Battle of Empress Augusta Bay in World War II

Alcoholism Nature vs Nurture - 2114 Words

Alcoholism: Nature Versus Nurture For years people have argued that alcoholism is a choice and not a learned or inherited disease. These people will normally agree that yes, children are in fact influenced by family, but purely of a social nature, and that this disease is actually caused by poor economic status, poor social upbringings, or merely by imitating the behaviors of those who raised them. However, research has proven that in a great deal of cases there is in fact enormous basis for alcoholism being a genetic or inherited disease. While genetics cannot predict alcoholics very well, research can show that one can be born to be an alcoholic; the action and reaction taken in spite of or because of this gene however determines the†¦show more content†¦Teenagers often â€Å"binge drink† or drink rapidly in high doses due to a lack of availability, this is another factor that leads to this disease. In some family units alcohol becomes not only an ambiguous symbol of their family but also in many cases it becomes the only means of relation between some members of their clan. Becoming the only thing they have to do thither, the only thing they can relate on, their only method of bonding and communication. It is in these cases that it is most prevalent of the crashing together of the social causes and genetic causes of the disease. Families of this caliber most often use alcohol as a method of reward and celebration. Family gatherings center on the consumption of alcohol. This is also a very dangerous method of bonding amongst family members, a lot of families break down at this point, fights are started, grudges are born, and families are torn apart beyond repair. Putting a bunch of alcoholics or even drunks in the same area will most often lead to disaster and heartache. On the flipside of that coin, are the children who grow up in a household where alcohol is completely forbid den and taboo. These children are raised to believe that alcohol is completely wrong and are never exposed to it at all. Once â€Å"set free† into the real world these individuals are exposed to alcohol and will sometimes become heavy drinkers in a rebellious manner due to never being introduced to it orShow MoreRelatedEssay on Alcoholism Nature vs Nurture Argument2784 Words   |  12 PagesAlcoholism and the Nature vs. Nurture Argument Does the environment that one grows up in contribute to alcoholism or is alcoholism determined by genetics? It wasn’t until 1991 that alcoholism was considered both a medical and psychiatric disease by the American Medical Association. Alcoholism is defined in the dictionary as a chronic disorder characterized by dependence on alcohol, repeated excessive use of alcoholic beverages, the development of withdrawal symptoms on reducingRead MoreThe Nature vs. Nurture Debate in Learning More about Alcoholism2588 Words   |  11 PagesThe Nature vs. Nurture Debate in Learning More about Alcoholism INTRODUCTION: Alcoholism can affect anyone. It has enormous costs as it pertains to societies, families, and individuals. It is not prejudicial towards any race, color, sex, religion, or economic level. Although we do have ideas as to what alcoholism is, what we do not know is the exact cause(s) of this problem. Researchers are continually seeking answers to the long-standing nature versus nurture debate. Different viewsRead MoreMany Causes of Alcoholism1290 Words   |  6 PagesThe Many Causes of Alcoholism Every story has two sides to it. Alcoholism is very complicated story in the â€Å"nature vs. nurture† debate. Alcoholism is uncontrollable and everybody has a different perception of what it is. A persons understanding of what alcoholism actually is can determine whether they think alcoholism is nature or nurture. From my own understanding, I think that alcoholism has multiple causes. Many people may think that alcoholics are people who drink often or drink everyday,Read MoreNature Vs. Nurture : Addiction1102 Words   |  5 Pages Nature vs. Nurture: Addiction Introduction Psychology is a developing science which studies the mental functions, processes, and behaviors of an individual. In the science of psychology, many debates arise; nature vs. nurture is one of the most popular ones. These psychological debates are followed by research, backing up either nature or nurture or both. Nature suggest heredity impacts human psychological development; nurture suggests the environment impacts our psychologicalRead MoreNature Through Nurture : Nature And Nurture1207 Words   |  5 PagesEmily Yang Psych 21 Nature Through Nurture For many years we have questioned whether humans are shaped by NATURE or NURTURE. Nature, meaning we are structured by our GENES (internal influences), or nurture, shaped by our environment and experiences (external influences). Recent studies has enabled us to see that both these factors are crucial to development and greatly intertwined. Thus, in recent years it has become â€Å"nature, through nurture†. We are able to see GENETIC influence in developmentRead MoreNature vs Nurture: Do Genes Or Environment Matter More? Essay1300 Words   |  6 PagesNature versus nurture has emerged as one of the most heated debates in the 21st century. It is more aligned towards the internal and external factors that comprise human beings behavior. The internal factors are innate and perceived to be genetically revolved as opposed to the external factors that are influenced by the environment and individuals’ experiences. However, scholars in different fields have researched on the relationship between nature and nurture without due success and this has createdRead MoreEssay Genetic and Environmental Contributions to Substance Abuse1125 Words   |  5 PagesThe question of nature vs. nurture has been the focus of many debates, especially within the discipline of psychological sciences. This paper will examine the views that exist regarding the importance of contributions to the risk of addi ction, specifically, genetic (nature) vs. environmental (nurture) contributions through a review of the existing literature. The nature-based view is that expression of addiction (phenotype) is based upon genetic predisposition (genotype). Numerous genetic studiesRead MoreThe Psychoanalytic Approach . And Some Of The Influential987 Words   |  4 Pageseight psychosocial stages of development that are seen throughout one’s life. The eight stages are; trust vs. mistrust, autonomy vs. doubt, initiative vs. guilt, industry vs. inferiority, identity vs. role confusion, intimacy vs. isolation, generativity vs. stagnation, and ego integrity vs. despair. Erikson believed that nature determines the order of the stages and sets the parameters that nurture operates within (Sharkey, W. 1997). Erikson’s psychosocial stage theory of personality is still influentialRead More Genetic Factors and Criminal Behavior Essay709 Words   |  3 Pagescountries, with an attempt to see if these factors related to the children’s criminal offenses both early in life and later on. The authors looked at if there is a genetic liability to violence and if there is a genetic link between violence and alcoholism. Other researchers expanded and reanalyzed on the findings of the earlier tests to come at their results. They were trying to see if violent offending might be heritable. One study looked at severe mental illness and it’s possible genetic relationshipRead MoreNature vs. Nurture Shown in Family Addiction3111 Words   |  12 PagesConsider the following scenario: John and his mother are both alcoholics. John has been exposed to his mother’s inappropriate relationship with alcohol since before he was born. In the age-old debate of nature vs. nurture, some would say it was merely natural for John to follow his mother’s path, a la the apple does not fall far from the tree—his addiction was inherited. Others would argue that John’s childhood experiences and home environment led him on the road to addiction. Many might question

Benefits of Data Mining and Visualization-Free-Samples for Students

Questions: 1.Briefly summarise why data mining is used in Business. 2.Share a recent article/news item relating to data mining in Business. 2.Discuss about the Security, Privacy and Ethics. Answers: 1.In present days, all the businesses flourishing in the market has to compete a lot to achieve a success. Every business has to accumulate large number of data in the form of employees data, reports of market analysis, information about the customer and data regarding sales (Fan Bifet, 2013). More profitable execution is claimed by business using data mining. The data that is to be organized comes in various forms. To keep the data in an organized form, data mining is widely in use by the business or enterprises. The process of data mining helps the corporation to condense the data into some valuable information and helps to coordinate huge amount of data (Hofmann Klinkenberg, 2013). In data mining, data are cleaned to remove errors, data are integrated and also important data are selected for the data mining. Data mining is mainly very important part of a business that deals with large numbers of data. Data mining is used in business in many fields. Temporary techniques that are used in a business are algorithms and techniques that contain mathematical equations (Larose, 2014). Some of the following aspects are stated below where business uses data mining are Decision trees- Data mining are used in business to make decision trees. Structures like tree shaped are used in business to organize the data. Induction rule- If then rules are extracted from data that are based on the statistical significance. Networks of Artificial neural- The non linear models which are learnt from training are the network of artificial neural. Using data mining has many benefits- Trade or Marketing- Business models that depends on the data that are accumulated in past that accepts campaigns that depends on the strategies of the modern market are the work that is done by data mining (Lin, Yao Zadeh, 2013). Businesses that trade in the same manner also gets benefited by data mining. Banking of businesses- The loans that are taken from bank are all recorded by data mining. The evidences are to be kept in an established way so that when they are needed it can be presented. Manufacturing- The defects from the manufacturer are also recorded with data mining. Governments- Government related issues such as paying taxes are kept in record by data mining. 2.Introduction Logic-ITA, a web based information tool used in Sydney University from 2001 and it is considered as the second author of the University (Lara Labrador, 2013). Over the last decade the tool is been used in the University. The main aim of this tool is to give the teacher information of the progression of the class and also helps the students to practice logical formal proofs. Explanation The tutorial data mining tool Logic-ITA is used over a decade in the Sydney University that helps the student of the University to practice their formal proofs of logic and gives the teacher detailed information about the progress of the class. This tool consists of two sets of formulas, one known as premises and the other known as conclusion. The main objective of the tool is that to derive conclusion from premises in a valid way (Mostafavi Barnes, 2017). To perform this, students using the tool is build new methods and formulas step by step along with logic formulas and guidelines that were previously defined in continuing proof until completing the derivation. An error message is posted on the students wall if the methods or procedure performed by the student are incorrect (Witten et al., 2016). The database of all students studying in the University is recorded in the tool and is used by the teachers. The teacher contains two tables in which one is used for the mistakes done by the students and the other table is for all the correct steps done by the students. Conclusion The tool of Logic-ITA benefits the students to search the risk the students are facing and helps them who have not done the training properly. Visualization of data mining enables the teachers to find out the names of the students who have not failed their task properly. 2.Introduction Every business has to accumulate large number of data in the form of employees data, reports of market analysis, information about the customer and data regarding sales (Tasioulas, 2017). The data requires more useful execution in an enterprise. The data or information that are present in an enterprise are present in many forms. Data mining is done to establish these information or data. Algorithms and techniques that are used in the business are all detailed using data mining. Data mining is a costly method, but the enterprises or businesses that deals with huge amount of data have to deal with those data using data mining (Ryoo, 2017). The best way to less the cost of maintenance is by outsource services. This outsource services of data mining attempts all types of mining the data such as data miming in stock market. Analysis Security Issues in Data Mining (article: Big data security problems threaten consumers privacy) Issues that are related with security in data mining are as follows It is difficult to mine knowledge of distinct types. A unified learning of mining at different methods is done. Languages of data mining that are related with query and ad-hoc of data mining. Expressions that are related to data mining and visualization related data mining. Difficult to evaluate pattern of the correct and incorrect solutions. Scalability and efficiency of algorithms of data mining are done. Handling complex and relational types of data. Distributed, incremental and parallel methods of mining. Incomplete and handling noise. Data Mining Privacy Issues In the past decade years, data mining has faced huge compilations. A same kind of innovation to build the danger of the potential security is done by information mining (Neuman, 2016). Undertaken testing is to be done by data mining (Papamitsiou Economides, 2014). The security of the people is maintained by organizing an information mining of an enterprise. Ethical Implication of Data Mining Moral ramifications for organizations utilizing information mining are not quite the same as lawful ramifications. Playing out a burglary is characterized as unlawful, yet notwithstanding considering endeavoring to endeavor a robbery is named deceptive. The worries among open is that when organizations even endeavor to utilize their shopping data or other information to target them back with more items, they think of it as untrustworthy. However, regardless of this, morals encompassing information mining is a hazy area (Wang, Kung Byrd, 2016). The whole innovation can't be viewed as great or terrible since it has numerous valuable points of interest for the general population great as well. The applications of data mining are divided into many parts for benefits of the company and to look after the morals of the client for an effective business (Shmueli Lichtendahl, 2017). The data of a company will never decrease from time to time. With the increment of the computer systems in a company, the number of information also increases. The transparency of the data mining and to keep a look so that the data does not gets hacked is the main ethical concern of data mining (Roiger, 2017). The employees must be aggressive to implement the two aspects to help the customers to not lose their personal data and save them from being breached. Human Rights on Big Data (article: Big Data, Human Rights and the Ethics of Scientific Research) Grounding- For grounding of human rights, two ideas are accepted. Human rights are not major measure, but have their survival by which they can protect other data as well. The second is that only one value of master that includes freedom of human is not protected by the human rights. It supports many other values. Content- The interests of the users are protected by the human rights. The extent up to which to impose a duty for protection is identified by human rights (Vicini et al., 2016). The work of duty bearer and restrict from doing something which is right is to be done. The practical content is the duty that is related with human rights. Incompleteness- Moral standards of human rights are incomplete. All the proper standards that are useful to public policy and law are impoverished by human rights. The duties that are related to own self, solidarity and charity duties are not included in the human rights. The hacking of these kinds of duties is unethical. Conclusion When data mining becomes an important in a business development, no process or methods can be done without the data mining. The data or information of the customer or client is all protected in the information mining. It does not allow the breach of data in organization. The judgments weather to keep their personal information with the company is decided by the client only. To enroll management of data or information in an enterprise is all done by using data mining in modern business world. Simple numbers and data into categories are done by current data mining. More complex types of data may be included in the process of data mining in the future. By testing other relationships and variables, the models of data mining can be made better for more security of data protection and human rights against data protection. New methods and development are going on discovering and they are tested and implemented so that the models of data mining are improved and make the system more secure. References Fan, W., Bifet, A. (2013). Mining big data: current status, and forecast to the future.ACM sIGKDD Explorations Newsletter,14(2), 1-5. Hofmann, M., Klinkenberg, R. (Eds.). (2013).RapidMiner: Data mining use cases and business analytics applications. CRC Press. Lara, O. D., Labrador, M. A. (2013). A survey on human activity recognition using wearable sensors.IEEE Communications Surveys and Tutorials,15(3), 1192-1209. Larose, D. T. (2014).Discovering knowledge in data: an introduction to data mining. John Wiley Sons. Lin, T. Y., Yao, Y. Y., Zadeh, L. A. (Eds.). (2013).Data mining, rough sets and granular computing(Vol. 95). Physica. Mostafavi, B., Barnes, T. (2017). Evolution of an intelligent deductive logic tutor using data-driven elements.International Journal of Artificial Intelligence in Education,27(1), 5-36. Neuman, W. L. (2016).Understanding research. Pearson. Papamitsiou, Z., Economides, A. A. (2014). Learning analytics and educational data mining in practice: A systematic literature review of empirical evidence.Journal of Educational Technology Society,17(4), 49. Roiger, R. J. (2017).Data mining: a tutorial-based primer. CRC Press. Ryoo, J (2017).Big data security problems threaten consumers' privacy. The Conversation. Retrieved 12August2017, from https://theconversation.com/big-data-security-problems-threaten-consumers-privacy-54798 Shmueli, G., Lichtendahl Jr, K. C. (2017).Data Mining for Business Analytics: Concepts, Techniques, and Applications in R. John Wiley Sons. Tasioulas J. (2017). Big Data, Human Rights and the Ethics of Scientific Research Opinion ABC Religion amp; Ethics (Australian Broadcasting Corporation). Abc.net.au. Retrieved 12 August 2017, from https://www.abc.net.au/religion/articles/2016/11/30/4584324.htm Vicini, P., Fields, O., Lai, E., Litwack, E. D., Martin, A. M., Morgan, T. M., ... Robson, M. (2016). Precision medicine in the age of big data: The present and future role of large?scale unbiased sequencing in drug discovery and development.Clinical Pharmacology Therapeutics,99(2), 198-207. Witten, I. H., Frank, E., Hall, M. A., Pal, C. J. (2016).Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann.