Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Xinyu Min"'
Autor:
Peng Lin, Wenyan Chen, Zhilin Long, Jichuan Yu, Jiayao Yang, Zhen Xia, Qiulian Wu, Xinyu Min, Jing Tang, Ya Cui, Fuyi Liu, Chun Wang, Jian Zheng, Wei Li, Jeremy N. Rich, Lei Li, Qi Xie
Publikováno v:
Cell Discovery, Vol 10, Iss 1, Pp 1-19 (2024)
Abstract Glioblastoma is one of the most lethal malignant cancers, displaying striking intratumor heterogeneity, with glioblastoma stem cells (GSCs) contributing to tumorigenesis and therapeutic resistance. Pharmacologic modulators of ubiquitin ligas
Externí odkaz:
https://doaj.org/article/7054dc9a7eae487eabc6c694ed88f91a
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1360 (2024)
The initial inversion model is typically established in a transient electromagnetic nonlinear inversion, assuming the accurate capture of the number of layers in the geoelectric model; however, this assumption leads to significantly poorer inversion
Externí odkaz:
https://doaj.org/article/f2744e60d90e463c88c6b568ef5c4f82
Publikováno v:
Communications in Computer and Information Science ISBN: 9789819924004
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfe611f2df78e6ce8d386798275b60bb
https://doi.org/10.1007/978-981-99-2401-1_19
https://doi.org/10.1007/978-981-99-2401-1_19
Publikováno v:
International Journal of Forecasting. 31:568-574
We analyze the effectiveness of using fundamental variables of earnings forecasts for constructing mean–variance efficient portfolios. The performances of the Markowitz mean–variance optimal portfolios are examined by selecting stocks based on th
Autor:
Xinyu Min, Shijie Deng
Publikováno v:
The Journal of Investing. 22:104-114
The authors analyze the performance of an optimal global portfolio constructed from a 10-factor stock selection model that includes earning forecasts. Under the Markowitz mean–variance framework, applied optimization techniques are used to address
Publikováno v:
ITSC
This paper introduces a novel model—Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) methodology—into the field of short-term traffic flow forecasting in urban network. Compared to traditional STARIMA, GSTARIMA is a more
Publikováno v:
2009 12th International IEEE Conference on Intelligent Transportation Systems.
This paper puts forward a hybrid spatio-temporal method of short-term traffic forecasting, i.e., Dynamic Space-Time Autoregressive Integrated Moving Average Model (Dynamic STARIMA). This method combines STARIMA model and Dynamic Turn Ratio Prediction
Autor:
DENG, SHIJIE1 deng@isye.gatech.edu, XINYU MIN2 minxinyu@gatech.edu
Publikováno v:
Journal of Investing. Winter2013, Vol. 22 Issue 4, p104-114. 11p.
Publikováno v:
2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC); 2010, p1535-1540, 6p
Publikováno v:
2009 12th International IEEE Conference on Intelligent Transportation Systems; 2009, p1-6, 6p