Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Ruirui, Zheng"'
Autor:
Jiaofeng Bai, Xuan Wang, Ruirui Zheng, Miao He, Yuexia Zhang, Zhichen Zhang, Xiaolan Yang, Yaozhu Pan
Publikováno v:
Journal of International Medical Research, Vol 52 (2024)
Myeloid sarcoma (MS) occurs in patients with acute myeloid leukemia (AML). In rare cases, MS can represent a form of blast transformation in patients with myeloproliferative neoplasms (MPN), myelodysplastic neoplasms (MDS), or MDS/MPN. The most frequ
Externí odkaz:
https://doaj.org/article/77a4eb8b73a440bd8c734cb3f1fa9ebc
Autor:
Ruirui, Zheng, Raúl, Romero-del Rey, Jessica, Garcia-Gonzalez, Mar, Requena-Mullor, Navarro-Mena, Ángela, López-Villén, Antonia, Raquel, Alarcon-Rodriguez
Publikováno v:
In Environmental Toxicology and Pharmacology January 2024 105
Publikováno v:
Meikuang Anquan, Vol 54, Iss 8, Pp 106-117 (2023)
In order to study the law of overburden movement and the distribution range of “three zones” under the condition of coal seam group mining, based on the general situation of 42106 working face of Shendong Buertai Coal Mine, the physical experimen
Externí odkaz:
https://doaj.org/article/9a83873a54d74358a1f0f85b988bd88f
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 12047 (2023)
Geometric mean metric learning (GMML) algorithm is a novel metric learning approach proposed recently. It has many advantages such as unconstrained convex objective function, closed form solution, faster computational speed, and interpretability over
Externí odkaz:
https://doaj.org/article/2bf2bff07c7b469faedb8f60f51e4d3a
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12843 (2023)
Large-class few-shot learning has a wide range of applications in many fields, such as the medical, power, security, and remote sensing fields. At present, many few-shot learning methods for fewer-class scenarios have been proposed, but little resear
Externí odkaz:
https://doaj.org/article/d9bf05d2d39448e7b3693573f97605d6
Publikováno v:
Insects, Vol 14, Iss 7, p 613 (2023)
Plutella xylostella L. is a destructive pest affecting cruciferous vegetables, causing massive economic losses worldwide. Plant−based insecticides are considered promising insect control agents. The Angelica pubescens extract inhibited female ovipo
Externí odkaz:
https://doaj.org/article/f5b4f6f117484d2081282930807041fe
Publikováno v:
Nanomaterials, Vol 12, Iss 18, p 3190 (2022)
Semiconductor materials with pore structure have excellent physicochemical properties for photocatalytic reactions. Here, the one-step vulcanization of Cd-based MOF solid rods was successfully developed to synthesize two kinds of CdS rods with pore s
Externí odkaz:
https://doaj.org/article/34631fad5ba244a185aeacc4dbe3bff9
Publikováno v:
International Journal of Circuits, Systems and Signal Processing. 16:287-297
The ambiguity of training samples in the partial label learning framework makes it difficult for us to develop learning algorithms and most of the existing algorithms are proposed based on the traditional shallow machine learn- ing models, such as de
Publikováno v:
International Journal of Circuits, Systems and Signal Processing. 16:215-223
Partial label learning is a new weak- ly supervised learning framework. In this frame- work, the real category label of a training sample is usually concealed in a set of candidate labels, which will lead to lower accuracy of learning al- gorithms co
The raw data for manuscript of "Modeling potential distribution of Tuta absoluta in China under climate change using CLIMEX and MaxEnt"
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077649a4e6743b7c0f10e6da69cbf9f4