Edgar Allan Poes Tell Tale Heart and Sir Arthur Conan Doyles The Adve

Edgar Allan Poe's Tell Tale Heart and Sir Arthur Conan Doyle's The Adventure of the Speckled Band Sir Arthur Conan Doyle and Edgar Allan Poe, both authors who are eminent for the content of their stories, wrote about crime. Though they invented stories concerning crime, they both wrote through different perspectives. This essay is going to compare how the characters of both stories, 'Tell Tale Heart' written by Poe, and 'The Adventure of the Speckled Band' written by Doyle, have been portrayed differently by their authors as well as exploring into the language style of the two stories. The historical backgrounds of both authors have influenced the way their stories are written. Poe was seen to have an unstable life as his mother died at and early age of three, and after that he was taken into a foster home of John Allan. He was educated at the University of Virginia. Later he went through a quarrel with his foster father and left home. He served in the U.S. Army under a false name, Edgar A. Perry, and incorrect age and then attended West Point from 1830 to 1831 but got himself dismissed when he realized he would never be reconciled with his foster father. He wrote Gothic novels, which is a type of fiction, written in reaction to 18th-c rationalism, that reclaims mystery and licenses extreme emotions. His third volume of poetry brought him neither fame nor profit but in 1833 he won a prize for best short story. From 1844, he settled down in New York as an editor and all this while he was gaining some reputation for his short stories, poems, reviews, and essays, such stories as "The Fall of the House of Usher" (1839), "Murders in the Rue Morgue" (1841), and "The Gold bug" (1843), would later be regard... ...e of the Speckled Band,' it could be seen that they both follow a formulaic plot, but the authors accentuate on different parts of the plot, such as the problem or development, in different proportions, either emphasizing more or less on it. For example, Poe emphasizes the self-obsessive actions and feelings of the protagonist in the development more than the others, whereas Doyle emphasizes more on the problem, which is discussed between the client and Holmes. In Doyle's stories there are many characters, which are significant in the plot in their own way, such as Holmes, Watson, the convict and the victim, whereas in Poe's stories the protagonist is the victim himself. The language is intricate, in both stories, from their own point of views, but because of Holmes' logical reasoning behind everything and Poe's self-obsessive actions, it does not seem so.

Critical Lens Essay :: essays papers

Critical Lens Essay Whenever someone performs a task, he/she can labor over it carefully, or do a rushed job. A student writing an essay describing the causes of the American Revolution, or a president proposing ways to end World War II illustrate two situations where both simple and complicated ways to address a problem exist. Writing a non-analytical response to the essay question would be easy to do. Likewise, dropping atomic bombs over cities, razing them and eliminating many people would not be entirely morally correct. H.L. Mencken^s assertion that ^for every problem there is one solution which is simple, neat, and wrong^ is excellent for assessing the literary elements in two works: Fences by August Wilson and Snow Falling on Cedars by David Guterson. Fences is filled with difficulties between characters, and many of these were not reconciled in a proper manner. One problem involved Cory, a high school student and his father, Troy. Cory, an accomplished football player wanted to focus on his team and play in college. However, his father was against Cory^s goals, insisting he prioritize his work and house chores over the football. Ordinarily, there is nothing wrong with a parent making major decisions for his/her children, but in this case, Troy^s solution to the problem was simply to go behind Cory^s back and revoke his membership on the team. Going behind one^s back is an easy way out of resolving a problem^the person was plainly too indolent to spend the time to find a more mutually acceptable solution. Troy^s demeanor is unacceptable not only with Cory, but also with other characters in the book. For example, when Lyons asks him for a small amount of money, Troy creates a big scene, detailing problems he had had in the past with getting credit, such as paying for furniture through ten-dollar monthly installments. It is clear that Troy is rather selfish, for he tries to keep what little amount of money he has for himself. In Snow Falling on Cedars, readers observe different types of problems. While those in Fences tend to be between two people, those in Guterson^s book usually involve a large group of people, often the entire town of San Piedro. The principal question throughout the novel centers around who killed Carl Heine. The entire town seems to show prejudice against Kabuo, primarily because he is Japanese. This prejudice is obvious even in affairs unrelated to Kabuo^s trial. In a descriptive paragraph about life in San Piedro, readers learn that Japanese workers at the Port Jefferson mill were

Social Science Paper

Christine Louise S. Lacanaria 2-Xavier TYPE| DEMOCRACY (CAPITLISM)| COMMUNISM| SOCIALISM| DEFINITION| an  economic system  based on the  private ownership  of  capital goods  and the  means of production, with the creation of goods and services for profit  . There are multiple variants of capitalism, including  laissez-faire,  welfare capitalism  and  state capitalism. from  Latin  communis  Ã¢â‚¬â€œ common, universal is a  revolutionary socialist  movement to create a  classless, moneyless  and  stateless  social order  structured  upon  common ownership  of the  means of production, It is where everyone is equal where as if one gets everybody must also have it| refers to an  economic system  characterised by  social ownership  of the  means of production  and co-operative management of the economy. [1]†Social ownership† may refer to  cooperative  enterprises,  common ownership,  state ownership, or citizen ownership of equity| CHARACTERISTICS| Private property-the right to own resources and bequeath property.Freedom of economic choice-work/not work, spend/not spend. Government should let markets be with a hands-off philosophy. | A theoretical economic system characterized by the collective ownership of property and by the organization of labor for the common advantage of all members. A system of government in which the state plans and controls the economy and a single, often authoritarian party holds power, claiming to make progress toward a higher social order in which all goods are equally shared by the people. | are economic systems that emphasize public ownership and heavy government influence in economic affairs.As a political system, socialism emphasizes co-operative work for the common good, a uniformed class system, and reductions of hierarchy in both economics and politics. | GOVERNMENT| The government and the leader is chosen by the people and almost everyone or majo rity of the people can vote for the leader| The party is chosen by the people, where as the party choses the leader or the president of the country. | Democratic elections don't exist and in theory all members in power are equal. The ruling party often establishes its rule by force.However, some modern socialist or democratic socialist systems, such as those in Scandinavia, have several parties and democratic elections. | EDUCATION| to decide individually how, when, what, where and with whom they learn to have an equal share in the decision-making as to how their organizations – in particular their schools – are run, and which rules and sanctions, if any, are necessary| quality of education is largely choosen by the capitalist political state, which chooses to educate us in ways that are beneficial to them.Capitalism is portrayed as the best of all possible systems, with socialist ideology barely mentioned and almost always misrepresented as the philosophy of the ill-f ated Soviet Union| those under 18 are legally considered â€Å"children†, adolescents under socialism will be taught from an early age to become active participants in the industrial government, to make informed and rational decisions and be treated with far more respect and offered far greater freedom and trust then the teens of today are, who are usually treated as little more then the property of their parents with few decision making opportunities of their own. ECONOMY|   shift decision-making power from  corporate shareholders  to a larger group of public stakeholders  that includes workers, customers, suppliers, neighbors and the broader public. No single definition or approach encompasses economic democracy, but most proponents claim that modern property relations  externalize  costs, subordinate the general well-being to private profit, and deny the polity a democratic voice in economic policy decisions| is also known as the planned economy. In a communist economy, it is fully operated by the government.There are only state owned and controlled businesses. The government answers all the fundamental economic questions. | is heavily planned, self-managed and state-directed. Rather than allowing market forces to determine where the economy should go, public officials decide which industries resources should be allocated toward. Production is both managed and controlled by the state. | EXAMPLES| Georgia, Lebanon, Israel, India, Bangladesh, Thailand, Japan, South Korea, Taiwan, Cambodia, Philippines, Malaysia, Australia, New Zealand| Nepal and Cyprus| China, Canada , Cuba, Vietnam|

Healthcare Industry

The global healthcare industry is expected to grow at a CAGR of 24.7%. This is made possible by the leveraging of various analytics tools and practices by the healthcare providers for improving their operational efficiency. Source: http://www.thehealthcareanalytics.comUnited States is at the front of the growth, accounting for 65.84% which can be attributed to country's substantial investment in healthcare. Europe and Asia are on a path of steady growth with increased expenditure on technology, R;D and the emergence of Big Data. Source: http://www.thehealthcareanalytics.comThe volume of data available is expected to be increasing at an exponential rate in the years ahead. Current cumbersome techniques of evaluation will soon have to pave the way for advanced analytics. These techniques, which have the ability to process, act on, manage and distribute data from variety of sources, will become the backbone of the healthcare sector. With this evaluation, the vast health data will be better understood and more effective, real time, specific decisions can be taken. Source: http://www.techferry.com Current SituationBefore discussing about the future, it is important to reflect upon the current scenario. After the introduction of Electronic Health Records (EHR), amount of data collected have gone up significantly, creating meta data that can be used for querying. Healthcare organizations have resorted to analytical tools to improve the efficiency of patient examination. With a wide range of information about patient's history, genetics and demographics, more customized quality care could be provided. More and more venture capitalists have started investing into healthcare analytics. However, healthcare organizations are a long way from making effective use of such information. Proper understanding about the vast applications of such a resource is still scarce. Differentiating between quality data and noise has been becoming more and more difficult. High cost of analytic solutions and lack of skilled professionals have been a pain point in many organizations. Leveraging bigdata analytics in healthcarePatient profile analytics: Analytics can be applied to the existing patient profiles to identify those who may need preventive care. Patients who are at a risk of developing a disease like diabetes can be helped with lifestyle changes and preventive care.Public health: By analysing the large amount of data available, disease patterns can be identified and outbreaks can be predicted by finding various correlations among the data points.Resource management: With the development of location tracking technologies like RFIDs, patients, staffs, instruments and other resources in the enterprise can be effectively tracked and managed on a real time basis.Fraud analysis: Hospitals on a daily basis receives large number of insurance claims. With the help of big data analytics, valid claims can be segregated out reducing wastage of time and resources.Genomic Analytics: Genes of an individual and high-powered computing are combined to produce personalize d treatments for each patient. Genetic disorders can be identified and target therapies can be developed.Real-Time health care: Various mobile applications are being developed that help individuals to manage their care in a personalized manner. Wearables are being developed that can effectively track the safety and monitor the conditions in real-time by analysing the large volumes of fast moving data.R & D: Predictive modelling and statistical methods can be used to improve clinical trials and finding the follow-on indications. Trial failures can be reduced and new product development can be given the push it demands.Concerns and mitigation strategiesData Integrity: The data in many situations comes from places with questionable data governance standards. Obtaining data that meets with the standards required for accurate use is one of the major ongoing battles in organizations. Lack of understanding of the usage of EHR (Electronic Healthcare Records) and importance of capturing qual ity data further adds to the lack of data quality.Future: Improvements in data capture by prioritizing valuable data types and educating clinicians about how to ensure that data is useful for downstream analytics are some of the ways forward.Filtering: Presence of inaccurate unwanted data (noise) can derail the effectiveness of the analytics system. The data, which comes from disparate data sources in multiple formats, unless acted upon properly will lead to inconsistency. Though Data cleaning, process of ensuring the datasets are consistent, accurate and relevant, are being done, most organizations still use inefficient manual methods. Future: IT vendors are now coming up with applications which use machine learning that use rules to filter and segregate data, which will make the process effective and affordableStorage: With the latest developments in technology, amount of data being generated and captured is increasing at an alarming rate. Even though most enterprises currently pr efer on premise data storage which has the advantage of having better control on security and access, it has become difficult to modify, scale and adapt to situations.Future: Many organizations are slowly shifting to cloud storage and various hybrid approaches to store their data. This provides a highly scalable, cost effective solution which provides ease of access.Security: With the recent episodes of high profile hackings, security breaches, ransomwares etc security has become a huge concern in this technological era.From a small action like leaving the laptop unsecured to highly sophisticated hacking, data is not safe in spite of many initiatives being taken.Future: Employees are being educated in transmission security, authentication protocols, and controls over access, integrity, and auditing. Procedures such as using latest anti-virus software, setting up firewalls, encrypting sensitive data, and using multi-factor authentication are some of the ways to prevent security attac ks. As we move forward in 2018, organizations will have to analyse much more complex and high-volume data. With the development of customized, highly efficient data analytics practices, organizations can make sense of the data and use it for providing efficient personalized care. Data integrity is bound to become the most important factor as effectiveness of data analytical methods are dependent on incorporation of error free, relevant data from quality sources.References1. http://www.thehealthcareanalytics.com 2. Healthcare Industry The global healthcare industry is expected to grow at a CAGR of 24.7%. This is made possible by the leveraging of various analytics tools and practices by the healthcare providers for improving their operational efficiency. Source: http://www.thehealthcareanalytics.comUnited States is at the front of the growth, accounting for 65.84% which can be attributed to country's substantial investment in healthcare. Europe and Asia are on a path of steady growth with increased expenditure on technology, R;D and the emergence of Big Data. Source: http://www.thehealthcareanalytics.comThe volume of data available is expected to be increasing at an exponential rate in the years ahead. Current cumbersome techniques of evaluation will soon have to pave the way for advanced analytics. These techniques, which have the ability to process, act on, manage and distribute data from variety of sources, will become the backbone of the healthcare sector. With this evaluation, the vast health data will be better understood and more effective, real time, specific decisions can be taken. Source: http://www.techferry.com Current SituationBefore discussing about the future, it is important to reflect upon the current scenario. After the introduction of Electronic Health Records (EHR), amount of data collected have gone up significantly, creating meta data that can be used for querying. Healthcare organizations have resorted to analytical tools to improve the efficiency of patient examination. With a wide range of information about patient's history, genetics and demographics, more customized quality care could be provided. More and more venture capitalists have started investing into healthcare analytics. However, healthcare organizations are a long way from making effective use of such information. Proper understanding about the vast applications of such a resource is still scarce. Differentiating between quality data and noise has been becoming more and more difficult. High cost of analytic solutions and lack of skilled professionals have been a pain point in many organizations. Leveraging bigdata analytics in healthcarePatient profile analytics: Analytics can be applied to the existing patient profiles to identify those who may need preventive care. Patients who are at a risk of developing a disease like diabetes can be helped with lifestyle changes and preventive care.Public health: By analysing the large amount of data available, disease patterns can be identified and outbreaks can be predicted by finding various correlations among the data points.Resource management: With the development of location tracking technologies like RFIDs, patients, staffs, instruments and other resources in the enterprise can be effectively tracked and managed on a real time basis.Fraud analysis: Hospitals on a daily basis receives large number of insurance claims. With the help of big data analytics, valid claims can be segregated out reducing wastage of time and resources.Genomic Analytics: Genes of an individual and high-powered computing are combined to produce personalize d treatments for each patient. Genetic disorders can be identified and target therapies can be developed.Real-Time health care: Various mobile applications are being developed that help individuals to manage their care in a personalized manner. Wearables are being developed that can effectively track the safety and monitor the conditions in real-time by analysing the large volumes of fast moving data.R & D: Predictive modelling and statistical methods can be used to improve clinical trials and finding the follow-on indications. Trial failures can be reduced and new product development can be given the push it demands.Concerns and mitigation strategiesData Integrity: The data in many situations comes from places with questionable data governance standards. Obtaining data that meets with the standards required for accurate use is one of the major ongoing battles in organizations. Lack of understanding of the usage of EHR (Electronic Healthcare Records) and importance of capturing qual ity data further adds to the lack of data quality.Future: Improvements in data capture by prioritizing valuable data types and educating clinicians about how to ensure that data is useful for downstream analytics are some of the ways forward.Filtering: Presence of inaccurate unwanted data (noise) can derail the effectiveness of the analytics system. The data, which comes from disparate data sources in multiple formats, unless acted upon properly will lead to inconsistency. Though Data cleaning, process of ensuring the datasets are consistent, accurate and relevant, are being done, most organizations still use inefficient manual methods. Future: IT vendors are now coming up with applications which use machine learning that use rules to filter and segregate data, which will make the process effective and affordableStorage: With the latest developments in technology, amount of data being generated and captured is increasing at an alarming rate. Even though most enterprises currently pr efer on premise data storage which has the advantage of having better control on security and access, it has become difficult to modify, scale and adapt to situations.Future: Many organizations are slowly shifting to cloud storage and various hybrid approaches to store their data. This provides a highly scalable, cost effective solution which provides ease of access.Security: With the recent episodes of high profile hackings, security breaches, ransomwares etc security has become a huge concern in this technological era.From a small action like leaving the laptop unsecured to highly sophisticated hacking, data is not safe in spite of many initiatives being taken.Future: Employees are being educated in transmission security, authentication protocols, and controls over access, integrity, and auditing. Procedures such as using latest anti-virus software, setting up firewalls, encrypting sensitive data, and using multi-factor authentication are some of the ways to prevent security attac ks. As we move forward in 2018, organizations will have to analyse much more complex and high-volume data. With the development of customized, highly efficient data analytics practices, organizations can make sense of the data and use it for providing efficient personalized care. Data integrity is bound to become the most important factor as effectiveness of data analytical methods are dependent on incorporation of error free, relevant data from quality sources.References1. http://www.thehealthcareanalytics.com 2.

Total Quality Service

Topic: Total Quality Service Summary: Total quality service and total quality management as a business strategy designed to add value to customers. It begins by discussing the roots of quality assurance and total quality management, and TQM. Also, it is to explore the relationship between total quality management (TQM) practices and service quality as well as the relationship between TQM practices and market orientation.However, most of what has been written on TQM is usually related to manufacturing related organizations even though it is widely believed that the concepts and principles under TQM are equally relevant to service organizations. Critical dimensions of TQS A review of literature on quality management implied that the critical dimensions of TQS could be broadly categorized under three groups as follows: 1) Those dimensions of manufacturing quality management that can be effectively used in service organizations of course with due modifications (these include dimensions s uch as top management commitment and visionary leadership, human resource management, design and management of processes, information and analysis, benchmarking, continuous improvement, employee satisfaction, and customer focus).2) Those dimensions that are seldom addressed in the literature, but are nevertheless key elements of TQM in both manufacturing and service organizations (e. g. union intervention and social responsibility). (3) Those factors that is highly unique to service organizations (namely, services capes the man-made physical environment  ± and service culture). The TQM dimensions that have been identified in service organizations are as follows: 1) top management commitment and visionary leadership (TMCL); 2) human resource management (HRM); ) technical system (TS); 4) information and analysis system (I & A); 5) benchmarking (BM); 6) continuous improvement (CI); 7) customer focus (CF); 8) employee satisfaction (ES); 9) union intervention (UI); 10) social responsib ility (SR); 11) servicescapes (SP); and 12) service culture (SC) Also, an empirical study that examines the difference of the relationship between TQM and quality performance in the manufacturing and service firms.

Team Importance Week 3 Hcs 325

Introduction No management position is easy these days. There are many rules and regulations to follow, as well as many responsibilities that grow more over time. One of the responsibilities as a manager is to improve efficiency of the company and extend customer satisfaction. Not only does this take money, but time, skill, and teamwork. As the manager of a busy call center, the call volume has increased so much that there is an extra $20,000 to spend on improving customer satisfaction and efficiency. How can this be spent wisely to reach these goals? Teamwork is top on the list of importance because without a team, there is no business.Teams provide many things to a health care facility, as well as any other successful business. Teams are used in many different ways in other industries, such as the military, for example. This sets examples for the health care industry as to how teams might be used similarly there compared to somewhere like the government jobs. However, nothing is ea sy like saying the alphabet. In any industry, conflict does arise, and having the knowledge of problem solving is very good to have in order to make an educated decision for the health care organization. GoalsIn the call center, there is an extensive amount of money to be used for improving the quality of care, and customer’s satisfaction. Goals need to be set in order for the $20,000 to be used wisely. Teamwork is the answer to this. To improve quality of the product, and to increase customer satisfaction, everyone has to be able to work together very well to reach the goals of the company. So far because of this teamwork, the call volume has increased immensely. Managers in the call center have a process they follow, called the Five Step Planning process, which enables them to improve teamwork, which solely improves quality and satisfaction.Five Step Planning Process â€Å"At its most basic, planning is decision making†. (Donald J. Lombardi, John R. Schermerhorn, Bri an Kramer; 2007, John Wiley & Sons Inc. ). The five step planning process is used in order to make the best decisions possible when making decisions within an organization, as well as help out with any conflicts that may arise during the process. It is a support system for problem solving and breaks down how to do it with as little conflict as possible. Step one of the process is to identify and define the problem.This is where information is gathered, evaluated, and is deliberated. Doing so defines any problems correctly and can be taken care of efficiently without complications along the way. Step two of the process is to generate and evaluate possible courses of action. In this step, managers â€Å"can begin formulating one or several potential solutions†. (Donald J. Lombardi, John R. Schermerhorn, Brian Kramer; 2007, John Wiley & Sons Inc. ). More information may need to be gathered and analyzed before going to the third step of the process, which is choosing a preferred plan of action.In the third step, a decision is made with selecting a specific course of action. In the fourth step, implement the planned course of action, actions are established and implemented to meet the final goal. Nothing new is able to happen unless action is taken. Managers should have the ability to be able to have the determination and be creative in order to implement the planned course of action. Finally, the fifth and final step of the process is evaluating the results. What happens is the accomplishments with the original objectives are compared to what has been come up with.Both the positive and negative sides should be kept in an open mind, before a final decision is made to stick. Look Outside the box Looking at how other businesses are ran and how the make teamwork better is a way to improve customer satisfaction. Teamwork is used in different ways in other industries, such as the military, for example. They use teamwork to the full extent because in their world, it may mean life or death. Jane Dyer, a veteran, states â€Å"Teamwork is a fundamental lesson in the military. At basic training, you learn about being the member of a unit†.She also states that after you leave that basic training, you are still responsible for your unit and whether or not you like a team member, you will still honor and protect each other. The military is so tightly compact, they are like a family. This sets examples for teamwork in the health care organizations because whether or not you like a team member, that does not mean you cannot help the company you work for succeed along with yourselves. The military’s company is the United States. Should they not work together well, they could die and others lives would then be at stake.It is the same concept with businesses. Should the team not work together well and improve, then one, the company ends up dying, then everyone working loses their jobs. Just because one industry is different than the other, they could very well learn important lessons about team work from each other. Conclusion Industries around the world are very different but also alike in so many ways. The military is a great industry to look at for things like team work, because the health care industries can learn how to improve their quality of care and customer (patient) satisfaction.Having that extra money can benefit the companies when they focus on improving team work alone. Lessons are learned all around. References: Donald J. Lombardi, John R. Schermerhorn, Brian Kramer; 2007, John Wiley & Sons Inc, â€Å"Managerial and Supervisory Planning: Preparing for the Road Ahead†; retrieved from https://ecampus. phoenix. edu/content/eBookLibrary2/content/eReader. aspx Jane Dyer, 2010, â€Å"The military shows the importance of teamwork†; retrieved from http://www. mydd. com/users/jane-dyer/posts/the-military-shows-us-the-importance-of-teamwork

Unemployment and Crime in the Society Research Proposal

Unemployment and Crime in the Society - Research Proposal Example Unemployed persons who engage in criminal activities represent an individual matter that should not be associated with unemployment per se. Unemployed people are ready and willing to take work anytime if it is offered to them. They are ready to work and earn a decent living, but the challenge is the scarcity of job opportunities to absorb all the employment. The aim of this study is to examine the relationship between crime and unemployment in the society. The investigation will involve the convicts of various crimes in society in a selected region in U.K. between the 1990 and 2013. The investigation will be conducted using questionnaires, observations, and interviews, and will target about two hundred respondents and gather details regarding the cause of conviction, respondents’ occupation prior to prior to conviction and the duration of imprisonment. The outcome of the investigation will be used to establish the extent to which unemployment has contributed to the crimes in t he society and the effect of law in deterring crimes in the society. Even though many people associate unemployment with criminal activities, the current increase in crime rate in the society is as a result of a failure of the security structures to deal with offenders and redress justice for the victims of crimes. Crimes are unlawful conducts stipulated by the state in the constitution of the country. The law specifies what is unlawful and the consequences of engaging in the unlawful conducts. There are many arguments that associated increase in the rate of unemployment with increasing rate of crimes in the society. Some researchers have linked poverty and unemployment of the youth to increasing criminal activities, and they argue that if the government does come up with strategies to curb the increasing poverty due to unemployment the society will be chaotic and uncontrollable.