American Me Essay Example for Free

American Me Essay The film; American Me is an epic depiction of 30 years of Chicano gang life in Los Angeles, California. The movie focuses on the life of a 1950s teen named Montoya Santana, who forms a gang with his close friends. The gang is arrested for a break-in, and sentenced to time in juvenile hall. Santana finds trouble on his first night in juvenile hall and goes from juvenile hall to prison for 18 years. There he created and led a powerful gang that operated both inside and outside the prison. When released from Folsom Prison, he tries to make sense of the violence in his life, in a world that has changed greatly. Inspired by a true story, the film provides a fictionalized account of the founding and rise to power of the Mexican Mafia in the California prison system from the 1950s into the 1980s. The story opens by taking the viewer on a journey back in time to the Zoot Suit era of World War II before the birth of Montoya Santana. Santana’s parents were Zoot Suitors. It is here that Santana’s destiny began. Because of the wartime labor shortage of this era, the American and Mexican governments agreed to a program by which braceros (contract laborers) were admitted to the United States for a limited time to work at specific jobs.. Mexican Americans were the second largest group of migrants after Black Americans in the 1940s. The influx of Mexican Americans created societal change. â€Å"The sudden expansion of Mexican American neighborhoods created tensions and some conflicts within white society and governmental bodies. White residents of Los Angeles became alarmed at the activities of Mexican American teenagers, most of whom were joining street gangs. Zoot Suits became popular (baggy pants, long loose jacket, the big collar, the long watch chain, the slicked back hair, broad-brimmed hats), which became a symbol of rebellion against conventional white society† (www. stuffliketaht. org, 2010). Thus the term, Zoot Suit was born. â€Å"In Mid-1943, a four-day riot in LA broke out because of the hatred toward the Zoot-suitors. White sailors invaded Mexican American communities and attacked Zoot Suitors. The city police did nothing to restrain the sailors, who grabbed the Hispanic teenagers, tore off and burned their clothes, cut off their hair, and beat them. However, when Hispanics tried to fight back, the police moved in and arrested them. After the Zoot Suit riots, LA passed a law prohibiting the wearing Zoot Suits† (www. stufflikethat. org, 2010) It was during these riots that Santana’s parents Pedro and Esperanza were attacked. After being beaten, Pedro was arrested by local police for being a Zoot Suitor. Violently raped, Esperanza had her clothes torn off by a multitude of Caucasian sailors. The film brings the viewer forward in time to 1959 with Santana as a young man of 16 growing up in the barrios with his friends and fellow gang members Mundo and JD. After being arrested and sent to juvenile hall, Santana has his â€Å"manhood† taken from him on the first night and murders the man who sodomized him. The power and respect that killing this man brought from his peers was intoxicating; his act also brought him a long prison sentence. During many years of incarceration, Santana and his gang affiliates grew their business and their numbers both inside and outside the prison. Upon his release from prison, he was surprised how much life and the barrios had changed. Santana struggled as he observed the power plays between the Italian mafia, the Black Guerillas, and the Aryan Brotherhood. They all wanted more territory and more business. This created internal conflict for the main character as the roots of his belief about his gang Por Vida (for life) was to lift and strengthen the Chicano communities. . His associates saw this internal struggle as weakness. Santana’s challenges in society were appropriate socialization and healthy behavior in romantic relationships. After a short time on the outside, Santana is arrested, and returned to prison. It is here that Santana’s life ends. He is brutally murdered by his gang associates for not going along with a decision. The Santana family lived in the same home in the barrios (ghetto) of East Los Angeles for some 30 years, their economic status described as poor working class. Santana’s’ parents were Mexican American. Santana’s ethnicity is partially unknown, as he was born as a product of his mothers’ rape. Some of Santana’s strengths were his strong family and neighborhood ties, his abilities to organize and lead people, his loyalty, and pride. He also had a very sensitive side to him, which was deep, poetic, and soulful. The primary presenting issues of the character Santana are: He comes from a background of poverty, lacking education and job skills. His neighborhood role models and leaders were gangbangers or Zoot Suitors. He spent most of his life institutionalized in prison and lacks socialization skills, such as knowing how to buy a pair of shoes or how to go about build relationship with a woman. He has never had a healthy sexual relationship and his sexual and relational development was largely thwarted by living in prison. The main character would be well served with supports in assessing and developing career skills and opportunities for continuing education as well. A human service worker could best help assist Santana by having knowledge of the culture background, local cultural competency support and resources, pertinent cultural information and have certain skills that are common to assisting with minority individuals and groups. These common skills include communication, access to interpreters, assessment, planning, implementation, and evaluation, drawing upon a range of theories of human and group behavior, knowledge of individual differences and the minority identity development model and stages for change, and an awareness of the larger social context of Santana’s. â€Å"To be an effective human service worker, it is important to apply various skills with an understanding of relevant theories and minority identity models and be able to choose appropriate intervention strategies and methods for particular situations. There is no substitute for working with individuals or groups; an important part of enhancing a workers intervention skills is obtaining hands-on experience† (Human services Interventions, 2002). Some culturally competent local support services and agencies suggested for Santana are as follows: â€Å"Friends-CARE is a nonprofit organization designed to break the cycle of generational crime. Its purpose is to raise awareness regarding the children and families of the incarcerated. Friends-CARE does provide services, intervention, community resources, and programs for these families and supports the appropriate relationships between inmates and their families upon returning to the community† (www. friends-Care. org, 2010). California Gangs Anonymous (CGA) â€Å"CGA is a twelve step program for criminals and gang members both inside and outside the prison system. Participants attend meetings regularly and express the genuine details, past and present of their lives, CGA is a place to let our emotions out freely in a safe environment. CGA is about honesty, hope, solutions, and alternatives to living a happier life† (www.cganon. com 2010). Sacramento Food Bank and Family Services – â€Å"Adult Education program provides unique learning opportunities to adults at no cost in a supportive, highly personalized and non-judgmental environment. Education is provided in the classroom setting as well as through one-on-one tutoring and appointments. All services are free to the community and open to adults over the age of 18. Educational services include tutoring in literacy, math, reading and writing, English as a Second Language (ESL) classes, assistance with job searches, resume building workshops, computer basics classes in English and Spanish† (www.sfbfs. org, 2010). After evaluation of Santana’s background and presenting issues, the assessors recommend an intervention treatment plan consisting of the above-mentioned community resources Criminals/Gang Members Anonymous for working through what it means to be gang affiliated, Friends-CARE as an external support including participating in a program intended to build/re-build family relationships after incarceration. As these family relationships may serve as strong supports as the client moves away from gang related activities and individuals. Additionally, the SFBFS Adult Education Program, where Santana can build his English-speaking skills, acquires an education, job skills, and takes computer classes. Socialization and sexual socialization therapy is strongly suggested. The founding and rise of the Mexican mafia in 1950s East Los Angeles was inevitable. The wartime indecencies to the previous Mexican American generation known as the Zoot-suitors caused a community to want to stand strongly as a people. A natural and inherent part of Mexican culture is to gather, to band together as family and friends in strength and celebration. Perhaps a Mexican gang is a distorted extension of this natural inclination to gather and join in strength caused by acculturation present within white society. References CGA (n. d. ). CGA. Retrieved August 30, 2010, from www. cganon. org (n. d. ). History Review Sheet. Retrieved August 30,2010, from www. stufflikethat. org/minorities Human Service Interventions (2002). Working with Individuals or with Groups. Retrieved August 31, 2010, from http://www. cpcs. umb. edu/support/studentsupport/red_book/humser_intervention_one. htm Sacramento Food Bank and Family Services. (). SFBFS [Brochure]. Sacramento, CA: Author. Universal (Producer), Olnos, E. J. (Director).

Michigan Department of Natural Resources and Chronic Wasting Disease (CWD) :: Exploratory Essays

Michigan Department of Natural Resources and Chronic Wasting Disease (CWD) The controversial topic I decided to choose was Michigan’s plans on preventing the spread of CWD (Chronic Wasting Disease) in the white-tailed deer and elk herds. Many areas throughout the United States have broken out with this deadly disease, like Colorado, Nebraska, New Mexico, South Dakota, Wisconsin, Montana, and even the province of Saskatchewan. The problem with CWD originated from Saskatchewan, where captive deer became infected with this disease that affects the nervous system. This disease is very similar to that of Bovine Spongiform Encephalopathy or more commonly referred to as â€Å"Mad Cow Disease†. The disease was spread through international transportation of deer from one farm to the next. CWD spreads very fast and rapidly. It attacks the nervous system making the deer lose an excessive amount of weight, hair, and all vision becomes blurry leaving the deer disoriented. As of right now, Michigan has tested negative in all counties for the Upper and Lowe r Peninsula. So this leads to many controversial issues about baiting deer for hunting season. Sense, saliva can spread the disease, the DNR is trying to stop hunters from baiting deer to prevent this from spreading. Some hunters rely on hunting over bait bile’s, to attract deer to their hunting areas. Michigan has limitations on the amount of bait you can spread at one time. We are only allowed to spread a five-gallon bucket over a 6-foot area. But the DNR has already made plans to make baiting illegal when any state such as Ohio, Indiana, Illinois, or the Canadian province of Ontario, have been infected with CWD [1]. All baiting of deer will be illegal and there will be no more baiting allowed ever. So I feel that the state is doing the right thing to prevent CWD from spreading into the state. Another concern the DNR has is people traveling to other states to hunt and bringing back the animal. The DNR wants to limit the amount of carcasses brought into the state. Michigan Department of Natural Resources officials reminded Michigan hunters headed out-of-state to hunt deer and elk this fall to take common-sense precautions to avoid accidentally bringing Chronic Wasting Disease back to Michigan [2]. The deer can have the disease and also carry it in the feces, urine, saliva, brain, spinal cord, and the meat. So once you have killed the animal, you should take it to a sanitary landfill, or buried deep where no animal can get to it and become infected.

Lost Sales Forecast

TERM- PAPER Lost Sales Forecast Table of Contents Introduction3 Carlson Department Store Sales data for September 1992 through August 19964 Countywide Department Stores Sales data for September 1992 through August 19965 Choosing the appropriate forecasting method6 Trend and Seasonal Components in Forecasting7 An estimate of lost sales for the Carlson Department Store10 Conclusion10 Introduction The Carlson Department Store suffered heavy damage when a hurricane struck on August 31, 1996. The store was closed for four months (September 1996 through December 1996) causing our sales drop to $0.The task of this report is to analyze sales in our department store in past 48 months and develop estimates of the lost sales at the Carlson Department Store for the months of September through December 1996. The Carlson Department Store is involved in a dispute with insurance company concerning the amount of lost sales during the time the store was closed. Two key issues must be resolved: 1) The amount of sales Carlson would have made if the hurricane had not struck, and 2) Whether Carlson is entitled to any compensation for excess sales from increased business activity after the storm.More than $8 billion in federal disaster relief and insurance money came into the county, resulting in increased sales at department stores and numerous other businesses. Carlson Department Store Sales data for September 1992 through August 1996 Certain conditions should be met by any good forecast. A good forecast should usually be based on adequate knowledge of the relevant past. With our company – The Carlson Department Store – we have the sales data for the 48 months preceding the storm available. This amount of historical data fulfills the requirement for the volume of relevant data.Table  1 shows the sales data for the Carlson Department Store for the months of September 1992 through August 1996. Table 1: Sales for Carlson Department Store [mil. $] |Month |1992 |1993 |19 94 |1995 |1996 | |February | |1. 80 |1. 89 |1. 99 |2. 28 | |March | |2. 03 |2. 02 |2. 42 |2. 69 | |April | |1. 99 |2. 23 |2. 45 |2. 48 | |May | |2. 32 |2. 39 |2. 57 |2. 3 | |June | |2. 20 |2. 14 |2. 42 |2. 37 | |July | |2. 13 |2. 27 |2. 40 |2. 31 | |August | |2. 43 |2. 21 |2. 50 |2. 23 | |September |1. 71 |1. 90 |1. 89 |2. 09 | | |October |1. 90 |2. 13 |2. 29 |2. 54 | | |November |2. 74 |2. 56 |2. 83 |2. 97 | | |December |4. 20 |4. 16 |4. 04 |4. 5 | | Series of numbers is often difficult to interpret. Graphing the observations can be very helpful since the shape of a complicated series is more easily discerned from a picture. The data for Carlson Department Store, as can be seen in Graph 1, indicate some seasonal fluctuations. It can be seen that the sales in last quarter are higher than in the first 3 quarters of a year, with the highest volume of sales in December. [pic] Countywide Department Stores Sales data for September 1992 through August 1996 The data for all department stor es in the county are summarized in Table 2.Table 2: Department Store Sales for the county [mil. $] |Month |1992 |1993 |1994 |1995 |1996 | |February | |48. 0 |48. 6 |45. 6 |51. 6 | |March | |60. 0 |59. 4 |57. 6 |57. 6 | |April | |57. 6 |58. 2 |53. 4 |58. 2 | |May | |61. 8 |60. 6 |56. 4 |60. 0 | |June | |58. 2 |55. 2 |52. 8 |57. 0 | |July | |56. 4 |51. |54. 0 |57. 6 | |August | |63. 0 |58. 8 |60. 6 |61. 8 | |September |55. 8 |57. 6 |49. 8 |47. 4 |69. 0 | |October |56. 4 |53. 4 |54. 6 |54. 6 |75. 0 | |November |71. 4 |71. 4 |65. 4 |67. 8 |85. 2 | |December |117. 6 |114. 0 |102. 0 |100. 2 |121. 8 | Sales of all department stores in the county, as can be seen from Graph 2, show similar seasonal fluctuations as sales of Carlson Department Store. pic] From the above graph one can also observe that in past 3 years (years 1993-1995) the volume of sales in the month of September went down, and slowly went up again in October and November and usually reached its peak in December. The unusual b ehavior in September 1996 pulls our attention. For the first time in 4 years history we observe that the sales volume in September compared to August sales went up by 11. 7 % whereas in September 1993 they were down by 8. 6%, in September 1994 down by 15. 3%, and in September 1995 actually down by 21. 8%.The question is why such a change occurred? And the answer is that more than $8 billion in federal disaster relief and insurance money came into the county, which resulted in these increased sales at department stores. Choosing the appropriate forecasting method There are many different forecasting methods. One of the challenges we had to face was to choose the right technique. Smoothing methods are appropriate for a stable time series. When a time series consist of random fluctuations around a long-term trend line, a linear equation may be used to estimate the trend.When seasonal effects are present, seasonal indexes can be computed and used to deseasonalize the data and to develop forecasts. When both seasonal and long-term trend effects are present, which is also the case of Carlson Department Store as well as the case of all department stores in the county, a trend line is fitted to the deseasonalized data; the seasonal indexes are then used to adjust the trend projections. Trend and Seasonal Components in Forecasting The procedure of forecasting the sales for months September through December 1996 (had there been no hurricane) for The Carlson Department Store is summarized in Table 3.Table 3: Procedure of forecasting sales for Sep. -Dec. 1996 |   |   |Sales |12-month |Centered |Seasonal |Deseasonalized | | | | |Moving |Moving |Irregular |Sales | | | | |Average |Average |Value | | |1992 |Sept. |1. 71 |- |- |- |2. 09 | |   |Oct. |1. 90 |- |- |- |1. 95 | |   |Nov. |2. 74 |- |- |- |2. 35 | |   |Dec. |4. 20 |- |- |- |2. 41 | |1993 |Jan. 1. 45 |- |- |- |1. 46 | |   |Feb. |1. 80 |- |- |- |2. 13 | |   |Mar. |2. 03 |- |- |- |2. 09 | |   |Apr. |1. 9 9 |- |- |- |2. 05 | |   |May |2. 32 |- |- |- |2. 24 | |   |June |2. 20 |- |- |- |2. 37 | |   |July |2. 13 |- |- |- |2. 28 | |   |Aug. |2. 43 |- |- |- |2. 2 | |   |Sept. |1. 90 |2. 24 |- |- |2. 32 | |   |Oct. |2. 13 |2. 26 |2. 25 |0. 95 |2. 18 | |   |Nov. |2. 56 |2. 28 |2. 27 |1. 13 |2. 19 | |   |Dec. |4. 16 |2. 26 |2. 27 |1. 83 |2. 38 | |1994 |Jan. |2. 31 |2. 26 |2. 26 |1. 02 |2. 32 | |   |Feb. |1. 89 |2. 33 |2. 29 |0. 82 |2. 23 | |   |Mar. |2. 02 |2. 34 |2. 33 |0. 87 |2. 08 | |   |Apr. |2. 23 |2. 34 |2. 34 |0. 5 |2. 30 | |   |May |2. 39 |2. 36 |2. 35 |1. 02 |2. 31 | |   |June |2. 14 |2. 36 |2. 36 |0. 91 |2. 30 | |   |July |2. 27 |2. 36 |2. 36 |0. 96 |2. 43 | |   |Aug. |2. 21 |2. 37 |2. 36 |0. 94 |2. 38 | |   |Sept. |1. 89 |2. 35 |2. 36 |0. 80 |2. 31 | |   |Oct. |2. 29 |2. 35 |2. 35 |0. 97 |2. 34 | |   |Nov. |2. 83 |2. 36 |2. 36 |1. 20 |2. 42 | |   |Dec. 4. 04 |2. 39 |2. 37 |1. 70 |2. 31 | |1995 |Jan. |2. 31 |2. 38 |2. 38 |0. 97 |2. 32 | |   | Feb. |1. 99 |2. 38 |2. 38 |0. 84 |2. 35 | |   |Mar. |2. 42 |2. 38 |2. 38 |1. 02 |2. 49 | |   |Apr. |2. 45 |2. 42 |2. 40 |1. 02 |2. 52 | |   |May |2. 57 |2. 44 |2. 43 |1. 06 |2. 48 | |   |June |2. 42 |2. 45 |2. 44 |0. 99 |2. 60 | |   |July |2. 40 |2. 47 |2. 46 |0. 7 |2. 57 | |   |Aug. |2. 50 |2. 49 |2. 48 |1. 01 |2. 70 | |   |Sept. |2. 09 |2. 51 |2. 50 |0. 84 |2. 55 | |   |Oct. |2. 54 |2. 53 |2. 52 |1. 01 |2. 60 | |   |Nov. |2. 97 |2. 55 |2. 54 |1. 17 |2. 54 | |   |Dec. |4. 35 |2. 56 |2. 55 |1. 70 |2. 49 | |1996 |Jan. |2. 56 |2. 58 |2. 57 |1. 00 |2. 57 | |   |Feb. |2. 28 |2. 61 |2. 59 |0. 88 |2. 69 | |   |Mar. |2. 9 |2. 63 |2. 62 |1. 03 |2. 77 | |   |Apr. |2. 48 |2. 65 |2. 64 |0. 94 |2. 55 | |   |May |2. 73 |2. 65 |2. 65 |1. 03 |2. 64 | |   |June |2. 37 |2. 67 |2. 66 |0. 89 |2. 55 | |   |July |2. 31 |2. 66 |2. 67 |0. 87 |2. 47 | |   |Aug. |2. 23 |2. 66 |2. 66 |0. 84 |2. 40 | |   |Total |   |   |   |   |113. 72 | Columns 1 and 2 represent al l the years and months.Column 3 shows the monthly sales data of Carlson Department Store. The first step of the deseasonalizing process is to calculate the moving averages. We had to decide how many observations to use in the moving average. One selection method is to calculate the mean error and the mean squared error of the differences between the actual data and the forecast. The series with the smallest squared error would be preferred. The Management Scientist results for the Carlson Department Store show that the 12-month moving average gives the smallest squared error. The 12-month moving average values are shown in the Column 4.If the number of data points in a moving average calculation is an even number, we need to center the moving average values to correspond to a particular time period, as we did in the calculations in Column 5. By dividing each time series observation by the corresponding centered moving average value, we could identify the seasonal-irregular effect in the time series. Column 6 summarizes the resulting seasonal-irregular values for the entire time series. By dividing each time series observation by the corresponding seasonal index, we remove the effect of season from the time series.Deseasonalized sales data are shown in Column 7 and a graph of the data (graph 3) is on the next page. The first step of the decomposition procedure has now been completed. The new series has eliminated the seasonality. The next step is to calculate the trend. The observation of the deseasonalized sales data of Carlson Department Store appears to indicate that a straight line would be most appropriate form of equation that would describe the trend. Graph 3: Deseasonalized sales data of Carlson Department Store [pic] Applying regression analysis we have arrived to this the linear trend equation: Tt = 2. 875 + 0. 0118t. The slope of 0. 0118 in the trend equation indicates that over past 4 years the Carlson Department Store has experienced an average gro wth in sales of about $0. 0118 per year. If we assume that the past 4-year trend in sales is a good indicator for the future, we can use the equation above to project the trend component of the time series. Substituting t = 49, 50, 51, and 52 into the equation we yield the deseasonalized sales of Carlson DS for September through December 1996. For September 1996 we get $2. 67 mil, for October 1996 $2. 68, November 1996 $2. 9 and for December 1996 $2. 70. In order to apply the seasonal effects we multiply these projected deseasonalized sales by the relevant seasonal indexes calculated in Table 4. Table 4: Seasonal Indexes |Month |Seasonal-Irregular Component Values |Seasonal | | | |Index | |Jan. |- |0. 63 |0. 64 |0. 65 |0. 69 |0. 65 | |Feb. |- |0. 78 |0. 80 |0. 81 |0. 87 |0. 82 | |March |- |1. 12 |1. 11 |1. 4 |1. 06 |1. 11 | |April |- |1. 00 |1. 01 |0. 99 |1. 02 |1. 01 | |May |- |1. 04 |1. 03 |1. 03 |1. 03 |1. 03 | |June |- |0. 99 |0. 97 |0. 97 |0. 98 |0. 98 | |July |- |0. 96 |0. 92 |0. 98 |0. 98 |0. 96 | |Aug. |- |1. 07 |1. 09 |1. 10 |1. 02 |1. 07 | |Sep. |- |0. 98 |0. 93 |0. 88 |1. 05 |0. 96 | |Oct. |- |0. 90 |0. 8 |0. 99 |1. 03 |0. 98 | |Nov. |1. 00 |1. 02 |1. 00 |1. 04 |1. 00 |1. 01 | |Dec. |1. 47 |1. 45 |1. 41 |1. 37 |- |1. 43 | An estimate of lost sales for the Carlson Department Store By multiplying the projected deseasonalized sales by the relevant seasonal indexes calculated in Table 4 we will arrive to the levels of sales for months September 1996 through December 1996 had there been no hurricane: September 1996 $2. 19 mil. October 1996$2. 62 mil November 1996 $3. 14 mil December 1996$4. 1 mil The above-described procedure for forecasting sales for Carlson Department Store can be applied to countywide department stores too. It would give following results: The estimated countywide department store sales had there been no hurricane (and no disaster relief money) for September 1996 is $46. 65 mil, for October 1996 $51. 22, for November 1996 $64. 4, and for December 1996 $99. 3. Comparing these figures to the actual sales of the countywide department stores one can see that the actual sales are over-valuated. I attribute this to the $8 billion of disaster relief money.Had the county department stores not received the disaster relief money they would probably continue their downward trend described by function Y = 63. 64 – 0. 13t. The slope of –0. 13 in the trend equation indicates that over past 4 years countywide department stores have experienced an average decline in sales of about $0. 13 per year. Conclusion The task of this report was to resolve two key issues. 1. Estimate the amount of sales Carlson would have made if the hurricane had not struck. We have come to a conclusion that the sales for September 1996 had there been no hurricane would be $2. 9 mil, in October 1996 it would be $2. 62 mil, in November 1996 it would be $3. 14 mil and in December 1996 it would be $4. 71 mil. 2. Find out whether Carlson is e ntitled to any compensation for excess sales from increased business activity after the storm. More than $8 billion in federal disaster relief and insurance money came into the county, resulting in increased sales at department stores and numerous other businesses. Based on our estimates we strongly believe that the countywide department stores would made much lower sales haven’t they received the relief money.Therefore we believe that our department store is entitled to compensation for excess sales from increased business activity after the hurricane and we will inquire the insurance company to cover our lost sales for months September through December 1996 in the amount of $12. 66 mil. †¢ Reference: †¢ Keat, P. G. , Young, K. Y. : Managerial Economics. Economic tools for today’s decision makers. 3rd edition. †¢ Anderson, D. R. , Sweeney, D. J. , Williams, T. A. : Quantitative Methods for Business. 8th edition. †¢ Barr, Richard. Southern Methodist University. â€Å"The Appeal of Network Models†. 1997. 5 Feb 1997.

Importance of Security of Personal Belongingsg - 642 Words

PFC Racheau Lipscomb Importance of Security of Personal Belongings Accountability without security is definitely not the right answer to a successful business or working environment, take for example; your NCO or boss leaves you in charge of a simple task of moving one piece of equipment to another location without help. While your undergoing this process you leave your previous location where it is unsafe meaning anyone has access to it. Anything could happen within that span of time that your absent from your workspace. When you finish your task and head back to your work area, you discover something missing... This is where accountability would come hand to make sure all your secure work items are there, so that you may be able†¦show more content†¦CPL. Edwards I would to thank you for making me realize how important it is to check behind myself when working with others. Making sure my priorities are right before helping others. Thank you for your