Key Issues and Prospects for Low-Carbon Operation and Scheduling of the New Power System from an Electricity-Carbon Coupling Perspective by ZHAO Junhua, BAI Yan, WANG Zhidong

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Progress in pedestal and edge physics: Chapter 3 of the special issue: on the path to tokamak burning plasma operation by M.E. Fenstermacher (Chair, Pedestal and Edge Physics), L.R. Baylor, E. de la Luna, M.G. Dunne, G.T.A. Huijsmans, A. Kirk, F.M. Laggner, T.H. Osborne, C. Paz-Soldan, S. Saarelma, P.B. Snyder, E. Viezzer, M. Becoulet, K.H. Burrell, A. Cathey, X. Chen, M. Hoelzl, J.W. Hughes, R. Maingi, A.O. Nelson, H. Urano, E. Wolfrum, X.Q. Xu, A. Diallo, L. Frassinetti, S. Futatani, L. Gil, R. Groebner, T. Happel, S.H. Kim, J. King, B. Labit, P.T. Lang, Y.Q. Liu, Z.X. Liu, R. Lunsford, G.Y. Park, U. Sheikh, W. Suttrop, B. Vanovac, R.S. Wilcox, A. Wingen, T. Zhang

“…Descriptions of experimental results, interpretive modeling and predictive extrapolations are integrated together and comprehensive references are provided. …”
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Le champ des politiques hydriques dans l’Ouest étasunien : éléments d’interprétation des instruments d’action by Joan Cortinas, Franck Poupeau

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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…This adjustment allows the model to achieve greater representational flexibility, improving reconstruction accuracy while preserving the interpretability and clustering clarity provided by the double orthogonality constraints. …”
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ENTREPRENEURIAL COMPETENCE OF THE FUTURE SPECIALIST: PROFESSIONAL AND PERSONAL DIMENSIONS by Kyrylenko Yelisiei

“…The research methods employed include categorical, definitional, and retrospective analyses of interpretations of the phenomena of entrepreneurship and entrepreneurial competence; methods of conceptualisation and systematisation to formulate narrow and broad definitions of entrepreneurial competence; as well as methods of structuring and modelling the content and structure of entrepreneurial competence for future professionals in the automotive transport sector. …”
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Optimization of food compositions according to the ideal protein profile by S. V. Zverev, V. I. Karpov, M. A. Nikitina

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Analytical Equations for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints Based on Interpretable Machine Learning and SHAP Values by Ioannis Karampinis, Martha Karabini, Theodoros Rousakis, Lazaros Iliadis, Athanasios Karabinis

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Cognitively-plausible reinforcement learning in epidemiological agent-based simulations by Konstantinos Mitsopoulos, Lawrence Baker, Christian Lebiere, Peter Pirolli, Mark Orr, Raffaele Vardavas

“…We propose a novel framework based on Adaptive Control of Thought-Rational (ACT-R) principles and Instance-Based Learning (IBL), which enables agents to dynamically adapt their behavior using nonparametric RL without requiring extensive training on large datasets.ResultsTo demonstrate this framework, we model mask-wearing behavior during the COVID-19 pandemic, highlighting how individual decisions and social network structures influence disease transmission. …”
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Assessing the effects of engineered oyster reefs on shoreline change using drones by Megan E. Geesin, Georgette L. Tso, Hannah Sirianni, Siddharth Narayan, Siddharth Narayan, Chris J. Baillie, Praveen D. Malali, Brandon J. Puckett, Justin T. Ridge, Rachel K. Gittman, Rachel K. Gittman

“…Drones (or small uncrewed aerial systems [sUAS]) coupled with structure-from-motion (SfM) photogrammetry have recently been suggested as a low-cost method that offers optimal spatial coverage, fine-scale resolution, and high vertical accuracy for monitoring changes around living shorelines.MethodsWe evaluated how using different vertical and horizontal uncertainty thresholds for detection of drone-based shoreline change can influence interpretation of performance of engineered oyster reefs on coastal morphology and vegetation. …”
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Object-topological modeling of electrical networks by I. A. Golovinskii

“…It allows building object-oriented models of electrical networks, but does not provide efficient tools for analyzing their structure and state. …”
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Prediction and zoning evaluation of in-situ stress field in deep tight sandstone reservoirs of Western Sichuan Depression, Sichuan Basin: a case study of the second member of Xujia... by Tao HUANG, Ruixue LI, Hucheng DENG, Jianhua HE, Kesai LI, Yan LIU, Zehou XIANG, Yifei DU, Tairan YE

“…The second member of the Triassic Xujiahe Formation (Xu 2 Member) in the Xinchang structural belt of the Western Sichuan Depression in the Sichuan Basin contains tight gas reservoirs with enormous resource potential. …”
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Interpretation of the Jiangnan Landscape and Countryside (Shan-Shui) Pattern: Evidence from the Classification and Spatial Form of Traditional Settlements in the Nanxi River Basin by Yuhao Huang, Yingying Huang, Yile Chen, Yu Yan, Liang Zheng, Ziyi Ying

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SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data by Carlos Rafael Rodríguez-Rodríguez, Yeleny Zulueta-Veliz, Dainys Gainza-Reyes

“…A framework is formalized integrating Linguistic Data Summarization with the concept of rhetorical relation and defining the structure and quality metrics of a composite linguistic summary. …”
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Predicting Binding Affinity of Some Imatinib Derivatives as BCR-ABL Tyrosine Kinase Inhibitors Based on Monte Carlo Optimization by Shahram Lotfi, Shahin Ahmadi, Sharare Vardast Baghmisheh, Ali Almasirad

“…Materials & Methods: In order to predict the binding affinity of 555 compounds of imatinib derivatives as ABL-BCR tyrosine kinase inhibitors, quantitative structure-activity relationship (QSAR) modeling was performed using the Monte Carlo method. …”
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Economic Modeling in the Management of Transition to Bioeconomy by Cristian Busu, Mihail Busu

“…Data were collected using a questionnaire addressed to management and employees in the biomass industry. Structural equation modeling (SEM) was used, and d splints were analyzed by software-ul Smart PLS 3. …”
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ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

“…In addition, a fully connected layer with weight freezing is utilized to effectively suppress the negative influence of neurons on the model classification. With the global average pooling (GAP) layer incorporated in the residual shrinkage network structure, we introduce an EEG-based Class Activation Map (ECAM) interpretable method to enable visualization analysis of sample-wise learned patterns to effectively explain the model decision. …”
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AI-Driven Advancements in Bioinformatics: Transforming Healthcare and Science by Sunil Namdev Thitame, Ashwini Ashok Aher

“…Even so various issues related to data quality together with unclear model interpretability and ethical considerations persist. …”
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Insurance industry and China’s regional economic development by X. Xie

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Author’s Transformations of Folklore Images in Yakut Literature by Viktoriya D. Poselskaya, Ekaterina M. Efremova, Maria A. Kirillina

“…Peculiarities of author’s transformations and interpretations of folklore imagery in the formation of special forms and types of metatext structures in Yakut literature are examined from the point of view of the specifics of genre synthesis: architectonics, figurative-motivational complex, structural-compositional, poetic structure, etc. …”
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A framework for predictive modeling of microbiome multi-omics data: latent interacting variable-effects (LIVE) modeling by Javier Munoz Briones, Douglas K. Brubaker

“…LIVE integrates multi-omics data using single-omic latent variables (LV) organized in a structured meta-model to determine the combinations of features most predictive of a phenotype or condition. …”
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