Deep Forest Modeling: An Interpretable Deep Learning Method for Mineral Prospectivity Mapping by Yue‐Lin Dong, Zhen‐Jie Zhang

“…Currently, neural network‐based approaches dominate deep learning (DL), but they lack interpretability and have high modeling complexity, making them less effective for complex problems and time‐consuming. …”
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Bayesian networks for causal analysis in socioecological systems by Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro A. Aguilera, Antonio Salmerón

“…For this, we propose the use of structural causal models, which are kind probabilistic models for causal analysis that simplify this kind of reasoning due to their graphical representation. …”
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COMPARATIVE ANALYSIS OF NEOGEODYNAMICS OF THE BALTIC SYNECLISE AND THE NORTHERN SLOPE OF THE VORONEZH ANTECLISE A by A. O. Agibalov, V. A. Zaitsev, A. A. Sentsov

“…The paper presents the results of comparative neogeodynamic analysis of the Baltic syneclise and northern Voronezh anteclise based on structural-geomorphological interpretation, digital elevation model (DEM) processing procedure using LESSA program [Zlatopolsky, 2011], seismic analysis, and computer geodynamic modeling. …”
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Interpretable machine learning models classify minerals via spectroscopy by R. Smith, Tyler L. Spano, Marshall McDonnell, Lance Drane, Ian Gibbs, Andrew Miskowiec, J. L. Niedziela, Ashley E. Shields

“…Physically meaningful classifier models can rapidly identify key structural and chemical information about unknown uranium minerals and the overall methodology is broadly applicable for mineral phases.…”
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Model interpretability on private-safe oriented student dropout prediction. by Helai Liu, Mao Mao, Xia Li, Jia Gao

“…Additionally, the poor interpretability of these models complicates their use in educational management, as it is difficult to justify identifying a student as high-risk based on an opaque model. …”
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A Structured Causal Framework for Operational Risk Quantification: Bridging Subjective and Objective Uncertainty in Advanced Risk Models by Guy Burstein, Inon Zuckerman

“…Finally, we assess the overall risk based on the cause-and-effect structure. We conducted real-world illustrative examples comparing risk-level assessments with traditional experience-based auditor judgments to evaluate our proposed model. …”
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ANALYSIS OF THREE-DIMENSIONAL SPATIAL STRUCTURES IN ARCHAEOASTRONOMY: 3D MODEL OF THE ROCK-CUT MONUMENT “BELINTASH“, BULGARIA by Ognyan OGNYANOV, Penka MAGLOVA, Alexey STOEV

“…The analysis of spatial structures allows significantly more accessible and authentic extraction of archaeoastronomical data and their interpretation.…”
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Using multiple computer-predicted structures as molecular replacement models: application to the antiviral mini-protein LCB2 by Svetlana A. Korban, Oleg Mikhailovskii, Vladislav V. Gurzhiy, Ivan S. Podkorytov, Nikolai R. Skrynnikov

“…In this report, we describe a set of structures of the engineered protein LCB2 that has been solved starting from different computer-predicted molecular replacement (MR) models. …”
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Transfer learning radiomic model predicts intratumoral tertiary lymphoid structures in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Feng Yi, Shichao Long, Mengsi Li, Linhui Zhong, Wenguang Liu, Deng Pan, Ganmian Dai, Wenzheng Li, Yue Ruan, Bocheng Zou

“…After features dimensionality and selection, corresponding features were used to construct transfer learning radiomic (TLR) models for diagnosing iTLS, and model interpretability was explored with pathway analysis in The Cancer Genome Atlas-Liver HCC. …”
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The Northern Giona Fault Zone, a Major Active Structure Through Central Greece by Leonidas Gouliotis, Dimitrios Papanikolaou

“…Based on the general asymmetry of the alpine units in the hanging wall, we interpret a listric fault geometry at depth using slip-line analysis and we forward modelled a disrupted fault-propagation fold using kinematic trishear algorithms, estimating a total displacement of 6500 m and a throw of approximately 2000 m. …”
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ANALYSIS OF THE FAULT-BLOCK STRUCTURE AND STRESS STATE OF THE SEDIMENTARY COVER IN GAS-CONDENSATE DEPOSITS: BASICS OF THE TECTONOPHYSICAL APPROACH by K. Zh. Seminsky, Yu. P. Burzunova, S. A. Bornyakov, A. I. Miroshnichenko, A. S. Cheremnykh, A. K. Seminsky, I. V. Buddo, A. S. Smirnov, I. V. Gorlov

“…The model is based on the concept of a zone-block structure of the platform cover, which is formed by a network of subvertical and subhorizontal fault zones that divide it into less faulted blocks. …”
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The Pendulum of Adherence: An Interpretative Phenomenological Analysis of Psoriasis Treatment Discontinuation by Xiao Z, Jiang Y, Samah NA, Zhou H, Wang J

“…A patient-centred, community-based, and adaptive approach is essential to bridging the gap between clinical recommendations and real-world treatment adherence, thereby improving long-term disease management and enhancing psoriasis patients’ quality of life.Keywords: psoriasis, lived experience, treatment adherence, interpretative phenomenological analysis, PPCT model, treatment discontinuation, patient-centered…”
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3D structural modeling of lower cretaceous Alam El Bueib reservoir in Menes field, Shushan Basin, north Western Desert, Egypt by Hany Samy Ibrahim, Walid M. Mabrouk, Ahmed M. Metwally

“…This formation is characterized by thick, massive, argillaceous, and calcareous sandstones interbedded with shale and carbonate layers. 2D seismic profiles are interpreted to delineate the structural features of the subsurface. …”
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Autonomous defect estimation in aluminum plate and prognosis through stochastic process modeling by Mrudul Jambulkar, Shivam Ojha, Amit Shelke, Anowarul Habib

“…The method demonstrates high accuracy in estimating defect geometry and prognostic trajectories while maintaining low computational complexity. This unified, interpretable approach is generalizable to a range of materials and holds strong potential for real-time structural health monitoring (SHM) in safety-critical domains.…”
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Modern challenges in improving business processes of digital organisation of enterprise structure in construction industry by N. V. Vozgoment

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Dynamic ensembles with variable structure and friction simulation by I. V. Feldstein, N. N. Kuzmin

“…The paper presents an approach to the simulation of friction interaction. The model does not use any physical descriptions of the processes in the system, but it has simple physical interpretation. …”
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Recent Advances in Omics, Computational Models, and Advanced Screening Methods for Drug Safety and Efficacy by Ahrum Son, Jongham Park, Woojin Kim, Yoonki Yoon, Sangwoon Lee, Jaeho Ji, Hyunsoo Kim

“…These insights are further enhanced by computational tools, including quantitative structure–activity relationship (QSAR) analyses and machine learning models, which accurately predict toxicity endpoints. …”
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Döngüsel Ekonomi Önündeki Engellerin Yorumlayıcı Yapısal Modelleme Ve MICMAC Analizi İle Değerlendirilmesi by Yeşim Can Sağlam

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The use of space geophysics data to establish a subsurface structural frameworks map on East Uweinat ring complexes province, Southwestern Desert, Egypt by Yaseen AAMER, Ashraf GHONEIMI, Salah HANAFY, Mohamed H. M. YOUSEF, Sara ZAMZAM

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Machine Learning Models for Predicting Seismic Response of a Novel Two-Stage Friction Pendulum Isolated Bridge Structure by Hanzlah Akhlaq, Tianbo Peng, Kawsu Jitteh, Muhammad Salman Khan

“…Furthermore, a comparison of different surrogate models was conducted for global feature interpretation, while SHAP analysis was used for local interpretation to identify the influence of input parameters on individual structural responses. …”
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