RESEARCH OF DIKW AND 5C ARCHITECTURAL MODELS FOR CREATION OF CYBER-PHYSICAL PRODUCTION SYSTEMS WITHIN THE CONCEPT OF INDUSTRY 4.0 by Sergei Osadchy, Nataliia Demska, Yuriy Oleksandrov, Viktoriia Nevliudova

“…To achieve this goal, it is necessary to solve the following tasks: analyze the DIKW model; analyze the architectural model 5C; compare the DIKW model and the 5C architectural model, using its structural decomposition into levels, information and command channels with feedback within each structure.  …”
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MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors by Abena Achiaa Atwereboannah, Wei-Ping Wu, Mugahed A. Al-antari, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Edwin K. Tenagyei, Grace-Mercure B. Kissanga, Gyarteng S. A. Emmanuel, Yeong Hyeon Gu, Emmanuel Ahene

“…An explainable AI (XAI) module is incorporated into the model to support biological interpretation, using visualization techniques such as heatmaps. …”
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Bridging human and machine intelligence: Reverse-engineering radiologist intentions for clinical trust and adoption by Akash Awasthi, Ngan Le, Zhigang Deng, Rishi Agrawal, Carol C. Wu, Hien Van Nguyen

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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. …”
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Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures by Mohammed Maree, Wala’a Shehada

“…Our results revealed that while conventional models excel at processing structured data, LLMs significantly enhance the interpretation and matching of intricate textual information. …”
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Risk Assessment of High-Voltage Power Grid Under Typhoon Disaster Based on Model-Driven and Data-Driven Methods by Xiao Zhou, Jiang Li

“…Subsequently, the Tree-structured Parzen Estimator (TPE) is leveraged to optimize the hyperparameters of the LightGBM model, thus enhancing its prediction accuracy. …”
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Conceptual Model of Factors Affecting Mathematics Literacy Based on the Perspective of 9th Grade Students: A Qualitative Research by Narges Yaftian, Maryam Shayan

“…The data were collected with a qualitative approach and the use of semi-structured interviews. The research participants were among the 9th grade students of Isfahan city, who were selected using a purposeful approach and criteria-based sampling. …”
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Promoting the sustainable development of the provincial electricity spot market: supervision obstacle identification, analysis, and solutions based on the ISM-DEMATEL model by Yi Li, Wulei Xue, Yi Zhang, Xiande Zheng, Liumao Yang

“…Considering uncertainty and redundancy in subjective obstacle identification, interpretive structural modeling (ISM) is introduced to refine the original decision-making trial and evaluation laboratory (DEMATEL) method to remove redundancy obstacles and further analyze the comprehensive importance and causal relationships. …”
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THE DISTINQUISHING FEATURES OF THE FAULTS IN THE PLATFORM COVER: RESULTS OF THE APPLICATION OF TECTONOPHYSICAL APPROACH TO THE STUDY OF THE TAMBEY HYDROCARBON DEPOSIT (YAMAL PENINS... by K. Zh. Seminsky, Yu. P. Burzunova, A. I. Miroshnichenko, S. A. Bornyakov, A. A. Nezhdanov, A. V. Ershov, A. S. Smirnov, I. V. Buddo, A. K. Seminsky, A. S. Cheremnykh, I. V. Kachinskas

“…Finally, based on tectonophysical interpretation of 3D seismic attribute analysis data and elastoplastic modeling experiment results, for the northern Tambey area at the local level there were identified the faults zones, the features of their structures in rheologically stratified unit, and the paragenetic relationship with the regional-level structures. …”
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Exploring the differential responses of ecosystem services to urbanization: A perspective from the metropolitan area as a whole and internal service bundles by Xianxin Meng, Zhenxiang Ling, Yingbiao Chen, Xiaohao Zheng, Xianghua Shi, Junyu Kuang, Wentao Chen, Yifan Yang, Zhifeng Wu, Zihao Zheng

“…This study employs ecological models, machine learning techniques, and post-hoc interpretive models to comprehensively analyze the spatiotemporal responses of ecosystem services to urbanization. …”
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Performance evaluation of anti-avalanche measures at the «Krasnaya Polyana» ski resort by D. I. Korovina, A. S. Turchaninova, S. A. Sokratov

“…Differences in the impact of simulated avalanches on the resort infrastructure were interpreted as «high», «medium» and «low» effectiveness of existing antiavalanche measures. …”
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VISUALIZATION OF MOVEMENT IN GYMNASTICS EXERCISES by Iliya Kiuchukov

“…We have constructed an anthropomorphic structure (model) which resembles the shape of a human body. …”
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Ethical Practices in Modern Academia: Does Length of Educational Experience and Quality of Governance Contribute to a Deeper Understanding of Academic Integrity? by Dimitry Borissov, Olha Liuta

“…A comparison between GAM and polynomial regression models shows similar explanatory power, with GAM offering greater flexibility in capturing non-linear patterns while polynomial regression provides a more explicit interpretative framework.…”
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Deux modèles récents de la parenté à l’épreuve de la noblesse française d’Ancien Régime by Elie Haddad

“…Two recent models of kinship put to the test of Old Regime French nobilityThis paper proposes to test two recent models of interpretation of kinship by applying them to Old Regime French Nobility. …”
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Integrating AlphaFold2 models and clinical data to improve the assessment of Short Linear Motifs (SLiMs) and their variants' pathogenicity. by Franco Gino Brunello, Lorenzo Erra, Juan Nicola, Marcelo Adrián Martí

“…In this study, we demonstrate that these interactions can be modeled using AlphaFold2 (AF2) to generate high-quality structures that serve as input for our MotSASi method. …”
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A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images by Esra Gundogan

“…It also incorporates Grad-CAM, which makes the black-box structure of the model transparent and the decision-making process more understandable. …”
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LANGUAGE FEATURES OF THE ORGANIZATION OF THE POLAR MODEL OF THE WORLD IN N. V. GOGOL'S STORIES "THE ENCHANTED PLACE" AND "EVENING ON THE EVE OF IVAN KUPALA" by S. Krasnokutskaya, V. Khodus

“…The category of space in the text is perceived as a set of linear signs as a complex of meanings. With this interpretation, the text is considered as "a mental formation, a mental space that has a certain specificity". awareness of the "space of the text" allows linguists to present the text as an integral system in which structural connections are found that can help in the course of understanding the meanings inherent in the text. …”
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Financial Dynamics of Cooperatives of the Popular and Solidarity Economy of Ecuador: An Analysis Using the Tucker3 Model and Projection with Multidimensional Neutrosophic Regressio... by Gabriela Valeria Bustos–Chiliquinga, Purificación Galindo-Villardón, Cristian Cornejo Gaete

“…This study relies on the Tucker3 model as a factorization model of multivariate analyses since the goal is to evaluate the financial dependency structure of Ecuador's cooperative sector of the Popular and Solidarity Economy (PSE) between 2016–2023. …”
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An Innovative Artificial Intelligence Classification Model for Non-Ischemic Cardiomyopathy Utilizing Cardiac Biomechanics Derived from Magnetic Resonance Imaging by Liqiang Fu, Peifang Zhang, Liuquan Cheng, Peng Zhi, Jiayu Xu, Xiaolei Liu, Yang Zhang, Ziwen Xu, Kunlun He

“…While cardiac magnetic resonance (CMR) offers gold-standard structural assessment, current morphology-based AI models frequently overlook key biomechanical dysfunctions like diastolic/systolic abnormalities. …”
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Analyzing the spatiotemporal effects of meteorological factors on hand, foot and mouth disease using mixed geographically and temporally weighted autoregressive models by Huiguo Zhang, Geng Chen, Mengqi Chen, Siang Wang, Zhi Zhang

“…The MGTWAR model, compared with the GTWAR model, can maintain a simpler model structure while achieving a relatively smaller loss in terms of fitting accuracy, thus having better interpretability. …”
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