Physical Fitness and Nutrition Worksheet - 854 Words

University of Phoenix Material Physical Fitness and Nutrition Worksheet To obtain optimal health, it is critical to be physically fit and eat a healthy and balanced diet. Becoming knowledgeable about what it means to be physically fit and learning how to evaluate the nutritional value of what you eat may greatly increase your ability to improve your health and wellness. In this three-part worksheet, you identify the five components of health-related fitness, critique a recipe for nutritional value, and respond to two short answer questions about nutrition. Completing this assignment is a step towards gaining the knowledge needed to better manage your physical fitness and nutrition. Part 1: Five Components of Health Related†¦show more content†¦5. How could the recipe be altered to include more essential nutrients? More nutrients can be included if the person wished it, but honestly I cant think or see of any other nutrients that are needed with this dish. 6. Do you consider this a healthy meal? If not, what is a healthy alternative? Yes, I do consider this a healthy meal. Part 3: Nutrition Questions Respond to the following questions in 75 to 125 words each: 1. Do you find it easy or difficult to determine the nutritional value of food? What are some methods to help you more easily determine the nutritional values of food? This dish it was kind of difficult to determine the nutritional values. What threw me off was the calcium portion. I had to use the internet to figure out that parsley was where the calcium came from. Before today I had no idea that parsley was another source of calcium. The onion also, was something I was unaware of that had vitamin C in it. I was always told by physical education teachers that it was just good for the heart, nothing else. 2. What environmental, economic, and psychosocial factors influenced your food and drink choices today? There was a dinner party I was invited to a few weeks ago by some close friends. This happened to be what they had served that night. I always knew that my friends were health nuts and always watched what they had eaten. I was convinced that they were straight vegans and did not consume any type ofShow MoreRelatedPhysical Fitness and Nutrition Worksheet Essay826 Words   |  4 PagesAssociate Level Material Physical Fitness and Nutrition Worksheet In order to obtain optimal health, it is critical to be physically fit and eat a healthy and balanced diet. Becoming knowledgeable about what it means to be physically fit and learning how to evaluate the nutritional value of what you eat may greatly increase your ability to improve your health and wellness. In this three-part worksheet, you identify the five components of health related fitness, critique a recipe for nutritionalRead MoreHealth and Nutrition Essay3549 Words   |  15 Pages | | |SCI/220 Version 7 | | |Human Nutrition | | |Group ID: NGEL12-3 | | Read MoreSci 220 Week 11728 Words   |  7 PagesNutrition and Health Worksheet 1. What is nutrition? Why is nutrition essential to our daily lives? | Nutrition is defined â€Å"as the science that links foods to health and disease. â€Å" Nutrition is also called nourishment that provides food for support of life. Nutrition involves the process of humans ingesting, digesting, absorbing, and excreting food substances.Food provides energy in the form of calories needed to maintain all body cells. 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Insufficient Calories Consumed The human body requires a MINIMUM of 1200 calories per day to function. If you consume less than that (on a crash diet for example), your bodyRead MoreHcs120r1 Week 2 Terms Worksheet 1 FINAL2219 Words   |  9 PagesUniversity of Phoenix Material Weekly Vocabulary Exercise: Health Care Structures and Divisions Complete the worksheet according to the following guidelines: In the space provided, write each term’s definition as used in health care. You must define the term in your words; do not simply copy the definition from a textbook. In the space provided after each term’s definition, provide a sentence that illustrates the importance of the skill, concept, procedure, organization, or tool to which the termRead MoreThe Building Blocks Of Learning2408 Words   |  10 PagesExcellence; fitness and nutrition are emphasized. 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Why is nutrition essential to our daily lives? | Wardlaw, Smith (2011) states that Nutrition involves a combination of food intake, in which theRead MoreSSD2 Module 3 Notes22142 Words   |  89 Pagesduring training at home station. 6. TRAIN FUNDAMENTAL FIRST Fundamentals include: basic soldiering, the warrior tasks, battle drills, marksmanship, fitness, and military occupational specialty skills Focus training on individual and small-unit skills Fundamentals typically cover basic soldiering, the warrior tasks, battle drills, marksmanship, fitness, and military occupational specialty skills. 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Why Students Take Out Loans And Wilson - 1941 Words

I owe $40,000, I owe $60,000, I owe $100,000. Isn’t that a lot of money for one person to owe? Graduates have been faced with a serious problem brought about by the constant borrowing of money to gain a reputable education. The debt of loans varies from person to person but the extreme amounts that individuals owe is something the media finds worth gossiping about. Little does the public know, in reality, all the commotion and conversation about these debts are not accountable for the majority of college borrowers. According to A Lifetime of Student Debt? Not Likely by Robin Wilson, she intrigues her targeted college audience by giving examples and providing awareness that most individuals are paying back their students loans within a timely manner with just a few sacrifices. Wilson emphasizes that the real reason individuals have an outstanding debt is because â€Å"they are determined to attend their dream college, no matter the cost† (257). There are various reasons why students take out loans and Wilson is determined to clear up the confusion of student debt, she encourages college students to take out loans even with media’s negativity, and lastly she tries to enlighten this targeted college group that debts are repayable with additional sacrifices but in the end, that debt was the best decision they have ever made. The majority of individuals overhear media and see newspapers headlining the outrageous student loan stories. â€Å"Is it going to be the careful story driven by theShow MoreRelatedCareer Path Of Higher Education888 Words   |  4 Pagesinterest is the key. If the student decides they want to follow the trail of higher education, they will need the money or will take out loans. A higher education these days is getting more and more expensive. Finding a job right out of college with their degree is difficult for many students. 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Bird coun teracts this education ideal by providing an example of a student going to college and not findingRead MoreEssay about College as the Pathway to the American Dream2371 Words   |  10 Pagesobtaining the American Dream, primarily because receiving a higher level of education tends to lead to a higher paying job and furthermore a financially stable future. However, this isn’t always the case due to an increase in the need for students to take out loans and increase their debt in order to afford college expenses. College = Career Readiness Over the past few years, people have begun to see going to college as a way to achieve the American Dream through career-readiness. People used toRead MoreEssay on Are Colleges Worth the Price of Admission?4197 Words   |  17 Pagescareer field at vocational schools. 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They do not have to put him on child support to receive government help or get Medicaid. They do not get

Ethics for Big Data and Analytics

Questions: 1. Big Data is just another form of Data Warehousing Discuss2. NoSQL is rapidly becoming one of the most popular platforms for Big Data. Explain how the platform works and what its key differences to the RDMBS are.3. What are the legal, regulatory and moral implications of deploying Big Data systems? Answers: 1. Big Data is just another form of Data Warehousing Big Data is the buzzword in the present world of technology. However, the essential meaning of Big Data is often not clear and is misinterpreted many times. Big Data is a concept and technology that provides solutions to hold, store and process the huge chunks of data which may be structured or unstructured in nature. Data Warehousing (DW) on the other hand, is the central repository of data that is made up of data collected from a number of different sources which may be internet or external in nature with respect to an organization (www.tcs.com, 2016). Technocrats often argue that Big Data is another form of Data Warehousing. Although, there are a number of similarities between the two, but the two concepts are completely different in terms of application, need and components. Both, Big Data and Data Warehousing work on the data that is collected from a number of sources; there are many differences between the two. Big Data solutions is demanded by the organizations to handle massive volumes of data and to come up with better decisions, more revenue, more profits and increased number of customers. Data Warehousing, on the other hand, is needed by the organizations to make informed decisions. It helps in making the data available with the organization more reliable and accessible (Inmon, 2016). The basic difference between Big Data and Data Warehousing is that the former is a technology and the latter is architecture. The preferred applications for Big Data include the areas wherein discovery of unexplored business questions is demanded. Big data technologies have the features that enable the organization to make lightening fast pattern recognitions that aid in this area. Data warehouses can also accomplish the task but are not optimal solutions for the same as they involve relational databases and corresponding SQL languages. Raw and unstructured data can also be easily stored with the help of Big Data technologies. Data warehouses mainly deal with the aggregated form of data. Big Data offers extensive environment for the explorations of structured and unstructured form of data. Whereas, in case of data warehousing, the task will take more time and will be a lot more complex. There are many areas where data warehouses score more than the Big Data. These include operations wherein high data quality is demanded by the organizations. Data warehouse has integrated built in solutions for making the clean, consistent and high quality data available for analytics. Data warehousing also wins the race when the organizations demand low latency and interactive reports in the task of OLAP. There are similar and alternative solutions under Big Data technologies as well for the task but currently data warehousing is way ahead in this area of work (Dull, 2013). Another key different between the two is that data warehousing is generally implemented in the structures of single relational database systems that act as the central repository, Big Data technologies such as Hadoop on the other hand are created to span multiple machines simultaneously. 2. NoSQL is rapidly becoming one of the most popular platforms for Big Data. Explain how the platform works and what its key differences to the RDMBS are. NoSQL is a database environment that is non-relational in nature and is used to handle and store huge volumes of data. It is often referred to as cloud database or Big Data database environment. There are a number of NoSQL database types such as graph database, key value store, column store and document database (www.planetcassandra.org, 2014). NoSQL databases work on large quantities of structured, un-structured and semi-structured data. The insertion of data in the NoSQL database environment is done without the need of a pre-defined schema. They automatically spread the data over a large number of servers that are available without requiring the need of the application to be aware of the same. They support automatic database replication in the events of a disaster or attack. They work by offering integrated caching capabilities for workloads that demand high throughput and low latency. Most of the NoSQL databases that are available are open source in nature that is, they are available for free of cost and can be easily installed. They can be downloaded, implemented and also scaled for better which involves a negligible cost for the organization. MongoDB. Neo4J, HBase, Riak and Cassandra are some of the popular NoSQL databases (www.mongodb.com, 2016). There are a number of differences between NoSQL databases and RDBMS. Elastic scaling is one of the prime demands out of databases in the present scenario. NoSQL databases have the ability to expand transparently with low cost commodity hardware which is not possible or rather extremely difficult in case of RDBMS. NoSQL databases are designed to handle the Big Data as they have specifically been designed for the task. RDBMS, on the other hand has been working towards achieving the same capability but there is still a long way to go looking at the constraints that come up with data volumes in an RDBMS environment. There is a bare minimum requirement of database administrators in case of NoSQL databases. Features such as automatic repair of the data, simpler data distribution and non-complex data models allow bringing down the requirement of DBA. On the other hand, RDBMS require skilled and highly experience database administrators. Absence of DBA in case of RDBMS can lead to significan t issues related to the databases as DBAs are involved in every single phase such as design, installation and handling of the database. NoSQL databases are extremely cost effective in nature as they make use of cheap commodity servers to handle, manage and store the data. The case is not the same in view of relational database systems as they rely on expensive storage and proprietary systems. Cost per gigabyte for NoSQL is way lesser than the same for RDBMS. Data model restrictions between NoSQL and relational database systems are also very different. NoSQL databases have extremely flexible data models as they allow virtual storage of any data structure in the form of data elements. Relational database systems on the other hand make change management as a big headache and may necessitate downtime or reduced service levels (Harrison, 2010). 3. What are the legal, regulatory and moral implications of deploying Big Data systems? Big Data deals with huge chunks of data on a daily basis. It is due to this reason that there are a number of legal, regulatory and moral implications that are involved with the deployment of Big Data Systems. Privacy is one of the biggest legal challenges that are associated with Big Data. It is essential for the organizations to maintain the privacy of all the information that the organization deals with. Notice/awareness is another legal principle that needs to fulfill at all times. It is necessary to fulfill the guideline of notification and mindfulness, the information subject from whom information will be gathered must be made mindful of the utilizations to which his or her own data will be put, and to whom such individual data will be revealed. There may be certain cases wherein the consumer may find it okay to use his/her personal information by a third party without his/her consent. However, the same must be enclosed in the form of a legal document so that there are no legal implications in future. Access and participation is another area that emerges as a major legal implication in the case of Big Data. Access to a particular piece of data cannot be granted to all the user types. Every data piece must have a clearly and legally defined list of users who are allowed to access the same. Another legal implication involved with Big Data is Do not target/Do not collect. The data that is collected from a number of different sources must not be used for target advertising without the presence of legally defined terms and conditions associated with the same (Navetta, 2016). There are also a number of regulatory implications that are associated with Big Data. The existing regulatory policies that are already defined for a particular organization may hamper the ability to collect data from a certain set of sources. If such policies are not closely paid attention to then there may be a number of serious regulatory implications on the organization. There may be charges of disclosure or identity theft levied on the organization if the legal and regulatory policies are not met by the same (Higgins, 2016). Ethical implications are also involved with the use and application of Big Data solutions. As per the ethics for Big Data and analytics, context of the data must be clearly defined and understood by one and all. There must be no confusions regarding the purpose of the data. Consent and choice are equally important for Big Data as it is important to understand what the associated parties are agreeing to. The data and the relationships that exist between the sets of data must also be reasonable in nature. There must also be substantiated sources of data that are used for the collection of Big Data. The sources must also be appropriate and authoritative. The access that is given to the data subject must also be ethically correct and defined accurately. One of the prime ethical implications also includes the accountability of the data and the way the mistakes and consequences are repaired and handled (Chessell, 2016). References Chessell, M. (2016). Ethics for big data and analytics. [online] Available at: https://www.ibmbigdatahub.com/sites/default/files/whitepapers_reports_file/TCG%20Study%20Report%20-%20Ethics%20for%20BD%26A.pdf [Accessed 8 Aug. 2016]. Dull, T. (2013). The 5 Ws: When should we use big data vs. data warehousing technologies?. [online] The Cyberista Says. Available at: https://tamaradull.com/2013/03/20/the-5-ws-when-should-we-use-big-data-vs-data-warehousing-technologies/ [Accessed 8 Aug. 2016]. Hadjigeorgiou, C. (2013). [online] Available at: https://static.ph.ed.ac.uk/dissertations/hpc-msc/2012-2013/RDBMS%20vs%20NoSQL%20-%20Performance%20and%20Scaling%20Comparison.pdf [Accessed 8 Aug. 2016]. Harrison, G. (2010). 10 things you should know about NoSQL databases - TechRepublic. [online] TechRepublic. Available at: https://www.techrepublic.com/blog/10-things/10-things-you-should-know-about-nosql-databases/ [Accessed 8 Aug. 2016]. Higgins, J. (2016). FTC Issues Regulatory Warning on Big Data Use. [online] Ecommercetimes.com. Available at: https://www.ecommercetimes.com/story/83004.html [Accessed 8 Aug. 2016]. Inmon, B. (2016). Big Data Implementation vs. Data Warehousing by Bill Inmon - BeyeNETWORK. [online] B-eye-network.com. Available at: https://www.b-eye-network.com/view/17017 [Accessed 8 Aug. 2016]. Navetta, D. (2016). Legal Implications of Big Data. [online] Available at: https://c.ymcdn.com/sites/www.issa.org/resource/resmgr/journalpdfs/feature0313.pdf [Accessed 8 Aug. 2016]. www.mongodb.com, (2016). NoSQL Databases Explained. [online] MongoDB. Available at: https://www.mongodb.com/nosql-explained [Accessed 8 Aug. 2016]. www.planetcassandra.org, (2014). NoSQL Databases Defined Explained. [online] Planet Cassandra. Available at: https://www.planetcassandra.org/what-is-nosql/ [Accessed 8 Aug. 2016]. www.tcs.com, (2016). Big Data for Data Warehousing. [online] Available at: https://www.tcs.com/SiteCollectionDocuments/White-Papers/BFS-Whitepaper-Big-Data-Warehousing-0313-1.pdf [Accessed 8 Aug. 2016].

Notes of a mad optimist. Autobiography Review Essay Example

Notes of a mad optimist. Autobiography Review Paper Essay on Notes of a mad optimist. Autobiography I try to find at least one review of the book Darya Dontsova on the site and have not found. But the mention of this woman and her books have been enough. Unpleasant: the book of the author read only the ladies of the host with limited intellect, detectives, they can not be named, vysokoideynymi books containing clever ideas also So there is in the imagination of the picture:. Intellectual with a small volume of Nietzsche in his hand, lecturing poor wife which (oh, horror!) I love Dontsovu. How is Nietzsche wrote: You go to women take a whip? The question arises: why intellectual marry such a girl. But getting married! There is a following picture. Cyprus. Sultry beach. Woman with a small volume of Borges. Man peeping over his shoulder, apparently wishing to meet. But then he read a few sentences from the book and slowly crawls away. It is far from home, lugging a suitcase where smart books have been lazy, I met with the novel Darya Series. Thin disheveled book left on retsepshen at the hotel. It seems that it was a pool of crocodiles. How I laughed! Since then, the media became interested in literature. It turned out, there are a number of authors working on this theme:. M.Chernyak, N.Kupina, M.Lotovskaya, N.Nikolina, etc. We will write a custom essay sample on Notes of a mad optimist. Autobiography Review specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on Notes of a mad optimist. Autobiography Review specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on Notes of a mad optimist. Autobiography Review specifically for you FOR ONLY $16.38 $13.9/page Hire Writer If the stars are lit, it means that it is necessary for someone. Detective. Many say that Dontsova immediately clear who committed the crime. But ancestors and female detective Agatha Christie too. I read two or three books and the logic of the investigation the following at a glance. And indeed A.Kristi wrote that a criminal must be sought in the immediate vicinity. But, like Agatha Christie, there is a certain atmosphere of the time, which is most often interesting detective intrigue. The moral and didactic novel. This is something incredibly annoying, especially some. Black and white is explained what is good and what is bad. Horror! But if the education system in the country is destroyed, it must be at least someone who will explain the truths. The ironic novel. Ironically Dontsova books direct, open, and partly rough. It is the same as in the usual jokes. And who does not like jokes ?! In each book there is a certain chip that runs through the entire novel, but directly related to the subject are not available. It is in this chip and focused since the humor of the book. Its a kangaroo in fins, the Ivan the Fool of the new Russian. The book advertising. How annoying! That one product advertised, then the other. For it and pay the selling writer! Yes? In other novels, vysokoideynyh and intelligent, this is not? I am not sure. Some works only on advertising and written. Others, such as ably describing the place in which the hero travels, just get a guide ( Factor wagon), named for the road. What I liked the autobiographical book Darya Dontsova? In it she says that does not pretend to enter the cohort of writers, intellectuals and fairly disclose the secrets of his skill. The Noahs Ark took not only elephants and hippos, and bedbugs and fleas too . Each flea is not bad, all the little black, all jump (Gorky)