A single neuron has hundreds to hundreds of thousands of synapses and at each synapse there is a number of receptors and channels on the receptor end and neurotransmitter molecules and vesicles on the transmitter end. Synapses are far from the nucleus so there are reservoirs of mRNA hanging out waiting to be transcribed that needed to be staged there. There's epigenetic state affecting how much and what type of mRNA is produced. All of these are continuously affected by the combination inputs. How much of this needs to be included in the model? I'd like to see them comment on which parts of the original system they consider out of scope.
What does the client need to do?
Which would be more useful, desktop GUI or command line?
Would it be ok if the client runs on the jvm?
Should it be deployed as a systemd service?
It would be fantastic if Moderna can manufacture and deliver the mRNA into human cells cost effectively and at scale.
Outside the cell, there are enzymes that cut up mRNA. So lipid nanoparticles are used to protect the mRNA. But then even if this makes it into the cell, the nanoparticle itself can be ejected by cell machinery.
If the mRNA can avoid ribonuclease long enough for the mRNA to be translated into protein rather than being degraded, then it seems pretty straightforward that the protein may be bound by MHC and make it to antigen presentation, T cell activation, B cell activation and hopefully affinity maturation and Memory B cells for the viral protein.
As part of my job over the past 2 years I’ve been migrating a data warehouse with data being loaded from Mainframe into BigQuery. I’ve learned a lot and gained respect for the platform.
One of Google’s differentiating products is the TPU, to train neural networks in hardware. Meanwhile, the mainframe has specialized hardware for TLS, gzip compression and encrypted storage.
If it's a critical system and you don't have the ability to fix it but you know it's only a matter of time before it fails, the sensible thing to do is change jobs.
I joined Google less than 3 months before the walkout. Mid level management practically encouraged us to attend. There were big numbers but most were probably there out of curiosity. I was really disappointed. In the New York walkout, there was a tiny area with an underpowered bullhorn and nobody could hear what they were saying. Exactly one hour after it started, everyone was bored of standing around and went straight back to work.
The author of the article is a professor of marketing so I'd be interested to learn his opinion on WeWork's marketing instead of accounting, corporate structure and governance.
Adam's unconventional moves appear extremely outlandish when spelled out in the S-1 disclosures, but because I have no position I just find it entertaining. I'm looking forward to the conference calls.
I worked for WeWork for a short period of time during one of the SoftBank rounds, and one positive unconventional thing the company did was give employees with vested options the opportunity to cash out alongside Adam, rather than being forced to wait until post IPO lockup.