Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Peiyun Wu"'
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Given the characteristics of the rehabilitation therapy specialty and the drawback of the traditional didactic teaching approach, we developed the innovative teaching approach from the students’ perspective using the person–en
Externí odkaz:
https://doaj.org/article/df2f0848ef8945d193a5790438369f40
Autor:
Bingbing Xv, Peiyun Wu, Ping Li, Wanling Chen, Xiangzhi Rao, Boqi Lu, Cheng Lin, Zhizhuo Wang
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
ObjectiveChanges in serum thyroid hormone levels may affect cognitive functioning in euthyroid individuals. This study used representative data from the National Health and Nutrition Examination Survey (NHANES) to comprehensively examine the associat
Externí odkaz:
https://doaj.org/article/dbd3df1fc2ab468380e1bff1b09004a9
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Mindfulness-based interventions have been tested to be the effective approach for preventing/reducing burnout in medical students. Therefore, this systematic review and meta-analysis aimed to synthesize the scientific evidence and
Externí odkaz:
https://doaj.org/article/0a1cb9cb812d4fcc8f25643cd699937f
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
ObjectiveAlthough several studies have examined the relationship between thyroid function and muscle strength, their population primarily derived from Asian areas, and their results were controversial. Thus, this study aimed to explore the associatio
Externí odkaz:
https://doaj.org/article/47a6db83177e44dea06da7ca848b7d30
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
Introduction: Rheumatoid arthritis is an autoimmune disease characterized by chronic joint inflammation. Methotrexate is one of the most effective drugs for rheumatoid arthritis, but the adverse reactions caused by oral methotrexate greatly limit its
Externí odkaz:
https://doaj.org/article/de220e99d991490fa5f96d2a80e20512
Publikováno v:
Advances in Social Science, Education and Humanities Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d12c88018f08b3a7874894ef71fa3242
https://doi.org/10.2991/assehr.k.220131.157
https://doi.org/10.2991/assehr.k.220131.157
Publikováno v:
2021 IEEE 39th International Conference on Computer Design (ICCD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7a79b59bbc12030530c9a56d4238ae
https://doi.org/10.1109/iccd53106.2021.00074
https://doi.org/10.1109/iccd53106.2021.00074
Publikováno v:
IEEE Computer Architecture Letters. 18:35-38
DRAM disturbance errors are increasingly a concern to computer system reliability and security. There have been a number of designs to detect and prevent them; however, there lacks any design that guarantees 100 percent detection (no false negative)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::073e88a0cdee6bf36956af21ee01ed83
https://doi.org/10.1109/lca.2019.2897299
https://doi.org/10.1109/lca.2019.2897299
Autor:
Xiaowang Zhang, Peiyun Wu
Publikováno v:
Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence ISBN: 9789811619632
CCKS
CCKS
Semantic parsing is an important method to question answering over knowledge base (KBQA), which transforms a question into logical queries to retrieve answers. Existing works largely focus on fine-grained relations representation while ignoring the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::921909c166c5bc8976f8d83ee97bc174
https://doi.org/10.1007/978-981-16-1964-9_18
https://doi.org/10.1007/978-981-16-1964-9_18
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030594121
DASFAA (Workshops)
DASFAA (Workshops)
Gaussian embedding in unsupervised graph representation learning aims to embed vertices into Gaussian distributions. Downstream tasks such as link prediction and node classification can be efficiently computed on Gaussian distributions. Existing Gaus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af737b0c651d7549b44e242e311de540
https://doi.org/10.1007/978-3-030-59413-8_18
https://doi.org/10.1007/978-3-030-59413-8_18