Results 51 to 60 of about 3,923,016 (254)
Using Deep Learning for Flexible and Scalable Earthquake Forecasting
Seismology is witnessing explosive growth in the diversity and scale of earthquake catalogs. A key motivation for this community effort is that more data should translate into better earthquake forecasts. Such improvements are yet to be seen.
Kelian Dascher‐Cousineau+3 more
doaj +1 more source
Glutaredoxin (Grx) 3 proteins contain a thioredoxin domain and one to three class II Grx domains. These proteins play a crucial role in iron homeostasis in eukaryotic cells. In human Grx3, at least one of the two Grx domains, together with the thioredoxin domain, is essential for its function in iron metabolism.
Laura Magdalena Jordt+4 more
wiley +1 more source
Many studies had established the chronic kidney disease (CKD) prediction models, but most of them were conducted on the general population and not on patients with type 2 diabetes, especially in Asian populations.
Cheng-Chieh Lin+6 more
doaj +1 more source
Implementing a One Address CPU in Logisim [PDF]
Most computer users have an incorrect, but useful, cognitive metaphor for computers in which the user says (or types or clicks) something and a mystical, almost intelligent or magical, behavior happens.
Kann, Charles W
core +1 more source
Update Consistency for Wait-free Concurrent Objects [PDF]
In large scale systems such as the Internet, replicating data is an essential feature in order to provide availability and fault-tolerance. Attiya and Welch proved that using strong consistency criteria such as atomicity is costly as each operation may ...
Jard, Claude+2 more
core +3 more sources
Cyclic nucleotide signaling as a drug target in retinitis pigmentosa
Disruptions in cGMP and cAMP signaling can contribute to retinal dysfunction and photoreceptor loss in retinitis pigmentosa. This perspective examines the mechanisms and evaluates emerging evidence on targeting these pathways as a potential therapeutic strategy to slow or prevent retinal degeneration.
Katri Vainionpää+2 more
wiley +1 more source
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria+3 more
wiley +1 more source
Задача Коші для диференціальних рівнянь вищих порядків у банаховому просторі [PDF]
The solutions to an abstract m-harmonic equation on (0,∞) are described. The necessary and sufficient conditions on initial data, under which the Cauchy problem for such an equation is solvable in the class of finite-order and finite-type entire vector ...
Горбачук, В.І.+1 more
core
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
Identifying sensitive and specific measures that can quantify myelin are instrumental in characterizing microstructural changes in neurological conditions. Neuroimaging transcriptomics is emerging as a valuable technique in this regard, offering insights
Jaimie J. Lee+6 more
doaj +1 more source