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A linear polymer has several chiral centers with random Rand S configurations. This is an example...
Specify the configurations (R or S) of chiral centers a and b in the chem3D structure below. Specify the configurations (R ar S) of chiral centers a and b in the chem3D structure below.
This molecule has several chiral centers labeled. Indicate the R/S configuration for the center labeled B. HN NH OR os This molecule has several chiral centers labeled. Indicate the R/S configuration for the center labeled B. H3 CH3 НО СН3 НЕ ОН IIIty .(с NH2 ОН. ОН о ОН о
The following compound has stereogenic centers at c-3 and c-s. Assign the configurations for C.3 and 2.5 for the enantiomer of the following compound. OH
Example: The linear polymer 6,6-nylon is to be produced by combining of hexamethylene diamine [NH2-(CH2)6 NH2l with adipic acid. Calculate the degree of polymerization if the product has a molecular weight of 120,000 g/mol. O HH H H O но-с-с-с-с-с-с-он adipic acid
3. Consider the following Matlab code. s-0; clear s.norm for i 1:10000 r-rand(1); % generate a uniform random, number on [0,1] S-S+(3+rr) s.norm(i)-S/i end plot( 1:10000,s.norm) % make a plot of s.norma) versus i (5 pts) What will the plot look like? (10 pts) Will the function/vector s.norm(n) converge to something as n gets large? If so, what? If not, why not? Justify your answer. (5 pts) If we were to run this code multiple times - overlaying the plots...
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1. Write linear electron configurations for the following: a. Co__225 2352 345 2. b. Sn°227.3.230645 201104ple 5s 5 d'° Spal c. Rb_s"25k 20133239645230104.455 d. Sg. 23,045 2.d4 155440445ples? 5d05f14cplo 752 lods e. As3-Aras 3d 4p3 2.Write the orbital box diagram for arsenic and sulfur As (Arsenic) S (sulfur IN N N 3p D3 35 N N TN2p Pe 25 Nas 3. Write the inert-gas core diagrams for: a. Hg+2 x 145'4 5d tesố b. S-2 (Ne]352304 c. Eu...
1. Consider a GLM (generalised linear model) for a Poisson random sample Y1,. .. , Y, with \Vi each Yi having a pdf or pmf f(y; A;) = i= 1, . .. ,n. Yi = 0, 1,2, -..; ^; > 0; Y;! Note that the pdf from an exponential family has the following general form b(0) + c(y, a(o) y0 exp f(y; 0, 6) = Suppose the linear predictor of the GLM is n = a+Bxi, with (a,B) being the...
Exercise 12.2 In Example 12.1b, find the optimal strategy and the op- timal value when the urn contains three red and four blue balls S. Example 12.1b An urn initially has n red and m blue balls. At each stage the player may randomly choose a ball from the urn; if the ball is red, then 1 is earned, and if it is blue, then 1 is lost. The chosen ball is discarded. At any time the player can decide...
Over the past several months, an adult patient has been
treated for tetany (severe muscle spasms). This condition is
associated with an average total calcium level below 6 mg/dl.
Recently, the patient's total calcium tests gave the following
readings (in mg/dl). Assume that the population of x values has an
approximately normal distribution.
9.9 8.8 10.9 9.3 9.4 9.8 10.0 9.9 11.2 12.1
(a) Use a calculator with mean and sample standard deviation
keys to find the sample mean reading...
K-means clustering K-means clustering is a very well-known method of clustering unlabeled data. The simplicity of the process made it popular to data analysts. The task is to form clusters of similar data objects (points, properties etc.). When the dataset given is unlabeled, we try to make some conclusion about the data by forming clusters. Now, the number of clusters can be pre-determined and number of points can have any range. The main idea behind the process is finding nearest...