Results 181 to 190 of about 579,758 (339)

Regulating Tumor Metabolic Reprogramming with Biomimetic Co‐Delivery of Simvastatin and Kynureninase for Immunotherapy

Advanced Science, EarlyView.
After the intravenous injection of biomimetic and pH/ROS‐responsive PTSK@CRM, the nanoparticles can be accumulated in tumors and release Sim and KYNase to inhibit the tumor growth, regulate the metabolism of cholesterol and Kyn, and reverse the immunosuppressive tumor microenvironment.
Jiaxin Yin, Shengcai Yang, Zengguang Liu, Songchen Zhao, Siyu Sun, Ziling Liu, Quanshun Li   +6 more
wiley   +1 more source

Optimal Estimation of a Signal Generated Using a Dynamical System Modeled with McKean-Vlasov Stochastic Differential Equations. [PDF]

Entropy (Basel)
Dragan V, Aberkane S.
europepmc   +1 more source

Path integral methods for stochastic differential equations. [PDF]

J Math Neurosci, 2015
Chow CC, Buice MA.
europepmc   +1 more source

Asymptotic behavior for neutral stochastic partial differential equations with infinite delays

, 2013
Jing Cui, Litan Yan
openalex   +1 more source

Stochastic differential equations [PDF]

Applications of Mathematics, 1959
openaire   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Author Correction: Sparse inference and active learning of stochastic differential equations from data. [PDF]

Sci Rep
Huang Y, Mabrouk Y, Gompper G, Sabass B.
europepmc   +1 more source

On stochastic differential equations with arbitrarily slow convergence rates for strong approximation in two space dimensions. [PDF]

Proc Math Phys Eng Sci, 2017
Gerencsér M, Jentzen A, Salimova D.
europepmc   +1 more source

Controllability study on fractional order impulsive stochastic differential equation∗∗The work was supported by National Board for Higher Mathematics, Mumbai, India under the grant No: 2/48(5)/2013/NBHM (R.P.)/RD-II/688 dt 16.01.2014.

, 2016
B. Ganesh Priya, P. Muthukumar
openalex   +1 more source

Single‐Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region

Advanced Science, EarlyView.
Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen, Shuyang Yao, Sihui Cheng, Jiayi Tian, Ang Li, Yusen Yan, Xiang Zhang, Yuanjing Liu, Yumeng Wang, Qichen Cao, Chenglin Miao   +10 more
wiley   +1 more source