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  1. 621
  2. 622

    Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listeni... by Jean-François Jeanne, Joelle Malaab, Antoine Vanhove, Florian Mourey, Manissa Talmatkadi, Stéphane Schück

    Published 2025-05-01
    “…Data cleaning and filtering were done using natural language processing methods and specific algorithms. Biterm topic modeling was applied to identify the most frequently discussed topics. …”
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    Article
  3. 623

    Different responses of canopy and shrub leaves to canopy nitrogen and water addition in warm temperate forest by Mengke Li, Mengke Li, Mengke Li, Mengke Li, Ruomin Sun, Ruomin Sun, Ruomin Sun, Ruomin Sun, Yaqi He, Yaqi He, Yaqi He, Yaqi He, Tenglong Zhou, Tenglong Zhou, Tenglong Zhou, Tenglong Zhou, Jianing Mao, Jianing Mao, Jianing Mao, Jianing Mao, Wen Li, Wen Li, Wen Li, Wen Li, Chang Liu, Chang Liu, Chang Liu, Chang Liu, Lei Ma, Lei Ma, Lei Ma, Lei Ma, Shenglei Fu, Shenglei Fu, Shenglei Fu, Shenglei Fu

    Published 2025-04-01
    “…Among the identified metabolic pathways, four were annotated multiple times, with amino acid metabolism being the most active.DiscussionThese regulatory processes enable the leaves to withstand external disturbances and maintain their relative stability under changing environmental conditions. …”
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  4. 624

    Relationships between method used for bedding processing and presence of mastitis and nonmastitis pathogens in ready-to-use recycled manure solids bedding on Midwest dairy farms by F. Peña-Mosca, S. Godden, E. Royster, D. Albrecht, S.J. Wells, B.A.C. Crooker, N. Aulik

    Published 2025-07-01
    “…The DIG+SEC systems showed the greatest reduction in mastitis pathogen counts, and MAP and SAL were not detected in RTU RMS. Our results suggest that combining DIG with a secondary processing method (e.g., COM, DRY, or IR) most effectively reduces mastitis and nonmastitis pathogens in RMS bedding.…”
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  5. 625

    Comparison on the application of the software for image-free control UAV data processing of digital landslide: A case study of Huangtupo landslide in the Three Gorges Reservoir are... by Yujian HE, Jie DOU, Xiekang WANG, Yonghu FU, Hao MA, Heng WANG

    Published 2024-10-01
    “…In recent years, image-free unmanned aerial vehicle (UAV) aerial survey technology has been increasingly employed in digital landslide analysis due to its advantages of high processing efficiency and production of high-quality maps. …”
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  6. 626

    A State-of-the-Art Review on Micro-Machining of Nitinol Shape Memory Alloys and Optimization of Process Variables Considering the Future Trends of Research by Souradeep Dutta, Deba Kumar Sarma, Jay Vora, Rakesh Chaudhari, Abhijit Bhowmik, Priyaranjan Samal, Sakshum Khanna

    Published 2025-05-01
    “…This paper summarizes all of the conventional and non-conventional micro-machining processes employed to machine NiTi SMAs. In this review process, the surface integrity, dimensional accuracy of the machined surface, cutting force and tool wear analysis during conventional and non-conventional micro-machining of NiTi SMA are evaluated mostly with the aid of input process variables like cutting speed, depth of cut, width of cut, types of coolants, tool coating, discharge voltage, capacitance, laser fluence, pulse duration, scan speed, electrolysis concentration and gap voltage. …”
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  7. 627
  8. 628

    A Semantic Web and IFC-Based Framework for Automated BIM Compliance Checking by Lu Jia, Maokang Chen, Chen Chen, Yanfeng Jin

    Published 2025-07-01
    “…This paper presents a method combining semantic web technology and IFC data to enhance human–machine collaborative inspection capabilities. First, a five-step process integrated with domain specifications is designed to construct a building object ontology, covering most architectural objects in the AEC domain. …”
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  9. 629

    Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japane... by Seiji Shimizu, Tomohiro Nishiyama, Hiroyuki Nagai, Shoko Wakamiya, Eiji Aramaki

    Published 2025-07-01
    “…ResultsThe LLM demonstrated greater robustness, with a smaller performance gap in F1 ConclusionsFine-tuned LLMs demonstrate superior robustness for disease name recognition in Japanese clinical notes, with a smaller performance gap. …”
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    Article
  10. 630
  11. 631

    Developing a research agenda on NATure-based and Animal-assisted Intervention Strategies (NATAIS) in people with neurodegenerative diseases with a specific focus on social isolatio... by I. J. N. Declercq, R. Leontjevas, M.-J. Enders-Slegers, M. Molog, D. L. Gerritsen, K. Hediger

    Published 2024-09-01
    “…Methods This article outlines the process and results of a group concept mapping procedure aimed at developing a research agenda based on a logic model. …”
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  12. 632

    Conducting water-energy-food nexus studies: what, why, and how by Ebrahim Farmandeh, Shahla Choobchian, Shobeir Karami

    Published 2024-11-01
    “…Furthermore, the analysis of WEFN methodologies identified simulation as the most effective technique within the Analytical Hierarchy Process (AHP) framework. …”
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  13. 633
  14. 634

    Investigating Brain Responses to Transcutaneous Electroacupuncture Stimulation: A Deep Learning Approach by Tahereh Vasei, Harshil Gediya, Maryam Ravan, Anand Santhanakrishnan, David Mayor, Tony Steffert

    Published 2024-10-01
    “…Additionally, the classification accuracies across the pre-stimulation, during-stimulation, and post-stimulation phases remained consistently high (above 92%), indicating that EEGNet effectively captured the different time-based brain responses across different stimulation phases. Saliency maps were applied to identify the most critical EEG electrodes, potentially reducing the number needed without sacrificing accuracy. …”
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  15. 635

    GeoBM: A Python-based tool for integrated visualization of global bibliometric data by Chun Chong Fu, Jorge Fleta-Asín, Fernando Muñoz, Carlos Sáenz-Royo, Loo Keat Wei

    Published 2025-12-01
    “…Conventional geospatial visualization techniques—most notably choropleth maps—often introduce significant distortions due to their inability to adequately account for spatial heterogeneity and overdispersion in bibliometric distributions. …”
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  16. 636
  17. 637

    Paris dans les récits de voyage d’écrivains arabes : repérage, analyse sémantique et cartographie de toponymes by Motasem Alrahabi, Carmen Brando, Muhamed AlKhalil, Joseph Dichy

    Published 2021-05-01
    “…Our pipeline identifies place named entities, analyzes their semantic context (with regard to opinions, sentiments and emotions), and locates the place names on geographic maps. Our corpus includes six travel writings on Paris from some of the most influential Arab writers of the 19th and 20th centuries. …”
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  18. 638

    A Process-Oriented Approach to Assessing High School Students’ Mathematical Problem-Solving Competence: Insights from Multidimensional Eye-Tracking Analysis by Sijia Hao, Huanghe Pan, Dan Zhang

    Published 2025-06-01
    “…To address this gap, this study introduces a process-oriented assessment method leveraging eye-tracking technology. …”
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  19. 639

    Digital Land Suitability Assessment for Irrigated Cultivation of Some Agricultural Crops Using Machine Learning Approaches (Case Study: Qazvin-Abyek) by F. Jannati, F. Sarmadian

    Published 2024-09-01
    “…Moreover, the random forest machine learning model was utilized for spatial modeling, zoning mapping, and determining the significance of environmental variables in the land suitability evaluation process. …”
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  20. 640