arousal 发表于 2025-3-28 18:12:09
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Haohao Qu,Sheng Liu,Zihan Guo,Linlin You,Jun Li now its second iteration, Geropsychology and Long Term Care: A Practitioner’s Guide. Education of psychologists working in long-term care settings is consistent with PLTC’s mission to assure the provision of high-quality psychological services for a neglected sector of the population, i.e., residendura-mater 发表于 2025-3-29 00:10:04
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Xin Wang,Min Luo,Chengliang Si,Huayi Zhanth and behavioral health treatment within the growing populaIt is with great pride that the Psychologists in Long Term Care (PLTC) have sponsored The Professional Educational Long-Term Care Training Manual, and now its second iteration, Geropsychology and Long Term Care: A Practitioner’s Guide. Educcraven 发表于 2025-3-29 08:26:12
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Yi Liang,Shuai Zhao,Bo Cheng,Yuwei Yin,Hao Yangth and behavioral health treatment within the growing populaIt is with great pride that the Psychologists in Long Term Care (PLTC) have sponsored The Professional Educational Long-Term Care Training Manual, and now its second iteration, Geropsychology and Long Term Care: A Practitioner’s Guide. Educdominant 发表于 2025-3-29 20:08:59
A Decoupled YOLOv5 with Deformable Convolution and Multi-scale Attentionng them, YOLOv5, as a single-stage multi-scale detector, has great advantages in accuracy and speed, but it still has the problem of inaccuracy localization when detecting the objects. In order to solve this problem, we propose three methods to improve YOLOv5. First, due to the conflict between clas无政府主义者 发表于 2025-3-30 00:15:08
OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledgeer, we propose an optimized Chinese short text matching algorithm based on external knowledge (OTE). OTE can effectively eliminate semantic ambiguity in Chinese text by integrating the HowNet external knowledge base. We use SoftLexicon to optimize the word lattice graph to provide more comprehensiveIndicative 发表于 2025-3-30 06:20:54
KIR: A Knowledge-Enhanced Interpretable Recommendation Methodisting recommendation methods can improve the accuracy of the recommendation results to a certain extent. However, due to the lack of interpretability, the recommendation results are insufficient and burdensome to satisfy the desire of some users to understand the recommendation basis. For this reas