Blood-collection procedures are frequently performed by medical professionals (phlebotomists) and training programs are ubiquitous in North America. Since blood is a biological specimen and the collection procedure is somewhat invasive, precautions need to be taken to protect collectors and patients from ...
Electron microscopy studies have demonstrated the presence of nerve fibers near osteoblasts but not the presence of synapses [32,50], suggesting that signal transduction by autonomic neurotransmitters and neuropeptides in bone cells is nonsynaptic, occurring from spillover from vascular nerves or blood...
Prior work has shown that layer-specific angiogenesis is due to VEGF derived from specific cell types62. In that case, amacrine and horizontal cell-derived VEGF drives intermediate plexus formation. However, it is also known that Muller glia sense neurotransmitter spillover from amacrine cell synapse...
A distress signal bringsVoyagerto a Hirogen training facility where something has gone very wrong. The facility is a big holodeck, and it turns out that the holograms here took control of their environment and slaughtered all the Hirogen hunters on board. They then transferred their programs to...
(5000 rpm) centrifuge bowl, which separates blood components on the basis of density. As the bowl fills, higher-density red blood cells continually displace other constituents of blood, which spill over into a waste container. When the bowl is filled with red blood cells, a wash cycle rinses...
If the rate of fluid loss from the capillaries is greatly increased, fluid can spill over into the alveoli, causing alveolar edema. This is a potentially life-threatening situation and can occur, for example, as a result of a heart attack (i.e., myocardial infarction), when the left ...
Since the lack of data is an obstacle to the training procedure and evaluation, they proposed synthetic data generation with InfoGAN by learning the information about the samples’ noise and features. The model is an encoder-decoder architecture whose features are the chrominance-based (CHROM) [...
Since the lack of data is an obstacle to the training procedure and evaluation, they proposed synthetic data generation with InfoGAN by learning the information about the samples’ noise and features. The model is an encoder-decoder architecture whose features are the chrominance-based (CHROM) [...