Results 71 to 80 of about 124,788 (331)

A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection [PDF]

, 2022
Marc Wildi, Branka Hadji Misheva
openalex   +1 more source

Down‐regulation of Shh in the hair follicles of mice during chemotherapy‐induced hair loss is mediated by the JAK/STAT1 signaling pathway

FEBS Open Bio, EarlyView.
We found that during chemotherapy‐induced alopecia (CIA), Sonic hedgehog (Shh) expression significantly decreased in hair follicle Shh+ cells, whereas the Janus‐activated kinase/signal transducer and activator of transcription 1 (JAK/STAT1) signaling pathway was markedly activated.
Ruifang Fan, Jingling Huang, Xiang Lin, Tingjiao Lan, Yuli Tang, Ling Sun, Guixuan Zhou   +6 more
wiley   +1 more source

Metformin promotes mitochondrial integrity through AMPK‐signaling in Leber's hereditary optic neuropathy

FEBS Open Bio, EarlyView.
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid, Rapasviranda Soiyangsuk, Maneeluck Tanadjindarat, Chayanon Peerapittayamongkol   +3 more
wiley   +1 more source

A neural network architecture for implementation of expert systems for real time monitoring [PDF]

Since neural networks have the advantages of massive parallelism and simple architecture, they are good tools for implementing real time expert systems.
Ramamoorthy, P. A.
core   +1 more source

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

FEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani, Tobias Dreyer, Meriem Naim, Rea Lo Dico, Natalia A. Ignatenko, Viktor Magdolen, Dalila Darmoul   +6 more
wiley   +1 more source

All trans-retinoic acid protects against acute ischemic stroke by modulating neutrophil functions through STAT1 signaling

Journal of Neuroinflammation, 2019
Background and purpose Regulation of neural inflammation is considered as a vital therapeutic target in ischemic stroke. All-trans retinoic acid (atRA), a potent immune modulator, has raised interest in the field of stroke therapy.
Wei Cai, Julie Wang, Mengyan Hu, Xiao Chen, Zhengqi Lu, Joseph A. Bellanti, Song Guo Zheng   +6 more
doaj   +1 more source

Translating Feedforward Neural Nets to SOM-like Maps [PDF]

, 2003
A major disadvantage of feedforward neural networks is still the difficulty to gain insight into their internal functionality. This is much less the case for, e.g., nets that are trained unsupervised, such as Kohonen¿s self-organizing feature maps (SOMs).
Slump, Kees, Spaanenburg, Lambert, Zwaag, Berend Jan van der   +2 more
core   +2 more sources

The role of lipid metabolism in neuronal senescence

FEBS Open Bio, EarlyView.
Disrupted lipid metabolism, through alterations in lipid species or lipid droplet accumulation, can drive neuronal senescence. However, lipid dyshomeostasis can also occur alongside neuronal senescence, further amplifying tissue damage. Delineating how lipid‐induced senescence emerges in neurons and glial cells, and how it contributes to ageing and ...
Dikaia Tsagkari, Eleftheria Panagiotidou, Nektarios Tavernarakis   +2 more
wiley   +1 more source

The power of neural nets [PDF]

Implementation of the Hopfield net which is used in the image processing type of applications where only partial information about the image may be available is discussed.
Ryan, J. P., Shah, B. H.
core   +1 more source

The performance of approximating ordinary differential equations by neural nets [PDF]

, 2010
The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of computing time but only a small amount of storage memory. For some applications, e.
Brause, Rüdiger W., Fojdl, Josef
core