Exploring Legislative Textual Data in Brazilian Portuguese: Readability Analysis and Knowledge Graph Generation by Gisliany Lillian Alves de Oliveira, Breno Santana Santos, Marianne Silva, Ivanovitch Silva

“…The country’s civil law tradition and multicultural context introduce further interpretative and linguistic challenges. Moreover, the study of Brazilian Portuguese legislative texts remains underexplored, lacking legal-specific models and datasets. …”
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Empowering knowledge graphs with hybrid retrieval-augmented generation for the intelligent mix scheme of mass concrete by Yuqing Shang, Zhijiang Ke, Peng Lin, Qianhui Ren, Wenshan Zhang, Xiongwu Wang, Xiaotao Li, Fuyuan Gong, Shiqi Wang, Baofa Wang, Zhengkui Xu, Minglun Sun, Shunli Tan

“…The DCMPS’s performance was validated using a test dataset, The results demonstrate that the system outperforms the larger-parameter native LLM in overall evaluation on the test dataset, confirming that knowledge augmentation significantly enhances the performance of smaller models. Case studies indicate that the recommended mix designs closely align with the target performance requirements, and the comparison of relevant cases along with the analysis of material influence mechanisms enhances the interpretability of the results. …”
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Evaluating the performance of artificial intelligence in summarizing pre-coded text to support evidence synthesis: a comparison between chatbots and humans by Kim Nordmann, Stefanie Sauter, Mirjam Stein, Johanna Aigner, Marie-Christin Redlich, Michael Schaller, Florian Fischer

“…Abstract Background With the rise of large language models, the application of artificial intelligence in research is expanding, possibly accelerating specific stages of the research processes. …”
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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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Research trends on neutrophil extracellular traps in ischemic stroke: a scientific metrology study by Yaji Xu, Yaji Xu, Xingyu Gong, Yilin Wang, Xinyu Liu, Haomou Pu, Hongjie Jiang, Xiaoping Yu, Xiaoping Yu

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Evaluating the performance of ChatGPT in patient consultation and image-based preliminary diagnosis in thyroid eye disease by Yue Wang, Shuo Yang, Chengcheng Zeng, Yingwei Xie, Ya Shen, Jian Li, Xiao Huang, Ruili Wei, Yuqing Chen

“…BackgroundThe emergence of Large Language Model (LLM) chatbots, such as ChatGPT, has great promise for enhancing healthcare practice. …”
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Traffic Scene Analysis using Hierarchical Sparse Topical Coding by P. Ahmadi, I. Gholampour, M. Tabandeh

“…Experiments on a real world traffic dataset demonstrate the effectiveness of the proposed method against conventional one-level topic model based methods. The results show that our two-level STC can successfully discover not only the lower level activities but also the higher level traffic phases, which makes a more appropriate interpretation of traffic scenes. …”
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Research on Chinese Semantic Relation Extraction in Marine Engine Rooms Based on Multi-Feature Fusion by Xicai Liu, Zhengquan Wang, Fubo Wang

“…These findings highlight that the fusion of semantic and syntactic structural features enhances the model’s informational content and interpretative capabilities.…”
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Systematic trends in the spin-orbit splitting toward weak-binding by Jie Chen

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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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Tunnel Lining Recognition and Thickness Estimation via Optical Image to Radar Image Transfer Learning by Chuan Li, Tong Pu, Nianbiao Cai, Xi Yang, Hao Liu, Lulu Wang

“…The secondary lining of a tunnel is a critical load-bearing component, whose stability and structural integrity are essential for ensuring the overall safety of the tunnel. …”
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What influences college students using AI for academic writing? - A quantitative analysis based on HISAM and TRI theory by Yulu Cui

“…This study constructs a theoretical framework based on the Hedonic Information System Acceptance Model (HISAM) and the Technology Readiness Index (TRI), and employs Structural Equation Modeling (SEM) to analyze survey data from 148 university students. …”
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Uncertainty-driven active learning in a deep semi-supervised framework for WCE image classification by Prabhanantha Kumar Muruganantham, Senthil Murugan Balakrishnan

“…ACT-WISE uses a teacher-student training methodology in which the model improves consistency by learning structural and semantic correlations from perturbations of unlabelled images. …”
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Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews by Gamunnarbi Park, Shinho Kim, Youngjung Geum

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Constraints on the Geometry of Peripheral Faults above Mafic Sills in the Tarim Basin, China: Kinematic and Mechanical Approaches by Zewei Yao

“…In this study, kinematic modeling and limit analysis are performed to better constrain the structure and mechanical properties of the peripheral faults based on seismic interpretation of a mafic sill from the Tarim Basin, China. …”
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Analytical Research Regarding the Implementation of a Prescriptive Maintenance System Applied to IT&C Equipment by Ana-Diana Pop-Suărășan, Nicolae Stelian Ungureanu, Adrian Petrovan

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Determinants of interaction intention to purchase online in less developed countries: The moderating role of technology infrastructure by Hamood Mohammed Al-Hattami, Abdulwahid Ahmed Hashed Abdullah, Manaf Al-Okaily, Ahmad Samed Al-Adwan, Mohammed A. Al-Hakimi, Fahd Taha Haidar

“…The results were estimated using partial least squares structural equation modeling (PLS-SEM). The results revealed that TI, SI, and SE have a direct positive impact on IIPO. …”
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Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches by Pham Nguyen Dang Khoa, Dinh Gia Huy, Nguyen Canh Lam, Dang Hai Quoc, Pham Hoang Thai, Nguyen Quyen Tat, Tran Minh Cong

“…Hence, explainable machine learning methods like Shapley additive explanations, the DT structure, and local interpretable model-agnostic explanations (LIME) were employed to comprehend the models and perform feature analysis. …”
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Simulating Solar Neighborhood Brown Dwarfs. I. The Luminosity Function above and below the Galactic Plane by Easton J. Honaker, John E. Gizis

“…Our simulation shows that brown dwarf population statistics are a function of height above/below the Galactic plane and sample different age distributions. Interpreting the local sample requires combining evolutionary models, the initial mass function, the star formation history, and kinematic heating. …”
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GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets by Ehsan Namjoo, Alison N. O’Connor, Jim Buckley, Conor Ryan

“…This paper introduces a novel XAI system designed for classification tasks on tabular data, which offers a balance between performance and interpretability. The proposed method, <i>GlassBoost</i>, first trains an XGBoost model on a given dataset and then computes gain scores, quantifying the average improvement in the model’s loss function contributed by each feature during tree splits. …”
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