Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Mengxue Ren"'
Identification of necroptosis-related gene signatures for predicting the prognosis of ovarian cancer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Ovarian cancer (OC) is one of the most prevalent and fatal malignant tumors of the female reproductive system. Our research aimed to develop a prognostic model to assist inclinical treatment decision-making.Utilizing data from The Cancer Gen
Externí odkaz:
https://doaj.org/article/51ddb1a31bad4da1ae2caba39304e3a4
Publikováno v:
International Journal of Hydrogen Energy. 47:7884-7891
Publikováno v:
Physical Chemistry Chemical Physics. 22:5942-5948
The structural evolution of neutral and anionic iridium-doped boron (B) clusters, IrBn0/- with n = 10-20, has been studied by the Crystal structure AnaLYsis by Particle Swarm Optimization (CALYPSO) method and density functional theory (DFT) calculati
Publikováno v:
Physical Chemistry Chemical Physics. 21:21746-21752
A theoretical study of geometrical structures and electronic properties of niobium-doped boron clusters is performed using the CALYPSO approach for the global minimum search followed by density functional theory calculations. It is found that the glo
Autor:
Mengxue Ren, Shuhua Lu
Publikováno v:
Proceedings of SPIE; 1/19/2020, Vol. 11321, p1-7, 7p
Autor:
Mengxue Ren, Shuhua Lu
Publikováno v:
Proceedings of SPIE; 1/19/2020, Vol. 11321, p1-7, 7p
Publikováno v:
Physical chemistry chemical physics : PCCP. 22(10)
The structural evolution of neutral and anionic iridium-doped boron (B) clusters, IrB
Publikováno v:
2019 4th International Conference on Communication and Information Systems (ICCIS).
Autor:
Mengxue Ren, Shuhua Lu
Publikováno v:
2019 International Conference on Image and Video Processing, and Artificial Intelligence.
Due to the rise of deep learning, person re-identification has become a research hotspot in computer vision. For most person re-identification algorithm, softmax function is used as loss function which could increase the distance of interclasses, but
Autor:
Shuhua Lu, Mengxue Ren
Publikováno v:
2019 International Conference on Image and Video Processing, and Artificial Intelligence.
Due to the rise of convolutional neural network, pedestrian detection has achieved great success. However, the features of many existing methods are not fully utilized, which results in unsatisfactory detection results. A new pedestrian detection mod