Damage Prediction in the Wire Drawing Process by Álvaro González, Marcela Cruchaga, Diego Celentano, Jean-Philippe Ponthot

“…In this study, the prediction of damage in the wire drawing process of 2011 aluminum alloy was investigated through both experimental and numerical methods. …”
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Development of a Predictive Model for the Progression of Subjective Cognitive Decline: A Longitudinal Study by Wenyi Li, Jiwei Jiang, Qiwei Ren, Min Zhao, Linlin Wang, Shiyi Yang, Shirui Jiang, Tianlin Jiang, Huiying Zhang, Jun Xu

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Early Detection and Management of Cognitive Impairment in Parkinson's Disease: A Predictive Model Approach by Li Li, Shan Tang, Bin Hao, Xiaoqin Gao, Haiyan Liu, Bo Wang, Hui Qi

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Behavioural Economics and Consumer Decision-Making in the Age of Artificial Intelligence (AI), Data Science, Business Analytics, and Internet of Things (IoT) by Yuki Haruto Yamamoto

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Virtual-Vector-Based Predictive Torque Control for Six-Phase IM With Reduced Computational Burden and Copper Losses by Osvaldo Gonzalez, Jesus Doval-Gandoy, Magno Ayala, Jorge Rodas, Paola Maidana, Christian Medina, Carlos Romero, Larizza Delorme, Raul Gregor, Ricardo Maciel

“…Finite-control-set model predictive control (FCS-MPC) has become widely accepted in multiphase drives due to its adaptability and robust dynamic response. …”
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Spatial prediction of dynamic interactions in rats. by Tereza Dvorakova, Veronika Lobellova, Paloma Manubens, Abel Sanchez-Jimenez, Jose Antonio Villacorta-Atienza, Ales Stuchlik, David Levcik

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Creative thinking and entrepreneurial behavior among k-12 teachers: a predictive study = Pensamento criativo e comportamento empreendedor entre professores da educação básica: um estudo preditivo = Pensamiento creativo y comportamiento emprendedor entre maestros: un estudio predictivo by Amorim Neto, Roque do Carmo

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Enhanced predictive capability for chaotic dynamics by modified quantum reservoir computing by Longhan Wang, Yifan Sun, Xiangdong Zhang

“…Here we propose an approach for advancing the prediction of chaotic behavior. Our approach can be viewed as a unique quantum reservoir computing scheme, which can simultaneously capture the linear and the nonlinear features of input data and evolve under a modified Hamiltonian. …”
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Water Supply Network System Control Based on Model Predictive Control by Adel Abdulrahman, Nagib Nasher

“…Keywords: Water supply system, Model predictive control, Constraints…”
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Predictive modeling of 3D reconstruction trajectories for potential programmable materials by Yechun Jin, Jie Li, Qi Yu, Panghua Tian

“…However, accurately predicting their 3D reconstruction trajectories remains a challenge due to the complex interactions between material behavior and environmental factors.MethodsTo address this, we propose a computational framework, the Dynamic Morphology Engine (DME), designed to enhance predictive modeling of shape-morphing programmable materials by integrating advanced control mechanisms and optimization strategies. …”
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Flexible Model Predictive Control for Bounded Gait Generation in Humanoid Robots by Tianbo Yang, Yuchuang Tong, Zhengtao Zhang

“…The flexible C-T model’s inversion derivation allows it to be effectively transformed into the predictive equation for the FMPC, therefore enriching its flexible dynamic behavior representation. …”
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CRISIS, UNCERTAINTY, RISK AND CONSUMER BEHAVIOR: A PSYCHO-ECONOMIC APPROACH by Mihaela DIACONU, Amalia DUTU

“…Under current conditions, predicting consumer behavior is essential as all marketing decisions are based on their characteristics. …”
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Gamification in education—teachers’ perspectives through the lens of the theory of planned behavior by Laura Leiss, Jörg Großschedl, Matthias Wilde, Silvia Fränkel, Sebastian Becker-Genschow, Nadine Großmann

“…However, none of these variables predicted the actual application of gamification in class. …”
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New Predictive Models for the Computation of Reinforced Concrete Columns Shear Strength by Anthos I. Ioannou, David Galbraith, Nikolaos Bakas, George Markou, John Bellos

“…The assessment methods for estimating the behavior of the complex mechanics of reinforced concrete (RC) structural elements were primarily based on experimental investigation, followed by the collective evaluation of experimental databases from the available literature. …”
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Prognostic and predictive imaging markers of hepatocellular carcinoma: a pictorial essay by Claudia Deyirmendjian, Banmeet Padda, Kathryn J. Fowler, Victoria Chernyak, Claude B. Sirlin, Hanyu Jiang, Kim-Nhien Vu, Joseph R. Dadour, Jessica Murphy-Lavallée, Jean-Sébastien Billiard, Damien Olivié, Bich N. Nguyen, An Tang

“…However, accurately characterizing tumor behavior remains challenging due to the biologic heterogeneity of HCC and limited access to tissue samples. …”
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Artificial intelligence and predictive marketing: an ethical framework from managers’ perspective by Hina Naz, Muhammad Kashif

“…Purpose – Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. …”
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How Reliable Is the G41 Discharge Code for Status Epilepticus? by Quentin Calonge, Vincent Navarro, Sophie Tezenas du Montcel

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Test Methods for the Post-cracking Behavior of the FRC in Tension: A State of the Art Review by Pedro Paulo Martins de Carvalho, Rodrigo de Melo Lameiras

“…Although various tests are used to determine FRC’s Mode I fracture behavior, each has its limitations in accurately predicting how FRC performs in real-world structures. …”
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Beyond pain privacy and pain meters: a new vision for pain biomarkers by Charles Djordjevic, Charles Djordjevic, Carl Y. Saab, Carl Y. Saab, Carl Y. Saab

“…Offering a way out, first, we refute the privacy and objectification of pain citing philosophical, behavioral, and neuroscientific arguments. We discuss Wittgensteinian views against privacy, explore the clear evolutionary advantage of communicating pain to others, and identify neural circuits in the mammalian brain that contribute to empathy. …”
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Reflective error: a metric for assessing predictive performance at extreme events by Robert Edwin Rouse, Henry Moss, Scott Hosking, Allan McRobie, Emily Shuckburgh

“…When using machine learning to model environmental systems, it is often a model’s ability to predict extreme behaviors that yields the highest practical value to policy makers. …”
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