Toward Inclusive Healthcare: An LLM-Based Multimodal Chatbot for Preliminary Diagnosis by Ishita Agarwal, V. Sakthivel, P. Prakash

“…The proposed RAG-based architecture incorporates a curated medical knowledge base and structured retrieval mechanisms, significantly reducing hallucinations and enhancing response credibility compared to direct Large Language Model (LLM) querying. …”
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Volumetric atlas of the rat inner ear from microCT and iDISCO+ cleared temporal bones by Daniele Cossellu, Elisa Vivado, Laura Batti, Ivana Gantar, Roberto Pizzala, Paola Perin

“…Background Volumetric atlases are an invaluable tool in neuroscience and otolaryngology, greatly aiding experiment planning and surgical interventions, as well as the interpretation of experimental and clinical data. The rat is a major animal model for hearing and balance studies, and a detailed volumetric atlas for the rat central auditory system (Waxholm) is available. …”
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From Prompt To Response: Understanding Chatgpt Language Processing Framework To Improve Efl Teaching by Nawel Bengrait

“…The Findings revealed that for the Large Language Model (LLM) to provide the accurate response to the given prompt, it interacts with the input lexical and semantic structures, and contextual specificity. …”
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Integrated impact of urban mixed land use on TOD ridership: A multi-radius comparative analysis by Xinyue Gu, Siyan Lin, Chengfang Wang

“…Subsequently, a Light Gradient Boosting Machine (LightGBM) classification model, complemented by SHapley Additive exPlanations (SHAP) values for interpretation, quantitatively evaluates the influence of mixed land use on TOD ridership across various catchment areas. …”
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Review of Fault Detection and Diagnosis Methods in Power Plants: Algorithms, Architectures, and Trends by Camelia Adela Maican, Cristina Floriana Pană, Daniela Maria Pătrașcu-Pană, Virginia Maria Rădulescu

“…This review presents a structured and data-driven synthesis of 185 peer-reviewed articles, sourced from journals indexed in MDPI and Elsevier, as well as through the Google Scholar search engine, published between 2019 and 2025. …”
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Development of subject-oriented innovative software products based on artificial intelligence systems by О. Стенін, В. Пасько, О. Лісовиченко, О. Польшакова, В. Солдатов

“…The essence of the proposed approach is that the development of an innovative software product is interpreted as an information object that is meaningfully and structurally changes in the process of its creation. …”
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Regional Sentimental Flows and Hierarchical Drivers of Urban Waste Sorting: An Integrated OCC-LSTM and LDA-DEMATEL-ISM Approach Using Social Media Data by Feixue Sui, Hengxu Zhang

“…It also employed the Latent Dirichlet Allocation (LDA), Decision Making Trial and Evaluation Laboratory (DEMATEL), and Interpretive Structural Modeling (ISM) methods to classify and integrate influencing factors under different sentiment themes. …”
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DATA MINING IN RELATIONAL SYSTEMS by Valentin Filatov, Valerii Semenets, Oleg Zolotukhin

“…The features of the structural specification of a relational database, the formation of association rules for building a decision support system are investigated. …”
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Study and restoration of the costume of the HuoLang (Peddler) in the Ming Dynasty of China by Zhu Chun, Gao Yuanyuan, Wang Jianping, Zeng Xianyi, Bruniaux Pascal, Liu Kaixuan

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Risk-Aware Suicide Detection in Social Media: A Domain-Guided Framework with Explainable LLMs by Farzaneh Lashgari, Mehran Pourvahab, António Sousa, Anilson Monteiro, Sebastião Pais

“…In addition to improving performance on various metrics, the proposed framework adds interpretability for understanding and trusting the models' decisions while creating transparency. …”
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Risk Evaluation for Human Factors of Flight Dispatcher Based on the Hesitant Fuzzy TOPSIS-DEMATEL-ISM Approach: A Case Study in Sichuan Airlines by Jing-Han Zeng, Jing-Yang Huang, Qing-Wei Zhong, Dai-Wu Zhu, Yi Dai

“…Third, the hesitant fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory, DEMATEL)-ISM (Interpretive Structural Modeling, ISM) approach is constructed to analyze the correlation among human factors, leading to the establishment of a multi-level hierarchical structure model. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…ObjectiveThe stability of rock engineering structures, crucial for national major construction projects, strategic security, and environmental protection, is significantly influenced by the dynamic propagation of rock mass fractures. …”
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A FAIR Resource Recommender System for Smart Open Scientific Inquiries by Syed N. Sakib, Sajratul Y. Rubaiat, Kallol Naha, Hasan H. Rahman, Hasan M. Jamil

“…By indexing and embedding these workflows, FAIRFind enables natural language querying over diverse biological data sources and returns structured, source-resolved results. Evaluation across multiple open-source LLMs and database types demonstrates over 90% success in structured data extraction and high semantic retrieval accuracy. …”
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Graph-LLM fusion: enhancing fact representation and logical reasoning in artificial intelligence systems by YANG Juan, SHEN Youren

“…Large language models demonstrate strong semantic understanding and generation abilities but lack effective utilization of symbolic knowledge and interpretability. …”
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Graph-LLM fusion: enhancing fact representation and logical reasoning in artificial intelligence systems by YANG Juan, SHEN Youren

“…Large language models demonstrate strong semantic understanding and generation abilities but lack effective utilization of symbolic knowledge and interpretability. …”
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LLaMA-UTP: Knowledge-Guided Expert Mixture for Analyzing Uncertain Tax Positions by Yutong Tan, Bi Wu, Jialei Cao, Bingying Jiang

“…We address these challenges with a knowledge-guided expert mixture system built upon a domain-adapted LLaMA architecture incorporating retrieval-augmented generation to ground analysis in relevant tax authorities, specialized expert subnetworks for different tax knowledge domains, and a tax citation knowledge graph that enhances interpretability through structured reasoning paths. Our comprehensive evaluation demonstrates that LLaMA-UTP achieves 90.5% accuracy in classifying UTP risk levels, significantly outperforming baseline models including LegalBERT (82.0%) and GPT-3.5 (78.4%). …”
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Advancing Software Vulnerability Detection with Reasoning LLMs: DeepSeek-R1′s Performance and Insights by Wenting Qin, Lijie Suo, Liangchen Li, Fan Yang

“…Experimental results demonstrate that reasoning-enabled models, particularly DeepSeek-R1, outperform their non-reasoning counterparts by leveraging structured step-by-step inference strategies and valuable reasoning traces. …”
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“No, not the Moon, but a Bright Dial...” (O. E. Mandelstam): Experience of Poetic-Ideographic Analysis by L. G. Babenko, V. A. Glazyrin

“…The main goal of this approach is to identify and describe the individual author’s poetic pictures of the world and their representations in lexicographic parameters. Both the general model of the proposed poetic-ideographic analysis and the main theoretical concepts associated with the new cognitive-discursive approach to the interpretation of a poetic text are presented in the article. …”
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Rapid Bayesian Imaging of Large‐Scale Transient Electromagnetic Data Using Probabilistic Neural Networks by Jian Chen, Stefano Galli, Alessandro Signora, Nicole Anna Lidia Sullivan, Bo Zhang, Gianluca Fiandaca

“…In this study, we proposed a probabilistic neural network (PNN) structure to estimate the posterior probability density function (PDF) of model parameters. …”
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Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties by Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, Abdul Halim Abdul Latif, Ida Bagus Suananda Yogi, Said Jadid A. Kadir

“…Together, they enhance model interpretability and optimize predictive performance of machine learning models. …”
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