Cardiovascular

 
Mr. W.G. is a 53-year-old white man who began to experience chest discomfort while playing tennis with a friend. At first, he attributed his discomfort to the heat and had a large breakfast. Gradually, however, discomfort intensified to a crushing sensation in the sternal area and the pain seemed to spread upward into his neck and lower jaw. The nature of the pain did not seem to change with deep breathing. When Mr. G. complained of feeling nauseated and began rubbing his chest, his tennis partner was concerned that his friend was having a heart attack and called 911 on his cell phone. The patient was transported to the ED of the nearest hospital and arrived within 30 minutes of the onset of chest pain. En route to the hospital, the patient was placed on a nasal cannula and an IV D5W was started. Mr. G. received aspirin (325 mg PO) and 2 mg/IV morphine. He is allergic to meperidine (rash). His pain has eased slightly in the last 15 minutes but is still significant; was 9/10 in severity; now7/10. In the ED, chest pain was not relieved by 3 SL NTG tablets. He denies chills.
Case Study 2 Questions:
For patients at risk of developing coronary artery disease and patients diagnosed with acute myocardial infarction, describe the modifiable and non-modifiable risk factors.
What would you expect to see on Mr. W.G. EKG and which findings described in the case are compatible with the acute coronary event?
Having only the opportunity to choose one laboratory test to confirm the acute myocardial infarction, which would be the most specific laboratory test you would choose and why?
How do you explain that Mr. W.G’s temperature has increased after his Myocardial Infarction, when can that be observed, and for how long? Base your answer on the pathophysiology of the event.
Explain to Mr. W.G. why he was experiencing pain during his Myocardial Infarction. Elaborate and support your answer.
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Time series are particularly useful to track variables such as revenues

 
 
Time series are particularly useful to track variables such as revenues, costs, and profits over time. Time series models help evaluate performance and make predictions. Consider the following and respond in a minimum of 175 words:
Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T), cycle (C), seasonal (S), and irregular (I). What is the difference between these components?
The model can be additive or multiplicative. When we do use an additive model? When do we use a multiplicative model?
The following list gives the gross federal debt(in millions of dollars) for the U.S. every 5 years from 1945 to 2000:
Year Gross Federal Debt ($millions)
1945 260,123
1950 256,853
1955 274,366
1960 290,525
1965 322,318
1970 380,921
1975 541,925
1980 909,050
1985 1,817,521
1990 3,206,564
1995 4,921,005
2000 5,686,338
Construct a scatter plot with this data. Do you observe a trend? If so, what type of trend do you observe?
Use Excel to fit a linear trend and an exponential trend into the data. Display the models and their respective r^2.
Interpret both models. Which model seems to be more appropriate? Why?
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Primary Care NP Role vs. APN Roles

Compare the primary care NP role with other APN roles. What are the similarities among the roles, what are the differences, and how would you communicate the role to a healthcare provider and a consumer?
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Application for U.S. Department of Homeland Security

 
Scenario
Your team has been tasked with delivering a Section 508-validated application for U.S. Department of Homeland Security field officers to check potential immigrants for connections to criminal or terrorist behavior. This application must meet these requirements:
Conform with Section-508 accessibility guidelines.
Allow wireless real-time bidirectional data transfer and database queries with secure servers.
Have a secure login and, after two minutes of non-use, have autolocking that reactivates a secure login.
Allow for officers working on any day and at any time in offices, from vehicles, and on foot along the U.S. border and in cities across the country.
Overview
The first step in delivering the app specified in the scenario is to define what users of the app need and expect in order to create a positive user experience. You will do this by writing a proposal for your company’s IT executive.
Instructions
Write a 2–4 page proposal for your company’s IT executive that defines user applicability and needs. In your proposal, include the following:
Craft an executive summary that states the purpose of the proposal, as well as a conclusion paragraph that ties everything together.
Define the operating environments to include users and supported platforms. Explain your rationale.
For users, include who the users will be and the environments they will be working in.
For supported platforms, include the types of devices and interfaces required by the specifications for the app.
Define who you will sample to determine any specific user needs and the method you will use to collect data from these users. Explain why you chose this sample and method.
Outline the necessary criteria you will use for collecting and analyzing user data. For example, if you are using a survey or interview, what questions would you ask? Be sure to address user experience and needs, including specific design attributes that would reduce user frustration with your application.
Identify at least two applicable statistical tests you could use to evaluate the data you collected from users. Justify your choice of these tests, and explain how you will interpret them.
Incorporate a minimum of three credible and relevant resources to support your proposal. You may wish to begin your search by checking out the CIS – Computer Information Systems page in the Strayer Library for a list of guides and databases.
Your writing should be professional and free of grammar, punctuation, and spelling errors.
This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. The specific course learning outcome associated with this assignment is:
Determine methods of collecting and analyzing data in interaction design activities.
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