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141
Literary-Cartographic Models in the Corpus of Czech Prose
Published 2024-12-01Subjects: Get full text
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142
Visual Graphical Interpreted Language for Discrete Modeling DLAA
Published 2025-04-01Get full text
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143
PROBLEMS OF GEOLOGICAL INTERPRETATION OF SEISMIC-FOCI SYSTEMS OF THE EARTH’S CRUST (GEOMECHANICS AND TECTONOPHYSICAL ANALYSIS)
Published 2015-09-01“…The problems of geodynamics and geostatics of the seismic-foci systems and their concentrations, as well as anthropogenic models and mechanisms of focus medium structuring are reviewed. …”
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144
Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction
Published 2025-12-01“…This study proposes a novel probabilistic model called the matrix-variate Gaussian process (GP) with structured kernels while focusing on the periodicity. …”
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145
Structural and tectonic conditions for the development of the Bering Sea sedimentary basin
Published 2022-12-01“…To identify the structural and tectonic characteristics of the Bering Sea by interpreting the results obtained during a geodynamic analysis of sedimentary basin formation, based on the tectonic and geodynamic paleoreconstructions and sedimentary basin modelling of the Bering Sea.Materials and methods. …”
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146
Enhancing Structural Health Monitoring for structures subjected to time-variant operating conditions
Published 2024-12-01“…Essentially, if the structural characteristics remain constant, deviations from this normal condition can be interpreted as structural damage. …”
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147
Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making
Published 2025-07-01Subjects: Get full text
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148
Enhancing Emergency Cognitive Ability in College Students Under Emergencies: A Study of Influencing Factors and Hierarchical Relationships
Published 2024-11-01Subjects: Get full text
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149
Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network
Published 2024-11-01“…Traditional subsurface characterization relies on two primary types of data: hard data, derived from direct subsurface measurements, and soft data, encompassing remotely sensed geophysical information and its interpretation. Existing deep‐learning‐based methodologies predominantly focus on the transition from multiple observations to subsurface structures. …”
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150
Mapping the internal structures of fault zones of the sedimentary cover: a tectonophysical approach applied to interpret TDEM data (Kovykta gas condensate field)
Published 2019-12-01“…The article presents the results of studying the internal structures of platform fault zones with the use of a new tectonophysical approach to processing and interpretation of electrical exploration data obtained by the transient elec‐ tromagnetic method in the near field zone (TEM). …”
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151
Predicting College Student Engagement in Physical Education Classes Using Machine Learning and Structural Equation Modeling
Published 2025-04-01“…This study aims to develop an interpretable machine learning model to predict student classroom engagement based on various digital technologies and construct a structural equation model (SEM) to further investigate the underlying mechanisms involving perceived usefulness (PU), perceived ease of use (PEU), and academic self-efficacy (ASE). …”
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152
Clinically interpretable multiclass neural network for discriminating cardiac diseases
Published 2025-01-01“…Classification performance was evaluated by the area under the curve of the receiver operating characteristics. Clinical interpretability was assessed by standard statistical analysis and the local interpretable model-agnostic explainer algorithm. …”
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153
AI-based quality assessment methods for protein structure models from cryo-EM
Published 2025-06-01“…Validation scores for structure models have been developed to assess both the compatibility between map density and the structure, as well as the geometric and stereochemical properties of protein models. …”
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154
Inherited structure and coupled crust‐mantle lithosphere evolution: Numerical models of Central Australia
Published 2016-05-01“…This tectonic isolation of the mantle lithosphere from glacial processes may further assist in the identification of a controlling inherited structure in intraplate orogenesis. Our models are interpreted in the context of Central Australian tectonics (specifically the Petermann and Alice Springs orogenies).…”
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155
Accurately Models the Relationship Between Physical Response and Structure Using Kolmogorov–Arnold Network
Published 2025-03-01Get full text
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156
Development of Practical Finite Element Models for Collapse of Reinforced Concrete Structures and Experimental Validation
Published 2017-01-01“…Both are capable of simulating correctly the global behavior of the structural collapse. The continuum finite element model is more accurate for interpreting local failure but has an excessive computational cost for a complete building. …”
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157
Estimation of the effective elastic thickness using global gravitational, lithospheric structure, and rheology models
Published 2025-06-01“…For the former, we used global lithospheric age and upper-mantle temperature models. For the latter, we derived this parameter using global gravitational, lithospheric structure, and rheology models. …”
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158
Presenting the Model of Eco-Leadership in Elementary Schools with an Interpretive Phenomenological Approach
Published 2024-10-01“…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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159
METHODOLOGY OF CONSTRUCTING A STRUCTURAL MODEL FOR ESTIMATING THE MOTIVATION TO WORK OF AN EMPLOYEE OF A PROCESSING INDUSTRY
Published 2024-12-01“…The methods of system analysis, generalisation, cross-comparison, induction and deduction were used to identify the object of research as a stage of building a structural model for assessing the level of motivation of the personnel of a processing industry enterprise to effectively use its competence potential. …”
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160
A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education
Published 2024-12-01“…In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing and validating a comprehensive model to understand the multifaceted factors impacting the acceptance and use of these chatbots. …”
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