Results 161 to 170 of about 781,590 (289)
Brain metastasis‐associated fibroblasts are active stromal components of the metastatic niche characterised by extracellular matrix remodelling and production of pro‐migratory mediators. They promote monocyte and cancer cell migration and enhance cancer cell invasion while having no growth‐promoting effect on cancer cells.
Barbora Výmolová +19 more
wiley +1 more source
Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]
Benková K, Pearson JW, Ptashnyk M.
europepmc +1 more source
This thesis explores the use of fine-grain synchronization in the preconditioned conjugate gradient (PCG) method using the modified incomplete Cholesky factorization of the coefficient matrix as a ...
Yeung, Donald
core
Background and Purpose Peripherally derived adiponectin crosses the blood–brain barrier and targets severa0l brain regions. Adiponectin receptors are highly expressed in the hippocampus, and play a pro‐cognitive role as adiponectin markedly influences the functioning of hippocampal synapses.
Alexandra Soca +4 more
wiley +1 more source
Upregulated PKM2 Protects Dopaminergic Neurons From Oxidative Damage Through Nrf2 Transactivation in an MPTP-Induced Mouse Model of Parkinson's Disease. [PDF]
Mei M +6 more
europepmc +1 more source
In this paper, we propose preconditioned conjugate gradient method by applying preconditioning technique to the search direction. Besides, we also enforce the search direction to satisfy sufficient descent and boundedness condition.
Muhammad Nizammul Hayad Bin Yahya
core
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
Deep Learning-Based 3D Gravity Inversion with Well-Logging Prior Information. [PDF]
Cai MT, Zhang YJ, Jiang AF, He L.
europepmc +1 more source
Hierarchical Differentiable Fluid Simulation
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
wiley +1 more source
A 3D inversion method of TEM combining PSO-NLCG optimization and adaptive regularization. [PDF]
Jianqiang C +9 more
europepmc +1 more source

