GLARA: A Global–Local Attention Framework for Semantic Relation Abstraction and Dynamic Preference Modeling in Knowledge-Aware Recommendation by Runbo Liu, Lili He, Junhong Zheng

“…Additionally, case studies confirm the model’s interpretability by tracing recommendation paths through clustered semantic relations. …”
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Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers by Mohammed Abdul Lateef Junaid

“…The review also addresses challenges such as data quality, model interpretability, and ethical considerations. …”
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Deciphering Customer Satisfaction: A Machine Learning-Oriented Method Using Agglomerative Clustering for Predictive Modeling and Feature Selection by Rezki Nisrine, Mansouri Mohamed, Oucheikh Rachid

“…By systematically integrating clustering techniques into the feature selection and modeling process, this framework furnishes a structured methodology for data-driven decision-making and predictive analytics. …”
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Psychometric models of emerging adulthood: an evaluation in a Chilean university sample by Paula Boero, Italo Trizano-Hermosilla, Eugenia V. Vinet

“…The 31 items of the instrument were descriptively analyzed, followed by analyses to determine the best-fitting factorial model. Confirmatory Factor Analyses and Exploratory Structural Equation Modeling were utilized. …”
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Molecular Models for the Core Components of the Flagellar Type-III Secretion Complex. by William R Taylor, Teige R S Matthews-Palmer, Morgan Beeby

“…As there is still no high resolution structural information on any of these proteins, we hope our predicted models may be of some use in aiding the interpretation of electron microscope images and in rationalising mutation data and experiments.…”
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Quantifying chemomechanical weakening in muscovite mica with a simple micromechanical model by Jordan J. Sickle, William M. Mook, Frank W. DelRio, Anastasia G. Ilgen, Wendelin J. Wright, Karin A. Dahmen

“…Here, the statistics of these displacement events are interpreted using a statistical model previously used to model earthquakes to understand how chemically reactive environments alter the surface properties of this material. …”
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Influence Analysis and Spectral Shape Correction of Nuclear Magnetic Logging in Ultra-Deep Oil and Gas Wells by CHEN Guojun, ZHANG Xiao, GAO Ming, ZHANG Fan, ZHANG Jin, FAN Xiaoqin

“…Through the experimental parameters, the reservoir is divided into three types to establish a correction model. The application results show that the corrected T2 spectrum can more truly reflect the pore structure characteristics, and the average relative error of the mobile porosity before calculation is reduced from 25% to 7% compared with the mobile porosity after calculation, effectively improving the interpretation accuracy of the mobile porosity. …”
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A brain-inspired sequence learning model based on a logic by Bowen Xu

“…Abstract Sequence learning is a crucial aspect of intelligence research, with sequence prediction tasks commonly used to evaluate the performance of sequence learning models. This paper introduces and tests a novel sequence learning model that mimics the structure of neocortical mini-columns and is grounded in Non-Axiomatic Logic, offering interpretability. …”
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CONCEPTOSPHERE AS AN ELEMENT OF CULTURAL-PHILOSOPHY MODEL OF A LITERARY AND ARTISTIC WORK by Ivan Yu. Makarchuk

“…The structural elements of the cultural-philosophical model of a literary and artistic work, along with the concept sphere of the corresponding literary and artistic work, include: the sum of humanitarian studies of a literary and artistic work, its main cultural and philosophical idea, genre, as well as a writer’s biography. …”
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A predictive model for damp risk in english housing with explainable AI by Gulala Aziz, Adam Hardy

“…Abstract Damp in residential buildings poses risks to indoor air quality, occupant health, and structural integrity, and affects up to 27% of homes in the England. …”
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Excitations in strict 2-group higher gauge models of topological phases by Alex Bullivant, Clement Delcamp

“…This model, which has a higher gauge theory interpretation, provides a lattice Hamiltonian realisation of the Yetter homotopy 2-type topological quantum field theory. …”
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Model-based Bayesian Fusion-Net for infrared and visible image fusion by Wang Li, Kuang Yafang, Cai Ziyi, Chu Ning, Mohammad-Djafari Ali

“…By formulating image fusion as an inverse problem within a hierarchical Bayesian framework, our method leverages physical priors and data-driven techniques to enhance model interpretability and transferability. Compared to traditional and deep learning-based fusion methods, the proposed Bayesian Model-based Fusion-Net achieves promising performance with significantly reduced computational complexity (0.07G FLOPs). …”
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Modelling customers’ satisfaction with educational services provided by higher education institutions by A. . Kolesnikov, I. . Lebedeva

“…The typical situations of satisfaction are revealed regarding different educational forms, stages and specialties.The structure of latent satisfaction factors obtained in the exploratory factorial analysis for different types of customers is analyzed, the models of cause-effect relations between themare considered. …”
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Innovative technology of operational searching, exploration and development of oil and gas fields (Example of the Velichaevo-Kolodez field) by Vladimir Mikhailovich Kharchenko, Alina Evgenyevna Domareva, Galina Valentinovna Kolyadova, Valery Petrovich Mochalov

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Designing an Organisational Strategic Planning Model in the Iranian Forensic Medicine Organisation by Nastaran Siahchehreh Soraki, Mohammadreza Bagherzadeh, Yousef Gholipour Kanaani, Mojtaba Tabari

“…The method of data collection was library studies and semi-structured interviews, and MAXQDA version 20 software was used for data analysis. …”
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Interformer: an interaction-aware model for protein-ligand docking and affinity prediction by Houtim Lai, Longyue Wang, Ruiyuan Qian, Junhong Huang, Peng Zhou, Geyan Ye, Fandi Wu, Fang Wu, Xiangxiang Zeng, Wei Liu

“…Abstract In recent years, the application of deep learning models to protein-ligand docking and affinity prediction, both vital for structure-based drug design, has garnered increasing interest. …”
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Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation by Kensuke Nakamura, Bong-Soo Sohn, Simon Korman, Byung-Woo Hong

“…This dual-path structure enables effective regularization while suppressing leakage through a trajectory shift in the diffusion process. …”
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Animal Models in Periodontal Research: Insights into Disease Pathogenesis and Therapeutic Strategies by Koduru Sravani, Ashwin Prabhu, Pallavi Nanaiah, Archana R Naik, Anupama Aradya, Pradeep Chandra K

“…Clinical manifestations include gingival inflammation tooth-supporting structure breakdown tooth mobility and ultimately tooth loss. …”
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A hierarchical trait and state model for decoding dyadic social interactions by Qianying Wu, Shigeki Nakauchi, Mohammad Shehata, Shinsuke Shimojo

“…This pipeline resulted in an interpretable, seven-dimensional EEG latent space that revealed a trait to state (trait-state) hierarchical structure, with macro-segregation capturing neural traits and micro-segregation capturing neural states. …”
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Analysis of the Causal Model of the Effective Criteria on the Development of Creative Tourism in Iran by Ahmad hajarian

“…Results According to the structure of complex processes involved in tourism, the results of the implementation of the fuzzy Dimetal model for the sub-criteria of the creative process indicated that workshops and training classes are the most effective sub-criteria of the creative process and cultural and artistic competitions. …”
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