Results 51 to 60 of about 1,906,656 (324)
MiRNAs are small non-coding regulatory RNAs which are associated with multiple diseases. Increasing evidence has shown that miRNAs play important roles in various biological and physiological processes.
Yu Qu +3 more
doaj +1 more source
Tutorial: Neuromorphic spiking neural networks for temporal learning
Spiking neural networks (SNN) as time-dependent hypotheses consisting of spiking nodes (neurons) and directed edges (synapses) are believed to offer unique solutions to reward prediction tasks and the related feedback that are classified as reinforcement
Jeong, Doo Seok
core +1 more source
When evaluating strong ground motions and tsunamis from specified source faults, it is required that the input parameters, such as fault geometry, rake angle, and slip amount, do not deviate from those of a real earthquake.
Takeo Ishibe +4 more
doaj +1 more source
Prediction of Potential Small Molecule-Associated MicroRNAs Using Graphlet Interaction
MicroRNAs (miRNAs) have been proved to be targeted by the small molecules recently, which made using small molecules to target miRNAs become a possible therapy for human diseases.
Na-Na Guan +5 more
doaj +1 more source
Double matrix completion for circRNA-disease association prediction
Circular RNAs (circRNAs) are a class of single-stranded RNA molecules with a closed-loop structure. A growing body of research has shown that circRNAs are closely related to the development of diseases.
Zonglan Zuo +4 more
semanticscholar +1 more source
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source
The epidemic-type aftershock sequence (ETAS) model is commonly used for seismic risk assessment and earthquake forecasting. It incorporates physically interpretable parameters that control the behavior of offsprings.
Thystere Matondo Bantidi +4 more
doaj +1 more source
QIMCMDA: MiRNA-Disease Association Prediction by q-Kernel Information and Matrix Completion
Studies have shown that microRNAs (miRNAs) are closely associated with many human diseases, but we have not yet fully understand the role and potential molecular mechanisms of miRNAs in the process of disease development.
Lin Wang +5 more
doaj +1 more source
Forecasting tropical cyclone tornadoes and impacts: Report from IWTC-X
This report synthesizes global tropical cyclone (TC) tornado research and operational practices to date. Tornadoes are one of the secondary (and lesser researched) hazards contributing to the devastation TCs leave in their wake.
Dereka Carroll-Smith +8 more
doaj +1 more source
We present predictions for the production cross section of a Standard Model Higgs boson in association with a top-antitop pair at next-to-leading order accuracy using matrix elements obtained from the HELAC-Oneloop package.
A. Kardos +22 more
core +1 more source

