Results 91 to 100 of about 12,566,256 (291)
COVID-19, also known as SARS-CoV-2, is a new emerging zoonotic corona virus of the SARS (Severe Acute Respiratory Syndrome) and the MERS (Middle East Respiratory Syndrome) family.
Camillo Sargiacomo +2 more
semanticscholar +1 more source
An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa +3 more
wiley +1 more source
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
The results of studying the effect of EKOM Family Biotrons on the life span of BALB/C mice and Caenorhabditis elegans nematodes are presented. The concentrated biological action of Biotron was found to increase the average and maximum lifespan of these ...
L. Yu. Prokhorov, E. V. Komrakov
doaj +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks
The Internet of Medical Things (IoMT) has significantly advanced healthcare, but it has also brought about critical security challenges. Traditional security solutions struggle to keep pace with the dynamic and interconnected nature of IoMT systems ...
Khadija Begum +3 more
doaj +1 more source
Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines [PDF]
Computer numerical control (CNC) and machine center (MCT) machines are mechanical devices that manipulate different tools using computer programming as inputs.
Ali Athar +4 more
doaj +2 more sources
Cognitive skills improved by BrainWare SAFARI training program: Electroencephalographic study
Background: Executive functions have been shown to be related to academic achievement and the ability to learn. Understanding the role of executive function may offer new learning opportunities for children.
Phakkharawat Sittiprapaporn
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Electroencephalographic changes as neuroscience-based cognitive skill training program
Background: Brain is an organ that is easily affected by the physical changes.Abnormalities are known to occur with the brain in terms of memory, eyesight, intellect, and balance as the brain is an organ that is easily affected by the physical changes ...
Phakkharawat Sittiprapaporn
doaj +1 more source

