Results 121 to 130 of about 66,227 (316)

Multigrid Methods for Total Variation

Deanonymised version of the article submitted (and later accepted) to Scale-Space and Variational Methods (SSVM) 2025.
Felipe Guerra, Tuomo Valkonen
openaire   +3 more sources

On Variational Fourier Particle Methods

Journal of Scientific Computing
AbstractIn this article we describe a unifying framework for variational electromagnetic particle schemes of spectral type, and we propose a novel spectral Particle-In-Cell (PIC) scheme that preserves a discrete Hamiltonian structure. Our work is based on a new abstract variational derivation of particle schemes which builds on a de Rham complex where ...
Martin Campos Pinto, Jakob Ameres, Katharina Kormann, Eric Sonnendrücker   +3 more
openaire   +2 more sources

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Variational Approach of Marangoni Mixed Convection Boundary Layer Flow with Pade Technique

Journal of Applied Fluid Mechanics, 2016
In this paper, Variational Iteration method with combining Pade approximation (Modified Variational Iteration Method-MVIM) is performed to Marangoni convection flow over the surface with buoyancy effects which is occurred gravity and external pressure ...
Murat Gubes, Galip Oturanc
doaj  

Analytical Model for Early Design Stage of Cable-Stayed Suspension Bridges Based on Hellinger-Reissner Variational Method. [PDF]

Materials (Basel), 2022
Feng Q, Wei P, Lou J, Wang D, Cai J, Xu R.   +5 more
europepmc   +1 more source

Variational method for adiabatic compression of plasma with poloidal and toroidal rotation

, 1989
A variational method is developed for adiabatic compression of plasma with both poloidal and toroidal ...
Pan LJ(潘良儒)
core   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

Simplified variational iteration method for solving ordinary differential equations and eigenvalue problems

Advances in Mechanical Engineering, 2016
A simplified variational iteration method is proposed to solve high-order homogeneous or nonhomogeneous linear ordinary differential equation and ordinary differential equation eigenvalue problems more efficiently and conveniently.
Chao Pan, Ruifu Zhang, Hao Luo, Hua Shen
doaj   +1 more source

Application of Variational Method to Stability Analysis of Cantilever Vertical Plates with Bimodular Effect. [PDF]

Materials (Basel), 2021
Xue XY, Du DW, Sun JY, He XT.
europepmc   +1 more source

A Stein variational Newton method

, 2019
Stein variational gradient descent (SVGD) was recently proposed as a general purpose nonparametric variational inference algorithm [Liu & Wang, NIPS 2016]: it minimizes the Kullback-Leibler divergence between the target distribution and its approximation
Spantini, Alessio, Marzouk, Youssef M
core