Assignment Question
Write an essay APA between 300-400 words, text book (Principles of Information Systems Ralph Stair & George Reynolds, 2020).
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Discuss the social and cultural repercussions of immigration, drawing from Suvin’s exploration of segregation versus cohabitation. Explore the economic impacts, using Favell’s insights into EU policies on mobility and integration.
Assignment Question
Introduction: Statement of the Problem: Immigration in Europe has become a pressing issue, marked by societal, political, and economic complexities. Thesis Statement: The multifaceted nature of immigration in Europe demands a comprehensive approach that addresses historical contexts, the extent of the problem, its repercussions, and proposes future solutions.
Body Paragraph 1 and 2: History of the Problem Discuss the historical context of immigration in Europe, referencing sources like “The Age of Migration” by Castles and Miller to highlight past migration patterns and policies. Explore previous attempts at solving immigration issues, citing Dennison and Geddes’ work on anti-immigration political parties to showcase past political responses. Body Paragraph 3 and 4: Extent of the Problem Examine the demographics affected by immigration, referencing Suvin’s analysis on public perceptions and societal implications. Utilize statistics and data from various sources to illustrate the scale and impact of immigration, discussing its effects on economies, cultures, and social structures. Body Paragraph 5 and 6: Repercussions of the Problem Discuss the social and cultural repercussions of immigration, drawing from Suvin’s exploration of segregation versus cohabitation. Explore the economic impacts, using Favell’s insights into EU policies on mobility and integration. Body Paragraph 7 and 8: Future Solutions Explore potential solutions to immigration challenges, considering policies that promote integration while respecting cultural diversity. Reference Joppke’s work on religion, politics, and immigration to highlight the importance of considering cultural aspects in future strategies. Conclusion: Summarize Findings: Immigration in Europe is a multifaceted issue deeply rooted in historical contexts, impacting demographics, societies, and economies. Comprehensive solutions that acknowledge the historical background, extent, repercussions, and cultural dynamics are imperative Sources: A Rising Tide? The Salience of Immigration and the Rise of Anti-Immigration Political Parties in Western Europe. James Dennison, Andrew Geddes
https://onlinelibrary.wiley.com/doi/10.1111/1467-923X.12620 Immigration: Immigration in Europe today: apartheid or civil cohabitation? Darko Suvin https://onlinelibrary.wiley.com/doi/10.1111/j.1467-8705.2008.00816.x Attached are both articles and how to quote. You may change thesis statement or body paragraphs if needed
Determine a process or method to identify multiple data types, processes, and organizational policies. Incorporate them into a plan, and select a PKI solution that will effectively address the content management needs of your company.
Assignment Question
In this assignment, you play the role of chief information technology (IT) security officer for the Quality Medical Company (QMC). QMC is a publically traded company operating in the pharmaceutical industry. QMC is expanding its arena of work through an increase in the number of clients and products. The senior management of the company is highly concerned about complying with the multitude of legislative and regulatory laws and issues in place. The company has an internal compliance and risk management team to take care of all the compliance-related issues. The company needs to make important decisions about the bulk of resources they will need to meet the voluminous compliance requirements arising from the multidimensional challenge of expansion. QMC will be required to conform to the following compliance issues: § Public-company regulations, such as the Sarbanes-Oxley (SOX) Act § Regulations affecting financial companies, companies that make loans and charge interest, such as the U.S. Securities and Exchange Commission (SEC) rules and Gramm-Leach-Bliley Act (GLBA) § Regulations affecting healthcare privacy information, such as Health Insurance Portability and Accountability Act (HIPAA) § Intellectual Property Law that is important for information asset protection particularly for organizations in the pharmaceutical and technology industry § Regulations affecting the privacy of information, including personal identification information, such as personally identifiable information (PII) regularly collected from employees, customers, and end users § Corporate governance policies including disclosures to the board of directors and the auditors and the policies related to human resources, governance, harassment, code of conduct, and ethics Compliance with regulatory requirements implies encrypting sensitive data at rest (DAR) and allowing access to role-holders in the enterprise who require the access. It also implies that sensitive data in motion (DIM) or data that is being communicated via e-mail, instant message (IM), or even Web e-mail must be suitably protected and sent only to the individuals who have a right to view it. The company is conscious about the loss they may face in terms of penalty and brand damage if they fail to abide by the compliance laws, especially in the online information transfer phase. Therefore, as a dedicated employee, your task is to develop a content monitoring strategy using PKI as a potential solution.
You will need to determine a process or method to identify multiple data types, processes, and organizational policies. Incorporate them into a plan, and select a PKI solution that will effectively address the content management needs of your company. You need to present your PKI solution in the form of a professional report to the senior management.
Explain the current situation with staffing shortage in the US. Which medical professions are we in need of most?- Identify at least three factors that have contributed to the health professional shortage.
Assignment Question
In your first post, respond to the items below. Your original post should be based on facts learned in the lesson rather than your personal opinions. Be sure to research your answer and cite at least one reliable source, such as your textbook, in your post.
a.) Explain the current situation with staffing shortage in the US. Which medical professions are we in need of most?
b.) Identify at least three factors that have contributed to the health professional shortage.
c.) Discuss what can be done on a national level to help with the shortage. Keep in mind the debt the U.S. already has due to health care.
d.) Describe specific solutions you would implement as a facility administrator to help with this shortage.
e.) State your opinion about whether you feel the current health care delivery system is effective and efficient enough to meet the demands of an aging population. How would you rectify the situation if you were the U.S. government?
How would you feel if you found out you had been a participant in such a study (ex; public recording like the TV series “what would you do?”) without expressly providing consent?
Assignment Question
How would you feel if you found out you had been a participant in such a study (ex; public recording like the TV series “what would you do?”) without expressly providing consent – Under what circumstances would it be ethical to observe people without their consent , and in what circumstances might it be considered unethical – Use examples to support essay – APA style
How did the 1984 Sikh Genocide shape the discourse on minority rights and religious freedom in India?
Assignment Question
Research Question: How did the 1984 Sikh Genocide shape the discourse on minority rights and religious freedom in India?
Below is an outline of what you should answer or address in each section:
Introduction What is the research puzzle? For example, what about your country of expertise led you to this question? As an example: In class, we discussed the puzzle of when racial/ethnic conflict occurs and why it occurs when it does. We asked questions like, “Why did the Rwandan Genocide occur in 1994?” (both the question of why then versus another time and the question of why did this conflict happen at all) What is the research question? This is the question that would add to the political science literature on the topic. As an example: For the puzzle mentioned above, one might ask the larger question of “Under what conditions does racial/ethnic conflict occur?” Note that this question is not specifically asking about the Rwandan Genocide, but it may look at the Rwandan Genocide as a case study to answer this question. An easy way to think of what makes a good research question that seeks to explore a causal relationship is whether it can take the form mentioned above: “Under what conditions does Y occur?” OR “Under what conditions does X [lead to/increase/decrease/etc.] Y?” This is for the situation in which you are interested in the effect of a particular variable – for example, “Under what conditions does nationalist rhetoric lead to ethnic conflict?”
Background: Provide the historical background of the topic – Where and when does this issue arise? Who are some of the important actors that someone should know about if they are looking at a project on this topic?
Literature Review: What have scholars said about this question – or at least the general topic? Use sites like the library website and Google Scholar to find relevant articles If scholars haven’t asked this exact question already, then what related questions have they asked? If they have asked this question, then what would your project add to the scholarly conversation? Would you be looking at a case or cases that other scholars have not examined and seeing if existing theories apply? Would you be taking an argument from a related topic and seeing if it applies to your topic?
Works Cited: List OR Footnote Citations List, in full citation form, all of the resources that you have referenced for the research. You may choose whatever citation format you want, as long as it is consistent throughout the paper: for example, if you choose to use Chicago format with footnote citations, then you should use that throughout the paper. If you choose to use APA or another parenthetical citation format, then make sure to include the citations (author name, year, and page numbers where needed) within the body of the paper, with the full citation in the Works Cited list at the end.
Research to compare and contrast at least two different Behavior Management Programs. You may choose from the examples included in the course for CHAMPS, Love and Logic, Capturing Kids’ Hearts, Assertive Discipline, and/or Restorative Discipline.
Assignment Question
This Assignment has two parts: Part 1 is a Behavior Management Program Comparison Part 2 is a Class Rules and Consequences Assignment
Part 1: Behavior Management Comparison
Research to compare and contrast at least two different Behavior Management Programs. You may choose from the examples included in the course for CHAMPS, Love and Logic, Capturing Kids’ Hearts, Assertive Discipline, and/or Restorative Discipline. You may also choose other behavior management programs as long as you are able to cite the program. If you know where you want to teach, you may want to ask the campus personnel what behavioral management program they use and use that as one of the programs for this assignment. Using at least 250 words, write a thoughtful reflection on your research. Include the similarities and differences and your thoughts on how you might incorporate tenets of either or both into your classroom environment.
Part 2: Class Rules and Consequences
List the age group and content area that you are planning to teach, and then draft a list of 3-5 class rules that you believe would be appropriate for this age and content area. State your rules positively. An exemplary submission will include rationale, classroom environment and/or philosophy the rules are intended to support. Then, create a series of escalating consequences using the example in your course text. The consequences should be applicable to all of your rules.
However, you can get full credit using google sheets or Microsoft excel to build your visualization. (A graph is a visualization) Are there trends you notice?
Assignment Question
Your practical project is the culmination of all the things you learned in this class when it comes to coding. For this practical, you will select between datasets and write an analysis of those datasets. Follow the rubric. You are *NOT* writing about your code, but instead, write about what you learned about the data, and find supporting information.
Imagine if you were presenting this information to an employer who has to make a business decision based on it. The points of the assignment are similar to the other essays on a 0-4 standards scale, however, scaled so points balance out correctly with the final exam. Possible scores are 8, 6, 4, 2, 0 (4-0 * 2). In the writing portion, do not describe how your code works. Instead, gather what you learn about the data from the coding assignment along with any additional python data manipulation, work in excel, or further external research, and write an analysis describing the narrative around your chosen dataset, the possible conclusions you have found, and your own as well as others’ biases (don’t be afraid to use the word “I” in self-reflective sections!). Keep in mind that for this writing assignment, you will not have the usual submission grace period and resubmissions. Because of this, it is even more strongly recommended that you read through the essay rubric before you begin writing to get a clear idea of what is expected of your work. If you are nervous about submitting either draft, bring your essay into your Lab or Office Hours to get feedback from one of our TAs, who are familiar with the grading process and what’s expected of the assignment.
Your written report should be a maximum of six pages. There is no minimum, but you should be able to fully express the narrative in the space allowed. It should be noted that six page is a common number for conference proceedings, and does not include a separate title page or bibliography. We expect most reports to be under this number, maybe a couple pages at the most. Your report will be turned in via canvas, and you will find a rubric for the report in the assignment listing. Your TAs and instructor will grade your reports based on the rubric. What to include? Detail the narrative of the primary dataset you analyzed. How does this narrative fit with other information you have found online about similar datasets (i.e. other references)? A data visualization. Ideally, you use a python library like matplotlib to create a visual of your data. However, you can get full credit using google sheets or microsoft excel to build your visualization. (A graph is a visualization) Are there trends you notice? This can be comparison over time, or something that stands out to you in your data visualization. It should have an intro, body and conclusion at a minimum. Common Questions Can you include graphs? For full credit you need at least one data visualization. Graphs count for this. You DO NOT need to write the code to generate the graph. You can use google sheets, or excel if you don’t get the code running. Do you need references? Yes. Every dataset is referenced on the dataset page, and you should find outside sources to confirm any info you find. Why this practical project? Many of you will continue onto other majors, without much a demand in coding. However, nearly every major requires analyzing data in some form, and having experience coding means you can use that experience to help you write scripts and applications to analyze that data.
my code: import csv filename = “titanic.csv” # Step 0: Identify collumns. # In this step you will be making several variables to keep track of the # indexes of the csv file for the assignment. # To do this, open the file seperately and find which index matches which step. # These indexes will be used in future functions in later steps. with open(filename, ‘r’) as file: reader = csv.reader(file) header = next(reader) # Read the header row name_index = header.index(‘Name’) surv_index = header.index(‘Survived’) sex_index = header.index(‘Sex’) fare_index = header.index(‘Fare’) # Step 1: csv_reader(file) # reads a file using csv.reader and returns a list of lists # with each item being a row, and rows being the values # in the csv row. Look back at the CSV lab on reading csv files into a list. # Because this file has a header, you will need a skip it. def csv_reader(file): with open(file, ‘r’) as csv_file: reader = csv.reader(csv_file) next(reader) # Skip the header row return [row for row in reader] # Step 2: longest_passenger_name(passenger_list) # Parameter: list # returns the longest name in the list. def longest_passenger_name(passenger_list): longest_name = max(passenger_list, key=lambda x: len(x[name_index])) return longest_name[name_index] # Step 3: total_survival_percentage(passenger_list) # Parameter: list # returns the total percentage of people who survived in the list. # NOTE: survival in the sheet is denoted as a 1 while death is denoted as a 0. def total_survival_percentage(passenger_list): total_passengers = len(passenger_list) total_survived = sum(int(row[surv_index]) for row in passenger_list) survival_percentage = total_survived / total_passengers return round(survival_percentage, 2) # Step 4: survival_rate_gender(passenger_list) # Parameter: list # returns: a tuple containing the survival rate of each gender in the form of male_rate, female_rate. def survival_rate_gender(passenger_list): male_survived = sum(1 for row in passenger_list if row[sex_index].lower() == ‘male’ and row[surv_index] == ‘1’) female_survived = sum(1 for row in passenger_list if row[sex_index].lower() == ‘female’ and row[surv_index] == ‘1’) male_total = sum(1 for row in passenger_list if row[sex_index].lower() == ‘male’) female_total = sum(1 for row in passenger_list if row[sex_index].lower() == ‘female’) male_survival_rate = male_survived / male_total if male_total > 0 else 0 female_survival_rate = female_survived / female_total if female_total > 0 else 0 return round(male_survival_rate, 2), round(female_survival_rate, 2) # Step 5: average_ticket_fare(passenger_list) # Parameter: list # returns the average ticket fare of the given list. def average_ticket_fare(passenger_list): fares = [float(row[fare_index]) for row in passenger_list if row[fare_index]] average_fare = sum(fares) / len(fares) if fares else 0 return round(average_fare, 2) # Step 6: main # This is the function that will call all of the functions you have written in the previous steps. def main(): passenger_list = csv_reader(filename) print(“Longest Name:”, longest_passenger_name(passenger_list)) total_survival_percent = total_survival_percentage(passenger_list) print(“Total Survival Percentage: {:.2%}”.format(total_survival_percent)) male_survival_rate, female_survival_rate = survival_rate_gender(passenger_list) print(“Male Survival Percentage: {:.2%}”.format(male_survival_rate)) print(“Female Survival Percentage: {:.2%}”.format(female_survival_rate)) average_fare = average_ticket_fare(passenger_list) print(“Average Ticket Cost: {:.2f}”.format(average_fare)) if __name__ == ‘__main__’: main()
code instructions: Practical Project > Titanic The titanic sunk in 1912, but the general public doesn’t know much about its passengers. This dataset contains the details of passengers of the “unsinkable titanic”. Introduction In this practical you will be extracting data from a csv file about Titanic passengers, you will be trying to gather information about them as a whole. Make sure to open the CSV file and look at it to understand how the file works For quick reference, the file is laid out as follows. PassengerId (ID number of the given passenger) Survived (Did the passenger survive? 1 if yes 0 if no) Pclass (What class of ticket did the passenger buy,values range from 1-3) Name (What is the name of the passenger) Sex (What is the sex of the passenger) Age (How old was the passenger at the time of the disaster) SibSp (How many siblings and spouses did the passenger have aboard the ship) Parch (How many parents and children did the passenger have aboard the ship) Ticket (What ticket did the passenger have, ticket number) Fare (How much did the ticket cost) Cabin (What cabin was the passenger in) Embarked (Port of Embarkation C = Cherbourg; Q = Queenstown; S = Southampton) The names in bold are the columns that you will be using in your program. Variables (Step 0) you will create four variables as file wide variables (often called global). Each variable is the index value of the column in the titanic.csv file. name_index = ?? surv_index = ?? sex_index = ?? fare_index = ?? Note: Remember that you will be dealing with a list in future methods. Be sure to brush up on how to access certain values of a list. Step 1: csv_reader(file) Reads a file using csv.reader and returns a list of lists with each item being a row, and rows being the values in the csv row. Look back at the CSV lab on reading csv files into a list. The function will be mostly the same with one exception. Since the file has a header row, you will need to either skip the first row, or remove it after you are done. NOTE:* Recall that next(reader) can be used to skip a row. You should test this now. Maybe print out the length of the list returned from the method. For example, a test could be print(“TESTING”, len(csv_reader(file))) #where file is set above to either titanic.csv or the tests file Step 2: longest_passenger_name(passenger_list) This function will take in the list created from csv_reader and will parse through each list to find the various names of all the passengers. It will then try to find the longest name, and return that name at the end of the method. Make sure to test this method! Here is an example test (notice, we are just creating our own list) test_list = [[1,0,3,”Longest Name”],[2,0,2,”Short”]] print(“TESTING”, longest_passenger_name(test_list)) print(“TESTING”, longest_passenger_name(csv_reader(filename))) Step 3: total_survival_percentage(passenger_list) This function will take in the list created from csv_reader and will parse through the list to find what percentage of passengers survived the sinking of the titanic. NOTE: In the survived column, those who survived will have a 1, while those who died will have a 0. The total number of survived should be divided by the total number of people to find the percentage. test_list = [[1,0],[2,1],[3,1],[4,1]] print(“TESTING”,total_survival_percentage(test_list)) print(“TESTING”, total_survival_percentage(csv_reader(filename))) your answer from the file should be a long decimal value and that is okay, we will format it in a later step! Step 4: survival_rate_gender(passenger_list) This function will do something very similar to step 3, but instead of keeping an overall survival percentage, it keeps a seperate survival percentage for male and female. This means you will need to count their number of survives and total number for each gender seperately. At the end you will return a tuple in the form of (male_surivival_rate, female_survival_rate) Remember in order to return a tuple you use the form return (item, item) test_list = [[1,1,3,”alice”,”female”],[2,0,2,”John”,”male”],[3,0,1,”Jane”, “female”]] print(“TESTING”,survival_rate_gender(test_list)) print(“TESTING”, survival_rate_gender(csv_reader(filename))) Step 5: average_ticket_fare(passenger_list) This function will take in a list created from the csv reader and will parse through it to find the average ticket price, as denoted by the fare column of the file. Step 6: main() This is the function that you will write to call all the functions that you have already written. You will need to print out each function return to match the formatting in order. NOTE: Tuples can be accessed similar to a list. tuple[0] accesses the first element with tuple[1] being the second and so on. All decimal numbers should be formatted to two decimal places Longest Name: Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo) Total Survival Percentage: 0.38 Male Survival Percentage: 0.19 Female Survival Percentage: 0.74 Average Ticket Cost: 32.20
After you are done, you will input this information into a website designed to analyze how well your intake compares to the Dietary Reference Intakes (DRI), RDA, or Daily Values. Do this daily so you don’t spend hours inputting at weeks end, there is no way to be accurate unless it is done daily. (Can you accurately recall everything you ate yesterday or two day’s ago?
Assignment Question
Instructions: The Dietary Analysis Project is an assignment where you will keep track of your dietary intake by creating a food diary over the course of part of one week (3 concurrent days, can be any three days though I think typical busy days offer a more realistic picture of eating habits than free days/no work/no school etc..) It is a bit like your first assignment but more in depth. You need to make a copy of this food diary on a word program so that you can turn it in along with the rest of the assignment. I have a sample paper linked here, don’t worry about writing a paper just like this one, this is here just to help you see one way of doing this assignment. Also a few things to mention about this sample paper 1) she covers a whole week because I used to ask students to do a whole week 2) the analysis from the website and diary are not included (she turned those in separate documents) 3) 130 grams of carbohydrate daily is a minimum, not a maximum, this is one significant mistake she makes (though overall the paper is great) so I just mention so that you don’t assume everything she wrote is perfect. Ok on to what is expected: 1) You will keep a detailed food diary indicating when you eat ( estimate the time), what you eat, and the estimated or exact portion size. Refer to the portion size information in chapter 2, page 47 – to recieve full credit all assignments must include references to the portion size information (understanding that a baseball is about the size of 1 cup, which is the serving size for such and such cereal or that a deck of cards is the same size as a 3 ounce portion of meat), if do not see references to portion sizes I will mark down this portion of the assignment. 2) After you are done, you will input this information into a website designed to analyze how well your intake compares to the Dietary Reference Intakes (DRI), RDA, or Daily Values. Do this daily so you don’t spend hours inputting at weeks end, there is no way to be accurate unless it is done daily. (Can you accurately recall everything you ate yesterday or two day’s ago? No, you need to notate this information daily). Your textbook comes with analysis software that will enable you to do this or you can access other programs, such as www.fitday.com. After the program analyzes your intake you will take the results and summarize it in your own words. Attach the computer analysis to the assignment, but DO NOT give me a daily breakdown, give me the analysis over the entire 3 day period, the average of all days inputted. 3) You will need to comment on the following aspects of your diet (again, DO NOT do a day to day analysis, look at the big picture over the 3 days, though it is good to mention how the different days differed) 1. Overal Calorie intake (vs. “how many calories you really need”) -up to 4 points 2. carbohydrates (amount?, types?) -up to 4 points 3. protein (sources? amount?) -up to 4 points. 4. fats (sources, amount, good or bad fats?) – up to 4 points 5. Vitamin and mineral intake (up to 4 points) 6. Fiber (amount, types) – up to 4 points 7. What surprised you, what did you observe (trends, habits, processed foods, variety etc.) up to 4 points 8 How you can improve your diet and come closer to meeting the recommendations? (up to 4 points) 9 Dietary analysis: up to 9 points per day x 3 days (28 points) 10 Sodium (amount, did it exceed recomendations?) (up to 4 points) The written summary should be approximately 4 pages in length (that is in addition to the actual analysis info you submit). Also remember to turn in your original food diary!!! sample paper Sample Personal Dietary Analysis paper: This comes from a student in a past class, I post this to give you an idea, it doesn’t mean your paper will be like this one. Also remember there are other parts of the assignment (the diet diary, analysis etc…) that are not included in this sample; but of course you do need to do. Tracking my daily food intake is not new to me since I have followed Weight-Watcher’s in the past and keeping a food diary is a cornerstone of the program. However, the difference is Weight-Watcher’s food tracking was paper-based and I used www.fitday.comto analyze my food intake this time. I definitely loved the idea of using a computer-based program because within a few seconds of entering my data it provides me with clear a snapshot of my nutrition, not only statistically but also graphically. My total calorie intake for the average day is low when compared to RDA values (Recommended Dietary Allowance) and that is the plan I have been following since my brief Personal Evaluation in week two. I was overweight, 145 pounds, at the time and I started following a 1500-calorie diet knowing that my RDA is around 2000 calories. This 500 calorie/day deficit allows me to lose one pound/ week without affecting my BMR (Basal Metabolic rate) significantly or depriving me of food. Today I am pleased to write that I weigh 133 pounds, which means I lost 12 pounds in 12 weeks! In the case of daily carbohydrate consumption, it is the exact opposite of caloric consumption. The recommended RDA for carbohydrates for me is 135 grams/day while I am eating an astonishing average of 240 grams/day of carbs, while some days topping to 266g/day, which is 200% of the RDA! I had a false belief that as far as I was following AMDR (Acceptable Macronutrient Distribution Range), I would be eating a balanced diet. However, that was not the case. I am consuming 63% carbohydrates according to AMDR, but I am almost at 200% compared to RDA. Finally, I recalled the difference between RDA and AMDR from reading chapter 3 in the textbook. I am on the upper end for the carbohydrates intake of AMDR, which is a percentage of total energy intake and the top numbers of the range associated with chronic diseases. On the other hand, RDA is the standard for intake of nutrients and meets the needs of 98% of the individuals. I did not use % DV (Daily Value) to compare my nutrition intake because it is based on a 2000 calorie diet not the 1500 calorie diet. The good thing is the most part of carbohydrate intake is from complex carbohydrates like grain, legumes and vegetables while the small part comes from fruits and added sugar. Thanks to the sugar intake assignment, I seldom drink soda now because every time I see soda I see a pile of sugar and stop myself from grabbing it. In my diet, protein accounts for average 14% of AMDR, which is in the lower end of AMDR range of 10%- 35% for normal healthy person. RDA for protein is 0.8 g/kg/day, which is around 48 g/day for my weight. During this week, my protein consumption was in range of the 45g/day to 64g/day averaging to 53.8 g/per day. Low fat dairy products, legumes, nuts, beans and lentils provide me with the protein. Being a vegetarian, milk and dairy product are my sole source of complete protein; however, I try to include complementary proteins like beans and rice in my diet. Honestly, I am quite happy with my protein analysis because my protein intake was quite low during the brief personal analysis, which is one of the pit falls for being a vegetarian. However, since then I learned to include protein when I plan the menus, and I succeeded. Although there is no RDA for the fat, my consumption of fat represents at 24% of AMDR, which is within the acceptable range of total fat of AMDR, 20% to 35% of total calories. My average total fat intake is perfectly fine at average 41g/ day, which should be somewhere 33g/day to 58 g/day according to calculated AMDR. Saturated fat intake should be less than 10% of total calories, that is less than 16 g/day and my intake was 11.3 gram/day, so I was within the accepted range. Most of my saturated fat comes from milk products even though I consume fat-free or 1% dairy products. Out of 41 grams, the rest of 30 grams of fat is polysaturated whereas monosaturated “good” fat comes from nuts, beans, canola oil and olive oil. I added walnuts and flaxseed (grounded) to my diet to obtain Omega-3. My cholesterol intake was low, at a mere 50 mg whereas the recommend limit is 300 mg/per day. The next nutrient intake to be analyzed is my fiber intake. The recommended AI, Adequate Intake, for fiber, is 38g/day for a man and 25g/day for a woman, of which the latter applies to me. My fiber intake was at the 100% of AI level at 25g/day for women of my age. However, it is not a big surprise, being a vegetarian, that the food that provided me with fiber was the fresh fruits, vegetables, beans and legumes. Insoluble fiber comes from wheat, rice and vegetables, while the sources of soluble fiber are oatmeal, apple, banana, peach, prune, dates, beans and nuts. For the most part, I am receiving adequate amounts of vitamins and minerals. The only vitamins and minerals I am constantly lacking in throughout the week are vitamin E at 40% of the RDA, vitamin C at 58% of the RDA, vitamin D at 24% of the RDA and the mineral Iron at 78% of RDA. On the other hand, the mineral sodium is first on the list to cut back as I consumed an average 200% of RDA sodium daily. I generally do not add salt to my food, but I observed that processed foods and fat free versions of foods like low fat cheese are main culprits of having excess salt. I need to be more cautious about reading the labels when grocery shopping and should opt for low-sodium or sodium-free food. I chose to track my diet from Tuesday, November 1 to Monday, November 7 because I was off work that weekend. I work 12 hours on a weekend night shift, which makes it hard for me to decide which meal I am consuming, breakfast, lunch or dinner. During the weekdays, my day starts with late breakfast around 10 am because of my disturbed circadian clock. I have lunch by 1:00 pm and dinner around 6:00 pm with my family. I consume a snack or two in between meals, drink 8-10 glasses of water and refrain from drinking juice, soft drinks or alcohol. The first day I kept having to remind myself to jot down my foods in the food diary, but then it came naturally. I consumed 1726 calories on Tuesday, which is around 200 more calories than my budget of 1500 calories. My breakfast includes tea, milk and cereal; for lunch, I had salad, soup, and a burrito for dinner. The worst part about my diet for the day was my 291-gram carbs, which is high for the RDA and the AMDR. My fat was up to 19% and protein was up to 14% with dietary fiber around 36g. However, the next day there was a small improvement in my carb intake to 237 gram with 1525 total calories consumed. My fat consumption was 27 % of the AMDR and my protein intake was low at 12% of the AMDR. My salt intake was up to 145% of the RDA, but I had potato chips with a veggie wrap for lunch and tortilla chips with rice/beans for dinner, so it was not very surprising. However, my breakfast was healthy with tea and milk and cereal as usual. The dietary analysis turned out the same for the third day, Thursday, was almost the same as the previous two days with a high carb intake at 246 grams, which is 190% of the RDA and 65% of the AMDR. My total calorie intake was 1493, which was within the recommendation of a 1500-calorie diet. The breakfast was a regular whole wheat bagel with raisins, tea and milk, while lunch was a grilled cheese sandwich with low-fat strawberry yogurt. Once again, my sodium intake was high at 170% of the RDA, which can be blamed on my dinner of Chinese fried rice and lo-Mein, a no- brainer! On the fourth day of my diet analysis, I suddenly realized I was following a trend: high carbs, high sodium, and within range of fats and protein with a 1500-calorie diet. I made oatmeal for breakfast with tea and milk, lunch was vegetable baked beans, and for dinner, I had pizza. Friday is pizza night, but the pizzas are home made with low-fat cheese and vegetable toppings. However, no matter what I ate, Chinese, Italian, or Mexican my diet analysis ended up pretty much the same. I consumed 188% carb of the RDA and a mind-blowing 232% of the sodium of RDA. Fat intake was 23% of the AMDR and protein intake was 17% of the AMDR with a total 1545 calories/day. Saturday, the fifth day, I decided to tweak my diet with hopes of curbing my carbohydrate and sodium intake, so I cooked an Indian dish for dinner: sprouted mug beans with wild rice. I went out shopping after my breakfast of tea and milk and cereal. I snack on dried prunes (to help with constipation) and a dried fruit and nut mix. I grabbed tortilla chips and cheese from taco bell for lunch. A healthy dinner helped me to do better with my sodium and protein, which is 64% of the RDA and 123% of the RDA respectively; However, I again consumed 186% of the RDA for carbohydrates with a total 1458 calories/day! Sunday, the sixth day of my diet tracking, started with the usual breakfast of a bowl of cereal with milk and a cup of Indian tea. I was busy with the house chores, so I grabbed some dates and crackers with cheese at lunchtime. My dinner was vegetable curry with rice and kidney bean salad. I did well with my protein and fiber consumption, which was 105% and, 145% of the RDA, however it was frustrating to see a high carb and sodium intake was again for the RDA, which was 200% and 165% of the RDA respectively. Finally, the last day of the food diary, I had a pumpkin muffin with tea and milk for breakfast. I grabbed some peanuts, one banana and a low-fat blueberry yogurt at lunch. I prepared a rice-vegetable medley for dinner. I consumed a total 1443 calories, which comprised of 214-grams of carbohydrates (166% of RDA), 44.8-grams of protein (97% of RDA) and 48.4-grams of total fat (29% of AMDR). Yet, nothing can beat my sodium intake, which was 202% of the RDA, a true silent killer! After having a better understanding of my diet and food consumption, I can definitely improve my diet in three ways: carbohydrate and protein consumption, vitamin intake for vitamin D, E, and C as well as mineral intake for iron and sodium. For a balanced intake of macronutrients, I need to decrease the carbohydrate consumption and increase the protein intake because my carbohydrates are in upper range (45% to 65%) to 63% of the AMDR while my protein intake is 14% of the AMDR in the lower end of the range (10% to 35%). As I am lacto- ovo -vegetarian, I am planning to include eggs in my breakfast that will increase my total protein intake as well complete proteins, which I totally lack in my diet. For my vitamin C intake, I will include more variety of fruits including citrus fruits. For vitamin D, I need to add some food fortified with vitamin D, such as milk, and cereal. In addition, the analysis software does not take sun exposure in to account, so that is another source to obtain vitamin D. Normally, I like nuts and seeds and get enough vitamin E from that, but the only problem is the high calories associated with them. Right now, I am trying to stay in negative energy balance to reduce my weight so I consume nuts sparingly. Once I am up to my optimum weight, I can include more nuts, seeds, and oil in my diet. In addition, vitamin D and vitamin E are fat-soluble vitamin, so I am sure I have enough fat in storage for a while and I am not in imminent danger of any deficiency. From the class I learned that the intestinal track absorbs more of the heme iron than nonheme iron and my diet only contains nonheme iron, so I am at a disadvantage to start with. However, I can correct this deficiency by consuming vitamin C rich foods with vegetables that have a good amount of iron to increase the nonheme iron absorption such as spinach with tomato. In addition iron fortified food or cereal is also a source of iron that I can include in my diet to prevent iron-deficiency anemia. What surprises me the most about my diet is my carbohydrate intake. I used to keep a log of my food in the past by calorie intake and by a point system (Weight Watcher’s), but I would never have realized that my carbohydrate intake was astonishingly up to 200% for the RDA without dietary analysis software. No wonder I kept gaining weight without well-balanced macronutrients! This nutritional analysis has provided me with a wonderful opportunity to look at my diet in a completely new light. It is my full intent to take in what I am learning in this class and apply it to my life for the better of my family and myself
If you were building a community for executives leading the marketing function in Fortune 500 companies, who would be the first three executives you’d invite to join the group and why?
Assignment Question
Directions: Answer all of the questions in detail with correct grammar, punctuation, and spelling.
Here are the prompts
1.) If you were building a community for executives leading the marketing function in Fortune 500 companies, who would be the first three executives you’d invite to join the group and why?
2.) What do you think is currently on Ed Bastian’s mind? What is he worried about?
3.) If Ed Bastian were to lead a Harvard Business School lecture, what subject do you think he’d teach?
4.) Read this article by Adam Grant. Link to article: https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/givers-take-all-the-hidden-dimension-of-corporate-culture . What points do you think are especially relevant? How do you create balance between serving the customer and company and asking for help?
5.) Attached is a welcome card typical of one we’d give to our members on the first day of a Summit. (File is attached to this order called welcome card). Your job is to ensure all the information is accurate. Respond with any mistakes you find.