Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shao-teng Li"'
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-29 (2024)
Abstract Ovarian cancer (OC) was the fifth leading cause of cancer death and the deadliest gynecological cancer in women. This was largely attributed to its late diagnosis, high therapeutic resistance, and a dearth of effective treatments. Clinical a
Externí odkaz:
https://doaj.org/article/8180ca28ec9e45c591345ff14d4897dd
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
IntroductionIt is believed that ovarian cancer (OC) is the most deadly form of gynecological cancer despite its infrequent occurrence, which makes it one of the most salient public health concerns. Clinical and preclinical studies have revealed that
Externí odkaz:
https://doaj.org/article/c60ce76bf756495aa78ac5baea3324a7
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Ovarian cancer (OC) leads to the most deaths among gynecological malignancies. The various epigenetic regulatory mechanisms of histone acetylation in cancer have attracted increasing attention from scientists. Long non-coding RNA (lncRNA) also plays
Externí odkaz:
https://doaj.org/article/66699f2943334006b9f5ba1ea8b93ad7
Akademický článek
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Publikováno v:
Applied Mechanics and Materials. :629-633
Since smart meters work at the long status without any supervision, their confidence is very important. This paper proposes an algorithm model of analyzing the related attributes with the running breakdown information of the smart meter, which can be
Publikováno v:
Applied Mechanics and Materials. :625-628
As the main tool of electricity measurement and economic settlement, the smart meter directly related to the nation and peoples interests. This paper devises a vertical analysis model of fault data of running smart meter. The model firstly clean the