Dietary Analysis

University of Kentucky The Concept of Hegemonic Masculinity Research Paper

University of Kentucky The Concept of Hegemonic Masculinity Research Paper.

Final exam: Essay questions.Please read through the questions carefully. You should have a total of three essays – see guidelines for length attached to each. Note that points are set aside for each of the articles/concepts to be discussed (that is, if you are asked to discuss three authors and only do two, you will lose points).Turn in all of the answers as a single document to the Canvas site.Make sure your essay has a clear overarching argument, and draws on specific evidence from the texts, not generalizations. Make sure your definitions are correct; try to explain concepts precisely in your own words. When you quote from an essay, set up what it means and then explain why it is relevant. Please proofread.Question 1: 15 points – at least 750 words.Is hegemonic masculinity a useful concept for understanding contemporary expressions of masculinity, or is it inadequate? Evaluate Chotiner’s interview with Peggy Orenstein in this context https://www.newyorker.com/news/q-and-a/can-masculinity-be-redeemed. What other theories of masculinity could replace or supplement the theory of hegemonic masculinity? [In other words, what other terms or concepts would help Orenstein’s argument, or better diagnose our world?] Your answer should include a discussion of Connell’s essay, and AT LEAST three of the following authors: Bridges and Pascoe, Messner, Randles, Bederman, Rios/Sarabia, Herdt, Mora, Ocampo; plus any other relevant course materials including films, videos or articles. Less is more when it comes to the number of authors – I would rather you discuss three authors and their concepts fully than add a whole lot whom you don’t discuss in detail.2. Question 2: 15 points – at least 750 words.What, in your opinion, is Obioma principally trying to show us about boyhood, family, religion and politics in 1980-1990s Nigeria in The Fishermen? Ground your argument in at least three pivotal scenes in the novel, and at least two of the characters. Draw on ANY THREE class readings on masculinity in your answer (– you might consider masculinity to be an important theme in the novel, or you might think the novel is not really about masculinity, so use the readings that reflect your point).3.Question 3: 10 points — at least 500 words.Briefly discuss Natterson’s argument in https://www.nytimes.com/2019/12/03/well/family/boys-puberty-silence-beauty-myth.html, including your reaction to the piece. Discuss whether her arguments are confirmed or contradicted by our class readings on masculinity and bodies – choose ANY TWO from Barber, Naher/Hossain, Summers, Pattanaik or Messner; additionally, discuss any one OTHER class reading/text, which best fits your perspective on Natterson’s argument.
University of Kentucky The Concept of Hegemonic Masculinity Research Paper

FNU Advance Pharmacology & the Healthcare System Recommendations Discussion

essay writer FNU Advance Pharmacology & the Healthcare System Recommendations Discussion.

Help me with the following case:
E.H. is a 45-year-old African American man who recently moved to the community from another state. He requests renewal of a prescription for a calcium channel blocker, prescribed by a physician in the former state. He is unemployed and lives with a woman, their son, and the woman’s 2 children. His past medical history is remarkable for asthma and six “heart attacks” that he claims occurred because of a 25-year history of drug use (primarily cocaine). He states that he used drugs as recently as 2 weeks ago. He does not have any prior medical records with him. He claims that he has been having occasional periods of chest pain. He is unable to report the duration or pattern of the pain. Before proceeding, explore the following questions: What further information would you need to diagnose angina (substantiate your answer)? What is the connection between cocaine use and angina? Identify at least three tests that you would order to diagnose angina.
Diagnosis: Angina
1. List specific goals of treatment for E.H.
2. What dietary and lifestyle changes should be recommended for this patient?
3. What drug therapy would you prescribe for E.H. and why?
4. How would you monitor for success in E.H.?
5. Describe one or two drug–drug or drug–food interactions for the selected agent.
6. List one or two adverse reactions for the selected agent that would cause you to change therapy.
7. What would be the choice for the second-line therapy?
8. Discuss specific patient education based on the prescribed first-line therapy.
9. What over-the-counter and/or alternative medications would be appropriate for E.H.?
FNU Advance Pharmacology & the Healthcare System Recommendations Discussion

AHS 6640 WU Administration of Human Services Contemporary Issues Presentation

AHS 6640 WU Administration of Human Services Contemporary Issues Presentation.

ORAL PRESENTATION:
You are being asked to complete a ‘Live Recorded’ presentation, based on your written project covered last week (note: written project is provided in the attachment below). The target population for this presentation is a potential partner and/or funder for your project.

Your oral presentation should include PowerPoint slides with voice over (audio) that cover the components of your project proposal.
Your oral presentation will be limited to 15 minutes.
Save your recording as a video, and upload the video with your written project.

PUBLIC SERVICE ANNOUNCEMENT: PART 2
In order to reach their desired service population, and to have the greatest impact on addressing human needs, there will be times when it is necessary for human service agencies to market their services. The basis for this assignment is to give students the experience of marketing social services, by compiling critical information about a social issue, in a succinct way.
You are expected to create an original commercial-like radio/TV spot, to bring public awareness to their issue.
Commercial-like Radio/TV Spot – you will need to determine your target audience (i.e. general public, special interest group, policy maker, population affected by the issue, etc.). Once you have identified your target audience, you should then proceed to creating your media.
You are to create a public service announcement (60 – 120 seconds) that brings awareness to the issue. In your announcement, you need to:

Define the issue (considering the trends and challenges of the issue (research).
Explain why it is important to be knowledgeable about the issue and what has been done about the issue.
Describe the population(s) who are affected by the issue.
Describe the population(s) that you serve, and what you plan to do about the issue.

AHS 6640 WU Administration of Human Services Contemporary Issues Presentation

Effect Of Moores Law In Technology

Scientific and technological innovation is advancing at an ever-increasing pace. This has never been as clear as in the last few decades, with the introduction of computers, medical advancement (and thus increasing life expectancy), new forms of energy, artificial intelligence,… Groundbreaking discoveries are virtually being made on daily basis. Never before human knowledge and abilities have been evolving at such a tremendous speed. This is due to many factors – the use of new technologies (from direct tools such as building machines to indirect innovations such as increased collaborative possibilities thanks to the internet, computer software,…), globalization (allowing more brainpower to collaborate on common projects), free markets and economic advances (boosting innovation as a way to create profit, but also giving a stable environment for decreasing risks on long term investments), social sciences (individualism driving people to try to get recognition by their intellectual or innovational inputs),… Although not every factor is equally contributing, and that not every factor continues to evolve (but on the other hand, new factors also come into existence), one can recognize a more or less stable exponential trend in innovation. One of the most famous and obvious examples is Moore’s Law, which forecasts that the number of transistors that can be placed for the same price on an integrated circuit is doubling every two years. Moore’s Law is no exception though – similar observations are being made on countless other subjects, such as the amount of nanotech science citations, magnetic data storage, etc. In general, we could say it took humankind thousands of years to invent the wheel, find out how to make fire, and where to find metal, whereas now scientific evolution is so fast that no single person can come anywhere near to even just have the time to read about every new advancement. When people make forecasts, they usually use linear trends, instead of these correct exponential ones. When in mathematics, one wants to calculate the slope of a random function, he can use derivates, which scopes on an infinitely small part of the graph, so that the graph can be considered to be linear. Based on the linear transformation, one can give a good approximation of the real value of the slope. But if one had to calculate the slope from a relatively big chunk of the graph, and use the linear transformation there, it would give a value that might be far away from the right one. Up to recently, investment projects of 10 years could be seen as a small amount of time in relation to scientific (and economic) progress, and therefore an easy, intuitive linear trend was an acceptable tool to use. But now we’re getting into the part of the graph where the rate of evolution is so steep, that in many sectors a linear trend might give a bad to very bad prognosis of future conditions, in a time lapse of 5 years to even just a few months. Therefore it’s important to learn to use exponential trends, if we want to make good business decisions. This paper analyzes the different trends and points to take into consideration when making future predictions, and will look into some business decisions to see whether companies take these trends into account; if yes, how, if not, what their (lost opportunity) cost might be. Research on Scientific Theories Introduction: A History of the Universe The focus of this paper is on modern day evolution; evolution which is happening at this very moment, and the implication of them. It might be interesting to take some distance first, and look at the universe, and how it evolved since its appearance into existence. Carl Sagan, a famed astronomer, created a “Cosmic Calendar” to offer a more comprehensive view on how the universe’s progress has happened. He asks the reader to imagine the entire history of the universe as if it had happened into a single year. In this scenario, on the 1st of January, there would be the Big Bang. Not much would happen until the formation of our solar system, which would take place on September the 9th. The earth itself wouldn’t show signs of life until November, where the first multicellular organisms start showing up. Dinosaurs would start walking around Christmas Eve, and humans would start walking straight at 9:24 PM of New Year’s Eve. The invention of agriculture wouldn’t come before 11:59:20 PM. Jesus Christ would be born at 11:59:56 PM. The Renaissance in Europe, which brings the emergence of the experimental method in science, would take place at 11:59:59 PM. And then there’s the last second. Most of the scientific inventions originate from that very last second; electricity, computers, cars, the printing press, the human genome project, nanotechnology, the internet,… This demonstrates that evolution with an exponential growth is by no means a new concept. It seems to be a very natural phenomenon at its core. Of course, one could argue that scientific (and technological) advancement is man-made – not a natural phenomenon at all, and therefore this theory cannot be extrapolated to future (man-made) evolution. On the other hand, one could argue that man-made inventions are nothing but a prolongation of natural evolution, and therefore, although it might not seem to be a “natural” process, in fact, it is. This discussion is at an almost philosophical level. In the next part of this chapter will analyze theories on (accelerating) evolution, based on solid foundations of contemporary trends in technology, economics, psychology and philosophy. Technological Theories Moore’s Law One of the most famous and prominent examples of accelerating returns is “Moore’s Law”, which describes a long-term trend in the history of computing hardware. Since the invention of the integrated circuit in 1958, the number of transistors that can be placed inexpensively on an integrated circuit of a fixed size has increased exponentially, doubling approximately every two years. Figure . Moore’s Law Kurzweil’s Law of Accelerating Returns Kurzweil’s “Law of Accelerating Returns” extends Moore’s law to describe an exponential growth of technological progress. Moore’s law describes an exponential growth pattern in the complexity of integrated semiconductor circuits only. Kurzweil extends this to include technologies from far before the integrated circuit to future forms of technology. Whenever a technology approaches some kind of a barrier, according to Kurzweil, a new technology will emerge to allow us to cross that barrier, which allows evolution to enter a new paradigm. He predicts that such paradigm shifts have and will continue to become increasingly common, leading to “technological change so rapid and profound it represents a rupture in the fabric of human history”. According to Kurzweil, Moore’s law of Integrated Circuits was not the first, but the fifth paradigm to forecast accelerating price-performance ratios of computing technology. Computing devices have thus been consistently multiplying in power (per unit of time) , not since the invention of integrated circuit, but from the mechanical calculating devices used in the 1890 U.S. Census, to Newman’s relay-based “Heath Robinson” machine that cracked the Nazi Lorenz cipher, to the CBS vacuum tube computer that predicted the election of Eisenhower, to the transistor-based machines used in the first space launches, to the integrated-circuit-based personal computer. Kurzweil’s point is that Moore’s Law could be applied not just to the integrated circuits, but to all of the five paradigms. Ever since the invention of the mechanical calculating devices of the late 19th century, the rate of acceleration at which calculating power per unit of price is available, is constant. According to Kurzweil, the next paradigm to follow the integrated circuit is a 3D structured chip; this is essentially the same technology as an integrated circuit, but instead of having silicon layers superposed on each other with an isolated layer between them, each layer will be intertwined, creating many more connections between the transistors individually, allowing it to reach speeds many time faster than what is possible today. Figure . Kurzweil’s extended Law of Moore Economic Theories Schumpeter’s Creative Destruction In “Capitalism, Socialism and Democracy”, Schumpeter used the term “Creative Destruction” to describe the process of transformation that accompanies radical innovation. According to him, innovative input by entrepreneurs was the force that sustained long-term economic growth, even as it destroyed the value of established companies and laborers that enjoyed some degree of monopolistic power derived from previous technological, organizational, regulatory, and economic paradigms. This means that if companies decide not to adopt new innovations, they will eventually get filtered out of the economy, giving place for companies who embrace new technologies. With this theory, Schumpeter was the first prominent economist to describe how economics and scientific progress go hand in hand, and how this progress is to be taken into account when making projections of how trends will evolve in the future. Wikinomics Tapscott introduces various new concepts, all revolving around mass collaboration in a business environment. The fundamental ideas that lay on the basis of his work are openness, peering, sharing and acting globally. These new concepts can only materialize when a company is in touch with its users and that the users can adapt and enrich the contents of the product in such a way that the product changes for everyone – even for those who already bought the product. The author believes that the mass collaboration in business environments are a logical continuation of the trend in business to outsource, which is to externalize functions to other business entities that were previously an internal function of the company. An important change that occurs when outsourcing is that what would otherwise be an entity specifically designed to fulfill a unique function, is now replaced by a collaboration of free agents that come together to cooperate and solve a problem. This system can, but must not, be incentivized by a reward system. Tapscott refers to this type of outsourcing as “Crowdsourcing”. The author also introduces new terms, such a “Prosumers” , which is a combination of the words “producer” and “consumer”. It’s a type of business model where users add value to the product by adding their own content. As an example, he describes how the users of Second Life are supposed to create their own avatar, their own house, etc. This is a mandatory process in the game, that enriches the diversity of it. The user-made creation doesn’t stop there; if the users feel like it, they can design furniture, clothing, services, and so on, and even sell them for real money in the digital environment. Another interesting trend he introduces is what he calls “Marketocracy” , which is a process obtained through a form of peering in a mutual fund. It works through the collective intelligence of the investment community, instead of the classical hierarchical fund management under the lead of a super star stock investor. Tascott also commented on “Coal’s Law”, which states that; “A firm will tend to expand until the cost of organizing an extra transaction within the firm become equal to the costs of carrying out the same transaction on the open market”. According to Tascott, due to the changing way the internet is being used (mostly thanks to the Web 2.0), which made that the cost of transaction dropped so significantly, the theorem should be inverted to: “A firm will tend to expand until the cost of carrying out an extra transaction on the open market become equal to the costs of organizing the same transaction within the firm”. The author believes the costs of communication have fallen so much, that companies who do not adapt to this new reality, and change their company structure accordingly, will disappear. Thus, only companies who use mass collaboration will survive, dixit Tascott. Behavioral Economics Origins Kahneman and Tversky could be seen as the founders of behavioral economics. They identified numerous common human logical errors using heuristics and biases . This relatively new science describes thus how classical economic theories were somehow always erroneous to a certain degree, by believing the human to be a rational being. In their paper “On the Psychology of Prediction”, Kahneman et al. explore the intuitive predictions made by humans for both category prediction and numerical prediction. In their findings, they argue that people, instead of using statistics, use a limited amount of heuristics to come to what are usually reasonable results, but are sometimes serious errors. People seem to make predictions based on the certitude of the given evidence. Sometimes representation coincides with likelihood, but often it has no correlation with reliability or likelihood of evidence. People often seem to think in terms of similarity, and not of statistical likelihood. People rely on description, and not on the level of predictability attached to them. In experiments, even when people were told that the qualitative description had either low or high predictability, it had little effect on their statistical considerations. In numerical prediction people also assume the descriptions are highly accurate, even when they’re told it’s not the case. People don’t succeed to regress or move the mean value when stated that the input data is very unreliable. Another human flaw is the human’s incapacity to think in exponential terms. Linear trends are easy to handle, but logarithmic ones seems somehow unnatural to the human brain, and therefore people tend to make very serious mistakes on predicting exponential outcomes. Techniques for correcting judgmental forecasting errors Goodwin