Mexican American And Mexican Americans - 1731 Words

II. Mexican Americans A. Brief explanation regarding the history of this ethnic group Mexican’s American who are they, and why did they migrate to American; what were they in search of. Mexican American’s are one of the largest ethnic group in America today average of more than half of the populace; nearly reaching more than 30 million in the United States alone. Compassed by these immigrants more than half are here illegally that migrated over to the United States in search of a better living. Moreover, others are here as original citizens, or of the group that was given naturalization. Thus, taking place in deliberation of the colonial era, in the mid 1920’s, where increasingly moor Mexican’s foreigners have crossed our†¦show more content†¦B. Reasons to immigrate i. Reason 1 Better Life style, and better education; and financial support for family members in Mexico A. While Mexican American’s came to America for many diverse motives, utmost come to seek a better life style, including that of pecuniary sanctuary; to be able to support their relations abroad. B. While others crossed the border to obtain a better eminence of education for their offspring, especially, those looking to obtain a sophisticated step ahead of the rest. ii. Reason 2 Medical assistance, Suitable housing; and school funding A. Another alternative motive why Mexican Americans come to America is in pursuit for remedial assistances to better their education. B. They also come to look for low income homes, something that is not offered to them in Mexico; or that may have shaped unethical living circumstance. C. Thirdly, they cross the border to establish medical attention and health benefits, since Mexico only offers very underprivileged homoeopathic aid for these populaces. C. Public policies affecting the ethnic group (two policies per group are needed) i. Public Policy 1 On June 15, 2012 President Obama put in an executive order called DACA (Deferred Action for Childhood Arrivals) which cancelled or delayed any form of punishment to these migrants from deportation of their children if theirShow MoreRelatedMexican American And Mexican Americans Essay1126 Words   |  5 Pagesin the United states are Mexicans (Gonzales-Barrera Lopez, 2013). Mexican American’s are considered minorities in the United States. There are many reason why I am choosing to explore Mexican Americans for this paper. As a minority myself, I can relate to some of the struggles that Mexican American’s may face. However, there are some things that I will never relate to or know the personal aspect of the Mexican culture. Just like any other population, Mexican Americans have their own culture, valuesRead MoreMexicans, Chicanos, Mexican Americans2395 Words   |  10 PagesMexicans, Chicanos, Mexican-Americans, Indigenous, and more are just a few of the terms used to refer to people of Mexican descent. Many Hispanics attempt to enter the United States in search of a better life and to have an enjoyable way of life. However, living in constant fear of being deported and consistently being judged simply because of one’s color, or the inability to communicate in English; that does not sound like the American dream. Typically, people have real reasons to emigrate to theRead MoreMexicans And Mexican American Youth2035 Words   |  9 Pagesminorities in the United States can largely be seen in the treatment of Mexicans and Mexican American citizens in the times surrounding World War Two. Such hostilities are reflected in our treatment of Mexican Americans in the late 19th after the Civil War and early 20th centuries, the Sleepy Lagoon murder responses, and the Zoot Suit riots. My primary source reveals a feeling of inferiority in the United States by the Mexican American youth due discrimination that they faced, which can be better understoodRead MoreThe American And Mexican American Organizations1548 Words   |  7 Pagesdiscriminated against in one form or another, but an extreme example of this is with the Mexican and Mexican American citizens in the United States of America. This group of people have seen almost every form of discrimination to not being allowed in schools, to not being appointed fair and civil court cases. In order to stop the unequal treatment the Mexican American population formed LULAC, the League of United Latin American Citizens. LULAC has worked throughout the years to stop discrimination againstRead MoreMexican Culture : Mexican American Culture1857 Words   |  8 Pages Mexican-American Culture Many immigrants come to the United States from all over the world. Some bring their families, some their prized possessions, others come with nothing but determination and the goal of a better life. One thing that every immigrant brings with them is their culture. One of the most dominant minority cultures in the United States is the Mexican culture. The US shares a border with Mexico making it easier for immigrants to stay in contact with their families in their homeRead MoreThe Battle Of Mexican Americans1063 Words   |  5 PagesThe battle of Mexican Americans to end oppressive practices quickened taking after World War II. In 1948, LULAC and the recently framed American G.I. Gathering, a backing gathering of Mexican American veterans, helped with a claim that eventuated in a government locale court choice disallowing school isolation in view of Mexican family line. Areas avoided the decision, be that as it may, and true isolation proceeded. In 1955, LULAC and the Forum started a suit dissenting the act of putting TejanoRead MoreThe American Of The Mexican Revolution1229 Words   |  5 Pagesbefore and during World War II white Americans considered themselves the only true Americans. In the 1900s during the Mexican Revolution, many Mexicans migrated to the United States, to escape the violence that came from a national uprising against Mexico’s government. After the Mexican Revolution, many Mexicans fought for the United States in World War II. Mexican American patriotism helped to soften racist attitudes. Hector Perez Garcia was a Mexican American Rights advocate, looking to change theRead MoreMexican American Stereotypes1571 Words   |  7 PagesMexican-Americans are an essential part of the United States’ diverse mix of cultures. Although a prominent part of American culture, they are often repressed into stereotypes in literature. More often than not characteristics delegated to Mexican-Americans have negative connotations: poor, violen t, alien, etc. This stems from years of tension between Mexico and America, whose relationship seems to be a never-ending cycle of highs and lows. Cultural critics recognize these problems and work towardsRead MoreMexican Americans Essay1102 Words   |  5 Pagesadvocated the suspension of immigration and the deportation of non-Americans (Wisconsin Historical Society). Mexican American history was shaped by several bills in Congress and efforts to deport all non-Americans from the United States. The United States was home to several Spanish-origin groups, prior to the Declaration of Independence. The term â€Å"Mexican American† was a label used to describe a number of Hispanic American groups that were diverse and distinct from each other (Healey). BetweenRead MoreMexican American Culture1658 Words   |  7 Pagesthese traits but is not limited to these specifically. This essay will provide detailed information on Mexican Americans, and their ancestry and heritage. I will also explain about this cultures central beliefs and values, while incorporating information on Mexican Americans, cultural patterns, cultural identity, and their cultures communication characteristics and styles. Mexican Americans were decedents of Mexico, or â€Å"Estados Unidos Mexicanos† as their culture would say. Mexico is bordered

Grooms Wedding Speech - Damn Statistics Essay - 562 Words

Grooms Wedding Speech - Damn Statistics Ladies and gentleman, I have to be honest with you all and admit that I am quite nervous about standing up here and speaking this evening. While I was writing my speech I came across some interesting statistics about what guests are thinking about during a wedding speech. Apparently, twenty percent of you are thinking about getting onto the dance floor and partying the night away. Thirty percent of you are thinking about the marital status of the best man. Ladies, you may be pleased to know that he is single. Hes also not very fussy as he showed at the stag party (bachelors party). It turns out that twenty percent of you are thinking about what happened at the stag party (bachelors party).†¦show more content†¦Id also like to thank them for all the hard work and effort they have put in to make this day a success. I would like to thank my wifes parents for the kindness that they have shown me and for welcoming me into their family. Id also like to thank them for bringing up such a beautiful and intelligent daughter. I’ll leave you to argue over which trait comes from whom. Thank you to my wonderful sister for being such a great friend. I am very grateful for all the advice and the support. However, I must say one thing - I just cannot wait to do my speech when you get married I will get my revenge. Id also just like to take this opportunity to wish you a happy birthday. Thank you to my best than. I am very grateful for all the hard work and effort that you have put in over the last few weeks. Ive known you for ten years now, and despite my concerns regarding what you would plan for my stag do and your speech, you have been, and will continue to be a great friend. And so that brings me to my wife - my best friend. She is beautiful, she is intelligent, she is hard working, she is... what does that say? Im having a little difficulty reading your handwriting. No, but on a more serious note, thank you for marrying me and making me the happiest man in the world. I am often wrong, but in marrying her, I know I have made the right

Machine Learning In Medical Applications Health And Social Care Essay Free Essays

string(91) " system by increasing or diminishing the value of each divider every bit much as possible\." Machine Learning ( ML ) aims at supplying computational methods for roll uping, altering and updating cognition in intelligent systems, and in peculiar acquisition mechanisms that will assist us to bring on cognition from illustrations or informations. Machine larning methods are utile in instances where algorithmic solutions are non available, there is deficiency of formal theoretical accounts, or the cognition about the application sphere is ill defined. The fact that assorted scientific communities are involved in ML research led this scientific field to integrate thoughts from different countries, such as computational acquisition theory, unreal nervous webs, statistics, stochastic mold, familial algorithms and pattern acknowledgment. We will write a custom essay sample on Machine Learning In Medical Applications Health And Social Care Essay or any similar topic only for you Order Now Therefore, ML includes a wide category of methods that can be approximately classified in symbolic and subsymbolic ( numeral ) harmonizing to the nature of the use which takes topographic point whilst acquisition. 2.Technical treatment Machine Learning provides methods, techniques, and tools that can assist work outing diagnostic and predictive jobs in a assortment of medical spheres. ML is being used for the analysis of the importance of clinical parametric quantities and of their combinations for forecast, e.g. anticipation of disease patterned advance, for the extraction of medical cognition for results research, for therapy planning and support, and for overall patient direction. ML is besides being used for informations analysis, such as sensing of regularities in the informations by suitably covering with imperfect informations, reading of uninterrupted informations used in the Intensive Care Unit, and for intelligent dismaying ensuing in effectual and efficient monitoring. It is argued that the successful execution of ML methods can assist the integrating of computer-based systems in the health care environment supplying chances to ease and heighten the work of medical experts and finally to better the effic iency and quality of medical attention. Below, we summarize some major ML application countries in medical specialty. Medical diagnostic logical thinking is a really of import application country of computer-based systems ( Kralj and Kuka, 1998 ; Strausberg and Person, 1999 ; Zupan et al. , 1998 ) . In this model, adept systems and modelbased strategies provide mechanisms for the coevals of hypotheses from patient informations. For illustration, regulations are extracted from the cognition of experts in the adept systems. Unfortunately, in many instances, experts may non cognize, or may non be able to explicate, what knowledge they really use in work outing their jobs. Symbolic larning techniques ( e.g. inductive acquisition by illustrations ) are used to add acquisition, and knowledge direction capablenesss to expert systems ( Bourlas et al. , 1996 ) . Given a set of clinical instances that act as illustrations, larning in intelligent systems can be achieved utilizing ML methods th at are able to bring forth a systematic description of those clinical characteristics that unambiguously characterize the clinical conditions. This cognition can be expressed in the signifier of simple regulations, or frequently as a determination tree. A authoritative illustration of this type of system is KARDIO, which was developed to construe ECGs ( Bratko et al. , 1989 ) . This attack can be extended to manage instances where there is no old experience in the reading and apprehension of medical informations. For illustration, in the work of Hau and Coiera ( Hau and Coiera, 1997 ) an intelligent system, which takes real-time patient informations obtained during cardiac beltway surgery and so creates theoretical accounts of normal and unnatural cardiac physiology, for sensing of alterations in a patient ‘s status is described. Additionally, in a research scene, these theoretical accounts can function as initial hypotheses that can drive farther experimentation. 2.1 Methodology In this subdivision we propose a new algorithm called REMED ( Rule Extraction for MEdical Diagnostic ) . The REMED algorithm includes three chief stairss: 1 ) attributes choice, 2 ) choice of initial dividers, and eventually 3 ) regulation building. 2.1.1 Attributes Choice For the first measure we consider that in medical pattern the aggregation of datasets is frequently expensive and clip consuming. Then, it is desirable to hold a classifier that is able to reliably name with a little sum of informations about the patients. In the first portion of REMED we use simple logistic arrested development to quantify the hazard of enduring the disease with regard to the addition or decrease of an 574attribute. We ever use high assurance degrees ( gt ; 99 % ) to choose properties that are truly important and to vouch the building of more precise regulations. Other of import facet to reference is that depending on the sort of association established ( positive or negative ) through the odds ratio metric, we build the sentence structure with which each property ‘s divider will look in the regulations system. This portion of the algorithm is shown in the top of figure 1. 2.1.2 Partitions Choice The 2nd portion of REMED comes from the fact that if an property ten has been statistically important in the anticipation of a disease, so its mean ten ( mean of the values of the property ) is a good campaigner as initial divider of the property. We sort the illustrations by the property ‘s value and from the initial divider of each property, we search the following positive illustration ( category = 1 ) in the way of the established association. Then, we calculate a new divider through the norm between the value of the found illustration and the value of its predecessor or replacement. This supplanting is carried out merely one time for each property. This can be seen in the in-between portion of figure 1. 2.1.3 Rules Construction In the last portion of the algorithm, we build a simple regulation system of the undermentioned manner: if ( ei,1 a†°? p1 ) and ( ei, J a†°Ã‚ ¤ pj ) and aˆÂ ¦ and ( ei, m a†°? autopsy ) so category = 1 else category = 0 where ei, J denotes the value of attribute J for illustration I, pj denotes the divider for attribute J and the relation a†°? or a†°Ã‚ ¤ depends on the association attribute-disease. With this regulation system we make a first categorization. We so seek to better the truth of our system by increasing or diminishing the value of each divider every bit much as possible. You read "Machine Learning In Medical Applications Health And Social Care Essay" in category "Essay examples" For this we apply the bisection method and cipher possible new dividers get downing with the current divider of each property and the upper limit or minimal value of the illustrations for this property. We build a temporal regulation system altering the current divider by each new divider and sort the illustrations once more. We merely see a new divider if it diminishes the figure of false positives ( FP ) but does non decrease the figure of true positives ( TP ) . This measure is repeated for each property until we overcome the established convergence degree for the bisection method or the current regulation system is non able to diminish the figure of FP ( healthy individuals diagnosed fal sely ) . This portion of the algorithm is exemplified at the underside of figure 1. We can appreciate that the end of REMED is to maximise the minority category truth at each measure, foremost choosing the properties that are strongly associated with the positive category. Then halting the hunt of the divider that better discriminates both categories in the first positive illustration, and eventually seeking to better the truth of the regulation system but without decreasing the figure of TP ( ill individuals diagnosed right ) . 3. Machine acquisition in complementary medical specialty 3.1 Kirlian consequence – a scientific tool for analyzing elusive energies The history of the so called Kirlian consequence, besides known as the Gas Discharge Visualization ( GDV ) technique ( a wider term that includes besides some other techniques is bioelectrography ) , goes back to 1777 when G.C. Lihtenberg in Germany recorded electrographs of skiding discharge in dust created by inactive electricity and electric flickers. Subsequently assorted researches contributed to the development of the technique ( Korotkov, 1998b ) : Nikola Tesla in the USA, J.J. Narkiewich-Jodko in Russia, Pratt and Schlemmer in Prague until the Russian technician Semyon D. Kirlian together with his married woman Valentina noticed that through the interaction of electric currents and exposure home bases, imprints of life beings developed on movie. In 1970 100s of partisans started to reproduce Kirlian exposure an the research was until 1995 limited to utilizing a photo-paper technique. In 1995 a new attack, based on CCD Video techniques, and computing machine processing of info rmation was developed by Korotkov ( 1998a ; B ) and his squad in St. Petersburg, Russia. Their instrument Crown-TV can be routinely used which opens practical possibilities to analyze the effects of GDV. The basic thought of GDV is to make an electromagnetic field utilizing a high electromotive force and high frequence generator. After a thershold electromotive force is exceeded the ionisation of gas around the studied object takes topographic point and as a side consequence the quanta of light { photons are emitted. So the discharge can be fixed optically by a exposure, exposure detector or TV-camera. Assorted parametric quantities inA °uence the ionisation procedure ( Korotkov, 1998b ) : gas belongingss ( gas type, force per unit area, gas content ) , electromotive force parametric quantities ( amplitude, frequence, impulse wave form ) , electrode parametric quantities ( constellation, distance, dust and wet, macro and micro defects, electromagnetic field constellation ) and studied object parametric quantities ( common electric resistance, physical Fieldss, skin voltaic response, etc. ) . So the Kirlian consequence is the consequence of mechanical, chemical, and electromagnetic procedures, and field interactions. Gas discharge acts as agencies of heightening and visual image of super-weak procedures. Due to the big figure of parametric quantities that inA °uence the Kirlian consequence it is really diA ±cult or impossible to command them all, so in the development of discharge there is ever an component of vagueness or stochastic. This is one of the grounds why the technique has non yet been widely accepted in pattern as consequences did non hold a high duplicability. All accounts of the Kirlian consequence apprehended A °uorescence as the emanation of a biological object. Due to the low duplicability, in academic circles there was a widely dispersed sentiment that all ascertained phenomena are nil else but A °uctuation of the crown discharge without any connexion to the studied object. With modern engineering, the duplicability became suA ±cent to enable serious scientific surveies. Besides analyzing inanimate objects, such as H2O and assorted liquids ( Korotkov, 1998b ) , minerals, the most widely studied are populating beings: workss ( foliage, seeds, etc. ( Korotkov and Kouznetsov, 1997 ; Korotkov, 1998b ) ) , animate beings ( Krashenuk et al. , 1998 ) , and of class worlds. For worlds, most widely recorded are aureoles of fingers ( Kraweck, 1994 ; Korotkov, 1998b ) , and GDV records of blood extracts ( Voeikov, 1998 ) . Principal among these are surveies of the psycho-physiological province and energy of a human, diagnosing ( Gurvits and Korotkov, 1998 ) , reactions to some medical specialties, reactions to assorted substances, nutrient ( Kraweck, 1994 ) , dental intervention ( Lee, 1998 ) , alternate healing intervention, such as stylostixis, ‘bioenergy ‘ , homoeopathy, assorted relaxation and massage techniques ( Korotkov, 1998b ) , GEM therapy, applied kineziology and A °ower kernel intervention ( Hein, 1999 ) , leech therapy, etc. , and eve n analyzing the GDV images after decease ( Korotkov, 1998a ) . There are many surveies presently traveling on all over the universe and there is no uncertainty that the human elusive energy field, as vizualized utilizing the GDV technique, is extremely correlated to the homo ‘s psycho-physiological province, and can be used for nosologies, omens, theraphy choice, and commanding the effects of the therapy. 4.Limitation M. Schurr, from the Section for Minimal Invasive Surgery of the Eberhard-Karls-University of Tuebingen, gave an invited talk on endoscopic techniques and the function of ML methods in this context. He referred to current restrictions of endoscopic techniques, which are related to the limitations of entree to the human organic structure, associated to endoscopy. In this respect, the proficient restrictions include: limitations of manual capablenesss to pull strings human variety meats through a little entree, restrictions in visualising tissues and limitations in acquiring diagnostic information about tissues. To relieve these jobs, international engineering developments concentrate on the creative activity of new use techniques affecting robotics and intelligent detector devices for more precise endoscopic intercessions. It is acknowledged that this new coevals of detector devices contributes to the development and spread of intelligent systems in medical specialty by supplying ML me thods with informations for farther processing. Current applications include suturing in cardiac surgery, and other clinical Fieldss. It was mentioned that peculiar focal point is put by several research groups on the development of new endoscopic visualizing and diagnostic tools. In this context, the potencies of new imaging rules, such as fluorescence imagination or optical maser scanning microscopy, and machine acquisition methods are really high. The clinical thought behind these developments is early sensing of malignant lesions in phases were local endoscopic therapy is possible. Technical developments in this field are really promising, nevertheless, clinical consequences are still pending and ongoing research will hold to clear up the existent potency of these engineerings for clinical usage. Moustakis and Charissis ‘ work ( Moustakis and Charissis, 1999 ) surveyed the function of ML in medical determination devising and provided an extended literature reappraisal on assorted ML applications in medical specialty that could be utile to practicians interested in using ML methods to better the efficiency and quality of medical determination doing systems. In this work the point of acquiring off from the truth measures as exclusive rating standards of larning algorithms was stressed. The issue of understandability, i.e. how good the medical expert can understand and therefore utilize the consequences from a system that applies ML methods, is really of import and should be carefully considered in the rating. 5.Improvement A ; Conclusion The workshop gave the chance to research workers working in the ML field to acquire an overview of current work of ML in medical applications and/or addition understanding and experience in this country. Furthermore, immature research workers had the chance to show their thoughts, and received feedback from other workers in the country. The participants acknowledged that the diffusion of ML methods in medical applications can be really effectual in bettering the efficiency and the quality of medical attention, but it still presents jobs that are related to both theory and applications. From a theoretic point of position, it is of import to heighten our apprehension of ML algorithms every bit good as to supply mathematical justifications for their belongingss, in order to reply cardinal inquiries and get utile penetration in the public presentation and behaviour of ML methods. On the other manus, some major issues which concern the procedure of larning cognition in pattern are the visual image of the erudite cognition, the demand for algorithms that will pull out apprehensible regulations from nervous webs, every bit good as algorithms for placing noise and outliers in the information. The participants besides mentioned some other jobs that arise in ML applications and should be addressed, like the control of over adjustment and the grading belongingss of the ML methods so that they can use to jobs with big datasets, and high-dimensional input ( characteristic ) and end product ( classes-categories ) infinites. A repeating subject in the recommendations made by the participants was the demand for understandability of the acquisition result, relevancy of regulations, standards for choosing the ML applications in the medical context, the integrating with the patient records and the description of the appropriate degree and function of intelligent systems in health care. These issues are really complex, as proficient, organisational and societal issues become intertwined. Previous research and experience suggests that the successful execution of information systems ( e.g. , ( Anderson, 1997 ; Pouloudi, 1999 ) ) , and determination support systems in peculiar ( e.g. , ( Lane et al. , 1996 ; Ridderikhoff and new wave Herk, 1999 ) ) , in the country of health care relies on the successful integrating of the engineering with the organisational and societal context within which it is applied. Medical information is critical for the diagnosing and intervention of patients and therefore the ethical issues presented during its life rhythm are critical. Understanding these issues becomes imperative as such engineerings become permeant. Some of these issues are system-centered, i.e. , related to the built-in jobs of the ML research. However, it is worlds, non systems, who can move as moral agents. This means that it is worlds that can place and cover with ethical issues. Therefore, it is of import to analyze the emerging challenges and ethical issues from a human-centred position by sing the motives and ethical quandary of research workers, developers and medical users of ML methods in medical applications. How to cite Machine Learning In Medical Applications Health And Social Care Essay, Essay examples