Zobrazeno 1 - 10
of 11
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29768e32452542543d8befab125809e3
https://doi.org/10.1016/j.ijhydene.2021.12.111
https://doi.org/10.1016/j.ijhydene.2021.12.111
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b2d359ab1c2360ffe99376bbce32162
https://doi.org/10.1039/c9cp06330g
https://doi.org/10.1039/c9cp06330g
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36e4ec8f6bfa85682660ffcd6336b0f3
https://doi.org/10.1039/c9cp03496j
https://doi.org/10.1039/c9cp03496j
Publikováno v:
Physical chemistry chemical physics : PCCP. 22(10)
The structural evolution of neutral and anionic iridium-doped boron (B) clusters, IrB
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ffac372b27419d930a64ae2d09ae8e42
https://pubmed.ncbi.nlm.nih.gov/32115590
https://pubmed.ncbi.nlm.nih.gov/32115590
Publikováno v:
2019 4th International Conference on Communication and Information Systems (ICCIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f14cfbd7c50e019a3929a67dbfd2329
https://doi.org/10.1109/iccis49662.2019.00040
https://doi.org/10.1109/iccis49662.2019.00040
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df703cab0bcc0c1db21a817591e18bd8
https://doi.org/10.1117/12.2541683
https://doi.org/10.1117/12.2541683
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e316d93c12ba0948ee26d3041a91ee3d
https://doi.org/10.1117/12.2541708
https://doi.org/10.1117/12.2541708
Autor:
Mengxue, Ren, Siyu, Jin, Donghe, Wei, Yuanyuan, Jin, Yonghong, Tian, Cheng, Lu, Gennady L, Gutsev
Publikováno v:
Physical chemistry chemical physics : PCCP. 21(39)
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0829e713718a42bea4c908fd9906d64a
https://pubmed.ncbi.nlm.nih.gov/31552405
https://pubmed.ncbi.nlm.nih.gov/31552405