Cultural Perception of Tourism Heritage Landscapes via Multi-Label Deep Learning: A Study of Jingdezhen, the Porcelain Capital by Yue Cheng, Weizhen Chen

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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…GNN is adept at aggregating information from neighboring nodes in graph-structured data to learn node representations, showing immense potential in the field of citation network data mining. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…GNN is adept at aggregating information from neighboring nodes in graph-structured data to learn node representations, showing immense potential in the field of citation network data mining. …”
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Effectiveness of large language models and software libraries in sentiment analysis by Agnieszka WOJDECKA, Jakub GROMADZIŃSKI, Krzysztof WALCZAK

“…In contrast, software libraries showed greater variation, especially in the presence of complex linguistic structures. These findings highlight the potential of large language models in sentiment analysis tasks and underscore their robustness in interpreting nuanced language. …”
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Cerebellar Contributions to Hypokinetic Symptoms in an Acute Lesion Parkinsonism Model by Cristofer Zarate-Calderon, Gerardo Marín, Iraís Viveros-Martínez, Lizbeth Vásquez-Celaya, Porfirio Carrillo-Castilla, Gonzalo E. Aranda-Abreu, Donaji Chi-Castañeda, Luis I. García

“…<b>Conclusions:</b> These findings suggest compensatory cerebellar hyperactivity induced by VLS lesion, potentially modulating hypokinetic symptoms and highlighting dynamic network interactions. Interpretation warrants caution due to limitations inherent to the acute lesion model and experimental duration.…”
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Ontology-conformal recognition of materials entities using language models by Sai Teja Potu, Rachana Niranjan Murthy, Akhil Thomas, Lokesh Mishra, Natalie Prange, Ali Riza Durmaz

“…Abstract Extracting structured and semantically annotated materials information from unstructured scientific literature is a crucial step toward constructing machine-interpretable knowledge graphs and accelerating data-driven materials research. …”
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Analysis of influencing factors and paths of synergistic development of water resources-economic society-ecological environment based on DIM modeling by Suming Ren, Fuqiang Wang, Peiheng Liu, Heng Zhao, Honglu Zhang, Lanbo Cui

“…This study constructs a system of influencing factors for the synergistic development of “water resources, economic society and ecological environment” from three dimensions, reveals the influencing relationship between indicators through the Decision Making Trial and Evaluation Laboratory (DEMATEL), determines the hierarchical structure of the influencing factors and the related paths through the Interpretive Structural Model (ISM), and classifies the influencing factors through the Matrix Multiplication Method of Cross Influence Matrix Multiplication (MICMAC). …”
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Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges by Harikha Manthena, Shaghayegh Shajarian, Jeffrey C. Kimmell, Mahmoud Abdelsalam, Sajad Khorsandroo, Maanak Gupta

“…Explainable AI (XAI) addresses this gap by enhancing model interpretability while maintaining strong detection capabilities. …”
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Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures by Mohsin Ali, Li Chen, Qadir Bux Alias Imran Latif Qureshi, Deema Mohammed Alsekait, Adil Khan, Kiran Arif, Muhammad Luqman, Diaa Salama Abd Elminaam, Amir Hamza, Majid Khan

“…CS improved significantly as the steel fiber volume fraction (Vf) reached 1.5 %, plateauing thereafter. The proposed models are valid and accurate, providing designers and builders with a practical and adaptable method for estimating strength in SFRC structural applications, particularly under high-temperature conditions.…”
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In Silico Approach for Antibacterial Discovery: PTML Modeling of Virtual Multi-Strain Inhibitors Against <i>Staphylococcus aureus</i> by Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck-Planche

“…The physicochemical and structural interpretation of the PTML-MLP model was performed through the fragment-based topological design (FBTD) approach. …”
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Increasing Systemic Resilience to Socioeconomic Challenges: Modeling the Dynamics of Liquidity Flows and Systemic Risks Using Navier–Stokes Equations by Davit Gondauri, Nino Chedia, Vakhtang Tsintsadze

“…The main hypothesis of the study is that the adapted form of the Navier-Stokes equations in financial modeling allows us to accurately study the internal dynamics of the market, liquidity diffusion, the impact of external shocks, and structural tensions. …”
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Bridging the Gap Between Tabular Information Requirements and the Information Delivery Specification (IDS) by Simon Fischer, Harald Urban, Christian Schranz, Gerhard Zucker

“…The information delivery specification (IDS) schema has emerged as a standard for structuring alphanumeric information requirements in a computer-interpretable manner. …”
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Does Intercity Transportation Accessibility Matter? Its Effects on Regional Network Centrality in South Korea by Sangwan Lee, Jeongbae Jeon, Kuk Cho, Junhyuck Im

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A sequence to formula tree model for solving electrical text problems by Yanli Wang, Pengpeng Jian, Haoyu Liu, Ming Yan, Yang Li

“…However, existing solution methods either focus on semantic or structural analysis, and they cannot parse the problem text into a more interpretable form of machine solver. …”
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The Impact of System Models on Systems Thinking in the Context of Climate Change in Elementary School by Sven Frey, Maik Beege, Alexander Renkl, Werner Riess

“…This study investigated the effects of using alternative system models with varying visualization of temporal developments in developing different facets of systems thinking based on a heuristic structural competence model. …”
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The Proposal of a Fuzzy Ahp Based Model for the Efficiency Analysis of Technopark by Serap Tepe, A.halim Zaim

“…By applying the developed model, the results of theperformance evaluation are reached and the results are interpreted. …”
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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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