Results 81 to 90 of about 10,499 (305)
On the generalized vectorization and its inverse
, 2023 Although the vectorization operation is known and well-defined, it is only defined for 2-D matrices, and its inverse isn't as well-popularized. This work proposes to generalize the vectorization to higher dimensions, and define mathematically its inverse
Curtarelli, Vitor
core
Automatic SIMD vectorization for Haskell [PDF]
, 2013 Expressing algorithms using immutable arrays greatly simplifies the challenges of automatic SIMD vectorization, since several important classes of dependency violations cannot occur.
Neal Glew +5 more
core +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
, 2015 V diplomskem delu smo se najprej seznanili z že obstoječimi programi za vektorizacijo rastrske slike in si ogledali njihove funkcionalnosti, delovanja ter jih primerjali med seboj.
Kavaš, Erik
core
VAPI: Vectorization of Algorithm for Performance Improvement
, 2023 This study presents the vectorization of metaheuristic algorithms as the first stage of vectorized optimization implementation. Vectorization is a technique for converting an algorithm, which operates on a single value at a time to one that operates on a
Rashid, Tarik A., Yashar, Mahmood
core
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Improving the Accuracy of Skeleton-Based Vectorization
, 2001 Colloque avec actes et comité de lecture. internationale.International audienceIn this paper, we present a method for correcting a skeleton-based vectorization.
Tombre, Karl +3 more
core +1 more source
Optimization of Finite-Differencing Kernels for Numerical Relativity Applications
Journal of Low Power Electronics and Applications, 2018 A simple optimization strategy for the computation of 3D finite-differencing kernels on many-cores architectures is proposed. The 3D finite-differencing computation is split direction-by-direction and exploits two level of parallelism: in-core ...
Roberto Alfieri +3 more
doaj +1 more source
Vector-Valued Support Vector Regression [PDF]
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006 A vector-valued extension of the support vector regression problem is presented here. The vector-valued variant is developed by extending the notions of the estimator, loss function and regularization functional from the scalar-valued case. A particular emphasis is placed on the class of loss functions chosen which apply the epsiv-insensitive loss ...
openaire +2 more sources
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source