Choose an issue surrounding capital punishment (deterrence, innocence, Research Paper

Choose an issue surrounding capital punishment (deterrence, innocence, cost, racial bias, etc.) and use it to argue why or why n - Research Paper Example Many other states in America also released similar reports with respect to the expenses of capital punishment. Billions of Dollars are spent yearly for implementing capital punishment in America. Normal court procedures are impossible in the death penalty cases. The court needs to double confirm that the criminal is eligible for death penalty because of the value associated with human life. â€Å"The essence of American criminal justice system is that â€Å"partisan advocacy of both sides on a case will promote the ultimate objective that the guilty be convicted and the innocent go free† (Ferdic et al, p.37). So, before implementing death penalty, the criminal went through for a series of expensive trial procedures including state and federal supreme courts. The criminal can question the punishment several times in different courts before the final judgment of the Supreme Court. All these court procedures are highly expensive because of the various expensive services (Smart a dvocates, Forensic experts, Investigating officers, witnesses, etc) needed for it.

Pollution of the worlds oceans and the impact on sea life Term Paper

Pollution of the worlds oceans and the impact on sea life - Term Paper Example Overuse of marine resources is based on the growing population at the coast which makes the situation worse and is the main reason for the population problem that has hit marine and marine life (Hofer, 2008). There are various marine pollutants such as sewage and other wastes that are released into the oceans yet there is no facility to counter these. This does not only put at risk marine life but also human and wildlife. Tourism is also affected in the situation thus, low incomes. The pollution could be chemical, physical or biological mainly caused by human activities. Developing industries are also a big involvement in the situation that has proved to be devastating. In some parts, knowledge of the marine life is limited therefore; they do not realize the dangers that are posed. The harm cause to marine ecosystems is an indirect or direct cause of human activity (Xhelilaj, 2010). When some nutrients are introduced in marines, they cause diseases that affect species all over the ec osystem. For some organisms, these are some of the factors that accelerate their growth. These pollutants then affect marine habitats adversely so that marine life is in danger. Some of these nutrients interrupt food chains within the ecosystems causing adverse danger to marine life. Construction of marines leads to the destruction of habitual life that is very important to marine life. This destruction then causes depopulation of fish in the ocean. Overfishing worsens the situation everyday. When power plants affect the temperature in oceans because of the heat produced in the process. This makes these area affected inhospitable and unfit for the marine environment. The species that are evolved there are then in danger because, they cannot survive in such an environment. Targeting particular species is also an environmental problem that leads to decreasing of the population in the marines. Many chemicals end up in the destruction of marine life. They are taken up by planktons and b enthos which are animals that are feeders within the ocean. This therefore destructs the life in these environments. This means that food chains will be interrupted. These chemicals introduce toxins to the marine life thus posing a danger through the feeding system. Pesticides also become quickly incorporated into food that is taken by marine life. This slowly poisons these animals because, these chemicals are slowly absorbed into the food webs within which they feed. Once in the food, they can cause mutations or even diseases that are dangerous to marine life. This is harmful to human life as well as to marine life thus affecting the whole food web. Toxic metals also introduced can cause biochemistry, unknown change to tissue matter or even affect the reproduction of these animals. Ships are also a source of pollution in marine life. This comes along when they spill oil in oceans thus causing devastating effects. They are toxic to, marine life and the effect could last a long perio d because, oils like crude oil are hard to clean (Katsioloudis, 2010). This means that the oil will last in the ocean for quite some time. Oil is also dark and opaque therefore, oil is blocks plants from sunlight. This denies them the ability to synthesize through population. Thick oil also sticks to some parts of sea animals thus making it difficult for them to perform some function. Sea birds are the most affected because, oil sticks to their wings which makes it

The Map Generalization Capabilities Of Arcgis Information Technology Essay

The Map Generalization Capabilities Of Arcgis Information Technology Essay Data processing associated with Geographical Information Systems is so enormous. The information needed from this data actually varies for different applications. Specific details can be extracted, for instance resolution diminished, contours reduced, data redundancy eliminated or features on a map for which application is needed absorbed. This is all aimed at reducing storage space and representing details on a map with a larger scale accurately unto another with a much smaller scale. This paper presents a framework for the Map Generalization tools embedded in ArcGIS (A Geographical Information Systems Software by ESRI) as well as the algorithm each tool uses. Finally, a review of all the tools indicating which is more efficient after thorough analysis of the algorithm used and the desired output result produced. 1.0 Introduction 1.1 Definition of Map Generalization As (Goodchild, 1991) points out, Map Generalization is the ability to simplify and show spatial [features with location attached to them] relationships as it is seen on the earths surface modelled into a map. The advantages involved in adopting this process cannot be overemphasized. Some are itemized below (Lima dAlge J.C., 1998) It reduces complexity and the rigours Manual Cartographic Generalization goes through. It conveys information accurately. It preserves the spatial accuracy as drawn from the earths surface when modelling A lot of Software vendors came up with solutions to tackle the problem of manual cartography and this report will be reflecting on ArcGIS 9.3 Map Generalization tools. 1.2 Reasons for Automated Map Generalization In times past, to achieve this level of precision, the service of a skilled cartographer is needed. He is faced with the task of modelling [representation of features on the earths surface] on a large scale map into a smaller scale map. This form of manual cartography is very strenuous because it consumes a lot of time and also a lot of expertise is needed due to the fact that the cartographer will inevitably draw all the features and represent them in a smaller form and also taken into consideration the level of precision required so as not to render the data/graphical representation invalid. The setbacks experienced were the motivating factor for the advent or introduction to Automatic Cartographic Design which is known as Automated Map Generalization. A crucial part of map generalization is information abstraction and not necessarily to compress data. Good generalization technique should be intelligent which takes into consideration the characteristics of the image and not just the ideal geometric properties (Tinghua, 2004). Several algorithms [set of instructions taken to achieve a programming result] have been developed to enable this and this report is critically going to explore each of them 1.3 Process of Automated Map Generalization As Brassel and Weibel (n.d.) Map Generalization can be grouped into five steps. Structure Recognition Process Recognition Process Modelling Process Execution Display The step that will be elaborated upon for the cause of this report will be Process Recognition [types of Generalization procedures] which involves different manipulation on geometry in order to simplify the shape and represent it on a smaller scale (Shea and McMaster, 1989) 2.0 Generalization Tools in ArcGIS 9.3 2.1 Smooth Polygon This is a tool used for cartographic design in ArcGIS 9.3. It involves dividing the polygon into several vertices and each vertice being smoothed when the action is performed (FreePatentOnline, 2004-2010). An experiment is illustrated below to show how Smooth Polygon works. Add the layerfile Polygon which has an attribute name of Huntingdonshire-which is a district selected from England_dt_2001 area shapefile that was downloaded from UKBorders. The next step was I selected the ArcTool Box on the standard toolbar of ArcMap, then I went to Generalization Tools which is under Data Management Tools and afterwards I clicked on Smooth Polygon. Open Smooth Polygon > Select Input feature (which is polygon to be smoothed) in this case Polygon > select the output feature class (which is file location where the output image is to be saved) > select the simplification algorithm (which is PAEK) > select the simplification tolerance. Fig 2.0: Display before Smooth Polygon Fig 2.1: Display after Smooth Polygon The table in Fig 2.1 shows the output when Polynomial Approximation Exponential Kernel (Bodansky, et al, 2002) was used. The other algorithm that can be applied for this procedure is Bezier Interpolation. Algorithm Type Simplification Tolerance(Km) Time Taken (secs) PAEK 4 1 Bezier Interpolation 112 Observation PAEK Algorithm: When this technique was used, as the simplification tolerance value is increased, the weight of each point in the image decreased and the more the image is smoothed. Also, the output curves generated do not pass through the input line vertices however, the endpoints are retained. A significant short coming of PAEK Algorithm is that in a bid to smoothen some rough edges, it eliminates important boundaries, to refrain from such occurrence a buffer is to be applied to a zone of certain width before allowing the PAEK Smooth algorithm to execute. (Amelinckx, 2007) Bezier Interpolation: This is the other algorithm that can be applied to achieve Smoothing technique on polygons. In this case, the parameters are the same as PAEKs except that the tolerance value is greyed out- no value is to be inputed and as a result the output image produced is identical to its source because the tolerance value is responsible for smoothen rough edges and the higher value stated, the more the polygon is smoothed. The output curves passes through the input line vertices. When this experiment was performed, it was noticed that its curves were properly aligned around vertices. Conclusion: After performing both experiments, it was observed that the PAEK Algorithm is better because it allows a tolerance value to be inputted which in turn gives you a more smoothed image around curves and this will be of more importance to cartographers that want to smoothen their image and remove redundant points. 2.2 Smooth Line This is the second tool we will be examining. This is similar to Smooth Polygon technique except that the input feature will have to be a polyline shapefile. The steps are repeated as illustrated in Smooth Polygon but under Generalization Tools; Smooth Line is chosen. Now under input feature (select gower1) which is a dataset provided for use on this report. Specify the output feature > smoothing algorithm selected (PAEK) > smoothing tolerance. Note: All other fields are left as defaults i.e. No_check/Flag Error meaning we do not want it to display any errors if encountered and fixed_Endpoint/Not_fixed which preserves the endpoint of a polygon or line and applies to PAEK Algorithm. Algorithm Type Simplification Tolerance(Km) Time Taken (secs) PAEK 1000 2 Bezier Interpolation 4 Fig 2.2: Display after Smooth Line technique was applied __________ (Before Smoothing Line) __________ (After Smoothing Line) Observation PAEK Algorithm: The tolerance value used here was so high to be able to physically see the changes made. PAEK Algorithm as applied on gower1 smoothed the curves around edges and eliminates unimportant points around the edges. This results in an image with fewer points as the tolerance value is increased. The output line does not pass through the input line vertices. This algorithm uses a syntax where the average of all the points is taken and for a particular vertex, which is substituted with the average coordinates of the next vertex. This is done sequentially for each vertex but displacement of the shape is averted by giving priority to the weighting of the central point than that of its neighbouring vertex. Bezier Interpolation: Just like in Smoothing Polygon, a tolerance value is not required and when this technique was performed in this illustration, points around edges were partially retained resulting in drawing smooth curves around the vertices. The output line passes across the input line vertices. Conclusion: From both illustrations just as in Smooth Polygon, PAEK Algorithm was considered most effective because it generates smoother curves around the edges as the tolerance value is increased. However, the true shape of the image can be gradually lost as this value is increased but with Bezier Interpolation; curves around the vertices are preserved but just smoothed and vertices maintained to as well. Simplify Polygon: This method is aimed at removing awkward bends around vertices while preserving its shape. There are two algorithms involved; Point Remove and Bend Simplify. The shapefile used for this illustration is the polygon (Huntingdonshire) district of England. Select Simplify Polygon (under generalization tools, which is under Data Management tools > then input feature as polygon > output feature> simplification algorithm> smoothing tolerance. Algorithm Type Simplification Tolerance(Km) Time Taken (secs) Point Remove 2 4 Bend Simplify 2 9 Fig 2.3: Display before Simplify Polygon Fig 2.4: Display after Simplify Polygon Point Remove Algorithm: This is a metamorphosis of the Douglas-Peucker algorithm and it applies the area/perimeter quotient which was first used in Wang algorithm (Wang, 1999, cited in ESRI, 2007). From the above experiment, as the tolerance value is increased, more vertices in the polygon were eliminated. This technique simplifies the polygon by reducing lots of vertices and by so doing it loses the original shape as the tolerance value is increased gradually. Bend Simplify Algorithm: This algorithm was pioneered by Wang and Muller and it is aimed at simplifying shapes through detections around bent surfaces. It does this by eliminating insignificant vertices and the resultant output has better geometry preservation. Observation: After applying both algorithms to the polygon above, it was seen that for point remove, the vertices reduced dramatically as the tolerance value was increased in multiples of 2km. This amounts to about 95% reduction while when the same approach was applied to Bend Simplify; there was about 30% reduction in the number of vertices. Bend Simplify also took longer time to execute. Conclusion: It is seen that Bend Simplify is a better option when geometry is to be preserved however when the shape is to be represented on a smaller scale, point remove will be ideal because the shape is reduced significantly thereby appearing as a shrink image of its original. Simplify Line This is a similar procedure to Simplify Polygon except that here the shapefile to be considered is a line or a polygon which contains intersected lines. It is a process that involves reduction in the number of vertices that represent a line feature. This is achieved by reducing the number of vertices, preserving those that are more relevant and expunging those that are redundant such as repeated curves or area partitions without disrupting its original shape (Alves et al, 2010). Two layers are generated when this technique is performed; a line feature class and a point feature class. The former contains the simplified line while the latter contains vertices that have been simplified they can no longer be seen as a line but instead collapsed as a point. This applies to Simplify Polygon too. However, for both exercises no vertex was collapsed to a point feature. To illustrate this, the process is repeated in previous generalization technique, but under Data Management tools > select simplify line > select input feature (gower1) > select output feature > select the algorithm (point remove) > tolerance. Then accept all other defaults because we are not interested in the errors. Algorithm Type Simplification Tolerance(Km) Time Taken (secs) Point Remove 8 7 Bend Simplify 8 12 Fig 2.5: Display after Simplify Line __________ (Before Simplifying Line) __________ (After Simplifying Line) Two algorithms are necessary for performing this operation; Point Remove and Bend Simplify. Observation Point Remove Algorithm: This method has been enumerated in Simplify Polygon. It is observed here that when point remove algorithm was used the lines in gower1 were redrawn such that vertices that occurred redundantly were removed and this became even more evident as the tolerance value increased such that the line had sharp angles around curves and its initial geometry is gradually lost. Bend Simplify Algorithm: This also reduces the number of vertices in a line and the more the tolerance value was increased, the more the number of reduction in the vertices. It takes a longer time to execute than the Point Remove. However the originality of the line feature is preserved. Conclusion: From the two practical exercises, Bend Simplify algorithm is more accurate because it preserves the line feature and its original shape is not too distorted. However, if the feature is to be represented on a much smaller scale and data compression is the factor considered here, then Point Remove will be an option to embrace. Aggregate Polygon: This process involves amalgamating polygons of neighbouring boundaries. It merges separate polygons (both distinct ones and adjacent) and a new perimeter area is obtained which maintains the surface area of all the encompassing polygons that were merged together. To illustrate this, select Data Management Tools > select aggregate polygons > select input feature (which is a selection of several districts from the England_dt_2001 area shapefile I downloaded) > output feature class > aggregation distance (boundary distance between polygons) and then I left other values as default. Fig 2.6: Display before Aggregate Polygon Fig 2.7: Display after Aggregate Polygon Aggregation Distance Used 2km Time Taken 48secs As seen from both figures, the districts in Fig 2.6 were joined together as seen in fig 2.3. As the aggregation distance is increased further, the separate districts are over-merged and the resultant image appears like a plain wide surface area till those hollow parts seen in fig 2.7 disappears. The algorithm used here which is inbuilt into the arcgis software is the Sort Tile Recursive tree. This algorithm computes all the nodes of neighbouring polygons by implementing the middle transversal method in a logical sequence from left to right. When this computation is complete, the result is stored as a referenced node. Now the middle transversal node in the tree is obtained and thereafter a mergence is calculated which spans from the left node to the right node until it get to the root of the tree (Xie, 2010) 2.6 Simplify Building: This process simplifies polygon shapes in form of buildings with the aim of preserving its original structure. To illustrate this, Simplify Building is chosen under Data Management tools. The appropriate fields are chosen; input feature here is a building shape file I extracted from MasterMap download of area code CF37 1TW. a b c d Fig 2.8: Display before Simplify Building Fig 2.9: Display after Simplify Building As shown above, the buildings in (a and b) in fig 2.8 were simplified to (c and d) in fig 2.9 where a tolerance value of 10km was used and the time taken to execute this task was 3secs. As the tolerance value is increased, the more simplified the building is and it loses its shape. The algorithm behind this scene is the recursive approach which was first implemented with C++ programming language but has evolved into DLL (Dynamic Link Library) applications like ArcGIS 9.3 The recursive approach algorithm follows this sequence of steps. Determining the angle of rotation ÃŽÂ ± of the building, computing nodes around a boundary and then enclosing a small rectangular area which contains a set of points The angle of rotation ÃŽÂ ± is set Determining the vertices around edges as regards the recursion used and thereafter to calculate the splitting rate  µ and a recursive decomposition of the edge with respect to those of the new edges. The shortcoming of this algorithm is that L and Z shaped buildings are culprits as they give erroneous shapes while it works perfectly on U and L shaped buildings (Bayer, 2009). 2.7 Eliminate: This technique basically works on an input layer with a selection which can either take the form of Select by Location or Select by Attribute query. The resultant image now chunks off the selection and the remaining composites of the layerfile are now drawn out. To illustrate this, eliminate is chosen under data management tools, the input feature here is England_dt_2001 area shapefile which has some districts selected and the output feature is specified, all other fields left as defaults. From Fig 3.0 after eliminated procedure was taken on the polygon (the green highlights being the selected features), the resultant polygon is shown in Fig 3.1. However the districts in Fig 3.1 now excludes all those selected in Fig 3.0 and this can be seen visually in labels a and b and therefore Fig 3.1 has fewer districts. a b Fig 3.0: Display before Eliminate process Fig 3.1: Display after Eliminate process The time taken for this procedure was 44secs. 2.8 Dissolve: The dissolve tool works similarly to the aggregate polygon except that in dissolve, it is the features of the polygons that are to be aggregated and not the separate polygons themselves. The features are merged together using different statistic types more like an alias performed on them. To illustrate this, click on Dissolve under Data Management tool, select input features- same used for aggregate polygons (features to be aggregated) > the output field (where the result is to be saved) > the dissolve field (fields you want to aggregate together) > statistic type > multi_part > dissolve_lines. The diagram below shows this; Observation: For this exercise, the dissolve field was left as default meaning no field was selected. Also, multi_part was used which denotes that instead of merging smaller fields into a large one-the features becomes so extensive that if this is displayed on a map, there can be loss of performance however the multi_part option makes sure larger features are split into separate smaller ones. Dissolve_line field makes sure lines are dissolved into one feature while unsplit_lines only dissolve lines when two lines have an end node in common. The algorithm for this technique is simply Boolean (like a true or false situation, yes or no). However there are shortcomings with this technique as low virtual memory of the computer can limit the features that are to be dissolved. However, input features can be dissected into parts by an algorithm called adaptive tiling. Fig 3.2: Display before Dissolve process Fig 3.3: Display after Dissolve process Time taken = 10secs 2.9 Collapse Dual Lines: This is useful when centric lines are to be generated among two or more parallel lines with a specific width. This can be very useful when you have to consider large road networks in a block or casing. It enables you to visualize them properly. To illustrate this, open Collapse Dual Lines under data management tools > select input feature (which is gower1) > select the output feature > select maximum width Maximum width (this is the maximum width of the casing allowed that contains the feature to be collapsed e.g. width of a road network) while the minimum width is the minimum value allowed to be able to denote its centric line from. In this exercise, maximum width = 4km Time taken = 4secs Fig 3.4: Display after Collapse Dual Line to Centerline __________ (Before Collapse Dual Line) __________ (After Collapse Dual Line) As seen above, it is observed that when this experiment was performed, those lines in blue are aftermaths of effect of procedure of operation on them because they had a red colour before. However those in red did not change because they did not have a width within the specified maximum width stated. However, this is going to change as the maximum width is increased or a minimum width is set. 3.0 Conclusion From the illustrations shown in this paper, we can see that various forms of generalization tools have their various purposes either in form of shape retention, angular preservation or simply reduction purposes so that a replica image shown on a larger scale can fit in properly on a smaller scale. However depending on the tool chosen, a compromise will have to made on these factors giving preference to what it is we want to be represented after performing the operation. Different algorithms were explored and it is inferred that when polygons or lines are to be simplified, point remove is accurate option when you want to represent them on a smaller scale, however if originality of shape is to be considered then bend simplify algorithm will work best while for Smooth technique on polygons and lines, PAEK Algorithm is better.

Role of Women in Edmund Spensers The Faerie Queene Essay -- Faerie Qu

Role of Women in Edmund Spenser's The Faerie Queene      Ã‚     Edmund Spenser in his epic romance, The Faerie Queene, invents and depicts a wide array of female figures.   Some of these women, such as Una and Caelia, are generally shown as faithful, virtuous and overall lovely creatures.   Other feminine characters, such as Errour, Pride, and Duessa are false, lecherous and evil.   This might seem to be the end of Spenser's categorization of women; that they are either good or bad.   Yet upon closer examination one finds that Spenser seems to be struggling to portray women more honestly, to depict the "complex reality of woman" (Berger, 92).   Spenser does not simply "idealize women or the feminine viewpoint" as he could easily do via characters like Una, but instead attempts to "revise and complicate the traditional male view" of women (Berger, 92, 111).   Spenser endeavors to show various female characters, in both powerful and weak roles, and also to emphasize the importance of women in his society.   D espite his intentions to give a fair representation, however, it is still obvious that Spenser was influenced by a society with a culture â€Å"whose images of woman and love, and whose institutions affecting women and love, were products of the male imagination† (Berger, 91).   Throughout The Faerie Queene, Spenser reveals his anxiety about women and their power.      Ã‚  Ã‚  Ã‚  Ã‚   Una, one of the most crucial figures of the first book, is a perfect expression of Spenser's hesitance towards depicting women in a single confining manner.   At times Una seems strong and confident, at other times she is shown as weak and helpless.   Before their separation, and after their rapprochement, Una is the one who often rescues Redcr... ...cator 55:1 (1996):   6-9. Berger, Harry Jr.   Revisionary Play:   Studies in the Spenserian Dynamics.   Los Angeles: University of California Press, 1998. Broaddus, James W.   Spenser’s Allegory of Love.   London:   Associated University Press, 1995. Craig, Joanne.   â€Å"’All flesh doth frailtie breed’:   Mothers and children in The Faerie Queene. Texas Studies in Literature and Language 42:1 (2000):   16-33. Spiller, Elizabeth A.   â€Å"Poetic Parthenogenesis and Spenser’s Idea of Creation in The Faerie Queene.†Ã‚   Studies in English Literature 40:1 (2000):   63-90. Stapleton, M. L.   â€Å"’Loue my lewd Pilot’:   The Ars Amatoria in The Faerie Queene.†Ã‚   Texas Studies in Literature and Language 40:3 (1998):   328-341. Villeponteaux, Mary.   â€Å"Displacing Feminine Authority in The Faerie Queene.†Ã‚   Studies in English Literature 35:1 (1995)   Winter 1995:   53-68.

Caring for Individuals with Additional Needs Essay

In this task the explanation of why individuals may experience additional needs will be provided. There are 4 main categories of disability. I will list them and also give an example of each category and also say if the disability is physical, cognitive or sensory. Physical meaning having problems with strength or co-ordination within caused by having an accident or an inspection. Cognitive meaning a person having problems with learning and understanding everyday things. Sensory – this can be a problem with learning through sight, taste, smell, touch and hearing. Basically this has to do with the five senses. The categories are: Genetic (from a family member through blood) – Sickle cell is contracted through either parent (mother/father) who has the trait. This trait can be passed on to the child or children. If the father has a trait and the mother has a trait, the child can get the full trait. This category is physical. Accidental – accidents can cause disability e. g. a person driving a car and accidentally hits down a person walking in the road; this can cause major damage to this person. The person could be paralyzed for life. This category is physical and could also be cognitive because this person could have hit his/her head and ended up being brain damage. The brain damage can lead to this person losing most of the knowledge he/she had before and have to start learning all over again. Developmental – can be caused be a pregnant woman having difficulty in the womb or during birth. A child can develop disability while growing up for example contracting Meningitis. Possible complications that can be caused are hearing loss, learning disability or problem with co-ordination and balance. This category can be sensory, physical or cognitive. Environmental – can be caused by working in a place where there is lots of dust or even smoking can cause a person to develop asthma or other infections. This category can be physical.

3 Reasons to Try New Learning Styles

Men In The Great Gatsby - Free Essay Example

Sample details Pages: 5 Words: 1550 Downloads: 2 Date added: 2019/03/26 Category Literature Essay Level High school Tags: The Great Gatsby Essay Did you like this example? The human brain is capable of doing many things, even the unimaginable. Ones actions may seem irrational to others, but that persons motives is the drive that initiates the action. The psychological critical theory is a perspective in biology that looks into someones mind and thoughts to better understand the forces that drive their motivation. In the novel, The Great Gatsby, author F. Scott Fitzgerald utilizes the characters Jay Gatsby, Daisy Buchanan, Tom Buchanan, and Nick Carraway to portray why their motivations occur. Jay Gatsby is motivated by his desire to relive the past. Every decision he makes is to impress the girl of his dream and the girl he first fell in love with. Gatsby is a young man in his thirties who grew up living impoverished. He met and fell in love with the women of his dream as a military officer. Her name was Daisy. He was drawn toward her luxurious lifestyle and he wanted to live a life of extravagance with Daisy forever. However, Gatsby was not wealthy enough to be with the girl of his dreams, so he had to convince Daisy of his worth. Jay left to fight in the war, and Daisy was waiting for him to get back. He knew that he could not satisfy Daisy with the money he had, and needed to gain an education and get rich so that he could impress Daisy. While waiting for Jay, Daisy got impatient and married Tom, a man who has inherited all of his wealth and impressed Daisy. Don’t waste time! Our writers will create an original "Men In The Great Gatsby" essay for you Create order Gatsby is inspired to do whatever it takes to win the love of his life back. Gatsby’s devotion to secure Daisy’s love again cannot be accomplished without him becoming rich, so he works to get the money needed to win back Daisy. Gatsby achieved this goal through crime such as distributing alcohol illegally. When Tom says that he, â€Å"found out† about Gatsby’s, â€Å"‘drug-stores’† Gatsby admitted to his mischief and responded â€Å"What about it?† (Fitzgerald 110). This portrays the idea that Gatsby was willing to do whatever it takes to get the love of his life back. Gatsby’s five year success in fortune would be thrown to waste if he couldn’t grab the attention of Daisy. Jay â€Å"bought† a colossal mansion in West Egg â€Å"so that Daisy would be across the bay† (Fitzgerald 72). He also threw extravagant parties every weekend where uninvited guests were allowed to show up hoping that one day Dai sy would show up in his mansion, to knowing that it is his and they could relive their past. Gatsby and Tom’s feud over the dream girl Daisy disrupts the dream that Jay desires and causes him to lose sight of his dream. Gatsby ends up pressuring Daisy into falling back in love with him, but Daisy is content with Tom and will only play games with gatsby to get what she wants. His unwillingness to let go of the past ultimately gets him killed because he fails to understand that Daisy will not leave Tom because of the comfort that Tom has provided during the five years that Jay and Daisy have been apart. Fitzgerald demonstrates the traumatic losses of a self-made man through Gatsby. He uses Gatsby’s trauma and psychological loss after losing Daisy as the reason to his motives which is the reason why he fails to leave the illusive world of living in the past. After leaving Daisy to go fight in war, Jay was psychologically damaged as he lost the only thing that mattered to him. It is that â€Å"Gatsby encountered his first trauma when he could not keep Daisy in his life† (Bui 43). This caused him to escape from reality and enter a world or a mindset where he was still with Daisy, but this was all an illusion to reality. Five years went on and Gatsby continued to fall in a deeper hole of a fantasy life, thus making it harder to move on and consequently be the cause of his death. Nick Carraway is motivated by money and success. Nick originally lived in the Midwest and had a guaranteed job in the family business. However, Nick moves to New York hoping to start a new life filled with money and extravagance. He buys a cottage in West egg and gets a job in bonds. Once in New York, Nick notices that he enjoys the city and the people’s lifestyle around him. He gets a taste of the luxury that Gatsby has and is eager to start his new life. Nick notes that â€Å"There was so much to read, for one thing, and so much fine health to be pulled down out of the young breath-giving air. I bought a dozen volumes on banking and credit and investment securities† (Fitzgerald 23). Nick wants to be like gatsby and learn the ways of his lifestyle, so he joins Gatsby at Gatsby’s weekend parties and is invited to spend time with Jay for lunch many times. However, after being exposed to many of Gatsby’s jobs with Wolfshiem and his drug store business, Nick hesitates on going through with his dream. He also helped cause a battle over a girl between Gatsby and Tom. When Gatsby dies, Nick is aware that no one really cared about Gatsby and no one attended his funeral. This makes Nick question his whole dream and later realize that his original motivation was an illusion to reality and was quite damaging to the mind of oneself. Nick is able to go back on his dream because he is a calm, level headed man who sets goals for himself and knows when to give up on his dream. After getting tied up in the Gatsby versus Tom drama over Daisy, Nick struggles to escape from it all. While trying to fight and work for his own fortune, Nick finds himself looking after others rather than himself. He gets caught up in the extravagant lifestyle of Gatsby, Daisy, and Tom and puts his future success behind him at times. He is trustworthy, but almost too trustworthy as he keeps a lot of personal secrets to himself, such as Tom and Myrtle’s affair, Gatsby and Daisy’s attempt at love again, and also Gatsby’s ways of making money. This allows Nick to stand out and stay as an outsider to the world around him. Nick is able to avoid destruction in his motives and mindset because he â€Å"does not recognize the world of trauma and loss that Gatsby has encountered in losing his ideal love† (Bui 43). Nick also had the opportunity to reflect and evaluate Jays experiences after being â€Å"traumatized by the life of Gatsby† (Bui 43). This allowed him to learn from Jays past and prevent him from falling into a psychological mess. Tom’s goal is to maintain his power through his riches by being a racist, a sexist and also abusive. Tom is a large man with a cruel body and voice. His power and strength comes from being a college athlete. Tom’s appearance resembles his actions. His strength and hardship gives him the ability to be both aggressive and threatening. There are many instances where Tom feels as if he is losing his authority over someone so he reacts in away that will keep him in power. For examples, when Myrtle repeats the name â€Å"Daisy†, Tom feels as if he is loosing his control over her and by â€Å"Making a short deft movement,† he â€Å"broke her nose with his open hand† (Fitzgerald 44). Tom gets himself into trouble with Daisy and almost loses her to Gatsby because of his need to have power. He treats Daisy as an object sometimes and leaves her for Myrtle but, he â€Å"always† goes â€Å"back† (Fitzgerald 108). Tom is fortunate that he kept Daisy comfortable for the five years that they were together before Jay comes back for her. Otherwise he would have lost his power and authority in the relationship and Daisy would feel comfortable in leaving him. Tom avoids traumatic losses by keeping the love of his life Daisy with him and not with Gatsby. Tom could have easily spiraled down into a dark place if he lost both Myrtle and Daisy. After losing Myrtle, moving away from New York was the best thing for him as he was able to move on without negative effects to his traumatic loss. Tom will stay in power and have authority over people if he has both money and Daisy, and through the novel, he manages to keep both even after a rough patch with Daisy. Francis Scott Fitzgerald utilizes Gatsby’s motive to repeat the past, Tom’s need of having authority and power, and Nicks will to do whatever it takes to be successful to illustrate how people use their motivations to work for and eventually meet the expectations of their own American Dream. Many people have a drive or a motive in their brain that makes them react the way that they do. The psychological critical theory also helps explain the intentions of others. Works Cited Bui, Thi Huong Giang. â€Å"Jay Gatsby’s Trauma and Psychological Loss.† Department of English Literature, Fukuoka Women’s University, Japan, 17 January 2013, pp. 42-46. Fitzgerald, F. Scott. The Great Gatsby. New York, Scribner, 1925.