Beyond analytic bounds: Re-evaluating predictive power in risky decision models by Or David Agassi, Ori Plonsky

“…Research in behavioral decision-making has produced many models of decision under risk. …”
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The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies. by Viviane Naimy, Omar Haddad, Gema Fernández-Avilés, Rim El Khoury

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Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis by Muhammed Ali Çolak, Osman Ünsal Bayrak

“…Data collected from various user groups, including households and university students, provide a comprehensive understanding of local travel behavior. Four predictive modeling techniques, linear regression, Poisson regression, negative binomial regression, and artificial neural networks (ANNs), were applied to the dataset, followed by a comparative performance evaluation. …”
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A study of the risk factors for Ureaplasma urealyticum infection and the predictive role of immunoinflammation by Yanhui Li, Jie Zheng, Junpeng Zhao, Wenjie Qi, Yuhong Yao, Dongxue Gao, Jinyin Yan

“…Women with low level of cleanliness or promiscuous behavior had a higher risk of Uu infection (OR = 1.42; OR = 1.41, respectively). …”
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Deep learning for predicting the occurrence of tipping points by Chengzuo Zhuge, Jiawei Li, Wei Chen

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Predictive Processing in Autism Spectrum Disorder: The Atypical Iterative Prior Updating Account by Zhuanghua Shi, Fredrik Allenmark, Laura A. Theisinger, Rasmus L. Pistorius, Stefan Glasauer, Hermann J. Müller, Christine M. Falter-Wagner

“…Background: The nature of predictive-processing differences between individuals with autism spectrum disorder (ASD) and typically developing (TD) individuals remains contested. …”
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Predictive biomarkers in endometrial carcinomas: a review of their relevance in daily anatomic pathology by Janaína Nagel, Rafael Bispo Paschoalini, Patrícia Sodré Dias Barreto, Caroline Haydn Credidio, Eduardo Paulino, Maria Del Pilar Estevez-Diz

“…These subgroups not only provide insights into the biological behavior of EC but also have strong clinical relevance and prognostic implications. …”
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Data-Driven Model Predictive Control for Trajectory Tracking in UAV-Manipulator Systems by Bryan S. Guevara, Jose Varela-Aldas, Viviana Moya, Manuel Cardona, Daniel C. Gandolfo, Juan M. Toibero

“…This DMDc-based model is embedded within the NMPC formulation to predict system behavior over finite horizons. The UAV’s orientation is represented using quaternions, enabling continuous and singularity-free attitude control. …”
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Predictive modelling of creep age forming parameters using artificial neural networks by Yo-Lun Yang, Cheng-Ling Tai, Wan-Ling Chen, Sundarakannan Rajendran, Vigneshwaran Shanmugam

“…This data-driven approach effectively captured complex, non-linear interactions between process parameters and material properties, significantly outperforming traditional constitutive models, particularly at higher stress levels (> 150 MPa) and prolonged ageing durations (> 4 h). The ANN accurately predicted stress-accelerated precipitate coarsening behavior, with experimental validation showing precipitate growth from 15 to 52 nm under creep conditions versus 47 nm under standard ageing. …”
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An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

“…Thus, the model’s capacity to accurately predict parameters and represent machine behavior has been revealed, and this method offers a feasible option for the effective use of resources, such as time and labor, in the estimation of PMSM parameters.…”
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Time-course of antipredator behavioral changes induced by the helminth Pomphorhynchus laevis in its intermediate host Gammarus pulex: the switch in manipulation according to parasi... by Rigaud, Thierry, Balourdet, Aude, Bauer, Alexandre

“…However, the whole time-course of this sequence of behavioral switch is not yet known, and only one antipredator behavior has been studied to date.  …”
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Using recurrent neural network to estimate irreducible stochasticity in human choice behavior by Yoav Ger, Moni Shahar, Nitzan Shahar

“…This approach aims to identify whether the low predictability of behavioral data is mainly due to noisy decision-making or misspecification of the theoretical model. …”
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Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis by Lingjiang Liu, Zhiyuan Li, Yaxin Hu, Chunyou Li, Shuhan He, Shibei Zhang, Jie Gao, Huaiyi Zhu, Guoping Huang

“…MethodsThis review assessed ML for predicting adolescent suicide–related behaviors. PubMed, Embase, Cochrane, and Web of Science databases were rigorously searched until April 20, 2024, and a multivariate prediction model was employed to assess the risk of bias. …”
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Predictive goal coding by dentate gyrus somatostatin-expressing interneurons in male mice by Mei Yuan, Aurore Cazala, Sven Goedeke, Christian Leibold, Jonas-Frederic Sauer, Marlene Bartos

“…Thus, our data reveal the ability of SOMIs to flexibly encode goal-locations depending on current and past experiences to bias behavioral outcomes.…”
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Decentralized Model Predictive Control for Cooperative Multiple Vehicles Subject to Communication Loss by Hojjat A. Izadi, Brandon W. Gordon, Youmin Zhang

“…The decentralized model predictive control (DMPC) of multiple cooperative vehicles with the possibility of communication loss/delay is investigated. …”
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Dance as mindful movement: a perspective from motor learning and predictive coding by W. Tecumseh Fitch, Rebecca Barnstaple

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Predictive analytics in gamified education: A hybrid model for identifying at-risk students by Devanshu Sawarkar, Latika Pinjarkar, Pratham Agrawal, Devansh Motghare

“…This research proposes a hybrid predictive model designed to identify at-risk students within a gamified education environment accurately. …”
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Childbirth-related posttraumatic stress symptoms: exploring the predictive potential of intrapartum hotspots by Meike K. Blecker, Daria Daehn, Sinha Engel, Susann Steudte-Schmiedgen, Susan Garthus-Niegel, Christine Knaevelsrud, Sarah Schumacher

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The predictive relationship between parents’ perceptions of physical activity and children’s physical literacy by Bin Long, Senlin Chen, Yicheng Long, Yang Liu, Yangyang Li, Yuhuai Wang, Ping Wang, Mingang Guo, Yiwu Yang

“…Abstract Parents play an important role in children’s physical literacy development (across cognitive, physical, affective, and behavioral domains) and physical activity participation. …”
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Construction and verification of a predictive model for depression risk of patients with somatization symptoms by Liming Tang, Jinrong Zhong, Mei’e Zeng, Weiwei Deng, Chunmei Huang, Shuifen Ye, Fengjin Li, Dongqin Lai, Wanling Huang, Bin Chen, Xiaoyuan Deng, Xiaoying Lai, Lirong Wu, Bilan Zou, Hanzhong Qiu, Ying Liao

“…DCA confirmed clinical utility: at threshold probabilities >5%, the model provided higher net benefit than “treat-all” or “treat-none” strategies.ConclusionThis model integrates sociocultural (e.g., family structure) and behavioral factors to predict depression risk in somatizing patients, particularly in East Asian contexts. …”
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