Electrochemical Analysis of Carbon-Based Supercapacitors Using Finite Element Modeling and Impedance Spectroscopy by Ahmad Azizpour, Niko Bagovic, Nikolaos Ploumis, Konstantinos Mylonas, Dorela Hoxha, Ferry Kienberger, Nawfal Al-Zubaidi-R-Smith, Georg Gramse

“…For the physical interpretation of the measurement results, FEM was used. …”
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Interpreting Predictive Models through Causality: A Query-Driven Methodology by Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin

“…Instead, we propose a new framework that prioritizes the query of interest and then derives a query-driven methodology accordingly to the structure of the causal model. It results in a tailored predictive model adapted to the query and an adapted interpretability technique. …”
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PROBABLE FORECASTING IN THE COURSE OF INTERPRETING by Ye. B. Kagan, Yu. Yu. Shadrina

“…Translation practice has a heuristic nature and involves cognitive structures of consciousness of any interpreter. When preparing translators, special attention is paid to the development of their skill of probable forecasting.The aim of the present publication is to understand the process of anticipation from the position of the cognitive model of translation, development of exercises aimed at the development of prognostic abilities of students and interpreters when working with newspaper articles, containing metaphorical headlines.Methodology and research methods. …”
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Enhancing Emergency Cognitive Ability in College Students Under Emergencies: A Study of Influencing Factors and Hierarchical Relationships by Lei Chen, Hongxia Li

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Evaluation of the Competitiveness Model in the Steel Industry with a Technology Transfer Approach by Ali Amraei, Safieh Mehrinejad, Amir Bayattork

“…The model validation in this research was formed comprehensively with an interpretive-structural modeling approach.   …”
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Vertical distribution and factors influencing tropical forest soil magnetic susceptibility in Xishuangbanna, Southwest China by Xiaoling Zhang, Xiaoling Zhang, Xiaoling Zhang, Haidong Wang, Haidong Wang, Hongzhan Liu, Hongzhan Liu, Haixia Li, Haixia Li, Haixia Li, Yucheng Shi, Guangyu Zheng, Fengrui Li, Daxiang Liu, Xiaoping Jiang, Erhui Ren, Gangqiang Li

“…Linear regression and structural equation modeling were used to explore the relationships between soil factors and χlf, to identify the main factors influencing the vertical distribution of soil χlf, and to analyze the processes and mechanisms by which various factors affect χlf. …”
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Interpretable Optimization: Why and How We Should Explain Optimization Models by Sara Lumbreras, Pedro Ciller

“…Interpretability is widely recognized as essential in machine learning, yet optimization models remain largely opaque, limiting their adoption in high-stakes decision-making. …”
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Presenting the Model of Eco-Leadership in Elementary Schools with an Interpretive Phenomenological Approach by Adel Zahed babolan, Seyyedmohammad Seyyedkalan

“…This research aims to present an ecological leadership model in elementary schools with an interpretive phenomenological approach.Materials and Methods: The research method is qualitative regarding its objectives and interpretive phenomenology in data collection. …”
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Examining EFL Teachers’ Perceptions of Technological Pedagogical Content Knowledge and Web 2.0 Technologies Using a Structural Equation Modeling Technique by Behrang Mohammad-Salehi, Mehdi Vaez-Dalili

“…The present study sought to examine Iranian EFL teachers’ perceived knowledge of Web 2.0 technologies in light of Mishra and Koehler’s (2006) TPACK framework. To this end, a structural model was put forth on the basis of interactions of the TPACK seven-factor model. …”
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Psychometric properties of the Chinese version of the quality of nursing care scale among hospital nurses: a bifactor exploratory structural equation modeling analysis by Chiu-Shu Fang, Cheng-Hsien Li, Shu-Ching Ma, Fang-Ming Hwang, Maria Manuela Martins, Fan-Hao Chou

“…Model comparisons were conducted to determine the best-fitting factor structure. …”
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Modification of axes in rheometer curves quantitative interpretation by I. M. Agayants, A. S. Kuznetsov, N. Ya. Ovsyannikov

“…Some widely used for structuring process analysis means of quantic interpretation of rheometric curves is observed. …”
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Multilingual capabilities of GPT: A study of structural ambiguity. by Myung Hye Yoo, Joungmin Kim, Sanghoun Song

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SEISMOGENIC ZONE OF CAPE SHARTLAY (LAKE BAIKAL): SPECIFIC FEATURES OF STRUCTURE, DISPLACEMENTS AND RUPTURE GROWTH by O. V. Lunina, I. A. Denisenko, E. B. Ignatenko, A. A. Gladkov

“…In this connection, the present work was aimed at characterizing in detail the structure, displacements, and reconstruction of the rupture propagation model. …”
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Modelling of functional systems of managerial accounting by O.V. Fomina

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Combining large language models with interpretable models for explainable aspect-based sentiment analysis in the medical domain by Yang Zhang, Song Wen, Yanping Zhu, Zhijun Li, Xiaohui Wang

“…To address this issue, we propose a two-stage ABSA framework for healthcare, integrating large language models with interpretable classifiers. In the first stage, structured aspect-sentiment pairs are extracted from patient feedback using a large language model guided by chained prompts. …”
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Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making by V. Sathiya, S. Mahalakshmi, S. Ramabalan, M. Chinnadurai

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ASSESSMENT OF THE LOCALIZATION OF HYPOCENTERS OF CRUSTAL EARTHQUAKES RELATIVE TO THE DEPTH AND RELIEF OF THE BORDER DENSITY STRATIFICATION IN THE CRUST OF THE NORTHEASTERN SECTION... by N. K. Gayday

Subjects: “…deep structure…”
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From speech signal to syntactic structure: A computational implementation by Tina Bögel, Tianyi Zhao

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IDENTIFICATION OF LAMPUNG SEDIMENTARY BASIN (SE SUMATRA) USING GRAVITY FORWARD MODELING AND SEISMIC INTERPRETATION by D. R. Febriansanu, S. Husein, S. S. Surjono

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BERT2DAb: a pre-trained model for antibody representation based on amino acid sequences and 2D-structure by Xiaowei Luo, Fan Tong, Wenbin Zhao, Xiangwen Zheng, Jiangyu Li, Jing Li, Dongsheng Zhao

“…Here, we present a new pre-trained model called BERT2DAb. This model incorporates secondary structure information based on self-attention to learn representations of antibody sequences. …”
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