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  • advantages and disadvantages of 3 of the complementary and a…

    Submission Instructions:

    • Your initial post should be at least 500 words, formatted, and cited in current APA style with support from at least 2 academic sources. Your initial post is worth 8 point
    • All replies must be constructive and use literature where possible.

  • Computer Science Question

    Bonus R Programming Assignment (Venn Diagrams)

    This Bonus Assignment is optional. It will allow students to sharpen their R programming skills and also learn a valuable technique for visualizing data by using Venn Diagrams.

    For this assignment, simply watch the following video and read the web page from the link provided.

    After watching and reading the web sites, complete the examples. Feel free to use your own data if you wish to challenge yourself.

    Hand in the following:

    • A File with your R program. This file should contain only the code (no output) and must have the typical r extension. No other file extensions will be accepted. The reason is that the assignment be graded based on your R code and not the output file. The output file will be used to verify the code commands. Also, please make sure that all comments, discussion, and conclusions regarding results are also annotated as part of your code.
    • A PDF/DOC file with your output code. We are giving you more flexibility regarding how you want to present your output (tables, plots, etc.). You can either use RMD files that combine code, narrative txt, and plots or you can use word document with copy and paste from the R platform you are using. However, please remember that all output (tables, plots, comments, conclusions, etc.) shown in this file has to be generated by the same R code that you submit. This is important! Output shown that is generated using a separate code or output shown that is not supported by the submitted code will not be graded. Screenshots will not be accepted.

    Essential Activities:

    1. Watch all the training videos
    2. Execute the example code while watching the training videos.

    Notes:

    1. This assignment is due Sunday at 11:59 PM EST

  • poster board

    Read the following scenario.

    Your facility received the flowing performance data after implementing a clinical decision support system (CDSS). The goal is to have 100% compliance with CDSS use.

    • CDSS use among providers was 81.4%
      • 76% of providers approved of the newly implemented CDSS
      • Cited reasons for not using CDSS included mistrust of the system and a fear of potential diagnostic errors

    Based on the above performance data and metrics, design an interprofessional educational poster to mitigate the mistrust of the proposed CDSS and help increase compliance. Address the following requirements. Download the . Read the directions on the template. Use of this template is required. If the template is not used, a 10% deduction will be applied. See the rubric. Save the template and include your name in the file name.

    1. Include the required information in the appropriate section of the Clinical Decision Support Poster template.
    2. Use APA in-text citations and complete references to support your writing.
    3. Follow APA rules for grammar, spelling, word usage, and punctuation consistent with formal, scholarly writing.
    4. Abide by Chamberlain Universitys academic integrity policy.

    Include the following sections in the poster (detailed criteria listed below and in the grading rubric):

    1. Problem Identification
      1. Identify the intended audience.
      2. Present the concern.
      3. Use the provided performance data.
    2. Benefits
      1. Discuss at least three benefits of using CDSS.
      2. Include statistical data supporting CDSS use.
      3. Provide an in-text citation from one scholarly source to support your writing.
    3. Risks
      1. Describe at least three risks associated with bypassing the use of alerts in the CDSS.
      2. Provide an in-text citation from one scholarly source to support your writing.
    4. Strategies
      1. Provide at least three strategies for providers to increase the use of CDSS.
      2. Provide an in-text citation from one scholarly source to support your writing.
    5. Reflection
      1. Reflect on your learning and consider how the knowledge will improve your effectiveness as an advanced practice nurse.
      2. Discuss how you may use this tool in your practice.
    6. Presentation Format
      1. Ensure the poster is professional in language, tone, and appearance.
      2. Ensure the poster is well organized and balanced spatially including words and graphics (if used).
    7. References
      1. Provide 2 scholarly sources using correct APA formatting.

    Rubric

  • Computer Science Question

    R Programming Assignment

    For this assignment you will write an R program to complete the tasks given below. You will hand in two files for this assignment.

    • A File with your R program. This file should contain only the code (no output) and must have the typical r extension. No other file extensions will be accepted. The reason is that the assignment be graded based on your R code and not the output file. The output file will be used to verify the code commands. Also, please make sure that all comments, discussion, and conclusions regarding results are also annotated as part of your code.
    • A PDF/DOC file with your output code. We are giving you more flexibility regarding how you want to present your output (tables, plots, etc.). You can either use RMD files that combine code, narrative txt, and plots or you can use word document with copy and paste from the R platform you are using. However, please remember that all output (tables, plots, comments, conclusions, etc.) shown in this file has to be generated by the same R code that you submit. This is important! Output shown that is generated using a separate code or output shown that is not supported by the submitted code will not be graded. Screenshots will not be accepted.

    Use the following file

    • R Data Set: HMEQ_Scrubbed.csv (in the zip file attached).
    • The Data Dictionary in the zip file.

    Note: The HMEQ_Scrubbed.csv file is a simple scrubbed file from the previous week homework. If you did more advanced scrubbing of data for last week, you may use your own data file instead. You might get better accuracy! If you decide to use your own version of HMEQ_Scrubbed.csv, please hand it in along with the other deliverables.

    Step 1: Read in the Data

    • Read the data into R
    • List the structure of the data (str)
    • Execute a summary of the data
    • Print the first six records

    Step 2: Classification Decision Tree

    • Use the rpart library to predict the variable TARGET_BAD_FLAG
    • Develop two decision trees, one using Gini and the other using Entropy
    • All other parameters such as tree depth are up to you.
    • Do not use TARGET_LOSS_AMT to predict TARGET_BAD_FLAG.
    • Plot both decision trees
    • List the important variables for both trees
    • Create a ROC curve for both trees
    • Write a brief summary of the decision trees discussing whether or not they make sense. Which tree would you recommend using? What type of person will default on a loan?

    Step 3: Regression Decision Tree

    • Use the rpart library to predict the variable TARGET_LOSS_AMT
    • Develop two decision trees, one using anova and the other using poisson
    • All other parameters such as tree depth are up to you.
    • Do not use TARGET_BAD_FLAG to predict TARGET_LOSS_AMT.
    • Plot both decision trees
    • List the important variables for both trees
    • Calculate the Root Mean Square Error (RMSE) for both trees
    • Write a brief summary of the decision trees discussing whether or not they make sense. Which tree would you recommend using? What factors dictate a large loss of money?

    Step 4: Probability / Severity Model Decision Tree (Push Yourself!)

    • Use the rpart library to predict the variable TARGET_BAD_FLAG
    • Use the rpart library to predict the variable TARGET_LOSS_AMT using only records where TARGET_BAD_FLAG is 1.
    • Plot both decision trees
    • List the important variables for both trees
    • Using your models, predict the probability of default and the loss given default.
    • Multiply the two values together for each record.
    • Calculate the RMSE value for the Probability / Severity model.
    • Comment on how this model compares to using the model from Step 3. Which one would your recommend using?

    Essential Activities:

    1. Watch all the training videos
    2. Execute the example code while watching the training videos.

    Notes:

    1. This assignment is due Sunday at 11:59 PM EST
    2. HMEQ_Scrubbed.zip

  • History Question

    Read the articles and information added to each document to complete each question

    no AI

  • Writing Question

    Please write a detailed report on the topic listed below.

    Topic: The Mississippi state is rated as being number 1 among all 50 states with the highest percentage of its population (19.1% in 2022) living below the poverty line. Also, the state of Mississippi has the 11th highest number of students enrolled in Head Start programs.

    Is there a relationship between poverty and head start enrollment? If we take Thomas Sowells statement, There are no solutions, only tradeoffs,” whats the tradeoff if we seek a solution to poverty?

    Note: Your answer should be a minimum of 5-6 pages in total and include a minimum of 4-5 references. APA format, and no plagiarism or AI content is allowed.

    Note:

    • Content should be clear, concise, and understandable in APA format
    • No plagiarism or AI content is allowed.
    • Please follow the minimum number of pages and include a minimum number of references.
    • Check for any grammatical errors and sentence structure.

  • correctioins

    You will create this assignment following the Assignment Detail instructions below.

    Review the tutorial .

    Assignment Details

    You have just been appointed to a leadership position in a prison in the state where you live. You are the fourth person to be in this role within the past year. Your responsibilities are to ensure that correctional officers are maintaining ethical and professional standards while on duty.

    This video explores the Bureau of Prisons inmate classification system (Prison Professors, 2017):

    This video examines how prisons classify inmates (WCNC, 2019):

    explores the effect that inmate classification has on prison misconduct.

    Using the knowledge that you have gained from this weeks reading assignments, Intellipath and MUSE assets, and other information provided, address the following questions in a 2-3 page paper:

    • Describe the different perspectives of liability that officers may have from correctional leaders.
    • Discuss why leadership styles may need to be adjusted in different prison environments.
    • Finally, explain how you, as a correctional leader, would handle officers ethical issues, such as not reporting inmate altercations as required.

    While it is not necessary to provide complete citations in an APA format, your paper should include URLs and titles for any information used to support your position.

    You can use this template to help plan and write your paper:

  • Need to solve ds481

    Kindly solve this file if you need any thing you can email me

  • CPCCOM1013 Plan and organise work

    Keep your answers short to moderate (not long).

  • CPCCOM1013 Plan and organise work

    Keep your answers short to moderate (not long).