Doing single-cell analysis without amplification….
https://cen.acs.org/biological-chemistry/proteomics/single-cell-proteomics-mass-spec/99/i40
Russell’s Paradox (Stanford Encyclopedia of Philosophy)
December 30, 2021https://plato.stanford.edu/entries/russell-paradox/
QT:{{”
John von Neumann’s (1925) untyped method for dealing with paradoxes, and with Russell’s paradox in particular, is simple and ingenious. Von Neumann introduces a distinction between membership and non-membership and, on this basis, draws a distinction between sets and classes. An object is a member (simpliciter) if it is a member of some class; and it is a non-member if it is not a member of any class.
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Russell’s paradox – Wikipedia
December 30, 2021https://en.wikipedia.org/wiki/Russell%27s_paradox
QT:{{”
Informal presentation Most sets commonly encountered are not members of themselves. For example, consider the set of all squares in the plane. This set is not itself a square in the plane, thus it is not a member of itself. Let us call a set “normal” if it is not a member of itself, and “abnormal” if it is a member of itself. Clearly every set must be either normal or abnormal. The set of squares in the plane is normal. In contrast, the complementary set that contains everything which is not a square in the plane is itself not a square in the plane, and so it is one of its own members and is therefore abnormal. Now we consider the set of all normal sets, R, and try to determine whether R is normal or abnormal. If R were normal, it would be contained in the set of all normal sets (itself), and therefore be abnormal; on the other hand if R were abnormal, it would not be contained in the set of all normal sets (itself), and therefore be normal. This leads to the conclusion that R is neither normal nor abnormal: Russell’s paradox.
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List of devices for enhancing zoom session
December 29, 20211. HDMI switcher feed in multiple videos into a computer via USB-C
– ATEM mini https://www.bhphotovideo.com/c/product/1507214-REG/blackmagic_design_swatemmini_atem_mini_switcher_control.html – Alternatively, ATEM mini pro (same function as mini, except it can record video output to a USB drive, you might want this for archiving)
https://www.bhphotovideo.com/c/product/1557461-REG/blackmagic_design_atem_mini_pro_hdmi.html
2. pro-grade microphone that you can plug into the computer via USB Shure MOTIV MV7 Dynamic Cardioid USB and XLR Podcast Microphone (New, Black, Podcaster Bundle with K&M 23840 Desk Arm)
https://www.shure.com/en-US/products/microphones/mv7
3. lighting solution
Soft LED lightbox with stand
https://www.amazon.com/gp/product/B08LGTHW4F/ref=ppx_yo_dt_b_asin_title_o08_s0
Why Covid Death Rates Are Rising for Some Groups – The New York Times
December 29, 2021The Martians (scientists) – Wikipedia
December 29, 2021History of numerical weather prediction – Wikipedia
December 29, 2021https://en.wikipedia.org/wiki/History_of_numerical_weather_prediction
QT:{{”
In 1922, Lewis Fry Richardson published the first attempt at forecasting the weather numerically. Using a hydrostatic variation of Bjerknes’s primitive equations,[2] Richardson produced by hand a 6-hour forecast for the state of the atmosphere over two points in central Europe, taking at least six weeks to do so.[3] His forecast calculated that the change in surface pressure would be 145 millibars (4.3 inHg), an unrealistic value incorrect by two orders of magnitude. The large error was caused by an imbalance in the pressure and wind velocity fields used as the initial conditions in his analysis.[2] The first successful numerical prediction was performed using the ENIAC digital computer in 1950 by a team led by American meteorologist Jule Charney. The team include Philip Thompson, Larry Gates, and Norwegian meteorologist Ragnar Fjørtoft, applied mathematician John von Neumann, and computer programmer Klara Dan von Neumann, M. H. Frankel, Jerome Namias, John C. Freeman Jr., Francis Reichelderfer, George Platzman, and Joseph Smagorinsky.[5][6][7] They used a simplified form of atmospheric dynamics based on solving the barotropic vorticity equation over a single layer of the atmosphere, by computing the geopotential height of the atmosphere’s 500 millibars (15 inHg) pressure surface.[8] This simplification greatly reduced demands on computer time and memory, so the computations could be performed on the relatively primitive computers of the day.[9] When news of the first weather forecast by ENIAC was received by Richardson in 1950, he remarked that the results were an “enormous scientific advance.”[2] The first calculations for a 24‑hour forecast took ENIAC nearly 24 hours to produce,[2] but Charney’s group noted that most of that time was spent in “manual operations”, and expressed hope that forecasts of the weather before it occurs would soon be realized.[8]
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