Critical Thinking Questions – Coursework Geeks

Use the following Case Scenario, Subjective Data, and Objective Data to answer the Critical Thinking Questions.Case ScenarioMrs. J. is a 63-year-old woman who has a history of hypertension, chronic heart failure, and sleep apnea. She has been smoking two packs of cigarettes a day for 40 years and has refused to quit. Three days ago, she had an onset of flu with fever, pharyngitis, and malaise. She has not taken her antihypertensive medications or her medications to control her heart failure for 4 days. Today, she has been admitted to the hospital ICU with acute decompensated heart failure.Subjective Data1. Is very anxious and asks whether she is going to die.2. Denies pain but says she feels like she cannot get enough air.3. Says her heart feels like it is “running away.”4. Reports that she is so exhausted she cannot eat or drink by herself.Objective Data1. Height 175 cm; Weight 95.5 kg2. Vital signs: T 37.6 C, HR 118 and irregular, RR 34, BP 90/583. Cardiovascular: Distant S1, S2, S3 present; PMI at sixth ICS and faint; all peripheral pulses are 1+; bilateral jugular vein distention; initial cardiac monitoring indicates a ventricular rate of 132 and atrial fibrillation4. Respiratory: Pulmonary crackles; decreased breath sounds right lower lobe; coughing frothy blood-tinged sputum; SpO2 82%5. Gastrointestinal: BS present: hepatomegaly 4 cm below costal marginCritical Thinking QuestionsWhat nursing interventions are appropriate for Mrs. J. at the time of her admission? Drug therapy is started for Mrs. J. to control her symptoms. What is the rationale for the administration of each of the following medications?1. IV furosemide (Lasix)2. Enalapril (Vasotec)3. Metoprolol (Lopressor)4. IV morphine sulphate (Morphine)Describe four cardiovascular conditions that may lead to heart failure and what can be done in the form of medical/nursing interventions to prevent the development of heart failure in each condition.Taking into consideration the fact that most mature adults take at least six prescription medications, discuss four nursing interventions that can help prevent problems caused by multiple drug interactions in older patients. Provide rationale for each of the interventions you recommend.
 
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assignment 2 medical insurance billing and coding

In order to complete module 2 even If you are unable to access interactive module video,

Please download insurance verification form, insurance card and insurance tracker. They are available in interactive module 1 and also available in important documents.

Please ignore the Medicare patients as their cards are not available.

In interactive Module you are only required to complete Activity.

Steps to complete Activity

Drag each patient file to appropriate insurance. Please use the insurance card for each patient to see the answer for the activity.

Steps to complete Assignment

Please complete the Insurance CLAIMform, using the Informationfrom the Insurance card and insurance verification form.

Please complete only the information which is provided in the verification form and Insurance card. Do not worry about the information which is not available.

 

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Perceptrons in MATLAB

For this coursework you will implement two types of Perceptrons in MATLAB and you will apply them to three datasets. You will create a function for training a Perceptron and another function for testing it on a set of test examples. You are given the following three datasets (to be downloaded from the course home page):

 

Breast Cancer Wisconsin (breast-cancer.train.txt and breast-cancer.test.txt) – a dataset consisting of 683 examples of described by 9 attributes based on a digitized image of a fine needle aspirate (FNA) of a breast mass. The aim is to learn to diagnose an image as benign (0) or malignant (1).

Iris (iris.train.txt and iris.test.txt) – a dataset consisting of 150 examples of iris plants described by their sepal length, sepal width, petal length and petal width. The aim is to learn to classify plants into the three types of iris plants: Iris Setosa (1), Iris Versicolour (2) and Iris Virginica (3).

Wine (wine.train.txt and wine.test.txt) – a dataset consisting of 178 examples of wines described by 13 attributes based on their chemical analysis. The wines were grown in the same region in Italy but derived from three different cultivars. The aim is to learn to determine the origin of a given wine (from the three different possibilities).

For each of the three datasets you will apply the suitable Perceptron and explore different possible settings: different parameters (learning rates and number of epochs), different (random) initial weights, and batch versus stochastic learning.

 

Deliverables:

Your code in electronic form – a zip file containing all files

A short report describing your code and your experiments on each dataset (including the performance of your Perceptrons with the different settings and any conclusions you can make based on your experiments).

 

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Business Model Reverse Engineering

Assessment Instructions (100p):

Business Model Reverse Engineering

Reverse engineering is the process of discovering the (technological) principles of a device, object or system through analysis of its structure, function and operation. B.K. Behera, 2011

The task is to analyze a business model case through the concepts and methods practiced in class. To do so, students will choose a case of an established company, research about its early beginnings, and discuss the changes applied to its business model over time.

The analysis must include:

A brief introduction (1 paragraph) that summarizes how the company started compared to how it is today.
A clear identification of the main and secondary changes of the business model (Canvas) over time.
A description of the problems/discoveries that may have prompted those changes.
A reflection on how design and design thinking methods may have facilitated this transformation.

Overall, the analysis should uncover the key components and assumptions of the given cases business model specifying the blocks of the canvas chosen to build their analysis. Students can support their findings with information/content found on the firm’s website as long as it is referenced and argued accordingly, however, this information might only be used to support the responses. The required word count is 1200 words (+- 10%), excluding references.

References like diagrams are optional but might help illustrate or support your analysis (Canvas before and after, etc.)

Assessment Criteria is on the screen shot

Learning outcomes:

Understand the concept of business models
Understand the purpose of its different components
Acquire a design thinking approach to product development and business strategy
Ability to identify the foundations of different business models