Tuesday, August 6, 2019

Women of Race in the Late 19th Century Essay Example for Free

Women of Race in the Late 19th Century Essay During the American Civil War all the free white men of the southern confederacy had left their homes to fight the war. While the white male southerners were out fighting battles they left their family and homes with their slaves. During that time period there were no incidents of rape rather the slaves provided protection for their families. When the war ended all the slaves were free and became citizens of the United States. The white southerners did not take to this lightly. To maintain white supremacy in the south white southerners would make false accusations against Afro-Americans of rape, murder, burglary, etc. With the extra-legal laws still intact, by public opinion an enraged mob would lynch Afro-American that have been accused of a crime. This law was only exercised towards the Afro-American population of the south during the late 19th century, mainly towards Afro-Americans men, to maintain white supremacy in the south. The gender norms of the south were that white women married white men. There was a law that prohibited interracial marriage. The law even prohibited intimate interracial relations. Gender ideology of the time was still Victorian, women would stay at home and men would provide for their families. The role of the women was to take care of home and be the moral compass for the family. The man was supposed to work to provide income for his family and home. Sometimes the man of the house would lose sight of his virtues and would rely on his wife to guide him. The core virtues were religious and mainly Christian. There is a reason why the woman is supposed to be the moral compass for her family. Southern women of the late 19th century were to be pious and pure. Seeking for an intellectual life and a career was frowned upon heavily. Men of the late 19th century were not expected to be pure because of their nature but they were encouraged to seek a pious life. Men were seen as impulsive creatures that would make mistakes in his life and would learn from them. Women on the other hand were expected to pure because o f their nature. Women were seen as gentle caring beings. White women of the south during the late 19th century, like I wrote before, are to be pious and pure. This gender norm was highly ritualized among white southerners during the time period. The miscegenation law made it so that Afro-American men would not have intimate relations with a white woman. Afro-Americans were seen as impure and vile. They were seen as lesser race in the eyes of white southerners during the late 19th century. Much of the ways that Afro-Americans were treated while enslavement were not gone. White southerners still treated them with a dehumanizing respect. When a white woman and Afro-American man had a relationship beyond friendship, the white southern citizens would be enraged and form mobs. These mobs would lynch the suspected â€Å"rapist†. In almost all the alleged cases of rape the Afro-American man did receive the consent of the white woman. There was a case in Elyria, Ohio of a white woman married to a minister who accused an Afro-American man of rape. â€Å"She told her husband that during his absence in 1888 the man forced his way in the house and insulted her. She did not know the man but she pointed out William Offett, a married man, who was arrested and, being in Ohio, was granted a trial. He prisoner vehemently denied the charge of rape. He was found guilty. The womans remorse led her to confess to her husband that the man was innocent† (Wells, Southern Horrors, pg6). This proves the accusations of rape were commonly mistaken because the woman was not willing to admit her intimacy with an Afro-American man. That did not change anything, if an Afro-American man had intimate relations with a white woman it did not matter, the Afro-American man was going to be hurt if any white southerner were to find out. There are many situations like these but in some the white lady would admit her intimacy. That would not stop an enraged mob to lynch. The ideology of pure was used to subsidize the degradation of Afro-Americans and to fuel the fire of white supremacists of the late 19th century. There is no doubt that white southern women were attracted to the Afro-American but the southern presses were deeming Afro-Americans as rapists and desperados. Southern media had a huge impact on what the rest of the country perceived Afro-Americans. In Memphis the â€Å"Daily Commercial† and the â€Å"Evening Scimitar† newspapers would claim that that Afro-Americans would prey on a white southerners family at night waiting for an opportunity (Wells, Southern Horrors, pg13). Memphis media would use this propaganda to justify the lynching of Afro-Americans even though there was no outcry of rape by the white women in the Memphis area. Rape was one the most common conviction against Afro-American men. The Memphis newspapers are claiming Afro-Americans are preying on innocent white women and therefore Afro-Americans deserve to be lynched. There are also cases of Afro-American girls being mistreated by white men and these white men do not receive nearly as harsh punishment as the Afro-American man does. These are situations where the white male is completely guilty with evidence to back it. Where as with Afro-American men they are accused of rape without any evidence to back the claim and are still convicted. â€Å"In Nashville, Tenn., there is a white man, Pat Hanifan, who outraged a little Afro-American girl, and, from the physical injuries received, she has been ruined for life. He was jailed for six months, discharged, and is now a detective in that cit y†(Wells, Southern Horror, pg10). There is an obvious trend, white southern men were doing what they want and southern Afro-American men were suffering from social inequality. In the year 1892 there were alleged 28 Afro-Americans that were lynched in Tennessee alone. In the same year there were a total of 241 Afro-Americans lynched in America but mainly in the southern states. White supremacy saw the Afro-Americans as an economic threat and a threat against white women. The threat against white women was not in any physical way rather it was a threat against their purity. It was obvious that white southern women were attracted to southern Afro-American men and vice versa. It was the ideology of pure that white supremacists used against Afro-American men because they believed that Afro-American men were impure and the white woman was pure. They used extra-legal laws for selfish use. White supremacists were afraid of losing power over Afro-Americans and they were willing to do anything to maintain their power that they once had.

Monday, August 5, 2019

Data Analysis Chapter Example

Data Analysis Chapter Example This chapter will focus on the results of the data analysis. The first section will discuss the descriptive statistics and in the second section the results of the Heckman two-step approach will be discussed. Descriptive statistics The descriptive statistics of the survey data will be discussed by comparing and characterizing the households that affected and do not affected by the climate change. The sample size used for the analysis is therefore 420 respondents. An uneven distribution of land ownership exists in coastal region of Bangladesh, with a significant proportion of land being owned by large landowners (Alauddin and Hamid 1997). Agricultural survey (1996 ) shows that 54% of families in coastal areas hold only 17% of the total agricultural land (PDO-ICZMP-2003). The majority of the rural population is either landless farmers (who sell their labor or cultivate others land)or marginal farmers (who have less than .2 ha of property) (Opstal 2006). Over the past decade the farmers are declined. Now a day in the coastal Bangladesh fishing is one of the most important economic activities. They are mostly landless or have a small plot of land to use for living purpose. In the study area total land size is changed due to climate change. It appears from the given table which shows the comparative analysis of land pattern before and after Aila. In 2008 the average amount is 157.02 hectare/year and in 2009 it is 99.89 hectare/year. Land is used for different purposes. In 2008, 159 respondents used their land for cultivation i.e they are the agricultural land owner and due to climate change only 75 respondents are the owner of the agricultural land. This amount is decreasing. In last 5 years 62 households lost their land in the study area. The total amount of damaged land is 36911.58 hectares. Most of the people depend on agriculture so this is a great loss for their survive. For this their income is decreased, expenditure is decreased and they have no enough money to buy the agricultural land. From this it is concluded that they live below poverty line. According to a recent (Oct09) study done by the South Asia Association of Poverty Eradication, each affected household has seen their income decrease by approximately 44% as a result of Cyclone Aila. The main independent variable is expenditures by household for a basket of basic needs, which is considered as a measurement of poverty. This expenditure measurement actually represents a poverty threshold value, which is derived from HIES (Household Income-Expenditure Survey 2009) by BBS and is equivalent to US$ 208/capita/year (BBS, 2008). It is referred as Basic Need Cost in the model. In 2009 we get only 84 respondents out of 420 do not live below poverty line. It is estimated by using our expenditure data from primary survey analysis. So due to climate change most of the households live below poverty line. Econometric Analysis Now we would like to continue with figuring out the nature and extent of relationship between agricultural land ownership pattern and poverty of Koyra. Hence, in this chapter we conduct econometric analysis. Variables used in econometric models With a view to identifying the relationship pattern between agricultural land ownership pattern and poverty we ran a number of econometric models. But before we proceed to the operation with econometric models, let us have a look at the variables used in the model. Dependent variable The dependent variable is total land owned by, which is considered to be affected by climate change. This variable indicates how much land was owned by the household in 2009. The values were taken in hectares for the entire household. Independent variables Below we have mentioned the independent variables, with short explanation, that we used in models. Variable household size refers to the total number of members in a household. Education refers to households average aggregate academic schooling year. It is the number obtained by summing up of formal schooling years of all members in a household and then dividing it with the number of total household members. This variable is considered as a proxy for capacity of households. The variable Duration with community refers to the number of years the respondent household living with the current community. Along with the above-mentioned dependent and independent variables, we used the following two independent variables for constructing correlation and regression. Econometric Methodology: We used a Heckman Two Step Model for dependent variable land ownership in order to find out if there is any sample selection bias in the model. This model consists of two processes that are addressed by two different equations: a selection equation and a conditional equation. The first probit equation is a selection process for the households having land-ownership or not. In the second equation the effects of independent variables on land ownership are examined. These processes are related to each other through their error terms which contain the unobservable. If there is no correlation between the error terms of the two equations, there is no need to perform a Heckman two step approach as there is no sample selection bias and an OLS regression provides the unbiased result (Dow and Norton, 2003). The Heckman two-step approach is based on the assumption that the selection equation and the conditional equation are related to each other through their error terms. When there is no relation between the error terms there is no need to perform a Heckman two step approach as there is no sample selection bias and an OLS regression will give unbiased estimators. For such a model, the bottom line in STATA output gives a value for Ï  (rho) with associated p-value. This Ï  is a likelihood ratio indicating the correlation between the error terms of the equations in Heckman model. The correlation between the error terms is indicated in table (Annex) by the selectivity parameter, Ï . The Heckmans lambda is included in the regression to control for the influence of unobserved characteristics of the variables. The regression coefficient of the control factor is an indicator for the covariance of the error terms. In the model the control factor is non-significant. The missing data problem can arise in a variety of forms. We can see that there are missing data in the sample. The number of missing data in is 3, but the problem is more severe for, where the number of missing data is 80. Since the data is missing mainly on the dependent variable, a nonrandom sample selection exists in this case. There is a possibility that due to some common pattern, the respondents did not provide any data. If that has happened, bias could always occur in OLS in estimating the population model. As a result, we use here the Heckman model. Our model is Empirical results This chapter will focus on the results of the data analysis. The first section will discuss the descriptive statistics and in the second section the results of the Heckman two-step approach will be discussed. Descriptive statistics The descriptive statistics of the survey data will be discussed by comparing and characterizing the households that affected and do not affected by the climate change. The sample size used for the analysis is therefore 420 respondents. An uneven distribution of land ownership exists in coastal region of Bangladesh, with a significant proportion of land being owned by large landowners (Alauddin and Hamid 1997). Agricultural survey (1996 ) shows that 54% of families in coastal areas hold only 17% of the total agricultural land (PDO-ICZMP-2003). The majority of the rural population is either landless farmers (who sell their labor or cultivate others land)or marginal farmers (who have less than .2 ha of property) (Opstal 2006). Over the past decade the farmers are declined. Now a day in the coastal Bangladesh fishing is one of the most important economic activities. They are mostly landless or have a small plot of land to use for living purpose. In the study area total land size is changed due to climate change. It appears from the given table which shows the comparative analysis of land pattern before and after Aila. In 2008 the average amount is 157.02 hectare/year and in 2009 it is 99.89 hectare/year. Land is used for different purposes. In 2008, 159 respondents used their land for cultivation i.e they are the agricultural land owner and due to climate change only 75 respondents are the owner of the agricultural land. This amount is decreasing. In last 5 years 62 households lost their land in the study area. The total amount of damaged land is 36911.58 hectares. Most of the people depend on agriculture so this is a great loss for their survive. For this their income is decreased, expenditure is decreased and they have no enough money to buy the agricultural land. From this it is concluded that they live below poverty line. According to a recent (Oct09) study done by the South Asia Association of Poverty Eradication, each affected household has seen their income decrease by approximately 44% as a result of Cyclone Aila. The main independent variable is expenditures by household for a basket of basic needs, which is considered as a measurement of poverty. This expenditure measurement actually represents a poverty threshold value, which is derived from HIES (Household Income-Expenditure Survey 2009) by BBS and is equivalent to US$ 208/capita/year (BBS, 2008). It is referred as Basic Need Cost in the model. In 2009 we get only 84 respondents out of 420 do not live below poverty line. It is estimated by using our expenditure data from primary survey analysis. So due to climate change most of the households live below poverty line. Econometric Analysis Now we would like to continue with figuring out the nature and extent of relationship between agricultural land ownership pattern and poverty of Koyra. Hence, in this chapter we conduct econometric analysis. Variables used in econometric models With a view to identifying the relationship pattern between agricultural land ownership pattern and poverty we ran a number of econometric models. But before we proceed to the operation with econometric models, let us have a look at the variables used in the model. Dependent variable The dependent variable is total land owned by, which is considered to be affected by climate change. This variable indicates how much land was owned by the household in 2009. The values were taken in hectares for the entire household. Independent variables Below we have mentioned the independent variables, with short explanation, that we used in models. Variable household size refers to the total number of members in a household. Education refers to households average aggregate academic schooling year. It is the number obtained by summing up of formal schooling years of all members in a household and then dividing it with the number of total household members. This variable is considered as a proxy for capacity of households. The variable Duration with community refers to the number of years the respondent household living with the current community. Along with the above-mentioned dependent and independent variables, we used the following two independent variables for constructing correlation and regression. Econometric Methodology: We used a Heckman Two Step Model for dependent variable land ownership in order to find out if there is any sample selection bias in the model. This model consists of two processes that are addressed by two different equations: a selection equation and a conditional equation. The first probit equation is a selection process for the households having land-ownership or not. In the second equation the effects of independent variables on land ownership are examined. These processes are related to each other through their error terms which contain the unobservable. If there is no correlation between the error terms of the two equations, there is no need to perform a Heckman two step approach as there is no sample selection bias and an OLS regression provides the unbiased result (Dow and Norton, 2003). The Heckman two-step approach is based on the assumption that the selection equation and the conditional equation are related to each other through their error terms. When there is no relation between the error terms there is no need to perform a Heckman two step approach as there is no sample selection bias and an OLS regression will give unbiased estimators. For such a model, the bottom line in STATA output gives a value for Ï  (rho) with associated p-value. This Ï  is a likelihood ratio indicating the correlation between the error terms of the equations in Heckman model. The correlation between the error terms is indicated in table (Annex) by the selectivity parameter, Ï . The Heckmans lambda is included in the regression to control for the influence of unobserved characteristics of the variables. The regression coefficient of the control factor is an indicator for the covariance of the error terms. In the model the control factor is non-significant. The missing data problem can arise in a variety of forms. We can see that there are missing data in the sample. The number of missing data in is 3, but the problem is more severe for , where the number of missing data is 80. Since the data is missing mainly on the dependent variable, a nonrandom sample selection exists in this case. There is a possibility that due to some common pattern, the respondents did not provide any data. If that has happened, bias could always occur in OLS in estimating the population model. As a result, we use here the Heckman model. Our model is We assumed that is observed if Where and have correlation Results: The results of our Heckman model are provided in Table (Annex). Using as a dependent variable in Heckman regression, we find and the constant term are significant while is insignificant. We also find positive relationship for and with . Considering the absolute values of the coefficients (table), the result shows that is the most influential between the two variables. A typical use of a logarithmic transformation variable is to pull outlying data from a positively skewed distribution closer to the bulk of the data in a quest to have the variable be normally distributed. In regression analysis the logs of variables are routinely taken, not necessarily for achieving a normal distribution of the predictors and/or the dependent variable but for interpretability. The standard interpretation of coefficients in a regression analysis is that a one unit change in the independent variable results in the respective regression coefficient change in the expected value of the dependent variable while all the predictors are held constant. Interpreting a log transformed variable can be done in such a manner; however, such coefficients are routinely interpreted in terms of percent change (Introductory Econometrics: A Modern Approach by Woolridge for discussion and derivation). Well explore the relationship between the landownership pattern and the per capita consumption expenditure. In this model we are going to have the dependent variable in its original metric and the independent variable log-transformed. Similar to the prior example the interpretation has a nice format, a one percent increase in the independent variable increases (or decreases) the dependent variable by (coefficient/100) units. In this particular model we take log with PCE and the coefficients on and represent the estimated marginal effects of the regressors in the underlying regression equation. So, an increase in the household size by one member increases land ownership by 6.30 hectares and an increase in the household consumption expenditure by one percent increases land ownership by 0.613 hectares. On the other hand, household size is the least influential variable. It is positively related with landownership pattern. So these two variables have greater influence on poverty. We used the Heckman two step models while taking land ownership as a dependent variable in the conditional equation of this model, along with other independent variables, result in model shows that PCE is positively related with landownership. The p value of lambda is 0.193 i.e. 19%. So this is not significant for the model i. e. there is no correlation between the error terms of the two equations in Heckman model. The lambda term is positively signed which suggests that the error terms in the selection and primary equations are positively correlated. So (unobserved) factors that make more observable tend to be associated with higher values of our independent variables in the selection equation. However, since the lambda term is not significant, we cannot come to any such conclusion and hence we conducted OLS. But if we use the OLS we get the following Table 1: OLS Result lnd_owners~p | Coef. Std. Err. t P>|t| [95% Conf. Interval] -+- lnpce | 58.21023 18.98437 3.07 0.002 20.86622 95.55423 hh_size | 4.660069 6.495749 0.72 0.474 -8.117666 17.4378 _cons | -204.742 97.52465 -2.10 0.037 -396.5819 -12.90203 We present the usual OLS regression in Table 1. As we can see from Table 1, and is both positive, while the former is not significant and the latter is significant. Similarly, the constant term is negative but significant. Table 2 From the above OLS table we consider the independent variables are per capita expenditure, education level, during with the community, household size and asset 2008 and the dependent variable is land ownership pattern of the respondents. In this analysis the model is significant in case of asset 2008 for dependent variable land ownership because in this case the value of P is 0%. We know if the value of P is less than 5% then the model is significant. From the regression we get per capita expenditure, education level, during with the community and asset 2008 is positive. But without asset 2008 all other variables are not significant. Similarly the constant term is also positive but not significant. Results from various OLS regression models are shown in Table 1 and.2. The former shows results when model is run with and while the latter shows results when land ownership is incorporated with other independent variables. Values of coefficient are different for the independent variables in the result tables. Using land ownership (i.e. our measure of poverty) as a dependent variable in OLS regression, we found without one, all the explanatory variables are not significant (Table 2). We also found significant positive relationship per capita expenditure, education level, during with the community and asset 2008 with land ownership whereas it is significantly negative for household size. Annex . heckman lnd_ownership lnpce hh_size, twostep select(lnpce edulevel duringwithcomty hh_size asst2008) rhosigma Heckman selection model two-step estimates Number of obs = 417 (regression model with sample selection) Censored obs = 80 Uncensored obs = 337 Wald chi2(4) = 9.83 Prob > chi2 = 0.0434 | Coef. Std. Err. z P>|z| [95% Conf. Interval] -+- lnd_owners~p | lnpce | 61.28878 20.67387 2.96 0.003 20.76873 101.8088 hh_size | 6.303549 7.203314 0.88 0.382 -7.814687 20.42179 _cons | -286.9731 123.3481 -2.33 0.020 -528.731 -45.21517 -+- select | lnpce | .0682579 .1348031 0.51 0.613 -.1959514 .3324671 edulevel | .0096151 .025462 0.38 0.706 -.0402896 .0595197 duringwith~y | .0161874 .005286 3.06 0.002 .005827 .0265477 hh_size | .007615 .046654 0.16 0.870 -.0838252 .0990552 asst2008 | -1.13e-06 7.34e-07 -1.53 0.125 -2.57e-06 3.12e-07 _cons | -.0686488 .6543009 -0.10 0.916 -1.351055 1.213757 -+- mills | lambda | 181.4302 139.4798 1.30 0.193 -91.94525 454.8057 -+- rho | 0.74328 sigma | 244.09453 lambda | 181.43021 139.4798

Sunday, August 4, 2019

Holistic Therapy :: essays research papers fc

How does Buddhism differ from Christianity? 1. There Is No God Void vs. Loving God (emptiness, apathy, ignorance) In Buddhist thought, there is no supreme being, no Creator, no omnipotent omnipresent God, no Loving Lord over his creation. Ultimate Reality is an impersonal Void or Emptiness (Sunyata). Only the Void is Permanent. To a Buddhist, saying that God exists is like saying that the Void exists. Saying that God is loving and desires relationship with us is saying God is Ignorance since all desire comes from ignorance. Saying that God created us and has a purpose for our lives is saying that God is Karma, the cause and effect of our existence. Thus, in Buddhist thought, the concept of God is closest equated to the Void, Ignorance, and Karma. So who are Buddhists bowing down and praying to in their temples? Remember that Buddhism has adapted and absorbed many other beliefs rooted in animism and ancestral worship. 2. Christ’s Deity Denied If a Buddhist were asked who Jesus was, responses would likely include: a good man, a prophet, the founder of the Christian religion, a bodhisattva, the younger brother of Buddha. As it is hard for a Buddhist to understand the existence of God, it is inconceivable that Jesus is the incarnate Lord, God in the flesh. 3. Man Is Not A Spiritual Being Mankind has no soul or permanence. In Buddhist thought, an individual consists of five skandhas or aggregates. These aggregates are disassembled at death and there is no longer a cohesive unit that can be identified as an individual person. People are impermanent and transitory, perpetually facing the problem of how to escape from suffering. All life is meaningless and without purpose. The ultimate hope lies in what is permanent: The Void. Before one can find permanence, one must disappear into the Void, that is, achieve nirvana. 4. Karma Is The Iron Law Karma vs. Mercy Buddhists believe that the totality of one’s actions and the results of those actions determine one’s fate in subsequent reincarnations. This is the cosmic Law of Cause and Effect. Karma is the ultimate impersonal, unmerciful judge. Karma is unchangeable, cannot be undone, altered, avoided, or forgiven. What is done is done and cannot be undone, nor can you be forgiven or released from it. 5. Sin Has No Consequences The two systems` concepts of sin stand in stark contrast. To Buddhists sin does not have any consequences before a holy God.

Saturday, August 3, 2019

Is Abortion Ever Justfied? Essays -- essays research papers

Is abortion ever justified? If not, why? If it depends, then on what? It is not unreasonable to suggest that the vast majority of people consider it morally wrong to kill other persons. There may be examples of situations where the killing of a person may be justifiable, although they are by no means universally consented to, such as killing in self defence or as a form of capital punishment, but taken in isolation it is generally accepted that to kill is wrong. Therefore in the debate between pro and anti abortionists must centre around two essential questions: whether a foetus is a person, and if so when a foetus becomes a person; and whether abortion can be said to be self defence. Possibly the deepest dilemma for an anti abortionist concerns the stage at which a foetus can be said to be alive, in the sense in which we would refer to a child after it is born. It seems absurd to think that in the relatively short time which the birth takes, the baby’s status will be so radically altered yet an almost mystical store is set by birth as for the first time we can distinguish a distinct personality, and directly interact with the infant . However, it is a largely unfounded significance in ethical terms as birth is often governed by contingent factors and the time of birth can be manipulated. Also to be considered is the fact that if the baby is ready to emerge from the womb, then surely it possesses enough properties for us to consider it in some sense a person. For example, if not than an eight month old foetus would not have the same claim to personhood as a two-month-old baby born prematurely at six months even though they are of similar developmental stage s. Thus other stages of pregnancy are more commonly cited as the point in which personhood begins. John Grigg adopts the stance that there is a life that comes into existence as soon as conception occurs: â€Å"To my mind life begins at the moment of conception†¦ Conception is the magic moment.† (John Grigg, in the Guardian, 29 October 1973) This view may be problematic if we consider that life does not necessarily imply personhood. We may claim that the foetus is a human being but this merely implies that it is a member of our species, and not that of another. Yet it is at least true to say that a foetus, even in the earliest stages of pregnancy has the potential to be a person. This is slightly differe... ...elf defence, even though the foetus has no intention to harm the woman, it is a sad situation in which both parties might be thought of as morally blameless. However, can any abortion said to be self-defence? The reaction to an intrusion in the home may be said to be defence, yet a house is worth far less than your own body. The title question of this essay and the questions raised within it remain unconcluded. The problem is not that there are no answers, rather there are too many. The issue is complicated further by the fact that every single situation is different. Abortion is a very personal issue that effects many people in the world, the average Russian woman has twelve abortions in her life, it is also an especially emotional subject. Abortion is justified everyday, however whether it is a practice that can be morally justified with any universal consent is another issue. The only way I can see that abortion might receive the most moral acceptance, is that if it is presented on the grounds that we must all step back and respect that other moral agents have a right to make autonomous decisions, regardless of what we think about the way they choose to assert their autonomy.

Friday, August 2, 2019

An Era of Inhumanity :: American America History

An Era of Inhumanity Writers differ in the purpose for which they write. Some aim to entertain, but the more serious and skilled writers usually have the goal of expressing a serious idea. Writers such as Hariet Beecher Stowe and Alex Haley are writers who write for more than mere entertainment. Uncle Tom's Cabin, written by Harriet Beecher Stowe, had a political purpose. Stowe intended to help America realize the inhumanity of slavery and the pain it brought upon African-Americans by writing a melodramatic novel. She despised the South for practicing slavery and the North as well for their prejudice against blacks. Roots was written by Alex Haley in search of his origin. His hunger for knowledge of who he was and who his ancestors were inspired him to carry out numerous years of research and countless interviews in order to finish his book. Although Alex Haley wrote Roots in search of his origin and Harriet Beecher Stowe wrote Uncle Tom's Cabin for a political purpose, both authors lead readers to sympa thize with the predicaments of African-Americans by putting a human face, as well as a racial one on the tragedy of slavery, thus involving all readers in the inhumanity of the institution. In Uncle Tom's Cabin we are cordially introduced to Uncle Tom. He is a "large, broad-chested, powerfully-made man, of a full glossy black, and a face whose truly African feature [are] characterized by and expression of grave and steady good sense, united with much kindliness and benevolence"(Stowe 24). By her description of Tom, Stowe contradicts the common stereotype that blacks are savages and inhumane by giving Uncle Tom the characteristics of an ideal, honest man. He is described as being "kind" and "benevolent" as well as having an "expression of good sense". Stowe also portrays Uncle Tom as a perfect being. It seems as if his personality is without a flaw and seems too good to be true. By giving Uncle Tom this flawless characteristic, Stowe is able to show that he too is human although his difference in skin color. As one is introduced to the setting of Uncle Tom's cabin, one feels at home and very relaxed. Aunt Chloe's cooking of various tasty dishes adds to the serene environ ment of the cabin and as we see Uncle Tom learning how to read and write from his young "Mas'r George," it seems as though there are no worries, hardships are unknown, and an utopia exists within the walls of the cabin.

Database Management System and Data

Chapter 11: ReviewQuestion: 1. Explain the main differences between a file processing system and a database system ANS: Some main differences between a database management system and a file processing system are:Both systems contain a collection of data and a set of programs which access that data. A DBMS coordinates both the physical and the logical access to the data, whereas a file-processing system coordinates only the physical access. A DBMS reduces the amount of data duplication by ensuring that a physical piece of data is available to all programs authorized to have access to it, whereas data written by one program in a file-processing system may not be readable by another program.A DBMS is designed to allow flexible access to data (i. e. , queries), whereas a file-processing system is designed to allow pre-determined access to data (i. e. , compiled programs).A DBMS is designed to coordinate multiple users accessing the same data at the same time.A file-processing system is u sually designed to allow one or more programs to access different data files at the same time. In a file-processing system, a file can be accessed by two programs concurrently only if both programs have read-only access to the file.Discussion Topic:2. Suggest three typical business situations where referential integrity avoids data problems. ANS:In an inventory order system, you don't want an order to be deleted if there are inventory order items, or those items will be orphaned. If you are assigning customers to a salesperson, referential integrity would make sure that a customer wasn't assigned to a salesperson that doesn't exist.Payments in an accounting system should only be applied to an account, and if that account number changes, you want entries on that account to be updated as well.Project: 1. Search the Internet to find information about data storage formats. Also do the research on international date formats. Determine whether the date formats used in the United States is the most common format. ANS: According to my research on the Programmers website, I think that we have many different ways to store a program data: plain text which the application has small size of simply structured data, and data are not modified concurrently by multiple users. XML is small size of structured data that are not modified concurrently or frequently. Database which is large structured data or concurrent access is needed. Need for querying and search is a must in the application. Binary data use for streaming objects. Zipping is compression that may be added as another process for any of the above except databases on servers. The international format defined by ISO (ISO 8601) tries to address all these problems by defining a numerical date system as follows: YYYY-MM-DD where * YYYY is the year [all the digits, i. e. 2012] * MM is the month [01 (January) to 12 (December)] * DD is the day [01 to 31] For example, â€Å"3rd of April 2002†, in this international format is written: 2002-04-03 In the United States, dates are traditionally written in the â€Å"month day, year† order. This is the most common format because it used in both traditional numeric date. This date format was commonly used alongside the small endian form in the United Kingdom until the early 20th Century and can be found in both defunct and modern print media such as the London Gazette and The Times, respectively.

Thursday, August 1, 2019

Sensory Loss Essay

Outcome1. Understand the factors that impact on an individual with sensory loss 1.1 Analyse how a range of factors can impact on individuals with sensory loss. A range of factors can impact on individuals with sensory loss. We gather so much information from our sight and hearing. Reading, writing, talking and listening are all things we do in everyday life, we rely on our senses to process and understand what is going on in the world around us. We use these senses to carry out everyday living skills so to those with sensory loss this can have a massive impact. Sensory loss can frequently lead to isolation and frustration and not being able to communicate effectively with other people. If an individual suffered from hearing loss day-to-day activities such as watching the television, answering a telephone or hearing the doorbell can become very daunting and difficult tasks. This could lead to the individual feeling inadequate and isolated from other people. Being blind or partially sighted means losing the ability to see facial expressions and gestures making it difficult for the person to understand what is being communicated. Not being able to read information can put the individual at risk, for example the information on medication packets, if this can’t be seen clearly or not at all it could lead to the individual under dosing, overdosing or taking the wrong medication which could lead to other health problems. Everyday tasks other people take for granted can become increasingly difficult for a person, the reading of labels on food packets where oven temperatures and times are written, the setting of the oven or microwave are examples of how hard things can become, not being able to read letters or bank statements and having to get others to do this can have an effect on maintaining confidentiality and independence. Even something as simple as going to your wardrobe and choosing an outfit for the day would become difficult for a person who is visually impaired. Mobility is another factor that would be impacted by sensory loss especially in unfamiliar surroundings the individual could become disor iented and be at risk of not seeing potential hazards for example traffic. The individual would need to rely on others to carry out  simple tasks such as going to the shop to buy milk. 1.2 Analyse how societal attitudes and beliefs impact on individuals with sensory loss. The attitudes and beliefs of society of individuals with sensory loss can impact them in a negative way, people often believe that someone who suffers a sensory loss also has lack of understanding. Some people will automatically raise their voice to an individual who suffers a visual loss. People with any kind of sensory loss can have difficulties in finding employment. Even though the Equality Act and the Disability Discrimination Act mean that employers cannot discriminate, it is hard to convince an employer that a sensory loss does not necessarily mean that someone is unable to do a job. There are many things that people do without thinking of the impact they may have on people with sensory loss for example parking at a dipped curb or parking on the pavements and not leaving room to pass especially for someone who is visually impaired and this is their usual route and they are not used to obstacles being in the way. However not all is negative, society is better than it used to be. Bus companies accommodate for people with sensory loss for example guide dogs are allowed on buses and the stop button has brail this makes it much easier for people with impaired vision to go out into the community and live an independent life. There are also more building such as cinemas, theatres and conference facilities that have loop systems so that people who have hearing aids can listen to what is being said or preformed. Some television programmes have access to subtitles and some even have signers in the bottoms corners. You can also get access to audio description which will describe in detail exactly what is happening on the screen. There are many more services that provide support to people with sensory loss, there is more training provided for carers and support worker so we can support these individuals better and help to improve their quality of life. 1.3 Explore how a range of factors, societal attitudes and beliefs impact on the service provision. Society’s attitudes and beliefs impact on the service provision as people believe that everyone has rights and should be treated with respect and as an individual. The provision provides the individuals with the support they need to ensure they have a better quality of life. The social model of disability supports the idea of person-centred services. For people with sensory loss, this means that services are planned in a way that gives people control over the services they need to support  them. Discrimination is one of the biggest problems in today’s society, people with sensory loss are treated differently, and there a lot of barriers that need to be overcome. The service provision work together to help overcome these barriers. The is also the issues of money and ensuring they can provide the service individuals need within a budget. This can impact on the service as some individuals may not get the support they need or they could be waiting a long time before it is available to them. Outcome2. Understand the importance of effective communication for individuals with sensory loss. 2.1 explain the methods of communication used by individuals with sight loss, hearing loss and deaf blindness. There are many ways in which a person with sight loss can communicate verbal methods such as talking face to face or over the phone may be used. Auditory methods such as listening and responding to taped information could also be used depending on what the individual prefers. Non-verbal can include things like touch, gesture and tactile methods including brail. Depending on the severity of the sight loss other methods such as low vision aids could also enable the individual to communicate with others. People with hearing loss may use a variety of different methods in order to communicate with others. Non-verbal methods include using eye-contact, facial expressions, touch, gesture, signs or sign language. Written communication methods such as letters, pictures, texts or email. Many people with hearing loss will learning to lip read to enable them to respond with others. People who are deaf blind communicate using their remaining sight and hearing. They can also use touch with objects, known as tactile communication or by using touch with people this is called tactual communication. Depending on the individual’s preference, education and background will determine the best method of communication; some may prefer to use different noises in order to distinguish what they want other may use pictures or brail. 2.2 Describe how the environment facilitates effective communication for  people with sensory loss. By using different colours it is possible to help people with sensory loss differentiate between surfaces. It can also be used to highlight key and safety features for example areas of danger would be in red. An effect colour contrasted environment will reduce the risk of injury. This enables people with sensory loss to go out by themselves. Making things bigger and easier to see such as sign posts helps people with sensory loss to find their ways around. Places of interest such as cinemas, museums and theatres facilitates for sensory loss by providing loop systems and audio description. Out in the community you will see that many curbs a dipped which not only provides access for wheelchair use but it indicates the end of the pavement. One key beneficial aspect for someone with hearing loss would be to reduce the background noise level, however this can be difficult out in the community or in a group setting, but it is important to be aware of noise level and if possible move to a quieter area for important discussions. People are also an important part of the environment so if possible we as support works should remind others to think about the communication needs of people with sensory loss. 2.3 Explain how effective communication may have a positive impact on lives of individuals with sensory loss. Effective communication for individuals with sensory loss can help them to cope with their sensory loss and maintaining social contact can help to build their confidence and self-esteem which will vastly contribute to a better quality of life. It can help them to build relationships and maintain independence out in the community. Being able to effectively communicate with other can give them the ability of choice and make decisions in their own life and let others know how they would like to be cared for or supported. Outcome3. Understand the main causes and conditions of sensory loss. 3.1 Identify the main causes of sensory loss. Age is one of the main causes of sensory loss, as we age our hearing and sight deteriorates. Most people begin to lose a small amount of their hearing when they are 30 to 40 years old. This hearing loss increases as you get older. By the age of 80 most people will have significant hearing problems. Another common cause of hearing loss is damage to the ear due to repeated exposure to loud noises over time. This is known as noise-induced hearing loss and it occurs when the sensitive hair cells inside the cochlea become damaged. Some people may be born deaf or become deaf over time due to a genetic abnormality. People can also suffer hearing loss as a result of a viral infection or disease they have suffered. There are many potential causes of deafblindness. It can either be present at birth or develop later in life. Deafblindness is often caused from genetic conditions such as Down’s syndrome. Other causes can be excessive alcohol or drug induces by the pregnant mother or viral infection such as rubella during pregnancy. Deafblindness can also be the result of age, illness or injury. Most people with acquired deafblindness have been able to see or hear for most of their lives. Most causes of visual impairment are conditions that develop as you get older. About 8 in every 10 people with visual impairment are over 65. However, losing your vision is not an inevitable part of ageing. It is often the result of a condition that can either be treated or sometimes even prevented. Examples of these conditions are cataracts, glaucoma and diabetic retinopathy. 3.2 Define congenital sensory loss and acquired sensory loss. Congenital sensory loss is when the individual has sensory loss from birth whereas acquired sensory loss is when the sensory loss has developed as a result of aging, serious injury or illness. 3.3 Identify the demographic factors that influence the incidence of sensory loss in the population. There are many factors that’s influence the incidence of sensory loss in the population, as people age it is a common  that losing some sight, hearing or both is a normal part of grow old. With rising numbers of people over 60 years old and with the growing life expectancy the amount of people who experience both sight and hearing loss is also escalating. Another factor in the population is the level of noise out in the community. Continuous exposers to loud noises can damage your hearing. Exposer to certain viral infections and some other illnesses can also be a factor to sensory loss in the population especially if the infections are passed on from person to person i.e. rubella. Outcome4. Know how to recognise when an individual may be experiencing sight and / or hearing loss and actions that may be taken. 4.1 Identify the indicators and signs of sight loss, hearing loss and deafblindness. Eyesight tends to disappear more gradual than sudden. In fact the warning signs in adults can be subtle and may not be noticed until it becomes a nuisance. As support workers we should be looking for signs such as squinting, bumping into objects, moves hesitantly and stays close to walls. We should also be listening to complaints of headaches, migraines and eyes hurting. Again hearing loss can be subtle, some indicators and signs of hearing loss include, needed frequent repetition, have difficulty following conversation, thinking people sound muffled and have the TV or radio turned up to high volume. People who suffer hearing loss may also rise their own voice during conversation as they may not be able to hear themselves speaking. When an individual suffers from deafblindness you may notice a combination of the signs and indication of someone who suffers hearing or sight loss. 4.2 Explain actions that should be taken if there are concerns about onset of sensory loss or change in sensory status. If you notice changes in the ability of someone you support, it is important to speak to them about what you have noticed. For example, if you think that someone’s sight is deteriorating, you need to check with them that they have noticed too. If we have concerns we should explain to them what can be done to get it check and treatments or aids available to them. We should go through the options for investigating the cause of the loss and ensure that we have the person’s agreement to contacting the relevant health professional. The first contact would usually be the GP who would arrange further specialist test. If further treatment is need it is important that as support workers we reassure the individual and support them to appointments. The individual’s family should also be informed. 4.3 Identify sources of support for those who may be experiencing onset sensory loss. There are specialist organisation such as RNIB and RNID that provide information and specialist advice they could also provide information on local facilities. GPs and local hospitals would also be able to provide support also some primary care trusts also have sensory support teams who may be able to provide support or to offer advice on good practice. There are many awareness courses that employers can also provide to carers/support worker so they can better support the individuals with onset sensory loss.