Data from the Neonatal Research Network's Glutamine Trial showed that the incidence of NEC among extremely low birthweight (ELBW) infants fed with more than 98% human milk was 1.3%, compared with 11.1% among infants fed only preterm formula, and 8.2% among infants fed a mixed diet, suggesting that infant deaths could be reduced by efforts to support production of milk by mothers of ELBW newborns. [1]

  1. ^ Colaizy, Tarah T.; Melissa C. Bartick, Briana J. Jegier, Brittany D. Green, Arnold G. Reinhold, Andrew J. Schaefer, Debra L. Bogen, Eleanor Bimla Schwarz, and Alison M. Stuebe (2016). "Impact of Optimized Breastfeeding on the Costs of Necrotizing Enterocolitis in Extremely Low Birthweight Infants". The Journal of Pediatrics. doi:10.1016/j.jpeds.2016.03.040.{{cite journal}}: CS1 maint: multiple names: authors list (link)

Adding the trigonometric identities:

we see that


Table for generating random digits with ordinary dice
R/C 1 2 3 4 5 6
1 0 1 2 3 4 5
2 6 7 8 9 0 1
3 2 3 4 5 6 7
4 8 9 0 1 2 3
5 4 5 6 7 8 9


Table for generating random characters with ordinary dice
R/C 1 2 3 4 5 6
1 0 1 2 3 4 5
2 6 7 8 9 a b
3 c d e f g h
4 i j k l m n
5 o p q r s t
6 u v w x y z

Table for converting message to base-6

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Table for converting a message to base-6
PT CT PT CT PT CT PT CT
0 00 A 14 K 32 U 50
1 01 B 15 L 33 V 51
2 02 C 20 M 34 W 52
3 03 D 21 N 35 X 53
4 04 E 22 0 40 Y 54
5 05 F 23 P 41 Z 55
6 10 G 24 Q 42
7 11 H 25 R 43
8 12 I 30 S 44
9 13 J 31 T 45

Revised table

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Table for converting messages to base-6
PT 0 1 2 3 4 5 6 7 8 9
CT 0 1 2 3 4 5 10 11 12 13
PT A B C D E F G H I J K L M
CT 14 15 20 21 22 23 24 25 30 31 32 33 34
PT N O P Q R S T U V W X Y Z
CT 35 40 41 42 43 44 45 50 51 52 53 54 55

Silver line statistics

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Silver Line ridership and costs, mid-2012[1]
SL1 SL2 SL4 SL5 SLW
Daily ridership 8,388 5,214 5,799 15,472 2,594
Ridership rank 10 21 19 1 52
Net profit/ passenger $0.07 $-0.30 $-0.58 $0.03 $0.17
Profitability rank 2 4 6 3 1

Rail freight by network

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Rail freight by network, billion tonne-km
2010, 2015[2]
Network Gt-km Countries
North America 2863 U.S., Canada, Mexico 2,547 US +41 Mex??
China 1980
Russia 2341 CIS + Mongolia 2305+11
India 607 includes Pakistan (6) 682 +3
European Union 391 27 member countries 10
Brazil 269 includes Bolivia (1) 41
South Africa 115 includes Zimbabwe (1.6)
Australia 64
Japan 20


Rail freight by network, billion tonne-km
2010[3]
Network Gt-km Countries
North America 2863 U.S., Canada, Mexico
China 2451
Russia 2341 CIS + Mongolia
India 607 includes Pakistan (6)
European Union 391 27 member countries
Brazil 269 includes Bolivia (1)
South Africa 115 includes Zimbabwe (1.6)
Australia 64
Japan 20

MBTA car table

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MBTA subway car dimensions
Line Length Width Platform Ht. Power
Red 69.5' 120" 49" Third rail
Orange 65' 111" 45" Third rail
Blue 48' 111" 41.5" Third rail, Overhead
Green 72 104" Low Overhead

In mathematics, a group is a set together with an operation that combines any two elements of the set to form an element also in the set. The group operation must obey the associative property and be reversible, meaning any operation can be undone by a second operation. A familiar example of a group is the set of integers together with the addition operation.

The requirements to be a group are usually stated as four conditions called the group axioms:

  1. the operation must only produce elements within the group (closure)
  2. the associative property: (ab) • c = a • (bc), where a, b and c are any elements of the group and the symbol • stands for the group operation
  3. the group must contain an identity element that leaves other elements unchanged under the group operation
  4. every element must have an inverse. A group element when combined with its inverse always produces the identity element.

For the set of integers under addition, zero is the identity element and the negative of a number is its inverse.

A rich theory of groups has developed since the mid-nineteenth century, and they are a powerful tool that mathematicians use to solve a wide variety of theoretical and practical problems. The ubiquity of groups in numerous areas within and outside mathematics makes them a central organizing principle of contemporary mathematics.[1][2]

One of the most important mathematical achievements of the 20th century[3] was the collaborative effort, taking up more than 10,000 journal pages and mostly published between 1960 and 1980, that culminated in a complete classification of finite simple groups.


Second example: the even numbers

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The set of all even integers also forms a group under addition. It is easy to check the group axioms: the sum of two even number is even (closure); addition of integers always obeys the associative rule; the identity element for addition, zero, is an even number; and, finally, the negative of an even number is even, so every even number has an inverse in the set. The group of even integers is a subgroup of the group of integers, and usually written 2Z. Similarly, the subset of the integers that are evenly divisible by 3: {... -12, -9, -6, -3, 0, 3, 6, 9, 12, ...} forms a group. So do the integers that are evenly divisible by 4, or by 5, or by any integer n. The set of all integers that are evenly divisible by n, that is all integers that are the product of n and another integer, form a sugroup of the group of integers Z. Closure is true because na +nb = n(a + b). This subgroup is often called nZ.

We can define a function, f from Z to nZ by f(a) = na. Because n(a + b) = na +nb, the function f has the property that f(a + b) = f(a) + f(b). A function from one group to another that has this property is called a homomorphism. In this case, the function f is one to one and onto, making it also a isomorphism. Because an isomoprhism exists between them, we say Z and nZ are isomorphic. Isomorphic groups are essentially identical for group theory even though their underlying sets may differ.

Third example: Modular addition

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The hours on a clock form a group that uses addition modulo 12. Here 9 + 4 = 1

The integers are an example of an infinite group, but groups can also be constructed on finite sets. In modular addition, two integers are added and then the sum is divided by a positive integer called the modulus. The result of modular addition is the remainder of that division. For any modulus, n, the set of integers from 0 to n-1 forms a group under modular addition. The inverse of any element a is n-a, and 0 is the identity element. These groups are known as the #cyclic groups. An everyday example is addition on the face of a clock, where the hour hand is advanced a certain number of hours from an initial position to a new position. If the hand is on 9 and is advanced 4 hours, it ends up on 1. This equivalent to modular addition with 12 as the modulus: 9 + 4 = 13 = 1 mod (12). The group of integers modulo n is sometimes written Zn or Z/nZ.

A finite group can also be defined by a table of operations. Here is the addition table for the integers modulo 3:

+ 0 1 2
0 0 1 2
1 1 2 0
2 2 0 1



+ 0 1 2 3 4 5
0 0 1 2 3 4 5
1 1 2 3 4 5 0
2 2 3 4 5 0 1
3 3 4 5 0 1 2
4 4 5 0 1 2 3
5 5 0 1 2 3 4


+ 0 1 2 3 4
0 0 1 2 3 4
1 1 2 3 4 0
2 2 3 4 0 1
3 3 4 0 1 2
4 4 0 1 2 3
× 0 1 2 3 4
0 0 0 0 0 0
1 0 1 2 3 4
2 0 2 4 1 3
3 0 3 1 4 2
4 0 4 3 2 1

Z4 and Klein4

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+ 0 1 2 3
0 0 1 2 3
1 1 2 3 0
2 2 3 0 1
3 3 0 1 2
× 1 3 5 7
0 1 3 5 7
3 3 1 7 5
5 5 7 1 3
7 7 5 3 1

 
The numbers on a clock form a group, where the operation places the hour hand on the first number and moves the hand ahead by the second number of hours.

The abstract formalization of the group axioms, detached as it is from the concrete nature of any particular group and its operation, allows entities with highly diverse mathematical origins in abstract algebra and beyond to be handled in a flexible way, while retaining their essential structural aspects.

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U.S. Navy Phonetic Alphabets 1913 to present
Letter 1913 1927 1938 World War II 1957-Present Signal Flag
A Able Affirmative Afirm Afirm (Able) Alfa
 
B Boy Baker Baker Baker Bravo
 
C Cast Cast Cast Charlie Charlie
 
D Dog Dog Dog Dog Delta
 
E Easy Easy Easy Easy Echo
 
F Fox Fox Fox Fox Foxtrot
 
G George George George George Golf
 
H Have Hypo Hypo How Hotel
 
I Item Interrogatory Int Int (Item) India
 
J Jig Jig Jig Jig Juliet
 
K King King King King Kilo
 
L Love Love Love Love Lima
 
M Mike Mike Mike Mike Mike
 
N Nan Negative Negat Negat (Nan) November
 
O Oboe Option Option Option (Oboe) Oscar
 
P Pup Preparatory Prep Prep (Peter) Papa
 
Q Quack Quack Queen Queen Quebec
 
R Rush Roger Roger Roger Romeo
 
S Sail Sail Sail Sugar Sierra
 
T Tare Tare Tare Tare Tango
 
U Unit Unit Unit Uncle Uniform
 
V Vice Vice Victor Victor Victor
 
W Watch William William William Whiskey
 
X X-ray X-ray X-ray X-ray X-ray
 
Y Yoke Yoke Yoke Yoke Yankee
 
Z Zed Zed Zed Zebra Zulu
 

1916 SIGNAL BOOK

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A - ABLE B - BOY
C -CAST D - DOCK
E -EASY F - FOX
G -GEORGE H - HAVE
I - ITEM J - JIG
K - KING L - LOVE
M - MIKE N - NAN
O - OPAL P - PUP
Q - QUACK R - RUSH
S - SNAIL T - TARE
U - UNIT V - VICE
W - WATCH X - X-RAY
Y - YOKE Z - ZED

q.v. File:Seneca code instructions.agr.jpg


1939 BASIC FIELD MANUAL FM-24-5

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SIGNAL COMMUNICATIONS, 1939

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A - AFFIRM B - BAKER
C - CAST D - DOG
E - EASY F - FOX
G - GEORGE H - HYPO
I - INTER J - JIG
K - KING L - LOVE
M - MIKE N - NEGAT
O - OPTION P - PREP
Q - QUEEN R - ROGER
S - SAIL T - TARE
U - UNIT V- VICTOR
W - WILLIAM X - X-RAY
Y- YOKE Z- ZED

B&M 494 stereo pair

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Babylonian numbers

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Pi and sqrt(2) in Babylonian
           
           

Wikidata test

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Arnold Reinhold

Arnold Reinhold (Q61656169)

Finite St. Petersburg game Draft 250321

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The classical St. Petersburg game assumes that the casino or banker has infinite resources. This assumption has long been challenged as unrealistic.[4][5] Alexis Fontaine des Bertins pointed out in 1754 that the resources of any potential backer of the game are finite.[6][7] More importantly, the expected value of the game only grows logarithmically with the resources of the casino. As a result, the expected value of the game, even when played against a casino with the largest resources realistically conceivable, is quite modest. In 1777, Georges-Louis Leclerc, Comte de Buffon calculated that after 29 rounds of play there would not be enough money in the Kingdom of France to cover the bet.[8]

If the casino has finite resources, the game must end when there are no longer enough funds to cover the next play.[5] Suppose the total resources (or maximum jackpot) of the casino are W dollars (more generally, W is measured in units of half the game's initial stake). Then the maximum number of times the casino can play before it no longer can fully cover the next bet is L = floor(log2(W)).[9] Assuming the game ends when the casino can no longer cover the bet, the expected value E of the lottery then becomes:[10]

 

The following table shows the expected value E of the game with various potential bankers and their bankroll W:

Banker Bankroll Expected value
of one game
Friendly game $130 $7
Millionaire $1,050,000 $20
Billionaire $1,075,000,000 $30
Jeff Bezos (Jan. 2021)[11] $179,000,000,000 $37
U.S. GDP (2020)[12] $20.8 trillion $44
World GDP (2020)[12] $83.8 trillion $46
Billion-billionaire[13] $1018 $59

Note: Under rules that say if the player wins more than the bankroll they will be paid all the bank has, the additional expected value is less than it would be if the bank had enough funds to cover one more round, i.e. less than $1.

The premise of infinite resources produces a variety of apparent paradoxes in economics. In the martingale betting system, a gambler betting on a tossed coin doubles his bet after every loss so that an eventual win would cover all losses; this system fails with any finite bankroll. The gambler's ruin concept shows a persistent gambler will go broke, even if the game provides a positive expected value, and no betting system can avoid this inevitability.

References

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  1. ^ Herstein 1975, §2, p. 26
  2. ^ Hall 1967, §1.1, p. 1: "The idea of a group is one which pervades the whole of mathematics both pure and applied."
  3. ^ * Elwes, Richard, "An enormous theorem: the classification of finite simple groups," Plus Magazine, Issue 41, December 2006.
  4. ^ Peterson 2019, Section 3
  5. ^ a b Jeffery 1983, p.154, "Our rebuttal of the St. Petersburg paradox consists in the remark that anyone who offers to let the agent play the Saint Petersburg game is a liar for he is pretending to have an indefinitely large bank."
  6. ^ Fontaine 1764
  7. ^ cited in Dutka 1988, p. 31
  8. ^ Buffon 1777, cited in Dutka 1988, p. 31
  9. ^ Dutka 1988, p. 33 (Eq. 6-2)
  10. ^ Dutka 1988, p. 31 (Eq. 5-5)
  11. ^ Klebnikov, Sergei (Jan 11, 2021). "Elon Musk Falls To Second Richest Person In The World After His Fortune Drops Nearly $14 Billion In One Day". Forbes. Retrieved March 25, 2021.
  12. ^ a b The GDP data are as estimated for 2020 by the International Monetary Fund.
  13. ^ Jeffery 1983, p.155, noting that no banker could cover such a sum because "there is no that much money in the world."


Categories with Short Descriptions mockups

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Misc

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  • Émile Borel – French mathematician (1871–1956). <--annotated link

Vacuum tube notes

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While the history of mechanical aids to computation goes back centuries, if not millennia, the history of vacuum tube computers is confined to the middle of the 20th century. Lee De Forest invented the triode in 1906. The first example of using vacuum tubes for computation, the Atanasoff–Berry computer, was demonstrated in 1939. By the early 1960s vacuum tibe computers were obsolete, replaced by similar designs using transistors.

However, much of what we now consider part of digital computers evolved during the vacuum tube era. Initially, vacuum tube computers performed the same operations as earlier mechanical computers, only at much higher speeds. Gears and mechanical relays operate in milliseconds, whereas vacuum tubes can switch in microseconds. The first departure from what was possible prior to vacuum tubes was the incorporation of large memories that could store and randomly access, at high speeds, thousands of bits of data —there was no way to do this with mechanical designs. That, in turn, allowed the storage of machine instruction in the same memory as data —the stored program concept, a breakthrough which today is a hallmark of a digital computer. Other inventions included the use of magnetic tape to store large volumes of data in compact form, UNIVAC I and the Invention of random access secondary storage IBM RAMAC 305, the direct ancestor of all the hard disk drives we use today. Even computer graphics began during the vacuum tube era with the IBM 740 CRT Data Recorder.

Many programming originated in the vacuum tube era including we still used today such as Fortran, lisp, Algol Z22 and COBOL.

Daisy Bell computer speech synthesis by the IBM 704 in 1961, Core memory which was the mainstay of second generation computing was introduced in this era

Networking whirlwind fsq7 light pen interactive computer graphics

GM-NAA I/O

Antikythera Mechanism

[Text incorporated into Vacuum-tube computer Sept. 18, 2023]

LUCA

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Ref check Moody [1]

  1. ^ Moody, E.R.R.,; Álvarez-Carretero, S.; Mahendrarajah, T.A. (2024). "The nature of the last universal common ancestor and its impact on the early Earth system". Nat Ecol Evol. doi:10.1038/s41559-024-02461-1.{{cite journal}}: CS1 maint: extra punctuation (link) CS1 maint: multiple names: authors list (link)