Predicting pro-environmental behavior among generation Z in Indonesia: the role of family norms and exposure to social media information by Jenny Ratna Suminar, Hanny Hafiar, Kholidil Amin, Ari Agung Prastowo

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An Integrated Hybrid-Stochastic Framework for Agro-Meteorological Prediction Under Environmental Uncertainty by Mohsen Pourmohammad Shahvar, Davide Valenti, Alfonso Collura, Salvatore Micciche, Vittorio Farina, Giovanni Marsella

“…This study presents a comprehensive framework for agro-meteorological prediction, combining stochastic modeling, machine learning techniques, and environmental feature engineering to address challenges in yield prediction and wind behavior modeling. …”
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Simulated synapse loss induces depression-like behaviors in deep reinforcement learning by Eric Chalmers, Santina Duarte, Xena Al-Hejji, Daniel Devoe, Aaron Gruber, Robert J. McDonald

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Robustness Indicators for the Impact of Occupant Behavior Uncertainty on Building Energy Consumption by Jiahui Ying, Jian Yao, Rongyue Zheng

Subjects: “…occupant behavior…”
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Predicting the impact of nurses’ perception of job involvement and ethical climate on caring behaviors: the mediating and moderating effect of job involvement—a cross-sectional study by Samira Rohaninasab, Nilofar Pasyar, Masoume Rambod

“…Nurses’ views on the hospital and patient-related ethical climate predicted caring behaviors (p < 0.05). A relationship existed between job involvement and caring behaviors (r = 0.17, p = 0.004). …”
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DEVELOPING PREDICTIVE MODELS OF INTERNET SERVICE STRATEGIES by Maxim Yu. Khramov

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Role of conscious awareness and Big Five in predicting the digital addiction by Yıldız Erzincanli, Fatma Geçikli

“…In this context, the present study aims to determine the levels of conscious awareness and digital addiction among university students and to examine the predictive effect of conscious awareness levels and Big Five variables on predicting digital addiction behaviors.MethodsThe present study is designed to employ the survey method. …”
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Modeling K12 Teachers’ Online Teaching Competency and Its Predictive Relationship with Performance—A Mixed-Methods Study Based on Behavioral Event Interviews by Jun Tian, Wenhui Tian

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Predictive Markers and Self-Perceived Health in Adolescents: An Exploration Through a School-Based Public Health Survey by José Antonio Zafra-Agea, Mireia Vilafranca-Cartagena, Daniel García-Gutiérrez, Estel·la Ramírez-Baraldes, Anna Portabella-Serra, Cristina García-Salido

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No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence by Brandon A. Kohrt, Syed Shabab Wahid, Katherine Ottman, Abigail Burgess, Anna Viduani, Thais Martini, Silvia Benetti, Olufisayo Momodu, Jyoti Bohara, Vibha Neupane, Kamal Gautam, Abiodun Adewuya, Valeria Mondelli, Christian Kieling, Helen L. Fisher

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Predicting Phenoconversion in Isolated RBD: Machine Learning and Explainable AI Approach by Yong-Woo Shin, Jung-Ick Byun, Jun-Sang Sunwoo, Chae-Seo Rhee, Jung-Hwan Shin, Han-Joon Kim, Ki-Young Jung

“…Isolated rapid eye movement (REM) sleep behavior disorder (iRBD) is recognized as a precursor to neurodegenerative diseases. …”
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National and subnational trends in obesity prevalence in Iran: a Spatiotemporal study with future predictions by Maryam Shirvani Shiri, Hassan Karami, Amin Ghanbarnezhad, Najmeh Bordbar, Ali Mouseli, Sara Emamgholipour

“…This study aimed to examine the socioeconomic and behavioral factors associated with obesity prevalence in Iran by gender from 2006 to 2019, and predict future trends at both national and subnational levels up to 2040. …”
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Using Social Cognitive Theory to Determine Factors Predicting Nutritional Behaviors in Pregnant Women Visiting Health Centers in Tabriz, Iran by Motahhareh Jalily, Majid Barati, Saeed Bashirian*

“…Therefore, the current study used the Social Cognitive Theory (SCT) to determine factors predicting the nutritional behaviors of pregnant women in Tabriz, Iran. …”
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Un modelo predictivo del comportamiento de la práctica deportiva entre la generación Millennial (A predictive model of sports practice behavior among the Millennial generation) by Alazne Mujika-Alberdi, Juan José Gibaja-Martins, Iñaki García-Arrizabalaga

“…This research aims to design a model for predicting the behavior of sports practice for the Millennial generation. …”
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From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare by Suresh Neethirajan

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A Study of Wear Behavior in Martensitic Stainless Steel Subjected to Repetitive Impact Loads by Mahathep Sukpat, Worawut Kunghun, Pudsadee Chupong, Karuna Tuchinda

“…This study investigates the impact wear behavior of martensitic stainless steel, a commonly used material for valves. …”
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Achieving high density and controlled microstructure by predicting hot deformation behavior of low-cost powder metallurgy Ti-5553 alloy by Krystian Zyguła, Oleksandr Lypchanskyi, Kamil Cichocki, Grzegorz Korpała, Marek Wojtaszek, Ulrich Prahl

“…The constitutive model demonstrated an accurate prediction of the alloy's behavior, with an average absolute relative error (AARE) of 9.45 % for flow stress at different strain levels. …”
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Prediction of the negative thermal expansion behavior of metallic metamaterials printed via bi-material laser-based powder bed fusion by I.B. Prestes, E. Buchmann, P. Höfer, E.A. Jägle

“…A good match between the simulations and dilatometry measurements was achieved by manufacturing a multi-unit-cell segment of the metamaterial and selecting the corresponding boundary conditions for finite element simulations, allowing the prediction of the expansion behavior of future metamaterials.…”
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An intelligent soft computing model for predicting the thermal behavior of blood-based trihybrid nanofluids flow in biomedical drug delivery applications by Muhammad Wajahat Anjum, Sana Ullah Saqib, Yin-Tzer Shih, Ines Hilali Jaghdam, Nidhal Becheikh, Lioua Kolsi

“…The main innovation of this study is the application of soft computational techniques, specifically the design and implementation of a nonlinear autoregressive exogenous input network backpropagated with the Bayesian Regularization approach (NAEI-BRA) to predict the behavior of blood-based trihybrid nanofluid flow through a porous medium, influenced by magnetization effects, along with the Darcy-Forchheimer inertial drag model (BTHN-DFDM). …”
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Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health by Avijit Mitra, Kun Chen, Weisong Liu, Ronald C. Kessler, Hong Yu

“…Abstract Despite the established association between social and behavioral determinants of health (SBDH) and suicide risk, SBDHs from unstructured electronic health record notes for suicide prediction remain underutilized. …”
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