Results 91 to 100 of about 25,628,644 (319)
Background Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by the accumulation of amyloid-β plaques, tau hyperphosphorylation, and neuroinflammation.
Zhong-Jiang Yan +4 more
doaj +1 more source
Optimal Fuzzy Model Construction with Statistical Information using Genetic Algorithm
Fuzzy rule based models have a capability to approximate any continuous function to any degree of accuracy on a compact domain. The majority of FLC design process relies on heuristic knowledge of experience operators.
Hossain, Md. Amjad +3 more
core +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Monitoring biodiversity in mountain ecosystem biodiversity is vital for preserving these rapidly changing ecosystems, yet it remains challenging due to complex terrain and climate.
Yunyu Wang +6 more
doaj +1 more source
Comparative Phylogeography of Two Specialist Rodents in Forest Fragments in Kenya
The fragmented forests of the Kenya highlands, known for their exceptional species richness and endemism, are among the world’s most important biodiversity hotspots. However, detailed studies on the fauna of these ecosystems—especially specialist species
Alois Wambua Mweu +5 more
doaj +1 more source
ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling
In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li +3 more
wiley +1 more source
Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield +3 more
wiley +1 more source
The primary headaches: genetics, epigenetics and a behavioural genetic model [PDF]
The primary headaches, migraine with (MA) and without aura (MO) and cluster headache, all carry a substantial genetic liability. Familial hemiplegic migraine (FHM), an autosomal dominant mendelian disorder classified as a subtype of MA, is due to mutations in genes encoding neural channel subunits. MA/MO are considered multifactorial genetic disorders,
openaire +3 more sources
The effects of runs-of-homozygosity on pig domestication and breeding
Background Since their domestication, recent inbreeding together with intensive artificial selection and population bottlenecks have allowed the prevalence of deleterious mutations and the increase of runs-of-homozygosity (ROH) in domestic pigs.
Lin Tao +5 more
doaj +1 more source
Quantum Genetics, Quantum Automata and Quantum Computation [PDF]
The concepts of quantum automata and quantum computation are studied in the context of quantum genetics and genetic networks with nonlinear dynamics. In a previous publication (Baianu,1971a) the formal concept of quantum automaton was introduced and its ...
Baianu, Professor I. C.
core

