Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…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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Structural and tectonic conditions for the development of the Bering Sea sedimentary basin by S. A. Guryanov

“…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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Enhancing Structural Health Monitoring for structures subjected to time-variant operating conditions by Casper Aaskov Drangsfeldt, Luis David Avendano-Valencia, Marie Lützen

“…Essentially, if the structural characteristics remain constant, deviations from this normal condition can be interpreted as structural damage. …”
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Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network by Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu

“…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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Mapping the internal structures of fault zones of the sedimentary cover: a tectonophysical approach applied to interpret TDEM data (Kovykta gas condensate field) by K. Zh. Seminsky, I. V. Buddo, A. A. Bobrov, N. V. Misyurkeeva, Yu. P. Burzunova, A. S. Smirnov, I. A. Shelokhov

“…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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Predicting College Student Engagement in Physical Education Classes Using Machine Learning and Structural Equation Modeling by Liguo Zhang, Jiarui Gao, Liangyu Zhao, Zetan Liu, Anlin Guan

“…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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Clinically interpretable multiclass neural network for discriminating cardiac diseases by Agnese Sbrollini, Chiara Leoni, Micaela Morettini, Cees A. Swenne, Laura Burattini

“…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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AI-based quality assessment methods for protein structure models from cryo-EM by Han Zhu, Genki Terashi, Farhanaz Farheen, Tsukasa Nakamura, Daisuke Kihara

“…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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Inherited structure and coupled crust‐mantle lithosphere evolution: Numerical models of Central Australia by Philip J. Heron, Russell N. Pysklywec

“…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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Accurately Models the Relationship Between Physical Response and Structure Using Kolmogorov–Arnold Network by Yang Wang, Changliang Zhu, Shuzhe Zhang, Changsheng Xiang, Zhibin Gao, Guimei Zhu, Jun Sun, Xiangdong Ding, Baowen Li, Xiangying Shen

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Development of Practical Finite Element Models for Collapse of Reinforced Concrete Structures and Experimental Validation by Mario Bermejo, Anastasio P. Santos, José M. Goicolea

“…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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Estimation of the effective elastic thickness using global gravitational, lithospheric structure, and rheology models by Robert TENZER, Mehdi ESHAGH, Samurdhika RATHNAYAKE

“…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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The application obstacles of BIM technology in green building project and its key role path analysis by Ge Meng, Hao Hu, Long Chen

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Integrated framework for assessing green efficiency in European union countries: A hybrid ISM-NDEA approach by Afarin Rezaei, Hoda Moradi, Alireza Anvari

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METHODOLOGY OF CONSTRUCTING A STRUCTURAL MODEL FOR ESTIMATING THE MOTIVATION TO WORK OF AN EMPLOYEE OF A PROCESSING INDUSTRY by Liudmyla Shatalova

“…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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A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education by Afef Saihi, Mohamed Ben-Daya, Moncer Hariga, Rami As'ad

“…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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Informational ontological modeling by Viktor Ya. Tsvetkov, Nikita S. Kurdyukov

“…Structural and formal differences between information modeling, information retrieval technologies, and ontological modeling are demonstrated. …”
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Narrative structure of the pedagogical situation by Victoria V. Dobrova

“…Frames allow modeling and systematizing the structure and content of pedagogical situations. …”
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The asymptotic structure of cosmological integrals by Paolo Benincasa, Francisco Vazão

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Large Language Models: A Structured Taxonomy and Review of Challenges, Limitations, Solutions, and Future Directions by Pejman Peykani, Fatemeh Ramezanlou, Cristina Tanasescu, Sanly Ghanidel

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