Results 71 to 80 of about 15,044 (262)
The cysteine redox state of the Hendra virus W (WHeV) protein controls assembly into fibrils or amorphous aggregates, with residues 2–29 required for fibrillation. In cells, WHeV forms different types of nuclear condensates. Impaired ability to form redox‐sensitive, non‐filamentous condensates reduces WHeV inhibition of the NF‐κB pathway, while it ...
Frank Gondelaud +12 more
wiley +1 more source
ANALYSIS OF CLUSTERING METHODS ON THE CAUSAL FACTORS OF DIABETES MELLITUS WITH FUZZY C MEANS METHOD
This study focuses on the effectiveness of clustering algorithms, namely Fuzzy C-Means by using k-Means algorithm as a supporting method, in the factors that cause Diabetes Mellitus.
Afdhal Reshanda Adiwidyatma +2 more
doaj +1 more source
The Mind From Within: Visceral Roots of Human Cognition
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti +1 more
wiley +1 more source
Interval type-2 fuzzy c-means (IT2FCM) clustering algorithm can describe more uncertainty than fuzzy c-means (FCM) clustering algorithm by using two fuzzifiers to construct a more inclusive boundary.
Feng Zhao +3 more
doaj +1 more source
Dynamic Regulation of Endogenous Transcription Factor Hubs at Single‐Molecule Resolution
This study combines single‐molecule microscopy and genome editing to characterize the dynamic behaviors of endogenous oncofusion transcription factor EWS::FLI1 in Ewing sarcoma cells. EWS::FLI1 forms neomorphic hubs that dynamically assemble and dissolve. The hubs are regulated during mitosis, by RNA, and by specific chemicals.
Shawn Yoshida +4 more
wiley +1 more source
Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization
Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. The neutrosophic set, which is an extension of the fuzzy set, has received extensive attention in solving ...
Qiaoyan Li +3 more
doaj +1 more source
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
ABSTRACT Glioblastoma multiforme (GBM) remains largely incurable due to the blood‐brain barrier (BBB) and immunosuppressive microenvironment. While boron neutron capture therapy (BNCT) selectively eradicates tumor cells via 10B(n, α)‐7Li reactions, its clinical potential in GBM is unrealized because of the suboptimal pharmacokinetics of conventional ...
Jiawen Chen +22 more
wiley +1 more source
A closed‐loop brain–machine interface with a PFAPT hydrogel electrode identifies prefrontal θ‐band as a neuropathic pain biomarker. The hydrogel enables stable 28 d ECoG recording and delivers θ‐triggered cortical stimulation, alleviating pain and affective behaviors in rats via bidirectional regulation of inflammation and central sensitization ...
Yun Ji +17 more
wiley +1 more source
Owing to the increase and the complexity of data caused by the uncertain environment, the water environment monitoring system in Three Gorges Reservoir Area faces much pressure in data handling.
Yuanchang Zhong +4 more
doaj +1 more source

