Results 81 to 90 of about 923,492 (296)

Physical, Chemical and Biological Effects on Soil Bacterial Dynamics in Microscale Models

open access: yesFrontiers in Ecology and Evolution, 2020
Soil is populated by highly diverse microbial communities mediating important processes and functions. The distribution of microbes, however, is neither uniform nor random.
Sara König   +4 more
doaj   +1 more source

Stochastic flows in the Brownian web and net

open access: yes, 2013
Certain one-dimensional nearest-neighbor random walks in i.i.d. random space-time environments are known to have diffusive scaling limits. In the continuum limit, the random environment is represented by a `stochastic flow of kernels', which is a ...
Schertzer, Emmanuel   +2 more
core   +1 more source

A class of random walks in reversible dynamic environment: antisymmetry and applications to the East model [PDF]

open access: yes, 2016
We introduce via perturbation a class of random walks in reversible dynamic environments having a spectral gap. In this setting one can apply the mathematical results derived in http://arxiv.org/abs/1602.06322.
Avena, Luca   +2 more
core   +5 more sources

RIPK4 function interferes with melanoma cell adhesion and metastasis

open access: yesMolecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski   +9 more
wiley   +1 more source

Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Mud volcanoes are geological formations resulting from the expulsion of mud, gases, and fluids from deep underground. Monitoring these formations provides critical insights into subsurface processes and geological hazards. This study focuses on detecting
M. Guastella   +4 more
doaj   +1 more source

Measuring the degree of unitarity for any quantum process

open access: yes, 2014
Quantum processes can be divided into two categories: unitary and non-unitary ones. For a given quantum process, we can define a \textit{degree of the unitarity (DU)} of this process to be the fidelity between it and its closest unitary one.
Cui, Jing-Xin, Wang, Z. D.
core   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

open access: yesMolecular 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

Maximum entropy modelling of sub-optimal transport

open access: yesCommunications Physics
Many natural systems involve structures shaped by competing forces: efficiency, randomness, and incomplete information. To the best of our knowledge, there is currently no robust method to assess the presence of optimization processes in real networks ...
Lorenzo Buffa   +5 more
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Multi-Level Short Circuit Fault Detection in Induction Motors Using Deep CNN-LSTM Networks for Industry 4.0 Applications

open access: yesEng
The reliability and efficiency of induction motors in Industry 4.0 environments critically depend on advanced fault detection systems capable of real-time monitoring and diagnosis.
Jalila Kaouthar Kammoun   +2 more
doaj   +1 more source

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