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Machine Learning Models for Predicting Seismic Response of a Novel Two-Stage Friction Pendulum Isolated Bridge Structure
Published 2025-01-01“…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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222
Electrochemical Analysis of Carbon-Based Supercapacitors Using Finite Element Modeling and Impedance Spectroscopy
Published 2025-03-01“…For the physical interpretation of the measurement results, FEM was used. …”
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223
Interpreting Predictive Models through Causality: A Query-Driven Methodology
Published 2023-05-01“…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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224
PROBABLE FORECASTING IN THE COURSE OF INTERPRETING
Published 2017-09-01“…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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225
Vertical distribution and factors influencing tropical forest soil magnetic susceptibility in Xishuangbanna, Southwest China
Published 2025-07-01“…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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226
Interpretable Optimization: Why and How We Should Explain Optimization Models
Published 2025-05-01“…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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227
Examining EFL Teachers’ Perceptions of Technological Pedagogical Content Knowledge and Web 2.0 Technologies Using a Structural Equation Modeling Technique
Published 2022-03-01“…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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228
Psychometric properties of the Chinese version of the quality of nursing care scale among hospital nurses: a bifactor exploratory structural equation modeling analysis
Published 2025-03-01“…Model comparisons were conducted to determine the best-fitting factor structure. …”
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229
Modification of axes in rheometer curves quantitative interpretation
Published 2015-04-01“…Some widely used for structuring process analysis means of quantic interpretation of rheometric curves is observed. …”
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230
Multilingual capabilities of GPT: A study of structural ambiguity.
Published 2025-01-01Get full text
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231
SEISMOGENIC ZONE OF CAPE SHARTLAY (LAKE BAIKAL): SPECIFIC FEATURES OF STRUCTURE, DISPLACEMENTS AND RUPTURE GROWTH
Published 2024-08-01“…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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Designing an Earnings Management Improvement Model for Iranian knowledge-based Firms
Published 2022-12-01“…This study is interpretive in the model exploration phase and positivist in the model testing phase, and in general, this is applied research. …”
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234
Combining large language models with interpretable models for explainable aspect-based sentiment analysis in the medical domain
Published 2025-08-01“…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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235
Analysis of key challenges to implementation of FEFO in perishable food supply chain
Published 2025-06-01Subjects: Get full text
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236
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...
Published 2017-12-01Subjects: “…deep structure…”
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237
Coordinated empathy in attending general practitioners: an interpretive phenomenological approach to constructing a conceptual model of empathy
Published 2025-04-01“…Methods We conducted four semi-structured interviews with three board-certified attending general practitioners. …”
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238
From speech signal to syntactic structure: A computational implementation
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BERT2DAb: a pre-trained model for antibody representation based on amino acid sequences and 2D-structure
Published 2023-12-01“…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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