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  • Salwan 155 analysis

    Your Tasks

    TASK 1- FOOD LOG

    You will keep a 3-day food log, where you will record the meals and snacks, along with their nutrients, that you ate throughout each day. You can choose to track this using Cronometer or the

    This week’s focus: water, sodium, potassium, Vitamin A, Vitamin C, Vitamin D, calcium, and iron.

    You may record carbohydrates, fat, and protein; however, they are not required for this week.

    Please see the page for more specific details on this process.

    TASK 2- ANALYSIS

    Please answer the following questions in complete sentences:

    1. In regard to last week’s ‘challenge’-
      1. Did you try your protein swaps? If so, how did it go?
    2. In regard to water-
      1. Did you meet the recommendations for water intake? What are considerations that a person needs to make when determining water needs?
      2. What drinks do you mainly drink to meet fluid needs? Do you think that those are healthy choices (caffeine, alcohol, sugar)?
    3. In regard to micronutrients-
      1. What is your fruit and vegetable consumption like? Are you meeting recommendations? What are ways that you can increase your consumption?
      2. What were your averages for salt, potassium, Vitamin A, Vitamin C, Vitamin D, calcium, and iron? Were these values above, below, or at the recommended values? Did these averages surprise you?
      3. Were you taking a multivitamin prior to this course? After seeing these values, do you think you will continue taking the multivitamin or will you start taking a multivitamin? Why or why not?
    4. Looking forward-
      1. What are foods that you can start eating in order to increase the above micronutrients (except salt!) in your diet?
      2. What are ways that you can cut back on salt in your diet?

    Requirements: Follow

  • Nutrition &health: general& bones and joint health

    Objective:

    To understand the dietary requirements for general health (a healthy adult should maintain) and explore the specific needs for Bones and Joints health, to explore common health issues related to them, and analyze the role of nutrition in maintaining musculoskeletal health.

    Instructions:

    1. Part A Search Process
      • Search the literature (and your textbooks) to find the latest nutrition requirements (with respect to Protein, Minerals and Vitamins) for general health and specific requirements of healthy Bones and joints.
      • Provide a one short paragraph explaining your search method and where you have taken the information.
    2. Part B Nutrition Summary Table
      • Complete the Nutrition Summary Table provided.

    Requirements:   |   .doc file

  • Ayad 204.

    Assignment : Your Tasks

    TASK 1

    Briefly review and familiarize yourself with the following documents. These will help inform your answers for Task 2.

    TASK 2

    Answer the following questions:

    1. Which region do you live in (North Coastal, North Inland, North Central, Central, South, or East)? 1 point
    2. Before reading about your region, did you believe that it had better, the same, or worse health outcomes compared to other regions? Why? 3 points
    3. What are examples of health concerns that are experienced by people in the region where you live (e.g., obesity, asthma, diabetes, heart disease, etc.)? 3points
    4. What behaviors are more or less common among people in your region (e.g., food and beverage consumption, physical activity, tobacco or substance use, violence)? 5 points
    5. Which groups (people, not regions) have better health outcomes, and which groups have worse outcomes? 3 points
    6. What are some steps that you think your region can take in closing these health disparity gaps? 5 points

    Discussion 5: San Diego’s Community Health Centers

    Introduction

    In this previous unit we learned about community health centers and how they are a viable option for those who cannot afford healthcare. San Diego offers an array of health centers that meets the various needs of our diverse population.

    Your Tasks

    TASK 1- RESEARCH

    Review this list of in San Diego that you would like to do more research on. This is not an exhaustive list and you are welcome to choose one that is not on the list.

    TASK 2- ORIGINAL POST

    Answer the following questions about the health center in an original post:

    1. Name of the health center, location, contact information, and web URL. 3 points
    2. Does this organization target a certain population (e.g., children, elderly, young families, homeless, Native Americans, etc.)? 2 points
    3. What health services do they provide? Describe in detail at least two of their services. 8 points
    4. How does billing and insurance work at this health center? 3 points
    5. The post must be at least 250 words. 2 points
    6. Include at least 1 outside reference, cited in APA format. This reference needs to be cited both in-text and at the end of the post in a reference list. 2 points

    Requirements: Follow

  • Belinda 204

    Assignment : Your Tasks

    Task 1

    Briefly review and familiarize yourself with the following documents. These will help inform your answers for Task 2.

    Task 2

    Answer the following questions:

    1. Which region do you live in (North Coastal, North Inland, North Central, Central, South, or East)? 1 point
    2. Before reading about your region, did you believe that it had better, the same, or worse health outcomes compared to other regions? Why? 3 points
    3. What are examples of health concerns that are experienced by people in the region where you live (e.g., obesity, asthma, diabetes, heart disease, etc.)? 3points
    4. What behaviors are more or less common among people in your region (e.g., food and beverage consumption, physical activity, tobacco or substance use, violence)? 5 points
    5. Which groups (people, not regions) have better health outcomes, and which groups have worse outcomes? 3 points
    6. What are some steps that you think your region can take in closing these health disparity gaps? 5 points

    Discussion 5: San Diego’s Community Health Centers

    Introduction

    In this previous unit we learned about community health centers and how they are a viable option for those who cannot afford healthcare. San Diego offers an array of health centers that meets the various needs of our diverse population.

    Your Tasks

    Task 1- Research

    Review this list of in San Diego that you would like to do more research on. This is not an exhaustive list and you are welcome to choose one that is not on the list.

    Task 2- Original Post

    Answer the following questions about the health center in an original post:

    1. Name of the health center, location, contact information, and web URL. 3 points
    2. Does this organization target a certain population (e.g., children, elderly, young families, homeless, Native Americans, etc.)? 2 points
    3. What health services do they provide? Describe in detail at least two of their services. 8 points
    4. How does billing and insurance work at this health center? 3 points
    5. The post must be at least 250 words. 2 points
    6. Include at least 1 outside reference, cited in APA format. This reference needs to be cited both in-text and at the end of the post in a reference list. 2 points

    Requirements: Follow

  • PowerPoint Presentation 12-15 Slides

    Create a PowerPoint Presentation to train newly promoted supervisors at River Boats Manufacturing. Use AI tools to research, design and enhance your slides. Your goal is to help new supervisors transition successfully from being a worker to a leader. Instructions

    1. Topic Overview

    You are the Day Shift Supervisor. Your audience is a diverse group of newly promoted team leads (ages 2555), some with military backgrounds, some with past challenges, and many with strong ties to their former peers. Your job is to help them understand:

    • The challenges of becoming a supervisor
    • What makes a good (or bad) supervisor
    • How to transition effectively into leadership

    2. AI Integration Requirements

    Use at least three AI tools in the creation of your presentation. Heres how:

    • Research & Content Generation

      • ChatGPT / Claude / Perplexity: Generate outlines, summaries, and talking points
        QuillBot / Grammarly: Refine and paraphrase your slide text

    • Design & Visuals

      • Canva / Beautiful.ai / Gamma.app: Design your slides with AI-powered formatting
      • DALLE / Adobe Firefly / Midjourney: Create custom images (e.g., humorous graphics, leadership metaphors)
      • Pictory / Synthesia: Optional: Create short AI-generated videos or avatars for slide narration

    • Data & Infographics

      • Infogram / Visme / Tableau Public: Create charts or infographics showing leadership traits, challenges, or transition paths

    3. Slide Requirements

    • Title Slide
    • Introduction Slide(s): Overview of the training and objectives
    • Body Slides (810):
      • Challenges new supervisors face
      • Traits of good vs. bad supervisors
      • Transition strategies: mindset, communication, coaching, leadership
      • Real-world examples or scenarios
      • Reflection Slide: Briefly explain how AI helped you in this project
      • References Slide(s): APA 7th edition format, minimum of 3 credible sources (not including your textbook or Wikipedia
      • Total Slides: 1215 (maximum)

        • Resources: , ,

        TIP: Submit your work as a PowerPoint Presentation (.pptx) with speaker notes.
        Importance on: Organization, Grammar, Content/Subject Matter, APA Format, Creative use of Technology

      NO PLAGIARISM, SITE REFERENCES, REFLECTION SLIDE IS A MUST!

      Thank you.

      Requirements: 12-15 Slides   |   .ppt file

    • NO WRITING BY AI

      Compare and contrast the 3 modelling methodologies discussed during the module, basing your analysis on the course material presented, supplemented with substantial wider research. Your submission should specifically discuss System Dynamics, Discrete Event Simulation, Agent-Based Modelling, but may also include any other methods that you think are relevant. Your discussion should also include where and why you might want to utilise each methodology in the Systems Engineering Lifecycle, noting when each may be more or less useful. Your response should be no longer than 3000 words, excluding titles and references. The document should be submitted in either Word (.doc) or Portable Document Format (.pdf) format. Your work should show clearly the number of words used.

      1- I HAVE LIST THE 12 RECOMMEND REFRANCE TO USE FOR THS PAPER

      2- I HAVE UPLODED THE CLASS UNITS WHICH SHOUT BE USE FOR THIS PAPER.

      3- I HAVE ULODED THE CALSS EXCESRCE THAT YOU CAN ALOS MENTION ON THIS PAPER.

      4- I HAVE UPLODE THE anylogic-in-3-days WHICH COVER THE USE ON THREE METHODS System Dynamics, Discrete Event Simulation, Agent-Based Modelling,THAT I DID IN CLASS.

      5- I HAVE UPLODED THE RECOMMEND PAPER STRUCER TO GET ABOVE 80% FOR THIS PAPER.

      6-FOLLOW THE RUBRIC I HAVE UPLODED TO GET A GOOD GRADE FOR THIS PAPER.

      Requirements: 3000

    • Studypool Professional

      DESKRIPSI PEKERJAAN PROFESIONAL

      Bidang: Pembuatan Musik & Video Penulisan Lagu

      Saya memiliki pengalaman dan ketertarikan dalam bidang pembuatan musik serta penulisan lagu, termasuk proses kreatif dari ide awal hingga hasil akhir. Saya mampu mengembangkan konsep lagu, menulis lirik yang sesuai dengan tema, serta menyusun melodi dasar secara kreatif dan terstruktur.

      Selain itu, saya juga terlibat dalam pembuatan video penulisan lagu sebagai media dokumentasi dan promosi. Proses ini mencakup perencanaan konsep visual, pengambilan video, serta pengeditan sederhana untuk menghasilkan konten yang menarik, rapi, dan layak dipublikasikan di platform digital.

      Saya terbiasa bekerja dengan disiplin, menghargai waktu, dan terbuka terhadap arahan maupun masukan. Saya mampu bekerja secara mandiri maupun dalam tim, serta memiliki komitmen untuk menghasilkan karya yang berkualitas dan profesional.

      KEAHLIAN

      • Penulisan lirik lagu
      • Pengembangan ide dan konsep musik
      • Pembuatan video proses kreatif lagu
      • Editing video dasar
      • Kreativitas dan manajemen waktu
      • Konsistensi dan tanggung jawab kerja

      TUJUAN PROFESIONAL

      Mencari kesempatan untuk berkembang di bidang musik dan konten kreatif, serta berkontribusi menghasilkan karya yang bernilai artistik dan profesional.

      Requirements:

    • Marketing Plan

      Instructions

      The three parts of the overall marketing plan that will be completed this week are Marketing Strategies, Timeline for Completion, and Measuring Results. Please thoroughly address the following components and support them with sources you locate during your research for the assignment.

      • What are some of the specific strategies you will use to promote the team? Please list and explain a minimum of five (5) marketing strategies based on what you’ve learned about the Lynchburg area. While contemplating marketing options, please be sure to consider how each strategy could be measured for success. In other words, there must be a minimum of one measurement tool for each marketing strategy. For example, since most marketing plans have expanded past the use of a simple website presence, lets use an organization’s website as an example. If creating a new website was your marketing strategy, it could be measured in several ways. This includes total number of hits, the number of times keys words show up in web searches, etc. Since the use of websites was used as an example here, it may not be one of the five marketing strategies incorporated into your assignment.
      • Please provide a proposed timeline, in a list format, for the implementation of your recommendations. What are the sequence of things that must happen with proposed dates?
      • How will the results of implementing the marketing plan and strategies be measured for success? Please provide a measurement tool for each of the five marketing strategies you proposed.

      Please create a PowerPoint presentation covering the areas listed above for the new team owners. Please be sure to review the “PowerPoint Presentation Do’s and Don’ts” document that’s attached.

      Remember, the PowerPoint must be in bullet format and also include a separate word or PDF file with notes on each slide explaining the bullet points, so that if you were unable to make the presentation, someone else could make the presentation for you by reviewing what you’ve written in the Word or PDF file. Be sure to carefully proof your work. You may, but do not need to include slides from previous assignments in this section of your marketing plan.

      Please include a title slide that includes your name and the assignment topic, as well as a reference slide at the end of your PowerPoint presentation which includes a minimum of three (3) scholarly sources. However, since your goal is to have a minimum of ten (10) overall sources for your final marketing plan, sources utilized for this week should be different than those in previous assignments. Don’t forget that every source should be correctly cited throughout your presentation on the appropriate slide.

      Length of this section of your marketing plan: This assignment should be approximately 10-12 PowerPoint Slides (not including title page and references).

      Length of this section of your marketing plan: This assignment should be approximately 10-12 PowerPoint Slides (not including title page and references).

      Requirements: 15 slides

    • Programming Question

      Hands-On Project 2: Classification Algorithms in Google Colab
      Objective:

      In this assignment, you will work with a classification problem using machine learning techniques, specifically focusing on classification algorithms such as Logistic Regression, K-Nearest Neighbors (KNN), and Support Vector Machines (SVM). You will apply these algorithms to a dataset, evaluate their performance, and analyze the results. This will help you understand the key concepts in Module 3, such as data mining methods, algorithms, and model evaluation.

      Learning Outcomes:
      • Understand and apply classification algorithms to real-world datasets.
      • Evaluate the performance of different classification models.
      • Understand the application of machine learning in predictive analytics and its integration in business contexts.
      • Gain experience in model evaluation metrics such as accuracy, precision, and recall.

      Instructions:

      Access .

      • Open Google Colab and run the code provided directly from the .
      • Open the notebook for Chapter 3: Classification and run the code as provided in the Colab interface.
      • Follow the instructions in the notebook and execute each step of the classification process.

      Follow the Steps in the Notebook:

      • Step 1: Load and explore a classification dataset (e.g., Iris dataset or MNIST dataset).
      • Step 2: Preprocess the data (e.g., handling missing values, scaling the data).
      • Step 3: Train classification models (Logistic Regression, KNN, SVM).
      • Step 4: Evaluate model performance using appropriate metrics such as accuracy, precision, recall, and F1-score.

      Ensure you run all the code and take notes on your observations, as this will form the basis of your report.

      Write a Report:

      After executing the code and analyzing the results, write a 1-2 page report with the following structure:

      • Introduction (100 words):
      • Briefly describe the dataset you used and the classification task. Summarize the algorithms you will apply.
      • Process (300 words):
      • Explain the steps taken during the assignment, including data exploration, preprocessing, model training, and model evaluation. Include which classification models you applied and the reasoning behind your choices.
      • Findings (200 words):
      • Discuss the performance of each classification model. Which model performed best? What did the evaluation metrics (accuracy, precision, recall) indicate about the models?
      • Conclusion (100-150 words):
      • Conclude by reflecting on the application of classification in real-world scenarios. What key insights did you gain from applying machine learning algorithms to classification tasks?

      Deliverables:

      1. Report (2-3 pages, 1000-1200 words)- ensure you have a cover page, no specific format is required, you are free to use APA or any professional format.

      Requirements: i need video recording how excuting this one

    • Bayesian Inference Exercise Enhancing a Medical Diagnosis S…

      Bayesian Inference Exercise Enhancing a Medical Diagnosis System

      Use Case:

      You are part of a healthcare AI startup developing an intelligent diagnostic system. Your goal is to enhance the systems accuracy using Bayesian Inferencean approach that combines prior knowledge with new patient data to predict the likelihood of disease. This system must dynamically update its diagnostic predictions as it encounters new cases.

      Youll build a Bayesian model using Python, apply it to a medical dataset (e.g., the UCI Heart Disease dataset), and validate its performance with real-world diagnostic outcomes.

      Learning Objectives:
      • Understand and apply Bayesian inference in real-world predictive modeling.
      • Use domain knowledge to define priors and update beliefs with new evidence.
      • Gain practical experience with probabilistic programming using PyMC3 or similar libraries.
      • Validate and refine models using statistical and diagnostic performance metrics.
      Instructions:

      1. Data Collection

      • Use the UCI Heart Disease dataset or a comparable public health dataset containing:
      • Patient symptoms
      • Medical history
      • Diagnosed conditions
      • Perform preprocessing (clean missing values, encode categorical variables, etc.).

      2. Prior Knowledge Integration

      • Conduct a brief literature review to determine the prior probabilities of various heart conditions or diseases.
      • Cite medical studies or datasets used to determine these priors.
      • Clearly explain assumptions and how priors are mathematically incorporated.

      3. Bayesian Model Development

      • Use PyMC3, PyMC, or TensorFlow Probability to implement your model.
      • Your model should:
      • Use patient symptoms and history as input features.
      • Output the posterior probability of a diagnosis.
      • Update dynamically as new data points are introduced.

      4. Model Validation

      • Reserve a validation/test subset (e.g., 20% of the data).
      • Evaluate model performance using metrics such as:
      • Predictive accuracy
      • Log-likelihood
      • Confusion matrix
      • ROC/AUC if applicable
      • Compare predictions with actual diagnoses.

      5. Iteration and Refinement

      • Based on validation results:
      • Adjust prior distributions
      • Modify likelihood functions
      • Re-train and re-evaluate the model

      6. Final Report

      • Submit a well-structured report that includes:
      • Introduction to the problem and use case
      • Description of dataset and priors
      • Explanation of the Bayesian model and assumptions
      • Summary of validation and results
      • Discussion of findings and potential improvements
      • Conclusion and next steps
      Submission Requirements

      Deliverables:

      Python Code File (.ipynb or .py):

      • Modular, well-commented code.
      • Includes data processing, model development, training, and validation.
      • Use markdown or comments to explain each section.

      Final Report (.pdf or .docx):

      • Include figures such as posterior distributions, ROC curves, and performance tables.
      • Use APA citation style.
      Sample Data Set:

      Requirements: throught screen share   |   .doc file