Bending Fatigue Behavior Analysis and Fatigue Life Prediction of Spot-Welded Steel T-Profiles: An XFEM Analysis by Murat Demiral

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Keeping up with the Joneses: interpersonal prediction errors and the correlation of behavior in a tandem sequential choice task. by Terry Lohrenz, Meghana Bhatt, Nathan Apple, P Read Montague

“…In many settings, copying, learning from or assigning value to group behavior is rational because such behavior can often act as a proxy for valuable returns. …”
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Ethical issues in the use of genetic predictions of aggressive behavior in the criminal justice system: a systematic review by Pietro Refolo, Pietro Refolo, Stefano Ferracuti, Simone Grassi, Costanza Raimondi, Giulia Mercuri, Massimo Zedda, Massimo Zedda, Giovanni Aulino, Giovanni Aulino, Antonio Gioacchino Spagnolo, Antonio Gioacchino Spagnolo, Antonio Oliva, Antonio Oliva

“…BackgroundThe use of genetic predictions of aggressive behavior in the criminal justice system remains a subject of ongoing debate. …”
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Finite-element based-prediction of the cracking-torsional behavior of prestressed concrete beams with hollow cross-sections by Bara'a R. Alnemrawi, Rajai Z. Al-Rousan

“…A new expression was proposed for predicting the ultimate and cracking torsional strengths (Tu&Tcr) for hollow prestressed beams with 0.998 and 0.012 average and standard deviation values that reveal high predictability and accuracy.…”
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Modeling and Simulation for Predicting Thermo-Mechanical Behavior of Wafer-Level Cu-PI RDLs During Manufacturing by Xianglong Chu, Shitao Wang, Chunlei Li, Zhizhen Wang, Shenglin Ma, Daowei Wu, Hai Yuan, Bin You

“…The fineness and complexity of structures, combined with the temperature-dependent and viscoelastic properties of organic materials, make it increasingly difficult to predict the thermo-mechanical behavior of wafer-level Cu-PI RDL structures, posing a severe challenge in warpage prediction. …”
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Symptomatology and Coping Resources Predict Self-Care Behaviors in Middle to Older Age Patients with Heart Failure by Lucinda J. Graven, Joan S. Grant, Glenna Gordon

“…Assessing the influence of race on self-care behaviors in middle to older age patients with HF is important. …”
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Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times by Yusi Chen, Qasim Bukhari, Tiger W. Lin, Terrence J. Sejnowski

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Predicting Sustainable Consumption Behavior from HEXACO Traits and Climate Worry: A Bayesian Modelling Approach by Stefanos Balaskas, Kyriakos Komis

“…Addressing climate change requires deeper insight into the psychological drivers of pro-environmental behavior. This study investigates how personality traits, climate-related emotions, and demographic factors can predict sustainable consumption and climate action participation using a Bayesian regression approach. …”
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Experimental investigation and prediction of tribological behavior of unidirectional short castor oil fiber reinforced epoxy composites by Rajesh Egala, G. V. Jagadeesh, Srinivasu Gangi Setti

“…Also, the tribological behavior of the composites was predicted using regression, artificial neural network (ANN)-single hidden layer, and ANN-multi hidden layer models. …”
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Acoustic behavior and time prediction method for water inrush of tunnel floor under osmotic water pressure by J.G. Wang, Z. Ma, Y.R. Cong, S. Yang

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Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors by Boryana Todorova, David Steyrl, Matthew J. Hornsey, Samuel Pearson, Cameron Brick, Florian Lange, Jay J. Van Bavel, Madalina Vlasceanu, Claus Lamm, Kimberly C. Doell

“…We use interpretable machine learning to quantify the extent to which different climate-relevant outcomes (climate change belief, policy support, willingness to share information on social media, and a pro-environmental behavioral task) are predictable and to rank 19 individual- and nation-level predictors in terms of their importance across 55 countries (N = 4635). …”
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Decision Tree-Based Maneuver Prediction for Driver Rear-End Risk-Avoidance Behaviors in Cut-In Scenarios by Manjiang Hu, Yuan Liao, Wenjun Wang, Guofa Li, Bo Cheng, Fang Chen

“…This paper studies driver rear-end risk-avoidance behaviors in cut-in scenarios on a straight three-lane highway. …”
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Prediction of influence of helical structure on shape memory behavior of thermosetting resin useing molecular dynamics simulation by Shuaijiang Ma, Qi Zhang, Xuyan Li, Jilei Xu, Ping Chen

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Creep Behavior and Its Prediction of Saturated Weakly Cemented Medium-Grained Sandstone under Multiaxial Loadings by Qingheng Gu, Guangming Zhao, Xiangrui Meng, Jian Sun, Xiang Cheng, Wensong Xu, Ruofei Zhang

“…Based on the energy dissipation theory, the damage evolution equation was modified and introduced into the Burgers model, which can accurately describe the rheological behavior of saturated medium-grained sandstone. The modified model was used to predict the crack initiation time under different deviatoric stresses, which can provide guidance for early warning of water-resisting rock stability.…”
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Remaining Driving Range Prediction of Electric Vehicles Based on Personalized Driving Behavior in Complex Traffic Scenarios by Yu Jiang, Jianhua Guo, Dong Xie, Zhuoran Hou, Jintao Deng

“…This study proposes a novel RDR prediction method for EVs that incorporates personalized driving behavior and emphasizes the influence of future route information on prediction performance. …”
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Integrating human behavior and snake ecology with agent-based models to predict snakebite in high risk landscapes. by Eyal Goldstein, Joseph J Erinjery, Gerardo Martin, Anuradhani Kasturiratne, Dileepa Senajith Ediriweera, Hithanadura Janaka de Silva, Peter Diggle, David Griffith Lalloo, Kris A Murray, Takuya Iwamura

“…Previous research has focused on statistical correlates between snakebites and ecological, sociological, or environmental factors, but the human and snake behavioral patterns that drive the spatio-temporal process have not yet been integrated into a single model. …”
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Long-Term Prediction of Biological Wastewater Treatment Process Behavior via Wiener-Laguerre Network Model by Yasaman Sanayei, Naz Chaibakhsh, Ali Chaibakhsh, Ali Reza Pendashteh, Norli Ismail, Tjoon Tow Teng

“…A Wiener-Laguerre model with artificial neural network (ANN) as its nonlinear static part was employed to describe the dynamic behavior of a sequencing batch reactor (SBR) used for the treatment of dye-containing wastewater. …”
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Unraveling the dynamics of emotional regulation and parental warmth across early childhood: prediction of later behavioral problems by Aimé Isdahl-Troye, Paula Villar, María Álvarez-Voces, Estrella Romero

“…These reciprocal cycles predicted later behavioral outcomes. Specifically, carry-over changes in ER significantly predicted both conduct and emotional problems, whereas carry-over changes in parental warmth predicted only emotional problems. …”
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Comparison of the Performance of Different Thermodynamic Models for Liquid Phase in Predicting the Phase Behavior of Hydrogen Hydrates with THF

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Bioenergetic-related gene expression in the hippocampus predicts internalizing vs. externalizing behavior in an animal model of temperament by Elaine K. Hebda-Bauer, Megan H. Hagenauer, Daniel B. Munro, Daniel B. Munro, Peter Blandino, Fan Meng, Keiko Arakawa, John D. H. Stead, Apurva S. Chitre, A. Bilge Ozel, Pejman Mohammadi, Pejman Mohammadi, Stanley J. Watson, Shelly B. Flagel, Jun Li, Abraham A. Palmer, Abraham A. Palmer, Huda Akil

“…Our results show that bHR/bLR differential gene expression is robust, surpassing sex differences in expression, and predicts expression associated with F2 behavior. In F0 and F2 samples, gene sets related to growth/proliferation are upregulated with bHR-like behavior, whereas gene sets related to mitochondrial function, oxidative stress, and microglial activation are upregulated with bLR-like behavior. …”
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