Parametric evaluation and predictive modelling of formability in μ-SPIF process by Sahu Vijay Kumar, Das Purnendu, Adhikary Avishek, Bandyopadhyay Kaushik

“…This study emphasizes the integration of experimental data, process analysis, and predictive modelling as a means of creating a digital twin framework for µ-SPIF.…”
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On the impact of hidden modeling assumptions on living systems- predictive dynamics by Ivan Mura

“…REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper aims at showing the predictive modeling of living systems, particularly some commonly structured modeling assumptions which simplify the behavior of living systems. …”
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A data driven predictive viscosity model for the microemulsion phase by Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast

“…This study develops a computational, data-driven model to accurately estimate and predict peak phase viscosity in microemulsion systems at dynamic environments. …”
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Predictive model on employee stock ownership impacting corporate performance by Yiping Huang, Shixin Huang, Xiangjian Chen

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Predictive evolution of metabolic phenotypes using model‐designed environments by Paula Jouhten, Dimitrios Konstantinidis, Filipa Pereira, Sergej Andrejev, Kristina Grkovska, Sandra Castillo, Payam Ghiachi, Gemma Beltran, Eivind Almaas, Albert Mas, Jonas Warringer, Ramon Gonzalez, Pilar Morales, Kiran R Patil

Subjects: “…genome‐scale metabolic model…”
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Developing A Predictive Model for Small Business Loan Default by Refiloe Gladys Benedict, O Stumke, Veruschka Pelser Carstens

“…This paper proposes a model aimed at proactively increasing loan repayment probabilities. …”
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An introduction to predictive distribution modelling for conservation to encourage novel perspectives by M. MacPherson, K. R. Burgio, M. G. DeSaix, B. G. Freeman, J. Herbert, R. Herman, V. Jirinec, J. Shonfield, D. L. Slager, C. B. van Rees, J. E Jankowski

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Glioblastoma and Blood Microenvironment Predictive Model for Life Expectancy of Patients by Alexander N. Chernov, Sofia S. Skliar, Mikalai M. Yatskou, Victor V. Skakun, Sarng S. Pyurveev, Ekaterina G. Batotsyrenova, Sergey N. Zheregelya, Guodong Liu, Vadim A. Kashuro, Dmitry O. Ivanov, Sergey D. Ivanov

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Asynchronous Distributed Model Predictive Control for Multi-Agent Systems by Xiaoxiao Mi, Yuanjiang Liao, Hongzheng Zeng

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Harnessing AI for Leadership Development: Predictive Model for Leadership Assessment by Abdullahi Abdu Ibrahim, Adel Alomairi

“…The objective was to create a predictive model that would allow classifying leadership into three groups – Low, Medium, and High – based on behavior scores. …”
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Advancing the thermodynamic approach with the predictive model for the freeze-drying of meat by Oznur Oztuna Taner

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Fulminant necrotizing enterocolitis: clinical features and a predictive model by Xiaoyu Chen, Yuqiao Li, Yuhan Liu, Tianjing Liu, Yongyan Shi

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Predictive Modelling of Sea Debris around Maltese Coastal Waters by Mark Dingli, Kristian Guillaumier, Adam Gauci

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Model Predictive Control to Autonomously Approach a Failed Spacecraft by Xun Wang, Zhaokui Wang, Yulin Zhang

“…In this study, a model predictive control (MPC) method is developed for a servicer spacecraft autonomously approaching a tumbling failed spacecraft at an ultraclose range. …”
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Leveraging LLMs for predictive insights in food policy and behavioral interventions by Micha Kaiser, Paul M. Lohmann, Peter Ochieng, Billy Shi, Cass R. Sunstein, Lucia A. Reisch

“…This paper demonstrates that a fine-tuned large language model (LLM) can accurately predict outcome directions in approximately 80% of empirical studies evaluating dietary interventions. …”
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Prediction, Explanation, and Control: The Use of Mental Models in Dynamic Environments by Roman Tikhonov, Simon DeDeo

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Risk prediction models for breast cancer: a systematic review by Jiang Li, He Li, Jie He, Ni Li, Yadi Zheng, Zheng Wu, Maomao Cao

“…Objectives To systematically review and critically appraise published studies of risk prediction models for breast cancer in the general population without breast cancer, and provide evidence for future research in the field.Design Systematic review using the Prediction model study Risk Of Bias Assessment Tool (PROBAST) framework.Data sources PubMed, the Cochrane Library and Embase were searched from inception to 16 December 2021.Eligibility criteria We included studies reporting multivariable models to estimate the individualised risk of developing female breast cancer among different ethnic groups. …”
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Evaluation and Optimization of Prediction Models for Crop Yield in Plant Factory by Yaoqi Peng, Yudong Zheng, Zengwei Zheng, Yong He

“…By incorporating crop yield data, a comparative analysis of 28 prediction models was performed, assessing performance metrics such as MSE, RMSE, MAE, MAPE, R², prediction speed, training time, and model size. …”
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Disease-Specific Risk Models for Predicting Dementia: An Umbrella Review by Eugene Yee Hing Tang, Jacob Brain, Serena Sabatini, Eduwin Pakpahan, Louise Robinson, Maha Alshahrani, Aliya Naheed, Mario Siervo, Blossom Christa Maree Stephan

“…However, while numerous models have been developed to predict dementia, they are often not tailored to disease-specific groups. …”
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Liner Wear Prediction Using Bayesian Regression Models and Clustering by Jacob Van Den Broek, Melinda Hodkiewicz, Adriano Polpo

“…Notably, Model 2 predicts remaining useful life within 95% credible intervals and identifies anomalous sensor performance. …”
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