Zobrazeno 1 - 10
of 302
pro vyhledávání: '"LI GUOYIN"'
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 209-49 (2023)
Pyroptosis is a recently identified form of programmed cell death; however, its role in lung adenocarcinoma (LUAD) remains unclear. Therefore, we set out to explore the prognostic potential of pyroptosis-related genes in LUAD. The pyroptosis-related
Externí odkaz:
https://doaj.org/article/8809be99cd294b148dc8d4d64ef3957b
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 49, Iss 1, Pp 24-31 (2022)
Objective To explore the relation between SLC16A family and clinical characteristics, biological behavior of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Methods The expression of 14 members of the SLC16A family in LUAD tissues
Externí odkaz:
https://doaj.org/article/7760262e5ba94b4b9e387973a9fe4982
Autor:
Li Guoyin
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 235, Iss 3, Pp 531-533 (2020)
C29H20F6N6S2, monclinic, C2/c (no. 15), a = 26.2504(11) Å, b = 8.6981(4) Å, c = 13.3064(6) Å, β = 107.659(2)°, V = 2895.1(2) Å3, Z = 4, Rgt(F) = 0.0436, wRref(F2) = 0.1314, T = 296(2) K.
Externí odkaz:
https://doaj.org/article/a4d7ffa8717f448697a22b5a93b385cf
This paper pursues a twofold goal. First, we introduce and study in detail a new notion of variational analysis called generalized metric subregularity, which is a far-going extension of the conventional metric subregularity conditions. Our primary f
Externí odkaz:
http://arxiv.org/abs/2406.13207
Publikováno v:
EJCO_100094 (2024): EURO Journal on Computational Optimization
This paper presents exact Semi-Definite Program (SDP) reformulations for infinite-dimensional moment optimization problems involving a new class of piecewise Sum-of-Squares (SOS)-convex functions and projected spectrahedral support sets. These reform
Externí odkaz:
http://arxiv.org/abs/2402.07064
In this paper, we consider a class of nonconvex and nonsmooth fractional programming problems, which involve the sum of a convex, possibly nonsmooth function composed with a linear operator and a differentiable, possibly nonconvex function in the num
Externí odkaz:
http://arxiv.org/abs/2312.14341
Publikováno v:
Numer Algor 94, 1763-1795 (2023)
In this paper, we consider a class of structured nonconvex nonsmooth optimization problems, in which the objective function is formed by the sum of a possibly nonsmooth nonconvex function and a differentiable function whose gradient is Lipschitz cont
Externí odkaz:
http://arxiv.org/abs/2208.12432
Publikováno v:
In Engineering Structures 15 November 2024 319
The Frank-Wolfe (FW) method, which implements efficient linear oracles that minimize linear approximations of the objective function over a fixed compact convex set, has recently received much attention in the optimization and machine learning litera
Externí odkaz:
http://arxiv.org/abs/2112.14404
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 April 2024 423