Saturday, May 16, 2020

Teen Suicide The Most Prized Award Winner - 842 Words

Teenage Suicide As an exceptional athlete, the most prized academic award winner, a proud brother and a loving son: recently a student of Northern California attempted Suicide. But why? He had it all. He had the grades, the athletic skills, the trophy the popularity, what made him so unhappy? Unfortunately this was based on his ethnicity, which so happened to be Hispanic. A minority student in a community that prided himself on the absence of over racial conflict. The racism of his peers had been very well hidden until his presence. It surfaced, and he lost his center.... Teen suicide has been gradually increasing over the past decade throughout our entire nation. The best and most efficient way to prevent teen suicide is to inform people of its existing threat and to teach people to look for warning signs. Teen suicide is an important issue because it threatens a myriad of lives that have so much great potential. To assist you in understanding the severity of this current issue, i will provide the following statistics about teen suicide, relations and examples, warning signs, and causes. Periods of anxiety or depression during adolescence are common and can be normal scientific reactions to loss or under unbearable amounts of stress. (quiet like the two romantic charact ers: Romeo and Juliet, of the book/Movie Romeo and Juliet) . But as teen s ability to think in abstract terms increase, so does the likelihood that he or she will reflect on many issues including theShow MoreRelatedEssay on Fall of Asclepius95354 Words   |  382 Pagesour understanding! Geez, there were many names given to these undead. Some called them demons, others called them lost souls. With all these names, I found only one that was truly worthy; Zombies. It was a simple word. At the same time it was the most complicated word to enter any human language. I mean just think about it... You say that word to anyone before the outbreak and what would they think of? They would, think of those horror movies or comic books where, for no reason what so ever, zombiesRead MoreDeveloping Management Skills404131 Words   |  1617 Pagesthe Introduction. Based on the positive feedback we’ve received from teachers and students we can state with confidence that the form of active learning pioneered in this book is a proven pedagogy for management skill mastery. Tips for Getting the Most Out of This Course Whether you are an undergraduate or MBA student, or an experienced manager, based on our years of teaching management skills here are some suggestions for making this course a personally meaningful learning experience. †¢ Read theRead MoreFundamentals of Hrm263904 Words   |  1056 Pages This online teaching and learning environment integrates the entire digital textbook with the most effective instructor and student resources With WileyPLUS: Students achieve concept mastery in a rich, structured environment that’s available 24/7 Instructors personalize and manage their course more effectively with assessment, assignments, grade tracking, and more manage time better study smarter save money From multiple study paths, to self-assessment, to a wealth of interactive visualRead MoreManagement Course: Mba−10 General Management215330 Words   |  862 PagesAmerican economy that is consumer-driven. Therefore, as companies again go back to the business basics, this is a reminder of the most fundamental of those basics: Company managers need to recognize that a business’s income comes from its customers, not from Wall Street. NEW LEADERSHIP AND NEW MANAGEMENT MODELS ARE REQUIRED TO MEET THE BREADTH OF NEW CUSTOMER DEMANDS Most management leaders fully understand that the one certainty in the volcanic twenty-first-century economy is that the terrain on

Wednesday, May 6, 2020

The Sense Of Structure Writing - 1434 Words

Teachers and researchers are constantly changing and adjusting how writing is taught. I surveyed ten respondents of students, faculty, and others at the University of Mary Hardin-Baylor to see their opinions on writing education. Although, all respondents answered in their own words, there were many similarities in their answers. The information gathered through these surveys may be used to support or defend certain arguments about writing education. In â€Å"Preparing to Teach Writing† J. Williams argues that reading is not teaching critical thinking (88-89). Although useful, there is a disconnect between reading and writing in this manner. The major concern is one of transfer (93). Many Rhetoric and Composition students are only learning to write about literature, and not about other fields (80). This could cause problems with making writing applicable to other fields and professions. Furthermore, in his book â€Å"The Sense of Structure: Writing from the Reader s Perspective†, G. Gopen argues that teaching writing by only teaching grammar is not working to educate students (3-13). Gopen argues that comprehension of the reader is the most important part of writing (6). In the survey, ten respondents from the University of Mary Hardin-Baylor were asked a series of questions involving writing and the teaching of writing. Of the 10 respondents surveyed, there were eight females, and two males. One of the male respondents was a faculty member; all other respondents wereShow MoreRelatedExercising The Muscles That Build Sentences And Good Business Writing Essay815 Words   |  4 PagesExercising the Muscles That Build Sentences and Good Business Writing By Mike Consol Jun 23, 2013 The sentence is the building block of writing. It is the component we use to, block by block, assemble a document, story, essay, letter or any other type of writing. But how do we learn to write lucid, effective sentences? One of the students - and teachers - of writing good sentences is Stanley Fish, literary theorist, legal scholar, academic and author of How to Write a Sentence. He argues that theRead MoreRhetorical Analysis Of `` The Science Of Shopping `` By Malcolm Gladwell1658 Words   |  7 Pagesfrom rhetoric devices to the structure of the message itself. Rhetoric devices, such as logos and pathos, and the structure of the message come together to ultimately persuade people to buy into things that they normally wouldn’t buy. Pathos appeals to emotion and logos describes the idea of logical reasoning. Then comes the structure of the message itself which enhances an idea to its full potential. The main purpose of these techniques in literature is to serve as writing strategies to convey an ideaRead MoreOoiujigvy Ytu Ftyoyugo Y1323 Words   |  6 PagesCritical Writing Packet Harris, REA 095 This purpose of this packet is to aid you in your Critical Writing Assignments for REA 095. TOPIC: â€Å"Extra Large, Please† Go to page 636 of your reading textbook and read #3 beneath the topic â€Å"Extra Large, Please.† This question and essay assignment corresponds to your textbook’s Chapter 3 Implied Main Ideas Review Test #2 on pages 113-117. Reread the article â€Å"Extra Large, Please† by Alice M. Davies. Then, use the following packet to help guide you throughRead MoreNew Political And Military Structures1036 Words   |  5 Pagesof traditional components. Historians came up with seven basic characteristics of civilization. The seven are as follows: an urban focus, new political and military structures, a new social structure based on economic power, the development of more complexity in a material sense, a distinct religious structure, the development of writing, and new significant artistic and intellectual activity (Pg.8). Urban focus was when cities became the centers for political, economic, social, cultural, and religiousRead MoreReflection1644 Words   |  7 PagesTo be good at something, you must fail and learn from your mistakes. I know that writing essays is my weakest point when it comes to scholar work. I tend to want to finish my work as fast as possible with little to no revision. Additionally, because of the want to finish fast, my sentence structure is weak and most of the time it doesn’t make any sense. My writing is often vague since I just want to finish, so I get straight to the point and ignore adding any details to the main points I am coveringRead MoreThe Differences Between Apocalyptic And Prophecy1609 Words   |  7 Pages but there is still so much that will always be misunderstood. Prophesy and apocalyptic literature may have some similarities but they are structurally different in a way that makes them distinct. 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Energy plays with the reader’s senses combining subject matter, leaps/ spacing and words into one to create a fascinating piece of work. â€Å"Good writers choose a topic they know a lot about—relationships, travel, growing up, bedrooms, hotels, restaurants, the synagogueRead MoreHow Writing Is Important For The Creation Of Organized Societies1564 Words   |  7 PagesThere is no doubt, that writing is one of the greatest innovations of all time. I would also argue that writing was essential for the creation of organized societies. Although languages have existed long before this great invention, writing offered a superior view in transferring even the most complex information of ideas, beliefs, and concepts from one person to another and to larger groups. The Bronze – Age is where writing first emerged. Pictogra ms, cuneiform tablets and hieroglyphs are justRead MoreThe Article By Zoe Ingalls926 Words   |  4 Pagespea pods are unlike one another. 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Tuesday, May 5, 2020

Computational Business Decision Intelligence †MyAssignmenthelp.com

Question: Discuss about the Computational Business Decision Intelligence. Answer: Introduction Data Analysis (DA) describes the process which utilize assorted tools alongside methods developed for enquiring obtainable data, determining exception, alongside authenticating hypothesis. It is comprised of reports and queries, managed query environment alongside OLAP and associated variants. DA remains a noteworthy technique for the knowledge development from massive data quantities collected and stored on a daily basis. A business needs an effective tools selection method for DA. It is that effectiveness which guarantees commensurate strengths of the tools needed by business (Yang, Pinsonneault Hsieh, 2017). A mastery of how tools are used and resultant audience is a plus to the organization. The needs of users of Internet alongside mobile users besides power users have to be considered alongside the assessment of users knowledge and skills and the level of training needed to acquire the leading productivity from such tools. Data Mining (DM) describes the process of extracting data, analysis of data from dimensions, alongside the production of information summary in a useful way that acknowledges the associations within the data (Trieu, 2017). Two kinds of data mining include descriptive; which provides information relating to the available data and predictive; which provides projections based on data. The methodology assumed for this study is systematic review of prevailing data on the underlying topic. The researcher used internet to select the articles which were then reviewed to collect data. The study design was primarily exploratory qualitative research. A total of 12 peer reviewed articles were selected and subsequently reviewed. Data cleaning as well as expurgation was conducted to eradicate the data that overlapped. The analysis adopted was a thematic one. DA and DM tools were subsequently used to perform analysis thereby converting the data into useful information to users. Role of Data Analysis Tools and Data Mining The tools for Data Mining use a range of techniques including advanced statistics alongside neural networks thus permitting the determination of trends or patterns recognizable in data and subsequently verify hypothesis. Data Analytic tools such as investigative tools and OLAP variants inspect data, assume connection determination, and consequently execute hypothesis testing connecting to data. The Data Analytic tools endure to develop besides grow within this background, with the all-inclusive goalmouth of augmenting BI, upgrading decision examination, and, additionally, recently, enhances workflow promotion. Data analysis uses the simple probe alongside reporting, analysis statistically, multi-layered analysis multidimensionality and data mining. The organization also uses data analysis alongside data mining as key subsets of BI that further, incorporates Online Analytical Processing (OLAP), data warehousing as well as systems of database management to convert the data collected from customers to drive their strategic goals. The organization also use these technologies in Customer Relationship Management (CRM) to analyze trends and patterns and querying databases to give insights into understanding their customers. The organization use DM and DA tools to search and subsequently analyze large amount of data thereby discovering useful trends and patterns and relationships. The organization then use these relationships in the prediction of upcoming behavior. The organization now use this tools to arrive at useful estimates which help in suggesting that the quantity of novel information double at an interval of three years. These information must be analyzed to ensure the organization is relevant and up-to-date. The organization also benefits from the data stowed in the data repository. This is data collected from varied bases thereby making the organization to make data-backed decisions. Once analyzed, the info is implemented properly to speed up the achievement of the strategic goals. These tools help the organization to update the information and store them in the warehouse. The managers are hence enabled to extract data for the examination of information about buying habits of customers, operations and products. Ethical Implications The study has unearthed various ethical issues regarding the data collection, storage and protection in particular databases. Organizations gather and store a fortune of info about customers in corresponding databases. The results showed that three categories of responsibilities shape the ethical implication. These categories entail (i) firms ethical responsibilities to its conforming customers, (ii) workers ethical responsibilities to firm and its conforming clienteles and (iii) customers ethical responsibilities to the firm. The businesses ethical responsibilities to clienteles revolves around gathering solely essential data from the clienteles, appropriately protecting customer data, limiting sharing of customer data, and expurgating errors in the consumer data. The employees ethical responsibilities is to escape browsing via records of data and client unless it is necessitated by needs and not selling the client data to adversaries, and never unveiling client data to concomitant parties. The ethical responsibilities of the customer relates to their provision of data to the organization they deal with. Such customer responsibilities to the organization will entail provision of accurate as well as complete data where the data is essential, as well as perpetuation of the obligation of not disclosing or using the business data they have access to (Marjanovic Dinter, 2017). The companies data analysts who use web analysts through digital measurement tools such as Google on the websites of their customer must have their Web Analysts Code of Ethics followed stringently. The professionals need to engage only with establishments that keep their data confidential, secluded and sheltered (Vidal-Garca, Vidal Barros, 2017). The businesses must deliver full revelation of their conforming consumer data usage practices to their individual customers, including if and when such data is sold to 3rd party merchants. The ethics for data purchasers must likewise be followed where certain administrations purchase data from extra sources in defining marketing strategies, targets of sales and discernment of prices. Discussion The increasing quantity of data under the contemporary generation per annum make approachability of useful info from such data progressively essential. The info stored in the data warehouse is the data repository amassed from plentiful sources like condensed info from interior systems, corporate databases and data from external sources (Shen et al., 2017). Tools for data analysis and mining utilize quantitative examination, acknowledgement of pattern and trend, cluster analysis, correlation discovery and relationships to perform the analysis of data. These tools perform the analysis with minor or no IT interventions. The outcome info is successively presented to a particular user in the form that is readily comprehensible. Queries and reports, OLAP besides its variants have become useful to managers. DM backs this analytical tools because it develops trends and patterns valuable for upcoming analysis. The data protection principles must be adhered to sternly. 8 principles of safeguarding data must be obeyed by people who process data. The analysts must be fairly and lawfully processed and used for restricted purposes. Data has to be satisfactory, pertinent and non-excessive and precise (Visinescu, Jones Sidorova, 2017). The data must never be stored longer than necessary and processed based on customers rights. The data must be secure and never transported to countries without adequate protection. The customers who provide data must have informed consent. They must have satisfactory info to make autonomous choice of whether to partake that is concerned with an understanding of the risks and alternatives in environment which is free from compulsion. The potential decisions of the customers on the issue of consent must be demonstrated (Fuchs, Hpken Lexhagen, 2017). The client must have an agreement that the provid er data will be used for a specific study scope and aware of the meaning of usage. Conclusion While tools for data analysis are progressively becoming meeker, additional classy techniques will need dedicated staff. Data mining shall need additional expertise because the results can be thought-provoking to construe and, hence, might need corroboration employing additional approaches. Both DM and DA tools remain vital constituents of BI, and need strong stratagems for data warehouse to operate appropriately (Fink, Yogev Even, 2017). This exposure suggests that extra attention must be engrossed to the ETL mundane facets and forward-thinking analytical competence. The end result can exclusively be as operative as data which nurtures the system itself. The organization must give a central repository for storing the enormous quantities of data. The firm must avail tools that aid in the abstraction of the important useful information from assumed data set. The firm will only achieve this by having data analysis tools and data mining. Data analysis assumed should be simple functions of enquiry besides reporting, statistical analysis and urbane analysis of multidimensional data besides data mining. References Fink, L., Yogev, N., Even, A. (2017). Business intelligence and organizational learning: An empirical investigation of value creation processes. Information Management, 54(1), 38-56. Fuchs, M., Hpken, W., Lexhagen, M. (2017). Business intelligence for destinations: Creating knowledge from social media. Kokina, J., Pachamanova, D., Corbett, A. (2017). The role of data visualization and analytics in performance management: Guiding entrepreneurial growth decisions. Journal of Accounting Education. Le-Khac, N. A., Kechadi, M., Carthy, J. (2017). ADMIRE framework: Distributed data mining on data grid platforms. arXiv preprint arXiv:1703.09756. Marjanovic, O., Dinter, B. (2017, January). 25+ Years of Business Intelligence and Analytics Minitrack at HICSS: A Text Mining Analysis. In Proceedings of the 50th Hawaii International Conference on System Sciences. Roiger, R. J. (2017). Data mining: A tutorial-based primer. CRC Press. Shen, C. C., Chang, R. E., Hsu, C. J., Chang, I. C. (2017). How business intelligence maturity enabling hospital agility. Telematics and Informatics, 34(1), 450-456. Shmueli, G. (2017). Analyzing Behavioral Big Data: Methodological, practical, ethical, and moral issues. Quality Engineering, 29(1), 57-74. Trieu, V. H. (2017). Getting value from Business Intelligence systems: A review and research agenda. Decision Support Systems, 93, 111-124. Vidal-Garca, J., Vidal, M., Barros, R. H. (2017). Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things. In The Internet of Things in the Modern Business Environment (pp. 249-268). IGI Global. Visinescu, L. L., Jones, M. C., Sidorova, A. (2017). Improving Decision Quality: The Role of Business Intelligence. Journal of Computer Information Systems, 57(1), 58-66. Yang, J., Pinsonneault, A., Hsieh, J. J. (2017, January). Understanding Intention to Explore Business Intelligence Systems: The Role of Fit and Engagement. In Proceedings of the 50th Hawaii International Conference on System Sciences.