and predicting sedentary behavior. …”
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Mathematical Modeling and Parameter Estimation of Lane-Changing Vehicle Behavior Decisions by Jianghui Wen, Yebei Xu, Min Dai, Nengchao Lyu

“…Lane changing is a crucial scenario in traffic environments, and accurately recognizing and predicting lane-changing behavior is essential for ensuring the safety of both autonomous vehicles and drivers. …”
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Inverse Analysis of UHPFRC Beams with a Notch to Evaluate Tensile Behavior by Seong-Cheol Lee, Han-Byeol Kim, Changbin Joh

“…Although benefits with UHPFRC were investigated through experimental program, it is difficult to predict structural behavior of UHPFRC members since theoretical approaches are limited. …”
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Predictors of Psychological Well-Being during Behavioral Obesity Treatment in Women by Paulo N. Vieira, Jutta Mata, Marlene N. Silva, Sílvia R. Coutinho, Teresa C. Santos, Cláudia S. Minderico, Luís B. Sardinha, Pedro J. Teixeira

“…Middle-aged overweight/obese women (n=239) participated in a 1-year behavioral program and completed questionnaires measuring need support, general self-determination, and exercise and treatment motivation. …”
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Psychological resources as predictors of emotional and behavioral issues in young University students by María Elena Rivera Heredia, Irma María Niebla Guzmán, Xolyanetzin Montero Pardo

“…Objective: To identify the psychological resources that can predict emotional and behavioral issues in young people. …”
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The Behavior of a Coarse Granular Material under Complex Stress Conditions by Yuefeng Zhou, Jiajun Pan, Zhanlin Cheng, Yongzhen Zuo

“…In dam construction, the mechanical behavior of coarse granular material greatly affects the compatible deformation of dam body. …”
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Optimizing Reinforcement Strategies for Improved Flexural Behavior in Reinforced Concrete Walls by Ahmed Yahia, Magdy Tayel, Khalid Heiza, Ghada Hekal

“…The study concluded by employing nonlinear 3D finite element analysis in the ABAQUS program to predict the behavior of reinforced concrete shear wall test specimens subjected to a combination of axial and lateral forces, achieving predictions of acceptable accuracy. …”
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Settling behavior of microplastic hetero-aggregates in aquatic environments with varying salinity by Min Li, Jing Ou, Zhihe Chen

“…Herein, a reduction coefficient was used to revise the settling velocity formula and predict the measured values with higher accuracy. …”
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Investigating the probabilistic behavior of reference evapotranspiration using Vine tree sequence by Aliheidar Nasrolahi, Mohammad Nazeri Tahroudi, Yaser Sabzevari

“…Therefore, it is necessary to determine and predict its changes in each region. In this study, using copula functions, the behavior and changes of this component were investigated in the west of Iran. …”
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Altered neural and behavioral dynamics in Huntington's disease: an entropy conservation approach. by S Lee Hong, Scott J Barton, George V Rebec

“…Our results support the entropy conservation hypothesis in which unpredictable behavioral patterns are coupled with more predictable brain activation patterns, suggesting that this may be a fundamental process unaffected by HD.…”
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Analysis of overhead cost behavior: case study on decision-making approach by Petr Novák, Ján Dvorský, Boris Popesko, Jiří Strouhal

“…In this study we designed and tested several regression models that could be suitable for cost behavior prediction and subsequent decision-making based on these predictions. …”
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Machine learning in additive manufacturing——NiTi alloy’s transformation behavior by Lidong Gu, Kongyuan Yang, Hongchang Ding, Zezhou Xu, Chunling Mao, Panpan Li, Zhenglei Yu, Yunting Guo, Luquan Ren

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Laboratory study on temperature loss behavior of asphalt mixture during transportation by Tianyu Zhang, Xiang Liu, Xiao Li, Haoyuan Luo, Jingpeng Jia, Xiaolong Li

“…The BP neural network model achieved a prediction accuracy of R² = 82 %, confirming its effectiveness in forecasting temperature loss behavior in asphalt mixtures during transportation.…”
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