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Health, 22.07.2019 02:20, greend0719

Why do you think that e/m coding differentiates new and existing patients

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Health, 02.08.2019 18:00, stricklandashley43

Why do you think that e/m coding differentiates new and existing patients?

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Computers and Technology, 09.10.2019 21:00, taheraitaldezign

The intensity of a stimulus can be determined within the central nervous system by (a) amplitude coding (size of action increases) (b) labeled line coding only (c) lateral inhibition (d) population coding and/or frequency coding (e) labeled line coding and/or frequency coding

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Biology, 14.11.2019 18:31, fish64

Note the coding effect of the mutation found in kindred group 2082. this results from a single base-pair substitution. choose the normal double-stranded sequence for this codon (with the and ends labeled) and the sequence after the mutation that resulted from an uncorrected mismatch event during dna replication. 5 ′ -cag(a)- 3 ′ coding 3 ′ -gtc(t)- 5 ′ template changed into 5 ′ -tga- 3 ′ coding 3 ′ -act- 5 ′ template 5 ′ -tac(t)- 3 ′ coding 3 ′ -atg(a)- 5 ′ template changed into 5 ′ -tag(a)- 3 ′ coding 3 ′ -atc(t)- 5 ′ template 5 ′ -tgg- 3 ′ coding 3 ′ -acc- 5 ′ template changed into 5 ′ -tga- 3 ′ coding 3 ′ -act- 5 ′ template 5 ′ -cag(a)- 3 ′ coding 3 ′ -gtc(t)- 5 ′ template changed into 5 ′ -tag(a)- 3 ′ coding 3 ′ -atc(t)- 5 ′ template

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Mathematics, 23.11.2019 17:31, NetherisIsTheQueen

Mark is conducting an experiment on how a new medicine can treat patients suffering from the flu. he has 3 groups of patients who are infected with the same flu strain, with 7 patients in each group. he gives the medicine to all of the patients in one group. the treated patients experienced an improvement in their symptoms, and the patients in the untreated groups have not. is there a sampling bias in the situation above? a. no, all 3 groups have the same number of patients who all suffer from the same flu strain. b. yes, the medicine may not work on the patients in the other two groups. c. yes, the patients in the other 2 groups have different strains of the flue than the treated patients. d. there is not enough information to determine if the sample is biased.

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