Numerical investigation on the effect of hydrothermal behavior of flow dynamics for PEM fuel cell by Abubakar Unguwanrimi Yakubu, Meng Kai, Liu Qingsheng, Jiahao Zhao, Xuanhong Ye, Qi Jiang, Shusheng Xiong

“…The model incorporates forced convection in reactant flow channels and cooling circuits and the volume of fluid (VOF) technique for two-phase flow behavior description. The optimization of some primary operating parameters, like temperature, relative humidity, and stoichiometry, is emphasized to ensure optimum water management and thermal efficiency in the study. …”
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Personal, environmental and behavioral predictors associated with online fraud victimization among adults. by Vimala Balakrishnan, Umayma Ahhmed, Faris Basheer

“…Specifically, three factors were identified-Self-awareness (Personal), Attitude (Personal and Environment) and Safe Practice (Behavior) as the potential predictors for online fraud victimization. …”
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Epigenetic clocks as mediators of health behaviors and mortality in middle-aged and older adults by Xing-Ling Chen, Qiang-Qiang Zhao, Sheng-Rong Lin, Xing-Ling He, Xiao-Jiao Zhang, Si-Jing Li, Zi-Ru Li, Jia-Hui Chen, Hua Zhang, Xiao-Fang Li, Yue-Hui Zhou, Hui-Li Liao, Shu-Ning Sun, Zhong-Qi Yang, Shi-Hao Ni, Lu Lu

“…Conclusions: These findings suggest that comprehensive adherence to healthy lifestyle behaviors is associated with reduced epigenetic aging, supporting their potential utility as targets for mortality risk mitigation. …”
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Editorial: Reward processing in motivational and affective disorders, volume II by Frank Ryan, Poornima Kumar, Nikolina Skandali, Brendan D. Adkinson

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Loneliness moderates the predictive effect of the trait-state FoMO pathway on problematic social media use by Rocco Servidio, Francesco Craig, Paolo Soraci, Stefano Boca, Renato Pisanti, Zsolt Demetrovics, Mark D. Griffiths

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Separable neural signals for reward and emotion prediction errors by Joseph Heffner, Romy Frömer, Matthew R. Nassar, Oriel FeldmanHall

“…Abstract Reinforcement learning models focus on reward prediction errors as the driver of behavior. However, recent evidence indicates that deviations from emotion expectations, termed affective prediction errors, also crucially shape behavior. …”
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Machine Learning for the Prediction of Thermodynamic Properties in Amorphous Silicon by Nicolás Amigo

“…This study integrated molecular dynamics (MD) simulations with machine learning techniques, specifically Linear, Ridge, and Support Vector Regression, to predict the thermodynamic properties of amorphous silicon (a-Si) under varying conditions. …”
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Predicting anxiety using Google and Youtube digital traces by Joshua Rochotte, Aniket Sanap, Vincent Silenzio, Vivek K. Singh

“…We also found that the semantic categories of online engagement can affect the predictive performance of the models. This study contributes to the field of computational social science and digital mental health and demonstrates the potential of using online behavior data to monitor psychological well-being and design interventions for anxiety.…”
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Ethograms predict visual fear conditioning status in rats by David C Williams, Amanda Chu, Nicholas T Gordon, Aleah M DuBois, Suhui Qian, Genevieve Valvo, Selena Shen, Jacob B Boyce, Anaise C Fitzpatrick, Mahsa Moaddab, Emma L Russell, Liliuokalani H Counsman, Michael A McDannald

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Interactive trajectory prediction for autonomous driving based on Transformer by R. Xu, J. Li, S. Zhang, L. Li, H. Li, G. Ren, X. Tang

“…<p>Trajectory planning has undergone remarkable strides in recent times, especially in the behavior prediction of traffic participants. Given that strong coupling conditions such as pedestrians, vehicles, and roads restrict the interactive behavior of autonomous vehicles and other traffic participants, it has become critical to design a trajectory prediction algorithm based on traffic scenarios for autonomous-driving technology. …”
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Model Predictive Control for Six-Phase Induction Machines with Insight into Past Current Errors by Juan Carrillo-Ríos, Ignacio González-Prieto, Ángel González-Prieto, Mario J. Durán, Juan José Aciego

“…With this issue in mind, this work firstly performs a detailed analysis about the behavior of each cost function term in a standard MPC. …”
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Traffic Optimization Through Waiting Prediction and Evolutive Algorithms by Francisco García, Helena Hernández, María N. Moreno-García, Juan F. de Paz Santana, Vivian F. López, Javier Bajo

“…Traffic simulators allow obtaining accurate estimates of traffic behavior by applying different timing configurations, but require considerable computational time to perform validation tests. …”
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Conformal prediction for uncertainty quantification in dynamic biological systems. by Alberto Portela, Julio R Banga, Marcos Matabuena

“…Uncertainty quantification (UQ) is the process of systematically determining and characterizing the degree of confidence in computational model predictions. In systems biology, and particularly with dynamic models, UQ is critical due to the nonlinearities and parameter sensitivities that influence the behavior of complex biological systems. …”
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Performance evaluation of forecasting strategies for building occupancy prediction by Maniar Amine, Delahoche Laurent, Chrifi-Alaoui Larbi, Zegrari Mourad, Mohamed Hamlich, Marhic Bruno, Masson Jean-Baptiste

“…Occupant behavior has been identified as a key factor affecting energy usage in buildings. …”
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Crack-Depth Prediction in Steel Based on Cooling Rate by M. Rodríguez-Martín, S. Lagüela, D. González-Aguilera, P. Rodríguez-Gonzálvez

“…This paper proposes a new methodology to obtain an accurate crack-depth prediction model based on the combination of infrared thermography and the 3D reconstruction procedure. …”
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Lifetime Prediction of Single Crystal Nickel-Based Superalloys by Çağatay Kasar, Utku Kaftancioglu, Emin Bayraktar, Ozgur Aslan

“…This study investigates the fatigue life prediction of CMSX-4 using a combination of crystal plasticity and lifetime assessment models. …”
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Simplified kinetic modeling for predicting the stability of complex biotherapeutics by Mitja Zidar, Stefano Cucuzza, Matjaž Bončina, Drago Kuzman

“…Abstract Stability studies are vital in biologics development, guiding formulation, packaging, and shelf life determination. Traditionally, predicting long-term stability based on short-term data has been challenging due to the complex behavior of biologics. …”
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Large earthquakes are more predictable than smaller ones by Patricio Venegas-Aravena, Davide Zaccagnino

“…Our findings suggest that the chaotic behavior of seismic dynamics, that is, its sensitivity to initial and boundary conditions, is inversely related to its magnitude. …”
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Exfoliation Corrosion and Pitting Corrosion and Their Role in Fatigue Predictive Modeling: State-of-the-Art Review by David W. Hoeppner, Carlos A. Arriscorreta

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Development and Validation of a Predictive Model for Anxiety Trajectories in Patients with Breast Cancer: A Retrospective Study by Li X, Wei BK, Li F, Yan HH, Shen J

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