“I would never have become an interpreter without social media”: online social media’s motivational dynamics in self-regulated interpreting learning by Zhiyu Cai, Shanshan Yang

“…Despite its growing role, the impact of OSM on interpreting learners’ motivation and SRL outcomes remains underexplored.MethodsGrounded in Zimmerman’s Cyclical Model of SRL, this study employed semi-structured interviews with 29 Chinese interpreting learners to examine OSM-mediated motivational dynamics throughout the Self-regulated interpreting learning process.ResultsOur findings reveal that OSM acts as a double-edged sword. …”
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Application of a geostatistical algorithm for correcting well logging data when modelling complex hydrocarbon deposits at the stage of additional field exploration by V. L. Shuster, O. V. Tjukavkina, I. S. Permyakova, I. L. Kapitonova

“…Additional exploration of oil and gas reserves requires the application of information technologies for modelling all technological processes and interpreting the results of geophysical well logging. …”
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Financial risk forecasting with RGCT-prerisk: a relational graph and cross-temporal contrastive pretraining framework by Liyu Chen, Xiangwei Fan

“…Abstract Financial risk forecasting is critical for the early detection of corporate distress, yet traditional methods and recent deep learning models exhibit notable limitations. Prior approaches often rely on predefined financial ratios or brute-force feature combinations, which may overlook the relational structures among financial items and suffer from high dimensionality. …”
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“Wind” and “Earth” Dialogue: A Study on the Connotation and Protection Strategy of “Water-Distributing Shrine” Landscape Structure—Taking Taiyuan City as an Example by Ruijie Zhang, Xinyuan Jiang, Haoran Li, Zhe Zhang

“…This article examines the Water-distributing Shrine landscape structure (WSLS)—a Japanese model comprising four spatial elements: focus, boundary, direction, and domain—and explores its relevance for interpreting the spatial logic of Chinese historical cities. …”
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Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 7. Internal logic 2 Oleg M. Polyakov by O. M. Polyakov

“…This forces us to consider logical operations that now take into account semantics, since they are related to the structure of the linguistic model. Analysis of the functioning of logical connectives with nouns and adjectives shows that they either provide identification of the state of concepts, or can be transferred to external logic, or can operate within the framework of a linguistic model. …”
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A hybrid self attentive linearized phrase structured transformer based RNN for financial sentence analysis with sentence level explainability by Md Tanzib Hosain, Md Kishor Morol, Md Jakir Hossen

“…In this study, we propose xFiTRNN, a hybrid model that integrates self-attention mechanisms, linearized phrase structure, and a contextualized transformer-based Recurrent Neural Network (RNN) to enhance both model performance and explainability in financial sentence prediction. …”
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Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China by Si Chen, Zhanwu Lu, Haiyan Wang, Qingyu Wu, Wei Cai, Guowei Wu, Guangwen Wang

“…Integration of the velocity model with regional geological data facilitated a comprehensive interpretation and structural analysis of the prospective shale gas zone. …”
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Description Generation Using Variational Auto-Encoders for Precursor microRNA by Marko Petković, Vlado Menkovski

“…Existing ML methods are often complex black boxes that do not create an interpretable structural description of pre-miRNA. In this paper, we propose a novel framework that makes use of generative modeling through Variational Auto-Encoders to uncover the generative factors of pre-miRNA. …”
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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

“…The simulation results show that the entire routine, encompassing RPM modeling, MIZ characterization, structural fusion, and SAR raw data generation, yields promising results in the realm of sea-ice remote sensing. …”
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Ways to improve the educational process of a university through a project approach by Victor Vasilyevich Babenko, Emin Zafar Yagubov

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An XGBoost-SHAP Model for Energy Demand Prediction With Boruta–Lasso Feature Selection by Yiwen Wang, Weibin Cheng, Yuting Jin, Jifei Li, Yantian Yang, Shaobing Hu

“…Energy demand prediction is essential in ensuring national energy security, promoting high-quality economic development, advancing sustainable development, optimizing the energy structure, and achieving dual carbon goals. In recent years, machine learning (ML) algorithms have been extensively used in energy demand prediction but with poor interpretability. …”
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Measuring satisfaction of sidewalk services as an urban space with the help of factor analysis methods and structural equations (case study: Valiasr sidewalk in Tabriz) by Ali Zeynali Azim, Solmaz Babazadeh Oskouei, Zeinab Noorizadeh

“…This is one of the first studies in Iran and the city of Tabriz, which uses the structural equation modeling (SEM) technique to evaluate the satisfaction of pedestrians and, as a result, the level of services provided in terms of quality on sidewalks. …”
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Designing modules of system dynamics in decision support systems by A. B. Sorokin, L. M. Zheleznyak, D. V. Suprunenko, V. V. Kholmogorov

“…It also tests the completeness and viability of the model.Conclusions. To date, there is no single conceptual structure for designing expert systems and situational and simulation dynamic models. …”
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A Mass‐Conserving‐Perceptron for Machine‐Learning‐Based Modeling of Geoscientific Systems by Yuan‐Heng Wang, Hoshin V. Gupta

“…The MCP exploits the inherent isomorphism between the directed graph structures underlying both PC models and GRNNs to explicitly represent the mass‐conserving nature of physical processes while enabling the functional nature of such processes to be directly learned (in an interpretable manner) from available data using off‐the‐shelf ML technology. …”
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Structural racism and breast cancer stage at presentation in a South Florida majority-minority population: a retrospective studyResearch in context by Alexandra E. Hernandez, Maya Lubarsky, Ashly C. Westrick, Brianna L. Cohen, Cheyenne Thompson, Susan B. Kesmodel, Neha Goel

“…Our findings suggest that structural racism influences stage at presentation. …”
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ASSESSMENT OF THE INFLUENCE OF MODERN CRUSTAL MOVEMENTS AND THE RECENTLY ACTIVATED PRECAMBRIAN STRUCTURAL PLAN ON THE RELIEF OF THE LAKE LADOGA REGION (THE SOUTHEASTERN BALTIC SHIE... by A. O. Agibalov, V. A. Zaytsev, A. A. Sentsov, A. S. Devyatkina

“…Using the LESSA software, we have estima­ted the relief orientation characteristics: the density of lineaments, and elongation lines, which are indicative of the changes in the dominant directions of the strike of the lineaments (‘hatches’) in the study area. By interpreting the satellite images and the topographic maps (scale 1:20000), we reveal a number of geological structures, such as gra­nite-gneiss domes and large-size faults, which are directly reflected in the relief. …”
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Geometry Meets Attention: Interpretable Transformers via SVD Inspiration by Vasileios Arampatzakis, George Pavlidis, Nikolaos Mitianoudis, Nikos Papamarkos

“…This work provides a theoretical foundation and diagnostic framework for structured attention models aimed at interpretability, compression, and semantic transparency.…”
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Corona blue among us: associations between risk perception, visits to urban spaces, and mental health in Seoul, Korea and Shanghai, China by Hyungchul Chung, Jaekyung Lee, Seul Lee, Jiwon Lee, Tae-Hyoung Tommy Gim, Yunmi Park

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A traceability model for upper corner gas in fully mechanized mining faces based on XGBoost-SHAP by SHENG Wu, WANG Lingzi

“…To address the weak interpretability caused by the "black-box" structure of current gas concentration prediction models in the upper corner of fully mechanized mining faces, a gas traceability model based on XGBoost-SHAP was proposed for the upper corner of fully mechanized mining faces. …”
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Cultural recycling of the Soviet in internet memes: semiotic linguistic interpretation by T. V. Marchenko

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