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https://t.co/emX8OxKPl0
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Quantum causal loops
https://t.co/emX8OxKPl0
#loops #quantum
Large-scale commodity farming accelerating climate change in the Amazon
https://t.co/v3gA7OTP9E
#ClimateChange #forest #farm
Collapsed glaciers increase Third Pole uncertainties: Downstream lakes may merge within a decade
https://t.co/huAma56KeB
#glacier #lakes #ClimateChange
From trash to treasure: Silicon waste finds new use in Li-ion batteries
https://t.co/TkxKFDQMC6
#batteries #treasure #silicon #trash
More from For later read
Moderna's mRNA-1273 & Pfizer's BNT162b2 consist of mRNA 3821 nucleotides long encoding *all* 1273 amino acids of the Spike including a 2 Proline-stabilized RBD. This is a plain English Description of the code:
https://t.co/w7koHyMJjL
The article mentions a “10 nucleotide linker” (GCAUAUGACU) in the poly-A tail. This is described in the patent link below (Modification of RNA, producing an increased transcript stability and translation
Here is a link to the full mRNA code if you wish to download it, blast it or make up a batch in your garage
An overview of the encoded spike
Initial mouse
https://t.co/w7koHyMJjL
The article mentions a “10 nucleotide linker” (GCAUAUGACU) in the poly-A tail. This is described in the patent link below (Modification of RNA, producing an increased transcript stability and translation
Here is a link to the full mRNA code if you wish to download it, blast it or make up a batch in your garage
The mRNA sequences used for Moderna mRNA-1273 & Pfizer BNT162b2 mRNA vaccines for COVID-19 (Direct link in Word Format). WHO International Nonproprietary Name Program # 11889 "Messenger RNA encoding the full-length SARS-CoV-2 spike glycoprotein"https://t.co/zTb7B0Apic pic.twitter.com/8tZxAZWI5S
— Roland Baker (@RolandBakerIII) December 24, 2020
An overview of the encoded spike
Moderna's mRNA-1273 & Pfizer's BNT162b2 consist of mRNA 3821 nucleotides long encoding *all* 1273 amino acids of the Spike including a 2 Proline-stabilized RBD and this includes the NTD (blue in monomer, dark gray in trimer attached to antibodies). AA 64, 66, 187, 213, 214 red. pic.twitter.com/4MX1ByAsrR
— Roland Baker (@RolandBakerIII) December 19, 2020
Initial mouse
News: NIH-Moderna investigational COVID-19 vaccine shows promise in mouse studies https://t.co/7JYuUyZT45
— NIH (@NIH) August 5, 2020
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Module 1
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In Module 1 of this Nano course, we will learn about :
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# Importing libraries
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# Using Google Colab
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Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
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You can add code in these cells and add as many cells as you want
# Importing Libraries
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For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
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For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
