What is the answer to this?

(1) A President of a California State University campus banned any criticism to human rights in Palestine ,,, Professors and students have been banned from exposing Zionist crimes in Palestine. Professors and students went to court to complain about illegality of such a decision. Their lawyer is soliciting your advise to show that President of University has failed as a leader –administratively.

and then this question...

(2) MoH (Ministry of Health) hired you as a consultant for Health Management in Ministry. Based on your managerial experience, what would be your recommendations to health system in State of Kuwait?

You are studying a strain of Streptococcus pyogenes that has acquired a brand new gene from horizontal gene transfer, which seems to give it resistance to chloramphenicol. Hypothesize two mechanisms by which the new gene could be conferring resistance to chloramphenicol in S. pyogenes.

1. Acquired immunity that a fetus obtains from maternal antibodies that cross the placenta is called:

1. Artificially acquired natural immunity.
2. Naturally acquired passive immunity.
3. Naturally acquired active immunity.
4. Artificially acquired active immunity.

2. Which of the following are roles of the lymphatic system?

1. Filtering, recycling, and producing lymph.
2. Collecting surplus fluids.
3. Absorbing fat-soluble molecules from the digestive tract.
4. All of the above.

3. Which of the following cells plays a role in both specific and non-specific defenses?

1. Neutrophils
2. Lymphocytes
3. Macrophages
4. Eosinophils

4. What are the small proteins that are secreted by virally infected cells that protect neighboring cells and thwart further multiplication of viruses?

1. Interferon
2. Interleukins
3. Heparin
4. Histamine

QUESTION 5

Which of the following cells is a phagocyte?

1. Neutrophils
2. Monocytes
3. Eosinophils
4. All of the above.

QUESTION 6

Phagocytosis refers to which immune system response?

1. Decreased synthesis and distribution of immunoglobulin E.
2. Increased synthesis and distribution of immunoglobulin E.
3. Engulfment of any fluid materials.
4. Engulfment of molecular materials.

QUESTION 7

Which of the following is NOT true regarding lymphatic capillaries?

1. Lymphatic capillaries are the smallest lymphatic vessels.
2. Lymphatic capillaries are dead-end vessels.
3. Lymphatic capillaries are less porous than blood capillaries.
4. Lymphatic capillaries are more porous than blood capillaries.

QUESTION 8

Lymph flows:

1. Away from the heart only.
2. In a circular pattern within the tissues.
3. Into the capillaries.
4. Toward the heart only.

QUESTION 9

Which of the following is NOT an organ of the immune system?

1. Thymus
2. Spleen
3. Lymph Nodes
4. Esophagus

QUESTION 10

What is the purpose of a cytokine?

1. Digest pathogens
2. Engulf pathogens.
3. Increase body temperature.
4. Recruit immune cells.

QUESTION 11

The lining of the gastrointestinal tract are an example of what type of immune system defense?

1. Non-Specific
2. Pre-Determined
3. Specific
4. Spontaneous

QUESTION 12

Where are immune cells synthesized?

1. The liver.
2. The spleen.
3. The bone marrow.
4. The pancreas.

QUESTION 13

What are the proteins released by leukocytes to recruit other immune cells and regulate the immune response?

1. Interferon
2. Interleukins
3. Cytokines
4. Lymph

QUESTION 14

Specialized lymphatic capillaries that project into the small intestines are called:

1. Chyle
2. Lacteals
3. Lymphatic Trunks
4. Collecting Vessels

QUESTION 15

Which of the following is not a splenic function?

1. Destroy old blood cells.
2. Produce new blood cells.
3. Monitor blood flow.
4. Filter blood cells.

Complete a Statement of Stockholders Equity

1. Acquired cash of $225,000 from the issue of common stock.

2. Borrowed $175,000 cash from the bank on April 1, 2018.

3. Paid $285,000 cash to purchase fixed assets - land that cost $65,000

   and a building that cost $220,000.

4. Earned and recognized consulting revenue on account for $345,000

5. Collected $200,000 on the accounts receivable during the year

6. Incurred $150,000 of consulting expenses on account during the year.

7. Paid $125,000 on the accounts payable during the year.

8. Paid $92,500 cash for other operating expenses during the year.

9. Paid the company owners $5,300 of dividends.

10. Received $21,750 cash for services to be performed in the future.

11. On June 1, paid $10,500 cash in advance for a one-year lease to rent office space.

12. Paid $9,450 cash for salaries expense.

Information for December 31, 2018

ADJUSTING ENTRIES:

13. Completed $11,350 of services performed described in Transaction 10.

14. Adjust Prepaid Rent account for rent used up during the year. (7

    months)

15. Use the straight-line method to depreciate the building purchased in

    Transaction 3. Management estimated that it had a useful life of 20

    years. Record the building depreciation.

16. Recognized that $3,647 of Salary Expense has been incurred on

    December 31. The employees are owed this for the services they provided in December but will not be paid to them until January. Record the year end accrual for salary expense.

17. Accrued interest expense for loan in # 2. Terms: interest rate 10%, in one year. (Loan was outstanding 9 months during 2018).

The file banking.txt attached to this assignment provides data acquired from banking and census records
for different zip codes in the bank’s current market. Such information can be useful in targeting
advertising for new customers or for choosing locations for branch offices. The data show
- median age of the population (AGE)
- median income (INCOME) in $
- average bank balance (BALANCE) in $
- median years of education (EDUCATION)
Use r

Use R to fit a regression model to predict balance from age, education and income. Analyze the
model parameters. Which predictors have a significant effect on balance? Use the t-tests on the
parameters for alpha=.05. [2 pts = 1 pt R code + 1 pt answer]
f) If one of the predictors is not significant, remove it from the model and refit the new regression
model. Write the expression of the fitted regression model. [2 pts = 1 pt R code + 1 pt answer]
g) Interpret the value of the parameters for the variables in the model. [1 pt]
h) Report the value for the R2
coefficient and describe what it indicates. [1 pt]
i) According to census data, the population for a certain zip code area has median age equal to 34.8
years, median education equal to 12.5 years and median income equal to $42,401.
- Use the final model computed in point (f) to compute the predicted average balance for the zip
code area. [1 pt]
- If the observed average balance for the zip code area is $21,572, what’s the model prediction
error? [1 pt]
j) Conduct a global F-test for overall model adequacy. Write down the test hypotheses and test statistic
and discuss conclusions.

Age        Education            Income Balance

35.9        14.8        91033    38517

37.7        13.8        86748    40618

36.8        13.8        72245    35206

35.3        13.2        70639    33434

35.3        13.2        64879    28162

34.8        13.7        75591    36708

39.3        14.4        80615    38766

36.6        13.9        76507    34811

35.7        16.1        107935 41032

40.5        15.1        82557    41742

37.9        14.2        58294    29950

43.1        15.8        88041    51107

37.7        12.9        64597    34936

36           13.1        64894    32387

40.4        16.1        61091    32150

33.8        13.6        76771    37996

36.4        13.5        55609    24672

37.7        12.8        74091    37603

36.2        12.9        53713    26785

39.1        12.7        60262    32576

39.4        16.1        111548 56569

36.1        12.8        48600    26144

35.3        12.7        51419    24558

37.5        12.8        51182    23584

34.4        12.8        60753    26773

33.7        13.8        64601    27877

40.4        13.2        62164    28507

38.9        12.7        46607    27096

34.3        12.7        61446    28018

38.7        12.8        62024    31283

33.4        12.6        54986    24671

35           12.7        48182    25280

38.1        12.7        47388    24890

34.9        12.5        55273    26114

36.1        12.9        53892    27570

32.7        12.6        47923    20826

37.1        12.5        46176    23858

23.5        13.6        33088    20834

38           13.6        53890    26542

33.6        12.7        57390    27396

41.7        13           48439    31054

36.6        14.1        56803    29198

34.9        12.4        52392    24650

36.7        12.8        48631    23610

38.4        12.5        52500    29706

34.8        12.5        42401    21572

33.6        12.7        64792    32677

37           14.1        59842    29347

34.4        12.7        65625    29127

37.2        12.5        54044    27753

35.7        12.6        39707    21345

37.8        12.9        45286    28174

35.6        12.8        37784    19125

35.7        12.4        52284    29763

34.3        12.4        42944    22275

39.8        13.4        46036    27005

36.2        12.3        50357    24076

35.1        12.3        45521    23293

35.6        16.1        30418    16854

40.7        12.7        52500    28867

33.5        12.5        41795    21556

37.5        12.5        66667    31758

37.6        12.9        38596    17939

39.1        12.6        44286    22579

33.1        12.2        37287    19343

36.4        12.9        38184    21534

37.3        12.5        47119    22357

38.7        13.6        44520    25276

36.9        12.7        52838    23077

32.7        12.3        34688    20082

36.1        12.4        31770    15912

39.5        12.8        32994    21145

36.5        12.3        33891    18340

32.9        12.4        37813    19196

29.9        12.3        46528    21798

32.1        12.3        30319    13677

36.1        13.3        36492    20572

35.9        12.4        51818    26242

32.7        12.2        35625    17077

37.2        12.6        36789    20020

38.8        12.3        42750    25385

37.5        13           30412    20463

36.4        12.5        37083    21670

42.4        12.6        31563    15961

19.5        16.1        15395    5956

30.5        12.8        21433    11380

33.2        12.3        31250    18959

36.7        12.5        31344    16100

32.4        12.6        29733    14620

36.5        12.4        41607    22340

33.9        12.1        32813    26405

29.6        12.1        29375    13693

37.5        11.1        34896    20586

34           12.6        20578    14095

28.7        12.1        32574    14393

36.1        12.2        30589    16352

30.6        12.3        26565    17410

22.8        12.3        16590    10436

30.3        12.2        9354       9904

22           12           14115    9071

30.8        11.9        17992    10679

35.1        11           7741       6207

The Lewisham Hospital NHS Trust comprises University Hospital Lewisham, The Children’s Hospital Lewisham and Dunoran Home (a residential nursing home in Bromley). The Trust manages approximately 650 beds and currently employs around 2,500 staff.
The Data Quality Challenge
The south-east London hospitals were seen as having problems with fragmented patient records, particularly the difficulty of identifying whether a record existed for a newly-admitted patient. When patients were admitted to hospital, they were not always correctly identified as having an existing medical record, often due to a change of name or address; sometimes the patient’s state of health made it difficult to get accurate details and sometimes it is simply a case of a clerical error in not finding the patient on the system.
New records were then opened for them and their previous history lost to their clinical team. With approximately 150 ‘new patient’ registrations each day to be compared against the 930,000 existing records in the Lewisham Hospital NHS Trust database, the search for duplicate records was a time-consuming manual task, taking more than half a day. At one stage there was a six month backlog.
As Terry Walton, IT Manager at Lewisham Hospital, points out, “This is not just about meeting government targets and overcoming fragmented patient records. There is a clinical risk if a newly-admitted patient is not identified as having an existing record with us.”
Having clean, high integrity patient data is also an essential requirement for connecting to the Connecting for Health Local Service provider. In his quest to achieve a single patient view, Terry applied for funding from Connecting for Health. He organised a joint procurement for
©Al Tareeqah Management Studies - 2020 5
the Lewisham Hospital NHS Trust, Kings College Hospital NHS Trust and the South London and Maudesley NHS Trust.
Questions:
1. What in your understanding are the issues that Lewisham Hospital faces ?
2. What are the dangers to fragmented patient records for Hospitals providing healthcare? 3. What would be your suggestions to Lewisham hospitals as a HCIS consultant to maintain their
patient records safe?

Famous Failures in Finance: Shady Trading at Enron Before it was known for its financial problems, Enron, a utility firm operating pipelines and shipping natural gas, had become famous as a business pioneer, blazing new trails in the market for trading risk. In the 1980s the price of natural gas was deregulated, which meant that its price could go down and up, exposing producers and consumers to risks. Enron decided to exploit new opportunities in the commodities business by trading natural gas futures. The natural gas futures that traded on the New York Mercantile Exchange did not take into account regional discrepancies in gas prices. Enron filled this void by agreeing to deliver natural gas to any location in the United States at any time. In addition to trading natural gas and other energy contracts, in the late 1990s Enron began trading weather derivatives for which no underlying commodities existed. These were just bets on the weather. Its weather-derivatives transactions were worth an estimated $3.5 billion in the United States alone. Thanks to its near-monopoly position in derivatives products, Enron’s trading business was initially highly profitable. At one point, the company offered more than 1,800 different contracts for 16 product categories, ranging from oil and natural gas to weather derivatives, broadband services, and emissions rights, and it earned 90% of its revenues from trading derivatives. And unlike traditional commodity and futures exchanges and brokers, Enron’s online commodity and derivative business was not subject to federal regulations. However, Enron eventually lost its unique position as the energy business started to mature. When other firms entered the online derivatives-trading business, they competed by charging lower commissions and exploiting the same regional price discrepancies that had been Enron’s bread and butter. Enron’s trading operations became less profitable. To find new markets and products, the company expanded into areas such as water, foreign power sources, telecommunications, and broadband services. The farther it moved from its core businesses of supplying gas, the more money Enron lost. The company sought to hide those losses by entering into more risky and bizarre financial contracts. When financial institutions began to realize that Enron was essentially a shell game, they withdrew their credit. At that point, despite rosy assurances from its founder and CEO Ken Lay, Enron went into a death spiral that ended in bankruptcy on December 2, 2001. In July 2004 Lay was indicted on 11 counts of securities fraud and related charges. He was found guilty on May 25, 2006, of all but one of the counts. Each count carried a maximum 5- to 10-year sentence and legal experts said Lay could face 20 to 30 years in prison. However, about three and a half months before his scheduled sentencing, Ken Lay died on July 5, 2006, while vacationing in Snowmass, Colorado. On October 17, 2006, as a result of his death, the federal district court judge who presided over the case vacated Lay’s conviction.

Please answer the questions.

Critical Thinking Questions: Could the Enron debacle have been prevented? If so, what actions should have been taken by auditors, regulators, and lawmakers? Please respond to the above questions.

Bogart is a listed company that reports using IFRS and has a reporting date of 30 September 2020. Bogart purchased 18% of Lupin’s 100 million $1 ordinary shares for $43 million cash on 1 October 2018, gaining significant influence. Lupin had retained earnings of $85 million and no other components of equity, on the date of purchase.

The investment in Lupin was accounted for correctly in Bogart’s individual financial statements for the year ended 30 September 2019, when Lupin had retained earnings of $150 million and no other components of equity.

Bogart acquired control over Lupin on 1 October 2019, purchasing a further 67% of its ordinary shares. Cash consideration of $160 million was correctly included in calculating goodwill. Purchase consideration included 3 million of Bogart’s own $1 ordinary shares, with a fair value of $1.40 each. No accounting entries were posted for this share consideration.

Bogart derecognised the carrying amount of the existing 18% holding in Lupin and included it in calculating the goodwill of the business combination. The carrying amount of the net assets of Lupin was also used in calculating goodwill. The fair value of the existing 18% holding was $73 million at 1 October 2019 and the fair value of the identifiable net assets of Lupin was $285 million. The excess of the fair value of net assets over the carrying amount was due to equipment with a remaining useful life of ten years. The fair value of the non-controlling interest in Lupin on 1 October 2019 was $63.8 million and was included in calculating goodwill.

On 30 September 2020, Bogart purchased an additional 5% of the ordinary shares of Lupin. The consideration transferred for these additional shares was $19 million cash, which was expensed to the consolidated statement of profit or loss. On 30 September 2020, Lupin had retained earnings of $185 million and no other components of equity

Required:

Discuss the correct recognition and measurement of this business combination in the consolidated financial statements of Bogart, showing calculations. Explain any accounting errors made and show the accounting entries required to correct those errors.

My teacher barely speaks English so your guess is as good as mine what he means. Also, this is all of the data that he gave the class and I have nothing else to share. Please don't tell me the information is misleading and or filled with typos, etc. I copied and paste what is being asked of us and that is why I am here, to get help. Please use the information that is provided to either help solve it or show me how and where the math won't work. Thank you.

Firm 3302 (name of firm)

2020. Dividends =3.23. risk free rate= 5.3%. market return = 4%. beta = 1.12

2020 Dividends =3.65. risk free rate= 6.3% market return =3.5% beta =1.22

2022. Dividends = 4.01 risk free rate= 5.2%   market return = 4.2%. beta =1.02

2023 Dividends = 3.58 risk free rate= 4.2% market return =3% market return =1.32

2024 Dividends =2.01 risk free rate=3.9% market return =2% market return =1.25

  This is our firm which is called 3302-firm expected dividend distribution table, we have many professional backups. Hence, based on us professional backups forecast, we 100% know that our dividend growth rate will be increasing in same rate after the last day of 2024. As we all know, between 2024 and infinite, we also learn that the ROE is 4% and reinvestment rate is 10%. The risk-free rate constantly equal to 4% and the market return constantly equals to 5%. Beta = 1.1. These number won’t change in the future. As we all know, between 2020 and 2024, we also learn that the ROE is 10.2% and reinvestment rate is 35%. All the numbers are listed on the table above. Question: Please find out 3302-firm’s intrinsic value today.

Kremlin Spirits Pty Ltd (Kremlin) operates a business from premises it owns in Brisbane importing premium quality vodka. Its directors are Vasili and Svetlana (his niece). Kremlin has three shareholders: Vasili, Svetlana and Mikhail. Mikhail has lent considerable amounts of money to Kremlin over the years. Vasili controls the company’s business activities, while Svetlana does not concern herself with the day-to-day management of Kremlin’s business so that she does not really understand the business or its finances. Svetlana is currently undertaking a Bachelor of Commerce on a part-time basis and Vasili has told her that he would like her to take over the accounting side of the business when she finishes her degree in 2021. Due to the popularity of Australian wines, the vodka business falls into a slump. By early March 2020, Vasili is selectively paying trade creditors of Kremlin, having insufficient funds to pay all debts as they fall due. To prop up the company’s fortunes, however, Vasili arranges for the company to obtain a loan of $30,000 from an old friend to spend on advertising in April 2020. Despite the advertising campaign, a liquidator was appointed to wind up the company in June 2020.

Advise the liquidator in respect of the following matters under the Australian Corporations Act 2001 Cth:

(a) Whether there is any basis for recovering funds from the directors personally? If so, are there any defences that Vasili and/or Svetlana can rely on?

(b) In January 2020, Mikhail demanded that Kremlin should repay him some of the money it owed him. Vasili and Svetlana decided that Kremlin should pay half of the debt back to Mikhail.

(c) When Kremlin was established, it borrowed $100,000 from Large Bank. The loan was secured by a non-circulating security interest over the company’s premises and a circulating security interest over its assets and undertaking. Vasili and Svetlana also provided personal guarantees to the bank. When the circulating security interest was granted, neither Kremlin nor the Bank registered it on the Personal Property Securities (PPS) register. The necessary forms were provided to the bank, but a clerk at the bank lost the forms before they could be lodged.