A 60 year old African American woman with metastatic ovarian cancer is experiencing chronic pain. he

A 60 year old African American woman with metastatic ovarian cancer is experiencing chronic pain. her pain ratings have been between 3 and 8 on the 0-1- verbal pain scale. Her vital signs remain within normal ranges. She is fully able to participate in her daily care. She describes herself as the matriarch of her family, and looks forward to daily visits from her family even when her pain rating is high. Her church pastor calls and visits her several times per week. She anticipates discharge in a few days.
Initial Discussion post:
1. Identify and state a priority nursing diagnosis for yours assigned patient related to pain.
2. Develop and state three(3) nursing interventions for this nursing diagnosis or patient problem. When planning individualized nursing intervention consider the patients type of pain and cultural perspective.
3. Provide your rationale or reasoning for each intervention chosen.
Please use this text book as reference:
hinkle, J & Cheever, k 2014 brunner and suddarths textbook of medical surgical nursing 13 ed. treas, l. wilkinson 2014. Basic nursing: concepts, skills and dreasoning. plus any nursing diagnosis guidebook. plus any other textbook you see fit. thank you in advance.

 

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A cylindrical pressure vessel is fabricated from steel plating that has a thickness of 20mm….

Question No. 1 (CLO-2) .

(a) A cylindrical pressure vessel is fabricated from steel plating that has a thickness of 20mm.

The diameter of the pressure vessel is 450mm and length of is 2m. Apply theory of mechanics

of solids for thin/thick cylinders to calculate maximum internal pressure that can be applied if

the longitudinal stress limited to 140 MPa and the circumferential stress is limited to 60MPa.

(b) A hoop shrunk onto a hollow tube exerts a contact pressure of 3000psi on the tube. An

internal pressure of 10ksi is then applied to the tube. The inner and outer radii of the tube are

1.5in and 1.5in, 2.5in and 4.0in for the hoop. What is the maximum tangential stress in the

tube (a) before and (b) after the internal pressure is applied? (c) If the 3000psi pressure is the

only pressure acting on the hoop, what is the maximum stress in the hoop?

Question No. 2 (CLO-3) .

a) A W14x90 section is to be used as a column with a length of 30ft. The column supports an

axial load of 65kips and an eccentric load 90kips acting on the y-axis. Analyse the given

column using the “maximum stress method” and “AISC specifications” to determine the

maximum eccentricity of 90kips load. Use ?y=50ksi and E = 29 x10^6 psi.

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Problems 1.) 1. Jimi, Inc., is preparing its master budget for the quarter ended December 31. It sel

Problems 1.) 1. Jimi, Inc., is preparing its master budget for the quarter ended December 31. It sells a single product for $

Problems 1.) 1. Jimi, Inc., is preparing its master budget for the quarter ended December 31. It sells a single product for $55 each. Seventy percent of all sales are on credit. Cash is paid for the remaining sales. All credit sales are collected in the month following the sale. The balance in accounts receivable is $12,000 on September 30, which represents the uncollected balance on September's sales. Budgeted sales for the next four months follow: Oct. Nov Dec Jan Sales Units 980 850 1190 The unit cost is $30. The company prefers September's inventory is 480 units. Jimi, Inc. pay for 60 % of the current month's purchases and 40 % in the following month. The A/P balance on September 30 is $9,800, which represents unpaid purchases. Monthly operating expenses: ending inventory is 55% of the following month's sales. an Commissions (10% of sales) Shipping (4.2% of sales) Office salaries ($750 per week – assume each month has 4 weeks) Rent ($5,000 per month) Depreciation is $3,300 per month. Income taxes are 40% and will be paid in taxes payable cash balance as of September 30 is $10,000. Loans are obtained at the end of any month when the minimum cash balance is not met. Interest is 3 % per month based on the beginning of the month loan balance and is paid at the end of each month. If the monthly ending cash balance is over $10,000, loans are repaid at the end of the month. As of September 30, the loan balance is $900. Prepare a master budget (round all dollar amounts to the nearest whole dollar) for each of the months of October, November, and December include the (20 pts): Sales budget Cash receipts budget .Inventory purchases budget Table of cash payments for purchases of merchandise Miscellaneous expense budget Cash budget, including information on the loan balance Budgeted income statement January 31. There are $2500 on December 31. The company requires $10,000 minimum monthly cash balance. The on

 

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Part 1 – Preparing your data for constructing a supervised learning model using… 1 answer below »

All analyses are to be done using R Programming Language. You will report on your findings.

Part 1 – Preparing your data for constructing a supervised learning model using MalwareSamples10000.csv

You will need to write the appropriate code to,

  1. Import the dataset MalwareSamples10000.csv into R studio.
  2. Set the seed using 10494665.
  3. Partition the data into training and test sets using an 80/20 split.

The variable isMalware is the classification label and the outcome variable.

Part 2 – Evaluating your supervised learning models

a)Select three supervised learning modelling algorithms to test against one another by running the following code.. Your 3 modelling approaches are :

  • Binary Logistic Regression
  • Logistic Elastic-Net Regression
  • Random Forest

b) For each of your supervised learning approaches you will need to:

i. Run the algorithm in R on the training set.

ii. optimise the parameter(s) of the model (except for binary logistic regression modelling).

iii. Evaluate the predictive performance of the model on the test set, and provide the confusion matrix for the estimates/predictions, along with the sensitivity, specificity and accuracy of the model.

iv. Perform recursive feature elimination (RFE) on the logistic regression model (only) to ensure the model is not overfitted. See Workshop 5 for an example, except in this instance, specify the argument function=lrFuncs in the rfeControl(.) command instead.

c) For the logistic regression model, report on the RFE process and the final logistic regression model, including information on which ??-fold CV was used, and the number of repeated CV if using repeatedcv.

d) For the other two models, report how the models are tuned, including information on search range(s) for the tuning parameter(s), which ??-fold CV was used, and the number of repeated CVs (if applicable), and the final optimal tuning parameter values and relevant CV statistics (where appropriate).

e) Report on the predictive performances of the three models and how they compare to each other.

Part 3 – “Real world” testing

a) Load new test data from the “real world” EmailSamples50000.csv.

b) For each of your models (with the optimised parameters which you have identified in part 2), run your classifier on the EmailSamples50000.csv test data.

c) For each optimised model, produce a confusion matrix and report the following:

i. Sensitivity (the detection rate for actual malware samples)

ii. Specificity (the detection rate for actual non-malware samples)

iii. Overall Accuracy

d) A brief statement which includes a final recommendation on which model to use and why you chose that model over the others.

What to Report

You must do all of your work in R. 1. Submit a single report containing:

a. a brief description of your three selected supervised learning algorithms.

b. For each algorithm:

i. The optimised parameters for the algorithm.

ii. A confusion matrix on the test set of the MalwareSamples.csv data showing the accuracy of the algorithm with the optimised parameters.

iii.A confusion matrix showing the accuracy of the algorithm for the ‘real world’ EmailSamples.csv data

iv. A short description of the accuracy, sensitivity and selectivity of the optimised algorithm when applied to the ‘real world’ data.

c. A short paragraph explaining your chosen algorithm and parameters and why this was chosen over the alternatives. Written in language appropriate for an educated software developer without a background in math.

Note: At the end you will present your findings of 3 algorithms showing 2 confusion matrix tables for each (1 for the MalwareSamples dataset, and 1 for the EmailSamples dataset). You will also present a description of accuracy, sensitivity and selectivity for each of the 3 algorithms. 2.

If you use any external references in your analysis or discussion, you must cite your sources.

 

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Workflow of Seismic Data Analysis 1 answer below »

Workflow of Seismic Data Analysis

 

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A $1000 five-year compound-interest GIC matured at $1234.01. What semiannually compounded rate of…

A $1000 five-year compound-interest GIC matured at $1234.01. What semiannually compounded rate of interest did it earn? View Solution:
A 1000 five year compound interest GIC matured at 1234 01 What semiannually

 

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write a persuasive essay arguing for slavery using the opinions which were prevalent during the…

write a persuasive essay arguing for slavery using the opinions which were prevalent during the ante-bellum era

Paper details: need to write a persuasive essay arguing for slavery using the opinions which were prevalent during the ante-bellum era 1800-1860. u can look up the information from the pro-slavery viewpoint George Fitzhugh or pro- viewpoint: John C Calhoun scroll to Anti-Abolition
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What safety precautions should be observed when performing a microhematocrit?

What safety precautions should be observed when performing a microhematocrit?
 

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How do these principles apply to cash disbursements a Physica How do these principles apply to cash.

How do these principles apply to cash disbursements a Physica

How do these principles apply to cash disbursements?

(a) Physical controls.

(b) Human resource controls.

How do these principles apply to cash disbursements a Physica

 

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