A Hope in the Unseen Essay - 2413 Words

A Hope in the Unseen by Ron Suskind is an amazingly touching story for any future teacher. It gives hope to every student who is trying to make it in life. It enforces the importance of teacher expectations, human capital, and cultural capital. It touches on funding issues and the irrelevance of standardized testing. Cedric Jennings life was everything but easy. He never had the opportunity to take the short, easy path, instead always being forced onto the long, winding road; in Cedrics case it gradually led to a world of success. Everyone, future teachers and others alike, should take the lessons in this story to heart, both as an example and as inspiration. Set high goals... achieve high goals. This should be the theme in every†¦show more content†¦The other students lacked the drive to achieve. The teachers would make a poor attempt to teach to them, and often passing grades are granted just for showing up (Suskind pg. 46). Some teachers may have even made the lessons easier to accommodate the perception they had of the students. The lack of support for these children did just as the Pygmalion Effect predicts; poor expectations equal poor results. The school was lacking on resources so the standard teaching tool was a worksheet (Suskind pg. 17). Attendance is too irregular and books too scarce, even in the advanced sections, to actually teach many lessons during class. Often worksheets are just the previous days homework, and Cedric can finish them quickly (Suskind pg. 17). There were many teachers fighting against Cedric, in a discussion two teachers said, That Cedric...nothing but trouble. Quick tongue and too much pride (S uskind pg. 17). Cedric had a 4.02 GPA and was nearly first in his class, though his teachers rarely offered encouragement. What motivated Cedric was the drive to prove them all wrong. Suskind called this something to push against. Later as he progressed and made his way out of Ballou, he went on to MIT where the professors and administrators did not believe in him either. They saw him as a poor black male that would never make it on his own. In their eyes he was not keeping up with the rest of the children andShow MoreRelatedA Hope in the Unseen: Analisys1539 Words   |  7 PagesA Hope in the Unseen follows Cedric Jennings through various obstacles on his path to success as a young African American male in the mid 1990s. Ron Suskind does a stellar job creating the intricate background for the events of the novel. Residing in the inner city of Washington D.C., Cedric must overcome a culture of malaise where an intelligent black male is often ridiculed with terms such as cracker and white. The teachers have no faith in the future of their students, and most parents areRead MoreCedric Jennings in A Hope in the Unseen by Ron Suskind785 Words   |  4 PagesCedric Jennings in A Hope in the Unseen by Ron Suskind Throughout the novel, A Hope in the Unseen by Ron Suskind, Cedric Jennings is a minority student in a poor, inner city school, trying to fight his way up to the top. He has a greater hope for himself than the overwhelming majority of the other students at Ballou High. Cedric faces many challenges to eventually make his way to Brown University. According to Labaree, Cedric is exercising the goal of social mobility, meaning that he worksRead MoreHuman Experience of Illness842 Words   |  4 PagesThe goal of the healing environment is to remove the patient from all the toxic and hazards to give them time to heal. Three concepts that help creating a stable environment will be explain in this paper. These concepts are the seen environment, the unseen environment, and the storied environment. Three concept of the Healing Environment The seen environment is the physical environment that pertains to all the objects that can be touched, seen, smelled, measured, etc. Painting the rooms with neutralRead MoreHurt People Hurt People1138 Words   |  5 PagesPeople A Critique Dr. Wilson opens her book by stating, â€Å"It’s true, isn’t it? Hurt people hurt people.† (2001 pg.9) It is Dr. Wilson’s belief that by shedding light on Hurt People Hurt People she shows a cycle that can be broken. Wilson explores unseen wounds, how they are created through childhood, and caretakers within our lifetime. Dr.Wilson exhaustively demonstrates the help there is for the different wounds and how to heal them. She provides information for healing self inflected wounds, worshipersRead MoreTitle : Go Fish Text : John 4: 1-42 The Woman at the Well. Main Idea: Sharing the good news700 Words   |  3 Pagesall the way here in MD? Share how you where before you came to Jesus. How did you come to Jesus? – Life verse and what did you hear? What is your life like now that you came to Jesus? See the unseen. – How my mother saw the unseen and gave hope to Mary the bag lady story. More about that later. 4. Hope (vv.25-26) IV. Witnessing is a major aspect of Christian living - I Corinthians 10:31-33 See also Mt 10:32–33; 2 Co 4:13; 1 Jn 2:23; 1 Jn 4:15 How does your life exemplify Jesus? Show them thatRead MoreAn Analysis Of Ros Suskind s A Hope1690 Words   |  7 PagesRos Suskind: A hope in the Unseen A typical high school student like Cedric Jennings in the novel ‘A hope in the Unseen’ would never prefer to write on the style and voice of a novel over a mathematical derivation of two pages. Style is very difficult to determine in a novel, but what is more difficult is to find the thin and blurred line between style and voice. Theoretically, while style is the way by which an author chooses words, makes decisions on sentence structures; whether long or short,Read MoreAnalysis Of Spredemanns Whirligig By Paul Fleischman971 Words   |  4 PagesAlexandra and Steph. The author says â€Å"But just in case unseen forces do exist, I pay my respects to them by keeping the whirligig painted and repaired. I check it after every winter. Sometimes Alexandra helps† (Fleischman 32). The whirligig Steph finds is one of a girl with the face of Lea, with shells and other chimes hanging from her neck. It is a big whirligig in Maine, very colorful. Steph thinks of the whirligig as a kind of hope, an â€Å"unseen force† that can do anything at anytime. It is kind ofRead MoreDifference Between Spirituality And Religion Essay1707 Words   |  7 Pagesbeing part of the greater whole. They tell a story of universalism and becoming self- transcendence. †¢ What are the different names given to ultimate reality? (pg.8, para. 6) The different names for ultimate reality is immanent and transcendent. †¢ Unseen Reality. What is this all about? (pgs.8-10) It is about seeing the other side of the world like enlightenment, realization, illumination, satori, awakening, self-knowledge, gnosis, ecstatic communion. †¢ †¢ Note the difference between sacred and profaneRead MoreVerses774 Words   |  4 Pagesgracious to you; he rises to show you compassion. For the Lord is a God of justice. Blessed are all who wait for him! Isaiah 30:18 For I know the plans I have for you, declares the Lord, plans to prosper you and not harm you, plans to give you hope and a future.   Then you will call upon me and come and pray to me, and I will listen to you.   You will seek me and find me when you seek me with all your heart. Jeremiah 29:11-13 Have I not commanded you? Be strong and courageous. Do not beRead MoreEssay about Elements of Journalism1032 Words   |  5 Pages it must keep the news comprehensive and proportional, and its practitioners must be allowed to exercise their personal conscience. These elements are to be used in relation to any piece of journalism. Therefore, as I look at Suskinds A Hope in the Unseen I will evaluate his use or lack of use of these nine elements. Journalisms first obligation is to the truth. This is a simple concept, however, there is said to be much conflict over the fact that one persons interpretation of what

The Importance Of Becoming An Independent Consulting

Scenario Summary For the past ten years I have been offering advice to local churches and businesses assisting them with growth strategies as it pertains to visual communications voluntarily. This has been very rewarding to watch these local organizations expand and grow with my expertise in visual communications with little to no budget for marketing and operations, however, I am starting to realize how much money I have forfeited not charging consulting fees for my service. An old business proverb goes like this: give a man a fish and you feed him for a day; teach a man to fish and you lose a customer or a potential business opportunity. Considering the idea of becoming an independent consulting is rewarding for me in many ways. First†¦show more content†¦PORTER’S GENERIC STRATEGIES Michael Porter has proposed three generic strategies that provide a good starting point for strategic thinking: overall cost leadership, differentiation, and focus (Keller and Kotler, pg. 51). These strategies are guides to start researching how to market a particular product or service. Overall Cost consist of developing strategies to give advantage over competitors. Differentiation is creating uniqueness for a brand giving the brand its own identity. Focus will Identifying a niche market that a firm can dominate by better meeting market needs than its competitors. I would use the strategies of overall cost and focus to build my service because these two areas will help me reach my target consumers. Being able to service small to mid-size organizations with visual communications at an affordable cost with mainstream service in media and operational affairs are instrumental for organizational growth. Target Market My target market would be consulting for small churches and businesses. I believe there is a niche for visual communications in these types of organizations right now because of budgeting issues and because lack of people within their organization who can provide what I am offering. These organizations don’t

Predictive Policing free essay sample

Predictive Policing Dr. Janet Durgin Information Systems for Decision Making October 20, 2013 Introduction Predictive policing refers to any policing strategy or tactic that develops and uses and advanced analysis to inform forward-thinking crime prevention. predictive policing is done through software called PredPol. It takes crime data, runs it through an algorithm, and then generates these maps. The maps tell police where crimes might happen † before they take place. Police can spend extra time in the areas at risk for crime, the thinking goes, and prevent those crimes from ever occurring. This paper will Compare and contrast the application of information technology (IT) to optimize police departments performance to reduce crime versus random patrols of the streets. Describe how COMPSTAT, as an information system (IS), implements the four (4) basic IS functions: Input, Processing. Output, and Feedback. Also, it will determine how information systems have allowed police departments that implement tools such as COMPSTAT to respond to crime faster. Law enforcement is now capable of anticipating crimes and therefore, they can issue additional manpower in those identified areas to deter criminal activity before it starts.This reduces randomly selected patrol areas and provides substantial patrols in areas where needed. Patrolling Is a great way of displaying police presence In the community. It makes citizens feel a sense of security. Unfortunately patrolling Is not always effective If little to no crime occurs In heavily patrolled areas but occurs In less patrolled areas. This is a misuse of man power and promotes crime due to the lack of police presence. Enforcement it is critical to plan and prepare for crime in order to prevent it. The use of information technology such as COMPOSTS in law enforcement provides a way for law enforcement officials to build a strategy for crime fighting and prevention. Technology has provided a business approach to crime fighting with the use of data that can be analyzed to develop strategies and plans of action. Planning has now become increasingly important in crime fighting and prevention. Although the data is not perfect it provides a window into the unknown and allows us to predict and forecast criminal activity. The debate between the use of COMPOSTS technology and traditional patrolling is one that continues.COMPOSTS enforces that command staff hold the responsibility of crime prevention and reduction with little regard for trolling officers in the decision making process. While traditional policing or patrolling entrusts decision making based on the street activity. This type of policing is a partnership between law enforcement and citizens. The crossroads is evident as the two different approaches clash. The technology approach favors the command officers decisions, while traditional patrolling favors the leadership and decision making of officers on their individual patrols. (Willis, Mastiffs, ; Westward 2003, p. ) While both patrolling and the use of technology are important elements to efficiently and effectively execute safety measures I believe that traditional patrolling is less effective singularly. Patrolling is most useful when executed in tandem with technological data to identify high priority areas. I view this as an essential element to succeeding in crime prevention. COMPOSTS Information System Information systems collect, process, store and analyze data. These systems are often used to create efficiency and effectiveness in daily operations. Information systems have four basic functions: input, processing, output, and feedback.Input is captured or collected data for analysis. Data can be captured from multiple sources and compiled for statistical analysis. Compacts data is derived from areas such as police reports, crime data, and citizen input. This input of data is important to formulate an accurate analysis of crime trends, patterns, and possible preventative measures. In the processing phase the inputted data is converted and analyzed for later use. This data can be stored, or transferred and used on demand. The accessibility of this type of data is essential in understanding crime activity and creating crime fighting strategies.The analyzed data and reports are then rendered for review. The next step is for the data to be reviewed by command officers. The command officers are generally the decision makers and they utilize the data to formulate effective crime fighting strategies, allocate resources, and workflow. This enables commanding officers to comply with the COMPOSTS cycle of reviewing, straightening, and rapid deployment. Accountability is the platform by which COMPOSTS is based and as such it provides restructuring of the Departments crime fighting abilities with increased effectiveness in response times.Feedback is the process of organizing and assessing final results. COMPOSTS feedback provides commanding officers an opportunity to assess the results of an executed strategy. The COMPOSTS feedback provides commanding officers with analysis to determine if there is a need for revisions of a given strategy or follow up planning when necessary. Turban, ; Volition (2011) states A feedback Crime and Information Systems The use of Information systems such as COMPOSTS within law enforcement have significantly changed the way policing is executed.Law enforcement is more strategic and based on statistical data which helps in crime fighting and crime prevention efforts. Commanding officers now use this data to assess high crime areas and strategically deploy officers to high crime areas based on trends and r ecent activity. The increase in patrolling officers assigned to high crime areas provide the ability for rapid response to calls, thus positively impacting response times. Predictive Policing SOOT Analysts Predictive policing is the wave of the future in creating effective and efficient policing. Strategy and planning are now essential to creating positive law enforcement outcomes.With the proper data and analysis, commanding officers are owe able to create movement toward a safer environment for citizens. Strengths Predictive policing provides a vast array of strengths to any Law enforcement agency considering the use of this tool. Strategy, planning and execution are at the core of such predictive policing tools like COMPOSTS. Implementing this tool will enable law enforcement to effectively utilize its resources and time by providing security and policing efforts in the right places at the right time. This will improve response times and move officers to rapid response levels.The use of COMPOSTS will also help to identify staffing needs as officers must be deployed to various high crime areas, additional officers may be needed for maximum effectiveness. Weaknesses While predictive policing is effective it also has weaknesses. Predictive policing excludes the role of the patrolling officer in the decision making process. Decisions are made by the commanding officer and should be carried out by the patrol officer. Decisions are no longer at the discretion of the patrolling officer. Giving this level of power to a commanding officer may also lead to a potential abuse of power. Strong ethical leaders should only be placed in the commanding officer role. Opportunity Areas of opportunity in predictive policing are found in the communication between officers and commanding officers. Open communication and exchange of ideas in the decision making process would benefit the effectiveness of the overall strategic planning. Enforcing a partnership between patrolling officers who work the streets daily and commanding officers who manage daily will build a stronger unit that is likely to achieve more. Interdepartmental relations are critical elements to the overall success of the executed plan.Threats Potential threats to predictive policing are the potential threat of computer hacking to determine or anticipate police strategy. As with any system the threat of hacking or piracy is always evident along with computer outages or loss of data. Measures to safe guard data must be implemented and enforced along with back up data planning. This will ensure that data can be retrieved and is accessible at all times. Conclusion In conclusion, predictive policing with the use of COMPOSTS will make for a more rates and better strategic planning along with rapid response.

Information Together Forms Base Of Data †Myassignmenthelp.Com

Questions: When and how Elm should be used for business applications? When Elm should be selected or not selected for software projects? How to program business applications in Elm? Answers: Introduction This project is focused on gaining an in-depth knowledge in Elm which is a functional programming language. This study will further dive into determining when Elm should be used or not used for software projects. In this project, the discussions will be carried out to become professionals in in using Elm for business applications. Further, this project will help to design and build an application by using Elm. This project will investigate upon the features of functional programming especially Elm and how viable it is context to production (Chakravorty and Hales 2017). The architecture of Elm is simple and easy to use for designing web applications also there is modularity and scope of reusing codes as well as testing. The Elm architecture is easy however it is useful for front-end projects only and has poor integration with the existing applications. The programming industry have to be aware of the context in which Elm can be used or not used for business applications. Hence, this p roject aims to deliver a guide for businesses to determine the when m should and should not be used for business applications. Finally, the research project will help to design and simple business application with the help of Elm. Research Question/s and intended outcomes The aim of this project is determining the use of Elm for business applications and hence the major research question is presented as below: The major aim of the research questions is to investigate Elm as a functional programming language and role played by it for designing business applications. The questions have been prepared for gaining in-depth knowledge in Elm and how it can be associated with software projects. The intended outcome of this project is a simple business application that will be designed by using Elm. This project will help to assess when and how Elm should be used for business applications (Bettinazzi and Zollo 2016). This project will also help the professionals in their future research on utilizing Elm for designing of business applications. Methodology The primary and secondary sources of information together forms the base of data collection tools in almost any research project. The primary sources of information for this project will be collected from online survey questionnaires and direct face to face interviews with professionals in the field of business application programming (Zhang et al. 2016). Favorable position of using primary data is that experts are gathering information for the specific inspirations driving their examination. Surveys routinely contain diverse choice inquiries, manner scales, close request and open-completed request. The online questionnaires will help to gather accurate information. The secondary source of information will comprise of meetings that are generally conducted very close however it can be controlled by telephone or using more innovative technology, for instance, Skype (Mayer 2014). At times they are held in the interviewee's home, as a rule at a more objective place. The secondary data will also be collected from various case studies that relate to the subject topic. Feasibility and Scope of the Study This project is feasible in context to the scope of the study as it involves investigation of functional programming and that has a significant role to play designing of business applications. This project will help to achieve in-depth knowledge of Elm and how it can be used for business applications. The research project will also eventually help to design a simple business application with the help of Elm and produce a guide for businesses on when Elm should and should not be used for business applications (Komi et al. 2017). The professionals in programming industry will find this research project to be beneficial as it will open doors for them to gain in-depth knowledge of Elm. Report Structure (proposed) The report structure being proposed for completion of the research project is presented as below: Activities for the research 1st Week 2nd Week 3rd Week 4th Week 5th Week 6th Week 7th Week Completion dates Gathering information from secondary sources 25/08/2017 Preparing layout for the project 30/08/2017 Literature review on available journals 12/09/2017 Planning for the project 15/09/2017 Collection of information from primary sources 20/09/2017 Findings and Analysis 30/09/2017 Discussion and interpretation 05/10/2017 Drawing conclusion to the study 15/10/2017 Completing the final paper 20/10/2017 References Akusok, A., Veganzones, D., Bjrk, K.M., Sverin, E., du Jardin, P., Lendasse, A. and Miche, Y., 2014. ELM ClusteringApplication to Bankruptcy Prediction. In International work conference on TIme SEries (pp. 711-723). Bettinazzi, E.L.M. and Zollo, M., 2016, January. Stakeholders and Organizational Learning: Theory and Evidence from Corporate Acquisitions. In Academy of Management Proceedings (Vol. 2016, No. 1, p. 13573). Academy of Management. Bgel, P.M., 2015. Processing of CSR communication: insights from the ELM. Corporate Communications: An International Journal, 20(2), pp.128-143. Bowen, P.G., 2014. The Strategy Wagon Wheel and Its Application For Teaching Strategy. Business Education Innovation Journal, 6(2). Chakravorty, S.S. and Hales, D.N., 2017. Sustainability of process improvements: an application of the experiential learning model (ELM).International Journal of Production Research, pp.1-17. della Porta, G., Principi, E., Ferroni, G., Squartini, S., Hussain, A. and Piazza, F., 2016. ELM based algorithms for acoustic template matching in home automation scenarios: advancements and performance analysis. In Recent Advances in Nonlinear Speech Processing (pp. 159-168). Springer International Publishing. Ding, S., Zhao, H., Zhang, Y., Xu, X. and Nie, R., 2015. Extreme learning machine: algorithm, theory and applications. Artificial Intelligence Review, 44(1), pp.103-115. Elm, C., Knight, T., Martin, M.M., Michel, K.J., Boctor, M. and Loberg, S.J., Disney Enterprises, Inc., 2016. Content orchestration for assembly of customized content streams. U.S. Patent 9,503,770. Elm, J.P. and Goldenson, D., 2014. The Business Case for Systems Engineering: Comparison of Defense-Domain and Non-Defense Projects. Ismaeel, S., Miri, A., Sadeghian, A. and Chourishi, D., 2015, November. An Extreme Learning Machine (ELM) Predictor for Electric Arc Furnaces' vi Characteristics. In Cyber Security and Cloud Computing (CSCloud), 2015 IEEE 2nd International Conference on (pp. 329-334). IEEE. Khalid, H.M., Liew, W.S., Helander, M.G. and Loo, C.K., 2016, December. Prediction of trust in scripted dialogs using neuro-fuzzy method. In Industrial Engineering and Engineering Management (IEEM), 2016 IEEE International Conference on (pp. 1558-1562). IEEE. Komi, M., Li, J., Zhai, Y. and Zhang, X., 2017, June. Application of data mining methods in diabetes prediction. In Image, Vision and Computing (ICIVC), 2017 2nd International Conference on (pp. 1006-1010). IEEE. Mayer, B., 2014. Designing the Business Strategy Game to Promote Strategic Thinking and Student Engagement: An Application of the Four Disciplines of Execution. Business Education Innovation Journal VOLUME 6 NUMBER 2 December 2014, p.86. Mila?i?, L., Jovi?, S., Vujovi?, T. and Miljkovi?, J., 2017. Application of artificial neural network with extreme learning machine for economic growth estimation. Physica A: Statistical Mechanics and its Applications, 465, pp.285-288. Razzaghi, T., Otero, A. and Xanthopoulos, P., 2017. Imbalanced classification for business analytics. In Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (pp. 660-670). IGI Global. Teng, S., Khong, K.W. and Goh, W.W., 2014. Conceptualizing persuasive messages using ELM in social media. Journal of Internet Commerce, 13(1), pp.65-87. Wang, X.Z. and Wang, H., 2014. Guest editorial: learning from uncertainty and its application to intelligent systems of web information. World Wide Web, 17(5), p.1027 Zhang, N., Chen, H., Chen, X. and Chen, J., 2016. ELM meets urban computing: ensemble urban data for smart city application. In Proceedings of ELM-2015 Volume 1 (pp. 51-63). Springer, Cham. Zhang, N., Chen, H., Chen, X. and Chen, J., 2016. ELM Meets Urban Big Data Analysis: Case Studies. Computational intelligence and neuroscience, 2016. ZHANG, Y. and LI, M., 2016. A Novel Evaluation Model of Water Quality Based on PSO-ELM Method. Environmental Science Technology, 5, p.026. ZHENG, H.C., QI, Z.H., WU, J., WANG, T. and WAN, N., 2015. Antecedents of Award-Based Crowdfunding Performance: From the ELM Perspective. Journal of University of Electronic Science and Technology of China (Social Sciences Edition), 1, p.009.