Science Essay Essay Example for Free

Science Essay Essay Science to me is everything that surrounds us. Its to discover information about this world we live in, study this information, and use it however we will; a process that has started long, long ago, and will continue in generations to come. Everything in our world that we use somehow or someway was made by science. It started with discovering something new; then study what it can be capable of. See where this new founded information can be fit into use. Science was used to create something new. In this day and age science has taken us to an entirely new place. From better batteries, to faster computers, to better gas mileage, there has just been a huge breakthrough in science. It is both chemistry and physics. In science of chemistry there is discovering elements and using these elements in chemical bonding. For physics, there are already discovered laws, and properties; such discoveries as gravity, motion, force, speed, velocity, acceleration, etc. Science even branches off as far as the universe and its discoveries. Whether the discovery is 200 years old, 100 years old or present, its science nonetheless. Science is all around us, from the laptops we use to the cars we drive, something had to be discovered and study for us to able to use either. Maybe it was chemical combustion to get the energy from oil so our cars can move, or even some physics to help us understand how much energy we can save if we make something for aerodynamic. Science is to discover information about our natural world, and even about space, to help us understand our existence.Science has helped to improve the lives of people around the world. Today, science has improved human health and medicine to help people live longer, and help people live with diseases people had little hope of living with a few decades ago, such as AIDS. While our scientific advances continue, ethical questions arise about how science should advance, such as stem cell research. Mary Shelley, author of the novel Frankenstein, and Michael Bishop, who wrote the article Enemies of Promise, have different views about how scientific knowledge affects humanity. Mary Shelley was born the daughter of feminist Mary Wollstonecraft and political theorist William Godwin. While on vacation with her husband, she began to write the novel Frankenstein, about a scientist who created life. The scientists name was Victor Frankenstein. In a selection from the novel, Frankenstein says The dissecting room and the slaughter-house furnished many of my materials; and often did my human nature turn with  loathing from my occupation, whilst, still urged on by eagerness which perpetually increased, I brought my work near to a conclusion (232). Frankenstein is disgusted because he must go to a slaughter-house to get parts for his creation. Frankensteins disgust shows how horrible and demoralizing his scientific endeavors are, and he continues his experiment despite the negative affect his experiment has on his health. He realizes the study to which you apply yourself has a tendency to weaken your affections, and to destroy your taste for those simple pleasure in which no alloy can possibly mix, then that study is certainly unlawful, that is to say, not befitting the human mind (233). Frankenstein worked so hard to give life to his creation he thought of nothing else, and he was living his whole life to accomplish one goal. He realizes how much time he has been spending on his experiment and the effect his work is having on him, so he believes humans do not have the ability to deal with work in this manner. Therefore, scientific experimentation is not worth the negative effects the experiments have on the human mind. Eventually, Frankenstein accomplishes his goal, but his creation does not turn out like he expected. After giving his creation life, Frankenstein is horrified and leaves his home. Frankenstein concludes Learn from me, if not by my precepts, at least by my example, how dangerous is the acquirement of knowledge, and how much happier that man is who believes his native town to be the world, than he who aspires to be greater than his nature will allow (231). Frankenstein wanted to have the knowledge to create life, and when he final had the knowledge to create life, he did. After he created life, he was miserable. Therefore, humans cannot be God and create life because their nature will not allow them to be like God, and those who try to create life will be miserable, unlike those who do not seek dangerous knowledge. Michael Bishop is a professor of microbiology at the University of California, San Francisco. In his article Enemies of Promise he warns about the misconceptions people may have about scientific advances. Bishop states science has sounded the alarm about acid rain and its principal origins in automobile emissions, but our society has not found the political will top bridle the internal combustion engine (239). Science has helped to improve the quality of life of people by discovering the cause of acid rain is from car emissions, and the reduction of acid rain could result  from better emission standards. Science is not to blame for helping to create the internal combustion engine, but the lack of government funding to find other means to propel automobiles should be blamed. Bishop says Resistance to science is born of fear. Fear, in turn is bred by ignorance. And it is ignorance that is our deepest malady (241). People fear science because they do not understand how science works, and the purpose of science is to better mankind, not to recombine DNA to create a deadly virus, or mutations. If people are educated, then they will have a better understanding of science, and will no longer fear science. Once all people understand science, and no longer fear science, mankind can move towards new goals, and improve the lives of all people. When scientists perform experiments, the scientists are trying to solve the mystery of something they do not understand, such as stem cells. Bishop believes scientists take things apart in order to understand the whole, to solve the mystery an enterprise that we regard as one of the great ennobling tasks of humankind (238). Scientists experiment to better understand the world around them, and all the things in the world, as well as the relationships between different parts of the world. Scientists do not take things apart just because they can, but scientists have a purpose for their actions. The experiments to understand the world around us, Bishop believes to be a noble task for mankind, and with scientific discoveries, our lives can be improved. Comparing the claims of both Mary Shelley and Michael Bishop, I find Bishops claims that science is good for mankind, to be more persuasive than Mary Shelleys warning about the limitations of man and science. Bishop states Science has produced the vaccines required to control many childhood infections in the United States, but our nation has failed to deploy properly those vaccines (239). If mankind did not have the benefit of scientific knowledge, there would be no vaccine for illnesses such as small pox, or life threatening diseases. Humans have the ability to produce large amounts of vaccines beneficial to children in our country and other countries around the world. Science cannot pay for, and distribute vaccines for diseases throughout the world, but science is blamed because people in  our world still suffer from curable diseases. Also, Bishop states that resistance to science is born of fear, which is the result of ignorance. When the University of California, San Francisco wanted to perform biomedical research in a residential area, which they have not been allowed to do, Bishop noted that another [agitated citizen] declared on television her outrage that those people are bringing DNA into my neighborhood (241). The person who stated that the University was bringing DNA into their neighborhood does not understand what DNA is. By making the statement about bringing DNA in their neighborhood, the person is opposing having DNA in her neighborhood compared to the Universitys encroachment into their neighborhood. If the person who made the statement were simply opposed to the possibility of increased traffic in the neighborhood, then the person would have made that statement on television. The person made the statement about DNA instead, showing that they fear DNA because they do not want DNA in their neighborhood. Therefore, the opposition this person has to science stems from their misunderstanding of DNA. Bishop points out a possible reason for people not understanding science caused by a lack of education. Bishop states In a recent international testing, U.S. high school students finished ninth in physics among the top twelve nations, eleventh in chemistry, and dead last in biology (241). If science is not learned by pupils in school, then the pupils will not understand science. Judging from the international testing, students in our country do not have an understanding of science, and the lack of understanding will breed ignorance, and will result in fear and resistance. Therefore, some people fear science because they were not properly educated when they were students and they do not understand how science can improve mankind as a whole. Bishop states The price of science seems large, but to reject science is to deny the future (242). Although science may not always give people one solid choice, and scientific endeavors may have ethical problems, we need to work out those ethical and moral dilemmas. Science will not go away, but will continue to explore the world around us. Science cannot be rejected because science will help to improve the quality of life, and rejecting science would result in the rejection of the improvement in quality of life. Other  evidence Bishop should have examined was the overall decrease in respect for institutions by the public. Alan H. McGowan is a program director for the Public Understanding of Science and Technology, as well as the Directorate for Education and Human Resources at American Association for the Advancement of Science (AAAS). McGowan states although there seems to have been a decrease in the respect the public has for scientists, this is part of a general trend of decreasing trust in institutions of all kinds. While Bishop has stated that people have been attacking science, Bishop does not compare how much science is being attacked compared to other institutions, such as the press. If all other institutions are being attacked more fervently than science, then science is not in as bad a shape as Bishop believes science to be. Therefore, unless science is being attacked as much as every other institution, science is still be viewed by the public with more respect compared to the other institutions. While Mary Shelleys Frankenstein show the problems with mans thirst for knowledge, Michael Bishop puts science in a positive light, showing how science has help mankind. I believe Bishops claims about science to be more persuasive, and the positive effects of science to be well worth the effort of scientists. Although Bishops claims could have been improved with some more evidence about the publics view of science, science will continue to improve our lives.

Determining Attributes to Maximize Visibility of Objects

Determining Attributes to Maximize Visibility of Objects A Critique on  Determining Attributes to  Maximize Visibility of Objects Muhammed Miah Gautam Das Vagelis Hristidis Heikki Mannila Vidisha H. Shah 1. Summary of the published work Das, Hristidis, and Mannila (2009, p. 959) discussed about the ranking function and top k retrieval algorithms that helps user (potential buyers to search for the required product from the available catalog. The problem is how a user (potential seller) should select attributes of new tuple that the product stands out from the other available products. So there are several formulation that were developed by the author and few that are already in practice. According to authors, to run a query(search) keywords are entered on basis of which search is conducted (p. 959). The query anserwing system may return all the values that fulfill the condition it is also called as unranked retrieval or Boolean retrieval, or can rank the answers and return top k values known as ranked retrieval or Top-k retrieval. The example given by the author is objects can be ranked on the attribute based on price or based on relevance. The example and a problem related to it is described by the author. A user wants to classify an ad to rent an apartment in an online newspaper (p. 959). The given ad (tuple) has various attributes like number of bedrooms, location and so on. The cost factor is also involved in any ad so accordingly attribute that will provide better visibility should be selected. To understand which attributes provide better visibility we can built it on basis of previous sellers recommendation (tradition technique) or an argument by which we can view the ranking function buy which we can understand which attribute will lead to high ranking score. Example adding an attribute swimming pool can increase the visibility, or a catchy title or indexing keywords (for an article). Let D be the database of some product that has been advertised already (competitor). Author is considering that the database can be a relational table or a text document (p. 960). If database is a relational table then each tuple i n the table is a product and every column is an attribute related to the product. If database is a collection of text document then each document contains data regarding a specific product (ad). The set of queries or search conditions that have been executed in past by the user is stated as Q. therefore Q is the â€Å"query log† or â€Å"workload†. The query log is the record of the queries that have been used buy the potential buyers in the past. So the query could be like SQL query or query based on key word that will return a tuple from D(database). The problem given by the author is when a D(database), Q(query log), new tuple t and integer m are given determine best m attributes for tuple t such that when the shortened version of the tuple t with m attributes is inserted in d then the number of queries from Q retrieving tuple t is maximized (p. 960). In this paper variant of m is also considered that is when m is given by the user or when m is not mentioned. In this paper author has consider several variants like Boolean (unranked retrieval) (P 960), categorical variant, text and numeric data variant and conjunctive and disjunctive query semantics. Budget variant is also considered where in if m is not given the objective of maximizing the visibility is achieved keeping m minimum. No- budget variant is also considered where value of m is not given and the only aim is to gain maximum visibility of the object and for that all possible attributes can be added. In the preliminaries section author describes that for the given database D it contains tuples {t1, t2,†¦.tm}. Each tuple t has various attributes { a1, a2,†¦. an}. Tuple t will have either value 1 or 0. 0 implies that the attribute is absent and 1 implies that the feature is available. Tuple Domination means that if a tuple has all attributes value 1 that that tuple dominates. Tuple compression of t which has m attributes. It retains all 1’s in m and converts rest all attributes to 0 (p. 961). In Conjunctive Boolean with query log(CB-QL) variant the problem definition stated by the author is when a Q with Conjunctive Boolean retrieval semantics, tuple t, and integer m are given then have to compute compressed tuple with m attribute with maximum visibility(p. 961). For this problem author uses NP-Completeness Results and derives the Theorem that the decision version of CB-QL problem is NP-hard. Author explains various algorithms for Conjunctive Boolean with query log (p. 961). First is Optimal Brute Force Algorithm. As stated earlier that CB-QL is NP-hard so during worst case optional algorithm will run in polynomial time. The problem can be solved by a simple. This problem can be solved by simple brute force algorithm. So can be called as Brute Force-CB-QL which will consider all the combination of all m attributes of the tuple t such that the combination will satisfy to achieve maximum visibility among Q. In Optimal Algorithm Based on Integer Linear programming an ILP framework CB-QL can be described as follows, new tuple t be a Boolean vector has various attributes {a1,a2,†¦an}. Q be the query log and S be the total number of queries in query log. So the task is to This integer linear formulation is attractive unlike other general IP solvers, ILP solvers and are also usually more efficient(p. 962). According to author in Optimal Algorithm that is Based on Maximal Frequent Item Sets according to the author this algorithm is based on Integer Linear Programming, but this has certain limitation so author says it is impractical if there are more than few hundred of queries in the Q query log. The author has develop an alternate approach for the same which scales large query logs very well (p. 963). This algorithm is called MaxFreqItemSets-CB-QL, for this author has defined the frequent item set problem, Complementing the Query Log, Setting of the Threshold Parameter, Random Walk to Compute Maximal Frequent Item Sets, Complexity Analysis of a Random Walk Sequence, Number of Iterations, Frequent Item Sets at Level M _ m, Preprocessing Opportunities, The Per-Attribute Variant. Author says in Greedy Heuristics algorithm becomes slow for large query logs when maximal frequent item set based algorithm has better scalability then the IPL based algorithm (p. 964). So author has developed suboptimal greedy heuristic for solving CB-QL. The algorithm consist of ConsumeAttr-CB-QL computes the number of times each attribute appears in Q. Using this top m attributes that have highest frequency is computed. The algorithm ConsumeAttrCumul-CB-QL first selects the attributes from the query log Q that has occurred maximum times and then finds the attribute that occurs second highest in the Q, and so on. The algorithm ConsumeQueries-CB-QL picks the query with minimum number of attributes first, and then selects all attributes specified in the query. In next section author explains problem variant for text data. In the text database there is a collection of documents, and each document consist a data of a particular ad (p. 965). The problem definition for text data is that query is a set of keywords and have to retrieve top-k documents via query specific scoring functions and make the document maximum visible. According to author text database can be directly mapped into Boolean database (p. 965). So the algorithm and the working can be made similar to that of Boolean Data but author says that there is a problem with attribute selection for text data is NP-complete. It can convert it into Boolean considering each key word as a Boolean attribute. So according to author since text database can be converted to Boolean database in the algorithm for text data the are two issues firstly to view each text keyword as a Boolean attribute in query log Q, and none of the optimal algorithms are feasible for text data (p. 965) . Second issue is that in text data the scoring functions that are used takes account of the document length and leads to decrease the score if keyword has low frequency. In the next section author has described about the experiments that were conducted and there results. For this experiments system that was used had following configuration P4, 1 GB RAM, 3.2- GHZ processor, 100 GB HDD, Microsoft SQL Server 2,000 RDBMS. Algorithms were implemented in C# Language, for backend RDBMS and connectivity was done using ADO. 2 data sets were used for Boolean data and publication titles were used for text data experiments. 185 queries in query log were created for the experiments, 205 distinct keywords were created by other students. The experiment worked well for Boolean data CB-QL where top m attributes were given and had maximum visibility for 185 queries. Individual experiments were done to calculate the execution time of each algorithms of CB-QL. Various statistical data is given by the author that gives how individual algorithm runs under various workload. Various similar experiments were done for text data also and its algorithm and similar statistical d ata is given by the author (p. 965). In the next section various other problem variants for Boolean data, categorical and numeric data are considered. In that author has first explain Conjunctive Boolean-Data (CB-D) in which author describes its problem definition for maximum visibility given D(database), Q(query log), t (new tuple) and m(integer). For the given problem definition complexity results for CB-D and its algorithm are given by the author (p. 967). Then next variant considered is Top-k – Global Ranking (Tk-GR) and Top-k – Query-Specific Ranking (Tk-QR) and in that author considers Top-k retrieval using Global and Query-Specific Scoring Function. Then problem definition for Tk-GR and Tk-QR is stated by the author and then its complexity and algorithm for the same are given(P.968). Next variant considered by the author is Skyline Boolean (SB) where skyline retrieval semantics are considered then problem definition for SB then its complexity and algorithms are discussed. In the similar way remainin g variants Conjunctive Boolean—Query Log—Negation (CB-QL-Negation), Maximize Query Coverage (MQC), Categorical and Numeric Data are discussed by the author(P. 969). In conclusion author describes that how the best attributes for the problem can be selected from the data set given query log. Author has presented variants for many cases like Boolean data or categorical or text data and numeric data (p. 972). And has showed that even though the problem is NP complete the optimal algorithms are feasible for small inputs. Author has also presented greedy algorithms that can produce good approximation ratio. 2. My Opinion on published work The use of internet and network has increased tremendously and with that the data available on network has increased but the main problem is information to knowledge conversion that is finding data that is useful to the user, over spam. The algorithm discussed by the author can be used to improve the visibility of the document. In the paper author has not just given algorithm for Boolean type data but also text data and other variant that is the algorithm can be used for real time data that is in various forms. The main focus of the author is on potential seller and what all attributes should be added to maximize the visibility of the advisement or the document on the web so that the potential buyers can view that document in first few options, but this can be used other way round to and using this spam can be created, a document that is a fake document that has various attributes which are not true but are added added to gain maximum visibility, which should not be even displayed in the given category. The author makes assumption about the competitors or say other advertise, and assumptions about the users preferences are made as well. The queries in the query log where written by random students and not according to what actual users want, so there is no guarantee that this will work equally well in real time environment and will actually maximize the visibility with real time users and on real network. As given by the author in every problem definition of every variant that given D database and given Q query log but in real time for many application neither D(database) nor Q(query log) is available for analysis so user have to make assumptions about the competitors and users (potential buyers) need and there after have to decide the Top-k attributes from the subset of all the attributes that will help the user to achieve maximum visibility with minimum number of attributes. In the paper the author has given various variant by which the visibility of the object can be maximized in various cases and has various optimal algorithms and greedy algorithm. Optimal algorithm gives optimal outputs but works well for small inputs only as and when the size of input increases the algorithm does not work well. Greedy algorithm produces approximate results that can be seen from the experiments done by the author with various variants. According to Ao-Jan Su, Y. Charlie Hu, Aleksandar Kuzmanovic, and Cheng-Kok Koh Page rank of any document or advertisement is not only depended on the attributes but also on key words in host name, the key words in the URL, HTML header so with the selection of proper attributes in the document user also needs to keep a check on above mentioned factors also to maximize the visibility of the object.(2010, P. 55) Angelica Caro has given a table of Data quality and visibility rankings for Spanish university portals. In which author has given DQ* ranking, Visibility ranking, Partial visibility rankings in terms of Site, Links and Popularity, Distance* where *DQ means data quality and *Distance between the data quality and visibility rankings. Teal numbers indicate the portals that are relatively close in both rankings. So from the result given by the author it is seen that there is not a precise order that is the data quality of a site can be ranked 1 but visibility is 19 because it is based on other factors also like its popularity, links, sites and distance. So even if the DQ is not very good but it is popular or it has many incoming links can lead to improve the overall ranking of the page and thereby maximizes the visibility of the page. The statistic of the site that has ranks first in visibility is data quality is 5 visibility is 1 site 1 links 1 popularity 3 distance 4 so it can be seen that to gain maximum visibility we cannot just depend on attributes of the data that is not just data quality but there are various other factors that is required to be considered to improve visibility of the object, that is not considered in the paper by the author.(2011, p. 46). References Ao-Jan Su, Hu, Y.C., Kuzmanovic, A., Cheng-Kok Koh (2010). How to Improve Your Google Ranking: Myths and Reality.2010 IEEE/WIC/ACM International Conference onWeb Intelligence and Intelligent Agent Technology (WI-IAT),1, 50-57.doi: 10.1109/WI-IAT.2010.195 Caro, A., Calero, C., Moraga, M.A.(2011). Are Web Visibility and Data Quality Related Concepts?.Internet Computing, IEEE, 15(2), 43-49.doi: 10.1109/MIC.2010.126 Miah, M., Das, G., Hristidis, V., Mannila, H. (2009). Determining Attributes to Maximize Visibility of Objects.Knowledge and Data Engineering, IEEE Transactions on,21(7), 959-973.doi: 10.1109/TKDE.2009.72

Education Essay -- essays research papers

School the great Equalizer In his essay, “I should have never quit school';, D. DeMott rejects the myth that all social classes receive the same education. He supports his essay by denying that the stating line is the same for all students in the American educational system. DeMott begins his essay by giving us an example of the mythological belief that school is a fair institution where everyone begins at the same starting line. Next, DeMott gives general ideas about the American publics denials, and the educational system, provides for students. To support these denials DeMott gives us some assumptions of the general public’s beliefs on education.  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   The first assumption is about intelligence, an individual is college material, intellectual because he/she was born smart and it’s up them to take advantage of it, and that teachers see this genetic trait. According to your intellectual level the school system will see this and place you in the proper educational training which best sues you.   Ã‚  Ã‚  Ã‚  Ã‚  The next assumption is that your community motivates lower class students to attend institutions of higher education by providing them with financial assistance. The difference of the social economic level of the community abilities to provide for the st...

The Good Life in Epic Narratives :: Odyssey Iliad Essays

The Good Life in Epic Narratives Classic literature juxtaposes two ways of life that illustrate the poles of true happiness: a life of adventure, exemplified by Odysseus (The Odyssey), and the life at home, which poets and farmers represent. In The Iliad, Achilleus chooses to live a short, glorious life, even though he could have chosen to live a long life in anonymity. Arguments have been put forth that the life of adventure is a living hell, as Achilleus testifies from Hades after his death - in hindsight, he would have settled for the life of a slave and given up his glory, if only he could have lived longer. Alternately, the life of the (metaphorical) farmer has been despised as simple and ordinary, when true immortality is only attained with great accomplishments, such as sacking Troy or surviving heroic adventures which are then recorded. In a modern day autobiography of the 1996 ascent of Mt. Everest (Sagarmatha to the Nepalis, or â€Å"goddess of the sky†), Jon Krakauer reveals the human motivatio n behind adventure and tells the story of the men and women who lived and died on the expeditions to the summit during that spring (Into Thin Air). With epic literature and a recent epic, I will illuminate the values of a reflective life as well as the life of adventure, and delve into the necessary components of the ‘good life.’ The Choice of Achilleus I carry two sorts of destiny toward the day of my death. Either, if I stay here and fight beside the city of the Trojans, my return home is gone, but my glory shall be everlasting; but if I return home to the beloved land of my fathers, the excellence of my glory is gone, but there will be a long life left for me, and my end in death will not come to me quickly. -Achilleus (Iliad, IX.411) The decision of Achilleus is a crucial moment in understanding how fate works in epic (Homerian) literature. Thetis tells Achilleus of his opportunity to win renown as the greatest warrior of all time, earning glory through his fearless acts in battle against a foe who is sure to overcome the Achaians. The fate of ten years of attack on Troy hinge upon the decision of Achilleus, who is given the choice to win glory for the Achaians and, more importantly, himself.

Dinner with Father :: Example Personal Narratives

Dinner with Father I wonder what it would be like to go to dinner with my father. One of the chief words my uncle uses to describe my father is "classy," so I'm sure that he would take me to a fancy restaurant. We would sit across the table from each other, both decked out in dark suits. My hair would fall into my eyes and I would brush it out of the way, looking to see the expression on his face. He was a large man, both in my memories and in photographs I've seen. I'm sure that he would dominate the conversation, both physically and mentally. His absence from my life has resulted in my sort of revering him, and so I think that the evening would be unevenly balanced toward my listening to him speak. And what better questions to ask than his opinions of me and my habits? It would be strange, seeking acceptance from someone who has had such a powerful effect on my life, influencing me more through his absence than through his presence. My early years with my father have become harder and harder to recall. From what I can remember, and what I have gleaned from my brother and mother, I was on the verge of spending "quality time" with my father. My brother, who is four years older than I, spent the last few years with Dad talking and reading and walking, all things I yearn to have done with him. The dinner would be a chance for me to bond with my father, and to get a sense of the man he was. This is what my brother and my mother know, but cannot convey to me. I would show him some of the poems I've written about him and me. I would question him to see whether or not the image of him I had forged in my mind, in my writing, is true. In my philosophy class this year, we are reading Plato's Republic, which my mother has told me was my father's favourite book. I am fortunate enough to have his copy of the Republic, a tattered, red-leather bound copy from long ago. I want to know what he gleaned from this book that made it so important to him. I would use the dinner (which I know would be too short) to fill in the gaps in my perception of my father.

To Kill a Mockingbird Essay – Explain How 2 Characters Changed over the Course of the Book

To Kill A Mockingbird Essay Introduction: * Thesis: In To Kill A Mockingbird, characters such as Calpurnia and Boo Radley are not who they are made out to be in the beginning of the play to both the readers and Scout. * Point 1: Jem and Scout learn that Calpurnia, their housekeeper, is not who they thought she was. * Point 2: The Finchs and the people of the town realize that Boo Radley is not the same man they thought he was. Scout and Jem is not the well-spoken servant they made her out to be all these years in their house.Her role is the household is much different compared to other families. Calpurnia has pretty much taken the role as the â€Å"mom,† in the house. This one time, she disciplined Scout at the dinner table when they had Walter over for dinner and Scout made a rude comment. However, Scout’s and Jem’s view of Calpurnia changed when they went to church with her when Atticus could not take them. When they arrived at the church, Calpurnia was confron ted by Lula for brining â€Å"white chillun† (Lee 119) in a black church. They heard Calpurnia use slang and words they had never ever come out of her mouth.This newly discovered side of Calpurnia confused the children. They could not understand how their well respected and well-spoken housemaid could be so â€Å"dirty. † When Scout questioned her about it later on, Calpurnia explained herself â€Å"folks don’t like to have somebody around knowin’ more than they do. † It aggravates ‘em. You’re not gonna change any of them by talkin’ right, they’ve got to want to learn themselves, and when they don’t want to learn themselves there’s nothing you can do but keep your mouth shut or talk their language. (Lee 126) Calpurnia’s explanation really answered Scout’s question as to why she had to â€Å"talk nigger-talk. † (Lee 125) The people of Maycomb do not have the right perspective of Boo Radle y. The rumor that have surrounded him and his family have caused him to stay within the confines of his home. The rumors say that he killed his mother and stabbed a family member with a pair of scissors. Over the summer, the kids (Scout, Jem, and Dill) acted out the story of Boo Radley and his family over the summer.Also, when Jem and Dill rolled Scout down the hill in the tire, they refused to help Scout get out since she had landed in his (Boo Radley’s) property. However, the children have it all wrong. In the beginning of the book, Jem and Scout start finding gifts in the hole of the oak at the edge of his land which he had been placing there. Another instance where they were proven wrong was when he gave Scout a blanket during the fire that took out Miss Maudie’s home. Again, no one had any idea he had done this.The biggest reason as to why everyone has made out Boo Radley all wrong was when he saved Jem and Scout from Mr. Ewell. Conclusion: * Thesis: In To Kill A Mockingbird, characters such as Calpurnia and Boo Radley are not who they are made out to be in the beginning of the play to both the readers and Scout. * Point 1: Jem and Scout learn that Calpurnia, their housekeeper, is not who they thought she was. * Point 2: The Finchs and the people of the town realize that Boo Radley is not the same man they thought he was.

Natural Disasters Essay

Rommel’s quote about making a †sound business decision† reveals overconfidence decision-making biases. His decision also discloses an anchoring bias as it looks like that Nationwide did not take into consideration some information that others did. Insurance was not the only affected industry with natural disasters; also Airlines were very affected with this whole hurricane and weather situations. Jet Blue was one of these affected airlines due to the weather. They held the passengers on its planes for about 10 hours with closed bathrooms. They refunded to the passengers their money but in a very rude way. Unfortunately JetBlue’s Founder ;amp; CEO, David Neeleman couldn’t handle the situation, and responded to the media in an improper way. Justification for Problem Definition The most relevant error and bias for companies like Nationwide Insurance, American Airlines, and JetBlue company is the overconfidence bias, they thought they are always making the right decisions and they believed too much in their own ability to make good decisions, just as Rommel’s quote about making a â€Å"Sound business decision. ‘ Alternatives 1. Rommel, Burgin, and Neeleman should have thought of the welfare of policy owners and passengers before taking their decisions. In these situations we have to look for cause and effect relationships. 2. They should have listened to different options instead of taking the first option they had. In the three cases, the managers shaped their own decisions to reflect the orga nization’s performance evaluation and other systems to comply with the organization’s formal regulations and to meet organizationally imposed time constraints. They should have also thought about their clients 3. The improper response to the media had very bad influences and was very unprofessional. They should have treated the situation with more winsomely and more professionally. Evaluate Alternatives All the alternatives said above depend on personalities and their abilities of problem solving and decision-making. These elements are important skills for business, management and leadership. Some people have these skills by nature and others have to go through processes and techniques to improve their level and quality of their decisions. Recommendation Anything can affect the clients’ safety, the decisions and the choices have to be taken very carefully in favor of both clients and companies. Managers have to understand that there are events in life, like natural disasters that are outside human control, and these events require a convenient plan for both owners and clients. Also, sometimes previous organizational decisions act as precedents to constrain current decision so organizations have to try to avoid this to happen.