Choose your own Essay Example | Topics and Well Written Essays - 1750 words

A Critique on Drug Testing in Employment by Joseph Desjardins and Ronald Duska Essays

A Critique on Drug Testing in Employment by Joseph Desjardins and Ronald Duska Essays A Critique on Drug Testing in Employment by Joseph Desjardins and Ronald Duska Paper A Critique on Drug Testing in Employment by Joseph Desjardins and Ronald Duska Paper Comparable to this, the creators current circumstances wherein it is permissible to demand a worker to submit to sedate testing however again it may not be expected of the representative. Additionally precluded are the utilization of coercive measures to cause the representative to submit to medicate testing, for example, the danger of losing business or even certain work benefits. It must be brought up that while the creators do stand firm for the assurance of the security of workers, the contentions that have been introduced must be dismissed for absence of adequate premise and choices for the accompanying reasons. As a matter of first importance, no right, even those conceded by the constitution, is outright. Each correct that an individual is allowed is constantly dependent upon specific impediments and limitations. Similarly that a person’s right to security might be attacked on the quality of a court order. The setting of being in a work environment isn't so very different that it is fit for being given an alternate treatment. Truth be told, more limitations on the privilege to security can even be forced in view of the setting. It must be recollected that in the circle of human rights, there is a relationship between's the privileges of one individual and that of another. One is just allowed to act inside the limits of his protection or rights as long as such acts don't unduly or unnecessarily meddle with the privileges of others. As the creators would contend, sedate testing can be actualized however the interest by the workers must be deliberate. This view can't be continued in accordance with the contention that no privilege is total. The purpose for this is there is a more noteworthy worry behind the entirety of this and this is open wellbeing. While it might be a restriction on one’s security, it is for a more prominent reason; a reason that everybody in the nation has submitted to and pledged to maintain. The second and maybe all the more convincing motivation behind why medication testing ought not be made willful is the way that it doesn't in fact disregard the established right to security. The creators expand the inclusion of the privilege to security to medicate testing. In a long queue of cases chose by the United States Supreme Court, it has been reliably held that physical testing of an individual can be constrained. There is no infringement of the privilege to security for this situation except if the test was completed without fair treatment. For this situation, requiring a worker who is associated with ingesting destructive medications or those that can influence work execution can be required without stress of abusing the employee’s right to protection. While the contentions introduced by the writers are not plainly validated in the article, the must, in any case, despite everything be commended for their endeavors in attempting to maintain the individual’s right to security. Medication testing can be utilized as a methods for irritating representatives or even as a method of terminating those workers who are inadmissible without experiencing the whole legitimate procedure of pulling out. No legitimate framework, no plan of action is great. There will consistently be a battle between privileges of representatives and that of the businesses. The arrangement might be far away however one thing stays clear. Until and except if a specific trade off can be made to accordingly adjust these relating rights there will be more contention encompassing this issue. The representative is as of now very much ensured under the Labor Laws of this land and his exertion is enormously refreshing yet one should likewise consider that without the business or capital the greater part of these workers would not have any occupations whatsoever.

Predictive Analytics How to Forecast the Future

Predictive Analytics How to Forecast the Future One of the most popular features of Big Data is predictive analytics. Far from the latest business buzzword, predictive analytics is a set of techniques that have become fundamental to the business strategies of many household name brand firms, such as Netflix, Google, and Amazon. These firms, and many others, dominate their respective markets, due in large part to the significant use of predictive analytics.Predictive analytics is a form of business intelligence gathering, the strategic business use of which is powerful enough to upend an industry. Driven by the tremendous-revenue generating potential of predictive analytics, more firms are investing in the necessary infrastructure, such as data storage and processing hardware and software and both database administrators and data analysts. As they do so, predictive analytics tools and techniques, grow in sophistication and refinement.Moreover, as more firms adopt predictive analytics, and incorporate it into their existing strategi es, they fuel its widespread adoption, as competitors must adopt it or risk losing significant market share. © Shutterstock.com | ImageFlowIn this article, we will cover 1) the definition of predictive analytics; 2) discuss data analysis; and 3) the types of predictive analytics; as well as cover 4) using predictive analytics; 5) the benefits of predictive analytics; 6) the risks of predictive analytics; and 7) a real-life example of a firm using predictive analytics.WHAT IS PREDICTIVE ANALYTICS?Predictive analytics is an assortment of statistical and mathematical techniques used to predict the probability of future events occurring. Fundamentally, statisticians and data scientists combine and standardize a variety of historical datasets to develop correlative statistical models that firms, research organizations, and even governments use to forecast a wide range of phenomena.The field’s origins lie in the beginnings of the computer age in the 1940s, specifically with the U.S. government’s use of computational models during World War II. Notable examples include the development of the Kerrison Predictor in 1940, which automated anti-aircraft weapon targeting, and the use of computer simulations by the Manhattan Project to determine the probable results of nuclear chain reactions in 1944.Just as computers and computing technology have grown exponentially since then, so too has the field of predictive analytics. In 2012 alone, technology users generated 2.5 exabytes of data per day â€" an estimated three-quarters of which is text, audio, or video messages. That’s a lot of data for firms to leverage, and with data storage prices and space requirements having shrunk exponentially since the 1940s (indeed, from even a decade ago), the adoption of predictive analytics is an increasingly cost-effective proposition â€" if not, exactly a simple one.Eric Siegel answers eight questions about predictive analytics DATA ANALYSISIn addition to either developing the necessary infrastructure in-house to leverage predictive analytics, or outsourcing their business intelligence ga thering, a firm must determine what questions they will use predictive analytics to answer. Predictive analytics, whether done externally or internally, is costly in terms of time and labor, as the answers to these questions are the result of intensive research, involving multiple datasets with many variables.It is important for data scientists to be able to link and visualize datasets in order to interpret them better. While computers have gotten faster and better at processing vast amounts of data, human insights lie at the root of the answers to Big Data questions. It is also important to understand that the answers to predictive analytics are, for the most part, correlative, not causative, by nature. This means that data scientists are looking at the probability of an event based on the event happening under similar conditions. A failure to understand the deeper underlying reasons â€" the causes â€" of the event, can lead to inaccurate predictions.TYPES OF PREDICTIVE ANALYTICSTh ere are several types of predictive analytics methods, including predictive modeling, design analysis and optimization, transaction profiling, and predictive search.Predictive ModelingWhen most laypeople discuss predictive analytics, they are usually discussing it in terms of predictive modeling. Indeed, predictive modeling is at the heart of predictive analytics, and has been popularized in science fiction as well as by the financial services industry.It involves mathematically modeling associations between variables in historical data, in order to predict or forecast the likelihood of a future event. Commonly used in the financial services industry to predict the behavior of capital markets, predictive analytics is increasingly being used for sales and revenue forecasting, dynamic pricing, online recommendation systems, strategic planning, and other business areas requiring decision-making about the future.Predictive modeling yields the probabilities of event occurrences based on previous event occurrences; as such there is no guarantee that a desired event will occur (or conversely an undesired event will fail to occur). Understanding this can reduce overreliance on the models.Decision analysis and optimizationDecision analysis and optimization is a subfield of predictive analytics that deals with reducing the uncertainty inherent in decision-making. Specifically, it involves aspects of a decision, and/or multiple decisions to determine the one likely to yield the most success. Firms often use decision analysis and optimization in functional areas, such as supply chain management to ensure the firm’s decisions maximize revenue and result in a firm achieving and/or exceeding other key performance goals.For example, a distribution chain optimization problem might involve determining the ideal mix of online and brick-and-mortar retailers to use to achieve a target revenue goal. Using SAS Analytics, IBM SPSS Modeler, another popular predictive modeling applic ation suite, or internal proprietary software, a data scientist can import multiple datasets (such as historical wholesale prices, local and online retailers, distribution costs by distribution method, and more), build models, and test and retest results.Transaction profilingTransaction profiling involves aggregating and filtering information from transactions involving enterprise software. These can include, but are not limited to, credit card transactions on an online retailer’s website, and logins to a proprietary social network; there are often isolated datapoints. This subfield involves standardizing this data and clustering it with relevant data in ways that can allow a firm to create predictive models of transactional data.Predictive searchPredictive search, fundamentally, involves creating algorithms that take one set of inputs and finds a particular output. However, the increasing sophistication, and in some cases, the incompleteness, of inputs requires algorithms that re turn the best possible answer.To illustrate this, consider two co-workers. The first asks the second for a restaurant suggestion for a business lunch. The second can make the recommendation based on their knowledge of the first co-workers personal preferences, likes/dislikes, and knowledge of the area. A search engine, hypothetically, has realms of data to make a strong recommendation, such as the user’s geographic location, online mentions of personal preferences.Further, the second co-worker might immediately realize, that the first co-worker might actually need a vegetarian restaurant for this particular meeting. Predictive search also involves deep dives into multiple datasets to provide you with a personalized output that gets at the underlying reason for your input. Ideally, a search query might “recognize” that the restaurant recommendation is likely for a particular meeting on your online calendar, further “recognize” that the client is a vegetarian, and return res taurants that fit this need. Predictive search developments will harness more and more data in assessing the best possible answer to return.USING PREDICTIVE ANALYTICSPredictive analytics can be used for a variety of business strategies, and has even give rise to many business models, such as search, search advertising, and recommendation engines. Firms must determine the costs and benefits of developing the in-house capabilities to do this, or outsourcing their Big Data needs to a third-party market research firm. Both approaches have time, cost and labor benefits and drawbacks for any firm; however, with other firms increasingly using predictive analytics, each firm will have to map its Big Data strategy now or in the near future. Once a strategy has been determined, the firm must determine what insights will best inform their strategy and then use predictive analytics to obtain them.BENEFITS OF PREDICTIVE ANALYTICSPredictive analytics benefit any decision by providing executives, managers and other decision-makers with the tools to make the best possible decision. Some applications include, but are not limited to predictions of customer purchasing likelihood, for use in targeted marketing and upselling; sales and revenue forecasting; optimize marketing channel, supply chain, distribution chain, and manufacturing optimization; and new product development.Really, there are no limits to the potential applications of predictive analytics for optimization and forecasting. Even scientific organizations and governments have begun to invest in the resources necessary to leverage predictive analytics.RISKS OF PREDICTIVE ANALYTICSThere are several risks to using predictive analytics, though most stem from overreliance on this set of tools. Executives and managers must understand that predictive analytics involves probabilities and correlation, which are not absolute. Data scientists must strive to filter out all of the noise from datasets to ensure accurate and replic able modeling results. They must further strive to present these results as actionable insights with risk parameters for each choice.Asking the wrong questionsAwash in reams of data, it is critical that firms ask the right questions. Predictive analytics is most efficient when used to determine the answer to a narrow inquiry, such as the likelihood of customer A to buy product X at time Y for price Z, rather than the likelihood of customers buying product X (as might be asked by a layman). Further, data scientists must be able to test assumptions and pivot quickly from erroneous ones. For example, if a question involves the impact of a marketing technique on sales â€" one favored by the CEO and widely assumed to have a significant impact, and later studies determine it has no effect, the data scientist must be able to assess the remainder of the question freely.Data scientists must take the general questions that may come from executives and managers and extract the root business ne ed. To fulfill this need, they must use the data to create appropriate recommendations by determining the appropriate datasets, filter out extraneous information, build models, and test and retest them.Bad dataData scientists must be aware that not all data is accurate, arrive at an estimate of bad data, and correct for it in their studies. Data can be bad for any number of reasons, including self-reporting errors, corrupted files, poorly phrased questions, incomplete data aggregation, and poor standardization methods.It is critical that data scientists quickly recognize and filter bad data from their data sets. They must also make sure they do not create bad data themselves â€" for example through an imperfectly calculated transformation function. Further, they must take the time to improve aggregation and standardization methods to limit the collection of bad data. Without reasonably accurate data, data scientists cannot build predictive analytics models whose assumptions will hol d.Complexity and unpredictabilityBig Data is messy, consisting of everything from social media mentions to traffic camera images to website logs. Predictive analytics, being a set of statistical techniques, requires all data to be standardized and quantified. Quantifying non-numeric data has its own risks and creates uncertainty.Further, data is unpredictable, especially dynamic data. A model that accurately forecasts future events could be thrown into disarray by a sudden unanticipated cascade of events, which were not initially estimated. Such was the case in 2007, when the majority of financial services firms failed in incorporate the possibility of sudden credit defaults, which triggered a series of other events that prior to 2007 would have been improbable.Privacy and securityMany privacy advocates find such data usage invasive and alarming. There is something inherently intrusive about firms collecting information about individuals in order to predict their behavior. Advocacy efforts include lobbying for limitations to data collection types, amounts and methods in nations across the globe. Executives and data managers must be aware of the ever-changing Big Data regulatory landscape.Privacy is a huge concern for another reason â€" security. Hackers target data storage devices and facilities for financial gain, ideological reasons, and thrills. With many nations holding firms at least partially responsible for the damage caused by loss of secured data, firms must ensure they keep up-to-date with the latest data security measures. If they outsource their data analysis to a business intelligence vendor, they are likewise compelled to ensure that the business intelligence vendor secures the firm’s data appropriately.CASE STUDY © pixabay | WikiImagesPredictive analytics are a major source of competitive advantage for Amazon, so much so that Amazon has taken market share from many brick and mortar retailers across the U.S., and even other parts of the world. Amazon uses predictive analytics to power its recommendation algorithms that help the retailing giant upsell, as well as to make its distribution system more efficient.Amazon provides site visitors with product recommendations based on your viewing history. As that viewing history grows, Amazons algorithms, using the increased data, create increasingly useful and accurate recommendations. The firm also offers discounted pricing, and/or package deals in order to entice you upsell, as well as premium pricing when demand is high and inventory is low.Beyond Amazon’s on-screen predictive analytics applications, the retailer has begun to ship products in advance of customer orders, based on the results of its predictive models. Amazon filed a patent on a †œmethod and system for anticipatory package shipping” in 2012, designed to increase the efficiency of its distribution chain. By harnessing this method during peak volume periods, such as the holidays, Amazon, whose predictive analytics models have already demonstrated a high probability of accuracy, can ensure that it has the inventory on hand to distribute and that goods are distributed beforehand, minimizing customer dissatisfaction.Amazon’s use of predictive analytics has been instrumental in its dominance of the online retail space in the U.S., in which it is the market leader as of 2014, with net sales of nearly $60 billion.

22 Causas de Negación de Ingreso a USA por Inadmisibilidad

Las autoridades de los Estados Unidos pueden negar a cualquier extranjero el ingreso a Estados Unidos  con una o varias  causas de inadmisibilidad. Esto aplica incluso a los residentes permanentes legales. Asimismo, puede aplicar tanto a los que està ¡n fuera del paà ­s como los que ya se encuentran en su interior. Este es una situacià ³n grave y, por ello, este artà ­culo informa sobre cuà ¡les son las causas de inadmisibilidad, cà ³mo surge el problema y dà ³nde y, finalmente, quà © se puede hacer para solucionar el problema. Antes de comenzar, seà ±alar que es muy importante distinguir las  causas de inadmisibilidad, la razà ³n que se da està ¡ seà ±alada con un nà ºmero  212(a),  de las causas de inelegibilidad  que hacen que el cà ³nsul rechace una solicitud de visa por motivo calificado en los documentos oficiales  como 214. 22 causas de inadmisiblidad que impiden el ingreso en Estados Unidos Las causas de inadmisibilidad pueden aplicar tanto a las visas no inmigrante, tipo turista, estudiante, trabajo, intercambio, etc como a las visas de inmigrante, para obtener la green card o tarjeta de residencia. Incluso pueden aplicar a personas que se encuentran legalmente en los Estados Unidos y que solicitan un cambio de estatus. Por ejemplo, una persona con visa H1B que pide la residencia permanente mediante un ajuste de estatus. Las causas de inadmisibilidad, que se conocen en inglà ©s con el nombre de grounds of inadmissibility, son: Carga pà ºblica. Sospecha de que es posible convertirse en una fuente de gasto para las arcas pà ºblicas de Estados Unidos. Por ejemplo, personas enfermas, muy mayores, etc.Sufrir una enfermedad contagiosa, como por ejemplo, tuberculosis.Sufrir una enfermedad fà ­sica o mental que convierta al enfermo en un peligro para otras personas.Consumo de drogas. La expresià ³n que utilizan las autoridades de inmigracià ³n es abusador de drogas y por eso se entiende haber consumido una sustancia ilà ­cita mà ¡s de una vez en los à ºltimos tres aà ±os.Haber cometido o haber sido condenado por un delito inmoral.Haber sido condenado por varios delitos.Haber sido condenado por delitos especà ­ficos tales como trà ¡fico de drogas.Ser familiar de un traficante de drogas si se ha beneficiado de las ganancias de esa actividad en los à ºltimos cinco aà ±os.Haber cometido espionaje o sabotaje.Haber cometido o haber sido condenado por un delito agravado.Haber sido miembro de un partido polà ­tico totalitario, como por ejemplo, un partido comunista, o de un partido nazi.Haber participado en un genocidio.Haber asegurado falsamente que se es ciudadano americano.Haber violado una ley de inmigracià ³n. Hay muchos ejemplos de esta circunstancia, por ejemplo, trabajar en Estados Unidos con una visa que no lo autoriza (turista, etc.)Haber cometido fraude migratorio. Bajo esta categorà ­a caben acciones muy distintas. Presentar documentos falsos ante un oficial migratorio o un consulado es una de ellas. Las mentiras en este contexto pueden resultar muy caras.Estar ilegalmente en Estados Unidos o haber estado si todavà ­a no se cumplià ³ el plazo de la penalidad.Haber sido deportado o expulsado.Haber ingresado a los Estados Unidos sin tener la documentacià ³n necesaria.Estar casado con mà ¡s de una persona al mismo tiempo. Estos son los casos de bigamia y poligamia.Haber realizado un secuestro internacional de nià ±os. Esto ocurre con frecuencia en el caso de papà ¡s y mamà ¡s que no se ponen de acuerdo dà ³nde deben vivir los nià ±os. El problema es que sin darse cuenta se puede estar cometiendo ese delito, que es muy grave.Si se ha tenido una visa de intercambio J-1  y se està ¡ sujeto a la obligacià ³n de residir fuera de Estados Unidos por dos aà ±os.Ser un peligro para la seguridad nacional de los Estados Unidos. Esto incluye pertenencia a pandillas  (gangas). Cabe destacar dos novedades. Por un lado, las nuevas reglas sobre carga pà ºblica, que està ¡n siendo aplicadas desde el 15 de octubre de 2019 por embajadas y consulados tanto para visas inmigrantes como visas temporales no inmigrantes. Por otro lado, esta regla de la carga pà ºblica està ¡ en suspenso, al menos por el momento, por orden judicial dentro de EE.UU. y no pueden ser aplicadas ni por USCIS ni por el Departamento de Seguridad Interna. Por otro lado, a partir del 3 de noviembre de 2019, los consulados y las embajadas podrà ¡n negar las visas de inmigrante para la residencia si el solicitante no puede demostrar en la entrevista que puede adquirir seguro mà ©dico segà ºn los parà ¡metros del Departamento de Estado en los 30 dà ­as siguientes a su ingreso en EE.UU. Quà © puede suceder en estos casos de inadmisibilidad Puede pasar tres cosas: Primero: la visa es denegada por un oficial consular. Tener en cuenta que la visa puede ser rechazada, ademà ¡s, por otras causas, cuando se cree que no se cumplen los requisitos para obtenerlos. Segundo: el oficial de Inmigracià ³n de la CBP (Policà ­a Fronteriza) en un puerto de entrada (aeropuerto, puerto o frontera terrestre) prohà ­be el ingreso tras consultar su completà ­sima base de datos. En estos casos pueden darse dos situaciones: Si se llega al puerto de entrada con una visa o una green card  và ¡lida, en algunas circunstancias es posible solicitar presentarse ante un juez de inmigracià ³n y, en su caso, apelar su decisià ³n ante la Corte de Apelaciones Migratorias.. Pero no siempre es posible. Por ejemplo, en casos de fraude o de haber asegurado falsamente ser ciudadano americano la decisià ³n del oficial de Inmigracià ³n es final. Pero tambià ©n puede suceder que se proceda a regresar a la persona inmediatamente a su lugar de procedencia. Las razones pueden ser varias, como en el ejemplo anterior. Pero tambià ©n sucede en caso como en los que no se tiene visa porque se es de un paà ­s del Programa de Exencià ³n de Visados la decisià ³n del oficial de la CBP es tambià ©n final y no se podrà ¡ solicitar comparecer ante un juez. Y tercera posibilidad: si ya se està ¡ dentro de Estados Unidos, las autoridades migratorias pueden proceder a la remocià ³n de la persona en esa situacià ³n. Quà © se puede hacer en los casos de inadmisibilidad Para algunos de estos supuestos es posible pedir un perdà ³n migratorio, tambià ©n conocido como waiver.  Por ejemplo, en casos de prostitucià ³n, enfermedades contagiosas, riesgo de ser una carga pà ºblica, condenas por delitos inmorales o, incluso, mà ºltiples condenas por delitos. Pero es muy importante entender que las reglas son distintas segà ºn los casos, que no es lo mismo pedir una visa no inmigrante que una inmigrante y que los perdones son medidas excepcionales.  Y tambià ©n hay que tener presente que el poder solicitar un perdà ³n no quiere decir que se vaya a obtener su aprobacià ³n. En estos casos es muy importante contar con la asesorà ­a de un abogado competente y con un buen rà ©cord, que no prometa cosas que, sencillamente, no pueden ser porque la ley no lo permite. Ademà ¡s, tener en cuenta que hay causas de inadmisibilidad para los que no es posible jamà ¡s pedir un perdà ³n. Por ejemplo, trà ¡fico de drogas, terrorismo o espionaje. Finalmente, es realmente aconsejable conocer cà ³mo aplica el castigo de inadmisibilidad de los 3 y de los 10 aà ±os por presencia ilegal en los Estados Unidos y el castigo de la prohibicià ³n permanente. Este à ºltimo es frecuentemente ignorado pero afecta a muchas personas y las consecuencias son muy graves. Este es un artà ­culo informativo. No es asesorà ­a legal.

Application of Ethical Theories - 12285 Words

The role of ethical theories in ethical reasoning and behavior within organizations - Research proposal Sigalit Pasternak, Phd student The Faculty of Management Tel Aviv University Supervisor: Dr. Ishak Saporta Introduction Business ethics is a specialized branch of ethics focusing on how moral standards apply to business organizations and behavior (Velasques, 1998). As such, it cannot be understood separately from the general ideas of ethics, and the general ethical theories apply to business ethics as well (Hunt Vitell, 1986; Fritzsche Becker, 1984; Schumann, 2001; Lahdesnati, 2005). Normative ethical theory offers different moral theories, each prescribing a set of moral rules that individuals can apply in the process of deciding†¦show more content†¦Finally, most of the empirical research on the connection between ethical theories and ethical reasoning is carried out in separation from research on the ethical decision-making process. Although there is a consensus as to the role of important individual and contextual components on ethical decision making within organizations (for review, see Kish – Gephart, Harrison and Trevino, 2010 Meta analysis), relatively little is known about the effect of these components on ethical reasoning within organizations. The third objective of this research is to explore the link between different individual and environmental factors and the application of different ethical theories in ethical reasoning. The proposed research can generate a theoretical contribution to the literature on ethical decision making within organizations in several ways. First, the research attempts to resolve the differences in past research finding in regard to the role of ethical theories in ethical reasoning by examining the connection between the specific content and context of ethical dilemmas and the ethical rule or theory applied by individuals to explain their resolution. Secondly, itShow MoreRelatedThe Application Of Ethical Theories Essay1443 Words   |  6 PagesPASS THE INSPECTION: THE APPLICATION OF ETHICAL THEORIES TO AN ETHICAL DILEMA Discussion with Senior Enlisted Leader This is an instance of senior enlisted, who you should be able to trust, giving you bad advice. When the situation is hypothetical and not a pressing issue, it is easy to see that it would be wrong to allow the Chief to sign off on the maintenance checks. But in the moment, there are good reasons to have the checks signed off. Having the maintenance appear to be complete makes yourRead MoreEthical Theories and Application580 Words   |  2 Pagesï » ¿ETHICAL THEORIES AND APPLICATION Virtue Ethics Virtue ethics consider only the motivation of the acts and not whether or not they are consistent with rules or whether those acts result in benefit or harm to others (Hursthouse, 2003). For example, according to virtue ethics, a person who steals a loaf of bread because he has no money on him is acting ethically if his only motive for that act is to feed a starving person. That analysis differs from other forms of ethical analysis, such as utilitarianismRead MoreEthical Theories and Their Application Business2155 Words   |  9 Pagesorganisation’s corporate culture is supposed to be characterised by ethical behaviours for it to make decisions that are more likely to be socially responsible rather than motivated solely by making profits. Organisations that are committed to long term success recognise and realise that creating a culture where ethical behaviours are rewarded and encouraged is the ultimate key to survival and growth. This paper aims at outlining three ethical theories and to evaluate how business ethics have been violated inRead MoreCmp9500B Comprehensive Exam Solution1570 Words   |  7 PagesQuestion 1: Theory Theories play a vitally important role in guiding research and organizing and making sense of research findings. In spite of the great importance of theory-building and theory testing within your field of specialization, there is no generally accepted conception of what a theory is. Because your dissertation must contribute to theory, you must have a clear understanding of the variety of conceptions of theory, types of theories, and ways of contributing to theory and be ableRead MoreEthical Considerations When You Are Caring For Children And Teens?828 Words   |  4 PagesDiscuss ethical considerations when you are caring for children and teens? Nurses often encounter ethical and social dilemmas that affect individuals and families for whom they provide care. These situations may present more commonly when caring for the pediatric population. Nurses must know how to approach these issues in a knowledgeable and systematic way. Ethics involves defining the best course of action in a presented situation. Ethical reasoning is the analysis of what is morally rightRead MoreEthical Theories Are Different Ways People Can Analyze Ethics820 Words   |  4 PagesWhen a person decides to take action in an event, an ethical standard is most likely in his or her core. Different theories can be examined to study ethics and how they play into a person’s life. No matter what theory is at play, a person’s worldview will always impact his or her ethical standards. For example, an atheist may have a different view on homelessness than a Christian. The atheist and Christian will take different actions, when confronted, because of these worldviews. The study of whyRead MoreEthics And Code Of Ethics1043 Words   |  5 Pagescompetition which can be avoided. Moreover, different models have been developed to assist individuals to make the most ethical decision. For example, the Teleological theories model requires taking alternative which would produce best results. Ethics and code of ethics have various applications in real life, especially for organizations and business. The applications include, code of ethics acts as soft law, the principles set by a company apply to that specific company, they form a guidelineRead MoreTeleological Perspectives Are Based On Various Religious Principles And Moral Standards971 Words   |  4 PagesViews Teleological perspectives are based on various religious principles and moral standards. With numerous religions world-wide the application of teleological theories are virtually impossible to use in a broad sense. For example, many religions forbid medical care and in this case would nullify the situation all together. Pellegrino’s principles for the application of teleological morals to the use of modern medicine, allows for health care needs to be met without the compromise of one’s teleologicalRead MoreUtilitarianism And Utilitarianism887 Words   |  4 PagesUtilitarianism and Kantianism are some of the popular moral philosophical theories that have been used to deliberate on ethical matters in the society. The business world, systems of government, healthcare system, and other facets of the society are dependent on the provisions of these theories. Utilitarianism and Kantianism were developed by Jeremy Bentham and Immanuel Kant respectively. While these theorie s can be applied in a beneficial manner in a wide array of areas, it is clear that KantianismRead MoreThe Similarities and Differences Between Different Ethical Theories651 Words   |  3 PagesEthics: The main aim of any ethical theory is to do what is right and good since it involves moral rules or acting based on specific ethical values. In certain cases, the right and good as well as the ethical rules and values are sometimes common to various ethical theories. Even though ethical theories have different reasons for application, there is an overlap in these theories that result in similar conduct in an ethical situation. There are various ethical theories with differences on how they

Psychology As A Science Free Essays

Psychology being categorised under the name science, can often lead to disputes within the field of sciences. Psychology is the observation of behaviour and thought process of the human mind, within itself it is a vital source of knowledge, such as how biology, chemistry and physics provides a source of knowledge that is vital to humans and the environment. Science can be seen as the study of natural behaviours and physical aspects of the world, this definition within itself accompanies itself with the idea that psychology is a science, as behaviours are studied within the field of psychology. We will write a custom essay sample on Psychology As A Science or any similar topic only for you Order Now Eysenck and Keane (2000) believed that to make something a science it must have the following features, controlled observation, in which a specific manipulation is observed to see the effects. Secondly objectivity, as when data has been collected objectively it reduces the possibility of bias, thirdly testing theoretical predictions, because if a theory is not tested there is no evidence to provide if it is right or wrong. Fourthly is falsifiability, which means the scientific theory has the potential to be proved wrong by evidence, fifthly is the unifying theory which is every subject within the sciences has a unifying approach all theories are based off. Finally there is the fact of is any research conducted replicable, as it is hard to rely on studies that could provide inconsistent findings. Although providing clear guidelines on what makes a science, there are still some aspects which make the divide not as clear as believed. For example psychology uses the scientific method in some of the studies conducted, which is used throughout science for all research, so this aspect can be seen to make psychology a science. Too many the field of psychology is classed as a science; the science of the mind, as it looks at the most complex thing on Earth, the human mind, all theories on behaviours and thoughts stem from psychology (BBC, 2013). In many areas psychology and the three sciences (physics, biology and chemistry) have similarities, for example, the sciences can be seen as reductionist as they try to take a complex behaviour or physical problem and break it down in to a simpler form. Many theories within psychology on similar problems can also be seen as reductionist as it aims to take complex behaviours and thoughts and break it down in to easier components to study. An example of this can be shown by Freud (1909), Freud believes behaviour stems from the unconscious mind, making it a reductionist as it does not take biology or other factors in to account. Reductionism can be seen to be an advantage when it comes to conducting a study as it means testable predictions can be created, and then can be carried out in a controlled experiment. Although by making a reductionist theory can also cause disadvantages such as falsifiability. Popper (1963) believed falsifiability was key to science, as science does not seek to prove its own theory right, but tries to confirm it as wrong. This means that if a theory is un-falsifiable then it is not scientific, psychology in many sectors is falsifiable through problems such as reductionism, but there are also theories that are un-falsifiable as they are untestable such as many of Freuds (1909) theories display, for example the Oedipus complex can neither be proven nor disproven. As well as having issues with falsifiability psychology also lacks the objectivity needed for science to make it truly scientific, as without objectivity the research is prone to becoming bias. Even in experiments such as Skinners (1956) rat experiment can be shown to be subjective, because although the rat is pressing the lever and the lever presses are recorded automatically, it is still down to the opinion of the researcher on when he believes the rat has learnt by pressing the lever they get a treat. This can be counteracted on the bases that psychology has the unique position of studying the human mind which in itself is difficult to operationalize, as not all parts of the behaviour and thoughts can be measured scientifically, which unlike atomic mass or miles per hour in science can be. Science within itself can also come across problematic issues over control and objectivity. An example of this is the Heisenberg Uncertainty Principle â€Å"The more precisely the position is determined, the less precisely the momentum is known in this instant, and vice versa. † (Heisenberg, 1972) which means if something is precisely measured, and a hypothesis is believed to be true, it can often distant the researcher from the actual result. An issue with measuring investigations using the scientific method in general is it can restrict and affect answers within itself. An example is it can be argued that laboratory experiments are very artificial, so do not provide a clear picture of what would happen in real life terms. As well as sharing similarities with science on the basis they both have issues with control and objectivity, they both also share the same goals. They have three aims, the prediction, understanding and control over a study. Scientists and psychologists both put a theory forward, these theories in both cases lead to a creation of a hypotheses, this is the prediction. The next step is the understanding which is when you receive results from a prediction it should give the researcher and anyone reading the report a greater understanding of that subject. Control is the final step, the knowledge gained from the proven hypothesis provides knowledge which can be used to alter certain factors in the world. The three aims of science are according to Allport (1947), psychology follows these same three aims throughout studies, reporting and publishing work just as biology, chemistry and physics do. Throughout psychology the scientific method is used, but not in all areas although science has default problems itself with the scientific method. So it cannot always be said subjects within science always stick within the scientific boundaries themselves. Another point within psychology is psychology is a ‘new’ science, biology, chemistry and physics have been in service for a good period longer, so it may be in time more likely to be classed as a science. Nevertheless Miller (1983) would argue psychology is just a pseudoscience, an approach that claims to be scientific but does not have the key principles of science, he claims this can be dangerous as psychology is claiming to be a science, it provides the false ideal that their findings is ‘fact’. Although in comparison it could be argued that there is no ultimate knowledge of human’s behaviours and thoughts, so there must be a science to take over this role of discovering behaviours and thoughts. Science may study the physical aspects of the brain e. g. hormones that can be proven through empirical evidence, but it does not study the unknown areas such as behaviours, this is where psychology can provide answers. For example Piaget’s (1966) stages of development theory, that people develop starting at the pre-concrete stage and move throughout these stages until they reach the formal stage, science does not provide an answer for how humans develop in this sense. In conclusion psychology may seem like a vague  subject with no clear goals or guidelines, but it does have aims, its aim is to study the mind, the way people behave and think. Science still has unexplainable occurrences, that have no empirical evidence so in turn cannot be falsified, which in itself should make it not scientific. Psychology can provide answers for what science cannot explain, such as how memories are stored, psychology provides a theory for this whereas science does not. In conclusion psychology can be seen as a science to explain human behaviour that other sciences cannot. How to cite Psychology As A Science, Papers

The Effects Of Steroids On Muscle Training Essays -

The Effects Of Steroids On Muscle Training What are steroids? Steroids are synthetic chemicals that mimic the hormones produced by the body. Hormones control bodily functions and are separated into various classifications such as adrenal, cortical, cardiac, bile salts, vitamins, and sex hormones. Anabolic steroids that build muscle tissue are classified as sex hormones and they stimulate the action of the male sex hormone testosterone. When testosterone is released at the appropriate time it has the natural effects of creating body size, bone size, body hair, sex organ maturation, and muscle tissue development. They often have many different trade names or brand names. Commonly used anabolic steroids are Anavar, Sustanon, and Dianabol. Anabolic steroids are prescription-only medicines. They are not controlled under the misuse of drugs act. It is not illegal to possess them for personal use. It is an offense to supply them. They can only be acquired from a chemist with a doctor's prescription. In addition, there is a large illicit market in anabolic steroids. The primary use of anabolic-androgenic steroids is in replacement therapy for male testosterone. Other medical uses include growth promotion in certain forms of stunted growth, osteoporosis, mammary carcinoma, animas, and hereditary angioneurotic edema. The use of various physical and chemical aids in performance enhancement has been a feature of athletic competition since the beginning of recorded history. The ancient Greeks ate sesame seeds, bufotenin was used by the berserks in Norwegian mythology, and the Andean Indians and the Australian aborigines chewed, respectively, coca leaves and the pituri plant for stimulating and anti-fatiguing effects (Bowman, 1980). Athletes have used anabolic steroids to enhance appearance and performance for years. The first ergogenic use of anabolic-androgenic steroids was reported back in the 1950's among weightlifters and bodybuilders. Bowman reported that one-third of a sample of elite track and field athletes in Great Britain admitted to systematic anabolic-androgenic steroid use by 1972 (Bowman, 1980). Silvester reported that 68% of a sample interviewed at the 1972 Olympic Games from 7 different countries, and who were competing in such diverse activities as throwing, jumping, vaulting, sprinting, and running up to 5000m, admitted to having used anabolic-androgenic steroids (Bowman, 1980). Although it was actually suggested early in 1973 and stressed later, it is now evident that the use of anabolic-androgenic steroids is not limited to the elite athletes but has now trickled down to the amateur, professional, college, high school, and even junior high athletes. Due to the estimated prevalence of non-med ical anabolic-androgenic steroid use and the implications for society and public health there were several scientific meetings set up. Moreover, a technical review at the National Institute on Drug Abuse in 1989 was set up, and both federal and state investigations to reclassify anabolic-androgenic steroids as controlled substances despite arguments from the American Medical Association. Patterns of anabolic-androgenic steroid use among athletes have been determined from several surveys. Hickson and Kurowski interviewed 24 weight-training athletes at a gymnasium in a metropolitan area of the southwestern United States. The Subjects surveyed took a combined steroid dose of four to eight times the recommended medical dose, Used more than one anabolic-androgenic steroid at a time, which is known as stacking, and combined the use of intravenous and oral anabolic-androgenic steroids (Hickson, 1986, p. 465). Although Hickson and Kurowski questioned a specific sample of anabolic-androgenic steroid users, they concluded that their subjects seemed to be representative of the type of athletes who used anabolic-androgenic steroids. Two other groups of people also conducted very similar surveys and found that their subjects were also taking well over the recommended medical dose. In 1990 Baldoenzi and Giada conducted a survey and found that 110 out of 250 weightlifters he interviewed in several gymnasiums in the metropolitan Chicago area, many of, which had no intentions of being competitive, also used a variety of anabolic-androgenic steroids. 50 weightlifters were interviewed in detail, a majority had no competitive interests in weightlifting, bodybuilding, or any other athletic event just used the steroids because they wanted to. Baldoenzi and Giada concluded that anabolic-androgenic steroid abuse had reached alarming proportions in noncompetitive athletes (Baldoenzi, 1990, p. 205). The Buckley survey in 1988 suggests that one-quarter to one-half million adolescents in the United States has used or

Samuel Slater and the Textile Revolution

Samuel Slater and the Textile Revolution Samuel Slater is an American inventor who was born on June 9, 1768.  He built several successful cotton mills in New England and established the town of Slatersville, Rhode Island.  His accomplishments have led many to consider him to be the Father of American Industry and the Founder of the American Industrial Revolution.   Coming to America During the United States early years,  Benjamin Franklin and the Pennsylvania Society for the Encouragement of Manufactures and Useful Arts offered cash prizes for any inventions that improved the textile industry in America. At the time, Slater was a young man living In Milford, England who heard that inventive genius was rewarded in America and decided to emigrate. At the age of 14, he had been an apprentice to Jedediah Strutt, a partner of Richard Arkwright  and  was employed in the counting-house and the textile mill, where he learned a lot about the textile business. Slater defied the British law against the emigration of textile workers in order to seek his fortune in America. He arrived in New York in 1789  and wrote to Moses Brown of Pawtucket to offer his services as a textile expert. Brown invited Slater to Pawtucket to see whether he could run the spindles that Brown had bought from the men of Providence. If thou canst do what thou sayest, wrote Brown, I invite thee to come to Rhode Island. Arriving in Pawtucket in 1790, Slater declared the machines worthless and convinced Almy and Brown that he knew the textile business enough to him a partner. Without drawings or models of any English textile machinery, he proceeded to build machines himself. On December 20, 1790, Slater had built carding, drawing, roving machines and two seventy-two spindled spinning frames. A water-wheel taken from an old mill furnished the power. Slaters new machinery worked and worked well. Spinning Mills and the Textile Revolution This was the birth of the spinning industry in the United States. The new textile mill dubbed the Old Factory was built at Pawtucket in 1793. Five years later, Slater and others built a second mill. And in 1806, after Slater was joined by his brother, he built another. Workmen came to work for Slater solely to learn about his machines and then left him to set up textile mills for themselves. Mills were built not only in New England but in other States. By 1809, there were 62 spinning mills in operation in the country, with thirty-one thousand spindles and twenty-five more mills being built or in the planning stages. Soon enough, the industry was firmly established in the United States. The yarn was sold to housewives for domestic use or  to professional weavers who made cloth for sale. This industry continued for years. Not only in New England, but also in those other parts of the country where spinning machinery had been introduced. In 1791, Slater married  Hannah Wilkinson, who would go on to invent two-ply thread and become the first American woman to receive a patent.​ ​Slater and Hannah had 10 children together, although four died during infancy. Hannah Slater died in 1812 from complications of childbirth, leaving her husband with six young children to raise. Slater would marry for a second time in 1817 to a widow named Esther Parkinson.

How to Use String Substitution in Ruby

How to Use String Substitution in Ruby Splitting a string is only one way to manipulate string data. You can also make substitutions to replace one part of a string with another string. For instance, in an example string (foo,bar,baz) replacing foo with boo in would yield boo,bar,baz. You can do this and many more things using the sub and gsub method in the string class. Many Options for Ruby Substitution The substitution methods come in two varieties. The sub method is the most basic of the two and comes with the least number of surprises. It simply replaces the first instance of the designated pattern with the replacement. Whereas sub only replaces the first instance, the gsub method replaces every instance of the pattern with the replacement. In addition, both sub and gsub have sub! and gsub! counterparts. Remember, methods in Ruby that end in an exclamation point alter the variable in place instead of returning a modified copy. Search and Replace The most basic usage of the substitution methods is to replace one static search string with one static replacement string. In the above example, foo was replaced with boo. This can be done for the first occurrence of foo in the string using the sub method or with all occurrences of foo using the gsub method. #!/usr/bin/env rubya foo,bar,bazb a.sub( foo, boo )puts b $ ./1.rbfoo,bar,bazgsub$ ./1.rbboo,bar,baz Flexible Searching Searching for static strings can only go so far. Eventually, youll run into cases where a subset of strings or strings with optional components will need to be matched. The substitution methods can, of course, match regular expressions instead of static strings. This allows them to be much more flexible and match virtually any text you can dream up. This example is a little more real world. Imagine a set of comma-separated values. These values are fed into a tabulation program over which you have no control (closed source). The program that generates these values is closed source as well, but its outputting some badly-formatted data. Some fields have spaces after the comma and this is causing the tabulator program to break. One possible solution is to write a Ruby program to act as glue, or a filter, between the two programs. This Ruby program will fix any problems in the data formatting so the tabulator can do its job. To do this, its quite simple: replace a comma followed by a number of spaces with just a comma. #!/usr/bin/env rubySTDIN.each do|l|l.gsub!( /, /, , )puts lend gsub$ cat data.txt10, 20, 3012.8, 10.4,11gsub$ cat data.txt | ./2.rb10,20,3012.8,10.4,11 Flexible Replacements Now imagine this situation. In addition to the minor formatting errors, the program that produces the data produces number data in scientific notation. The tabulator program doesnt understand this, so youre going to have to replace it. Obviously, a simple gsub wont do here because the replacement will be different every time the replacement is done. Luckily, the substitution methods can take a block for the substitution arguments. For each time the search string is found, the text that matched the search string (or regex) is passed to this block. The value yielded by the block is used as the substitution string. In this example, a floating point number in scientific notation form (such as 1.232e4) is converted to a normal number with a decimal point. The string is converted to a number with to_f, then the number is formatted using a format string. #!/usr/bin/env rubySTDIN.each do|l|l.gsub!( /-?\d\.\de-?\d/) do|n|%.3f % n.to_fendl.gsub!( /, /, , )puts lend gsub$ cat floatdata.txt2.215e-1, 54, 113.15668e6, 21, 7gsub$ cat floatdata.txt | ./3.rb0.222,54,113156680.000,21,7 Not Familiar With Regular Expressions? Lets take a step back and look at that regular expression. It looks cryptic and complicated, but its very simple. If youre not familiar with regular expressions, they can be quite cryptic. However, once you are familiar with them, theyre straightforward and natural methods of describing text. There are a number of elements, and several of the elements have quantifiers. The primary element here is the \d character class. This will match any digit, the characters 0 through 9. The quantifier is used with the digit character class to signify that one or more of these digits should be matched in a row. You have three groups of digits, two separated by a . and the other separated by the letter e (for exponent). The second element floating around is the minus character, which uses the ? quantifier. This means zero or one of these elements. So, in short, there may or may not be negative signs at the beginning of the number or exponent. The two other elements are the . (period) character and the e character. Combine all this, and you get a regular expression (or set of rules for matching text) that matches numbers in scientific form (such as 12.34e56).

Science, Technology, Engineering and Mathematics Education Article

Science, Technology, Engineering and Mathematics Education - Article Example The first section of the article has been set apart to make an in-depth study of the STEM education situation in the US utilizing all the data available from previous studies. The second section comprises of a detailed review of the existing federal programs in this context, with a focus on a few selected programs. The third and final section has dealt with the legislative options being considered by federal authority to implement remedial measures. The article introduces the topic by saying that many studies had found the country lacking in sufficient numbers of students, qualified teachers and skilled practitioners in STEM sectors. In the article, the gravity of this situation is described using relevant figures and the measures were taken by the government to rectify this problem are also analyzed. It is pointed out that in a recent international assessment, carried out among 15-year old students, â€Å"the US ranked 28th in math literacy, and 24th in science literacy (Kuenzi, 20 08, p.1).† The article also has suggested that this has to be understood in the backdrop of â€Å"many US math and science teachers lack(ing) an undergraduate major or minor in those fields† (Kuenzi, 2008, p.1). It is specifically noted in this article that â€Å"the US ranks 20th among all nations in the proportion of 24-year olds who earn degrees in natural science or engineering (Kuenzi, 2008, p.2).† The legislation introduced in the 110th Congress based on previous study reports have been thoroughly scrutinized by Kuenzi’s article. The purpose of the report is stated as â€Å"to put these legislative proposals into a useful context† (Kuenzi, 2008, p.3)

Love. Operations Management Essay Example | Topics and Well Written Essays - 1750 words

Love. Operations Management - Essay Example It also ensures that business operations in an organization are efficient, that is, using few resources effectively for production and having a maximum output. A process design (layout) is the arrangement of facilities in an organization that has the same functions and brings together similar activities. The importance of the layout is that it minimizes the functions that are related to travels, which means the total material cost in travel time and distance is reduced. For example, layout problems involve the location of facilities in a plant. Other important factor includes flexibility, motivation and system protection. In an organization like IKEA layout contributes to the total efficiency of operations and will greatly reduce the total operation cost by over 50%. Hayes and Wheelwright came up with a capability and maturity model that explains how an operation could move from being a barrier to strategic success (Hill and Jones, 2011). Stage one is about being an innovator and creator of opportunities and the last stage suggests that operation capabilities should improve so as to make the strategic impact on the operation function. This model is important to organizations since it provides a way of moving from being a barrier to achieving success. Material requirement planning (MRP) is a technique that assists an organization in a detailed planning of its production. The importance of MRP is that it ensures all products and materials are in line and helps in planning a manufacturing scheme. If a company is planning to excel in its objectives, it should look for the best performance strategies at place; ranging from 4vs which are volume, variation, visibility and variety, performance objective and market requirement planning. The secret to a customer’s satisfaction at IKEA lies in the 4v’s strategy. If a company wants to perform in the sales market, it must consider all aspects of the 4v, volume

The USA Immigration Problem Essay -- Immgration Immigrants Population

The USA Immigration Problem Immigration is a major problem facing the U.S. today. Hundreds of thousands of immigrants flock to this country every year. Some legally, others illegally. Some are escaping from religious and political oppression while others come to seek out the "American Dream". Either way they are causing nationwide problems. Non-English speaking workers take jobs away from American people because they will work for cheaper wages. Illegal immigrants receive welfare and health care and the money to fund this comes straight from us, the citizens of the United States. Some limitations have to be put on the number of immigrants allowed each year and much stricter border patrols must be installed. Harsher punishments and frequent checks are necessary to keep corporations from hiring illegal aliens. We need to do something about this problem before its to late.   Ã‚  Ã‚  Ã‚  Ã‚  The number of legal immigrants should definitely be lowered to a much more reasonable number. Right now, an average of over 600,000 legal immigrants are granted access to the country. I believe this number should be cut in half. We need to focus on problems facing American citizens, such as poverty, AIDS, cancer, and unemployment. We don't need 300,00 more people to deal with, we have enough problems with the currents population.   Ã‚  Ã‚  Ã‚  Ã‚  I don't think certain ethnic groups should be give preference over another group but I think educated workers who can speak English should be gran...

Coetzee’s Use of Humor in Disgrace (1999) Essay

After reading Coetzee’s novel (1999) and then the literary criticisms that followed its publication, the inevitable conclusion was that the many different interpretations of the novel demonstrated it reached readers in highly individual ways.   Indeed, it seemed that many of the criticisms were of different books.   The purpose of this paper was to focus on an aspect of the novel that has received little attention, Coetzee’s liberal use of humor or satire in the context of city life in post-Apartheid South Africa during the late 1990s from the viewpoint of the main character, David Lurie in the first section of the novel. Lurie taught at Cape Technical University, previously Cape Town University College.   Because of low student enrollment, the Department of Classics and Modern Languages had been closed and Lurie had been assigned to teach courses in Communications Skills and a single course a year of his own choice in an area of his specialization, Romantic Poetry.   When Lurie, 52-years-old at the time of the novel, had been younger, his impressive physical appearance had allowed him to attract women of his choice with little effort. Attracting women had become more difficult as he aged, and became even more difficult when Apartheid ended and many of its victims, who obviously did not idolize white male â€Å"scholars,† became university students and then faculty.   The views of these students spread to white women, who already had lacked power, relative to white men, before Apartheid ended.   Thus the feminist and civil rights movements that were active in the 1960s in the United States and other democracies in Western Europe did not begin in South Africa until the 1990s, when Apartheid ended. David Lurie’s Story At the beginning of Coetzee’s novel (1999), Lurie was thoroughly satisfied having sex once a week with a beautiful Muslim woman, paying an â€Å"escort† service.   Less satisfactory was his next â€Å"escort,† followed by a secretary in his university department.   Knowing the risk presented by new university policies, he nonetheless seduced a young student taking his course, Melanie, when he accidentally encountered her while on his way home.   Her feelings were clear only the second time they had sex. He had gone to her apartment, she had said â€Å"no† (using her concern that her cousin/roommate would soon return as an excuse), he continued and though she did not fight him, she seemed to â€Å"play dead,† waiting for him to finish.   In his own mind, he concluded that what he did was â€Å"not rape, not quite that, but undesired nonetheless† (p. 25). Later, after she had filed a complaint, he met with the disciplinary committee, composed of faculty (and one non-voting student), and readily admitted his guilt.   However, he refused to offer additional information that they needed in order to recommend to the Rector of the University a course of action other than dismissal.   The Rector, in an effort to avoid asking for Lurie’s resignation, asked him to sign a statement expressing remorse, already written for him by a member of the committee. After refusing to sign and being dismissed, Lurie visited his daughter, Lucy, at her home in a rural area of South Africa, where the satire in the first section inevitably lessened (though did not disappear) because of the most harrowing central event of the second section, the brutal gang-rape of Lurie’s daughter, Lucy, when the rapists also set Lurie on fire and locked him in the bathroom, shot the dogs at Lucy’s kennel, and then leave in Lurie’s car. Criticisms Related to Lurie’s Hearing in Coetzee (1999) One argument against publishing the novel was made by â€Å"prominent South Africans† who were opposed to presenting â€Å"a damaging image of the country† (Attridge, 2002, p. 315).   This argument did not recognize the difference between publicizing historical events and valuing literature, and â€Å"that the only responsible way to engage with Disgrace is as a literary work† (p. 319).   Based on this premise, only literary criticisms have been discussed below.   Few of these criticisms even recognized elements of the novel that were humorous or satiric. Many interpretations had in common a view of Lurie as a symbol of the white male aristocratic elite, a man who had tried to retain the Apartheid privileges of his race and gender, in particular, freedom to initiate sexual relationships with young women who were their students (Boehmer, 2002; Cornwall, 2002; Graham, 2003; Saunders, 2005).    While the view of these critics did, in fact, reflect Lurie’s view of himself, the critics also shared Lurie’s own failure to recognize that the techniques he used to try seducing his women students were thoroughly ineffective for reasons unrelated to any differences in the academic abilities of students before and after the end of Apartheid. For example, as Lurie did recognize, his sexual conquests of earlier years required him to use no techniques at all because women were drawn to his impressive physical appearance.   As he aged, seduction required effort and he hadn’t a clue as to what would and would not render him appealing to young women, regardless of their color. His lack of awareness of the impression he made on others went to the extreme of him not even being able to pay Soraya, a professional from the escort service to continue what he considered a genuine relationship, probably because she found it frightening that he seemed to be following her.   Although she could not have been aware of his fantasies about having sex while her two children watched, it would be understandable for her to have been concerned about the safety of her children because she no longer was able to keep her actual identity private, a precaution any professional prostitute should take. However, Sarvan’s conclusion (2004, p. 27) that the fantasies Lurie (or anyone) had to increase arousal while having sex indicated he had a †moral sickness† was funny enough for Coetzee to have used in the novel itself.   As Attridge (2000) noted, increased â€Å"puritanical surveillance† of once â€Å"private details of sexual intimacy† was not limited to South Africa, but instead reflected the world in general, â€Å"notably . . . the United States† (p. 103) and that in the first section of the book, Coetzee’s writing frequently used â€Å"satire† (p. 103). Lurie recognized that he had â€Å"never been much of a teacher† (p. 4) and after reading a sample of how he taught what did interest him, Wordsworth (when seducing Melanie, he told her that â€Å"the harmonies of The Prelude have echoed within him for as long as he can remember,† p. 13), one shudders to imagine him doing a worse job in teaching Communications (p. 4). Coetzee provided a very brief sample of part of a class on Romantic Poetry Lurie taught (p. 21), so brief that it was funny, rather than mind-numbing as an entire lecture would have been.   After reading a passage from The Prelude, he asked the students why Mont Blanc had been â€Å"a disappointment† (p. 21).   He then pedantically asked them what he already knew – that, of course, none of them had looked up a dictionary definition of â€Å"the unusual verb form usurp upon† (p. 21). Although without a dictionary, context would probably permit automatically inferring a meaning such as â€Å"intrude upon,† Lurie implied the passage would have been clear had they known â€Å"that usurp upon means to intrude or encroach upon. Usurp, to take over entirely, is the perfective of usurp upon, usurping completes the act of usurping upon† (p. 21).   When he was younger, it would seem clear that the young women in his classes found him sexually attractive because they were looking at him, rather than listening. Regarding Lurie’s sexual relationship with Melanie, Lurie did not seem to know whether she was attracted to him, sexually or otherwise.   That she did not resist him when he had sex with her after she had said â€Å"no† could have been because she recognized she could be safe from physical harm – or even that he’d leave more quickly – if she were passive. When she returned to stay at his home, her reason might have been because she feared her boyfriend or that Lurie correctly understood that she did and had a right to manipulate him regarding her attendance and work in his class.   There was no evidence that she feared his â€Å"power† to manipulate her grade in his course. After Melanie had filed a formal charge of sexual harassment (and Lurie really did not have a way of knowing whether or not she was pressured to do so), several criticisms (Boehmer, 2002; Cornwall, 2002; Graham, 2003; Saunders, 2005) seemed to accept Professor Farodia Rassool’s argument that they needed to evaluate whether a statement from Lurie â€Å"comes from his heart† and whether a statement expressing â€Å"contrition† reflected his â€Å"sincere feelings† (p. 54).   Lurie’s term â€Å"preposterous† (p. 55) was literally accurate in the sense that it is not possible to determine the sincerity of a written statement, but it also was difficult to understand why Lurie, who had never before showed any concern about being deceitful, suddenly became a man with principles. He did seem to be mocking Rassool – but it also appeared obvious that she was a humorless woman and regardless of race, she was supported, and without particular warmth, only by the two other women who had been present at a time when she spoke. It indeed was astonishing that Saunders (2005) could have made an obvious error of fact had she read the book, stating â€Å"the faculty committee [italics added] indignantly objects to Lurie’s ‘acceptance of charges’ without remorse† (p. 99). Saunders repeated her erroneous treatment of the Committee as united in the next three pages, Lurie’s â€Å"response does not, from the committee’s perspective, meet the demands of ethical responsibility† (p. 100), â€Å"†¦the committee isn’t convinced that Lurie’s admission is a reflection of his sincere feelings† (p. 101), and â€Å"Lurie’s performance does not fulfill the expectation, shared by the novel’s committee of inquiry †¦ that remorse and transformation† were â€Å"publicly acknowledged† (p. 102).   How was it possible to fail to recognize that the three men at the hearing, â€Å"Aram Hakim, sleek and youthful† (p. 40), â€Å"Manas Mathabane,† the chair of the Hearing (p. 47), and â€Å"Desmond Swarts, Dean of Engineering† (p. 47) had no such expectations, but instead made it clear they wanted Lurie to let them help him avoid being asked to resign? Swarts, for example, said â€Å"David†¦We would like to find a way for you to continue with your career† (p. 52) and Hakim immediately after said â€Å"We would like to help you, David, find a way out of what must be a nightmare† (p. 52). After Rassool urged that the Committee â€Å"impose the severest penalty† (p. 51), Mathabane responded, â€Å"Let me remind you again, Dr. Rassool†¦it is not up to us to impose penalties† (p. 51).   Lurie recognized the men were â€Å"his friends†¦They want him back in the classroom† (p. 52). There was no response after he noted, â€Å"In the chorus of goodwill†¦I hear no female voices† (p. 52), but, oddly, Lurie did not seem to remember that prior to the Hearing, the only other person mentioned as a member of the Committee was a faculty member who â€Å"teaches in the Business School† (p. 47).   During the Hearing, she was presented as â€Å"a young woman,† but her question about his willingness to seek help of any kind (â€Å"a priest, for instance, or a counsellor,† p. 49) suggested she shared the confusion of the men about his refusal to simply save his job, regardless of his opinion, but had no desire either to persuade him to do so or to cause him harm. At the preliminary meeting, the chair of his department was present, a woman who, according to Lurie, regarded â€Å"him as a hangover from the past, the sooner cleared away the better† (p. 40), but the reader had no way of knowing whether she cared about him at all or might in fact want to replace him not because of his discipline but because she would prefer hiring a person who could teach. Coetzee did give the woman who wanted him to express â€Å"contrition† that came from â€Å"his heart† a name indicating she was â€Å"colored† (at least at the time of the novel, no-one suggested it was problematic to divide people into two racial groups – white and non-white, the reason for using the term â€Å"colored†). Combined with Lurie having had sex with a young student who also was not white, Coetzee clearly intended to introduce ambiguity regarding Rassool’s intended meaning of Lurie’s failure to â€Å"mention the long history of exploitation of which this is part† (p. 53).   However, there was no justification for Cornwall (2002) using the races of Rassool and Melanie to reach the (inelegantly worded) conclusion that their relationship can â€Å"be seen to be informed not only by the power relations of patriarchy and the academy but also by those of race; their encounter is contextualized within the several centuries of colonial history in which white men debauched black women with impunity† (p. 315). While many of the conclusions in criticisms related to the experiences that led to and occurred during Lurie’s Hearing were that there was a need for him to express contrition or remorse, the actual events in the novel, as described above, led to the conclusion that Lurie was more of an unintentional anti-hero than sinner. Whatever his reasons were, as an anti-hero, he flaunted both social conventions regarding treating women with respect and â€Å"politically correct† jargon, such as women victims of the â€Å"patriarchy.†Ã‚   Should we thus admire him for the relationships he had with women?   Of course not.   Perhaps the most well-known sexual anti-hero was another Professor, self-confessed pedophile Humbert Humbert (Nabokov, 1955), who demonstrated that indeed the vilest of behaviors can simultaneously be the most comic. While Lurie’s offensive behaviors pale in comparison to those of Professor Humbert, it would seem difficult to fail to recognize that both his typically inept efforts at seduction and his more successful ability to bring out the silliest of exercises in political correctness resulted in devastating humor at an extremely difficult period in South Africa. References Attridge, D. (2000).   Age of bronze, state of grace:   Music and   Ã‚  Ã‚  Ã‚   dogs in J. M. Coetzee’s Disgrace.   Novel, 34, 98-121. Attridge, D. (2002).   J. M. Coetzee’s Disgrace:   Introduction.   Ã‚  Ã‚  Ã‚   Interventions, 4, 315-320. Boehme, E. (2002).   Not saying sorry, not speaking pain:   Gender   Ã‚  Ã‚  Ã‚   implications in Disgrace.   Interventions, 4, 342-351. Coetzee, J. M. (1999).   Disgrace. New York: Viking. Cornwall, G. (2002).   Realism, rape, and J. M. Coetzee’s   Ã‚  Ã‚  Ã‚   Disgrace.   Critique, 43, 307-316. Graham, L. V. (2003).   Reading the unspeakable: Rape in J. M.   Ã‚  Ã‚  Ã‚   Coetzee’s Disgrace.   Journal of Southern African Studies,   Ã‚  Ã‚  Ã‚   29, 432-444. Nabakov, V. (1955).   Lolita.   New York: G. P. Putnam’s Sons. Sarvan, C. (2004).   Disgrace: A path to grace?   World   Ã‚  Ã‚  Ã‚   Literature Today, 26-29. Saunders, R. (2005).   Disgrace in the time of a Truth   Ã‚  Ã‚  Ã‚   Commission.   Parallex, 11, 99-106.

Canadas Universal System Of Public Health Insurance

Wayne Thidodeau, of the Guardian press, reported that a 29- year old woman, nine weeks pregnant lost her baby at County Hospital in Summerside after waiting more than three hours in the emergency room (the Guardian reports 2010). The article further states that Christine Handrahan was rushed to the hospital because of her excessive bleeding. After more than three hours of extensive wait and lack of attention Christine Handrahan lost her first baby. Since 1937 universal health care has being accorded to legal residents of Canada. This universal health care system founded by Tommy Douglas with the aid of some organizations such as Canada health act. According to Mary Wiktorowicz, Canada has a universal system of public health insurance, in†¦show more content†¦History Tommy Douglas also known as the father of Medicare introduced the existence of universal health care in 1947. This care is set out to help improve health and standard of living making the government responsible for setting rules for Canada health act. Along side with other organization such as Canada Health Act, universal health still exists in Canada till date. Mary Wiktorowicz stated there were oppositions such as Canadian Medical Association, tried to block the medical care act I 1957.(Raphael,Bryant,Rioux, 2006 p. 247). Despite the fact that universal health care system is meant to make things better, the long waits, low budget and shortage of health workers are all the same topics that trigger interests in the face of health maintenance. Issues Despite the accessibility Canadians have to universal health, there are many causes of long waits, shortage of health workers and low budget. Wait time has increased because of the lack of follow up; the government owns the health care services so less supervision is assigned to services. According to Cbc report Canadians wait longer in hospital emergency departments than people in other countries with publicly funded health-care systems (Cbc 2014). In relation to long wait times, shortage of health workers is another big issue Canadians face.