Take Care with Dysphemisms

Take Care with Dysphemisms Take Care with Dysphemisms Take Care with Dysphemisms By Mark Nichol You probably know what a euphemism is: putting lipstick on a pig, as in using the expression â€Å"pass away† in place of the word die, or â€Å"enhanced interrogation† instead of torture. Is dysphemism essentially, the opposite concept any more problematic? Just as a euphemism cloaks a disagreeable or offensive concept with an innocuous or vague label, dysphemism assigns a mildly or scathingly pejorative term to a concept or person that may be considered neutral or positive or may already have a negative connotation or reputation. For example, doctors are sometimes called quacks, and psychiatrists and psychologists are often referred to as shrinks. (Quack derives from quacksalver, from a Dutch word meaning â€Å"seller of salves,† or ointments; quack is equivalent to hawk, a verb meaning â€Å"to sell by calling out.† Shrink is a truncation of â€Å"head shrinker,† from the idea that mental health professionals are no more knowledgeable about the mind than witch doctors who shrink human heads for ritualistic purposes.) Shrink is often used inoffensively, even by psychiatric patients or by psychiatrists themselves. But quack denotes an unscrupulous doctor or someone posing as a doctor or otherwise fraudulently offering to heal others and is rarely used jocularly. Because of the variable connotations among dysphemisms, writers should take care when considering whether to use them. Such terms are unlikely to appear in formal writing, but they may show up in more casual prose, especially in opinionated comments. An accountant might, in jest, refer to himself as a bean counter, but the connotation is of an excessively meticulous person unable to focus on anything other than saving money, and the term is generally offensive. An attorney, on the other hand, would never call herself a shyster, even in a moment of levity, and the word is provocative. â€Å"City slicker†? I’m a relative newcomer to a rural area from a metropolitan one, and I might jokingly self-identify as such, but for anyone else who might think of calling me that, as the (mis)quote from a Gary Cooper movie goes, â€Å"Mister, smile when you call me that.† The same policy applies to tree-hugger or redneck, bookworm or â€Å"frat boy,† â€Å"pencil pusher† or â€Å"talking head†: Use with caution. Want to improve your English in five minutes a day? Get a subscription and start receiving our writing tips and exercises daily! Keep learning! Browse the Business Writing category, check our popular posts, or choose a related post below:Comparative Forms of AdjectivesTop 11 Writing Apps for iOS (iPhone and iPad)Ebook, eBook, ebook or e-book?

Western Society Essay Example | Topics and Well Written Essays - 500 words

Western Society - Essay Example For instance, the creation of unions such as the National Union of Womens Suffrage Societies which advocated for peaceful approaches (Harrison, 2012). At the time most people, especially men, were opposed to the groups citing the inferior nature of women in the society. The role of the woman at the time was limited to the household setting where they played a lesser role to that of women (Harrison, 2012). From this perspective, the women right to vote was not considered as an option. In addition, women in support of the movement groups were viewed as rebellious and morally and ethically wrong. As technology advanced, the perception on war was based on the assumption that the better a country was technologically equipped with weapons, the more likely they were to win the war. This was a shift from the preference of the proper use of military action. For instance, the invention of nuclear weapons changed the perspective of war (Hopkins, 2007). A country well supplied with nuclear weapons could easily match any conventional military action. For this reason, many countries sort to align themselves with the best and deadliest nuclear weapons. In addition, nations with the resources to develop nuclear weapons were the only parties to enjoy its benefits. Consequently, these changes increased the aims and objectives of imperialism. Rich and more technological advanced nations were able to control and command poor nations. On most occasions, poor nations feared instances of war which they knew they could lose. For instance, the technology available for the United States and the So viet Union increased their global superiority reign (Hopkins, 2007). The escalation of the cold war was in three phases. The first phase began two years after the end of the Second World War. The USSR ensured it controlled states in Eastern Europe while the United States created a global strategy to minimize the significance of the soviets. The U.S supported countries in Western

Greenhouse gas emissions Assignment Example | Topics and Well Written Essays - 250 words

Greenhouse gas emissions - Assignment Example Fluorinated gases in combination with chlorinated gases form chloro-fluoro carbon or CFC which are the major factors responsible for deteriorating the quality of Earths atmosphere. They are responsible for the depletion of Ozone layer, paving the way for harmful uv radiation in the planet. Green house gases take up and give off radiations in the thermal infrared range and hence lay the foundation for green house effect, a rise in temperature. Therefore, Green house gases greatly affect the temperature of the earth, causing an exponential rise in the planets temperature. This has resulted in alteration in surface climate, precipitation, famine and surface hydrology, transformation in the open environment, modifications in tropics, subtropics and in the monsoons, conversions in atmospheric conditions, climatic variations and melting of glaciers causing elevation of the sea level. The temperature of the planet is severely affected by these green house gases and the situation has become alarming. In view of this various countries have joined hands to reduce the use of those commodities which are responsible for the emission of GHGs. It is still only the beginning and we have a long way to march down to prevent the further deterioration of the

Professional meeting report Essay Example | Topics and Well Written Essays - 250 words

Professional meeting report - Essay Example As being a completely new topic for me, the presentation was quite helpful in developing my understanding regarding how I might get confused if I remain focused on following initial illness evaluation procedures such as signs along with symptoms. The presentation also helped me in understanding the fact that the presence of an open mind and close attention to every minute detail might help me in attaining better returns. As a learning outcome, I understood that the place and profession undertaken by an individual also impacts his / her physical and mental conditions as can be appropriately understood from the second case (University of Washington, â€Å"Cultural Relevance in End-of-Life Care.†). In an overall manner, this presentation will certainly aid me in helping the patients suffering with varied diseases from a wider and effective perspective. For attaining this particular objective, I need to evaluate each and every detail about the patients like preferred foods, profession, locality and subjection period to illness. Knowledge regarding aspects such as cultural back ground and financial condition of the patients will also help in enhancing my career as an effective dietician (University of Washington, â€Å"Cultural Relevance in End-of-Life

Approaches to Data Cleaning

Approaches to Data Cleaning Data Cleaning approaches: generally, data cleaning contains several steps Data Analysis: A detailed analysis is required to check what type of inconsistencies and errors are to be resolved. An analysis program should be used along with manual analysis of data to identify data quality problems and to extract metadata. Characterization of mapping rules and transformation workflow: We might have to execute a great amount of data cleaning and transformation steps depending upon the degree of dirtiness of data, the amount of data sources and their level of heterogeneity. In some cases schema transformation is required to map sources to a common data model for data warehouse, usually relational model is utilized. Initial data cleaning phases organize data for integration and fix single –source instant complications. Further phases deal with data/schema integration and resolving multi-source glitches, e.g., redundancies. Workflow that states the ETL processes should specify the control and data flow of the cleaning steps for data warehouse. The schema associated data conversions and the cleaning steps should be quantified by a declarative query and mapping language to the extent possible, to allow auto generation of the conversion program. Along with it there should be a possibility to call user written program and special tools during the process of data transformation and cleaning process. A user opinion is required for data transformation for whom there is no built in cleaning logic. Verification: The accuracy and efficiency of a conversion process and transformation designs should be verified and assessed on a sample data to improve the definitions. Repetition of the verification, design and analysis phases may be required because some faults may appear after performing some conversions. Transformation: Implementation of the transformation phase either by running the ETL process for refreshing and loading a data warehouse or during returning queries from heterogeneous sources. Reverse flow of transformed data: once the single source problems are resolved the transformed data should be overwritten in the base source so that we can provide legacy programs cleaned data and to escape repeating of the transformation process for future data withdrawals. For the data warehousing, the cleaned data is presented from the data staging area. The transformation phase requires a huge volume of metadata, such as, workflow definitions, transformation mappings, instance-level data characteristics, schemas etc. For reliability, tractability and reusability, this metadata should be kept in a DBMS-based repository. For example the consequent table Customers holds the columns C_ID and C_no, permitting anyone to track the base records. In the next sections we have elaborated in more detail probable methodologies for data examination, conversion definition and conflict determination. Along with it there should be a possibility to call user written program and special tools during the process of data transformation and cleaning process. A user opinion is required for data transformation for whom there is no built in cleaning logic. The accuracy and efficiency of a conversion process and transformation designs should be verified and assessed on a samp le data to improve the definitions. Repetition of the verification, design and analysis phases may be required because some faults may appear after performing some conversions. Transformation: Implementation of the transformation phase either by running the ETL process for refreshing and loading a data warehouse or during returning queries from heterogeneous sources. Reverse flow of transformed data: once the single source problems are resolved the transformed data should be overwritten in the base source so that we can provide legacy programs cleaned data and to escape repeating of the transformation process for future data withdrawals. For the data warehousing, the cleaned data is presented from the data staging area. The transformation phase requires a huge volume of metadata, such as, workflow definitions, transformation mappings, instance-level data characteristics, schemas etc. For reliability, tractability and reusability, this metadata should be kept in a DBMS-based reposito ry. To maintain data excellence, thorough data about the transformation phase is to be stored, both in the in the transformed occurrences and repository , in precise information about the extensiveness and brilliance of source data and extraction information about the source of transformed entities and the transformation applied on them. For example the consequent table Customers holds the columns C_ID and C_no, permitting anyone to track the base records. In the next sections we have elaborated in more detail probable methodologies for data examination, conversion definition and conflict determination. DATA ANALYSIS Metadata mirrored in schemas is usually inadequate to evaluate the data integrity of a source, particularly if only a small number of integrity constraints are imposed. It is therefore necessary to examine the original instances to get actual metadata on infrequent value patterns or data features. This metadata assists searching data quality faults. Furthermore, it can efficiently subsidize to recognize attribute correspondences among base schemas (schema matching), based on which automatic data conversions can be developed. There are two associated methods for data analysis, data mining and data profiling. Data mining assists in determining particular data forms in huge data sets, e.g., relationships among numerous attributes. The focus of descriptive data mining includes sequence detection, association detection, summarization and clustering. Integrity constraints between attributes like user defined business rules and functional dependencies can be identified, which could be utilized to fill empty fields, resolve illegitimate data and to detect redundant archives throughout data sources e.g. a relationship rule with great certainty can suggest data quality troubles in entities breaching this rule. So a certainty of 99% for rule â€Å"tota_price=total_quantity*price_per_unit† suggests that 1% of the archives do not fulfill requirement and might require closer inspection. Data profiling concentrates on the instance investigation of single property. It provides information like discrete values, value range, length, data type and their uniqueness, variance, frequency, occurrence of null values, typical string pattern (e.g., for address), etc., specifying an precise sight of numerous quality features of the attribute. Table3. Examples for the use of reengineered metadata to address data quality problems Defining data transformations The data conversion phase usually comprises of numerous steps where every step may perform schema and instance associated conversions (mappings). To allow a data conversion and cleaning process to produce transformation instructions and therefore decrease the volume of manual programming it is compulsory to state the mandatory conversions in a suitable language, e.g., assisted by a graphical user interface. Many ETL tools support this functionality by assisting proprietary instruction languages. A more common and stretchy method is the use of the SQL standard query language to accomplish the data transformations and use the chance of application specific language extensions, in certain user defined functions (UDFs) are supported in SQL:99 . UDFs can be executed in SQL or any programming language with implanted SQL statements. They permit applying a extensive variety of data conversions and support easy use for diverse conversion and query processing tasks. Additionally, their impleme ntation by the DBMS can decrease data access cost and thus increase performance. Finally, UDFs are part of the SQL:99 standard and should (ultimately) be movable across many stages and DBMSs. The conversion states a view on which additional mappings can be carried out. The transformation implements a schema rearrangement with added attributes in the view achieved by dividing the address and name attributes of the source. The mandatory data extractions are achieved by User defined functions. The U.D.F executions can encompass cleaning logic, e.g., to eliminate spelling mistakes in city or deliver misplaced names. U.D.F might apply a significant implementation energy and do not assist all essential schema conversions. In specific, common and often required methods such as attribute dividing or uniting are not generally assisted but often needed to be re-applied in application particular differences. More difficult schema rearrangements (e.g., unfolding and folding of attributes) are not reinforced at all. Conflict Resolution: A number of conversion phases have to be identified and performed to solve the numerous schema and instance level data quality glitches that are mirrored in the data sources. Numerous types of alterations are to be executed on the discrete data sources to deal with single-source errors and to formulate for integration with other sources. Along with possible schema translation, these preliminary steps usually comprises of following steps: Getting data from free form attributes: Free form attributes mostly take numerous discrete values that should be obtained to attain a detailed picture and assist additional transformation steps such as looking for matching instance and redundant elimination. Common examples are address and name fields. Essential transformations in this phase are reorganization of data inside a field to comply with word reversals, and data extraction for attribute piercing. Authentication and alteration: This step investigates every source instance for data-entry mistakes and attempts to resolve them automatically as much as possible. Spell-checking built on dictionary searching is beneficial for finding and adjusting spelling mistakes. Additionally, dictionaries on zip codes and geographical names assist to fix address data. Attribute reliance (total price – unit price / quantity, birth date-age, city – zip area code,†¦) can be used to identify mistakes and fill missing data or resolve incorrect values. Standardization: To assist instance integration and matching, attribute data should be changed to a reliable and identical form. For example, time and date records should be transformed into a defined form; names and other string values should be changed to lower case or upper case, etc. Text data might be summarized and combined by stop words, suffixes, executing stemming and removing prefixes. Additionally, encoding structures and abbreviations should continuously be fixed by referring distinctive synonym dictionaries or implementing predefined transformation rules.

Essay --

Introduction Cloud computing is the transmission of computing as a competence rather than an industrial good, whereby common means, software, and signs are delivered to computers and other apparatuses as a service over a system (Mell & Grance, 2011). Cloud computing acclaims, characteristically unified, facilities with the transported data, software, and control through a connection. Software as a service (SaaS) is frequently touched with cloud computing. End users have an access to cloud depended claims through a network browser or a light weight desktop or mobile app while the occupational software and facts are deposited on servers at a distant place. Cloud applications attempt to stretch the same or healthier service and presentation than if the software packages were connected nearby on the end-user processors. At the basis of cloud computing is the bigger idea of organization meeting (or Converged Substructure) and communal facilities. This sort of data focused environment permits enterprises to develop their requests up and running earlier, with calmer manageability and fewer upkeep, and allows IT to additional quickly adjust IT resources to encounter changing and unpredictable occupational demand. Cloud Clients Operators access cloud computing consuming interacted client strategies, such as desktop processors, laptops, tablets and mobile. Among these tools, cloud clients depend cloud computing for completely or a mainstream of their requests so as to be fundamentally lack of it. Instances are thin customers and the chrome nooks based on browsers. Numerous cloud submissions do not need precise software on the client and in its place use a net browser to interrelate through the cloud application. With AJAX and HTML5, these... ...asonable. It is also true for traditional/conventional data centers. Therefore countries with promising circumstances like Sweden, Europe and Switzerland are demanding to enthrall cloud computing statistics centers. Energy competence in cloud computing can consequence from energy conscious preparation and server alliance. Though, in the circumstance of dispersed clouds above data centers with dissimilar basis of energies counting renewable basis of energies, a small negotiation on energy ingesting reduction could outcome in high carbon footprint drop. This technology is expected to grow by leaps and bounds in the coming years, and may very well be one of the innovative technologies that spring our civilization into a new era. The speed in which information is being transferred and stored is growing constantly and there is no sign of that slowing down anytime soon.

Workers Trapped After Chilean Copper Mine Collapse” Article Found in the Electronic Reserve Readings

The use of the Career Interest Profiler displayed that I was Teamwork centered portraying a work culture towards: working in a close knit team, working closely with customers and suppliers, lots of interdependence, friendly and supportive colleagues, cooperative and sharing atmosphere. The next trait of the Career Interest Profiler displayed that I was an Expert portraying a work culture towards: varied and ground breaking work, high emphasis on specialist expertise and lots of specialist roles, high engagement-people encouraged to express opinion, innovation, creative atmosphere, control your own work schedule and organization, dynamic an changing environment. The last trait of the Career interest Profiler displayed that I was Supportive portraying a work culture towards: secure, stable environment, clearly defined jobs, goals and expectation, no conflicting demands, considerate management, focus on employee welfare, lots of personal development and feedback, lots of recognition and celebration of success, and fun place to work. The Career interest Profiler reviled that I am a leader whom can work under pressure and also create an employee friendly working environment. A person who put people first and would treat employees the way I want to be treated. As a Navy Officer, Basketball player and today in my career field I’m often counted on to lead people. My approach when working with people has always been to be honest, fair and treat a person with respect and acknowledge the positive in a person because everyone will tell you when you’re doing something wrong. My Strengths in Competencies displayed I was very strong in Innovating, Coping with Pressure, and Adapting to Change. These Competencies top my measuring scale with four bars out of possible five. The Applying Expertise and Adhering to Values on the measuring scale showed two out of five possible bars and the last Competency Strength displayed Strategizing which displayed one out of five possible bars. After reviewing my Strengths in Competencies, it demonstrated to me that I can work under pressure, meet deadlines, and confirmed that I can accept change. This is true because working in my profession the Laws are always changing and the technology is always changing as well. The Work Culture Preferences displayed that I was Artistic, Conventional and Enterprising. It also showed my Career matches being Business and financial Operations, Management, Sales and Related, Legal, Community and Social Service, Personal Care and Service. This is very unique because I gave 6 years to the Military as public service, worked as a Youth Detention Officer, Youth Worker and now for the Department of Veterans Affairs as an Advocate for Veterans. The possible employers that would fit with my provided competencies would be a College, University, High school, Government, City of State Office, Police Department, Prison, Department Store, and Owner of Private business. The possible jobs that would align with my work culture preferences would be a Head basketball Coach, Detective, Police Captain, EEO Officer, and Human Resources Specialist, or Management staff. The ways in which understanding my personal competencies will help me improve my critical thinking skills is to evaluate all information I receive before making a decision on any level. This is best described for me, as receiving all the needed facts before I make any critical decision. My competencies strengths also are utilized in all efforts to help me evaluate an argument. The best example of me using my competencies strengths during an argument is when I’m engaged with a veteran who is irate, and also talking very loudly during an interview for VA benefits at my place of work. I always take control of the situation, by speaking in a much lower tone and always letting the veteran finish his statement. Most often by acknowledging the veteran and having the facts when the veteran is presenting sometimes calms them down.