Monitoring the growth of social and emotional competence to guide practice decisions by Valerie B. Shapiro, Bo-Kyung Elizabeth Kim, Jennifer L. Robitaille, Joseph L. Mahoney, Juyeon Lee, Paul A. LeBuffe

“…Two case studies are presented to illustrate how studies can be used to infer how much growth is typical, among which students, and under what conditions, to facilitate real-time decisions by educators to adjust instruction.…”
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An intelligent decision-making system for early diagnosis of macular pathology by T. G. Kamenskikh, O. N. Dolinina, I. O. Kolbenev, E. V. Veselova

“…The correspondence between the doctor's diagnosis and the decision taken by the ANN was assessed.Conclusions. …”
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The effects of normal aging on multiple aspects of financial decision-making. by Dorien F Bangma, Anselm B M Fuermaier, Lara Tucha, Oliver Tucha, Janneke Koerts

“…<h4>Objectives</h4>Financial decision-making (FDM) is crucial for independent living. …”
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Bibliometric analysis for sustainable food waste using multicriteria decision by . Syafrudin, I.B. Priyambada, M.A. Budihardjo, S. Al Qadar, A.S. Puspita

“…The study results in decision-makers evaluating interventions and strategies holistically by concurrently considering the food waste dimension, a multicriteria model, economic factors, environmental factors, social factors, policy considerations, and technical feasibility are just some of the factors considered in this study. …”
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Prediction of Crops Cycle with Seasonal Forecasts to Support Decision-Making by Daniel Garcia, Nicolas Silva, João Rolim, Antónia Ferreira, João A. Santos, Maria do Rosário Cameira, Paula Paredes

“…Integrating seasonal weather forecasts (SWF) into crop growth modelling tools is therefore essential for improving agricultural decision-making. …”
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A Multi-Criteria Decision-Making Framework for Tibetan Furniture Design Driven by the Needs of Users: Integration and Evaluation via TFAHP-QFD-VIKOR by Xinlian Li, Jing Wang, Ning Tang

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Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmatio... by Muqing Yan, Qiandong Zeng, Zhenxi Zhang, Patricia Okamoto, Stanley Letovsky, Angela Kenyon, Natalia Leach, Jennifer Reiner

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An automated predictive model for evaluating narrative cohesion in children’s stories: a computational linguistic approach considering Gérard Genette’s narrative structure theory... by Jawharah Alasmari, Mohammed Alzyoudi, Masheal Alshehri, Rana Alshammari, Reyouf Aldakan

“…The study employs a Decision Tree model to evaluate narrative cohesion, achieving optimal results with both recall and precision at 100%. …”
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Maintaining Accuracy While Reducing Effort in Online Decision Making: A New Quantitative Approach for Multi-Attribute Decision Problems Based on Principal Component Analysis by Herbert Jodlbauer, René Riedl

“…This demonstration is based on the example of two decision strategies, which are both theoretically and practically highly relevant: the multi-attribute utility model (MAU) and the elimination-by-aspects strategy (EBA). …”
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MATHEMATICAL MODELS FOR DETERMINING THE PARETO FRONT FOR BUILDING TECHNOLOGICAL PROCESSES OPTIONS UNDER THE CONDITIONS OF INTERVAL PRESENTATION OF LOCAL CRITERIA by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Dr. Chinwi Mgbere

“…The following tasks have been solved in the article: review and analysis of the current state of the problem of supporting decision-making in the tasks of optimization of TP at the stages of their design or reengineering; decomposition of the problem of making project decisions; formalization of the task of comparing intervals for selection of Pareto fronts using comparison indices based on the generalized Hukuhari difference; development of a mathematical model of the problem for the method based on Carlin's lemma; development of a mathematical model of the problem for the method based on Hermeyer's theorem; determination of the Pareto front in the task of optimization of TP by the method of pairwise comparisons. …”
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Establishment and validation of a risk prediction model for urinary tract infection in elderly patients with type 2 diabetes mellitus by Yaqiang Li, Lin Li, Lili He

“…Finally, using DCA (decision curve analysis), we observed whether the model could be used better in clinical settings.ResultsThe study enrolled a total of 402 patients with T2DM, of which 281 were in the training cohort, and 70 of these patients had UTI. …”
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Introducing <tt>ActiveInference.jl</tt>: A Julia Library for Simulation and Parameter Estimation with Active Inference Models by Samuel William Nehrer, Jonathan Ehrenreich Laursen, Conor Heins, Karl Friston, Christoph Mathys, Peter Thestrup Waade

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Design of an efficient dynamic context‐based privacy policy deployment model via dual bioinspired Q learning optimisations by Namrata Jiten Patel, Ashish Jadhav

“…Abstract A novel context‐based privacy policy deployment model enhanced with bioinspired Q‐learning optimisations is presented. …”
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Integrated Intelligent Control of Redundant Degrees-of-Freedom Manipulators via the Fusion of Deep Reinforcement Learning and Forward Kinematics Models by Yushuo Chen, Shijie Su, Kai Ni, Cunjun Li

“…We propose a novel DRL-based intelligent control strategy, FK-DRL, which integrates the manipulator’s forward kinematics (FK) model into the control framework. Initially, we conceptualize the control task as a Markov decision process (MDP) and construct the FK model for the manipulator. …”
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Development and usability testing of an integrated geriatric care model (SMART system) to promote integrated home-based geriatric care by Rongrong Guo, Huan Fan, Shuqin Xiao, Ziling Zheng, Fangyu Yang, Yanyan Xiao, Xue Yang, Ying Wu

“…This study aimed to address the gap by developing an integrated geriatric care model (SMART system) using a knowledge-based clinical decision support system (CDSS) architecture inspired by the principle of neural reflex and evaluate the usability of the SMART system. …”
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Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis by Jian Chen, Zhihan Li, Weiwei Wang, Yi Wang, Zhaoxuan He

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Development of several machine learning based models for determination of small molecule pharmaceutical solubility in binary solvents at different temperatures by Mohammed Alqarni, Ali Alqarni

“…Given the complex, non-linear patterns in solubility behavior, three advanced regression approaches were utilized: Polynomial Curve Fitting, a Bayesian-based Neural Network (BNN), and the Neural Oblivious Decision Ensemble (NODE) method. To optimize model performance, hyperparameters were fine-tuned using the Stochastic Fractal Search (SFS) algorithm. …”
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Improvement of railroad maintenance program: predicting the degradation level of railroad timber ties through the application of the random forest model by Faeze Khademi, Houshang Darabi, Daniel Leeb, Samuel Harford, Vipul Dhariwal

“…Although the results of two other models; decision tree (DT) and long-short term memory (LSTM), were also incorporated and displayed, the RF model consistently exhibited superior precision. …”
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Two Machine-learning Hybrid Models for Predicting Type 2 Diabetes Mellitus by Rahman Farnoosh, Karlo Abnoosian, Rasha Abbas Isewid

“…Our proposed hybrid models demonstrated superior performance in two scenarios, handling and rejecting outliers, compared to other machine-learning models in this study, including support vector machines (with radial-based, polynomial, linear, and sigmoid kernel functions), decision trees (J48), and GNB classifiers for diabetes prediction. …”
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OPTIMIZATION AND MODELING OF E-LEARNING SYSTEM THROUGH PLATFORMS IBM WEBSPHERE BUSINESS MODELER AND ANYLOGIC by Anna Yu. Orlova, Alexander A. Sorokin

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