Discuss elements and environment necessary for optimal growth of the microbe

Review the posts by your peers and then select a single, specific microbe of your choice that has not already be chosen (you may reserve your topic by making a quick post now, then come back later to edit the post with your content)Discuss elements and environment necessary for optimal growth of the microbeDiscuss 2 factors that can limit or prevent microbial growth and discuss specific actions you would take to prevent or decrease contamination.Provide at least one APA formatted reference for your information.Make certain that your post is well-written, grammatically correct, and provides the bullet points listed.

Explain how these methods and sources would influence the completeness of case identification as well as the case definition/diagnostic criteria used.

Descriptive epidemiology deals with describing disease patterns using three major categories: person, place, or time (Friis & Sellers, 2021).Consider the following exampleOver the last weekend, six people went to the Alcan City Hospital emergency room with similar symptoms. The laboratory results for the six patients were indicative of an infection due to Escherichia coli (E. coli). Patient interviews revealed they had all eaten a meal at Sam’s Sandwich Food Truck during the Alcan City Fair within 48 hours of going to the hospital. Further inquiries by the Alcan City public health officials identified that the source of the E. coli contamination was the lettuce that Sam’s had purchased from M&L Produce (a produce supplier located in Tempe, Arizona). Epidemiologists from the Arizona State Health Department determined that the lettuce that M&L supplied Sam’s was from a farm located in Xion, California (the key supplier for M&L Produce).Aside from the six patients who sought treatment, epidemiologists tracked down and conducted interviews with 400 of the fair attendees to identify any potential cases who did not seek treatment and compare data with those who attended but did not become ill. Interview questions pertained to descriptive aspects of the outbreak (person, place, and time). Analysis of data collected on foods eaten allowed the epidemiologists to narrow it down and identify sandwiches served by Sam’s Sandwich Food Truck at the fair on Saturday as the source of infection. Alcan City public health officials were quick to visit the food truck to inquire into their food management and handling. The food truck owner was cooperative and helpful in providing licensing, permits, operations, and sales information.Descriptive epidemiologic studies are often conducted as precursors to analytic studies. Epidemiologic concepts are used to gather data to better understand and evaluate health trends in populations. Data, such as characteristics of the persons affected, place where an incident occurred, and time of occurrence, are collected and analyzed to look for patterns in an effort to identify emerging health problems. It was in just this way that the HIV/AIDS epidemic was first identified.In this Discussion, you will apply the epidemiologic concepts of time, place, and person to a specific population health problem. You will also consider methods for obtaining data to study an issue.To prepare:Examine Table 2.2 in your Curley textbook. Select a topic from the table to use for this Discussion.Locate two scholarly articles that provide background information about the problem.Identify a specific population affected by your selected health problem.Research the patternsof the disease in your selected population using the epidemiologic characteristics of person, place, and time.Consider methods for obtaining data to examine the association you selected.Ask yourself: How would the methods I select influence the accuracy of case identification, definition, and diagnosis?By Day 3 of Week 2Posta cohesive response that addresses the following:Describe your selected health problem using the epidemiologic model (person, place, and time), with a focus on the population affected by this problem.Discuss sampling methods you could use to collect primary data to describe and study your health problem.Identify two secondary data sources that you could use to collect the data needed to address this topic.Explain how these methods and sources would influence the completeness of case identification as well as the case definition/diagnostic criteria used.

Calculate the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less.

Last year Marion Dairies decided to enter the yogurt market, and it began cautiously by producing, distributing, and marketing a single flavor—a blueberry-flavored yogurt that it calls Blugurt. The company’s initial venture into the yogurt market has been very successful; sales of Blugurt are higher than expected, and consumers’ ratings of the product have a mean of 80 and a standard deviation of 25 on a 100-point scale for which 100 is the most favorable score and zero is the least favorable score. Past experience has also shown Marion Dairies that a consumer who rates one of its products with a score greater than 75 on this scale will consider purchasing the product, and a score of 75 or less indicates the consumer will not consider purchasing the product.Emboldened by the success and popularity of its blueberry-flavored yogurt, Marion Dairies management is now considering the introduction of a second flavor. Marion’s marketing department is pressing to extend the product line through the introduction of a strawberry-flavored yogurt that would be called Strawgurt, but senior managers are concerned about whether or not Strawgurt will increase Marion’s market share by appealing to potential customers who do not like Blugurt. That is, the goal in offering the new product is to increase Marion’s market share rather than cannibalize existing sales of Blugurt. The marketing department has proposed giving tastes of both Blugurt and Strawgurt to a simple random sample of 50 customers and asking each of them to rate the two flavors of yogurt on the 100-point scale. If the mean score given to Blugurt by this sample of consumers is 75 or less, Marion’s senior management believes the sample can be used to assess whether Strawgurt will appeal to potential customers who do not like Blugurt.Managerial ReportPrepare a managerial report that addresses the following issues.Calculate the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less.If the Marketing Department increases the sample size to 150, what is the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less?Explain to Marion Dairies senior management why the probability that the mean score of Blugurt for a random sample of Marion Dairies customers will be 75 or less is different for samples of 50 and 150 Marion Dairies customers.DiscussionInitial post prompt: Your Managerial Report serves as your initial post to the discussion forum.After responding to the requirements posed by the Managerial Report, also provide an example in your career in which you believe one of the lessons learned from the Case has been/could be applicable. Alternatively, if you don’t have/foresee direct experience relevant to your current position, what type of scenario can you anticipate occurring where you can utilize one of the lessons learned from examining this case?Response post prompt:Consider Managerial Reports posted by two of your peers. One or both of your responses may be to Managerial Reports for a case problem different from your own.Think critically and ask open-ended questions. If you agree, consider their position and expand upon their ideas. Provide an additional perspective. If you disagree, provide your reasoning. Always be professional and courteous in your responses.Post by classmate 1I find it interesting that the senior management at Marion Dairies has chosen to have their sample be defined by someone who doesn’t like their blueberry yogurt. I understand that they want to expand their market; however, the logic they are choosing seems flawed and likely to cause nonsampling error because negative opinion of one flavor or one product may bias the result of the strawberry sampling.Another potential for nonsampling error that I noticed was surrounding the names of the yogurt flavors. In my opinion the name Blugurt was cute for about two seconds, and then it seems to be something I do not want associated with my food which has the potential to become a marketing nightmare. The name Strawgurt is even worse. I would strongly suggest the sampling to be a blind study where the subjects of the sample are not aware of the names of the yogurt because that could possibly cause unintended nonsampling error if the subject has a particular opinion regarding the name of the yogurt. According to our text, nonsampling error can introduce bias into the sample results which can ultimately mislead the decision makers (Anderson et al, 2020).Alas, that is not what we are here to talk about this evening! First we are asked to calculate the probability that the mean score of Blugurt given by a simple random sample will be 75 or less on a scale of 0 to 100. In order to calculate this probability, I calculated the z value as -1.4142 and used the standard normal distribution table to find the probability of 0.07865. I did the same with an increased sample size of 150 and found the probability to be 0.007153.While the mean remains the same, the increase in sample size causes the standard error to decrease thus impacting the probabilities. Our text also mentioned that the decrease in standard error suggests that the data from a larger sample size becomes more reliable.Anderson, D., Williams, T., Cochran, J., Sweeney, D., Camm, J., Fry, M., & OhlmannB, J. (2020).Modern business statistics with Microsoft Excel(7th ed.). Boston, MA: Cengage.Post by classmate 2For this week’s discussion, I chose case problem 1 from chapter 7: Marion Dairies. In this case study, Marion Dairies’ management and marketing team want to analyze a sample of 50 customers to gain insight on the success of their new yogurt flavor, Blugurt. Customers were asked to rank the flavor on a 100-point scale (0 being least favorable and 100 being the most favorable). A score of 75 or less is believed to indicate that a consumer will not consider purchasing the product. For this case, we are provided with a mean score of 80, a standard deviation of 25, and two varying sample sizes to compare (50 and 150). For this simple random sample, we look to analyze the distribution of the sample mean, specifically the probability of the mean occurring at or below a customer rank of 75. Because the population of customers purchasing yogurt is infinite, we can dismiss the application of the population correction factor and simplify the calculation of the standard error to the standard deviation (25) divided by the square root of the sample size (either 50 or 150) (Anderson 2021). Furthermore, given that the sample sizes both exceed 30, general statistical practice ensures that we are observing a normal or near normal distribution, as implied by the rules of the Central Limit Theorem (Anderson 2021). Below is a summary of findings outlined in the managerial report synopsis. Attached is an Excel file to illustrate the findings.Calculate the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less:The probability of the sample mean being 75 or less for Blugurt with a sample size of 50 is 0.07865 or approximately 7.9%. This is demonstrated in the first tab of the attached Excel file and is represented by finding the z value from the population sample of 50. This is calculated by first finding the standard error, represented by the standard deviation divided by the square root of the sample population (3.536) (Anderson 2021). Then the z value is found by subtracting the mean from the target value of 75 and dividing that sum by the standard error (-1.414) (Anderson 2021). By obtaining the z value, excel function (NORM.DIST) can be used to calculate the cumulative probability (area to the left of z = -1.414) which provides the probability that the sample mean will be less than 75 (0.07865 or approx. 7.9%) (Anderson 2021).If the Marketing Department increases the sample size to 150, what is the probability the mean score of Blugurt given by the simple random sample of Marion Dairies customers will be 75 or less?:The probability of the sample mean being 75 or less for Blugurt with a sample size of 150 is 0.00715 or approximately 0.7%. This is demonstrated in the second tab of the attached Excel file and is calculated in the same way as before. The standard error (2.041) from the standard deviation divided by the square root of the sample population, then the z value by subtracting the mean from the target value of 75 and dividing that sum by the standard error (-2.449) (Anderson 2021). Similarly, by obtaining the z value, excel function (NORM.DIST) is used to calculate the cumulative probability (area to the left of z = -2.449) which provides the probability that the sample mean will be less than 75 for a sample of 150 (0.00715 or appox. 0.7%) (Anderson 2021).Explain to Marion Dairies senior management why the probability that the mean score of Blugurt for a random sample of Marion Dairies customers will be 75 or less is different for samples of 50 and 150 Marion Dairies customers:The reason that the probability varies with the sample size is because the standard error of the mean is affected by changes to the sample size (Anderson 2021). Whenever the sample size is increased, we are accounting for more data and therefore receiving values with less variation and that are more closely representing the population mean (Anderson 2021). As demonstrated above, the sample size increase reduces the standard error and therefore reduces variation in the values collected. Given that the probability and variability decreased with a larger sample, it is safe to assume that there is evidence that the population favors Blugurt and is likely to purchase this product. A similar simple random sample would also be beneficial for gathering point estimations and statistical inference on customers’ views on Strawgurt. By comparing the data collected on both flavors, management can evaluate preference for one or the other and potentially identify if Strawgurt offers another favorable option for customers and hence strengthens their market share, or if it would indeed cannibalize the existing favor for Blugurt and have offsetting outcomes.I personally have not used sample probabilities to make statistical inference on larger populations however, I think that this is a useful tool and concept to understand so that it can be applied to a situation where information is needed for a population that is too large to fully observe. Patient satisfaction is an important metric in evaluating our clinic’s likelihood to recommend and this would be a useful tool to experiment with when we offer a new service such as telemedicine or reservation options within our service line. Since the entire population cannot be surveyed, data gathered on a random sample could provide meaningful insight into the success of changes to our business model.References:Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., Cochran, J. J., (2021). Modern Business Statistics with Microsoft Office Excel (7th ed.)

Contrast some strategies operations managers use to manage scheduling.

The operations manager has a planning team that focuses on managing the resources (labor, machines, etc.) and must find creative ways to balance the priorities and capacity or what should be done first and who should do it of the operation. Planners must work closely with manufacturing, customer service, shipping, and engineering to ensure the operation makes the right product, for the right customer without exceeding production capacity and still meeting the delivery dates of the customers. Discuss some of the challenges and solutions planners deal with to keep resources costs (labor, machines) and deliveries balanced and still meet the customer delivery expectations.Contrastsome strategies operations managers use to manage scheduling.

How do you see this verse applying to the attackers’ attempts at social engineering?

During the COVID-19 stay-at-home requirements, many people worked from home. To carry on business, companies utilized various web-based meeting tools (such as Zoom). Some of these tools lacked robust security. A company, being proactive, sought to assure security against those attempting to take over such sessions.In Christianity, God brings to mind those things we need to ensure protection against, including issues related to computer security. We again look to the word of God for Scripture that tells us that safety can be found in the Lord. Psalm 140:4says, “Keep me safe, Lord, from the hands of the wicked; protect me from the violent, who devise ways to trip my feet” (NIV). We find in the Bible the admonition to seek the Lord in our activities as protection from those that would trick us.Review the material in the Getting Started section, including the specific Bible passage.Be sure to address to the following prompts in your paper:How do you see this verse applying to the attackers’ attempts at social engineering?How would you apply the principles of these verses in your workplace?Your paper should be at least 250 words in length.Submit your assignment by the end of the workshop.

Determine the linear correlation and regression equation between two variables to make predictions for the dependent variable.

CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the dependent variable.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation usingras the test statisticYou are given aspreadsheetthat contains the following information:Magnitude measured on the Richter scaleDepth in kmDeliverable 6 – Analysis with Correlation and Regression.xlsxUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1:Title slideSlide 2:Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4:Find the value of the linear correlation coefficientrand the critical value ofrusing ? = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6:Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7:Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8:Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.

Identify the variables being measured in each survey and explain which measure of central tendency you will select to use and why

With the information of the two studiesIdentify the variables being measured in each survey and explain which measure of central tendency you will select to use and whyWrite the results for study I and extrapolate to the COVID19 vaccination information in Florida State.

prepare an evaluation of your potential academic skill sets to be gained through the MHA program in a minimum of 500 words.

Using Word, prepare an evaluation of your potential academic skill sets to be gained through the MHA program in a minimum of 500 words.Access and complete the ACHE Self-Assessment in order to identify your competence level with various health care concepts and tasks.Analyze your strengths and weaknesses in relation to the skill sets required for your current position and a position you would like to attain.Describe your current position and the position to which you aspire.List the skill sets required for these positions.Explore the courses you will be taking within the MHA program.Choose 3 courses that you believe will provide additional skill sets to help you be more successful in your current position as well as prepare you for your desired position.Describe how you believe those courses will help you add those skill sets to help perform more successfully in your current position and prepare you for a position with more responsibility.

Distinguish between moral distress, burnout and compassion fatigue.

Moral Distress for NursingMany nurses are very concerned about what lies in the future of their careers. Each generation has their challenges, but this generation will probably always remember COVID-19. As nurses, we had to reflect on what happened during those days and we needed to soul search because of what we had to confront as nurses. Some of you are on the front lines of this pandemic taking care of patients that are affected.Instructions:Go to the American Association of Critical-Care Nurses (AACN)website and read about moral distress. https://www.aacn.org/clinical-resources/moral-distress)Please share a couple of experiences that you may have had or that you may imagine that you would have caring for a patient with COVID-19Example: It really disturbs me that a person that is dying cannot communicate with their family. As a proponent of palliative care and hospice and all the ideas connected to this I am adamantly against any person going through the dying process without family present. This has really disturbed me to the point that I am personally dealing with feelings of distress that I cannot come up with an answer.Distinguish between moral distress, burnout and compassion fatigue. Classify the example that is given above.Read the AACN Position Statement: Moral Distress in Times of Crisis. https://www.aacn.org/policy-and-advocacy/aacn-position-statement-moral-distress-in-times-of-crisis Comment on the AACN Position Statement. Do you believe the same things about moral distress. What do you believe?Your post should:Answer the questions as thoroughly and concisely as possible.Be sure to reference any works that you utilize in answering the questions (Be sure that references are in APA format).

According to the case presented, including the clinical manifestations and microscopic examination of the vaginal discharge, what is the most probably diagnosis for Ms. P.C.?

Urinary Function:Mr. J.R. is a 73-year-old man, who was admitted to the hospital with clinical manifestations of gastroenteritis and possible renal injury. The patient’s chief complaints are fever, nausea with vomiting and diarrhea for 48 hours, weakness, dizziness, and a bothersome metallic taste in the mouth. The patient is pale and sweaty. He had been well until two days ago, when he began to experience severe nausea several hours after eating two burritos for supper. The burritos had been ordered from a local fast-food restaurant. The nausea persisted and he vomited twice with some relief. As the evening progressed, he continued to feel “very bad” and took some Pepto-Bismol to help settle his stomach. Soon thereafter, he began to feel achy and warm. His temperature at the time was 100. 5°F. He has continued to experience nausea, vomiting, and a fever. He has not been able to tolerate any solid foods or liquids. Since yesterday, he has had 5–6 watery bowel movements. He has not noticed any blood in the stools. His wife brought him to the ER because he was becoming weak and dizzy when he tried to stand up. His wife denies any recent travel, use of antibiotics, laxatives, or excessive caffeine, or that her husband has an eating disorder.The attending physician is thinking that Mr. J.R. has developed an Acute Kidney Injury (AKI). Analyzing the case presented name the possible types of Acute Kidney Injury. Link the clinical manifestations described to the different types of Acute Kidney injury.Create a list of risk factors the patient might have and explain why.Unfortunately, the damage on J.R. kidney became irreversible and he is now diagnosed with Chronic kidney disease. Please describe the complications that the patient might have on his Hematologic system (Coagulopathy and Anemia) and the pathophysiologic mechanisms involved.Reproductive Function:Ms. P.C. is a 19-year-old white female who reports a 2-day history of lower abdominal pain, nausea, emesis and a heavy, malodorous vaginal discharge. She states that she is single, heterosexual, and that she has been sexually active with only one partner for the past eight months. She has no previous history of genitourinary infections or sexually transmitted diseases. She denies IV drug use. Her LMP ended three days ago. Her last intercourse (vaginal) was eight days ago and she states that they did not use a condom. She admits to unprotected sex “every once in a while.” She noted an abnormal vaginal discharge yesterday and she describes it as “thick, greenish-yellow in color, and very smelly.” She denies both oral and rectal intercourse. She does not know if her partner has had a recent genitourinary tract infection, “because he has been away on business for five days.Microscopic Examination of Vaginal Discharge(-) yeast or hyphae(-) flagellated microbes(+) white blood cells(+) gram-negative intracellular diplococciCase Study QuestionsAccording to the case presented, including the clinical manifestations and microscopic examination of the vaginal discharge, what is the most probably diagnosis for Ms. P.C.? Support your answer and explain why you get to that diagnosis.Based on the vaginal discharged described and the microscopic examination of the sample could you suggest which would be the microorganism involved?Name the criteria you would use to recommend hospitalization for this patientSubmission Instructions:You must complete both case studies. DO NOT INCLUDE THE WHOLE QUESTION AS HEADING BC PLAGIARISM COMES VERY HIGH, JUST MAIN TERMS.Your initial post should be at least500 words per case study, formatted and cited in current APA 7 edition style with support from at least 3 academic sources (books or journal articles from 2017 up to now). No websites as references allowed. Include doi, page numbers, etc. Plagiarism must be less than 10%

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