Wednesday, January 29, 2020

Catherines determination and is getting angry Essay Example for Free

Catherines determination and is getting angry Essay Now she has admitted to herself, not only to Rodolfo that she is afraid of Eddie. She is trying to escape Eddie and her feelings for him because she could picture what would happen if she stayed. It would be an awkward situation with Eddie and Beatrice keeping an eye on what she is doing. Although Eddie is not Catherines father, he is a very strong father figure to her and the man of the house. The immigrant community is very much a patriarchal society, parallel to Italy. The father and male is an authority figure. Eddie is very protective of Catherine in both positive and negative ways. Eddie really loves and cares for Catherine, and will do anything to protect and look after her, but his love for her is obsessive and possessive. Eddie feels he should choose her husband, as was the done thing in Italy, but Eddie cannot let go of Catherine. Up to the end of page 44 Rodolfo reassures her that they wont be living in Eddies house for much longer and tells her about his ideas for the future, to stay in New York legally, marry Catherine, have their own house and find a better job. Yet Catherine is still interested if he had to go and live in Italy because they had to, would he? Rodolfo, at this point, is getting quite aggravated by her persistence in wanting to go to the country he desperately left, to escape his problems. After they argue about this for a little, this makes the audience more involved in their fight. It makes the audience want the best for the couple but they cant solve their differences because they are only watching. Rodolfo is seemingly surprised at Catherines determination and is getting angry. Maybe this is a test to see if Rodolfo really does love her. If he does, he would marry her whenever, wherever. Rodolfo tries again to tell her. Rodolfo ~ No; I will not marry you to live in Italy. I want you to be my wife, and I want to be a citizen. Tell him that, or I will. Yes. And tell him also, tell him yourself, please, that I am not a beggar, and you are not a horse, a gift, a favour for a poor immigrant. I believe this small speech is very suspicious because first of all he says he wont go to Italy, he will only be her husband if he marries her in America probably because he wants to be a citizen. Then he jumps straight to Eddie, who hasnt been mentioned for a while. It is clear that Eddie lies behind the mood of Catherines. He wants her to tell Eddie that he is not a beggar, yet Rodolfo doesnt explain why he cant do it himself. Even though Catherine is trying to calm Rodolfo as the dispute continues, Rodolfo feels the need to get things off his chest, and Catherine doesnt make any attempt to defend her suggestion. This is because she knows deep down he is right and is making up an excuse for indicating it to Roldolfo. He speaks again about how bad poor Italy is compared to, the land of hope glory, America. Now Rodolfo, again, brings up Eddie. The audience are, at this time, very emotionally involved and might take sides to the characters. They might even relate to this situation making it even more dramatic and effective. When Rodolfo asks why she is afraid for him and her reply is I dont know, it shows that she is unsure of her feelings toward Eddie because Eddie cant explain his feelings for her. Catherine ~ Its only that I- He was good to me, Rodolfo. You dont know him; he was always the sweetest guy to me. He razzes me the time but he dont mean it. I know. I would just feel ashamed if I made him sad. Cause I always dreamt that when I got married he would be happy at the wedding, and laughin- and now hes- mad all the time nasty. Tell him youd live in Italy- just tell him, and maybe he would start to trust you a little, see? Because I want him to be happy; I mean- like him Rodolfo- and I cant stand it! This confession shows the audience how a usually private Catherine is truly feeling inside. Catherine finally explains to Rodolfo the real situation between her and Eddie and what happened before the cousins came. Catherine really wants the two important men in her life to get along so she tries to explain Eddies unpredictable character to Rodolfo. Catherine explains about him criticising her all the time because she really wants him to understand. She describes her dreams of her wedding and thinks of a way of gaining Eddies trust. But the idea of moving to Italy has changed, because originally it was meant for her and Rodolfo to have a new life but now it has been replaced as a way of satisfying Eddie. It could show minor feelings for Eddie. Rodolfo realises how this whole situation is really making Catherine miserable and I think Rodolfo feels really sorry for her so doesnt challenge her again. He knows she has had enough. Catherine says that she loves Rodolfo, but he then replies with comment, which again, has a hint of humour. Rodolfo ~ Then why are you afraid? That hell spank you? He dismisses her personal confession. This could be put down to him not taking Catherine seriously and might imply that he is using her. I think that Catherine at this point will be (secretly) at breaking point with Rodolfo because he isnt making any effort to understand her situation. He isnt taking her thoughts into consideration and is making it out to be some kind of a joke. But maybe it was just a nai ve, honest question. Catherine ~ You dont know; nobody knows! Im not a baby, I know a lot more than people think I know. Beatrice says to be a woman, but- With Catherine bringing up the subject of Beatrice its obvious that the conversation between Beatrice and Catherine earlier on in the play has been playing on her mind. She must have been thinking about what Beatrice said to her and tried to act on the advice given. It is Beatrice who is quick to keep the ball rolling in a conversation and to help gloss over and neutralise difficulties and reactions in the many conversations. Beatrice is very attentive and she develops as Catherines mediator in the play and it is very much as a pacifier how the audience sees her. Now she is absent from this scene Catherine might feel bitter towards her because she is not here to watch her. Maybe this is another sign of Catherines insecurity. Next, I think there is a slight bit of jealousy on Catherines part. She starts complaining about Beatrice and her cold nature towards Eddie. I believe that she is trying to change the subject so they dont have to talk about Eddie anymore. She says she knows Eddie inside out and she doesnt understand why Beatrice is told her to make a stranger out of him. She dont know why I have to do that? She is showing that she loves Eddie almost as deeply as she loves her. Maybe, again, her acting nai ve and it always gets used against her. But she might not be acting on it. Rodolfo tries to explain the situation to her by using a metaphor to help her understand. They stop fighting and decide to go to bed with each other. They both know they cant fight each other because neither of them can win, they dont know enough about each other. Now Eddie is in the apartment and drunk the audience gets a sense that something exciting yet unpredictable may happen. Eddie looks impatiently in the kitchen for Beatrice who is asleep and Catherine enters from a bedroom, the atmosphere must be very tense and quiet in the theatre making the play more realistic.

Tuesday, January 21, 2020

Wake Up, Stark County! :: Sleeping Disorders Essays

Wake Up, Stark County! Approximately 40 million Americans suffer from chronic disorders of sleep and wakefulness, such as narcolepsy, sleep apnea, and insomnia. The majority of those affected remain undiagnosed and untreated. At the Doctors Hospital Center for Sleep Disorders, 1001 patients are regularly treated for some form of these disorders at the present time (Roman interview). Fewer than 5% of these patients are children and 65% are men over the age of 40. Dr. Frankie Roman, a Board Certified Sleep Specialist, operates this Center. It is the only one available to Stark County residents at this time. To adequately discuss these disorders, first we must provide a working definition of the individual conditions that the terms denote. Sleep apnea is a cessation of air exchange at the nose and mouth, lasting at least 10 seconds (Williams, pg. 48). Narcolepsy is a disorder of excessive sleepiness. This sleepiness is characterized by brief episodes of lapses into sleep that occur throughout the day, usually lasting less than an hour. Insomnia means an inability to sleep. There are many kinds of insomnia, some chemical, some emotional, and some psychological (Thorpy 104). In addition to the 40 million people with chronic sleep disorders, there are 20 to 30 million people who experience intermittent sleep-related problems. These may be due to demanding work schedules and/or various other lifestyle stress factors. The consequences of sleep disorders, sleep deprivation, and excessive sleepiness can be significant. They could even include morbidity. It has been estimated that, in 1990, sleep disorders and sleepiness cost the United States a minimum of $15.9 billion in direct costs alone (National Commission, vi). This estimate does not include the billions of dollars in indirect and related costs, such as those attributable to sleep-related disasters (e.g. Exxon Valdez grounding, motor vehicle accidents, and diminished productivity in the work place). Some sleep disorders are potentially fatal, while others are little more than an annoyance. Some are life-long, with effects on family members; others are brief and non-recurring. Falling asleep inappropriat ely can blot out a few minutes of television, or it can cause catastrophic damage to life and property. Patients are often thought to be lazy and can become socially isolated from friends and family. I am a victim of sleep disorders. I suffer from sleep apnea and narcolepsy. I am a regular patient at the Sleep Disorder Clinic at Doctors Hospital. Here, I am wired to various electrodes which protrude from my head and then am told to go to sleep naturally! My breathing and brain waves are monitored, and I am later informed of how many times a night I have ceased to breathe on my own.

Monday, January 13, 2020

Aircraft Trajectory Prediction

Literature Review Aircraft Trajectory Prediction By Cameron Sheridan I. Abstract The purpose of this review is to identify and analyse work that is currently being done on aircraft trajectory prediction (ATP); particularly the approach of modern day researchers to the problematic issue of the growingly clustered airspace. The benefits of this review include the exploration of several sub-topics of the literature.Through examining the current methods towards trajectory modelling validation and the techniques that are now employed to neutralise error sources, it was found that with the modern-day approaches an algorithm and its trajectory prediction (TP) can be assessed and consequently improved upon. A number of systems pertinent to conflict are discussed and results are presented which illustrate and compare the effectiveness of heading and altitudinal resolution manoeuvres.Additionally, a number of recent developments and innovations in the field pertinent to the technologies and te chniques used are discussed, thus illustrating a clear indication of research still moving forward in this field. II. Introduction An ATP is a ‘mapping of points over a time interval [a,b] to the space R? ’ (Tastambekova et al. 2010, p. 2). Although this is correct in many senses, this explanation fails to acknowledge the intricacy and designed purpose. More accurately, a TP module has the capacity to calculate the future flight path of an aircraft given that it has been supplied with the required data, i. . the flight intent, an aircraft performance model, and finally, an estimation of the future atmospheric/environmental conditions (Swierstra and Green 2004). An aircraft trajectory is a future path of an aircraft that can be represented visually in three forms: 2D, 3D and 4D (x, y, altitude and time) with 4D the more frequently used nowadays by air traffic control (ATC) and air traffic management (ATM) due to its far more realistic representation and ease of interpret ation (Vivona et al. 2010; Poretta et al. 010; Paglione and Oaks 2009). The significance of ATP is certainly appreciated. There is support for the importance of TP and the role it plays in advanced ATM operations, especially with a growingly clustered airspace in the next decade (Lee et al. 2010; Porretta et al. 2010 and Denery et al. 2011). The most crucial function of a TP however, as viewed by Lymperopoulos and Lygeros (2010), is to supply advice to ATC. Consequently, they can then make well-informed executive judgments to ensure the safety and effectiveness of our airspace.The purpose of this study is to inform what is happening in this field through examination of both the developments within ATP and the current problems facing researchers: namely, the significant increase in air-traffic by 2025. This will be done through exploring recent literature in this field that pertains to: conflict detection and resolution; the technologies and techniques involved; and, the error source s that are involved with a prediction and their subsequent effect on the uncertainty of a prediction. III. Modelling Validation and UncertaintiesEfficiency and accuracy are two central points of this literature, which alone could be considered as the determining factors of a respectable TP model; thus, sufficient research is required to improve both, without the sacrifice of one. How does one validate the performance of an algorithm and whether its TP is ‘accurate’? The common answer it seems (Anonymous 2010 and Paglione and Oaks 2007, pp. 2) is through the degree of conformity between the measured or predicted data and the true data of an aircraft at a given time. A. Uncertainties Figure 1: Paglione and Oaks (2009) Figure 1: Paglione and Oaks (2009)Uncertainties are perhaps the biggest hurdle in further advancements in this field. Obviously, as the prediction increases in time, the uncertainties of the flight begin to take effect – up to a point where the trajec tory becomes almost impossible to predict accurately with any degree of assurance. The consequential effect of uncertainties in a prediction may result in: two or more aircrafts losing separation; an aircraft not arriving to schedule; or even, the inability to detect flaws in either the ATP algorithm or the aircraft itself, to name a few. Therefore, there is a need to lessen the ffect of these lingering burdens. In reality this is quite difficult, and as such, requires particular attention of the algorithms used by an aircraft to validate its performance. B. Modelling Validation Performance validation verifies that a TP model performs correctly, and determines the degree of accuracy of a model’s representation compared to the real system (Vivona et al. 2010 and Garcia et al. 2009). There are further ways to validate predicted data; such methods include those shown by Paglione and Oaks (2007) who looked at the associated accuracy metrics; Poretta et al. 2008) who evaluated a 4 D TP model for civil aircraft; and finally, the Plan, Do, Study, Act (PDSA) evaluation process of a TP (see figure 1). This practice and its application have been shown by Paglione and Oaks (2009). Inspired by the relationship of trajectory predictors to higher level applications, the authors stressed the need for improving modelling procedures through an iterative process consisting of four stages. Fredrick et al. (2009) were able to analyse ways to validate a program with their test and evaluation process.Particular focus was on a metrics approach which offers measures on the performance of an aircraft. This method may provide greater effectiveness in programs and is proclaimed to play a â€Å"critical role as a continuum of supporting activities for the TP programs† [Fredrick et al. (2009), pp. 9]. Vivona et al. (2010) also proposed a new methodology in her work which is designed for a similar purpose. The techniques used are titled ‘white box testing’ and â⠂¬Ëœtest bench testing’.The former involves knowledge of the internal processes that occur within a TP model, and through this information there will be a sequence of tests which accumulate together to validate the entire TP. The latter test is slightly different in that, as opposed to analysing current state data, it requires entering input data into an algorithm’s interface and then assessing the data that was produced as a result. Both are expected to become more commonly used in the approaching years. C. Error Sources and Corrective MeasuresJackson (2010) reiterated the ineffectiveness and poor performance of automation systems in the company of errors and uncertainty sources. This suggests, and was considered equally by Paglione and Oaks (2009) and Vivona et al. (2010) that the performance of these systems is dependent on the accuracy of the TP. Consequently, the requirement to minimise all potential error sources has particular precedence in current research. Env ironmental factors (wind, temperature, air pressure, etc. ), along with human errors and algorithmic/system imperfections are the typical causes for the uncertainty in a prediction.Further error sources such as: the measurement of aircraft state; aircraft performance models; knowledge of aircraft guidance modes and control targets; atmospheric model; and, clearance issues are all predicted to be integral to the improvement of TP modelling accuracy in the near future (Jackson 2010). Alternatively, rather than striving for a flawless system, processes such as the offline smoothing algorithm (Paielli 2011); application of the rapid update cycle (RUC) of the weather (Lee et al. 010); and techniques that take the perspective of the DST user [Interval based sampling technique (IBST)] (Paglione and Oaks 2007) have been established to improve aspects of a prediction model. The first of these has the capacity to improve the accuracy of DR predictions through the smoothing of the radar tracks (shown below). Blue dots Way-points Black full-line Actual path of aircraft Red curve Smoothing of track Blue dots Way-points Black full-line Actual path of aircraft Red curve Smoothing of trackThis was demonstrated through application of the technique on past recorded operational error cases. The usage of RUC provides ATC with the benefit of detecting ‘regional variations of uncertainty that are related to actual weather phenomena’ (Lee et al. 2010, pp. 14). The concept behind IBST is that a trajectory provided to a controller may be old and thus filled with errors and uncertainties; so, this two-step process operates by determining the accuracy of the aircraft – through computing spatial errors – after passing through pre-determined waypoints (Paglione and Oaks 2007).Additionally, given the effect of environmental factors on a prediction, there are procedures present to counter the influence of the sources. Russell (2010) presented the ‘consolidat ed storm prediction for aviation’, which is a prediction on the water content of clouds done through a grid-based prediction which may forecast predictions anywhere up to 8 hours. Results showed that this system was effective up to 2 hours as the predicted data correlated well with the observed weather within a given sector; however, as expected, when the look-ahead time increased the accuracy and reliability steadily decreased.IV. Conflict Detection and Resolution A. Conflict Detection There has been a quantity of research on CDR within this literature, particularly over the last few years (Denery et al. 2011 Erzberger et al. 2009; Tang et al. 2008 and Paielli 2008). In order to overcome the problem of ensuring air safety, technology must exist which prevents a conflict from occurring. A conflict, in an aeronautic context, as described by Paglione and Oaks (2009) is a situation where two or more aircraft exceed the minimum separation distance standards, which can be deduced through a visual TP.The purpose of CDR systems is to alarm ATC well in advance of a predicted collision occurring to allow preventative measures (Erzberger et al. 2009). Paielli (2008) believes that the key challenge in the next decade will be to establish an automated system that is capable of ensuring that the collision probability remains low, even in the face of a number of possible hindrances: i. e. the predicted increase in air traffic in future decades; the (at times) complexity of the system; frequent false alarms; and, the capability of CDR tools to advise the most appropriate manoeuvre.Three of the most highly regarded and reviewed conflict systems amongst ATC (Tang et al. 2008; Paielli 2008; Paglione and Oaks 2009; and Erzberger et al. 2009) are Tactical Separation-Assisted Flight Environment (TSAFE), Conflict Probe (CP), Conflict Alert (CA), and User Request Evaluation Tool (URET). TSAFE has two primary functions 1) conformance monitoring – a process that determin es the degree to which an aircraft is meeting its earlier prediction; and 2) trajectory synthesis – the construction of the 4D path.URET was developed to help air traffic controllers by supporting a greater number of user-preferred flight profiles, and increasing both user flexibility and system capacity. ERAM is a Federal Aviation Administration system that has been designed primarily to deal with both route requests and in flight alterations swiftly. Figure 1: Poretta et al. (2010) Figure 1: Poretta et al. (2010) Paglione and Oaks (2009) highlighted the correlation between a TP’s accuracy and a decision supports tool’s (DST) performance. They assessed a number of statistical analysis models including TP metrics (i. . horizontal and vertical) and conflict probe metrics (Along-track; Cross-track; horizontal error; and, altitude). They focus on and use these accuracy metrics to establish a ratio value. Ratio= Horizontal or vertical separationMinimum allowed separ ation distance (i. e. parameter cut off value) As this ratio increases, the likelihood of producing false and missed conflict alerts increases– while the probability of producing valid alerts decreases. In Paglione and Oaks (2009) they identified the requirement for a ‘process improvement model’ – i. . Plan-Do-Study-Act (PDSA) – to evaluate and find possible enhancements on a studied TP system to reduce the ratio value. Investigations into false alerts and missed conflict detects have also been conducted recently by Denery et al. (2011) and Poretta et al. (2010). Processes Decisions Data that may be modified Data that may not be modified Algorithm execution flow ——- Data flow Processes Decisions Data that may be modified Data that may not be modified Algorithm execution flow ——- Data flowThe latter presented a CDR algorithm (figure 2) which shown by numerical results, is able to produce a conflict-free trajectory whilst a lso noting the aircrafts capabilities to perform all recommended resolution manoeuvres. Figure 2: Poretta et al. (2010) Figure 2: Poretta et al. (2010) Figure 3: Denery et al. (2011) Figure 3: Denery et al. (2011) Denery et al. (2011) highlighted consequent issues to the above problems – principally, the distraction of controllers and the need to constantly verify whether a concern exists or not.In reply, they proposed a new algorithm, flight-intent (FI) that takes into consideration the present status of the aircraft and all available intent data. Tests were performed with this system in comparison to two other conflict detection algorithms: dual trajectory algorithm (Dual) and dead reckoning (DR). Results (figure 3) illustrate that the FI algorithm yields considerably less false alert rates, especially when the algorithm – already incorporated with area navigation (RNAV) and a noise integrated routing system (NIR) – was paired with the integrated administratio n and control system (IAC).B. Conflict Resolution Additionally, Anonymous (2010) also noted that two of another CDR systems (conflict probe) faults – including conflict alerts – are that the technology is at times inefficient and will occasionally produce false alerts (or conversely, the lack thereof alerts). The CP’s performance is also compared to URET in tests performed by Santiago et al. (2010). Deductions that were made from this report included the possible benefits of increasing both the look-ahead time of a prediction to 25min, and the minimum horizontal parameters. Further investigation (Paielli 2008; Paielli et al. 009; and Denery et al. 2011) with TSAFE has been ongoing with the aim to develop an algorithm to perform at least as effectively as URET. Ryan et al. (2008) also looked at achieving this goal. They analysed and compared an emerging conflict resolution algorithm, ERAM, against URET in a quantity of tests and comparisons that were designed to evaluate the precision of the technology. ERAM’s accuracy and strategic conflict notification capabilities were belittled in comparison to the URET system, where ERAM only managed to obtain the minimum standard in two of the seven test categories.TSAFE is often used as a back-up strategic system that computes simple resolution manoeuvres to resolve potential conflicts that are expected to occur within two minutes (Denery et al. , 2011; Paielli et al. 2009; Alonso-Ayuso et al. 2011). TSAFE and its application during en route is the primary focus of Paielli (2011). Examined in his work was the heading-trials algorithm that he developed. This system produces a number of possible manoeuvre resolutions that change the heading of the involved aircraft in  ±10? increments up to  ±90? f the original direction of travel. The best of these manoeuvres – in terms of cost and applicability – is then measured against the best altitude manoeuvre by means of a separation ra tio (see pp. 4). His experimentation was on 100 past operational error cases where a conflict had occurred. His results (shown on table 1) illustrate the effectiveness of each manoeuvre in each particular situation. Consequently, he was able to deduce that altitudinal amendments were far more advantageous than his proposed heading algorithm. For e. g. the right most column indicates that when the separation ratio was ? 1. 2, 95% of the altitudinal amendments resulted in a successful avoidance of conflict, whilst the heading algorithm only resolved a comparably low 62% For e. g. the right most column indicates that when the separation ratio was ? 1. 2, 95% of the altitudinal amendments resulted in a successful avoidance of conflict, whilst the heading algorithm only resolved a comparably low 62% Separation ratio (? ) %| | 0. 2| 0. 4| 0. 6| 0. | 1. 0| 1. 2| No resolution| 98| 92| 74| 25| 0| 0| Heading only| 99| 95| 91| 77| 71| 62| Altitude only| 100| 100| 100| 100| 99| 95| Heading + a ltitude| 100| 100| 100| 100| 100| 98| Table 1: Paielli (2011) Table 1: Paielli (2011) Similarly, Paielli (2008) performed a comparable experiment with a restricted focus on altitude manoeuvres. His results further validated the success of such resolution procedures, particularly when augmented altitude amendments were supplemented to the input data (see table 2).The purpose of adding these amendments in his experiment was to compensate for the controllers negligence or inability to do so at the time of the conflict occurring. Note: Other tests and procedures that were tested in (Paeilli 2008) are not shown, i. e. altitude rejections; temporary altitudes; step altitudes; and, critical level-offs. Note: Other tests and procedures that were tested in (Paeilli 2008) are not shown, i. e. altitude rejections; temporary altitudes; step altitudes; and, critical level-offs. | Separation ratio (? ) %| | 0. | 0. 4| 0. 6| 0. 8| 1. 0| 1. 2| No resolution| 99| 94| 75| 29| 0| 0| Augmented altitude amendments| 100| 99| 99| 97| 94| 90| Table 2: Paeilli (2008) Table 2: Paeilli (2008) Note was made in both reports that operational error cases are by no means a precise representation of the computer-generated routine operation that occurred. Given the importance of conflict detection and resolution it is important that ample research continues in this field to ensure the safety and welfare of all air traffic. V. Techniques and Technologies A. TechnologiesCDR could not be possible if there wasn’t the appropriate equipment present today to compute the complex algorithms that are used. A 4D TP is established upon no easy means. Cate et al. (2008) articulate that it not only requires (at times) convoluted formulas, but also the technology and methodologies to then dissect and string together the state and intent data of the aircraft. The techniques and technologies currently utilised are crucial in this field. Already discussed above are a number of systems which are integral to the concept of trajectory prediction as they all serve a specific purpose.This is exemplified when looking at the conflict detection and resolution component of this literature, where there are often four stages to the process: 1) Traffic collision avoidance system (TCAS) which focuses on the immediate future (

Sunday, January 5, 2020

Notorious Outlaw, Machine Gun Kelly Essay - 992 Words

Machine Gun Kelly The 1920’s otherwise known as the roaring twenties was the era of prohibition outlawing alcohol and the era of gangsters like al Capone and Machine Gun Kelly. If it wasn’t for the outlawing of alcohol I would probably be out of work dirt poor. I would be back on my farm in Tennessee where I grew up shoveling cow shit and arguing with my drunk of a dad every night. The first chance Kelly gave me to go back to Chicago with him I took, taking full advantage of the gang life. July of 1933 was a very eventful month for me and the rest of Machine Gun Kelly’s gang. My name is John Hand, notoriously known as â€Å"Hand Gun Johnny†, a name Kelly gave me as I rose to the ranks of his right hand man. Kelly had made a name for him†¦show more content†¦After a few hours of interrogation we finally identified Urschel and threw the other man out the sedan on the side of a deserted road, after we robbed him of the $51 he had on him. It was a short but endless ride to a rural ranch in Texas where we held Urschel. We then demanded $200,000 in all twenty dollar bills. The rest of the gang showed up a few days later, right about when a family friend of Urschel, E.E Kirkpatrick delivered the ransom. We were smart enough not to lead Kirkpatrick to the ranch so we told him to deliver the money near the LaSalle Hotel in Kansas City on July 30th. The following day we let Urschel go in a local restaurant to call for a cab, the whole kidnapping took nine days in total. We all split the ransom money and went our separate ways, except for me, Kelly, and his wife. We started to state hop so we could stay two steps ahead of the law, the Center Bureau of Investigation built up enough evidence start a nationwide search and to put Kelly and his accomplices in jail for life. We spent most of our time in Chicago of course under different identities living a rich lifestyle while it lasted. After a few weeks we finally made it to one of Kelly’s longtime friends house in Memphis, his name was John Tichenor. The first night there Kelly had been drinking a lot but it was nothing new to me. On the morning ofShow MoreRelatedProhibition And Prohibition Essay1190 Words   |  5 Pagesinfluence skyrocketed. For example, some gangs in New York City paid poor immigrant families to maintain stills in their apartments which was more profitable and safer than other, more legal, sources of income. Even once law abiding citizens became outlaws simply by distilling a lcohol for their own personal consumption. Consuming the products of home distilleries were not without its own risks, however. Many people died of alcohol poisoning because some products were made with wood alcohol. Since