Showing 381 - 400 results of 42,757 for search 'Wöhrd~', query time: 4.36s Refine Results
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    Keratin/chitosan film promotes wound healing in rats with combined radiation-wound injury by Yu-mei Wang, Tong Xin, Hao Deng, Jie Chen, Shen-lin Tang, Li-sheng Liu, Xiao-liang Chen

    Published 2025-01-01
    “…However, it is a challenge for the keratin to efficiently therapy the impaired wound healing, such as combined radiation-wound injury. …”
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    WORDS ARE LIFE. WRITTEN MEMORIES IN THE HOSPICE EXPERIENCE: A QUALITATIVE STUDY by Pieralba Chiarlone, Silvio Giono-Calvetto, Flavia Lena, Gaetano Giuseppe Saita, Roberta Maci, Giovanni Moruzzi, Salvatore Bonanno

    Published 2024-12-01
    “…Results This study presents the results of the first stage of the work, in which we quantified word repetition and analysed the representativeness of words with higher redundancy, comparing them over the two decades. …”
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    Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm by Xingsi Xue, Haolin Wang, Jie Zhang, Yikun Huang, Mengting Li, Hai Zhu

    Published 2021-01-01
    “…Ontology matching (OM) is an effective method of addressing it, which is of help to further realize the mutual communication between the ontology-based ITSs. In this work, we first propose to use Word2Vec to model the entities in vector space and calculate their similarity values. …”
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    Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

    Published 2025-01-01
    “…The research is based on the consumer reviews of online cell phone e-commerce, The paper constructs a sentiment dictionary in this field based on the Sentiment Oriented Point Mutual Information (SO-PMI) algorithm, and the sentiment weight of the review word vectors. An extreme Gradient Boosting Tree (XGBoost) is used to integrate word vectors and a Large Language Model (LLM) to construct a sentiment recognition model, and finally, a review sentiment index is derived, which unfolds from multiple dimensions to analyze the sentiment tendency in consumer reviews. …”
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    “The Word for the New Year” by Archimandrite Anastasius (Alexandrov): Speech-Behavioral Analysis by A.Ju. Chernysheva

    Published 2016-10-01
    “…The paper is devoted to the speech-behavioral analysis of the “Word for the New Year” by Archimandrite Anastasius (Alexandrov) commenting on the commonly accepted greeting “Wish you Happy New Year and happiness” by comparing the ephemeral and eternal values of communication. …”
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