Results 81 to 90 of about 7,396,511 (284)

Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells

open access: yesFEBS Open Bio, EarlyView.
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim   +4 more
wiley   +1 more source

Recurrent Neural Network Based Narrowband Channel Prediction

open access: yes, 2006
In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction.
Liu, W., Yang, L-L., Hanzo, L.
core   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

open access: yesFEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Treatment with KCL‐286, a first‐in‐class retinoic acid receptor‐β (RARβ) agonist, ameliorates neuronal DNA damage and inflammation in a mouse model of Alzheimer's disease

open access: yesFEBS Open Bio, EarlyView.
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill   +6 more
wiley   +1 more source

Design of CMOS cellular neural networks operating at several supply voltages

open access: yes, 1994
The design of a CMOS cellular neural network able to correctly operate in a wide range of supply-voltages is reported. The electrical characteristics of the basic building blocks are analyzed and discussed.
SETTI, Gianluca   +4 more
core   +1 more source

Brain Tumor Classification Using Neural Network Based Methods [PDF]

open access: yes, 2012
MRI (Magnetic resonance Imaging) brain tumor images Classification is a difficult task due to the variance and complexity of tumors. This paper presents two Neural Network techniques for the classification of the magnetic resonance human brain images ...
Kharat, Kailash D.   +3 more
core   +1 more source

Exponential Synchronization Control of Discontinuous Nonautonomous Networks and Autonomous Coupled Networks

open access: yesComplexity, 2018
This paper concerns complex delayed neural networks with discontinuous activations. Based on the framework of differential inclusion theory, we design two novel controllers by regulating a parameter σ 0 ...
Chao Yang, Lihong Huang, Fangmin Li
doaj   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

open access: yesFEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Adenosine triphosphate as a modulator of protein interactions and stability

open access: yesFEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

Single-electron tunneling depressing synapse for cellular neural networks

open access: yes, 2008
In this paper, a cellular neural network with depressing synapses for contrast-invariant pattern classification and synchrony detection is presented, starting from the impulse model of the single-electron tunneling junction.
Li, N, Chinese Acad Sci, Inst Semicond, Lab Artificial Neural Networks, POB 912, Beijing 100083, Peoples R China. 电子邮箱地址: ningli@red.semi.ac.cn   +2 more
core  

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