Development of machine learning models for the prediction of the skin sensitization potential of cosmetic compounds by Wu Qiao, Tong Xie, Jing Lu, Tinghan Jia

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A Fractal Prediction Model for the Friction Coefficient of Wet Clutch Friction Plates by Jianfeng Cao, Sirui Yang, Zhigang Chen, Haoxuan Sun, Fenglian Ning, Heyun Bao

“…A comparative experiment between the joint motion state and dynamic simulation is performed, concluding that the micro convex contact model has certain accuracy in predicting the contact state of friction plates under various working conditions.…”
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A Multi-stage Model Predictive Control Method for Modular Multilevel Converter by ZHANG Jingming, QIU Cheng, WANG Jun, WU Ping, LIU Chun

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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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Traffic Flow Prediction Based on Large Language Models and Future Development Directions by Zhang Muhua, Zhao Wenzheng

“…This paper references a responsible and reliable traffic flow prediction model (R2T-LLM) based on large language models (LLMs). …”
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Predictive Growth Modeling of Listeria monocytogenes in Rice Balls and Its Risk Assessment by Seoungsoon Yeo, Misook Kim

“…In conclusion, our results, determined using predictive growth models, allow the assessment of potential risk ranking associated with the consumption of rice balls contaminated with L. monocytogenes based on the number of illnesses experienced per serving and the disease burden.…”
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Tool temperature prediction in end milling using voxel model-based simulation by Rei MATSUMURA, Isamu NISHIDA, Keiichi SHIRASE

“…The heat input is estimated by the cutting energy predicted by machining simulation with the instantaneous cutting force model. …”
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Development and validation of a novel coronary artery disease risk prediction model by Zu-Fei Wu, Si-Xiao Tao, Wen-Tao Su, Shi Chen, Bai-Da Xu, Gang-Jun Zong, Gang-Yong Wu

“…Based on the results of multifactorial logistic analysis, the CAD risk prediction model built with R-Studio had a highest C-index of 0.909, and a validation cohort C-index of 0.897, demonstrating excellent predictive ability. …”
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Robust Model Predictive Sliding Mode Control of Linear Parameter Varying Systems by Mohammadsadegh Baneshi, Mohsen Farbood, Anthony Ja Rossiter, Saleh Mobayen, Pawel Paweskruch, Ruggero Carli

Subjects: “…Model predictive control…”
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Distributed Model Predictive Control of the Multi-Agent Systems with Improving Control Performance by Wei Shanbi, Chai Yi, Li Penghua

“…This paper addresses a distributed model predictive control (DMPC) scheme for multiagent systems with improving control performance. …”
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The Surface Roughness Prediction Model of Microlens Array in Slow Tool Servo Cutting by LIN Zeqin, CHEN Xindu, YAN Zhitao, SUN Hao

“…A prediction model for the surface topography generation in the ultra precision machining of microlens arrays is established . …”
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Applicability of machine learning models for drought prediction using SPI in Kalahandi, Odisha by AMIT PRASAD, R.K. SINGH, K V RAMANA RAO, C. K. SAXENA

“…Overall, machine learning models, particularly ANN and SVM, proved to be superior for predicting both long-term (SPI-12) and short-term (SPI-6) precipitation indices, highlighting their effectiveness for accurate drought forecasting. …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…These methods involve the analysis of various types of data, including clinical assessments, imaging scans, and genetic markers, to develop accurate predictive models. Even in the initial stages of the conditions, machine learning techniques can discriminate between patients who have and do not have PD by identifying minor variations and traits from such multivariate data. …”
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A NEW MULTIAXIAL FATIGUE LIFE PREDICTION MODEL AND ITS APPLICATION (MT) by REN Zhong, QIN XianRong, ZHANG Qing, SUN YuanTao, LIU Yuan

“…The test data of two materials under the non-proportional loading and proportional loading path are used to verify the proposed life prediction model, and compared with the prediction results of the FS model. …”
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Beyond analytic bounds: Re-evaluating predictive power in risky decision models by Or David Agassi, Ori Plonsky

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Prediction of influenza peaks in Russian cities: Comparing the accuracy of two SEIR models by Vasiliy N. Leonenko, Sergey V. Ivanov

Subjects: “…mathematical modeling…”
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In vivo electrophysiology recordings and computational modeling can predict octopus arm movement by Nitish Satya Sai Gedela, Ryan D. Radawiec, Sachin Salim, Julianna Richie, Cynthia Chestek, Anne Draelos, Galit Pelled

“…The neural circuits and the computational models identified here generated predictions for how to evoke a particular, complex movement in an orchestrated sequence for an individual motor circuit. …”
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Triphasic CT Radiomics Model for Preoperative Prediction of Hepatocellular Carcinoma Pathological Grading by Huang H, Pan X, Zhang Y, Yang J, Chen L, Zhao Q, Huang L, Lu W, Deng Y, Huang Y, Ding K

“…The performance of the fusion model was better than that of the single-phase models.Conclusion: The triphasic CT radiomics model provides a noninvasive tool for preoperative prediction of HCC pathological grading (Ed, MVI, SN), enhancing diagnostic accuracy for clinical decision-making and prognostic evaluation.Plain Language Summary: Why is this study important?…”
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Advances in modeling cellular state dynamics: integrating omics data and predictive techniques by Sungwon Jung

“…We highlight how these approaches integrated with various omics data such as transcriptomics, and single-cell RNA sequencing could be used to capture and predict cellular behavior and transitions. We also discuss applications of these modeling approaches in predicting gene knockout effects, designing targeted interventions, and simulating organ development. …”
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Author Correction: Predictive evolution of metabolic phenotypes using model-designed environments by Paula Jouhten, Dimitrios Konstantinidis, Filipa Pereira, Sergej Andrejev, Kristina Grkovska, Sandra Castillo, Payam Ghiaci, Gemma Beltran, Eivind Almaas, Albert Mas, Jonas Warringer, Ramon Gonzalez, Pilar Morales, Kiran R Patil

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