From situated knowledges to situated modelling: a relational framework for simulation modelling by Anja Klein, Krystin Unverzagt, Rossella Alba, Jonathan F. Donges, Tilman Hertz, Tobias Krueger, Emilie Lindkvist, Romina Martin, Jörg Niewöhner, Hannah Prawitz, Maja Schlüter, Luana Schwarz, Nanda Wijermans

“…Moreover, current methodological discussions tend to focus on integrating social and ecological dynamics or diverse knowledges and data within a model. Yet choices regarding types of modelling, model structure, data handling, interpretation of results and model validation are not purely epistemic. …”
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Normalized impulse response testing in underground constructions monitoring by Aleksei A. Churkin, Vladimir V. Kapustin, Mikhail S. Pleshko

“…Impulse Response testing is a widespread geophysical technique of monolithic plate-like structures (foundation slabs, tunnel lining, and supports for vertical, inclined and horizontal mine shafts, retaining walls) contact state and grouting quality evaluation. …”
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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…On the other hand, mathematical models, such as Genome-Scale Metabolic Models (GEMs), offer a structured framework for analyzing the organization and dynamics of specific cellular mechanisms. …”
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Urban informal settlements interpretation via a novel multi-modal Kolmogorov–Arnold fusion network by exploring hierarchical features from remote sensing and street view images by Hongyang Niu, Runyu Fan, Jiajun Chen, Zijian Xu, Ruyi Feng

“…The proposed KANFusion model employs the Kolmogorov–Arnold Network (KAN) instead of the conventional MLP structure to enhance the model-fitting capability of heterogeneous modality-specific features and uses a novel Multi-level Feature Fusion Module with KAN block (MFF) to fuse the hierarchical modality-specific and modality-fusion features from remote sensing and street view images for better UIS interpretation performance. …”
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THE ANALYSIS OF THE STRAIN STATE OF SHEAR ZONES IN TERMS OF  TYPES OF SECONDARY FRACTURES: STATEMENT OF PROBLEM by Fyodor L. Yakovlev

“…It is proposed to apply changes of shear zone length in modeling of these structures on equivalent materials.…”
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Biophysical and computational insights from modeling human cortical pyramidal neurons by Sapir Shapira, Ido Aizenbud, Daniela Yoeli, Yoni Leibner, Huibert D. Mansvelder, Christiaan P. J. de Kock, Michael London, Michael London, Idan Segev, Idan Segev

“…This effort has yielded unprecedented morphological and biophysical data on human neurons obtained during epilepsy or tumor surgeries. To integrate and interpret this diverse data, two complementary modeling approaches have emerged: detailed biophysical models, unraveling how morpho-electrical properties shape signal processing in human neurons, and machine learning models, which leverage the biophysical models to uncover hidden structure–function relationships. …”
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Network-Based Modeling of Lean Implementation Strategies and Planning in Prefabricated Construction by Pei Dang, Linna Geng, Zhanwen Niu, Shan Jiang, Chao Sun

“…Thus, this paper aims to propose a quantitative network-based model by integrating Interpretive Structural Modeling (ISM) and Matrix Impact Cross-Reference Multiplication Applied to a Classification (MICMAC) under complex network theory to develop a Lean implementation framework for effective strategy formulation. …”
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SPECIFICS OF DIGITAL FILTERING MODELING FOR PRODUCTIVE DEPOSITS (BY EXAMPLE OF THE KOSHEKHABLSKOYE FIELD) by R. A. Gasumov, E. R. Gasumov

“…The article discusses specifics of creating a digital filtration model for carbonate deposits of the Oxford stage of the Jurassic system, based on structural constructions and the results of interpretation of geological studies. …”
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Short-term forecasting of consumption of the oil and gas enterprises using technological factors and Shapley additive explanations by A. I. Stepanova, A. I. Khalyasmaa, P. V. Matrenin

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Modeling complex systems in animal science: A pedagogical framework for new researchers by Luis Orlindo Tedeschi, Dan Tulpan, Hector M. Menendez III, Ricardo Augusto Mendonça Vieira

“…Simple models, though limited, offer greater usability and interpretability, while complex models can become challenging to apply practically. …”
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Research on Modeling Intrahousehold Interactions from the Perspective of Space-Time Constraints by Liangpeng Gao, Yanjie Ji, Yang Liu, Baohong He

“…This study investigates both multiactivity and multiperson interactions in urban nuclear families and proposes the novel concepts of “activity-restriction degree” and “activity-constraint niche” to quantify the degree of space-time constraints within time geography. A structural equation model is employed to analyze intrahousehold interactions based on individual activity-travel patterns during the workday. …”
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Rock Physics Characteristics and Modeling of Deep Fracture–Cavity Carbonate Reservoirs by Qifei Fang, Juntao Ge, Xiaoqiong Wang, Junfeng Zhou, Huizhen Li, Yuhao Zhao, Tuanyu Teng, Guoliang Yan, Mengen Wang

“…This model effectively characterizes the complex pore structure of deep carbonate rocks and addresses the applicability limitations of conventional models in heterogeneous reservoirs. …”
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ToxiPep: Peptide toxicity prediction via fusion of context-aware representation and atomic-level graph by Jiahui Guan, Peilin Xie, Dian Meng, Lantian Yao, Dan Yu, Ying-Chih Chiang, Tzong-Yi Lee, Junwen Wang

“…In this study, we introduce ToxiPep, a novel dual-model framework for peptide toxicity prediction that integrates sequence-based contextual information with atomic-level structural features. …”
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A variational deep-learning approach to modeling memory T cell dynamics. by Christiaan H van Dorp, Joshua I Gray, Daniel H Paik, Donna L Farber, Andrew J Yates

“…We developed an approach in which dynamical model parameters and the population structure are inferred simultaneously. …”
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Kolmogorov–Arnold Networks for Reduced-Order Modeling in Unsteady Aerodynamics and Aeroelasticity by Yuchen Zhang, Han Tang, Lianyi Wei, Guannan Zheng, Guowei Yang

“…By incorporating a recurrent structure and a gating mechanism, the proposed model effectively captures time-delay effects and enables the selective control and preservation of long-term temporal dependencies. …”
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REENGINEERING OF OPEN SOFTWARE SYSTEM OF 3D MODELING BRL-CAD by Stanislav Velykodniy

“…A thorough analysis of the environment revealed the presence of two modules contained in the structure of the system that help the potential user to quickly design and model. …”
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Revolutionizing pharmacology: AI-powered approaches in molecular modeling and ADMET prediction by Irfan Pathan, Arif Raza, Adarsh Sahu, Mohit Joshi, Yamini Sahu, Yash Patil, Mohammad Adnan Raza, Ajazuddin

“…The convergence of AI with quantum chemistry and density functional theory (DFT) is illustrated through surrogate modeling and reaction mechanism prediction. Despite these advances, challenges remain in data quality, model interpretability, and generalizability. …”
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Internal Speech in Natural Discourse Communication: A Systematic Review and Modeling by Лариса Калмикова, Наталія Харченко, Георгій Калмиков, Інна Мисан, Віктор Коцур

“…These models are logical (sign models) constructions, that recreate certain descriptions of the investigated object, and give new information about it. …”
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On the robustness of the emergent spatiotemporal dynamics in biophysically realistic and phenomenological whole-brain models at multiple network resolutions by Cristiana Dimulescu, Cristiana Dimulescu, Ronja Strömsdörfer, Ronja Strömsdörfer, Agnes Flöel, Agnes Flöel, Klaus Obermayer, Klaus Obermayer, Klaus Obermayer

“…Thus, some care must be taken when interpreting model results.…”
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Advanced Soft Computing Ensemble for Modeling Contaminant Transport in River Systems: A Comparative Analysis and Ecological Impact Assessment by Jafar Chabokpour

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