Memory Management Strategies

ITCS 343 Opera-ng System Principles Memory Management Strategies Virtualizing Resources †¢? Physical Reality: Di? erent Processes/Threads share a similar equipment â€? Need to mul-plex CPU (Just ?nished: planning) â€? Need to mul-plex utilization of Memory (Today) â€? Need to mul-plex plate and gadgets (later in term) â€? The total working condition of a procedure as well as portion is de? ned by its information in memory (and registers) â€? Thusly, can't simply let di? erent strings of control utilize a similar memory â€? Presumably don’t need di? erent strings to try and approach each other’s memory (protec-on) †¢?Physics: two di? erent bits of information can't possess the equivalent loca-ons in memory †¢? Why stress over memory sharing? Memory Hierarchy of a Modern Computer System †¢? Exploit the standard of territory to: â€? Present as much memory as in the least expensive innovation â€? Give access at speed o? ered by th e quickest innovation Processor Control Second Level Cache (SRAM) Main Memory (DRAM) Secondary Storage (Disk) Tertiary Storage (Tape) On-Chip Cache Registers 1s 100s Datapath Speed (ns): Size (bytes): 10s- ­? 100s Ks- ­? Ms 100s Ms 10,000,000s 10,000,000,000s (10s ms) (10s sec) Gs Ts Background ? Program must be brought (from plate) into memory and set inside a procedure for it to be run †¢? CPU can get to legitimately to registers and principle memory â€? Register access in one CPU clock (or less) â€? Principle memory can take numerous cycles †¢? Store sits between principle memory and CPU registers -  ­? to lessen CPU inactive .me and make the accessible information quicker to get to. †¢? Protec-on of memory guarantees right show on â€? to secure the show. ng framework from access by client forms and, â€? to shield client forms from each other. â€? One straightforward implementa. on is through base and cutoff registers Mulâ€â ­? stepProcessi ng of a Program for Execu-on †¢? Prepara-on of a program for execu-on includes segments at: †¢? Addresses can be bound to ?nal values anyplace in this way †¢? Dynamic Libraries â€? Arrange - me (I. e. â€Å"gcc†) â€? Connection/Load - me (unix â€Å"ld† does interface) â€? Execu-on - me (e. g. dynamic libs) â€? Relies upon equipment support â€? Likewise relies upon drama ng framework â€? Connecting delayed un-l execu-on â€? Little bit of code, stub, used to find the proper memory- ­? occupant library rou-ne â€? Stub replaces itself with the location of the rou-ne, and executes rou-ne Mulâ€â ­? step Processing of a Program or Execu-on †¢? Client programs experience a few stages before having the option to run. †¢? This mulâ€â ­? step preparing of the program summons †¢? The proper u-lity (the square shape) †¢? Creates the necessary module at each progression (the circle) †¢? Essentially, it is abo ut tie †address mapping. Authoritative of Instruc9ons and Data to Memory †¢? Address authoritative of instruc-ons and information to memory locations can occur at three di? erent stages â€? Gather 9me: If memory loca-on known from the earlier, outright code can be produced; must recompile code if star-ng loca-on changes â€? Burden 9me: Must produce relocatable tribute if memory loca-on isn't known at arrange - me â€? Execu9on 9me: Binding deferred un-l run - me if the procedure can be moved during its execu-on starting with one memory portion then onto the next. Need equipment support for address maps (e. g. , base and cutoff registers) †¢? Controlled cover: †¢? Address Type: â€? Separate condition of strings ought not crash in physical memory. Clearly, sudden cover causes disorder! â€? On the other hand, might want the capacity to cover when wanted (for communica-on) â€? A physical (outright) address is a physical loca-on in fundamental memory. â€? A consistent (virtual) address is an eference to a memory loca-on that is autonomous of the physical organiza-on of memory. â€? All memory references in client process are consistent locations. â€? A rela-ve address is a case of consistent location where the location is communicated as a loca-on rela-ve to some known point in the program (ex: the starting location). †¢? Transla-on: †¢? Protec-on: â€? Capacity to decipher gets to from one location space (virtual) to a di? erent one (physical) â€? When transla-on exists, processor utilizes virtual locations, physical memory utilizes physical locations â€? Side e? ects: Can be utilized to keep away from overlap,Can be utilized to give uniform perspective on memory to programs â€? Forestall access to private memory of different procedures †¢? Di? erent pages of memory can be given uncommon conduct (Read Only, Invisible to client programs, and so forth). †¢? Portion information shielded from User programs †¢? Projects shielded from themselves Base and Limit Registers †¢? Each procedure has a different memory space (coherent/client address space). †¢? A couple of base and cutoff registers de? ne the intelligent location space â€? base register holds the littlest lawful physical location â€? limit register speci? es the size of the scope of a procedure †¢? Could se base/limit for dynamic location transla9on (oBen called â€Å"segmenta9on†): â€? Adjust address of each heap/store by including â€Å"base† â€? Client permitted to peruse/compose inside portion  »? Gets to are rela9ve to section so don’t must be moved when program moved to di? erent section â€? Client may have mul9ple fragments accessible (e. g x86)  »? Loads and stores incorporate fragment ID in opcode: x86 Example: mov [es:bx],ax.  »? Opera9ng framework moves around fragment base pointers as important Mul-programming †¢? Issue: Run mul-ple app lica-ons so that they are shielded from each other †¢? Objectives: â€?Isolate procedures and piece from each other â€? Permit ?exible transla-on that: †¢? Doesn’t lead to fragmenta-on †¢? Permits simple sharing between forms †¢? Permits just piece of procedure to be occupant in physical memory †¢? (A portion of the required) Hardware Mechanisms: â€? General Address Transla-on â€? Double Mode Opera-on †¢? Adaptable: Can ?t physical lumps of memory into self-assertive places in clients address space †¢? Not constrained to modest number of portions †¢? Think about this as giving an enormous number (a large number of) ?xed- ­? measured fragments (called â€Å"pages†) †¢? Protec-on base including piece/client dis-nc-on

La bodas de Sangre - Blood weeding (federico Lorca) & Blood weeding Essay

La bodas de Sangre - Blood weeding (federico Lorca) and Blood weeding Film (Carlos Saura) - Essay Example Concerning Leonardo as the dim waterway shows respect and life-passing as the association is genuinely clear when the Bride alludes to the lethal power of the dim stream as opposed to the â€Å"little bit of water. The â€Å"little bit of water represents the Bridegroom from which she sought after kids. Imagery that in the film, the orange blooms that the lady of the hour wore were phony and waxy which represented the phony society wherein she lived. In the film the lady of the hour wears the phony orange blooms to her wedding as it represents her adjustment to the general public in right around a taunting way.â This goes along with the dark dress she wears for the wedding, as though representing her misery and bitterness at proceeding with the weddingâ when she truly cherishes Leonardo. The verses motivation of the play comes full circle in the film, where the subjects of respect and energy are caught up in the topic of death that which incomprehensibly is life. The play of twofold viewpoint of death that are recommended in the double sign as death is supposed to be an Old Woman requesting for an outside of bread. In another picture Death is supposed to be white confronted and the moon aching forever and looking for in the demise of the men is represented by a heart, the peak of the fire, and red blood for his cheeks. The service of setting up the Bride in the congregation and the celebrations going before the passage of the Bride and Groom in to the marriage chamber. The two verses utilize the recognizable image of a bloom, branch, and stream and both make obvious another string of image that is to get unmistakable as the subjects of pride and energy push toward their definitive goals in the topic of death. The image of fire is upgraded as it is connected with respect also energy and passing. The pony in the Lullaby is to be related to Leonardo’s pony and his injuries with the destiny of Leonardo is shown by the activity going with the tune.

Can Antidepressants Make You Feel Worse

Can Antidepressants Make You Feel Worse Depression Treatment Medication Print Can Antidepressants Make You Feel Worse? By Nancy Schimelpfening Nancy Schimelpfening, MS is the administrator for the non-profit depression support group Depression Sanctuary. Nancy has a lifetime of experience with depression, experiencing firsthand how devastating this illness can be. Learn about our editorial policy Nancy Schimelpfening Medically reviewed by Medically reviewed by Steven Gans, MD on May 11, 2016 Steven Gans, MD is board-certified in psychiatry and is an active supervisor, teacher, and mentor at Massachusetts General Hospital. Learn about our Medical Review Board Steven Gans, MD Updated on February 04, 2020 Depression Overview Types Symptoms Causes & Risk Factors Diagnosis Treatment Coping ADA & Your Rights Depression in Kids Rob Julia Campbell/Stocksy United While antidepressants are quite effective at relieving depression,?? it is possible that some patientsâ€"in particular, young peopleâ€"may temporarily feel worse when they first begin taking an antidepressant or when they make changes in their dosage. Black Box Warning In October 2004, the U.S. Federal Drug Administration (FDA) issued what is known as a black-box warning?? stating that certain antidepressants, when used in young people 24 years old and under, could increase their risk for suicidal thoughts and behaviors. However, the FDA noted that there was no association found between antidepressant use and suicidal thoughts and behaviors in adults over the age of 24. In addition, antidepressants actually appeared to reduce the risk in adults aged 65 and older. This black box warning,?? which is the most serious type of warning that can be issued regarding a prescription medication, was ordered following a thorough review of all available clinical trials, including unpublished ones, regarding the use of antidepressants in children and adolescents. The study?? included a total of 24 short-term trials of nine different antidepressants used in over 4,400 child and adolescent patients. In addition, there were 295 short-term trials of 11 different antidepressants involving 77,000 adult patients. While the risk of suicidality varied between drugs, the pattern of seeing increased suicidality in young people remained true for almost all drugs studied. It should be noted that no suicides actually occurred among the young people studied. Although there were some suicides among the adults studied, the numbers were too few for any conclusions to be drawn about whether the antidepressants used were a causal factor. It must be borne in mind that depression is also a known risk factor for suicide and cannot be ruled out in these cases. The black box warning further suggests that patients of all ages should be monitored closely when they begin treatment with an antidepressant. They should be watched for any signs of worsening depression, increased suicidality, or changes in behavior. In addition, families and other caregivers should be instructed to contact the patients physician or another appropriate medical professional in the event that any problems occur. What to Watch For In particular, the FDA recommends that a healthcare provider be contacted if youâ€"or a person who you are caring forâ€"experience any of the following:?? Thoughts of suicide or deathSuicide attemptsNew or worsening depressionNew or worsening anxietyNew or worsening irritabilityFeelings of agitation or restlessnessPanic attacksProblems with sleepingAggression, anger or violenceImpulsivenessExtreme increases in activity or talking (signs of mania)Any other unusual changes in mood or behavior While a black box warning might cause some to feel concerned, they should be aware that the benefits to be obtained from treating depression with an antidepressant greatly outweigh the risks in the majority of cases. Untreated depression is quite serious and is much more likely to lead to suicide than is an antidepressant. The warning is simply provided so that people can be aware of this potential effect and take appropriate measures to get help if they do begin to feel worse.

Definition of Stump Speech

Stump speech is a term used today to describe a candidates standard speech, delivered day after day during a typical political campaign. But in the 19th century, the phrase held a much more colorful meaning. The  phrase became firmly established in the early decades of the 1800s, and stump speeches got their name for a good reason: they would often be delivered by candidates who literally stood atop a tree stump. Stump speeches caught on along the American frontier, and there are numerous examples where politicians were said to be stumping for themselves or for other candidates. A reference book in the 1840s defined the terms to stump and stump speech. And by the 1850s newspaper articles from around the United States often referred to a candidate taking to the stump. The ability to give an effective stump speech was considered an essential political skill. And notable 19th-century politicians, including Henry Clay, Abraham Lincoln, and Stephen Douglas, were respected for their skills as stump speakers. Vintage Definition of Stump Speech The tradition of stump speeches became so well-established that A Dictionary of Americanisms, a reference book published in 1848, defined the term To stump: To Stump. To stump it or take the stump. A phrase signifying to make electioneering speeches. The 1848 dictionary also mentioned to stump it was a phrase borrowed from the backwoods, as it referred to speaking from atop a tree stump. The idea of linking stump speeches to the backwoods seems obvious, as the use of a tree stump as an improvised stage would naturally refer to a location where land was still being cleared. And the idea that stump speeches were essentially a rural event led to candidates in cities sometimes using the term in a mocking manner. The Style of 19th Century Stump Speeches Refined politicians in the cities may have looked down on stump speeches. But out in the countryside, and especially along the frontier, stump speeches appreciated for their rough and rustic character. They were free-wheeling performances that were different in content and tone from the more polite and sophisticated political discourse heard in the cities. At times the speech-making would be an all-day affair, complete with food and barrels of beer. The rollicking stump speeches of the early 1800s would typically contain boasts, jokes, or insults directed at opponents. A Dictionary of Americanisms quoted a memoir of the frontier published in 1843: Some very good stump speeches are delivered from a table, a chair, a whiskey barrel, and the like. Sometimes we make the best stump speeches on horseback. John Reynolds, who served as governor of Illinois in the 1830s, wrote a memoir in which he fondly recalled giving stump speeches in the late 1820s. Reynolds described the political ritual: Addresses known as stump-speeches received their name, and much of their celebrity, in Kentucky, where that mode of electioneering was carried to great perfection by the great orators of that state. A large tree is cut down in the forest, so that the shade may be enjoyed, and the stump is cut smooth on the top for the speaker to stand on. Sometimes, I have seen steps cut in them for the convenience of mounting them. Sometimes seats are prepared, but more frequently the audience enjoys the luxury of the green grass to sit and lie on. A book on the Lincoln-Douglas Debates published nearly a century ago recalled the heyday of stump speaking on the frontier, and how it was viewed as something of a sport, with opposing speakers engaging in spirited competition: A good stump speaker could always attract a crowd, and a wit combat between two speakers representing opposite parties was a real holiday of sport. It is true that the jokes and counterstrokes were often feeble attempts, and not very far removed from vulgarity; but the stronger the blows the better they were liked, and the more personal, the more enjoyable they were. Abraham Lincoln Possessed Skills as a Stump Speaker Before he faced Abraham Lincoln in the legendary 1858 contest for a U.S. Senate seat, Stephen Douglas expressed concern about Lincolns reputation. As Douglas put it: I shall have my hands full. He is the strong man of the party — full of wit, facts, dates — and the best stump speaker, with his droll ways and dry jokes, in the West. Lincolns reputation had been earned early. A classic story about Lincoln described an incident the occurred on the stump when he was 27 years old and still living in New Salem, Illinois. Riding into Springfield, Illinois, to give a stump speech on behalf of the Whig Party in the 1836 elections, Lincoln heard about a local politician, George Forquer, who had switched from Whig to Democrat. Forquer had been generously rewarded, as part of the Spoils System of the Jackson administration, with a lucrative government job. Forquer had built an impressive new house, the first house in Springfield to have a lightning rod. That afternoon Lincoln delivered his speech for the Whigs, and then Forquer stood to speak for the Democrats. He attacked Lincoln, making sarcastic remarks about Lincolns youth. Given the chance to respond, Lincoln said: I am not so young in years as I am in the tricks and trades of a politician. But, live long or die young, I would rather die now, than, like the gentleman, — at this point Lincoln pointed at Forquer — change my politics, and with the change receive an office worth three thousand dollars a year. And then feel obliged to erect a lightning rod over my house to protect a guilty conscience from an offended God. From that day forward Lincoln was respected as a devastating stump speaker.

Effects Of Piracy On The Motion Picture Industry - 880 Words

From the moment consumers were able to use the internet to get music, software, and movies, piracy has had serious financial implications on the motion picture industry. Copyright protection presents some difficulty in illegally obtaining movies but there are many avenues around most of these systems. The RIAA, or Recording Industry Association of America, has tried several legal ploys to prevent people from accessing this material but many consumers continue to access it with little concern. Much like the music industry, which was challenged to reinvent its distribution model, the movie industry has to do the same thing. To counter the amount of piracy the movie studios must develop new systems for content delivery including streaming new release movies at home. First, the current system of forcing consumers to go to a movie theater is no longer desirable for many. Entertainment seekers can now get almost instantaneous access to desired content whether it’s music or movi es via streaming services like Netflix. These services exist due to the demand for them and to satiate the desire for content when and where the customer wants it. While my generation patiently grew up waiting for Thursday night for The Cosby Show the current generation is not oriented around content on a television or at a specific date and time. As this younger generation becomes paying customers their desires will have to be considered with all delivery based decisions. To decrease the desireShow MoreRelated Peer to Peer Piracy and the Film Industry Essay944 Words   |  4 PagesPeer Piracy and the Film Industry Introduction Each day an estimated 400,000 films exchange hands through the Internet. Movie piracy, once reserved to pirate syndicates and illegal duplication factories, has become a common staple among college students with high-speed internet access. 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Vietnam A Lower Middle Income Country Of The East Asia ...

Vietnam is considered to be a lower middle income country in the East Asia Pacific region. As of February of 2016, Vietnam has a population of 94.08 and is 1.27% of the total world population. Vietnam’s economy has been growing since 1990 through free trade and programs to develop the economy. The country is transitioning from a developing, agrarian economy to one more urban and industrialized. The country hopes to expand their contributions to the global marketplace from low cost labor and agricultural products to more innovative and higher valued products and services. In 2015, exports were 89.8% of the country’s GDP, while imports were 89% of GDP (WorldBank). To compare, exports were just 36% of GDP and imports were 45.3% in 1990. The currency of Vietnam is the Vietnamese Dong. Currently, one U.S dollar is equal to 22, 291.57 Vietnamese Dongs, or 1 Vietnamese Dong is equal to 0.000045 of a U.S Dollar. 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Comparing the Spanish and English Colonies in the New World Territories of the 17th Century Essay Example For Students

Comparing the Spanish and English Colonies in the New World Territories of the 17th Century Essay The Spanish settlements in the American Southwest and the English colonies in New England of the seventeenth century can be contrasted in primarily two ways. First, their politics were based on entirely different ruling classes and systems of government. Second, they employed different avenues of economic development. The Spanish settlements began with Cortes and others conquering the Native Americans of South, Central, and parts of Southwestern North America. After eradicating a large portion of the Native American population, the Spanish began to intermarry into the Native American gene pool. Consequently, only portions of the population were pureblooded Spaniards. These Spaniards occupied the highest social and political status. Those from Spain were one step above those born in the New World while those of mixed or Indian heritage were at the bottom of the social ladder. Additionally, because the Spanish came as conquerors, the resulting political system was entirely autocratic and solely devoted to the furthering of the motherland. Immediately after conquering the Native Americans, the Spanish looted large amounts of gold, silver, and other valuables. This tradition continued into the seventeenth century as Spanish ships would come annually to bring gold and other valuables back to Spain. In this way, Spain viewed Spanish America as an object useful only for its mercantilist objectives. Since mercantilism was its only objective, Spain gave its colonies little self-rule. Instead, Spanish rulers dictated all the policies of its New World territories. The English, on the other hand, settled relatively peacefully into the Eastern Seaboard of North America. Englishmen migrated to the New World not as conquerors but rather because they wanted independence, political freedom, and economic opportunity. Combined with Englands tradition of partial representation, the English Colonies had a large degree of self-government. The colonies all had some form of a representative assembly that was voted in by popular support. While only white male landowners could vote, this still constituted some degree of democracy. In some colonies, even the governors were decided by popular vote. Also, many of the British colonies, such as Virginia, were established by joint stock companies or established as proprietary colonies, such as Pennsylvania. Even royal colonies were often simply colonies given a royal charter but still established by a group of people not directly affiliated

Love Song Of Prufrock Essays - Chapbooks, , Term Papers

Love Song Of Prufrock In his poem "The Love Song of J. Alfred Prufrock," Eliot explores the timeless issues of love and self-awareness - popular themes in literature. However, through his use of Prufrock's profound self-consciousness he skews the reader's expectations of a "Love Song" and takes a serious perspective on the subject of love, which many authors do, but few can create characters as deep and multi-layered as Prufrock; probably the reason that this poem still remains, arguably, Eliot's most famous. The beginning of the poem is pre-empted by an excerpt from Dante's Inferno which Eliot uses to create the poem's serious tone, but also to begin his exploration of Prufrock's self-consciousness. By inserting this quote, a parallel is created between Prufrock and the speaker, Guido da Montefeltro, who is very aware of his position in "hell" and his personal situation concerning the fate of his life. Prufrock feels much the same way, but his hell and the fate of his life are more in his own mind and have less to do with the people around him. The issue of his fate leads Prufrock to an "overwhelming question..."(10) which is never identified, asked, or answered in the poem. This "question" is associated somehow to his psyche, but both its ambiguity to the reader and Prufrock's denial to even ask "What is it?"(11) gives some insight into his state of internal turmoil and inability to reason. Prufrock's dissatisfaction in his personal appearance is one, but not the most important of his idiosyncrasies. Not only is he unhappy with the nature of his appearance, having "To Prepare a face to meet the faces that you meet;" but he is fearful of what others will have to say about him: "(They will say: ?How his hair is growing thin!')"(41) and "(... ?But how his arms and legs are thin!')"(44). Prufrock is insecure and frightened of peoples' reactions to his balding head and slim, aging body. Unfortunately, his lack of confidence isn't limited to his looks. Prufrock has difficulty communicating with people - not surprising considering his extreme lack of confidence in his appearance. He's indecisive and unsuccessful in his attempts to communicate with other people, repeating "visions and revisions"(33) and "decisions and revisions..."(48). Eliot uses repetition here to emphasize the concept of Prufrock's alterations in behavior - whether he does change his behavior or not is another issue... most likely he doesn't because he also repeats the question "?Do I dare?' and, ?Do I dare?'"(38). Possibly, he's asking if he should dare "and drop a question on your plate;"(30) meaning one of his "dares" could be something that he'd like to ask a woman but can't; he also asks "Do I dare/ Disturb the universe?"(45-46). In this case Eliot uses hyperbole to give the reader the impression of the seriousness of Prufrock's insecurities - they are his whole "universe." However, this is only one explanation where there are a number of possibilities. Once again, Eliot uses the device of ambiguity to reflect the internal struggle in Prufrock and lead the reader to ask themselves again "What is the ?overwhelming question' that Prufrock is asking?" Unfortunately even Prufrock himself doesn't have the answer... even recognizing the issue itself is beyond the simplicity of his mind, which he confesses by saying "I am no prophet- and here's no great matter;"(84). By downplaying the importance of the issue, Prufrock echoes his lack of self-worth. In fact, to Prufrock, the issue is extremely important - the fate of his life depends on it. His declaration that he isn't a prophet indicates Prufrock's view on his position in society, which he is as confused about as everything else. To interject a little history: Eliot wrote this poem during a time in which social customs, especially in Europe, were still a very important issue. There were basically two classes - rich and poor, neither of which Prufrock really fits into. Eliot creates the idea of Prufrock being caught between the two classes in the very beginning of the poem, (if not by J. Alfred Prufrock's unusual pompous/working class sounding name) when he juxtaposes the images of "restless nights in one-night cheap hotels/ And sawdust restaurants with oyster-shells"(4-5) and the women who "come and go Talking of Michelangelo."(13-14). These two images represent two completely different ways of life. The first image is of a dingy lifestyle - living among the "half-deserted streets"(4) while the second is the lifestyle that Prufrock longs to be associated with - much like the image of Michelangelo's painting on the ceiling of the Sistine chapel where God

How to Study in Graduate School vs College

How to Study in Graduate School vs College As a graduate student, youre probably aware that applying to graduate school is very different than applying to college. Graduate programs dont care about how well rounded you are. Likewise, participation in many extracurricular activities is a boon for your college application but graduate programs prefer applicants who are focused on their work. Appreciating these differences between college and graduate school is what helped you gain admittance to graduate school. Remember and act on these differences in order to succeed as a new graduate student. Memorization skills, late night cram sessions, and last minute papers may have gotten you through college, but these habits wont help you in graduate school and instead will likely harm your success. Most students agree that graduate-level education is very different from their undergraduate experiences. Here are some of the differences.   Breadth vs. Depth Undergraduate education emphasizes general education. About one-half or more of the credits that you complete as an undergraduate fall under the heading of General Education or Liberal Arts. These courses are not in your major. Instead, they are designed to broaden your mind and provide you with a rich knowledge base of general information in literature, science, mathematics, history, and so on. Your college major, on the other hand, is your specialization. However, an undergraduate major usually provides only a broad overview of the field. Each class in your major is a discipline unto itself. For example, psychology majors may take one course each in several areas such as clinical, social, experimental, and developmental psychology. Each of these courses is a separate discipline in psychology. Although you learn a lot about your major field, in reality, your undergraduate education emphasizes breadth over depth. Graduate study entails specializing and becoming an expert in your very narrow field of study. This switch from learning a little bit about everything to becoming a professional in one area requires a different approach. Memorization vs. Analysis College students spend a great deal of time memorizing facts, definitions, lists, and formulas. In graduate school, your emphasis will change from simply recalling information to using it. Instead, youll be asked to apply what you know and analyze problems. Youll take fewer exams in graduate school and they will emphasize your ability to synthesize what you read and learn in class and critically analyze it in light of your own experience and perspective. Writing and research are the major tools of learning in graduate school. Its no longer as important to remember a specific fact as it is to know how to find it. Reporting vs Analyzing and Arguing College students often moan and groan about writing papers. Guess what? Youll write many, many papers in graduate school. Moreover, the days of simple book reports and 5 to 7 page papers on a general topic are gone. The purpose of papers in graduate school is not simply to show the professor that youve read or paid attention. Rather than simply reporting a bunch of facts, graduate school papers require you to analyze problems by applying the literature and constructing arguments that are supported by the literature. Youll move from regurgitating information to integrating it into an original argument. You will have a great deal of freedom in what you study but you will also have the difficult job of constructing clear, well-supported arguments. Make your papers work double duty by taking advantage of class paper assignments to consider dissertation ideas. Reading It All vs. Copious Skimming and Selective Reading Any student will tell you that graduate school entails a lot of reading- more than they ever imagined. Professors add lots of required readings and usually add recommended readings. Recommended readings lists can run for pages. Must you read it all? Even required reading can be overwhelming with hundreds of pages each week in some programs. Make no mistake: You will read more in graduate school than you have in your life. But you dont have to read everything, or at least not carefully. As a rule, you should carefully skim all assigned required readings at minimum and then decide which parts are the best use of your time. Read as much as you can, but read smartly. Get an idea of the overall theme of a reading assignment and then use targeted reading and note-taking to fill in your knowledge. All of these differences between undergraduate and graduate study are radical. Students who dont quickly catch on to the new expectations will find themselves at a loss in graduate school.

HUMAN CAPITAL MANAGEMENT - Labor Laws and Unions Essay

HUMAN CAPITAL MANAGEMENT - Labor Laws and Unions - Essay Example The Company’s mission is to â€Å"connect people with their world everywhere they live, work and do it better than anyone else†. AT & T Inc has been accused of inhuman treatment of their employees and overtime payment row to their middle managers in a number of states (Sterling Attorneys, 2011). In the first case, AT&T was accused of requiring employees to stand all day when attending to customers in newly acquired stores notwithstanding the extended hours of operation to 12-13 hours a day. AT&T was in breach of The Fair Labor Standards Act of 1938 (FLSA) which stipulates the minimum wage and overtime pay. It is not only individuals that enjoy a wide range of benefits arising by virtue of being a member of a trade union but also organizations. For instance, organizations stand a better chance of identifying challenges faced by their workers owing to liaison with workers representatives. This gives an opportunity to tackle the problems faced by employees in due time. The Unionization process begins with gathering information about whether there is an existing union in the organization. If there is an existing union then an individual will contact them for further information. In case no union exists in the organization then employees will have to build their own union by coming together to sign an â€Å"Authorization† card. The next step involves making the union official by holding a secret ballot election under the supervision of the National Labor Relations Board (NLRB). The workers can also make their union official by asking the employer to voluntarily recognize the association. The trade unions tend to bargain through collective bargain whereby the union agents on behalf of the unionized employees, petition the employer to take into consideration a particular interest of the employees such as pay rise or improved working condition. Unions bring about serious implications on employers. In case the union disagrees on

Team Organizational Style of Fisher and Paykel Essay

Team Organizational Style of Fisher and Paykel - Essay Example This aspect was highlighted by Imai (1997) in his approach when he highlighted the importance of the shop floor or the teams working on the industry floor in ensuring that continuous improvement takes place within an organization. The advantages of employing such lean manufacturing processes through the Kaizen approach has also been explained by Wilson (2005). Â  Once the new teams were developed, they have engaged actively in the team building process. The changes that occur were in terms of additional time spent in communication skills and team building, followed by activities that were focused on the improvement of work performances and promoting team goals and a common understanding. The goal of the process was to bring about changes in a positive manner through the application of inspiration and communication developed among team members. Â  This process is summed up in the Kaizen approach to organizational behavior. The Kaizen philosophy has been defined as "a means of continuous improvement in personal life, home life, social life, and working life. At the workplace, Kaizen means continuing improvement involving everyone—managers and workers alike. The Kaizen business strategy involves everyone in an organization working together to make improvements without large capital investments." (Imai, 1986) Â  The organization took great pains to improve the teams because they recognized the importance of the shop floor to the success of the organization, as highlighted by Imai (1997).

Data warehousing and data mining

Data warehousing and data mining Abstract This paper aims to discuss about data warehousing and data mining, the tools and techniques of data mining and data warehousing as well as the benefits of practicing the concept to the organisations. It also includes the trends and application in data warehouse and data mining in current business communities. Keywords Database, data warehouse, data mining, database management. Introduction Organisation uses information systems to record and retrieve data from daily transactions. The information systems via the database that link to it provides valuable data for making important and strategic decisions in regards to the well-being of a company. An organisation can predict the expectation that is yet to come from the data that they possessed. The data can also be used to provide possible solutions to overcome the problems that they faced, and even, they can use the data to obtain competitive advantage in their business environment. Database has reduces, if not in some place, vanish the old method of storing and keeping the information, that is, through the usage of the traditional filing system. The change towards digitization of data and the establishment of data repository has created a new term in the field of information systems, new position in the organisation, and a new way of doing business and daily transactions in human life. This paper will discuss further about the two terminologies which is data warehouse and data mining from the perspective of database management in the organisation. At the same time, this paper will also include some cases and issues about data warehouse in the organisation according to real situation based on the literatures. According to William H. Inmon, data warehouse is a set of integrated, subject oriented databases designed to support Decision Support Systems (DSS) functions, where each series of data is precise to some period of time. It is said that data warehouse contains atomic data and lightly conclude the data. On the other hand, data mining is the search for valuable information in large volumes of data (Weiss Indurkhya, 1998). It is the process of nontrivial extraction of implicit, previously unknown and potentially useful information such as knowledge rules, constraints, and regularities from data stored in repositories using pattern recognition technologies as well as statistical and mathematical techniques (Technology Forecast, 1997; Piatetsky-Shapiro and Frawley, 1991). As mentioned earlier, many organisations nowadays use computers especially through the usage of information system to collect particulars of business transactions such as records of banking operations, sales of retails, productions of factory, telecommunications and other transactions. Consequently the data mining tools are used to expose positive potentials and association from the data collected. Background of data warehousing and data mining The following part point up the historical evolution of the database and directly discuss about data warehouse and data mining. A brief history of data warehousing and data mining are included. Furthermore is the issues faced in the early years of implementing the concept of data warehousing and data mining and where both concepts are useful. Data warehousing started in the late 1980s from the IBM lab and the responsible researchers are Barry Devlin and Paul Murphy. They started by the development of business data warehouse for decision support surroundings. In the early 1990s, it became a trend for organisations to meet the growing demand for organising information. However Haisten (1999), a columnist for Information Management Website, mentioned that the concept of data warehouse take shape in early 1970s through a study that started out at MIT with the aim to provide optimal technical architecture. And now, the next generation of data warehousing called Trend in Data Warehouse (TDWI) is mushrooming and become popular in many organisations that use information as their vital capitals. The emergence of data mining began in the late of 1980s and it flourished by 1990s. There are three roots that can be traced back along three family lines on the origin of data mining, which are the classical statistics, artificial intelligence, and machine learning. In order to automate the process of extracting the data which are increased every single time, human has increased the power of computer and data storage. For that reason, the amount of data becomes huge and more complex. Primarily, Bayes theorem (1997) and Regression analysis has identify patterns in data. The data mining is actually the process or method by using greater discovering in computer science engineering such as neural networks, clustering process, genetic algorithm and decision trees. Data mining can be said as a method to help with the collection of observation of behaviour. Ayre (2006) stated in his paper that todays data mining techniques is due to the work of mathematician, logicians, and computer scientist join together to create Artificial Intelligence (AI) and Machine Learning dated back from the 1950s. That was a very basic spark for data mining ideology. As mention earlier, in the 1960s, AI and statistic practitioners created new algorithm such as regression analysis, maximum likelihood estimates, neural networks, bias reduction, and linear model. Also in 1960s, the field of information retrieval (IR) made its contribution in the form of clustering techniques and similarity measures. At these time techniques were applied to text document, but they would later be utilized when mining data in databases and other large, distributed data sets (Dunham, 2003). In 1997, Connecticut-based Gartner Group report has mentioned about data mining and artificial intelligence are at the top five ranking of major technology areas that will clearly have a main crash transversely the whole scope of business unit within the incoming three to five years. Presently, data mining techniques and tools are being prolonged to the variety of areas. For instance, the data mining tools like intelligent text-mining system will extract the text waste pertinent to user queries. The above is the process of how the data is transport to database and data warehouse and selection process by using data mining techniques and technology. And then it show us how the information form by the translating the data to be deploy in business. Approaches of data warehousing and data mining in various industries The industry of finance, sales and marketing, administration and others should see information as corporate source but the many local narrow systems that held that information simply did not give way the incorporated commercial viewpoint that was required. (Inmon, 2007) Even though operational data is a greater asset to the organisation, it seemed data is usually not making use to its full capable. Therefore, data warehouse basically is to enable users appropriate access to breaking apart and complete view of the organisation, supporting forecasting and decision-making process at the managerial stage. Additionally, data warehouse can achieve information consistency by carry data from dissimilar data foundations into centre of database. Users from different department for instances, can view the data from consistent single one place repository. The layer of data in data warehouse makes the information consistent by enable data around the data warehouse to be describe in business terms as against to using database terminology. The establishment of data that enforce how business terms are declared or calculated are also defined in the metadata layer and then served to the users. Because of the data in the data warehouse is non-volatile but it must be d esign to adapt the changes periodically. It is because terminologies use in business cannot run from changes. Mannino and Walter (2004) in their study about the refreshment of data warehouse stated that data warehouse refreshment is a complex process comprising many tasks, such as extraction, transformation, integration, cleaning, key management, history management, and loading. This study is base on interviewed of 13 organisations and the author conclude that daily refresh during nonbusiness hours were the most common policy. Sometimes data warehouse is not fully utilized by organisation or it being used by company but not all departments. In a case studied by Payton (2005) conclude that there are three factors why data warehouse is disappointed them. It is because; marketings lack of trust in the data in CDW (Corporate data warehouse); marketings low perceived quality of the data; and marketings perceived lack of incorporation of their needs in the design of the data warehouse and data warehouse interface. Data mining in the industries like information provider as library involved in digital libraries gain benefits from it as they found the method to classify information automatically and apply new way to clustering the subject called MetaCombined the project. Besides database, data mining can be useful in a variety data types like text, spatial data, temporal data, images, and other complex data. Data warehousing and data mining in telecommunication The telecommunication industry is fast fitting the main user of high quantity information system. The problem faced by telecommunication industry is the generation of information which is too fast and in tremendous condition. The difficulties occur when a user, either a manager or high executive, needs access to stored information. If the time is not the issue to search what they want in that kind of stored data where they put in different places, it will not be an issue at all but time limitation is consuming. For instance, in order to produce a report regarding subscriber, an executive need to extract the data, do some analysis, and some other step to make it presentable to their officer. What else can enhance all this besides technology? The exact question to ask is; what is the technology that can be very helpful in this situation? The answer is through the application of data warehousing and data mining. In real case studied by Papaiacovous, Bramblet, and Burgess (n.d) in a paper titled Data Warehouse: A telecommunication Business Solution; they described about the difficulties to produce report. They then design personalized systems which exceed the traditional borders of data warehousing systems by assembling and keeping only important data, analyzing and transforming the data, and then summarizing and rearranging it in according to the demands of the user. Another interesting article by Gomez (1998), expressed the hope that cellular companies and other communications firms to strongly consider data warehousing as a way to achieve competitive advantage. The author also reviews new way to data warehousing that have established successful in compliant concrete business benefits. Service providers realize due to the competition in the marketplace, they need to provide the best for their customer or risk to lose them. It is because customer can simply change their telecommunication service provider if they are not satisfied with their current provider. So the provider must get the knowledge in customers hand about what they want actually. After all the data about the customer are collected via online and phone survey, a data warehouse can enhance the executive to analyze and segments customer into groups by their product usage patterns, demographic characteristics, etc. Telecommunications companies produce tremendous quantity of data. These data consist of call detail data, which describes the calls that cross the telecommunication networks; network data, which explain the position of the hardware and software components in the network, and customer data. Data mining can be used to uncover useful information buried within these data sets. Telecommunication companies might counter fraud from customer that intends to use the service without paying for it. It happens when the users register and manipulate the registration information. The most regular way for identifying fraud is to construct a profile of customers calling behaviour and compare recent activity against this behaviour. Thus, this data mining application relies on deviation detection. The calling behaviour is captured by summarizing the call detail records for a customer. Here is the issue on data mining. In the customer case study by the company ECtel n order to sell their data mining product for fraud detection called FraudView noted that selling data mining product to a telecommunication provider has been traditionally difficult because they dont have data mining experts on staff who can work conventional data mining tools. Additionally, there are many ways to run away from paying for telecommunication services, from stealing phone card to bypassing phone circuitry. ECtel created FraudView, the solution that uses SPSS Inc.s advanced data mining workbench, which enable the detection of telecommunications fraud in real time. Data mining in telecommunication industries is not limited to detect fraud only but it also can be used as network fault isolation, marketing or customer profiling, etc. This is owing to the three main sources of telecommunication data which are call detail, network, and customer data. Data warehouse and data mining in financial services How a retail bank can truly understand and predict its customers needs to the point where it can design product and services that suit those needs? One way of looking at customers can be from the standpoint of channel usage. In the UKs Llyods Bank/TSB merger, data were sourced from both their data warehouse, and then used to segment the customer base by service channel usage. Customers were allocated to segment on their usage of the following channels: ATMs, automated (direct debits/standing orders), cards (credit card and debit) and telephone (Peppard, 2000). Financial institutions struggle with the large amount of data on every transaction deal. Data warehouse helps financial service organisations to analyse large, complex, and rapidly growing data volumes in a quicker way for better decision making and faster speed back to the market. Fundamentals of data mining in finance are coming from the need to forecast multidimensional time series with high level of noise, accommodate specific efficiency criteria, make coordinated multiresolution forecast, and also incorporate a stream of text signals as input data for forecasting models (Kovalerchuck Vityaev, 2002 ). As noted by Kovalerchuck Vitayaev, four main reason why data mining need to be implemented in finance is because the emergence of high volume databases such as commercial data warehouse and computer automated data recording; advances in computer technology such as faster and bigger computer engines and parallel architectures; fast access to vast amounts of data, and the ability to apply computationally intensive statistically methodology to these data. Data mining is used to forecast the target variable, performing the contribution varies in percent within todays closing price and the price five days later, along with next days prediction. Data warehouse and data mining in health service In healthcare there is not much transaction as business environment. The data is about outpatient, visits to doctor office, procedure and so forth. Instead of numerical data, healthcare has textual description if the different medical counters. And there is a little bit problems here, where the technology that own a old method of data warehouse is created to manage process of transacting data that is very conquered by arithmetical information. When textual, non-transactional information is come across, the old method data warehouse technology nowadays is simply at a defeat to handle healthcare information. (Inmon, 2007). Then, if the data is not a number but a textual; it must be kept with different understanding of phrase. It just likes a different language. In order to be standardized, there has to be creation of same vocabulary for instance, with the purpose to gain understanding for all. Then it can be kept in the data warehouse. In a case study written by Kumar and Raval (n.d), they traced a large global pharmaceutical, which has a huge data of clinical trials for a number of drugs projects. Due to data collection and analyses operations that are broadening across the world, it is harder to implement data standards. Even harder to enforce was the programming and validation standards that are required of pharmaceutical companies. Primarily, a data warehouse is an operational middle ground and disparate and incompatible to a big quantity of systems put together to diverse collection from end user platform. In another case, Whiting (2001) reported a healthcare name Intermountain Health that used data warehouse to make an analysis handling provided to its cardiovascular patients for five years. From the result, it improves service provided after the patients return home. These are the data mining in healthcare and insurance where it can give beneficial such as providing claims analysis, it means determine which medical procedure are claimed together. It helps in predicting which customer will buy new policies and can identify behaviour pattern or risky customer and also prevent fraud. Data warehouse and data mining in retail industry The challenge in retailer business actually is inundate of data, the battle of data and expired data. To cope with these challenges, many retailers are building unified repositories of data known as data warehouse. In the early implementation of data warehousing technology in 1990s, the retail business has gained benefits of practical data warehouse. From the daily historical sales reporting database created over past few years ago, retailer can expanded the use of analytical systems to support and produce vital decision. The retail industry is going through a transformation. Data warehouse enable retailers to carry out on their major products, including activities such as inventory replacement, purchasing, and vendor management across multiple other multiple. Financial planning, adjusting for stock outs to seed a top-down financial plan provides all of the data necessary to support well-organized process for the confirmation of invoice accuracy to strategy-based pricing solution. Simple application that can implement the concept of data mining for retail industries are SQL server 2008 and Microsoft Office Excel 2007. To stay competitive, retailer must understand not only current consumer behaviour but must also be able to predict future consumer behaviour. Accurate prediction and an understanding of customer behaviour can help retailers keep customers, improve sales, and extend the relationship with their customers. SQL server 2008 provide predictive analysis through data mining and Microsoft Excel 2007 offer data mining capabilities that can help retailers make better decision. The application that is common for business retail in data mining such as market basket analysis, fraud detection, database marketing, sales forecasting, and also merchandise planning and allocation. Data mining is so beneficial in retailer industries! Recommendations In the business world a transaction is repeated again and again and many of them deal with data in numerical. The same activity repeats with different customers and different figures. To release from this mess, data warehouse and data mining provide solution. Even though data warehouse and data mining is a strategic investment to the business world but it can be risky without a proper understanding of the concept. Governance or control is important to support the implementation of data warehouse and data mining. There must be a proper standard to ensure compatibility in processing the data especially for textual data used in the health industry. There should also be a policy and to manage the data warehouse. It is highly recommended that to be successful in the implementation of data warehouse or/and data mining, an organisations are required to have extensive or comprehensive knowledge about the data in their company. This is to guarantee that a well structured data warehouse can be constructed. A well structured data warehouse consequently will help organisation to exploit via data mining the data that they have. Organisation should also know what exactly they want to implement in their organisation so that the right tools for data mining can be used. And finally, a strong support from top management is important to deploy data warehouse and data mining because the investment on these is not cheap. Conclusion Insufficient of data is no longer a trouble but lack of ability to breed valuable information from data is the issue today. The answer for those issues is through the implementation of data warehouse and the power to use data mining techniques and tools. Nevertheless, the realisation and the awareness of data warehouse and data mining in the organisation should take into consideration many aspects regardless of what industries. The aspects include support of the top management, understanding of the data needed by the organisation, governance and policy, the right design of the data warehouse, and the right tools or techniques for data mining. Bibliography Dunham, M.H. (2003). Data mining introductory and advanced topics. Upper Saddle River, NJ: Pearson Education, Inc. Kovalerchuk, B., Vityaec, E. (2002). Data mining in finance advances in relational hybrid methods. USA: Kluwer Academic Publisher. Wang, J. (2003). Data mining opportunities and challenges. USA : Idea Group Publishing. Keng Siau. (2003). Advanced Topics in database research. USA : Idea Group Publishing. M. Kumar Sagar., Raval, H. (n.d). Data warehousing in pharmaceutical and healthcare: an industry perspective. Retrieved January 10, 2010 from: http://www2.sas.com/proceedings/sugi24/Dataware/p115-24.pdf Mannino, V. M., Walter, Z. (2006). A framework for a data warehouse refresh policies. Decision Support System, 42, 121-143. Retrieved January 10, 2010 from: www.sciencedirect.com Syncort Inc. (2010). Business drivers and enabling technologies for clickstream data warehouse initiatives [White Paper]. Retrieved from www.syncsort.com/clickstream Balog, K. (2004). An intelligent support system for developing text classifies. Retrieved January 10, 2010 from: http://balog.hu/itm/thesis.pdf Sang Jun Lee , Keng Siau. (2001). A review of data mining techniques. Industrial Management and Data System. 101/1, 41-46. Retrieved January 10, 2010 from: http://www.emerald-library.com/ft Karthik Jayashankar. (2007). Data mining tools for analytics application in retail. Information Management Online. Retrieved January 10, 2010 from: http://www.information-management.com/white_papers/10000547-1.html Hackney, D. (1999). A data warehouse is subject-oriented. Are they any rules to go about defining the subjects? Information Management Online. Retrieved January 25, 2010 from: http://www.information-management.com/news/1331-1.html Adelman, S., Moss, L, (1999). Data warehouse goals and objectives. Part 3: Long term objectives. Information Mangement Online. Retrieved January 25, 2010 from: http://www.information-management.com/issues/19991101/1564-1.html Bertman, J. (2005). Dispelling myth and creating legends for your e-biz intelligence warehouse. [Power Point Slides]. Retrieved from www.dgigusa.com Luja ´n-Mora, S., Trujillo, J., Il-Yeol Song. (2006). A UML profile for multidimensional modeling in data warehouse. Data Knowledge Engineering, 59, 725-769. Retrieved January 25, 2010 from: http://www.sciencedirect.com.ezaccess.library.uitm.edu.my/science?_ob=MImg_imagekey=B6TYX-4HWXJXG-1-2R_cdi=5630_user=6533825_pii=S0169023X0500176X_orig=search_coverDate=12%2F31%2F2006_sk=999409996view=cwchp=dGLbVtz-zSkWAmd5=35d7b25297f3ee013bded90b43ecf5bbie=/sdarticle.pdf Shin-Yuan Hung, Yen, D., C., Hsiu-Yu Wang. (2006). Applying data mining to telecom churn management. Expert System with Application, 31, 515-524. Retrieved February 12, 2010 from: www.elsevier.com/locate/eswa Weiss, G., M. (n.d). Data mining in telecommunications. Retrieved February 12, 2010 from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.60.955rep=rep1type=pdf Lamont, J. (2000). Datawarehousing in the telecommunications industry. KMworld Magazine. Retrieved February 12, 2010 from: http://www.kmworld.com/Articles/Editorial/Feature/Data-warehousing-in-the-telecommunications-industry-9153.aspx Gomez, J. (1998). Data warehousing for the telecom industry. Information Management Online. Retrieved February 12, 2010 from: http://www.information-management.com/issues/19981201/260-1.html Papaiacovou, D., Bramblett, L., D., Burgess, J. (n.d). Data warehouse: A telecommunicaitons Business Solution. Retrieved February 12, 2010 from: http://www2.sas.com/proceedings/sugi22/DATAWARE/PAPER135.PDF Thompson, B. (2005). Information and communications technology and industrial property. Journal of Property and Investment Finance, 23 (6), 506-5015. Peppard, J. (2000). Customer Relationship Management (CRM) in financial service. European Management Journal, 18 (3), 312-327. Rogers, G., Joyner, E. (n.d). Mining your data for health care quality improvement. Retrieved February 12, 2010 from: http://www2.sas.com/proceedings/sugi22/DATAWARE/PAPER135.PDF Silver, M., Hua-Ching Su., Dolins, S. B. (n.d). Case study: how to apply data mining techniques in a healthcare data warehouse. Retrieved February 12, 2010 from: http://www.himss.org/content/files/jhim/15-2/him15208.pdf Bach, M., P., Cosic, D. (2008). Data mining usage in health care management: literature survey and decision tree application. Med Glas, 5 (1), 57-64. Retrieved February 12, 2010 from: http://www.ljkzedo.com.ba/M8_10.pdf Inmon, B. (2007). Data warehousing in a healthcare environment. Administration Newsletter. Retrieved February 12, 2010 from: http://www.tdan.com/view-articles/4584 McEachern, C., Stern, L, Bell, L. (1998). Data warehousing in the health care industry Three perspective. Information Management Online. Retrieved February 12, 2010 from: http://www.information-management.com/issues/19980301/696-1.html Whiting, R. (2001). Data analysis to health cares rescue. IT helps health-care group identify best clinical practices. Infrormation Week. Retrieved February 12, 2010 from: http://www.information-management.com/issues/19980301/696-1.html Haisten, M. (1999). 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War in Iraq: There Was Another Option Essay -- Politics Political

War in Iraq: There Was Another Option 1. As our brave men and women in uniform find themselves embroiled again in a conflict in the Middle East, debate surrounding the timeliness and necessity of this second Gulf conflict has ceased in most professional circles. However, before the current conflict began, controversy raged over when and how to best prosecute this situation. Many argued that the United States should have worked through the United Nations to pursue a resolution that had the consensus of the world behind it. That endeavor, however, was doomed to failure from the start. The United States sought to solve this dilemma using military force. France and Germany desired to diffuse it using anything but force. In order to properly evaluate all options in this case, one must ask themselves how immediate a threat did Saddam Hussein pose to the United States and what is the best way to counter that threat? In my estimation, Saddam Hussein poses no immediate threat to the United States. Thus, the US government had the time to cultivate a plan to remove him from power that was agreeable to all involved. 2. One must examine the fine points of each argument that the administration had proposed for the immediacy of war in order to best refute them. The first and often most repeated argument that Saddam Hussein posed a direct threat to the United States is that he possessed weapons of mass destruction. I am willing to concede that the Iraqi military possessed both chemical and biological agents. Saddam Hussein had stockpiles of them that were never accounted for after the first Gulf War. He has even used them on several occasions on Kurdish minorities in Northern Iraq. However, no proof was ever offered that he possessed nu... ...o.com/news?tmpl=story&u=/ ap/20030411/ap_on_re_mi_ea/war_us_military_623> McDowell, Patrick. Crowd Kills 2 Clerics at Shiite Shrine . Middle East AP. April 11 th 2003. < http://story.news.yahoo.com/news?tmpl=story&u=/ ap/20030411/ap_on_re_mi_ea/war_clerics_killed&cid=540&ncid=716> Mearsheimer, John J. and Stephen M. Walt. An Unnecessary War . Foreign Policy. January/February 2003. 45-48 Pollack, Kenneth M. The Threatening Storm: The Case for Invading Iraq . Random House Publishing. First Edition 2002. 64, 144 Rai, Milan. No Justification For War . Znet. March 6 2002. Community for Social Change. April 13 2003. Rice, Condoleezza. Campaign 2000: Promoting the National Interest . Foreign Affairs. January/February 2000. 86 Tenet, George. Letter to Congress . October 2002

Essay About an Injury

My Injury Name: Pleun Fijneman Class: 2H Teacher: Nugteren Name: Pleun Fijneman Class: 2H Teacher: Nugteren What happened? I’m going to tell you about the fracture me brother got. It happened one day before we went on wintersports. He was playing soccer with his friends, and one of them thought it was funny to make him stumble, so he went leg hooking at my brother. My brother felt and he had a lot of pain in his leg. He couldn’t walk on it anymore, so they all helped my brother to the house of one of them. The mother of the friend where they were, brought my brother to our house.My brother looked very pale. Then my mother brought him to the emergency room, and he was sent to the hospital. When they arrived at the hospital they had to wait for a long time. He said to me he had never felt so much pain as then. Then a doctor came and took him to the plastery room. First, he was laid down in a chair, and then the doctor tried to put his leg in the right position. My brother was dying of pain when the doctor touched it, and certainly when he was putting his leg in right position. After that the doctor made a X-ray of his leg, so he could see what was wrong.The doctor told my mom that he had a crack in his tibia (shin bone). The doctor was telling about fractures, but my mom didn’t know what it meant, so the doctor explained the meaning: â€Å"it’s a crack, break, or shattering of a bone, and Toots (my brother) has a crack in his bone. He has a tibia stress fracture. It’s an acute traumatic injury. which usually involve a single blow from a single application of force. † The joints which were involved: knee joint, ankle joints (and hinge joints). He couldn’t move them for 6 weeks, because the plaster was wrapped around it. RecoveryDuring recovering my brother did go with us on wintersports, but he said it was very boring for him. Because he did not go skiing or snowboarding. He had to stay at the house which we had hir ed, or go with us to the snow mountain range where we would go skiing. Most times he stayed home, because it was not very handy to always bring a wheelchair. When we got back home, the friend who made him stumble came over to apologize. Now it happened 4 years ago, but my brother is still a little bit mad at him. Because it was our first wintersports vacation and he couldn’t go skiing.When school started, he stayed most of the time at home, or he came to school at middays. He was at home for 6 weeks. After 3 weeks, he got new plaster. The plaster helped to keep the bone in the same place, so it could cure well. after 2 weeks with the new plaster he got walking cast and crutches, so he could go back to school again and learn how to walk. When he was at school, all his friends started writing sweet things on his leg. My brother was very happy that he could go to school again. Then finally his plaster could go off. His leg was very thin, and it looked a little bit scary, but aft er one week it looked normal again. Photo

Marketing Analysis General Mills - 989 Words

General Mills is a company that has strategically developed and growth through mergers and acquisitions. Mergers are the fusion of two companies that join forces to compete in the market. There are two types of merger: Horizontal merger on which the company acquires a competitor and vertical merger, on which the fusion is with a supplier. Acquisitions, on the other hand occurs when a company buys another company and become the property of the buyer. Thorough study of the market has made General Mills maintains a leader position on the food industry through more than 100 years in the market. According to a business encyclopedia, Strategy is a plan a company develops to reach a determine objective and reflects the company’s strength,†¦show more content†¦Furthermore, a good marketing strategy will tell you how to advertise your product, your target audience and will add value to the product. For example, Frito Lay placed many of their products in the aisles or next to t he registers, this is a marketing strategy that purposely creates a necessity to the shopper to acquire the merchandise. General Mills’ position in marketing their products is inclusive and respectful, especially when it intended to go to children. The company has created a Responsible Marketing Council (RMC) which will review market policies, compliance with those policies and how those new products are marketed to children (Marketing and Advertising, n.d.). Comparative Company Analysis Competitive environment General Mills competes in a dynamic environment. Some of their competitors are Kellogg’s in the cereal segment. Cereal was a product that used to be the number one election for breakfast in American. As time and new knowledge evolved, consciousness about products with less sugar or gluten free arose making the cereal industry tumble. 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