Survival Models And Mortality Data Health And Social Care Essay

In the old chapter 2, we discussed approximately aggregative claims and how it can be modelled and simulated utilizing R scheduling. In this chapter we shall discourse on one of the of import factors which has direct impact on arise of a claim, the human mortality. Life insurance companies use this factor to pattern hazard originating out of claims. We shall analyze and look into the petroleum informations presented in human mortality database for specific states like Scotland and Sweden and utilize statistical techniques. Mortality smooth bundle is used in smoothing the informations based on Bayesian information standard BIC, a technique used to find smoothing parameter ; we shall besides plot the information. Finally we shall reason by executing comparing of mortality of two states based on clip.3.1 IntroductionMortality informations in simple footings is entering of deceases of species defined in a specific set. This aggregation of informations could change based on different vari ables or sets such as sex, age, old ages, geographical location and existences. In this subdivision we shall utilize human informations grouped based on population of states, sex, ages and old ages. Human mortality in urban states has improved significantly over the past few centuries. This has attributed mostly due to improved criterion of life and national wellness services to the populace, but in latter decennaries there has been enormous betterment in wellness attention in recent steps which has made strong demographic and actuarial deductions. Here we use human mortality informations and analyse mortality tendency compute life tabular arraies and monetary value different rente merchandises.3.2 Beginnings of DatasHuman mortality database ( HMD ) is used to pull out informations related to deceases and exposure. These informations are collected from national statistical offices. In this thesis we shall look into two states Sweden and Scotland informations for specific ages and ol d ages. The information for specific states Sweden and Scotland are downloaded. The deceases and exposure informations is downloaded from HMD under Sverige Scotland They are downloaded and saved as â€Å" .txt † informations files in the several difficult disc under â€Å" /Data/Conutryname_deaths.txt † and â€Å" /Data/Conutryname_exposures.txt † severally. In general the information handiness and formats vary over states and clip. The female and male decease and exposure informations are shared from natural informations. The â€Å" entire † column in the information beginning is calculated utilizing leaden norm based on the comparative size of the two groups male and female at a given clip.3.3 Gompertz jurisprudence graduationA well-known statistician, Benjamin Gompertz observed that over a long period of human life clip, the force of mortality additions geometrically with age. This was modelled for individual twelvemonth of life. The Gompertz theoretical account is additive on the log graduated table. The Gompertz jurisprudence states that â€Å" the mortality rate additions in a geometric patterned advance † . Therefore when decease rates are A & gt ; 0 B & gt ; 1 And the line drive theoretical account is fitted by taking log both sides. = a + bx Where a = and B = The corresponding quadratic theoretical account is given as follows3.3.1 Generalized Linear theoretical accounts are P-Splines in smoothing informationsGeneralized Linear Models ( GLM ) are an extension of the additive theoretical accounts that allows theoretical accounts to be fit to data that follow chance distributions like Poisson, Binomial, and etc. If is the figure of deceases at age ten and is cardinal exposed to put on the line so By maximal likelihood estimation we have and by GLM, follows Poisson distribution denoted by with a + bx We shall utilize P-splines techniques in smoothing the information. As mentioned above the GLM with figure of deceases follows Poisson distribution, we fit a quadratic arrested development utilizing exposure as the beginning parametric quantity. The splines are piecewise multinomials normally cubic and they are joined utilizing the belongings of 2nd derived functions being equal at those points, these articulations are defined as knots to suit informations. It uses B-splines arrested development matrix. A punishment map of order linear or quadratic or three-dimensional is used to punish the irregular behavior of informations by puting a punishment difference. This map is so used in the log likeliness along with smoothing parametric quantity.The equations are maximised to obtain smoothing informations. Larger the value of implies smoother is the map but more aberrance. Therefore, optimum value of is chosen to equilibrate aberrance and theoretical account complexness. is evaluated utilizing assorted techniques such as BIC – Bayesian information standard and AIC – Akaike ‘s information standard techniques. Mortalitysmooth bundle in R implements the techniques mentioned above in smoothing informations, There are different options or picks to smoothen utilizing p-splines, The figure of knots ndx, the grade of p-spine whether additive, quadratic or three-dimensional bdeg and the smoothning parametric quantity lamda. The mortality smooth methods fits a P-spline theoretical account with equally-spaced B-splines along ten There are four possible methods in this bundle to smooth informations, the default value being set is BIC. AIC minimisation is besides available but BIC provides better result for big values. In this thesis, we shall smoothen the informations utilizing default option BIC and utilizing lamda value.3.4 MortalitySmooth Package in R plan executionIn this subdivision we describe the generic execution of utilizing R programming to read deceases and exposure informations from human mortality database and usage MortalitySmooth bundle to smoothen the informations based on p-splines. The undermentioned codification presented below tonss the & gt ; require ( â€Å" MortalitySmooth † ) & gt ; beginning ( â€Å" Programs/Graduation_Methods.r † ) & gt ; Age & lt ; -30:80 ; Year & lt ; – 1959:1999 & gt ; state & lt ; – † Scotland † ; Sex & lt ; – â€Å" Males † & gt ; decease =LoadHMDData ( state, Age, Year, † Deaths † , Sex ) & gt ; exposure =LoadHMDData ( state, Age, Year, † Exposures † , Sex ) & gt ; FilParam.Val & lt ; -40 & gt ; Hmd.SmoothData =SmoothenHMDDataset ( Age, Year, decease, exposure ) & gt ; XAxis & lt ; – Year & gt ; YAxis & lt ; -log ( fitted ( Hmd.SmoothData $ Smoothfit.BIC ) [ Age==FilParam.Val, ] /exposure [ Age==FilParam.Val, ] ) & gt ; plotHMDDataset ( XAxis, log ( decease [ Age==FilParam.Val, ] /exposure [ Age==FilParam.Val, ] ) , MainDesc, Xlab, Ylab, legend.loc ) & gt ; DrawlineHMDDataset ( XAxis, YAxis ) The MortalitySmooth bundle is loaded and the generic execution of methods to put to death graduation smoothening is available in Programs/Graduation_Methods.r. The measure by measure description of the codification is explained below.Step:1 Load Human Mortality informationMethod NameLoadHMDDataDescriptionReturn an object of Matrix type which is a mxn dimension with m stand foring figure of Ages and n stand foring figure of old ages. This object is specifically formatted to be used in Mortality2Dsmooth map.ExecutionLoadHMDData ( Country, Age, Year, Type, Sex )ArgumentsCountry Name of the state for which information to be loaded. If state is â€Å" Denmark † , † Sweden † , † Switzerland † or â€Å" Japan † the SelectHMDData map of MortalitySmooth bundle is called internally. Age Vector for the figure of rows defined in the matrix object. There must be atleast one value. Year Vector for the figure of columns defined in the matrix object. There must be atleast one value. Type A value which specifies the type of informations to be loaded from Human mortality database. It can take values as â€Å" Deaths † or â€Å" Exposures † Sexual activity An optional filter value based on which information is loaded into the matrix object. It can take values â€Å" Males † , â€Å" Females † and â€Å" Entire † . Default value being â€Å" Entire †DetailssThe method LoadHMDData in â€Å" Programs/Graduation_Methods.r † reads the informations availale in the directory Data to lade deceases or exposure for the given parametric quantities. The informations can be filtered based on Country, Age, Year, Type based on Deaths or Exposures and in conclusion by Sexual activity.Figure: 3.1 Format of matrix objects Death and Exposure.The Figure 3.1 shows the format used in objects Death and Exposure to hive away informations. A matrix object stand foring Age in rows and Old ages in column. The MortalitySmooth bundle contains certain characteristics for specific states listed in the bundle. They are Denmark, Switzerland, Sweden and Japan. These informations for these states can be straight accessed by a predefined map SelectHMDData. LoadHMDData map checks the value of the variable state and if Country is equal to any of the 4 states mentioned in the mortalitysmooth bundle so SelectHMDData method is internally called or else customized generic map is called to return the objects. The return objects format in both maps remains precisely the same.Measure 2: Smoothen HMD DatasetMethod NameSmoothenHMDDatasetDescriptionReturn a list of smoothened object based BIC and Lamda of matrix object type which is a mxn dimension with m stand foring figure of Ages and n stand foring figure of old ages. This object is specifically formatted to be used in Mortality2Dsmooth map. Tax returns a list of objects of type Mort2Dsmooth which is a planar P-splines smooth of the input informations and order fixed to be default. These objects are customized for mortality informations merely. Smoothfit.BIC and Smoothfit.fitLAM objects are returned along with fitBIC.Data fitted values. SmoothenHMDDataset ( Xaxis, YAxis, ZAxis, Offset.Param )ArgumentsXaxis Vector for the abscissa of informations used in the map Mortality2Dsmooth in MortalitySmooth bundle in R. Here Age vector is value of XAxis. Yaxis Vector for the ordinate of informations used in the map Mortality2Dsmooth in MortalitySmooth bundle in R. Here Year vector is value of YAxis. .ZAxis Matrix Count response used in the map Mortality2Dsmooth in MortalitySmooth bundle in R. Here Death is the matrix object value for ZAxis and dimensions of ZAxis must match to the length of XAxis and YAxis. Offset.Param A Matrix with anterior known values to be included in the additive forecaster during suiting the 2d informations. Here exposure is the matrix object value and is the additive forecaster.Detailss.The method SmoothenHMDDataset in â€Å" Programs/Graduation_Methods.r † smoothens the informations based on the decease and exposure objects loaded as defined above in measure 1. The Age, twelvemonth and decease are loaded as x-axis, y-axis and z-axis severally with exposure as the beginning parametric quantity. These parametric quantities are internally fitted in Mortality2Dsmooth map available in MortalitySmooth bundle in smoothing the information.Step3: secret plan the smoothened informations based on user inputMethod NamePlotHMDDatasetDescriptionPlot the smoothed object with the several axis, fable, axis graduated table inside informations are machine rifles customized based on user inputs.ExecutionPlotHMDDataset ( Xaxis, YAxis, MainDesc, Xlab, Ylab, legend.loc, legend.Val, Plot.Type, Ylim )ArgumentsXaxis Vector for plotting X axis value. Here the value would be Age or Year based on user petition. Yaxis Vector for plotting X axis value. Here the value would be Smoothened log mortality valleies filtered for a peculiar Age or Year. MainDesc Main inside informations depicting about the secret plan. Xlab X axis label. Ylab Y axis label. legend.loc A customized location of fable. It can take values â€Å" topright † , † topleft † legend.Val A customized fable description inside informations – it can take vector values of type twine. Val, Plot.Type An optional value to alter secret plan type. Here default value is equal to default value set in the secret plan. If value =1, so figure with line is plotted Ylim An optional value to put the tallness of the Y axis, by default takes max value of vector Y values.DetailssThe generic method PlotHMDDataset in â€Å" Programs/Graduation_Methods.r † plots the smoothed fitted mortality values with an option to custom-make based on user inputs. The generic method DrawlineHMDDataset in â€Å" Programs/Graduation_Methods.r † plots the line. Normally called after PlotHMDDataset method.3.5 Graphic representation of smoothened mortality informations.In this subdivision we shall look into graphical representation of mortality informations for selected states Scotland and Sweden. The generic plan discussed in old subdivision 3.4 is used to implement the secret plan based on customized user inputs. Log mortality of smoothed informations v.s existent tantrum for Sweden. Figure 3.3 Left panel: – Plot of Year v.s log ( Mortality ) for Sweden based on age 40 and twelvemonth from 1945 to 2005. The points represent existent informations and ruddy and bluish curves represent smoothed fitted curves for BIC and Lamda =10000 severally. Right panel: – Plot of Age v.s log ( Mortality ) for Sweden based on twelvemonth 1995 and age from 30 to 90. The points represent existent informations red and bluish curves represent smoothed fitted curves for BIC and Lamda =10000 severally. Log mortality of smoothed informations v.s existent tantrum for Scotland Figure 3.4 Left panel: – Plot of Year v.s log ( Mortality ) for Scotland based on age 40 and twelvemonth from 1945 to 2005. The points represent existent informations and ruddy and bluish curves represent smoothed fitted curves for BIC and Lamda =10000 severally. Right panel: – Plot of Age v.s log ( Mortality ) for Scotland based on twelvemonth 1995 and age from 30 to 90. The points represent existent informations red and bluish curves represent smoothed fitted curves for BIC and Lamda =10000 severally. Log mortality of Females Vs Males for Sweden The Figure 3.5 given below represents the mortality rate for males and females in Sweden for age wise and twelvemonth wise. 3.5 Left panel reveals that the mortality of male is more than the female over the old ages and has been a sudden addition of male mortality from mid 1960 ‘s boulder clay late 1970 ‘s for male – The life anticipation for Sweden male in 1960 is 71.24 V 74.92 for adult females and it had been increasing for adult females to 77.06 and merely 72.2 for male in the following decennary which explains the tendency. Figure 3.5 Left panel: – Plot of Year v.s log ( Mortality ) for Sweden based on age 40 and twelvemonth from 1945 to 2005. The ruddy and bluish points represent existent informations for males and females severally and ruddy and bluish curves represent smoothed fitted curves for BIC males and females severally. Right panel: – Plot of Age v.s log ( Mortality ) for Sweden based on twelvemonth 2000 and age from 25 to 90. The ruddy and bluish points represent existent informations for males and females severally and ruddy and bluish curves represent smoothed fitted curves for BIC males and females severally. The Figure 3.5 represents the mortality rate for males and females in Sweden for age wise and twelvemonth wise. 3.5 Left panel reveals that the mortality of male is more than the female over the old ages and has been a sudden addition of male mortality from mid 1960 ‘s boulder clay late 1970 ‘s for male – The life anticipation for Sweden male in 1960 is 71.24 V 74.92 for adult females and it had been increasing for adult females to 77.06 and merely 72.2 for male in the following decennary which explains the tendency. The 3.5 Right panel shows the male mortality is more than the female mortality for the twelvemonth 1995, The sex ratio for male to female is 1.06 at birth and has been systematically diminishing to 1.03 during 15-64 and.79 over 65 and above clearly explicating the tendency for Sweden mortality rate addition in males is more than in females. Log mortality of Females Vs Males for Scotland Figure 3.6 Left panel: – Plot of Year v.s log ( Mortality ) for Scotland based on age 40 and twelvemonth from 1945 to 2005. The ruddy and bluish points represent existent informations for males and females severally and ruddy and bluish curves represent smoothed fitted curves for BIC males and females severally. Right panel: – Plot of Age v.s log ( Mortality ) for Scotland based on twelvemonth 2000 and age from 25 to 90. The ruddy and bluish points represent existent informations for males and females severally and ruddy and bluish curves represent smoothed fitted curves for BIC males and females severally. The figure 3.6 Left panel describes consistent dip in mortality rates but there has been a steady addition in mortality rates of male over female for a long period get downing mid 1950 ‘s and has been steadily increasing for people of age 40 years.The 3.6 Right panel shows the male mortality is more than the female mortality for the twelvemonth 1995, The sex ratio for male to female is 1.04 at birth and has been systematically diminishing to.94 during 15-64 and.88 over 65 and above clearly explicating the tendency for Scotland mortality rate addition in males is more than in females. hypertext transfer protocol: //en.wikipedia.org/wiki/Demography_of_Scotland.Log mortality of Scotland Vs Sweden Figure 3.7 Left panel: – Plot of Year v.s log ( Mortality ) for states Sweden and Scotland based on age 40 and twelvemonth from 1945 to 2005. The ruddy and bluish points represent existent informations for Sweden and Scotland severally and ruddy and bluish curves represent smoothed fitted curves for BIC Sweden and Scotland severally. Right panel: – Plot of Year v.s log ( Mortality ) for states Sweden and Scotland based on twelvemonth 2000 and age from 25 to 90. The ruddy and bluish points represent existent informations for Sweden and Scotland severally and ruddy and bluish curves represent smoothed fitted curves for BIC Sweden and Scotland severally. The figure 3.7 Left Panel shows that the mortality rates for Scotland are more than Sweden and there has been consistent lessening in mortality rates for Sweden get downing mid 1970 ‘s where as Scotland mortality rates though decreased for a period started to demo upward tendency, this could be attributed due to alter in life conditions.

Fluke, or, I Know Why the Winged Whale Sings Chapter 35~36

CHAPTER THIRTY-FIVE Yeah, but You Can't Dance to It The Colonel was standing in the middle of the mother-of-pearl amphitheater when the whaley boys led Nate in. â€Å"You two go on now,† the Colonel said to the whaley boys. â€Å"Nate can find his way back.† â€Å"You came out of your lair,† Nate said. The Colonel looked older, more drawn than when Nate had seen him before. â€Å"I don't want to be in contact with the Goo for what I'm going to tell you.† â€Å"I thought it didn't get information that way,† Nate said. The Colonel ignored him. â€Å"I was hoping you would have had a brainstorm to solve my problem, Nate, but you haven't, have you?† â€Å"I'm working on it. It's more complex –  » â€Å"You've been distracted. I'm disappointed, but I understand. She's a piece of work, isn't she? And I mean that in the best sense of the word. Never forget that I chose to send her to you.† Nate wondered how much the Colonel knew about them and how he knew it. Reports from the whaley boys? From the Goo itself, through osmosis or some extended nervous system? â€Å"Distraction has nothing to do with it. I've thought a lot about your problem, and I'm not sure I agree with you. What makes you think the Goo is going to destroy humanity?† â€Å"It's a matter of time. That's all. I need you to carry a message for me, Nate. You'll be responsible for saving the human race. That should go some measure toward consoling you.† â€Å"Colonel, is there any chance you can be more direct, less cryptic, and tell me for once what the hell you're talking about?† â€Å"I want you to go to the U.S. Navy. They need to know about the threat of the Goo. One well-placed nuclear torpedo should do it. It's deep enough that they shouldn't have any problem justifying it to other countries. There won't be any fallout. They're just going to need someone credible to convince them of the threat. You.† â€Å"What about the people down here? I thought you wanted to save them.† â€Å"I'm afraid they're going to be a necessary sacrifice, Nate. What are five thousand or so people, most of whom have lived longer than they would have on the surface, compared with the whole human race, six billion?† â€Å"You crazy bastard! I'm not going to try to convince the navy to nuke five thousand people and all the whaley boys as well. And you're more deluded than I thought if you think they'd do it on my word.† â€Å"Oh, I don't expect that. I expect they'll send down their own research team to confirm what you tell them, but when they get here, I'll see to it that they get the message that the Goo is a threat. In any case you'll survive.† â€Å"I think you're wrong about the Goo finding us dangerous. And even if you were right, what if it just decides to wait us out? On the Goo's time scale, it can just take a nap until we're extinct. I'm not doing it.† â€Å"I'm sorry you feel that way, Nate. I guess I'll have to find another way.† Nate suddenly realized that he'd blown it – his chance to escape. Once he was outside Gooville, there would have been nothing to force him to do what the Colonel wanted. Or maybe there would be. Right then he wanted very badly to see Amy. â€Å"Look, Colonel, maybe I can do something. Couldn't you just evacuate Gooville? Drop all the people on an island. Let the whaley boys find somewhere else to live. I mean, if I reveal the Goo to the world, it's all sort of going to be out of the bag anyway. I mean –  » â€Å"I'm sorry, Nate, I don't believe you. I'll take care of it. Evacuation wouldn't make any difference to the people here anyway. And the whaley boys shouldn't exist in the first place. They're an abomination.† â€Å"An abomination? That's not the scientist I knew talking.† â€Å"Oh, I admit that they are fabulous creatures, but they would have never evolved naturally. They are a product of this war, and their purpose has been served. As has mine, as has yours. I'm sorry we didn't see eye to eye on this. Go now.† Just like that, this crazy bastard was going to plan B, and Nate had no idea how to stop him. Maybe that was what he was really brought here for. Maybe the Colonel was like someone who makes a suicide attempt as a cry for help, rather than an earnest attempt to end his life. And Nate had missed it. He started to back away from the Colonel, desperately trying to think of something he could say to change the situation, but nothing was coming to him. When he reached the passageway, the Colonel called out to him from the steps by the giant iris. â€Å"Nate. I promised you, and you deserve to know.† Nate turned and came a few steps back into the room. The Colonel smiled, a sad smile, resolved. â€Å"It's a prayer, Nate. The humpback song is a prayer to the source, to their god. The song is in praise of and in thanks to the Goo.† Nate considered it. A life's work contemplating a question, and this was the answer? No way. â€Å"Why only male singers, then?† â€Å"Well, they're males. They're praying for sex, too, aren't they? The females choose the mates – they don't need to ask.† â€Å"There's no way to prove that,† Nate said. â€Å"And no one to prove it to, Nate, not down here, but it's the truth. Whale song was the first culture, the first art on this planet, and, like most of human art, it celebrates that which is greater than the artist. And the Goo likes it, Nate, it likes it.† â€Å"I don't believe it. There's no evolutionary pressure for it to be prayer.† â€Å"It's a meme, Nate, not a gene. The song is learned behavior, not passed by birth. It has its own agenda: to be replicated, imitated. And it was reinforced. Have you ever seen a starved humpback, Nate?† Nate thought about it. He'd seen sick animals, and injured animals, but he'd never seen a starved humpback. Nor had he ever heard of one. The Colonel must have seen something in Nate's reaction. â€Å"There's your reinforcement. The Goo looks after them, Nate. It likes the song. I wouldn't be surprised if all of whale evolution – size, for instance – was accelerated by the Goo. We should have never started killing them. We wouldn't be at this juncture if we hadn't killed them.† â€Å"But we've stopped,† was all that Nate could think to say. â€Å"Too late,† the Colonel said with a sigh. â€Å"Our mistake was getting the Goo's attention. Now it has to end. The gene has had its three and a half billion years as the driving force of life. I suppose now the meme will have its turn. You and I will never know. Good-bye, Nate.† The iris opened, and the Colonel walked into the Goo. Nate ran all the way home, not sure how he had navigated through the labyrinth of tunnels, but found his way without having to backtrack. Amy wasn't at his apartment. His pulse was throbbing in his temples as he approached the buzzy, bug-winged speaky thing to try to call her, but he decided instead to go directly to her on foot. He checked at her place, and then at her mother's, then at every place they'd ever been together. Not only was Amy gone, but no one had seen her mother either. Nate slept fitfully, tortured by the notion of what the Colonel might have done to Amy because of his own stubbornness. In the morning he went searching for her again, asking everyone he encountered, including the whaley boys by the bakery, but no one had seen her. On the second day he went back through the corridors to the Colonel's mother-of-pearl amphitheater and pounded on the giant black iris until his fists were bruised. There was no response but a dull thud that echoed in the huge empty chamber. â€Å"I'll do what you want, Ryder!† Nate screamed. â€Å"Don't hurt her, you crazy fuck! I'll do what you want. I'll bring the navy down on this place and sterilize it, if that's what you want – just give her back.† When at last he gave up, he turned and slid down the iris facing the amphitheater. There were six killer-whale-colored whaley boys standing in the passageway opposite him, watching. They weren't grinning or snickering for once – just watching him. The largest of them, a female, let loose a quick whistle, and they crossed the amphitheater, walking in a crescent-shaped hunting formation toward him. Short of being a professional surfer or a bong test pilot for the Rastafarian air force, Kona thought he had found the perfect job. He sat in a comfortable chair watching sound spectrograms scroll across one computer monitor, while on another a program picked out the digital sequence in the subsonic signal and broke it into text. All Kona had to do was watch for something meaningful to come across the screen. Strange thing was, he really had started to learn about spectrographs and waveforms and all manner of whale behavior, and he was meeting the day feeling as if he was really doing something. He ran his hand over his scalp and shuddered as he read the nonsense text that was scrolling across the window. Auntie Clair had bought him four forties of Old English 800 malt liquor, then waited until he'd drunk them, before persuading him to let her cut his dreads down so they matched on both sides (because his true natural state should be one of balance, she said. She was tricky, Auntie Clair). The problem was, in jail his dreads had been almost completely torn off on one side, so by the time she finished evening things out, he was pretty much bald. Out of deference to his religious beliefs (to allow him a reservoir for his abundant strength in Jah, mon), Clair had left him a single dread anchored low on the back of his head, which made it look as if a fat worm was exiting his skull after a hearty meal of brain cells in ganja sauce. And speaking of the sacred herb, Kona was just on the verge of sparking up a bubbling smoky scuba snack of the dankest and skunkingish nugs when the text scrolling across the screen ceased being nonsense and started being important. He took a quick sip of bong water to steady his nerves, placed the sacred vessel on the floor at his feet, then hit the key that sent the streaming text to the printer. He stood and waited, bouncing on the balls of his feet for the printer to expectorate three sheets of text, then snatched the pages and dashed out the door to Clay's cabin. â€Å"I must be out of my mind,† Clay said. His suitcase was on the bed, and he was taking clothes out of the drawers and putting them into the case, while Clair was taking clothes out of the case, grouping them by a precise system he would never understand, and replacing them in the suitcase so that he would never find anything until he returned home and she helped him unpack. They had done this a lot. â€Å"I must be nuts,† Clay said. â€Å"I can't just go wandering around the oceans randomly looking for a lost friend. I'll look like that little bird in the book, the one that walks around asking everyone, ‘Are you my mother? ; â€Å"Sartre's Being and Nothingness?† Clair offered. â€Å"Right. That's the one. It's ridiculous to even leave port until we have something to go on – steaming around, burning up fifty gallons of fuel an hour. The Old Broad may have money stashed, but she doesn't have that kind of money.† â€Å"Well, maybe something will turn up in the whale calls.† â€Å"I hope. Libby and Margaret have a lot of sonic data streaming in from Newport, but it's still like looking for a needle in a haystack. Clair, she saw guys climbing into a whale –  » â€Å"So, baby, what's the worst that happens? You go to sea and do your best to find Nate and you fail? How many people ever did their best at anything? You can always sell the ship later. Where is it now anyway?† Just then the screen door fired back on its hinges and smacked against the outside wall with the report of a rifle shot. Kona came tumbling through the door waving pages of copy paper as if they were white flags and he was surrendering to everyone in the general Maui area. â€Å"Bwana Clay!† Kona threw the pages down on Clay's suitcase. â€Å"It's the Snowy Biscuit!† Clay picked up the pages, looked at them quickly, and handed one to Clair. Over and over the message was repeated: 41.93625S__76.17328W__-623__CLAY U R NOT NUTS__AMY Clay looked at Kona. â€Å"This was imbedded in the whale song.† â€Å"Yah, mon. Blue whale, I think. Just came in.† â€Å"Go back and see if there's more. And find the big world map. It's in the storeroom somewhere.† â€Å"Aye, aye,† said Kona, who had begun to speak much more nautically since Clay had purchased the ship, making his bid to go along on the voyage to search for Nate. He ran back to the office. â€Å"You think it's from Amy?† Clair said. â€Å"I think it's either from Amy or from someone who knows everything about what we're doing, which means it would have to be someone Amy talked to.† â€Å"What are the numbers?† â€Å"A longitude and a latitude. I'll have to look at the map, but it's somewhere in the South Pacific.† â€Å"I know it's a longitude and a latitude, Clay, but what's the minus six hundred and some?† â€Å"It's where pilots usually express altitude.† â€Å"But it's a minus.† â€Å"Yep.† Clay snatched the phone off of his night table and dialed the Old Broad as Clair looked quizzically at him. â€Å"Equipment change,† he whispered to Clair, covering the receiver with his hand. â€Å"Hello, Elizabeth, yes, things are going really well. Yes, they've picked up considerably. Yes. Look, I hate to ask this – I know you've done so much – but I may need one other little thing before we go to look for Nate and your James.† Clair shook her head at Clay's blatant playing of the missing-husband-shoved-up-a-whale's-bum card. â€Å"Yes, well, it may be a little expensive,† Clay continued. â€Å"But I'm going to need a submarine. No, a small submarine will be fine. If you want it to be yellow, Elizabeth, we'll paint it yellow.† After fifteen minutes of cajoling and consoling the Old Broad, making calls to Libby Quinn and the ship broker in Singapore (who offered him a quantity discount if he bought more than three ships in one month), Clay stood over a world map that was roughly the size of a Ping-Pong table, which Kona had spread out over the office floor, pinning the corners down with coffee cups. â€Å"It's right there, off the coast of Chile,† Clair said. She taught fourth-graders, and therefore basic world geography, so she could read a map like nobody's business. Kona placed a bottle cap on the spot where Clair was pointing. â€Å"We'll need nautical charts and the ship's GPS to be exact, but, basically, yep, that's where it is.† He looked at Kona. â€Å"Nothing else since that message?† â€Å"Same thing for five minutes, then just normal whale gibberish. You think the Snowy Biscuit is with Nate?† â€Å"I think she knew me well enough to know that I'd be thinking I was crazy to be looking. I also think that even if I believe the Old Broad's story about her husband, that doesn't explain how Amy was able to stay down for an hour on fifteen minutes' worth of air, so there was something going on with her that could be connected to this weirdness. She obviously knows more than we know, but – most important – we have nowhere else to look.† Kona looked at Clair, as if maybe she would answer his question. She nodded, and he resumed drinking his beer. Clay got down on his hands and knees on the map. â€Å"The ship broker says there's a deepwater three-man sub here, in Chuuk, Micronesia, that's about to finish up with some filming they're doing of deep shipwrecks.† Kona put a bottle cap on the atoll of Chuuk, Micronesia. â€Å"The owners will let me lease it for up to two months, but then a research team has it reserved for a deepwater survey in the Indian Ocean. The Clair is here, just north of Samoa.† Clay pointed. Kona put a third bottle cap just north of Samoa and did his best to drink off that beer while balancing the other two that he'd opened to get the caps. â€Å"So the Clair can probably be in Chuuk in three days. I'll fly in and meet them, pick up the sub, and then we can probably steam to these co-ordinates in four or five days if we cruise at top speed,† Clay said. â€Å"Now we're here –  » â€Å"We can't be, we can't be there,† said Kona. â€Å"Why not?† â€Å"Out of beers.† â€Å"So you get to that spot. Then what?† Clair asked. â€Å"Then I get in a submarine and see what there is to see six hundred and twenty-three feet down.† â€Å"So we're sure it's feet, not meters?† â€Å"No. I'm not sure.† â€Å"Well, I just want you to know that I am not comfortable with you doing this sort of thing, Clay.† â€Å"But I've always done this sort of thing. I sort of do this sort of thing for a living.† â€Å"So what's your point?† Clair asked. CHAPTER THIRTY-SIX Black and White and Red All Over Once, off the coast of California, Nate had followed a pod of killer whales as they attacked a mother gray whale and her calf. They first approached in formation to separate the calf from the mother, and then, as one group broke from the pod to keep the mother busy, the others took turns leaping upon the calf's back to drown it – even as the mother thrashed her great tail and circled back, trying to protect her calf. The whole hunt had taken more than six hours, and when it ended, finally, the killer whales took turns hitting the exhausted calf, keeping in a perfect formation even as they ripped great chunks of flesh from its still-living body. Now, in the amphitheater, as the killer whaley boys approached – their teeth flashing, the breath from their blowholes puffing like steam engines – the biologist thought that he was probably experiencing exactly what that gray-whale calf had during that gruesome hunt. Except, of course, that Nate was wearing sneakers , and gray whales almost never did. It was a big room. He had space to move. He just had to get around them. His sneakers squeaked on the floor as he came down the steps, faked right, then went left at a full sprint. The whaley boys, while amazingly agile in the water, were somewhat clumsy on land. Half of them fell for the fake so badly that they'd need a postcard to tell them how it all came out. They stooged into a whaley pile near the steps. The remaining three pursuers tried to fan out into a new formation, the alpha female coming the closest to getting between Nate and the exit. Nate was running in a wide arc around the amphitheater now, and by virtue of sheer speed he could tell he'd beat at least two of the remaining killers, but the alpha female was going to intersect with him before he got clear. She probably weighed three times what he did, so there was no going though her with a vicious body check. Maybe if he'd been on skates, he'd have tried it: pit his pure, innate Canadian skating force against her paltry cetacean hunting instinct and drive that bitch to the mother of pearl. But there were no skates, no ice, so at the very last second, as the female was about to slam him in a bone-breaking crunch against one of the benches that lined the walls, Nate pulled a spin fake, a move that was much more Boitano than Gretzky but nevertheless sent the big female tumbling over a bench in a tangle of black-and-white and i vory – like a flaccid piano botching the vaulting horse. Nate high-stepped the last twenty yards to the door, thinking, Yeah, three million years of walking upright not for nothing. Rookie. Meat. About the third step into his jubilation, Nate heard the sound of a great expulsion of air from his right, then a wet splat. Suddenly he saw his sneakers waving before his face. He felt the freedom of weightlessness, the exhilaration of flight, and then it was all gone as he slammed to the floor, knocking the wind out of himself. He slid to a stop in the huge loogie of whale spit that one of the trailing males had expectorated at his feet. Had he been able to breathe, he might have called a foul, but instead he struggled to get to his feet as the two males closed on him, showing dagger-toothed grins as they approached. Oh, my God, they're going to eat me! he thought, but then he saw that they both had unsheathed their long pink penises and were leading with a sort of a pelvic thrust. Oh, my God, they're going to fuck me! he thought. But when they got to him, one picked him up by the arms and bent him over forward, and he felt the great teeth scraping his scalp as his head slipped int o the whaley boy's mouth. No, they're definitely going to eat me, Nate thought. And in that suspension of time, right before the final crunch, amid the slow motion of an infinite last moment, clarity came to him, even as he screamed, and he thought, This is probably not going to go as well as the last time I was eaten. There's probably not going to be a girl at the end of this one. And then the female whistled shrilly, and the male stopped biting down just as his teeth were starting to cut into Nate's cheeks. The biting male pulled back and apologetically wiped saliva and blood from Nate's face, then propped him up and fluffed him a little, as if to show that he was good as new. Nate was still being held fast by the other male, but the biter was grinning sheepishly at the alpha female and making a squeaking noise that Nate, even with his limited understanding of whaleyspeak, understood as meaning â€Å"oops.† A half hour later they threw him into his apartment, and the alpha female grinned at him as she tore the stainless-steel doorknob out of the wall. The wall bled for a while after she left, then clotted over and rapidly began to heal. Nate stumbled into his bathroom and looked at himself in the mirror. There were bloody gashes down his forehead and cheeks. In another place and time, he realized, he would have gone to the emergency room to get stitched up. His hair was matted with blood, and he could feel at least four deep dents in his scalp where the whaley boy's teeth had broken the skin. There was a large knot at the back of his head where he'd hit the floor when he fell, and evidently he'd hit an elbow, too, because every time he bent his right arm, a sharp, biting pain shot all the way down to his fingertips. He pulled off his bloodstained clothes and climbed into the shower. Then, ignoring the strange fixtures that usually gave him pause, he leaned against the shower walls and let the water run over him until the bloody crust was gone from his hair and his fingers had shriveled with the moisture. He dried himself, then collapsed into his bed, wishing for a last time before he fell asleep that Amy was there, safe, next to him. He slept deeply and dreamed of a time when all the oceans were filled with a single living organism, wrapped like a cocoon around a single huge land mass. And in his dream he could feel the texture of every shore as if it were pressed against his skin. Nate awoke in the early hours before light came up in the grotto. He went into his living room and sat in the dark by the big oval picture window that looked out over the street and, ultimately, the Gooville harbor. There were shapes out there moving in the dark. Every now and then he'd catch the reflection of some dim light on a whaley boy's skin, but mostly he could tell they were out there by the sonar clicks that echoed around the grotto and by the low, trilling whistles of whaley-boy conversation. After an hour sitting there in the dark, he padded to the door and tried to open it. There was nothing but a smooth scar where the doorknob had been. The seal around the door was so tight it might have been part of the walls that framed it. In trying to work his fingers into the doorjamb, he realized that his elbow wasn't grating as it had been when he went to bed. He reached up to touch the gashes across his forehead and felt the scab flake away as easily and painlessly as dry skin. He immediately went to the bathroom and looked at himself in the mirror under the bright yellow bioluminescence. The gashes were healed. Completely healed. He brushed away the dried blood that had seeped after his shower to find new, healthy skin. It was the same with the dents in his scalp and the great goose egg at the base of his skull. He didn't even have a sore spot. He returned to the living room, fell into the chair by the window, and watched the light come up in the grotto. Outside, there was a lot of movement in the street and the harbor, and, watching it, Nate started to feel sick to his stomach, despite his miraculous healing. All the movement outside was that of whaley boys. There wasn't a single human out there anywhere. For two days he didn't see any other humans in Gooville, and even when he had screwed up his courage to use the buzzy, bug-winged speaky thing on the wall, he realized that he had no idea how to make it connect. By noon on the third day, he decided that he had to get out of the apartment. Not only couldn't he find Amy or do anything else while in here, but he was rapidly running out of food. He reasoned that the best time to make a break for it was in the middle of the day, when it seemed that the number of whaley boys out on the street was sparsest, because so many of them went down to the water at that time to swim. He dressed in long pants and sleeves for protection, then made the first attempt at the window. He tore one of the bone chairs from the floor in the kitchen, wiggling it first, as if loosening a baby tooth. He cast the chair at the center of the window with all his strength, preparing as he did to make the ten-foot leap to the street when it went though. But it didn't. It bounced back into the room. Next he looked for something sharp to try to puncture the window, but the only thing he could come up with were shards of the mirror in the bathroom, and although the mirror spider-webbed when he struck it, his fist wrapped in a towel, the shards stayed adhered to the bathroom wall, so all he'd really done was create a shiny mosaic. Finally, frustrated after three hours of ineffective attacks on the big window, he decided to hit it with the heaviest thing in the apartment: his body. He backed into the bedroom, sped through the living room, leaped into the air about halfway across, curled into a ball, and braced for impact. The window bulged out about three feet, until it appeared to the whaley boys outside that someone inside was trying to blow a giant bubble, and then it sprang back, trampolining Nate across the room into the far wall. At the bottom of the wall someone had installed a couch for just such an emergency, and Nate slid neatly into it with his newly flattened side down. â€Å"Well, that was just stupid,† he said aloud. â€Å"Boy, that was stupid,† Cielle Nuà ±ez said. She came into the living room and sat in a chair across from where Nate was piled onto the couch. â€Å"You want to tell me what in the hell you started?† â€Å"How did you get in? The knob is gone.† â€Å"Not on the outside. Come on, Nate, what did you do? Every human in Gooville has been locked down for the last three days. If I weren't the captain of a whale ship, I wouldn't have been able to come here either.† â€Å"I didn't do anything, Cielle, honestly. Where's Amy?† â€Å"No one knows. Believe me, that was the first place they went.† â€Å"Who?† â€Å"Who do you think? The whaley boys. They've taken over everything. Humans aren't even allowed near the ships. Ever since some of them heard you yelling about bringing the navy down here.† â€Å"I was. He has Amy, Cielle. I was just trying to get her back.† â€Å"Him? The Colonel? Why would he take Amy? She's one of the few who've ever even seen him. She's a favorite.† â€Å"Yeah, well no one is his favorite now.† Right then Nate made a decision. He wasn't going to get out of this place on his own, and the only person he could even consider an ally was sitting right there in front of him. â€Å"Cielle, the reason the Colonel called your ships back, the reason no one is allowed to leave the harbor, is that he wants you all here when the place comes down. He's got some plan to get the U.S. Navy, or somebody's navy, to attack Gooville with a nuclear torpedo. He thinks that the Goo is going to destroy the human race if he doesn't destroy it first. He wanted me to go to the navy. He thought I could convince them of the threat because of my scientific credibility, but I said no. That's when he took Amy.† â€Å"So all that yelling I heard you doing in the amphitheater – that wasn't you talking about bringing the navy here, that was just you trying to get Amy back?† â€Å"Yes. He's a loon, Cielle. I don't have any interest in bringing this place down. He thinks that there's some grand war going on between memes and genes, and that humans and the Goo are on opposite sides of it.† The whale-ship captain stood and nodded as if confirming something to herself. â€Å"Okay, then. That's what I needed to know. That's why he sent me here. I'll try to get them to send you some food.† â€Å"What? Help me get out of here.† Nate suddenly had a very bad feeling about this whole exchange. â€Å"I'm sorry, Nate. They have Cal. The whaley boys have him. You know how that feels. They told me I had to find out if you were plotting against the Colonel. Thank you for telling me. I think they'll let him go now.† She walked to the door, and Nate followed her. â€Å"Get me out of here, Cielle, at least –  » â€Å"Nate, there's nowhere to go. The only way out of here is a whale ship, and whaley-boy pilots are the only ones who can run them. They've been on notice not to let you on since we got here. Right now I couldn't leave if I wanted to.† She pounded on the door. â€Å"Open!† The door clicked open, and two all-black whaley boys stood outside waiting. They caught Nate by the shoulders and threw him back into the apartment as he tried to rush by them. â€Å"My own crew, Nate,† Cielle said. â€Å"See what you've done.† â€Å"He's going to kill you all, Cielle. Don't you see that? He's crazy.† â€Å"I don't believe you, Nate. I think you're the crazy one.† The door slammed shut. Back at Papa Lani, Clay was doing a final check on the equipment he was taking with him to meet his new ship. Diving and camera equipment lay spread out across the office floor. Kona was going through the checklist on the clipboard with a felt-tip pen. â€Å"So you tink the Snowy Biscuit going to be there?† â€Å"I'm going. I just wish that we could answer her. Tell her I'm on my way.† â€Å"You mean, like, put the digital in the whale sound and send it?† â€Å"Yeah, I know, we can't do it. Did you find a canister of soda lime for the rebreather's CO2 scrubbers?† â€Å"I can do that.† Kona held up the canister Clay was looking for and checked it off the list. â€Å"You can?† â€Å"I been looking at it long time. She not that hard to put that message back in the call. But how you going to send it? You need some gi-grandious big speakers under the water, mon. We don't have nothing like dat.† Clay stopped his inventory and pulled Kona's clipboard down so he could see his eyes. â€Å"You can put a message into the waveform so it would come out the same way we've been taking it out?† Kona nodded. â€Å"Show me,† Clay said. He went to the computer. Kona took the chair and pulled up a low-frequency waveform that looked like a jagged comb, and then he hit a button that took a small section and expanded it, which smoothed out the jags. â€Å"See, this part here. We know this a letter B, right? We just cut it and paste with other letters, make a goofy whale call. I got the all the letters but a Q and a Z figured.† â€Å"Don't explain, just do it. Here.† Clay scribbled a short message in the margin of Kona's checklist. â€Å"Then play it for me.† â€Å"I can play, but you won't hear it. It's subsonic, brah. Like I say, you going need some thumpin' speakers to send it. You know where we can steal some?† â€Å"We might not have to steal them.† While Kona pieced together the message, Clay grabbed the phone off his desk and dialed Cliff Hyland. The biologist answered on the second ring. â€Å"Cliff, Clay Demodocus. I need a favor from you. That big sonar rig of yours, will it broadcast subsonic frequencies?†¦ Good, I need you to take us out on your boat tonight, with your rig.† Kona looked at Clay. Clay grinned and raised his eyebrows. â€Å"No, it has to be tonight. I'm flying out for Chuuk in the morning. If I need to send out a signal, what can I plug in to it? Tape, disk recorder, what? Anything with a pre-amp?† Clay covered the receiver with his hand. â€Å"Can you put it on an audio disk?† â€Å"No problems,† Kona said. â€Å"No problem,† Clay said into the phone. â€Å"We'll meet you at the harbor at ten, okay?† Clay waited. He was listening, pacing in a little circle behind the surfer. â€Å"Yeah, well, we were just talking about that, Cliff, and we figured that if you said no, we'd just have to steal your boat and your rig. I could probably figure out how the rig works, right?† There was another pause and Clay held the phone away from his ear. Kona could hear an irritated voice coming out of the earpiece. â€Å"Because we're friends, Cliff, that's why I'd tell you in advance that I was going to steal your boat. Jeez, you think I'd just steal it like some stranger? All right, then, we'll see you at ten o'clock.† He hung up the phone. â€Å"Okay, kid, get this right. We have to have it ready and to the harbor by ten.† â€Å"But what you gonna do the bad guys get it?† â€Å"Even if they do, only Amy will know what it means,† Clay said. â€Å"Cool runnings, brah.† Kona was concentrating on putting the message together, his tongue curled out the corner of his mouth as an antenna for focus. Clay leaned over his shoulder and watched the waveform come together on the screen. â€Å"How did you figure this out, kid? I mean, it doesn't seem like you.† â€Å"How's a man supposed to work his science dub wid you yammerin' like a rummed-up monkey?† â€Å"Sorry,† Clay said, making a mental note to give the kid a raise if any of this actually worked.

A View of Prejudice as Described in Lorraine Hansberry’s Play, A Raisin In The Sun

A View of Prejudice as Described in Lorraine Hansberry’s Play, A Raisin In The Sun A Raisin in the Sun A raisin in the sun is a play about an African American family that is going to receive an inheritance because of a death in the family. In this play their is sexism, racism, and many other cultural differences that we might not have been able to see if we were not in the minority until this play. The African American family in this play is the Younger family there are five youngers living in one small apartment. I think the most important family member is Mama, she is the glue to the whole family and keeps everyone in line. Then theres Walter lee Younger which is mamas son he works as a chauffeur and thinks he is head of the household. Walters wifes name is Ruth she usually minds her own business more than the rest of the family. Mamas daughters name is Beneatha younger she is an aspiring doctor and she knows she can do it even with her being an African American woman. Then theres the youngest which you do not really hear a lot about he is walter and ruths son his name is travis all he wants to do is have a real house. A Raisin in the Sun is a play about the Younger family and it is based in the 1950s while racism and sexism were still taken very serious by many. The Youngers are about to receive an insurance check for ten-thousand dollars which was a lot back in the 1950s. they are receiving this check because Mr. Younger mamas husband died and left them money to take care of themselves because he worked until the day he died. Everyone in the younger family want something different out of the inheritance money. Mama wants to buy a house where her family will not have to struggle anymore. Mamas son walter wants to buy a liquor store with his friends so he can give the family everything they need. Beneatha who wants to become a doctor wants the money to go towards her schooling so she can help people and prove everyone wrong. Ruth and Travis do not really want anything specific but, everyone to be happy. Ruth finds out that she is pregnant with walters second child which they dont have any room for and beenie says â€Å"where is he going to sleep the roof† and ruth gets sad and almost passes out. this shows that they are all under a lot of stress and ruth feels guilty for having another baby. While mama and beenie know about the baby walter doesnt find out until later when beenies friend from africa comes over and they go in the room. Beneatha has a friend from africa bring her things from his homeland so she feels like she is finding her true self which is saying that she doesnt know who she really is and she is supposed to be the one with the strong mind on her shoulders. When the inheritance arrives walter is has a nervous breakdown and leaves the house for a week or so and mama goes looking for him. mama doesnt like seeing her son sad so she eventually ends up giving walter half the money saying to put two thousand in a bank account for bennie his younger sisters schooling and to keep the rest for himself. the money that mama gave walter never gets put into a bank account and ends up getting stolen by his friend Willy Harris.Walter never gets to accomplish his dream of having a liquor store. Meanwhile when walter was losing over half of the inheritance money mama is buying a house that will fit their needs, is in a good neighborhood, and is in her budget. The house that she picks isnt in an African American neighborhood and so she gets a visit from the welcoming committee. A man named Mr. Karl Linder is the welcoming committee and at first the Youngers think he is a nice man and that he wants to help but, then they find out that he only wants to pay them off to not live in the white neighborhood. the white man says that he doesnt want to ruin the block with how much the people who live their work for what they have by â€Å"certain kind of people moving in†. This causes the Youngers to become closer and move in to the new house. Throughout the play their are times that i wondered why would or rather how could people be so set on ruining other peoples lives. I grew up with many different raced people around me throughout my life so i will never fully understand the thought process of racist people. The Youngers seem to be portrayed as hard working people and they want whats best for their family it doesnt make a difference what color they are i would of still watched it the same with no judgement. Racism in the housing industry has been peppered with racism even up into modern times. The racism that is in the housing industry today are not only Towards African Americans its hispanics, whites, and any race. White people can be put out of their house by hispanics that are in gangs and even by other white people throughout the united states. But, most of the racism is pointed toward hispanics and how everyone thinks if you are colored you need to be a gang member of if you dress a certain way you are a gang member. We see it everyday on the news how police officers are even racist and arrest people for no reason. No one knows it happens in the communities also. I have seen people get shot of badly hurt by people that are supposedly protecting their community, Everyone is a victim of some kind of racism in their life even when we are younger. I do not think that people should not feel safe in their own home because of neighborhood racism. In the CBS news Ilyce Glink says Although weve come a long way from blatant, in-your-face housing injustice, racial discrimination still exists, said HUD Secretary Shaun Donovan. Just because its become less obvious doesnt mean that its less harmful. This statement is completely true many people die because of community racism. Racism in A Raisin in the Sun is almost sickening to most people and i hope that more people see this play to help spread the word about how African American people were treated in the 1950s. Racism is still alive today through communities that want one color out of their neighborhood which is not right either. I hope people eventually learn how not to be racist.

Honda show Essay Example | Topics and Well Written Essays - 500 words

Honda show - Essay Example Honda as well produces motorcycles like as the Foresight, Super Cub and Shadow 750 (Ledderhos, 2003).To carry the deal of its products, Honda gives retail lending along with leasing to clientele and indiscriminate finance to dealers via the finance auxiliary in Japan, Canada, and the United States, the United Kingdom, Brazil, Germany, Thailand and other nations To formulate their sales and marketing strategies, Honda gathers information about the level of satisfaction is in terms of availability of resources, temperature, and condition of weather for largely for the South Asian Markets and satisfaction of end users. For the last few years, Honda had a major focus on the growth is in European as well as American nations (Berger, 2011). The car design does not require any noteworthy changes in their stipulation but when the growth site changes some approach is required purposely implemented so as to suite just the South Asian market. The means of the basic work is same only some changes needed to be done in terms of fuel economy, braking system and steering system, weight, safety, size, friction tolerate means, friction plummeting method and on the whole product look (Mito, 2012). A sales person that Honda looks for should have the following personal and professional qualities:An Energetic along with strong people with selling skills; A goal-oriented team player who has a drive in addition to discipline to achieve something; An outstanding communication skills, email, face-to-face and on the phone; Client service centered and Strong together with digital apparatus. Honda uses Self-reviews method for performance evaluation basing on the idea that sales person are the most familiar with their duties and that their participation is important (Mito, 2012). The sales team rate themselves on some criteria, typically with an official survey form, and proposes improvements. They

Recession Essay Example | Topics and Well Written Essays - 500 words

Recession - Essay Example Inflation is the general rise in the prices of goods and services over a certain period of time. Higher rates of inflation lead to smaller percentages of goods and services that can be purchased with same amount of money. Inflation occurs due to reasons like varied increment in cost production, national debts, and high energy costs (Knoop 69). During inflation periods, people cut out leisure spending, the overall spending and begin saving more than before. As individuals and businesses curtail expenditures, the GDP declines. Unemployment rates, on the other hand, rise as companies lay off employees to cut costs (Knoop 99). These combinations of factors cause the economy to fall into recession. In the last few years, the US have been in a recession. The issue was experienced in 2008 after the irrational exuberance in the housing market had directed most people to purchase houses they could not afford. This happened because everyone thought the prices of housing were likely to increase. Unfortunately, the bubble busted in 2006 as the housing prices started coming down (Knoop 104). The shock caught many homeowners who had taken loans with little money to purchase houses unaware. After realizing they were likely to experience losses by selling houses for less than their mortgage, they foreclosed. The shoot up foreclosure rate made most banks and hedge funds to panic. Consequently, those who had bought mortgage-backed securities on the secondary market began realizing they were facing massive losses. Banks began fearing to lend each other by 2007 due to the urge to evade the toxic loans as collateral. What followed was the $700 billion bail out and high unemployment rate in 20 08. The economic stimulus plan was launched in 2009 by the US government to spend $185 billion (Knoop 213). It led to alteration of four quarter decline in GDP by Q3 in the same year hence ending the recession. However, high unemployment rates persisted up to 2011

Have the welfare reforms enacted since the 1980s been successful in Essay

Have the welfare reforms enacted since the 1980s been successful in achieving their goals - Essay Example However, some decades later, the program was blamed for creating a dependent culture. This encouraged the government to institute reforms on the welfare sector. This paper will look at major achievements and challenges of welfare reforms since the 1980s. The Need for Reforms in Welfare Sector To the beneficiaries, the financial benefits derived from public welfare programs were better than most low paying jobs. Hence, most people preferred to remain covered by the welfare program than be employed. On the contrary, many people felt that there was a need for the government to continue providing welfare assistance since most of the beneficiaries were children under the Aid to Families with Dependant Children (AFDC) (Wax 2009). Under this program, families were living under comfort of assured of federal support. However, the new reforms on welfare have changed this situation by eliminating the guarantee. The choice of who to benefit from the welfare program in most countries depends on t he intended goal of a specific program. In basic terms, the main aim of major welfare programs is to get the target individuals out of poverty by making them self-reliant and thereby lead a better life. ... ility and Work Opportunity Reconciliation Act (PROWRA) of 1996 takes credit for helping reduce the number of people who are dependent on welfare (Grogger & Karoly 2005). Second, the reform removed the control of the welfare system from the hands of federal government and passed it to state governments. Third, the reform set some minimal requirements that a state has to meet in order to benefit from welfare services. The reforms saw the federal government give out welfare support in a flat rate on the basis of the population in the state. This succeeded in encouraging people to look for work as a way of lessening dependence on state welfare. The achievements of Personal Responsibility and Work opportunity Act reform were strengthened by the Temporary Reward for Needy Families (TANF) program. TANF replaced the AFDC which gave support to all needy families with needy children (Martin 2011). TANF required state governments to encourage the people to search for employment while receiving welfare assistance. This was the first time in the history of the welfare approach for the government to impose requirements to states and beneficiaries. The assistance was also limited to five years of a family’s lifetime. As a result, there has been a 60 percent reduction in welfare dependency due to rise in employment levels. However, the perceived reduction in caseload in 1990s due to the reforms is challenged to be as a result of strong economic growth in the economy of United States. Strong economy meant people were able to find better paying jobs, and hence become less reliant on welfare funds. Increase in Employment and Income of Single Mothers Even though the critics of early reforms had predicted dire consequences primarily to the single unemployed mothers, they stood to witness

International Law Essay Example | Topics and Well Written Essays - 2500 words - 1

International Law - Essay Example Senegal has ratified the U.N. Convention against Torture and Other Cruel, Inhuman or Degrading Treatment or Punishment, and is obligated under its provisions to either prosecute or extradite Hebrà © (aut dedere aut prosequi).3 However, such obligation does not require Senegal to extradite Habre specifically to Belgium. Recent conventions and state practice has embraced a duty not to extradite persons that face seriously discriminatory applications of criminal law authority. This limitation on the duty to extradite is incorporated in both the European Terrorism Convention4 and the United Nations Terrorist Financing Convention5: â€Å"Nothing in this Convention shall be interpreted as imposing an obligation to extradite†¦if the requested State Party has substantial grounds for believing that the request for extradition†¦has been made for the purpose of prosecuting or punishing a person on account of that persons race, religion, nationality, ethnic origin or political opinio n or that compliance with the request would cause prejudice to that persons position for any of these reasons.† Thus, an individual does not face fair criminal prosecution where relevant forms of discrimination result in selective prosecution.6 Such emergent exceptions to extradition should also be automatically incorporated in Article 1(F)(b) of the Convention relating to the Status of Refugees.7 Belgium as well as the Western World has shown a persistent practice of discrimination against Africans and to some extent Latin Americans so far as prosecution for crimes against humanity are concerned. While Belgium has readily prosecuted or initiated investigations against Africans accused of crimes against humanity, in March 2003, when at the behest of family members of civilians killed in the 1991 Gulf War, Belgian prosecutors launched an investigation of former President George H.W. Bush,