Results 101 to 110 of about 338,860 (400)
Deep neural network (DNN) classifiers are potent instruments that can be used in various security-sensitive applications. Nonetheless, they are vulnerable to certain attacks that impede or distort their learning process.
Orson Mengara+2 more
doaj +1 more source
Towards High Efficient Long-horizon Planning with Expert-guided Motion-encoding Tree Search [PDF]
Autonomous driving holds promise for increased safety, optimized traffic management, and a new level of convenience in transportation. While model-based reinforcement learning approaches such as MuZero enables long-term planning, the exponentially increase of the number of search nodes as the tree goes deeper significantly effect the searching ...
arxiv
Transforming growth factor-beta targets Formin-like 2 for Angiopoietin-like 4 secretion during the epithelial mesenchymal transition [PDF]
Epithelial to Mesenchymal transition (EMT) is a highly dynamic process that plays a crucial role in tumor progression and metastasis. While remodelling of the actin cytoskeleton is a hallmark of EMT, the responsible actin regulating factors are less well
Moussi, Christel Jessica
core +1 more source
Tumor Dissemination: An EMT Affair [PDF]
A recent paper reports that circulating tumor cells (CTCs) from metastatic breast cancer patients exhibit heterogeneous epithelial and mesenchymal phenotypes and that CTCs display higher frequencies of partial or full-blown mesenchymal phenotype than carcinoma cells within primary tumors.
Jean Paul Thiery+2 more
openaire +3 more sources
Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane+16 more
wiley +1 more source
Single-pixel terahertz imaging: a review
This paper is devoted to reviewing the results achieved so far in the application of the single-pixel imaging technique to terahertz (THz) systems. The use of THz radiation for imaging purposes has been largely explored in the last twenty years, due to ...
Zanotto Luca+4 more
doaj +1 more source
Meta-Analysis of EMT Datasets Reveals Different Types of EMT
As a critical process during embryonic development, cancer progression and cell fate conversions, epithelial-mesenchymal transition (EMT) has been extensively studied over the last several decades. To further understand the nature of EMT, we performed meta-analysis of multiple microarray datasets to identify the related generic signature. In this study,
Wei Zhang+6 more
openaire +5 more sources
Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu+15 more
wiley +1 more source
A perspective on effective medium models of thermal conductivity in (ultra)nanocrystalline diamond films [PDF]
Thermal conductivity of nanocrystalline and ultra-nanocrystalline films is analyzed with effective medium theory (EMT) models. The existing EMT models use the spherical inclusion approximation. Although this approximation works quite well it is inconsistent, mostly with respect to the maximal packing of 74{\%}, which may be unrealistic for ...
arxiv +1 more source
Dbl oncogene expression in MCF-10 A epithelial cells disrupts mammary acinar architecture, induces EMT and angiogenic factor secretion. [PDF]
The proteins of the Dbl family are guanine nucleotide exchange factors (GEFs) of Rho GTPases and are known to be involved in cell growth regulation. Alterations of the normal function of these proteins lead to pathological processes such as developmental
Bosco MC+10 more
core +1 more source