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  1. 1801

    Interpreting Predictive Models through Causality: A Query-Driven Methodology by Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin

    Published 2023-05-01
    “…These efforts have provided answers to various queries, but relying on a single pre-trained model may result in quantification problems. …”
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    Article
  2. 1802

    Evaluating base and retrieval augmented LLMs with document or online support for evidence based neurology by Lars Masanneck, Sven G. Meuth, Marc Pawlitzki

    Published 2025-03-01
    “…Results showed substantial variability. RAG improved accuracy compared to base models but still produced potentially harmful answers. …”
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    Article
  3. 1803

    Encoding the Ethiopic Miracles of Mary by Dorothea Reule

    Published 2022-01-01
    “…A flexible encoding system with different identifiers for textual units and art themes has been developed, answering the most common challenges of encoding the Ethiopic literary tradition, improving the cataloguing.…”
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    Article
  4. 1804

    Barriers to participation in clinical trials: cross-sectional study on perceptions of oncology patient advocacy group webpage in Brazil by Guilherme Silva Julian, Christiane Bueno, Renata Eiras Martins, Luciana Holz Camargo de-Barros

    Published 2019-01-01
    “…Also, CTs represent an essential step to development of improved therapeutic strategies. However, little is known on Brazilian perception regarding CT. …”
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    Article
  5. 1805

    Impact of dental treatment on self-esteem and oral health selfperception of children and adolescents victims of sexual abuse by Ana Luísa de Ataíde Mariz, Symonne Leandro Araújo, Luiz Antônio Negrinho, Marlus da Silva Pedrosa, José Guilherme Férrer Pompeu, Cláudio Heliomar Vicente da Silva

    Published 2018-04-01
    “…Material and Methods: It was adopted a qualitative methodology that emphasized the deepening and comprehension of the answers obtained. Six adolescents, from both genders, victims of sexual abuse in the last two years, aged between 10 and 15, took part of the study. …”
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    Article
  6. 1806

    Evaluation of an On-Ground Regional Passenger Cabin Demonstrator by Anna Reichherzer, Victor Norrefeldt, Benjamin Müller, Davide Straninger, Britta Herbig, Aenne Euhus, Michael Bellmann, Peter Vink, Yu Song, Neil Mansfield

    Published 2025-04-01
    “…The comparatively environmentally friendly turboprop aircraft should be used more often, but still need some improvements, especially regarding noise. To facilitate research into these improvements, an On-Ground Regional Passenger Cabin Demonstrator was built and validated through a comparison with passengers’ reactions to real turboprop flights. …”
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    Article
  7. 1807

    Integrating AI into clinical education: evaluating general practice trainees’ proficiency in distinguishing AI-generated hallucinations and impacting factors by Jiacheng Zhou, Jintao Zhang, Rongrong Wan, Xiaochuan Cui, Qiyu Liu, Hua Guo, Xiaofen Shi, Bingbing Fu, Jia Meng, Bo Yue, Yunyun Zhang, Zhiyong Zhang

    Published 2025-03-01
    “…The hallucinations were categorized into three types based on the accuracy of the answers and explanations: (1) correct answers with incorrect or flawed explanations, (2) incorrect answers with explanations that contradict factual evidence, and (3) incorrect answers with correct explanations. …”
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    Article
  8. 1808

    Systematic Analysis of Retrieval-Augmented Generation-Based LLMs for Medical Chatbot Applications by Arunabh Bora, Heriberto Cuayáhuitl

    Published 2024-10-01
    “…Experiments are reported for response generation and multiple-choice question answering. The latter uses two distinct methodologies: Type A, as standard question answering via direct choice selection; and Type B, as language generation and probability confidence score generation of choices available. …”
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    Article
  9. 1809

    ENHANCING SKILLS IN SCHOLARLY WRITING FOR MEDICAL SCHOOL FACULTY: EXPERIENCE AT THE JOHNS HOPKINS UNIVERSITY, MARYLAND, USA by R. L. Walden, S. L. Poynton

    Published 2025-04-01
    “…For grant proposals, investigators must explain why their questions are important, what makes their team qualified to seek the answers, and how those answers are likely to lead to improvements in human health. …”
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    Article
  10. 1810

    Impact of a Developmental Care Training Course on the Knowledge and Satisfaction of Health Care Professionals in Neonatal Units: A Multicenter Study by Rocío Mosqueda-Peña, David Lora-Pablos, Abraham Pavón-Muñoz, Noelia Ureta-Velasco, María Teresa Moral-Pumarega, Carmen Rosa Pallás-Alonso

    Published 2016-04-01
    “…Course attendance significantly improved the rate of correct answers. Although course satisfaction was high, there did not seem to be a correlation between knowledge gained and satisfaction.…”
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    Article
  11. 1811

    Balancing Innovation and Tradition: Real-Time, Interactive Learning with LightRAG and Dual-Factor PageRank by Sirisha Velampalli

    Published 2025-05-01
    “…The results demonstrate significant improvements, resulting in a 30% in- crease in student engagement and a 20% improvement in comprehension. …”
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    Article
  12. 1812

    Assessing Impact of Public Transportation Services on Traffic Jam in Dhaka City by Md. Tanjil Mahmud Khan

    Published 2025-06-01
    “…They would rather see digital transportation systems, awareness and safety improvements. Notably, 80% of those who answered think improving public transportation services could help reduce the traffic jams in Dhaka city.…”
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    Article
  13. 1813

    QUERY2BERT: Combining Knowledge Graph and Language Model for Reasoning on Logical Queries by Truong H. V. Phan, Phuc do

    Published 2025-01-01
    “…Finally, we used nearest neighbor search on K-D tree to retrieve neighbor-embedded nodes and implemented logical operations like projection, intersection, union, and negation to find answers to complex questions. We tested our model on three benchmark knowledge graph datasets and showed that QUERY2BERT significantly improved accuracy and speed compared to other state-of-the-art models.…”
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    Article
  14. 1814

    Urban Road Change Detection using Morphological Processing by Ei Phyu Sin Win

    Published 2021-02-01
    “…Use Google Earth Pro to get the necessary data photos and search for road improvements. After collecting images from different seasons and years, we can find precise answers by combining them with precise algorithms. …”
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    Article
  15. 1815

    Recall Mechanism and Multi-Head Attention for Numerical Reasoning by Linjia Lai, Tien-Ping Tan, Bocan Zeng

    Published 2025-03-01
    “…Numerical reasoning is a challenging question-answering task in artificial intelligence (AI) that requires both reading comprehension and numerical computation capabilities. …”
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    Article
  16. 1816

    ChatGPT and oral cancer: a study on informational reliability by Mesude Çi̇ti̇r

    Published 2025-01-01
    “…This study evaluates the accuracy of ChatGPT-3.5's answers to frequently asked questions about oral cancer, a condition where early diagnosis is crucial for improving patient outcomes. …”
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    Article
  17. 1817

    Assessment of quality of care in acute postoperative pain management by Milutinović Dragana, Milovanović Verica, Pjević Miroslava, Martinov-Cvejin Mirjana, Cigić Tomislav

    Published 2009-01-01
    “…The results of this study show a useful evidence and identify aspects of nursing care in postoperative management of acute pain which are still to be improved. According to the patients' answers the priority should be given to a regular assessment of the intensity of postoperative pain and evaluation of the effects of analgesic therapy.…”
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    Article
  18. 1818

    The Influence of Medical Expertise and Information Search Skills on Medical Information Searching: Comparative Analysis From a Free Data Set by Aline Chevalier, Cheyenne Dosso

    Published 2025-04-01
    “… BackgroundNowadays, the internet has become the primary source of information for physicians seeking answers to medical questions about their patients before consulting colleagues. …”
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    Article
  19. 1819

    Systematic benchmarking of large Language models in programmed cell death-oriented gastric cancer research: a comparative analysis of DeepSeek‑V3, DeepSeek‑R1, and Claude 3.5 by Yuheng Li, Jiaqi Dong, Dongdong Liu, Yuqing Huang, Yan Jiang, Liangchao Chen, Qiming Gong

    Published 2025-07-01
    “…In “poor” responses, DeepSeek‑R1 corrected errors markedly, shifting to a “good” rating upon re-evaluation, while DeepSeek‑V3 improved only marginally. Claude 3.5 consistently moved its “poor” answers up into the moderate range. …”
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    Article
  20. 1820

    APPLICATION OF THE METHOD OF LEAN PRODUCTION IN THE SERVICES SECTOR by A. Dmitriev, N. Barkova

    Published 2019-09-01
    “…The question has been answered, why the method will work successfully not only in the production sector, but also in the service sector. …”
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    Article