Results 61 to 70 of about 876,573 (316)
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
A social network analysis of leading semiconductor companies' knowledge flow network
, 2011 This study (1) constructs a knowledge flow network for leading semiconductor companies; (2) seeks out how leading semiconductor companies can attain knowledge competencies (through patent activities or network position) via social network analysis; and ...
何怡芳 +3 more
core +1 more source
Using deep learning for detecting BotCloud
Tongxin xuebao, 2016 The differences of the basic network flow characteristics between BotCloud and normal cloud services were not obvious, and this led to the inefficiency of the method in BotCloud detection based on network flow characteristics analysis.
Guang KOU +4 more
doaj +2 more sources
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Vectorised Spreading Activation algorithm for centrality measurement
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011 Spreading Activation is a family of graph-based algorithms widely used in areas such as information retrieval, epidemic models, and recommender systems. In this paper we introduce a novel Spreading Activation (SA) method that we call Vectorised Spreading
Alexander Troussov +4 more
doaj +1 more source
Energy Reports, 2021 An integrated energy system that uses various networks to transfer electrical power, natural gas, heating, and cooling energy has been applied widely in recent decades.
Dongwen Chen +4 more
doaj +1 more source
INFORMATION FLOWS IN CAUSAL NETWORKS [PDF]
Advances in Complex Systems, 2008 We use a notion of causal independence based on intervention, which is a fundamental concept of the theory of causal networks, to define a measure for the strength of a causal effect. We call this measure "information flow" and compare it with known information flow measures such as transfer entropy.
NIHAT AY, DANIEL POLANI
openaire +2 more sources
Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
FEBS Letters, EarlyView.Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
wiley +1 more source
CoRRAt the heart of time-series forecasting (TSF) lies a fundamental challenge: how can models efficiently and effectively capture long-range temporal dependencies across ever-growing sequences? While deep learning has brought notable progress, conventional architectures often face a trade-off between computational complexity and their ability to retain ...
Hongbo Liu, Jia Xu 0004
openaire +2 more sources
FEBS Letters, EarlyView.Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas +3 more
wiley +1 more source