PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE INVESTIGATION DENGAN PENDEKATAN OPEN ENDED PROBLEM UNTUK MENINGKATKAN KEMAMPUAN REPRESENTASI MATEMATIS by La Ode Sirad, Gemi Susanti, Rasidahtul Adawiah

“…Student activities and learning management by the teacher in the learning  process also increased to cycle II reaching  an average of 82% and 81%. …”
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A dynamic model to sustain the spark: How do network coordinators in Dutch healthcare networks maintain network commitment? by Manon Roest, Doris van der Smissen, Remco Mannak, Leon Oerlemans, Anne Marie Weggelaar-Jansen

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Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks by Bediha Oyar, Beytullah Eren, Abdil Özdemir

“…The samples which taken periodically were measured after the centrifugal processes with the UV spectrophotometer. The experimental results were also modelled with artificial neural networks (ANNs). …”
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A combined prediction model for middle and long-term water and sediment forecasting based on causal analysis feature selection by XuanZhao Kong, KeBin Shi, HaiKun Yao, SiHai Liu

“…This study proposes an ensemble prediction model incorporating causal feature selection, developing 24 individual prediction models for water-sediment processes and selecting optimal combinations to enhance prediction accuracy for reservoir inflow water and sediment. …”
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Prediction of Reduction Recovery of Iron and Vanadium Oxides in Low-Grade Vanadium–Titanium Magnetite Based on Response Surface Model by Xueting Jiang, Hao Wu, Aijun Deng

“…This indicates that the RSM prediction model has high accuracy and reliability. After parameter optimization of the RSM prediction model, when the reduction temperature is 1446 °C~1498 °C and the reduction time is 43 min~60 min, the maximum reduction rates of iron oxide and vanadium oxide in iron ore can reach 92.93% and 69.20%, respectively. …”
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Equation-free analysis of two-component system signalling model reveals the emergence of co-existing phenotypes in the absence of multistationarity. by Rebecca B Hoyle, Daniele Avitabile, Andrzej M Kierzek

“…Phenotypic differences of genetically identical cells under the same environmental conditions have been attributed to the inherent stochasticity of biochemical processes. Various mechanisms have been suggested, including the existence of alternative steady states in regulatory networks that are reached by means of stochastic fluctuations, long transient excursions from a stable state to an unstable excited state, and the switching on and off of a reaction network according to the availability of a constituent chemical species. …”
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Exploring the Antioxidant Activity and Impact on Gut Microbiota of Brassica rapa L. Polysaccharides Based on an in Vitro Digestion and Fermentation Model by Mengying ZHANG, Kaiyue BI, Yuhan WU, Wei LI, Wei LI, Yanbo LI, Yu ZHAO, Wei WANG

“…The findings provide theoretical insights for the advanced processing of turnip and its potential role in regulating gut microbiota.…”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…For example, the R2 for COD prediction is 0.99954, while the R2 values for NH4 +-N, TP, and TN predictions reach 0.99989. Compared to five other models, the RFR model demonstrates the best performance across all water quality indicator predictions. …”
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Analysis of High-Frequency Sea-State Variability Using SWOT Nadir Measurements and Application to Altimeter Sea State Bias Modelling by Estelle Mazaleyrat, Ngan Tran, Laïba Amarouche, Douglas Vandemark, Hui Feng, Gérald Dibarboure, François Bignalet-Cazalet

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MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH FISIKA DI PESANTREN MELALUI MODEL ARGUMENT LEARNING AND ISLAMIC VALUES ON PESANTREN (ALIVP) by Agus Budiyono, Lia Yuliati, Markus Diantoro, Ahmad Taufiq

“…The results indicate that prior to the intervention, students' problem-solving skills were at a novice level, whereas post-ALIVP model learning, they reached an expert level. Quantitative findings revealed significant differences in students' problem-solving skills pre- and post-ALIVP model intervention, with an effect size of 4.03, indicating a substantial impact and an N-gain score of 0.71, categorizing as high with a 71% improvement rate. …”
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InvarNet: Molecular property prediction via rotation invariant graph neural networks by Danyan Chen, Gaoxiang Duan, Dengbao Miao, Xiaoying Zheng, Yongxin Zhu

“…This paper introduces InvarNet, a GNN-based model trained with a composite loss function that bypasses intricate data processing while maintaining molecular property invariance. …”
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Early Fault Detection in Electro-Pneumatic Actuators using Mathematical Modelling and Machine Learning: A Bottling Company Case Study by Samuel Olufemi Amudipe, Adeyinka Moses Adeoye, Aderonke Oluwaseunfunmi Akinwumi, Rotimi Adedayo Ibikunle, Segun Adebayo

“…The application of feature selection methods helped find essential variables to boost performance metrics in models. The research created valuable insights by reaching 90% success in operational state identification between normal and anomalous conditions across various test scenarios, which leads to an adaptable predictive maintenance system. …”
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Analysis of Hydrological Elements and Runoff Prediction in Tao'er River Basin under Land Use and Climate Change by MA Liguo, LIU Jianwei, PANG Xiaoteng, JING Haihua

“…［Methods］ Taking the Tao'er River basin as the study area, the runoff response process of the watershed was quantitatively analyzed based on the SWAT model with the CMIP6 climate model and PLUS model driving meteorological and land use changes, respectively, to project development scenarios for 2025—2100. …”
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Projections of Climate Change Impact on Stream Temperature: A National-Scale Assessment for Poland by Paweł Marcinkowski

“…However, as a preliminary study, this work uses a simplified temperature model that does not account for detailed hydrological processes and spatial variability, making it a good starting point for more detailed future research.…”
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Deep VMD-attention network for arrhythmia signal classification based on Hodgkin-Huxley model and multi-objective crayfish optimization algorithm. by Hang Zhao, Xiongfei Yin

“…Bayesian optimization was employed to fine-tune the hyperparameters and further enhance the performance of the deep model, with the best accuracy of the deep attention model after TPE optimization reaching 96.11%. …”
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Evolution of radiation profiles in a strongly baffled divertor on MAST Upgrade by Fabio Federici, Matthew L. Reinke, Bruce Lipschultz, Jack J. Lovell, Kevin Verhaegh, Nicola Lonigro, Cyd Cowley, Mike Kryjak, Peter Ryan, Andrew J. Thornton, James R. Harrison, Byron J. Peterson, Bartosz Lomanowski, Jeremy D. Lore, Yacopo Damizia

“…The movement of the radiation is in partial agreement with the expectations from the DLS model (Myatra, 2021; Cowley et al., 2022; Lipschultz et al., 2016), predicting a sudden shift from the target to the X-point on the inner leg. …”
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Evaluating GPT- and reasoning-based large language models on Physics Olympiad problems: Surpassing human performance and implications for educational assessment by Paul Tschisgale, Holger Maus, Fabian Kieser, Ben Kroehs, Stefan Petersen, Peter Wulff

“…Large language models (LLMs) are now widely accessible, reaching learners across all educational levels. …”
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Strategic Planning in the Russian Federation: Theory, Practice, Methodology by O. V. Morozov, M. A. Vasiliev, A. G. Biryukov

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Precipitable Water Vapor (PWV) Estimation from GNSS Modelled Tropospheric Delay: A case of SURVNET and IGS Stations in Uganda. by Brian Makabayi, Hans Mark Sentamu

“…This study explores the potential of GNSS-modelled tropospheric delay for PWV estimation in the Lake Victoria basin, utilizing data from SURVNET and IGS stations in Uganda. …”
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Evaluation of Visual Performance of Religious Urban Open Spaces (Case study: Al- Sayyida Nafisa Mosque Square in Cairo, Egypt) تقييم األداء البصرى للفراغات العمرانية ذات الطابع الد... by Nourhan Mohammed Ibrahim Ali

“…The research also tries to reach the best visual basics and criteria which support the design and planning process that must be taken in consideration when dealing with the religious urban open spaces. …”
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