Questions
3. Which of the following statements is NOT an explanation for how oxygen is released from...

3.

Which of the following statements is NOT an explanation for how oxygen is released from oxy-haemoglobin.

Select one:

A.
Carbon dioxide has a stronger affinity than oxygen to heme, and displaces oxygen in tissues.

B.
Formation of carbonic acid lowers the oxygen affinity of haemoglobin in tissues.

C.
The structure of deoxyhemoglobin is stabilized by the interaction with BPG.

D.
Salt bridges are formed with N-terminal carbamates in deoxyhemoglobin.

E.
Salt bridges are formed between acidic and basic side chains of His146 and Asp94, respectively in deoxyhemoglobin .

4.

Which of the following description of hemoglobin S (HbS) forming fibrous aggregates is FALSE?

Select one:

A.
Valine at position 6 of the β chains form hydrophobic interaction with other HbS.

B.
Formation of aggregates occurs more severely in homozygotes, i.e. both alleles carrying the mutation.

C.
The aggregates distort the shape of the red blood cells.

D.
Formation of aggregates occurs only in deoxygenated form of HbS.

E.
More aggregates are formed in lungs.

In: Biology

"Ted Cruz calls for the gold standard" Reem Nasr, CNBC Wednesday, 28 Oct 20 15 I...

"Ted Cruz calls for the gold standard" Reem Nasr, CNBC Wednesday, 28 Oct 20 15 I think the Fed should get out of the business of trying to juice our economy and simply be focused on sound money and monetary stability, ideally tied to gold,' he said during the Republican presidential debate." Explain in terms of an economist the assumptions that underlie this policy position and the argument an economist would make to support this position (using appropriate graphs). Then, explain the argument an economist would make against this position

In: Economics

QS 16-27B Direct: Computing cash from operations LO P5 CRUZ, INC. Comparative Balance Sheets December 31,...

QS 16-27B Direct: Computing cash from operations LO P5

CRUZ, INC.
Comparative Balance Sheets
December 31, 2019
2019 2018
Assets
Cash $ 72,900 $ 18,100
Accounts receivable, net 31,300 38,400
Inventory 65,600 72,100
Prepaid expenses 4,000 3,300
Total current assets 173,800 131,900
Furniture 80,600 93,500
Accum. depreciation—Furniture (12,500 ) (7,100 )
Total assets $ 241,900 $ 218,300
Liabilities and Equity
Accounts payable $ 11,400 $ 16,100
Wages payable 6,800 3,800
Income taxes payable 1,200 2,100
Total current liabilities 19,400 22,000
Notes payable (long-term) 24,800 55,800
Total liabilities 44,200 77,800
Equity
Common stock, $5 par value 170,300 134,800
Retained earnings 27,400 5,700
Total liabilities and equity $ 241,900 $ 218,300

   

CRUZ, INC.
Income Statement
For Year Ended December 31, 2019
Sales $ 373,800
Cost of goods sold 240,600
Gross profit 133,200
Operating expenses
Depreciation expense $ 28,800
Other expenses 68,300 97,100
Income before taxes 36,100
Income taxes expense 13,100
Net income $ 23,000

  
Use the above balance sheet and income statement to prepare the operating activities section by direct method. Assume all the sales were made on credit basis. (Amounts to be deducted should be indicated with a minus sign.)
  

In: Accounting

Database Normalize the relations to BCNF: Member- (MemID, dateJoined, firstName, lastName, street, city, state, zip, areaCode,...

Database

Normalize the relations to BCNF:

Member- (MemID, dateJoined, firstName, lastName, street, city, state, zip, areaCode, phoneNumber, currentOfficeHeld)

Play- (title, author, numberOfActs, setChanges)

Sponsor- (sponID, name, street, city, state, zip, areaCode, phoneNumber)

Subscriber- (subID, firstName, lastName, street, city, state, zip, areaCode, phoneNumber)

Production- (prodyear, seasonStartDate, seasonEndDate, title)

Performance – (perfyear,perfdate, time, seasonStartDate)

TicketSale- (saleID, saleDate, totalAmount, perfyear, perfdate,subID)

DuesPayment- (MemID, duesYear, amount, datePaid)

Donation – (sponID, donationDate, donationType, donationValue, prodYear, seasonStartDate)

Ticket- (saleID, seatLocation, price, type)

Member - Production-(MemID, prodYear, seasonStartDate, role, task)

In: Computer Science

Create a PHP class named "User" with the following private fields: name, birthdate in yyyy/mm/dd format,...

Create a PHP class named "User" with the following private fields:

name,

birthdate in yyyy/mm/dd format,

age, and

department.

In the class, include getter and setter methods to get and set the values of those variables.

Author a data entry webform using HTML text input boxes and a submit button. When the user clicks on the submit button, a "User" class is instantiated and the new User object's fields are populated. The HTML input boxes correspond to the field in the "User" class.

Add an "Insert" button that allows the user to insert the form data to a MySQL table.

Add a "Display" button the displays the contents of your MySQL table on the web form when the end-user clicks on the button.

In: Computer Science

Nina is looking to analyze the distribution of the variable X=’grading. She gathered information from 1900...

Nina is looking to analyze the distribution of the variable X=’grading. She gathered information from 1900 to 2000, and her data concludes X follows a normal distribution with mean 75 and variance 30.

  1. What is the probability that a typical student from the current cohort enrolled receive a grade above 80?
  2. Between what values will the grades of the 95% of all students in the current cohort fall?
  3. Find the value that represents the 25th and 75th percentile of this distribution. Then, find the interquartile range. Can a student who got 45 be considered a potential outlier, explain the reasoning.

PLEASE SHOW EACH STEP AND EXPLAIN EACH STEP AS TO WHERE YOU ARE GETTING VALUES FROM (i.e., if you got value from z table, tell me why you use that table and where exactly). use mathematical formula as well as give me a reason why you used what formula you used.

In: Statistics and Probability

The Cambridge Study of delinquent development was undertaken in N. London to investigate the links between...

The Cambridge Study of delinquent development was undertaken in N. London to investigate the links between criminal behavior in young men and socioeconomic factors of the upbringing. A cohort of 395 boys was followed for about 20 years starting at the age of 8 or 9. All boys attended 6 schools located near the research office.

The table below provides the following summary statistics relating family income and convictions.

Income level

Inadequate

adequate

Comfortable or higher

No convictions

47

128

90

Convicted

43

57

30

  • Can we consider the cohort of these boys to be a random sample of a certain portion of the male youth of UK?
  • What is the necessary assumption that needs to be made about the income group assignment of these boys for the duration of the study?
  • Identify the random variables of the data set. What is the type of these variables?
  • Construct the appropriate plot of these data.
  • Do the two random variables seem to have an association? Which one can be used as explanatory?           

In: Statistics and Probability

The Cambridge Study of delinquent development was undertaken in N. London to investigate the links between...

The Cambridge Study of delinquent development was undertaken in N. London to investigate the links between criminal behavior in young men and socioeconomic factors of the upbringing. A cohort of 395 boys was followed for about 20 years starting at the age of 8 or 9. All boys attended 6 schools located near the research office.

The table below provides the following summary statistics relating family income and convictions.

Income level

Inadequate

adequate

Comfortable or higher

No convictions

47

128

90

Convicted

43

57

30

  • Can we consider the cohort of these boys to be a random sample of a certain portion of the male youth of UK?
  • What is the necessary assumption that needs to be made about the income group assignment of these boys for the duration of the study?
  • Identify the random variables of the data set. What is the type of these variables?
  • Construct the appropriate plot of these data.
  • Do the two random variables seem to have an association? Which one can be used as explanatory?  

In: Statistics and Probability

Describe why a coastal location, like Santa Monica or San Diego, has a more moderate climate...

Describe why a coastal location, like Santa Monica or San Diego, has a more moderate climate throughout the year than an inland location like Little Rock, AR or Dallas, TX? Provide 4 main reasons.

In: Other

Los Angeles County is located closest among the three to a major earthquake fault line. Are homeowners in Los Angeles County more likely to purchase earthquake insurance than those in San Bernardino County?


California insurance companies wanted to study factors (e.g., the proximity to a major earthquake fault line) that may influence homeowners’ decisions to purchase earthquake insurance. Surveys were mailed to randomly selected households in three California counties to investigate the possible proximity effect. The data collected are shown below:

Sample size

1000- Los Angeles

1200- San Barnadino

1400-Santa Clara

Numbers with earthquake insurance

377-Los Angekes

469-San Bernadino

390-Santa Clara

1. Los Angeles County is located closest among the three to a major earthquake fault line. Are homeowners in Los Angeles County more likely to purchase earthquake insurance than those in San Bernardino County? Test using α = 0.05.

In: Statistics and Probability