Native American History

A Clockwork Orange Antisocial Personality Disorder Essay

Antisocial Personality Disorder ( ASPD) is a mental illness with various causal factors such as genetic predispositions, environment, parental neglect, gender, brain abnormalities, etc. The factors presented affect the character Alex DeLarge from Anthony Burgess’s A Clockwork Orange (1963). Despite Alex not being diagnosed, it is evident that he suffers from ASPD, it is clearly expressed through his behaviors and mentality. Eventually, Alex is incarcerated preceding a murder he committed, in order to be released early he enlists himself to a treatment so that he could be cured. The events that follow include his participation in the Ludovico Technique, an experimental form of aversion therapy which leaves him unable to fulfill the needs of his mental illness. A Clockwork Orange: Antisocial Personality Disorder and Alex DeLarge Previous research suggests that Alex DeLarge, a fictional character created by Anthony Burgess, was the epitome of evil. However, previous research has not considered the environmental, socio-economical, and physiological dispositions that molded him into the person he became. Hence, in this paper, it is argued that Alex DeLarge is at a greater risk for Antisocial Personality Disorder than most members of the general population. This is important because it allows us to view beyond the theatrics and the metaphors into a character that is mentally unstable not a villainous caricature in the eyes of the audience. PersonalityShow MoreRelatedAn Investigation Of The Psychopath1417 Words   |  6 Pagesacquainted with a sociopathic character; you’ve probably read a book, watched a film or watched a television show that displays a character with sociopathic personality traits and have grown to enjoy following them through their story. It’s not uncommon; they’re charismatic, manipulative, powerful, and have an extremely different personality than most people. They’re charming and entertaining to watch, so it’s no wonder authors and producers alike have begun to use sociopaths and psychopaths in theirRead More Caregivers Behavior Contributes to Offspring Behavior1143 Words   |  5 Pageset al., 1996). Their theory about psychotherapy is that it is an adaption rather than a disorder. Violence by psychopaths might be reduced through careful monitoring and supervision therefore increasing the likelihood of detection. The researchers theory begins to take a close lo ok into a psychopaths childhood. The theorists determine that by means of close monitoring of the subjects aggressive and antisocial behavior by caretakers early in life it might shape the later behavior of persons withRead MoreAbnormal Psychology Terms9960 Words   |  40 Pagesrecent research is it is obvious that this case of obsessive-compulsive personality disorder arises from an early childhood fixation. which type of psychologist would most likely have made that statement? lets try to figure out where clients fall on several key personality traits, rather than using a dichotomous classification system. someone saying this would most likely favor which approach to classifying personality disorders? Litigaphobia and litigastress relational aggression is a termRead MoreEffective And Ethically Defensible Methods Of Reducing Crime2344 Words   |  10 Pagesseem more plausible to use genetic research to develop treatment and rehabilitation post factum. The author agrees with Morl ey and Hall in their proposition that genetic research should be directed into finding more effective treatments for personality disorders like ADHD, ASPD and ODD which are found to have some influence on criminal behaviour. Biochemical factors Biochemical factors can determine susceptibility to criminality and delinquency because various methods of predicting criminal behaviour

The Mozart Effect Ia free essay sample

In an independent sample design, the participants were separated into two groups and asked to memorize and eater recall a list of 10 two digit numbers. Both groups received the same list and had the same period of time to complete the task. The experimental group, however, was exposed to classical music during encoding, while the control group memorized the list in silence. The independent variable was the atmosphere of encoding and the dependent variable was the amount of numbers correctly race Lied.After statistical analysis, the results showed that classical music does not have a significant effect on recall, thus the null hypothesis was accepted. Table of Contents Title page 1 Abstract 2 Table of Contents Introduction 4 Method 5 Results . 7 Discussion 9 References 11 Appendix 12 Appendix a 13 Appendix C 14 Appendix D 15 Appendix E 16 Appendix 17 Appendix G . 18 Appendix H 19 Appendix I 20 Appendix J 21 Appendix K 22 Introduction Many studies have been conducted to support the theory that memory is malleable. A positive result would indicate that the process by which humans encode, store, and retrieve information can be modified in such a way that may benefit recall. This means quicker remembrance of encoded material. In the past, many researchers have aimed to discover a method to manipulate Emory. Today, there is still much to be learned about the way in which memory works, but myriad approaches have been introduced with the purpose of improving the process. These include one known as the Mozart effect. The Mozart effect suggests that mental ability notably increases after listening to music from Mozart.The term was first used by Dry. Alfred Tomatoes who studied the effect of Mozart music on childhood development. He hypothesized that the ears main function was to develop the unborn brain, therefore listening to high frequencies such as those found in Mozart violin ancestors could energize the brain. Dry. Tomatoes prescribed sonic therapy to his patients and concluded that auditory experiences could occur before birth and exposing prenatal children to Mozart would help the development of the nervous system. In 1 993, Elizabeth Earaches aimed to test the effect of music on the brains spatial ability.To test this she instructed college students to perform different tasks requiring spatial reasoning in different environments. In one environment, they were exposed to Mozart sonata for two pianos, in the other they listened to relaxation instructions, and the last they were instructed to complete the task in silence. The students scores on the test were significantly higher after they listened to the Mozart sonata. These results were controversial as the effect was temporary and the results were not always replicated.Likewise, Maria Speechify conducted a study in which she aimed to see the impact of music on childrens development. She tested the effect with two groups of students. In the first group, Speechify adjusted the students curriculum with increased music education classes and decreased language and mathematics classes. The other group had an increase in language and thematic courses and the same amount of music courses. The results indicated that the students with increased music courses performed better in reading and showed no difference in math compared to the group with increased academic classes. Each of these studies aimed to determine the influence of music on mental ability. An experiment designed to test the effect of music on recall would provide us with ways to improve short-term memory. If the results were to indicate that music does in fact have a positive effect on recalling, the information could be used to improve tasks that require short-term memory. If the results were to indicate otherwise, then the information could be used to adjust the environment in which information is encoded which would also lead to enhanced memory.Either outcome would serve to modify and possibly enhance memory by adjusting the conditions under which information is encoded. Like the previous three studies, this experiment aimed to determine the effect of classical music on recalling, for the purpose of improving studying methods. The participants were asked to complete a test that consisted of memorizing a list of ten, two digit numbers. Numbers were used as a matter of convenience. The control group memorized the list in silence and the experimental group memorized it while exposed to classical music.The results of musicians will not be scored since it is accepted that, because they are adapted to music, their performance on the experiment will alter. HO null hypothesis- There will be little or no difference between the environment and the amount of numbers recalled. HI research hypothesis- If the students are exposed to classical music during the encoding time then the amount Of two digit numbers recalled will increase. Method Design This experiment took on an independent samples design, meaning that woo separate groups of participants were used as an experimental and control group.This design was adopted to avoid the participation of the order effect; exposing the same participants to the same test under the same two conditions at different times would skew the results, as their recall would improve with repetiti on. It also controlled for maturation; all of the data was collected at one time so the participants did not get a chance to change, or mature, during the experiment. The independent variable in this study was the conditions under which the participants memorized the numbers (silence vs.. Music exposure). The dependent variable is the amount of numbers correctly recalled.Ethical considerations in the experiment were met by providing each participant with a consent form (Appendix A). Furthermore, the participants received a briefing statement explaining the aim of the experiment and their right to withdraw at any time (Appendix B). After the briefing note, the subjects were instructed as described in the procedures (Appendix D). The participants had 1 minute to memorize the numbers on the list. To avoid cheating, a 1 minute break was given after the encoding period, as the experimenters collected the test to prevent the participants room looking back at the list while recalling the numbers.The participants then had 30 seconds to recall and write down the numbers to the best of their abilities. In the end, the participants received a debriefing statement (Appendix E). The ordinal level of measurement was used instead of interval due to the small number of sample data. Furthermore, the median was used to describe the data because it is the most appropriate measure of central tendency. The statistical test that was used was the Mann-Whitney IS test, given that the samples taken were so small that it is difficult to tell if they re part of a normal distribution.Participants The target population consisted Of a pure opportunity sample as a matter Of convenience. All participants were high school seniors at Coral Gables Senior High of 17-18 years of age. The 35 participants (N=35) involved in the study were randomly assigned a group by the researchers (Mozart or silence). Both male and female participants were included in the study. Due to the nature of this experiment, the participants were screened for any musical ability to ensure condition constancy; including musicians in this experiment would introduce outliers and possibly skew the results.Materials Student Consent Form (Appendix A) Standardized briefing notes (Appendix 8) Procedures (Appendix C) Test: list of 10 two-digit numbers (Appendix D) Standardized debriefing notes (Appendix E) pod with Mozart Sonata f or Two Pianos in D Major, KICK Stopwatch Proceed rest A set of standardized procedures was followed. Speakers Visit the classroom; describe the study that will be taking place and ask their permission to participate. Distribute student consent forms. Pick up the forms next time the class is visited.Only the results of those who turned n a signed consent form will be counted towards the results. Read briefing instructions to the class, explaining to them what the aim Of the experiment is and assuring them that ethical conduct will be strictly adhered Split class into two groups: one will serve as the control, while the to. Other will serve as the experimental. Place list of numbers face down in front of participants to prevent any unfair advantages. For control group: when the researcher says you may begin, participants must flip the list over and begin to memorize the numbers in silence for the next 1 minutes.A stopwatch will be used to time the testing. For experimental: when the song starts, participants must flip the list over and begin to memorize the numbers for the next 1 minutes. When the time is up, ask participants to flip list over and begin to collect them. There will be a break for 1 After the break, the participants were asked to write down as minutes. Many numbers as they can remember in 30 seconds. When the time is up, ask participants to put their pens down and begin to collect the tests. Make sure to place each test in one of two piles in accordance to the participants ole in the experiment. Read debriefing notes to the class, ensuring them that confidentiality and anonymity will be maintained. They will also be informed of their ability to withdraw from the experiment; they were asked to write a memorable code on the back of their tests in case they wish to do so. Rest Its At the ordinal level of measurement, the median, the intrauterine range and the semi-intrauterine range were used in the study because they are the most suited measurements. The mean is the most appropriate measure of central tendency because I is not distorted by outliers.After the experiment as conducted and the data was analyzed statistically, it was concluded that the median of the control group is 7. 5. The median of the experimental group is 6. The intrauterine range and the semi-intrauterine were appropriate for the sample size in the experiment. The intrauterine range for both groups was 3 and the semi-intrauterine range was 1. 5 for both groups. After calculating these values from the data, the results of the experimental group and those of the control group were very similar.For this, a Mann-Whitney L] test was performed to determine whether there was a significant difference teen the two results. This test is usually used for at least ordinal data in an independent samples design in an experiment testing a difference between two conditions (Crane, 399). The LU and the CO values were both greater than the Circuit, causing us to accept our null hypothesis and conclude that there is no significant difference between the group that listened to Mozart and the group that worked in silence.

Report on Business Intelligence and Business Analytics

Questions: 1. Definition of Business Goal?2. Role of Information System Strategy for Dealing with Competitive Force?3. Different kinds of decisions within the Business Environment?4. The Six Elements of Business Intelligence environment?5. Five Analytical Outputs of Business Intelligence System?6. Usefulness of Business Intelligence and Analytics Support on Decision Making?7. Benefits of Business Intelligence Techniques in Decision Making and Knowledge Management?8. Benefits of Intelligence Techniques for people working in groups?9. Different Types of Systems used for improving Enterprise-wide Knowledge management? Answers: Introduction Business intelligence (BI) is known as the system which plays a crucial role in strategic planning within an organization. According to Loshin (2012), the business intelligence system allows the business organization to store, gather, analyze and access the company data for making a decision. Business Intelligence consists of several methodologies, tools, and applications for collecting data from external sources (Laudon and Laudon 2013). Business analytics is known as the methodical investigation of an organizations data that concentrates on the statistical analysis. This report reflects the study of the business goal and the role of the information system strategy for dealing with the competitive force. It also comprises of different types of decision that are made with a business group. Then the report focuses on six elements of the business intelligence environment and five analytical outputs of the business intelligence system. The report concentrates on the usefulness of business intelligence and analytics support based on decision-making. It provides a brief overview of the benefits of business intelligence techniques depending on decision-making and knowledge management. The report emphasizes on the advantages of business intelligence for the people working in groups. Finally, the report focuses on the different types of systems that are used for improving enterprise-wide knowledge management. 1. Definition of Business Goal According to the given case study based on ethical and social issues in information system, the main goal of Facebook team is to collect many personal information in a technical manner and later on to sell those information to those advertisers who are advertising on the Facebook portal. 2. Role of Information System Strategy for Dealing with Competitive Force The five competitive forces in an industry include: Competitors within an industry. Danger for the new entrants within an industry including its markets. Danger with the substitute products that may capture the market share. Negotiation power of the suppliers. Negotiation power of the suppliers. For overcoming such competitive forces, a business organization needs to follow five information system related strategy. The five basic competitive strategies includes: differentiation, cost leadership, growth, innovation, and alliance (Laudon and Laudon 2013). 3. Different kinds of decisions within the Business Environment In a business organization, the process of decision making in the major factor where the managers get the opportunity to choose a single alternative among various options (Calof, Richards and Smith 2015). The different types of decision making in an organization are as follows: Business decision making: This kind of decision-making determines the business outcomes in a group. Personal decision-making: This decision-making process helps an organization to maintain a good relationship with the customer and the business organization by providing the outcomes (Sharda, Delen and Turban 2013). Consumer decision making: It comprises of choices for determining the usefulness of the business organization in purchase decisions that happens within the business context (Cook and Nagy 2014). Programmed Decision: When some routine problems arise, these types of decisions help to address standard responses (Laudon and Laudon 2013). Non-Programmed Decision: This type of decision-making process helps to solve non-routine problems that occur within an organization (Howson and Hammond 2014). Strategic Decision: Strategic decision helps to develop the entire strategies, goals, and policies of an organization. It helps to monitor the strategic presentation in economical, political, and competitive business structure of the organization (Wixom et al. 2014). Tactical Decision: This type of decision-making process helps to prepare short range schedules, budgets, and plans for optimizing the workloads of the employees and which in turn brings effectiveness in the overall organization (Loshin 2012). Operational Decision: This type of decision directs the usage of resources and enhances the performance of the task within fixed schedules and budgets (Petermann et al. 2014). 4. The Six Elements of Business Intelligence environment The six main elements that are present in Business Intelligence environment are: Data from the business organization: The business organization needs to deal with both the unstructured and structured data that are available in various sources including the Internet and mobile devices (Power 2013). The infrastructure of Business Intelligence: The business intelligence system is an efficient database system that captures each relevant data that are necessary to operate the business processes. The stored data is integrated and combined within the enterprise data warehouse (Calof, Richards and Smith 2015). Business analytics tools: Business analytics tools are some set of software that is necessary to analyze the available data, producing reports, track the business progression with the help of performance indicators (Laudon and Laudon 2013). Executive users and methods: The managers of any business organization enforce an order for the analysis of data with the help of managerial methods which helps to measure the progress of the group and to set up the strategic business objectives (Calof, Richards and Smith 2015). The business analytics itself can produce reports, online screens, and information without the help of powerful senior management team. Delivery platform- ESS, DSS, MIS: The delivery platform including the ESS, DSS, and MIS helps to deliver knowledge and information to several people and firms including senior managers, middle managers, and operational employees (Rausch, Sheta and Ayesh 2013). With the help of a single hardware and software tools present in the business intelligence and analytics packages, the information can be integrated into the manager's mobile platforms. User Interface: Presently, the business analytics software concentrates on visual techniques including scorecards and dashboards that are essential to deliver a report on iPhones, Blackberrys, organizations Web portal, and on different smart handheld devices (Howson and Hammond 2014). 5. Five Analytical Outputs of Business Intelligence System The five discrete outputs that a business intelligence system uses for providing real-time and correct information to users are: Domo: A unique business intelligence solution provides business data without the involvement of IT (Laudon and Laudon 2013). Without digging the masses of the report, it quickly contains all the correct data to the user in real-time. QuantConnect: It is a browser oriented algorithm investment and trading which performs as a back-testing platform. This business intelligent tool is specially designed for financial engineers who allow them to code algorithm within the browser-oriented IDE (Sallam et al. 2014). It also helps to back test the investment strategies of the financial engineers and allows them to play out in real-time. Cyfe: It provides all in one dashboard for business intelligence starting from social media to marketing, infrastructure, and analytics (Minelli, Chambers and Dhiraj 2012). Cafe combines all the information that is required by the user in an easy to view format and helps to analyze dashboards. RetailMETRIX by PivotLink: It is a demanding real-time retail analytics that especially concentrates on the customer's viewpoint. The RetailMETRIX provides sixty primary performance indicators, which enables the retailers to analyze operations, sales, and plans (Sharda, Delen and Turban 2013). It also helps to manage the supply chain within a series of reports and dashboards. RetailsMETRIX helps the business organization to understand their retail and customers. Birst: It provides business analytics, dashboards, and self-service reports within real-time. Brist provides the ability to collaborate, customize, and distribute the real-time business intelligence to the users in any business organization (Sharda et al. 2014). With the help of Brist Live Access, the user can query and analyze the data when extraction is not available. 6. Usefulness of Business Intelligence and Analytics Support on Decision Making The advantages of using business intelligence and analytics in decision making are as follows: Improves the Business Productivity: Business intelligence and analytic support help the business organizations to save the cost and time. It also provides efficient reporting to improve the overall business productivity (Howson and Hammond 2014). The business intelligence system can gather vital information after interacting with customer and thereby present information which is easy to execute, understand, and communicate. Easily Accessing of Crucial Information: The business intelligence gives vital information to the business organizations for improving the decision making skills and to produce a competitive compensation (Laudon and Laudon 2013). Good Return on Investment: The business intelligence provides a substantial return on investment which specifically reduces the cost, improves the margin, enhances the revenue structure, and to force cost avoidance (Sharda et al. 2014). Moreover, the use of business intelligence can improve the business process efficiency, increase employee productivity, increase customer satisfaction, provides better strategic decision-making. Knowledgeable Decision Making: The use of business intelligence and analytics helps the business organizations to make informed decisions by providing crucial information based on the present and past performance of the business organization (Winter, Marjanovic and Wixom 2013). 7. Benefits of Business Intelligence Techniques in Decision Making and Knowledge Management The modern business organizations are getting benefits by implementing the use of business intelligence in decision-making and knowledge management. The lists of benefits are as follows: With the help of business intelligence system, the business organization can track the customers buying habits, sales, and operational parameters, and the inventory turnover (Sallam et al. 2014). The business intelligence system dramatically and consistently supplies easy access to the most significant trends. The business intelligence system is important for any business organization to recognize the problems that occur within the organization and provides best possible solutions to solve the business related problems (Minelli, Chambers and Dhiraj 2012). The techniques of knowledge discovery including data mining and online analytical processing help the business organizations to acquire an individual's hidden knowledge during the process of decision-making (Wixom et al. 2014). Business intelligence systems like Online Analytical Processing helps in demanding analyzes and dynamic reporting 8. Benefits of Intelligence Techniques for people working in groups The people working as a group in any business organization takes the help of business intelligence systems to enhance their decision making power in an efficient way. The business intelligence system helps to eliminate several types of guesswork in an organization. In improves the communication skills of various departments within the organization during coordinating activities (Chiang, Goes and Stohr 2012). Business Intelligence allows the organizations to react quickly to the change in financial conditions, supply chain operations, and client preferences. Business intelligence specifically increases the coordination factor within the working group and which in turn improves the overall performance of the organization (Rausch, Sheta and Ayesh 2013). The information is known as the second important factor of any organization and thus having proper information and securing that information is very crucial which can be fulfilled by using the business intelligence systems (Petermann et al. 2014). 9. Different Types of Systems used for improving Enterprise-wide Knowledge management The various types of systems available which can improve the enterprise-wide knowledge management are as follows: Intranets: The Intranet is classified into two different areas: the web server which is a content repository and the technological infrastructure including the IP networks, HTML format, and universal web browser (Winter, Marjanovic and Wixom 2013). This web server and web browser allows better access to the information for the knowledge workforce and increases the additional skills for the developers of applications. Document Management Systems: The document management systems are a storehouse of corporate records and which stores explicit knowledge (Petermann et al. 2014). The document management systems are also used for controlling the document creation processes and their reviews. Hence, the document management systems are the most critical enterprise-wide knowledge management system (Power 2013). Information Recovery Engines: The technology of information recovery have added several features in their systems which include natural language querying, applicability ranking, and summarizing which increases the speed of finding the information. Workflow and Groupware Systems: Different business organizations use groupware systems for communicating and collaborating within the workgroups. The groupware enables formal conversations when the group members are unable to communicate in real time (Cook and Nagy 2014). For this reason, groupware and workflow systems are used by the business organizations for improving the enterprise-wide knowledge management. Data Mining and Data Warehouses Tools: Many business organizations are creating the data warehouse and they are providing their managers with various data mining techniques for optimizing the relationship between the internal processes, customers, and suppliers (Fisher, Drucker and Czerwinski 2014). The leading business organizations are focusing on maximizing the usage of data mining and data warehousing tools because the knowledge oriented organization are making decisions depending on the increasing complexity of data (Loshin 2012). The knowledge management systems need to supply meaningful access for the data warehouses to support the standard procedure including Structured Query Language and Open Database Connectivity. Conclusion After the analysis of the comprehensive report, it can be concluded that an information system strategy plays a crucial role for overcoming from the five competitive forces. The five analytical outputs of business intelligence system include Domo, QuantConnect, Cyfe, RetailMETRIX by PivotLink and birst. The advantage of using business intelligence and analytics on decision making involves improving the company productivity, quickly accessing of valuable information, right return on investment, and intelligent decision making. References Calof, J., Richards, G. and Smith, J., 2015. Foresight, Competitive Intelligence and Business AnalyticsTools for Making Industrial Programmes More Efficient.Foresight-Russia,9(1), pp.68-81. Chiang, R.H., Goes, P. and Stohr, E.A., 2012. Business intelligence and analytics education, and program development: a unique opportunity for the information systems discipline.ACM Transactions on Management Information Systems (TMIS),3(3), p.12. Cook, T.S. and Nagy, P., 2014. Business intelligence for the radiologist: making your data work for you.Journal of the American College of Radiology,11(12), pp.1238-1240. Fisher, D., Drucker, S. and Czerwinski, M., 2014. Business Intelligence Analytics [Guest editors' introduction].Computer Graphics and Applications, IEEE,34(5), pp.22-24. Howson, C. and Hammond, M., 2014.Successful Business Intelligence: Unlock the Value of BI Big Data. McGraw-Hill Education. Laudon, K.C. and Laudon, J.P., 2013. Management Information Systems 11e Loshin, D., 2012.Business intelligence: the savvy manager's guide. Newnes. Minelli, M., Chambers, M. and Dhiraj, A., 2012.Big data, big analytics: emerging business intelligence and analytic trends for today's businesses. John Wiley Sons. Petermann, A., Junghanns, M., Mller, R. and Rahm, E., 2014. Graph-based data integration and business intelligence with BIIIG.Proceedings of the VLDB Endowment,7(13), pp.1577-1580. Power, D.J., 2013.Decision Support Analytics and Business Intelligence. Business Expert Press. Rausch, P., Sheta, A.F. and Ayesh, A. eds., 2013.Business intelligence and performance management: theory, systems and industrial applications. Springer Science Business Media. Sallam, R.L., Tapadinhas, J., Parenteau, J., Yuen, D. and Hostmann, B., 2014. Magic quadrant for business intelligence and analytics platforms.Gartner RAS core research notes. Gartner, Stamford, CT. Sharda, R., Delen, D. and Turban, E., 2013.Business Intelligence: A Managerial Perspective on Analytics. Prentice Hall Press. Sharda, R., Delen, D., Turban, E., Aronson, J. and Liang, T.P., 2014.Businesss Intelligence and Analytics: Systems for Decision Support-(Required). Prentice Hall. Winter, R., Marjanovic, O. and Wixom, B.H., 2013, January. Introduction to Business Analytics, Business Intelligence, and Big Data Minitrack. InHICSS(p. 3767). Wixom, B., Ariyachandra, T., Douglas, D., Goul, K.M., Gupta, B., Iyer, L., Kulkarni, U.R., Mooney, B.J.G., Phillips-Wren, G. and Turetken, O., 2014. The current state of business intelligence in academia.Communications of the Association for Information Systems,34(1), pp.1-13.