Asteroid and Meteorite Impacts as a Cause of Large Sedimentary Basins: A Case Study of the Transylvanian Depression by Dumitru Ioane, Irina Stanciu, Mihaela Scradeanu

“…The 3G signatures have been applied to the Transylvanian Depression, a fascinating geological structure, with difficulties in explaining the direct overlapping of regionally developed thick tuff and thick salt layers, and undecided interpretation of the regional magnetic anomaly. …”
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Mathematical Theory of Social Conformity I: Belief Dynamics, Propaganda Limits, and Learning Times in Networked Societies by Dimitri Volchenkov, Vakhtang Putkaradze

“…This paper develops a novel probabilistic theory of belief formation in social networks, departing from classical opinion dynamics models in both interpretation and structure. Rather than treating agent states as abstract scalar opinions, we model them as belief-adoption probabilities with clear decision-theoretic meaning. …”
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Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques by Bhupesh P. Nandurkar, Jayant M. Raut, Pawan K. Hinge, Boskey V. Bahoria, Tejas R. Patil, Sachin Upadhye, Vikrant S. Vairagade, Sagar D. Shelare

“…The interpretation of model predictions is accomplished through SHAP and LIME to quantify global and local importance. …”
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Machine Knowledge and Human Cognition by Fashen Li, Lian Li, Jianping Yin, Liang Huang, Qingguo Zhou, Ning An, Yong Zhang, Li Liu, Jialin Zhang, Kun Kuang, Lei Yang, Zhixi Wu, Lianchun Yu

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Concept of «Mystery» and its Realization in the Works of J. Lippard and N. Buntline by V. V. Bezrukova, A. V. Garkusha

“…The study was conducted within the framework of a linguistic and cultural approach using methods of description, comparison, interpretative analysis, conceptual analysis, the method of dictionary definitions analyzing, structural and semantic analysis, and the method of quantitative calculations. …”
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Early warning forecasting of river ecological flow in a typical Karst basin, southwest China: Leveraging baseflow segmentation and interpretable machine learning by Chongxun Mo, Haiyang Wang, Shufeng Lai, Yi Huang, Wei Gao, Lingling Tang, Siting Zhong

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Research and Application of Globally Optimized Sequence Stratigraphic Seismic Interpretation Technology: Taking the Lower Cretaceous Shahezi Formation of Xujiaweizi Fault Depressio... by Xiaowei Guan, Qian Meng, Chuanjin Jiang, Xinyu Liu, Menglu Han

“…Traditional seismic interpretation and the establishment of a 3D sequence stratigraphic structure model are a difficult research work. …”
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A clinical treatment recommender system optimizing adjuvant chemoradiotherapy benefit in Chinese women with breast cancer using interpretable causal Bayesian networks by Ruoyu Wang, Simiao Tian, Zhe Wang, Yiou Wang, Dianlong Zhang, Jianing Jiang, Yongqiang Yao, Hongshen Chen, Hong Fang, Mingqian Cao

“…Interpretation: In this prognostic study based on clinical real-world data, a CBN model was developed that accurately predicted two important outcomes for women with BC, and it has the potential to identify patients who could benefit from chemoradiotherapy. …”
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Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN by Dengyi Wang, Ming Peng, Liu Liu, Xiongyao Xie, Zhenming Shi, Yaoying Liang, Jian Shen, Qiyu Wu

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Modeling of GPR Clutter Caused by Soil Heterogeneity by Kazunori Takahashi, Jan Igel, Holger Preetz

“…In small-scale measurements, ground-penetrating radar (GPR) often uses a higher frequency to detect a small object or structural changes in the ground. GPR becomes more sensitive to the natural heterogeneity of the soil when a higher frequency is used. …”
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Mercury Spectrophotometric Modeling Using MESSENGER Data by Vesa Björn, Karri Muinonen, Antti Penttilä, Deborah Domingue

“…A theoretical particulate-medium model is used to interpret the observed reflectance. …”
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Spatial modeling of human potential in the Republic of Bashkortostan by I. A. Lakman, A. V. Gorshechnikova, N. K. Shamsutdinova, V. B. Prudnikov

“…The final part of the study was devoted to the interpretation of the results of spatialregression modeling. …”
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Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation by Yuxiang Liao, Haishan Xiang, Hantao Liu, Irena Spasic

“…We developed a joint entity and relation model and proposed a novel auxiliary component to enhance the model performance by interpreting token-level information. …”
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A Mechanism for Slow Electrostatic Solitary Waves in the Earth’s Plasma Sheet by Gurbax Singh Lakhina, Satyavir Singh

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The use of mathematical Modeling and linear programming in agribusiness by Jandrić Mersida, Vico Grujica, Nedeljković Miroslav

“…The authors have dedicated themselves specifically to defining planning processes, classifying models, and organizing production structures, including vertical and horizontal structures. …”
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Notes on Lev Vygotsky’s “The Psychology of Art”: The Metamorphoses of Its Evaluation by Russian Psychologists by Vladimir S. Sobkin

“…It is shown that in "The Psychology of Art" when studying the peculiarities of aesthetic reaction and cathartic experience Vygotsky uses not only the principles of structural, functional and genetic analysis of the artwork, but also a wide range of psychotechnical techniques aimed at interpreting the meaning of the artwork. …”
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Interpretable machine learning approach to predict Hepatitis C virus NS5B inhibitor activity using voting-based LightGBM and SHAP by Teuku Rizky Noviandy, Aga Maulana, Irvanizam Irvanizam, Ghazi Mauer Idroes, Nur Balqis Maulydia, Trina Ekawati Tallei, Muhammad Subianto, Rinaldi Idroes

“…To enhance the interpretability of the model, we performed SHAP analysis, which identified critical molecular features influencing bioactivity and facilitated a deeper understanding of the model's decision-making process. …”
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Geoelectrical images of normal fault zones: tectonophysical interpretation of the shallow-depth electrical resistivity tomography data on the Buguldeika-Chernorud graben in the Wes... by K. Zh. Seminsky, A. A. Bobrov

“…This model can be widely used for diagnostics of tectonic settings and crustal extension structures in other regions.…”
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Interpretable neural network predictions of high-intensity femtosecond x-ray free-electron laser pulses using sulfur K-shell emission spectra by Harald Agelii, Alfredo Bellisario, Carl Caleman, Nicusor Timneanu, Sebastian Cardoch

“…The emergence of high-intensity femtosecond duration x-rays from Free-Electron Lasers has enriched our understanding of the structure and dynamics of biological molecules at the atomic level. …”
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Explainable artificial intelligence for targeted protein degradation predictions by Francis J. Prael III, Jutta Blank, William C. Forrester, Lingling Shen, Raquel Rodríguez-Pérez

“…Explainable ML or, more generally, explainable artificial intelligence (XAI) aims at “opening the black box” by estimating how model inputs – e.g., chemical structures – contribute to model predictions. …”
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