Morgan Laplante . Mrs. Rhodes . Pre-Ap English 10 . 13

Morgan Laplante Mrs. Rhodes Pre-AP English 10 13 February 2016 Happiness Is Not This A person’s happiness is completely different than that of the person next to them. In Fahrenheit 451, the society is given the idea that happiness is found in the fast life. Students crash cars, crack windows, and drive recklessly for fun. Schooling in this society is not even in the realm of learning. Instead, it is filled with sports, electronics, and everything but an education. Death is a quick cremation instead of a proper funeral and mourning. Adults not only have poor relationships with their spouses, but also their children. Despite all these things, to the people of the Fahrenheit 451 society, the weak human connections and speedy existence†¦show more content†¦Montag’s change of view in what happiness is, was replicated by Ted in the Lorax and perfectly represented by Furtado’s piece of art; happiness is not always what society says it is. Throughout the story of Fahrenheit 451 Guy Montag goes from being carefree about his current living situation to realizing that, there may be something more to life. Though meeting Clarissa throws Montag through the finish line, his journey away from society began long before Clarissa. She pushed him out of the darkness and into the light. His eyes were thrust open from her asking of one simple question; â€Å"Are you happy?† (Bradbury, Page 14). The question rocked Montag’s world. Montag says, â€Å"â€Å"Happy! Of all the nonsense.† He stopped laughing†¦ Of course I’m happy. What does she think? I’m not?† (Bradbury, Page 14). The society’s ways of living in the fast lane were happiness to him, until he discovered what lived within the books. In the beginning of the book, Montag was content burning the books, living in the fast lane, not having a full relationship with his wife. He was fine with living like everyone else in his society and turning a blind eye to occurrences that did not fit into the societyâ₠¬â„¢s ideas of happiness. As Montag began to read the books he stole, his eyes were opened to an entire new world. He begins to wonder about others and their feelings, and asks strange questions. When he asks his wife, Mildred, where they met, she has no problem withShow MoreRelatedManaging Information Technology (7th Edition)239873 Words   |  960 PagesHessa Albader Cover Art: Fotolia Media Editor: Denise Vaughn Media Project Manager: Lisa Rinaldi Full-Service Project Management: Integra Software Services Pvt. Ltd. Printer/Binder: Edwards Brothers Cover Printer: Leghigh-Phoenex Color Text Font: 10/12, Times Credits and acknowledgments borrowed from other sources and reproduced, with permission, in this textbook appear on appropriate page within the text. Microsoft ® and Windows ® are registered trademarks of the Microsoft Corporation in the

The Brazilian Federal Data Processing Services - 1077 Words

The Brazilian Federal Data Processing Services is experience at least two types of the ethical problem. First, the NSA is acting contrary to international standards relations. It is ethically wrong for the government agency to spy on another government’s data or information. Although American security agencies have been accused of spying on the security information of other countries, their actions are illegal and will create a poor inter country relationship (Constantin, 2014). From this case, even the Brazilian president, Rousseff, protested to NSA activities and has predicted a poor online relation with the U.S. The second element describing a business ethical problem in this case is the fact that the software handling the government†¦show more content†¦This agency should not enter another country’s databases just because they are capable of doing so. America is good in developing regulations for local and international relations but very poor in practicin g. For example, private information sharing within the government agencies is regulated by privacy rules but this happens in theory while practically these agencies access and share private information illegally. NSA behavior has even caused some negative relationship between Brazil and American to the extent that Brazil is worried about the internet legislations the U.S. might impose that will affect its citizen’s internet access from U.S. websites. Brazil hired the services of the Internet Security Systems, Inc (ISS) to develop its Federal Enterprise Architecture. Since 1999, ISS has been managing Brazilian Federal Data Processing Services (Sepro) and providing with the basic infrastructure to handle billions of the countries transactions (PR Newswire, 2004). ISS is an American Internet Data handling company. This company is responsible for U.S. Federal Architecture Framework. Therefore, it could just be using the same system on the Brazil government such that the SEPRO architecture is similar to what Americans use. With similar systems but located in different countries, America could have an advantage to Brazil because it is using the same system it knows better (PR Newswire, 2004). ISS could have only

Economic Order Quantity and Significant Predictor. Free Essays

1. Stock prices over a period of fifty (50) years would most likely exhibit no cyclical component. a. We will write a custom essay sample on Economic Order Quantity and Significant Predictor. or any similar topic only for you Order Now True b. False 2. On the plot labeled â€Å"a†, which of the following is correct? a. There is a trend present. b. There is a linear relationship. c. There is an obvious outlier. d. There is a negative relationship. 3. On the plot labeled â€Å"b†, there is an outlier present. a. True b. False 4. On the plot labeled â€Å"c†, which of the following models is most appropriate? a. single-parameter exponential smoothing b. regression c. regression with seasonality (classical time-series) . none of the above are appropriate 5. In a simple linear regression, we are using monthly advertising expenditures (in $000) to predict monthly profits (in $000). If the least squares equation is y = 21. 5 – . 1x and the coefficient of determination is . 49, the correlation coefficient = ______. a. 0. 70 b. -0. 70 c. unable to be determined from the data. 6. In a simple linear regression, we are using monthly advertising expenditures (in $000) to predict monthly profits (in $000). If the least squares equation is y = 21. 5 – . x and the coefficient of determination is . 49. The predicted profit = __________ when advertising expenses are $0. a. 21. 5 b. -0. 1 c. $21,500 d. none of the above. 7. If the correlation coefficient is zero, there is no relationship between x and y. a. True b. False 8. Kelvin Shoe Stores carries a basic black dress shoe for men that sells at a rate of 500 each quarter. Their current policy is to order 500 per quarter, with a fixed cost of $30/order. The annual holding cost is 20% of the cost of items held. The following cost structure is applicable: Order Quantity |Price/pair | |0-99 |$36 | |100-199 |32 | |200-299 |30 | |300+ |28 | For a price of $36, the optimal order quantity is a. 129 b. infeasible for this cost structure. c. neither of the above. d. both a and b. 9. Kelvin Shoe Stores carries a basic black dress shoe for men that sells at a rate of 500 each quarter. Their current policy is to order 500 per quarter, with a fixed cost of $30/order. The annual holding cost is 20% of the cost of items held. The following cost structure is applicable: |Order Quantity |Price/pair | |0-99 |$36 | |100-199 |32 | |200-299 |30 | |300+ |28 | The optimal order quantity is a. 129 b. 141 c. 146 d. 300 10. Foster Inc. arries special holiday items, including Happy Angels (HAs). During the season, the demand for HAs is approximately normally distributed, with a mean of 320 and a standard deviation of 30. It costs Foster $5. 00 for each HA unless he orders at least 400, at which the price drops to $4. 50/HA. The HAs’ retail price is $10. Unsold items will be given to a local hospital, with a disposal cost of $0. 05/HA. Mr. Foster estimates that the goodwill cost of each item short is close to $0. 25. a. This is a single-period inventory problem. b. This is an EOQ problem. c. This is a periodic-review problem. d. None of the above 11. Foster Inc. carries special holiday items, including Happy Angels (HAs). During the season, the demand for HAs is approximately normally distributed, with a mean of 320 and a standard deviation of 30. It costs Foster $5. 00 for each HA unless he orders at least 400, at which the price drops to $4. 50/HA. The HAs’ retail price is $10. Unsold items will be given to a local hospital, with a disposal cost of $0. 05/HA. Mr. Foster estimates that the goodwill cost of each item short is close to $0. 25. A Christmas-tree model is appropriate. a. True b. False 12. A regular EOQ model is appropriate when demand is seasonal. a. True . False 13. See the attached â€Å"Regression Data I†. We are using the number of radios, TVs, and DVD players stocked to predict the profit, revenue, and cost for future periods. First, run a model to predict the profit. Select all which apply. a. Radios is a significant predictor. b. TVs is a significant predictor. c. DVDs is a significant predictor. d. The overall model is significant. e. The intercept is positive. f. Severe multicollinearity is present. 14. See the attached â€Å"Regression Data I†. We are using the number of radios, TVs, and DVD players stocked to predict the profit, revenue, and cost for future periods. Next, run a model to predict the cost. Select all which apply. a. Radios is a significant predictor. b. TVs is a significant predictor. c. DVDs is a significant predictor. d. The overall model is significant. e. The intercept is positive. f. Severe multicollinearity is present. 15. See the attached â€Å"Regression Data I†. We are using the number of radios, TVs, and DVD players stocked to predict the profit, revenue, and cost for future periods. Based on the output, which of the following recommendations would be most appropriate? a. We should stock more radios. b. We should stock fewer TVs. c. We should increase floor space, since it is probably constraining our sales ability. d. We should consider the time period. 16. What is the best answer given this information? (3) | |Model 1 |Model 2 |Model 3 | |X-variables |6 |4 |3 | |R2 |. 9344 |. 8857 |. 761 | |Adjusted R2 |. 9058 |. 8372 |. 8497 | |MSE |5667. 53 |6044. 05 |5844. 78 | a. Model 1 performs the best in all areas. b. Model 2 performs better than Model 3. c. We would most likely prefer Model 1. d. We would most likely prefer Model 2. e. We would most likely prefer Model 3. 17. The table below features three forecasting models used on the same set of data. Select all that apply. |Model 1 |Model 2 |Model 3 | |Type |Single-parameter Exponential |2-parameter Exponential smoothing |3-parameter Exponential smoothing| | |smoothing | | | |MSE |8755. 3 |4876. 2 |5945. 8 | a. There is likely a strong seasonal component present. b. There is likely a trend present. c. There is no random component pres ent. d. There is a cyclical component present. e. A different smoothing constant could affect the MSE for Model 1. 18. If we increase the order (setup) cost, the order quantity will _____________ if we hold all other costs constant. a. increase b. decrease c. remain the same as long as there is no shortage cost d. become unstable 19. If demand is normally distributed, a. a basic EOQ is appropriate. b. a single-period model could not be appropriate. c. we should produce to fill demand, rather than filling it through orders. d. none of the above would be true. 20. Which of the following methods may be used to determine future order quantities? . forecasting b. regression c. inventory models d. all of the above 21. Refer to the inventory output for Betsy’s Blue Bonnet Bakery. Here, Betsy is trying to determine the optimal order policy for birthday kits. What is the safety stock? 114____________ 22. Refer to #21. What is Betsy’s service level if she uses this policy? 87%___________ _____ 23. Refer to #21. If Betsy changes to a lost sales model, the order quantity would be expected to increase. a. True b. False c. It depends on the cost associated with a lost sale. 24. Refer to the forecasting output for Betsy’s. This model is appropriate for the type of data. . True b. False 25. Refer to #24. Look at the forecast errors. Which of the following best describes the situation? a. The errors are indicative of what we like to see. b. The errors are randomly distributed. c. The errors are indicative of a problem with the model. d. The errors are indicative of a poor choice of ?. 26. Refer to #24. What recommendation would you make? a. We should use the model as is. b. We should alter model parameters to improve the fit? c. We should use the model, but use extreme caution in doing so. d. We should eliminate some time periods for forecasting. Regression Data I Profit | | | | | |Revenue | | | | | |Radios | | | | | |TVs | | | | | |DVDs | | | | | | | | | | | |Qu arter | | | | | |Errors | | | | | | | | | | | |6318. 96 | | | | | |8395. 1 | | | | | |36 | | | | | |65 | | | | | |48 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |4721. 57 | | | | | |6300. 28 | | | | | |26 | | | | | |48 | | | | |39 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |5049. 16 | | | | | |6747. 5 | | | | | |33 | | | | | |51 | | | | | |40 | | | | | | | | | | | |2000 – 3 | | | | | |32 | | | | | | | | | | | |5249. 44 | | | | | |7028. 6 | | | | | |29 | | | | | |53 | | | | | |45 | | | | | | | | | | | |4 | | | | | |46 | | | | | | | | | | | |5290. 08 | | | | | |7116. 1 | | | | | |32 | | | | | |52 | | | | | |49 | | | | | | | | | | | |2001 – 1 | | | | | |19 | | | | | | | | | | | |5924. 41 | | | | | |7951. 0 | | | | | |41 | | | | | |58 | | | | | |52 | | | | | | | | | | | |2 | | | | | |23 | | | | | | | | | | | |5251. 97 | | | | | |7031. 09 | | | | | |36 | | | | |52 | | | | | |44 | | | | | | | | | | | |3 | | | | | |34 | | | | | | | | | | | | 4805. 72 | | | | | |6462. 8 | | | | | |31 | | | | | |47 | | | | | |44 | | | | | | | | | | | |4 | | | | | |49 | | | | | | | | | | | |5278. 60 | | | | | |7162. 2 | | | | | |46 | | | | | |49 | | | | | |51 | | | | | | | | | | | |2002 – 1 | | | | | |22 | | | | | | | | | | | |5301. 77 | | | | | |7136. 5 | | | | | |43 | | | | | |51 | | | | | |46 | | | | | | | | | | | |2 | | | | | |20 | | | | | | | | | | | |6121. 98 | | | | | |8249. 4 | | | | | |45 | | | | | |59 | | | | | |56 | | | | | | | | | | | |3 | | | | | |31 | | | | | | | | | | | |5416. 63 | | | | | |7244. 79 | | | | | |29 | | | | |55 | | | | | |46 | | | | | | | | | | | |4 | | | | | |51 | | | | | | | | | | | |6552. 89 | | | | | |8718. 1 | | | | | |43 | | | | | |67 | | | | | |48 | | | | | | | | | | | |2003 – 1 | | | | | |16 | | | | | | | | | | | |6352. 93 | | | | | |8494. 2 | | | | | |46 | | | | | |63 | | | | | |51 | | | | | | | | | | | |2 | | | | | |26 | | | | | | | | | | | |6693. 01 | | | | | |8881. 5 | | | | | |55 | | | | | |68 | | | | | |43 | | | | | | | | | | | |3 | | | | | |37 | | | | | | | | | | | |5761. 97 | | | | | |7669. 0 | | | | | |48 | | | | | |58 | | | | | |39 | | | | | | | | | | | |4 | | | | | |48 | | | | | | | | | | | |5419. 50 | | | | | |7265. 38 | | | | |33 | | | | | |54 | | | | | |47 | | | | | | | | | | | |2004 -1 | | | | | |22 | | | | | | | | | | | |5474. 64 | | | | | |7302. 7 | | | | | |35 | | | | | |55 | | | | | |44 | | | | | | | | | | | |2 | | | | | |24 | | | | | | | | | | | |4650. 87 | | | | | |6335. 9 | | | | | |41 | | | | | |42 | | | | | |49 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |4781. 91 | | | | | |6438. 3 | | | | | |48 | | | | | |45 | | | | | |39 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | MULTI-PERIOD EOQ MODEL (Backordering) – NORMAL LEAD-TIME DEMAND | | | | | | | | | | |PROBLEM: |Betsy’s Blue Bonnet Bakery | | | | | | | | | | | | | |Parameter Values: | | | | | | | |Mean of Demand Distribution: mu = | | | | | |1,000 | | | |Stand. Deviation of Demand Distribution: sigma = | | | | |100 | | | |Fixed Cost per Order: k = | | | | | | | |5,000 | | | |Annual Demand Rate: A = | | | | | | | |52,000 | | | |Unit Cost of Procuring an Item: c| |42. 00 | | | |= | | | | | |Annual Holding Cost per Dollar Value: h = |0. 20 | | | |Shortage Cost per Unit: pS = | |10. 0 | | | | | | | | | | |Optimal Values: | | | | | | | |Optimal Order Quantity: Q* = | 7,919 | | | | |Optimal Reorder Point: r* = | 1,114 | | | | |Expected Demand: mu = | 1,000 | | | | |Total Expected Cost: TEC(Q*) = | $ 67,471. 4 | | | | |Expected Shortages: B(r*) = |6. 47 | | | | |Probability of Shortage: P[D;r*] |0. 13 | | | | |= | | | |Betsy’s Blue Bonnet Bakery | | | | | | |? = |0. 3 |? = |0. 5 |? = |0. | | | | | | | | | | | |   |   |Actual |Trend |Slope |Seasonal |Forecast |Error | |Quarter |t |Sales, Yt |Tt |bt |St |Ft | | |2003 W |1 | 36,500 |   |   |   |   | | |1988 S |2 | 43,750 | 36,500. 00 | 7,250. 00 |1. 20 |   | | |1988 S |3 | 59,920 | 48,601. 00 | 9,675. 50 |1. 23 |   | | |1988 F |4 | 87,440 | 67,025. 55 | 14,050. 03 |1. 0 |   | | |2004 W |5 | 102,240 | 87,424. 90 | 17,224. 69 |1. 17 |   | | |1988 S |6 | 123,420 | 104,144. 98 | 16,972. 38 |1. 19 | 125,436. 15 | (2,016. 15) | |1988 S |7 | 139,610 | 118,753. 37 | 15,790. 39 |1. 19 | 149,325. 16 | (9,715. 16) | |1988 F |8 | 135,380 | 125,312. 56 | 11,174. 79 |1. 13 | 175,522. 72 | (40,142. 72) | |2005 W |9 | 129,470 | 128,753. 89 | 7,308. 06 |1. 04 | 159,616. 61 | (30,146. 1) | |1988 S |10 | 137,570 | 129,989. 43 | 4,271. 80 |1. 08 | 161,612. 88 | (24,042. 88) | |1988 S |11 | 156,630 | 133,566. 44 | 3,924. 41 |1. 18 | 159,379. 23 | (2,749. 23) | |1988 F |12 | 150,980 | 136,498. 26 | 3,428. 11 |1. 11 | 154,702. 82 | (3,722. 82) | |2006 W |13 | 143,340 | 139,362. 57 | 3,146. 21 |1. 03 | 145,291. 38 | (1,951. 38) | |1988 S |14 | 153,360 | 142,190. 68 | 2,987. 16 |1. 08 | 154,509. 63 | (1,149. 3) | |1988 S |15 | 169,730 | 144,939. 3 0 | 2,867. 89 |1. 17 | 170,664. 76 | (934. 76) | |1988 F |16 | 161,990 | 147,249. 54 | 2,589. 07 |1. 10 | 164,053. 12 | (2,063. 12) | |2007 W |17 | 154,760 | 149,940. 86 | 2,640. 19 |1. 03 | 154,408. 75 |351. 25 | |1988 S |18 | 164,780 | 152,592. 38 | 2,645. 85 |1. 08 | 164,739. 26 |40. 74 | |1988 S |19 | 186,730 | 156,466. 79 | 3,260. 13 |1. 19 | 181,930. 65 | 4,799. 5 | |1988 F |20 | 177,880 | 160,230. 59 | 3,511. 97 |1. 11 | 176,029. 75 | 1,850. 25 | |2008 W |21 | 170,360 | 164,152. 06 | 3,716. 72 |1. 04 | 168,951. 59 | 1,408. 41 | |1988 S |22 | 178,830 | 167,190. 82 | 3,377. 74 |1. 07 | 181,270. 26 | (2,440. 26) | |1988 S |23 | 195,550 | 168,732. 72 | 2,459. 82 |1. 16 | 202,826. 81 | (7,276. 81) | |1988 F |24 | 187,220 | 170,501. 72 | 2,114. 41 |1. 10 | 189,772. 64 | (2,552. 4) | |2009 W |25 | 163,230 | 168,070. 53 | (158. 39) |0. 98 | 178,936. 82 | (15,706. 82) | |1988 S |26 | 162,890 | 163,137. 87 | (2,545. 53) |1. 01 | 179,944. 64 | (17,054. 64) | |1988 S |27 | 174,540 | 157, 361. 67 | (4,160. 86) |1. 12 | 187,085. 45 | (12,545. 45) | |1988 F |28 | 163,130 | 151,724. 53 | (4,899. 00) |1. 08 | 168,543. 79 | (5,413. 79) | |2010 W |29 | |   | |   | 144,517. 6 | | |1988 S |30 | |   | |   | 143,788. 09 | | |1988 S |31 | |   | |   | 153,515. 48 | | |1988 F |32 |   |   |   |   | 142,720. 95 | | | | | | | | | | | | | | |MSE = |175,943,211 | | | | How to cite Economic Order Quantity and Significant Predictor., Essay examples

Nursing Case Study Management

Question: Identify a situation when you had to be assertive in clinical practice and critically reflective upon this experience. You have to apply a reflective model to aid the critical reflection, we recommend Rolfe et al (2001), but whichever one you choose, remember that it is a framework nly. Answer: Case Scenario A massive road accident had take place in Lakewood Boulevard between two buses which is very near to our nursing home. As a result our Nursing Home campus was fully jammed by the ambulances and there was a pathetic scene where so many injured people were present. I immediately went to the changing room and soon appeared for my duty. As the number of beds of emergency unit of our nursing home is not sufficient to admit all the patients who had heavily injured in the road accident. It soon became very much difficult to combat this situation as the patients were crying and the relatives of the injured patients become uncontrollable as they want to see their relatives ok. So here I just want to discuss the importance of being assertive in nature to combat this horrible situation. Framework Model what? The situation is not under our control and it became bad to worse as the injured people were coming continuously by ambulance and there were so many number of patients relatives there to check there loved ones are ok or not(Rolfe et al. 2001). So what is my role in this situation is that, I went to the patients relatives who were present there and try to talk to them and try to make their calm as they are very much shouting and were aggressive in nature (Berman Snyder, 2012). I tried to convince them to gather in a place where we hang the admitted patients name and also about their present condition (Dinh, et al 2012). I had also told them that the nursing home authority will immediately supply more beds to admit more patients who were badly injured in the accident. On the other hand my duty was to inform the nursing home authority about the actual scenario of the incident and the present condition of the nursing home. So that they could attempt any prompt action. I had told the authority about the emergency and they had soon take the action to supply more beds as per requirements. When I told the relatives and the health workers about the news, they felt somewhat relaxed. But the nursing home authority was not able to fulfil patients requirement on time i.e. it takes a lot of time for supplying the emergency beds. So I, as a responsible nursing student suggested our head to suggest the authority to at least call the neighbour nursing home to send their emergency stuffs and doctors, to get rid of this emergency condition (Rolfe et al. 2001). So what? So I felt very much pressure for this condition and I could see the health workers became very much angry on them as they were continuously shouting and became very much restless. Even I also felt anger on them. But for me the most important thing was then, the patients, who were severely injured by the accident. As a nurse my first duty is towards my patients, and as I have been taught that I have always to be assertive in my working area (Dugan, 2012) I had not to be passive or aggressive in this freaking condition as this is my duty. Actually I have been taught that I have to be decisive in this type of emergencies. Heres what I had meant to be assertive I gave my opinion for the situation to the health workers working there and to the relatives present there. I ask for what they want or need. I also listened others opinion too. If I dont want their decisions I disagree it respectfully. I offered my ideas to the working team. I said no without feeling guilty to them. Management actually was not able to give their best as they did not have the emergency supply and it also took a lot of time. The authority on the basis of my suggestion called the neighbour nursing home for their emergency stuffs and doctors and all kind of medicines. And they had appeared to our nursing home as soon as possible and helped us to overcome this freaking condition. So tasks were distributed on individual basis (Perry, Potter Elkin, 2012). I with some other nurse started to first aid the patients who were mildly injured. Persons who did not show any pulses, CPR (Cardio Pulmonary Resuscitation) and EAR (External Air Resuscitation) had been done on them (Failner, 2011). Persons who cant breathe making them to breathe by clearing their airway (Gooding Furlong, 2002). The other health workers help the severely injured patients to be admitted to the OT (Helmstadter Godden, 2011). In the OT, there were also some nurses to help the doctors (Karch, 2010). At last but not the least some health workers were able to make the patients name list along with their present condition. And soon there was a list of patients who were admitted to the nursing home. Thank God the relatives of patients became calm as soon as they have found their patients name in the list and under the good condition. Healthy and mutual satisfaction of needs in any relationship (that can be between doctors and patients) can only occur between assertive peoples. Assertiveness is an excellent skill for both managing relationships with others and managing relationship with yourself. So here I come, if I had not keep assertiveness at that moment when every relative of patients become restless and uncontrollable and behaving very rude then everything would be unmanageable and going to mess all the thing. But being calm, positive, assertive, confident, decisive, and determined I and my partners, means my co-workers ( everybody including other staff nurse, ward boy, doctors, student nurses and the stuffs of neighbouring nursing home) we came to our success and beat all the difficulties and problems arouses then. Now what? Ultimately our group of health worker achieved a successful result. Actually no patients were dead as all health workers cooperate with each other and made it fruitful. A special mention about to be assertive in nature, as it helps us to understand about the actual need of the condition and how to overcome it. If we did not calm us down then this went to be very worse condition to handle. The nursing home authority apologized to the relatives and made sure them that would never happen as they would soon acquire more emergency beds in their nursing home. As a nurse I felt happy as no patients were dead. And as a human being I have learnt that to be assertive everyone should understand that everyone has a basic requirements and rights and everybody should respect that. Responding passively or aggressively can actually ignore such requirements. More particularly when behaving aggressively the rights are actually abused. On the other hand when it comes to the culture and different human it may vary, as it vary from person to person and culture to culture. Being assertive does not mean that I will get everything in life, which I want to get but assertive people allows other people to wish what they want in life. As in this case I tried to help the patients relatives as well as fulfil my duty as a nurse, and make patients felt relief. But for future perspective and for improvement in future we need special trained health workers with assertive nature to combat this type of situation (Dinh et al, 2012). For a general nursing student it is really very tough to manage all this pressure. But being an assertive natured and trained nurse who has knowledge about this type of situation and how to overcome it and also for assertive nature can actually manage the situation. What Ive learnt from this situation is that Ive to be assertive in any freaking condition. Which can actually help me to overcome the situation. If I or the other health workers could not be assertive then we actually could not overcame the situation. But working together and having faith on each other and being assertive in nature we actually won this horrible condition. I had learned from this incident about the time management in this horrible condition when not only patients but also their relatives become your concern. And actually learned a very good lesson in life, that even in real life we face this type of situation where we lose our temper under some freaking condition which actually make us unhappy, angry, out of control, and even we cant get the solution of our problem (Powers and Knapp, 2012). Being not assertive in nature, people can undergo depression and as we all know that depression can actually make us lose our confidence and self worth (Lindsay, 2002). People not being assertive can actually become very irritable on people around them. So this incident had taught me that if we can be assertive in nature we can actually combat any typical situation in our life. Reference List Bergs, J., Gillet, J. (2012). Comment on a Under-triage as a Significant Factor Affecting Transfer Time between the Emergency Department and the Intensive Care Unit . Journal Of Emergency Nursing, 38(4), 320-321. doi:10.1016/j.jen.2011.09.022 Berman, A., Snyder, S. (2012). Skills in clinical nursing. 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