The motive of these investigations is to present the numerical performances of the fractional order mathematical influenza disease model (FO-MIDM) by designing the computational framework based on the stochastic Levenberg-Marquardt backpropagation neural networks (LMBNNs).The fractional order derivatives have been used to get more accurate performa
There is an increased demand for tuna meat to supply the growing global sushi and sashimi market.Current methods to farm tunas, especially Atlantic bluefin tunas (ABFTs; Thunnus thynnus), are 70 qt storage bin unsustainable.This is driving a movement towards closed-cycle ABFT aquaculture, i.e., farming tuna from spawning and hatching to slaughter o
Proliferation, a key feature of cancer cells, accounts for the majority of cancer-related diseases resulting in mortality.MicroRNAs (miRNAs) plays important post-transcriptional modulation roles by acting on multiple signaling pathways, but the underlying mechanism in proliferation and tumorigenicity is unclear.Here, we identified the role of miR-1
This paper considers the problem of censoring outliers from the secondary dataset in a radar scenario where the sample support is limited.To this end, the generalized regularized likelihood ashley furniture porter b697-92 (porter 3-drawer nightstand) function (GRLF) criterion is used and the corresponding regularized maximum likelihood (RML) estima
Abstract Attention allows the listener to select relevant information from their environment, and disregard what is irrelevant.However, irrelevant stimuli sometimes manage to capture it and stand out from a scene because of bottom-up processes driven by salient stimuli.This attentional capture effect was observed using an implicit approach based on