Sunday, October 13, 2019
Computers :: essays research papers
COMPUTERS Could one imagine what the world would be like today without computers? For one, I would not be typing this paper right now. Computers were actually developed in early history. The first major use for a computer in the U.S. was during the 1890 census. Two men, Herman Hollerith and James Powers, developed a new punched-card system that could automatically read information on cards without human intervention (Chaney 52). This caused many other people to develop computers for various tasks. Each new computer helped to perform a different function and make it easier. Eventually IBM made a computer that could perform various tasks such as: figure out equations, store data, and draw graphics (Chaney 53). From there the computer industry exploded. Now computers have changed many aspects of life. Computers have had a major effect upon business. One area deals with the advertising industry. It has completely re-arranged the advertising business. Before computers companies used to advertise only on magazines, billboards, and T.V. The internet has spawned a new world for advertising. If anyone has ever been on the Internet; they know that it is a major contributor to this. Instead of companies paying around 1 million dollars to advertise for a 30 second commercial during the Super Bowl; they could just pay a certain amount to be advertised forever on the net. People can also notice the changes of advertising on the T.V., also. Not until the last few years have people noticed that a great deal of the commercials on T.V. are computer-related. These two combined have made the advertising businesses boom. Not only just on the T.V., but also on the net. Another area affected is the stock trading business. Computers have actually hurt the majority of stock brokerage firms. The reason is because computers allow it’s users to have access to the same information the actual brokers have. They can log onto the internet and go to their online firm to download information on stocks. This way they have the knowledge to trade and buy stocks for themselves without paying a certain percent to the broker. People can become a member of online firms such as: Ameritrade, DLJ Direct, SureTrade, and others. Here they can trade for a mere $8-$10 dollars. People also have responded th at they feel more comfortable when they have total control of their money ( Maney 45). A final area deals with the actual computer-related companies. Computers :: essays research papers COMPUTERS Could one imagine what the world would be like today without computers? For one, I would not be typing this paper right now. Computers were actually developed in early history. The first major use for a computer in the U.S. was during the 1890 census. Two men, Herman Hollerith and James Powers, developed a new punched-card system that could automatically read information on cards without human intervention (Chaney 52). This caused many other people to develop computers for various tasks. Each new computer helped to perform a different function and make it easier. Eventually IBM made a computer that could perform various tasks such as: figure out equations, store data, and draw graphics (Chaney 53). From there the computer industry exploded. Now computers have changed many aspects of life. Computers have had a major effect upon business. One area deals with the advertising industry. It has completely re-arranged the advertising business. Before computers companies used to advertise only on magazines, billboards, and T.V. The internet has spawned a new world for advertising. If anyone has ever been on the Internet; they know that it is a major contributor to this. Instead of companies paying around 1 million dollars to advertise for a 30 second commercial during the Super Bowl; they could just pay a certain amount to be advertised forever on the net. People can also notice the changes of advertising on the T.V., also. Not until the last few years have people noticed that a great deal of the commercials on T.V. are computer-related. These two combined have made the advertising businesses boom. Not only just on the T.V., but also on the net. Another area affected is the stock trading business. Computers have actually hurt the majority of stock brokerage firms. The reason is because computers allow it’s users to have access to the same information the actual brokers have. They can log onto the internet and go to their online firm to download information on stocks. This way they have the knowledge to trade and buy stocks for themselves without paying a certain percent to the broker. People can become a member of online firms such as: Ameritrade, DLJ Direct, SureTrade, and others. Here they can trade for a mere $8-$10 dollars. People also have responded th at they feel more comfortable when they have total control of their money ( Maney 45). A final area deals with the actual computer-related companies.
Saturday, October 12, 2019
Asian Financial Crisis Essay -- business economics
In the summer of 1997, an economic and currency crisis rocked the Asian markets. One by one, Southeast Asian countries such as Thailand, Indonesia, Korea and Japan saw their economies crash in the wake of heavy foreign investment. An economic boom had made the region an attractive investment opportunity for much of the 1990s. By 1997, however, domestic production and development had stalled, and foreign investors grew nervous. A divestment run on the Thai baht triggered the crash. Large corporations, extremely dependent upon the confidence of foreign investors failed to meet debt obligations and began to fail throughout Southeast Asia. Currencies throughout the region faltered and nosedived from their mid-1990s positions of stability. The causes of the Asian economic crisis are varied. Lax oversight of corporations had ramifications in economic downturns that were not a concern in the mid-90s boom. Macroeconomic policies of the southeast Asian countries made their economies vulnerab le to the uncertain confidence of their foreign investors. Despite this, Corsetti, Pesenti and Roubini (1998) make the point that, ?market overreaction and herding caused the plunge of exchange rates, asset prices and economic activity to be more severe than warranted by the initial weak economic conditions.? Much of the crisis that began in 1997 has roots that go back further to the area?s economic growth that started in the early 1990s.      Although many economists consider the Asian economic collapse to have begun in Thailand, conditions throughout the region meant that other countries? economies were destabilized to the extent that they quickly followed Thailand.      Throughout the early 1990s, growth in Southeast Asia attracted much foreign capital. However, by 1995 and 1996, Thailand?s current account deficit had grown (from 5.7% in ?93 to 8.5% in ?96 [Pesenti et al., 1998]). When domestic production slowed, this account imbalance represented an even greater percentage, when compared to GDP. Much of the instability in Thailand?s economy was brought about by heavy short-term borrowing that required stringent debt maintenance. A boom in real estate and the Thai stock market attracted foreign speculation that could not be sustained in the face of investor doubts. The Thai government attempted to shore up shaky investor confidence by officially backing the financial in... ...r 1997 are from the Economist Intelligence Unit Country Report, 2nd quarter 1998. Table 2. Non-Performing Loans (as proportion of total lending in 1996) Korea           8% Thailand      13% Indonesia      13% Hong Kong      3% Malaysia      10% China           14% Philippines      14% Taiwan      4% Singapore      4% Source: 1997 BIS Annual Report; Jardine Fleming. Table 3. Debt Service plus Short-Term Debt, World Bank Data (% of foreign reserves ). 1990      1991     1992     1993      1994      1995      1996 Korea           127.4      125.9      110.4      105.7      84.9      204.9      243.3 Indonesia      282.9      278.8      292.0      284.8      278.0      309.2     294.2 Malaysia      64.0     45.9      45.6      42.4      48.7      55.9      69.3 Philippines      867.6      257.0      217.1      212.6      172.0      166.6      137.1 Thailand      102.4      99.3      101.3      120.3      126.6      138.1      122.6 Hong Kong      30.5      26.9      22.8      20.6      22.0      16.8 China           55.3      43.7      108.6      113.7      54.1      49.6      38.5 Taiwan      23.9      22.3      23.1      25.2      23.7      24.2
Friday, October 11, 2019
Musical Analysis Essay
The first piece I chose was Frederic Chopin’s Prelude in E-Minor (op. 28 no. 4). It was performed by Aldona Dvarionaite (2009). Chopin was a composer in the Romantic period. This is a sad piano piece. Chopin wrote primarily for the piano. The piece range was almost monotone in nature. The sound was in scale rising and lowering using the same melody throughout the piece. The tones were kept uniform repeating over and over again. I found this piece of music one dimensional. It was dark and depressing in nature. It is not music that I would seek out to relax and enjoy. Piece number two was composed by Johannes Brahms – OP. 49 No. 4 Wiegenlied / Lullaby written in the romantic period. This piece was performed by Das Slovakische Kammerochester (2007), I found this music comforting an familiar. Kammerochester performed this from the original composition on the violin. I played this music to my children and my grandchildren to relax them and put them to sleep, singing the lyrics, as my mother sang to me. The melody was rythmatic and soothing to my ears. Johannes Brahms repeated the same tones in the beginning, middle, ending. I was able to discern both the violin and harp in the music, mimicking each other. The lullaby has so many precious memories for me, I cannot help feeling joy with this music. Moving on to the Classical Period I chose to listen to Wolfgang Amadeus Mozart Requiem, conducted by Karl Bohm (2007). This piece had much more depth in texture and tonality. Mozart raised and lowered the power of the piece using both instrumental diversity and note volume to emphasize the piece. Listening to this piece brought me memories of going to the cathedral with my Grandmother. The entire mass was sung in Latin, so it was the music that led you to understanding the mass. The beginning of the piece was sad changing the tone to almost a jubilation or celebration of life. I enjoyed this piece immensely. My second classical selection is Ludwig Von Beethoven’s Piano Sonata No. 14 in C-Sharp Minor, performed by Elisso Bolkvadeze (2010). This is a piano piece with complexity in the melody I find myself feeling melancholy. I cannot help but feel that there was deep sorrow in the person who wrote this music. It is almost that the person was lost amidst his sorrow. The melody repeats itself but is different though out the performance. I almost wanted to find this person and hug them to remove such pain from their life. I was strangely mesmerize, unsure whether to enjoy the music or turn away from the pain. From the Baroque Period I selected one of my favorite pieces, Sebastian Bach Symphony No. 5 in C minor, Op. 67 (2011). There is a complexity in Bach’s compositions that I have not heard in the other composures. I felt energized and excited by this rendition. Bach uses Texture, tonality, melody, and complexity in this piece. The range of emotions changes from moment to moment. It is whimsical at one moment, changing veracity in a moment notice. One does not have to do anything but allow themselves to get lost in the music. There are distinct differences in styles, each with their own merits and shortcomings. In order to appreciate music, one only needs to listen, and let the emotions go through them. I may have my preferences to what I enjoy, but a person needs to make that decision on their own. Music would not be what it is today, if we did not have artist with the imagination and passion to bring it to the public.
Thursday, October 10, 2019
Machine Learning
Journal of Machine Learning Research 18(2017)1-29 Submitted 6/14; Revised 10/sixteen; posted 1/17 Content Mining a New Technique in Data MiningUsman Ahmad Urfi [email protected] UniversityMphil cs (1st) , F-17-3224Editor: Usman Ahmad Urfi Abstractstatistics mining is the gaining knowledge of revelation in databases and the gaol is to cut up examples and data from masses of facts. The essential term in facts mining is content mining. Content material fabric mining removes the pleasant facts pretty from content cloth. Real instance getting to know is carried out to first rate records. Excessive – satisfactory in content fabric mining characterizes the blends of significance, curiosity and intriguing awesome. Undertakings in content material cloth mining are content affiliation, content grouping, detail extraction and slant exam. Utilizations of ordinary dialect preparing and scientific strategies are very favored to convert content material into information for investigation. This study is ready the one of a kind techniques and calculations applied as a part of content material mining. Key phrases: data mining, text mining, gaining knowledge of disclosure Introductioncontent material fabric mining is to deal with found out information. Revealed records is unstructured, vague and control is tough. Content material digging is excellent technique for facts exchange. A non-conventional information restoration methodology is implemented as part of content material mining. For getting statistics from massive association of literary information which become finished through the content material mining. The figure1 is described with the method of content material mining. As of late, dialect exam may be shown improvement over the man or woman. The guide techniques had been costly and tedious method. To perform this purpose of content fabric mining, there are unique advances are sent. The enhancements are information extraction, outline, subject matter following, order and bunching. Mastering Discovery from text (KDT) [6] is one of the issues to deduce sure and unique thoughts .Natural Language Processing (NLP) [8, 13] strategies are carried out to find out the semantic circle of relatives participants between mind. Amazing diploma of content cloth statistics is accounted via the studying revelation. Data Discovery from textual content (KDT) is produced from herbal Language Processing (NLP), whole the strategies from gaining knowledge of management. Disclosure way is conveyed for the rest. KDT assumes a logically noteworthy detail in inclining applications, for instance, text expertise. §c 2017 Ishiguro, Sato and Ueda. License: CC-via four.0, see https://creativecommons.Org/licenses/by means of manner of/four.Zero/. Attribution necessities are furnished athttp://jmlr.Org/papers/v18/14-249.Html.HistoryThe content material cloth mining has numerous techniques to system the content material fabric. The principle structures are clarified proper here. 2.1 facts Extraction records extraction is an underlying boost for unstructured content breaking down [6]. Disentanglement of content material material is crafted by way of way of facts extraction. The crucial work is to apprehend expressions and reveals the relationship among them. It's far appropriate for the bulky length of content material cloth. It eliminates prepared statistics from unstructured information. The discern 2 clarifies the records extraction.ClusteringGrouping middle in the direction of the similitude measures around numerous questions and places, it has no predefined class marks. It isolate content material into one accumulating and further creates bunch of accumulating [4]. Phrases are disconnected rapidly and weights are alloted to each word. Rundown of commands are created through making use of bunching calculations in the wake of figuring likenesses.Eleganceaffiliation is to find the fundamental subject matter of archive via collectively with Meta and breaking down record. The take a look at of phrases and from that tally chooses the challenge be counted of the archive which turn out to be completed thru the characterization strategy. It has predefined elegance call. 3. LITERATURE SURVEY Yuefeng Li et al [13]: A text mining and characterization approach has been applied time period-based methodologies. The issues of polysemy and synonymy are one of the real troubles. There has been a hypothesis that example based strategies have to outflank remarkable evaluation with the term-primarily based completely ones in depicting consumer dispositions. A huge scale layout stays a difficult issue in content material mining. The cutting component term-based definitely techniques and the example based strategies in proposed display which performs productively. In this paintings fclustering calculation is carried out. Significance highlight disclosure in view of every high-quality and terrible criticism for content material mining models. Jian mama et al [4]: The creator centered inside the direction of the problem with the resource of arranging content material material critiques on proverbially, typically in English. On the factor while paintings with non-English dialect writings it activates the disallowance. Metaphysics based definitely content fabric mining approach has been utilized. Its efficient and effective to cluster check out guidelines typified with the English and chinese language writings utilising a SOM calculation. This technique may be prolonged to assist in searching through a superior in shape among suggestions and analysts. Chien-Liang Liu et al [2]: The paper reasoned that the information about the film rating relies upon on the effect of feeling grouping. The element based totally outlines are applied to provide consolidated depictions of motion picture audits. The author composed an inert semantic investigation (LSA) to installation object includes. It's miles an technique to decrease the extent of rundown from LSA. They account each exactness of supposition order and response time of a framework to plan the framework through the usage of using a bunching calculation. OpenNLP2 tool is applied for usage. Yue Hu et al [19]: PPSGen is every other framework which become proposed to asking for of the introduction slides been produced can be applied as drafts. It reasons them to set up the formal slides fasterly for the proprietor. PPSGen framework can perform slides with better nice advocated through the writer. The framework emerge as produced via using the Hierarchical agglomeration calculation. Apparatuses are a Microsoft electricity-component and OpenOffice. A two hundred combo of papers and slides are taken as assessments set from the internet exhibit for evaluation approach. PPSGen is further advanced to the benchmark strategies that had been obvious via manner of the patron keep in mind. Xiuzhen Zhang et al [10]: the trouble seemed with the resource of all of the notoriety framework is focused with the resource of the writer. However the notoriety scores are normally excessive for sellers. It's far a situation requiring wonderful exertion for promising customers to choose reliable dealers. Writer proposed CommTrust for agree with assessment thru enter feedback thru mining. A multidimensional do not forget show is applied for calculation work. Informational index are collected from ebay, amazon. In this approach applied a Lexical-LDA calculation. CommTrust can accurately address the exquisite notoriety problem and rank dealers are at ultimate by using way of demonstrating in reality thru the huge analyses on eBay and Amazon statistics. Dnyanesh G. Rajpathak et al [9]: The checking out errand is In-time enlargement of D-network via the locating of latest manifestations and sadness modes. Proposed method is to expand the blame finding metaphysics live with thoughts and connections each from time to time observed inside the blame evaluation area. The desired historical rarities and their situations from the unstructured restore verbatim content fabric were located with the aid of the philosophy. Actual information accumulated from the car place. Content material material mining calculations are carried out. To accumulate consequently the D-networks with the aid of manner of the unstructured restore verbatim facts that was mined finished through the metaphysics primarily based absolutely content fabric mining usual on the identical time as blame conclusion. A diagram and the chart examination calculations want to be produced for every D-community. JehoshuaEliashberg et al [11]: To discern the movies execution of a movement photograph on the crenulation factor, it is suitable really in the event that it holds the content material fabric and introduction charge. They extricate found out includes in three stages specifically kind and substance, semantics, and % of-phrases from contents using region statistics of screenwriting, enter given thru human, and regular dialect dealing with techniques. A chunk based totally totally technique is to survey film enterprise execution. Informational index are collected from 3 hundred movie taking snap shots contents. The proposed device predicts film organisation profits all of the extra exactly 29 percent is lessened mean squared mistake (MSE) contrasted with benchmark techniques. Donald E. Dark coloured et al [17]: Rail mishaps introduce photograph of a worthwhile nicely being factor for the transportation commercial employer in severa nations. The Federal Railroad administration desires the railways obfuscated in mishaps to post opinions. The record must be snuggled with default discipline sections and recollections. A mixture of structures is to clearly find mishap attributes that could train a advanced comprehension of the benefactor to the mischances. Wooded location calculation has been applied. Content material mining takes a gander at methods to extricate highlights from content cloth that exploits dialect characteristics specific to the rail delivery enterprise. Luà s Filipe da Cruz Nassif et al [6]: In criminological investigation that emerge as automated with a notable many statistics is commonly inspected. Unstructured content material material changed into determined in a big part of the facts acting breaking down way is fairly attempting out exposed with the aid of computer analysts. File bunching calculations for the examination of computer systems on medical workplace seized in police an examination which was advocated through the author. Collection of combo of parameters that activates incite of sixteen distinct calculations hold in thoughts for assessment. Good enough-implies, okay-medoids, unmarried, entire and average hyperlink, CSPA are the bunching calculation are implemented. Bunching calculations persuade to actuate agencies shaped by way of the usage of both big or unimportant file that is applied to decorate the master analyst's interest. Charu C. Aggarwal et al [5]: creator concentrated on using factor data for Mining textual content records. A effective bunching technique became completed by way of the use of the hooked up apportioning calculation with probabilistic fashions which modified into deliberate via the writer. Dataset utilized is CORA, DBLP-4-territory informational index and IMDB. Running time and type of organizations are applied as a parameter for breaking down cause. The results can apparent that the use of aspect-information can beautify the individual of content material bunching and order to control an amazing united states of america of skillability. 5. Diagrams 4.COMPARISONS ON awesome textual content MINING strategiestable number 1.26. Conclusioncontent material mining approach is preponderantly used for setting aside mode from unstructured facts . Records disclosure is primarily engaged at some stage in this assessment. The systems area social unit grouping, characterization, and cognition extraction and information instance become diagramed. The method of content cloth mining and the computing floor area unit further investigated. Throughout this paper absolutely excellent troubles area unit reviewed and their result vicinity unit talked regarding.Mining technique is dominantly implemented for putting aside mode from unstructured statistics . Records revelation is essentially related with amid this audit. The frameworks difficulty social unit amassing, portrayal, and comprehension extraction and records outline modified into graphed. The technique of substance mining and the processing floor place unit furthermore explored. Amid this paper very unexpected troubles area unit investigated and their final consequences zone unit talked concerning. References R. Agrawal and R. Srikant. Quick calculations for mining affiliation policies. In court cases of the 20th global convention on Very big Databases (VLDB-ninety four), pages 487– 499, Santiago, Chile, Sept. 1994.R. Baeza-Yates and B. Ribeiro-Neto. Modern information Retrieval. ACM Press, big apple, 1999.S. Basu, R. J. Mooney, ok. V. Pasupuleti, and J. Ghosh. Assessing the oddity of content material mined rules utilising lexical information. In proceedings of the 7th ACM SIGKDD international assembly on understanding Discovery and statistics Mining (KDD-2001), pages 233– 239, San Francisco, CA, 2001.M. W. Berry, editorial supervisor. Strategies of the 1/three SIAM global conference on information Mining(SDM-2003) Workshop on textual content Mining, San Francisco, CA, might also 2003.M. E. Califf, editorial supervisor. Papers from the 16th country wide conference on artificial Intelligence (AAAI-ninety nine) Workshop on machine getting to know for statistics E xtraction, Orlando, FL, 1999. AAAI Press.
Wednesday, October 9, 2019
Blood Diamond Movie Summary
It is 1999 and the troubled West African nation of Sierra Leone is ravaged by major political unrest. Rebel factions such as the Revolutionary United Front frequently terrorize the open countryside, intimidating Mende locals and enslaving many to harvest diamonds, which fund their increasingly successful war effort. One such unfortunate is fisherman Solomon Vandy (Djimon Hounsou), from Shenge, who has been assigned to a workforce overseen by a ruthless warlord, Captain Poison (David Harewood).On a particularly tense morning, Vandy discovers an enormous pink diamond in the riverbank and buries it in the soft earth. Captain Poison learns of the stone, but before he can act on this knowledge the area is raided by government security forces. Both men are subsequently incarcerated in Freetown along with Danny Archer (Leonardo DiCaprio), a white Rhodesian gunrunner jailed while attempting to smuggle diamonds into Liberia for corrupt South African mining executive Rudolph van de Kaap (Mariu s Weyers). Having managed to learn of the pink diamond's existence, Archer arranges to have Vandy freed from detention.He then travels to Cape Town, meeting with his former military contacts, including Colonel Coetzee (Arnold Vosloo) – an Afrikaner late of the apartheid-era South African Defence Force now freelancing with a private military firm. Archer remarks that he hopes to abscond with Vandy's stone and leave the Dark Continent forever, but Coetzee indicates that his lost stake in Archer's botched Liberian operation entitles him to the diamond as compensation. The former returns to Sierra Leone, locates Vandy, and offers to help him find his family if he will recover his prize.Meanwhile, RUF insurgents initiate an escalation of hostilities. Freetown falls to their advance while Vandy's son Dia (Kagiso Kuypers) is among those rounded up to serve as a child soldier under a liberated Captain Poison. Archer and Vandy narrowly escape to Guinea, where they plan to infiltrate K ono with an American journalist, Maddy Bowen (Jennifer Connelly), in exchange for giving her inside information on the illicit diamond trade. Coetzee and his private army also turn up in the region, having been contracted by local authorities to repulse the renewed rebel offensive.While Bowen is evacuated with her story, the two men set out for Captain Poison's former encampment on their own. Dia, now stationed with the RUF garrison there, is confronted – although he refuses to acknowledge his father. Archer radios the site's coordinates to Coetzee, who directs an air strike via an Mi-24 helicopter gunship. Vandy locates Captain Poison and beats him to death with a shovel while attacking mercenaries rout the warlord's surviving men. Coeztee then forces a reluctant Vandy to produce the diamond, but is shot by Archer, who has deduced that he will have them both eliminated once their usefulness has expired.Dia holds them both at gunpoint, although Vandy convinces him of his own retained innocence and the two consummate their previous bond. Archer discloses he has been mortally wounded and cannot proceed as anticipated. He entrusts the stone to Vandy, ordering him to take it for his family. Vandy and his son rendezvous with a charter pilot, Nabil (Jimi Mistry), who flies them to safety while Archer makes a final phone call to Maddy Bowen, charging her to assist Vandy, as well as giving her consent to publish his revelations of the diamond trade, telling her â€Å"It's a real story now†.Gazing across the landscape, he grasps a handful of bloodstained earth and dies peacefully, fulfilling Coetzee's prediction that the smuggler would never leave his African home. Shortly afterwards, Vandy, who is now living in England, meets with representatives of van de Kaap, who wishes to acquire his jewel. Bowen photographs the deal for publication in her article detailing the trade in conflict gems and exposes van de Kaap's criminal actions. Meanwhile, Vandy's gues t appearance at a conference on â€Å"blood diamonds†in Kimberley is met with a standing ovation. Blood Diamond Movie Summary It is 1999 and the troubled West African nation of Sierra Leone is ravaged by major political unrest. Rebel factions such as the Revolutionary United Front frequently terrorize the open countryside, intimidating Mende locals and enslaving many to harvest diamonds, which fund their increasingly successful war effort. One such unfortunate is fisherman Solomon Vandy (Djimon Hounsou), from Shenge, who has been assigned to a workforce overseen by a ruthless warlord, Captain Poison (David Harewood).On a particularly tense morning, Vandy discovers an enormous pink diamond in the riverbank and buries it in the soft earth. Captain Poison learns of the stone, but before he can act on this knowledge the area is raided by government security forces. Both men are subsequently incarcerated in Freetown along with Danny Archer (Leonardo DiCaprio), a white Rhodesian gunrunner jailed while attempting to smuggle diamonds into Liberia for corrupt South African mining executive Rudolph van de Kaap (Mariu s Weyers). Having managed to learn of the pink diamond's existence, Archer arranges to have Vandy freed from detention.He then travels to Cape Town, meeting with his former military contacts, including Colonel Coetzee (Arnold Vosloo) – an Afrikaner late of the apartheid-era South African Defence Force now freelancing with a private military firm. Archer remarks that he hopes to abscond with Vandy's stone and leave the Dark Continent forever, but Coetzee indicates that his lost stake in Archer's botched Liberian operation entitles him to the diamond as compensation. The former returns to Sierra Leone, locates Vandy, and offers to help him find his family if he will recover his prize.Meanwhile, RUF insurgents initiate an escalation of hostilities. Freetown falls to their advance while Vandy's son Dia (Kagiso Kuypers) is among those rounded up to serve as a child soldier under a liberated Captain Poison. Archer and Vandy narrowly escape to Guinea, where they plan to infiltrate K ono with an American journalist, Maddy Bowen (Jennifer Connelly), in exchange for giving her inside information on the illicit diamond trade. Coetzee and his private army also turn up in the region, having been contracted by local authorities to repulse the renewed rebel offensive.While Bowen is evacuated with her story, the two men set out for Captain Poison's former encampment on their own. Dia, now stationed with the RUF garrison there, is confronted – although he refuses to acknowledge his father. Archer radios the site's coordinates to Coetzee, who directs an air strike via an Mi-24 helicopter gunship. Vandy locates Captain Poison and beats him to death with a shovel while attacking mercenaries rout the warlord's surviving men. Coeztee then forces a reluctant Vandy to produce the diamond, but is shot by Archer, who has deduced that he will have them both eliminated once their usefulness has expired.Dia holds them both at gunpoint, although Vandy convinces him of his own retained innocence and the two consummate their previous bond. Archer discloses he has been mortally wounded and cannot proceed as anticipated. He entrusts the stone to Vandy, ordering him to take it for his family. Vandy and his son rendezvous with a charter pilot, Nabil (Jimi Mistry), who flies them to safety while Archer makes a final phone call to Maddy Bowen, charging her to assist Vandy, as well as giving her consent to publish his revelations of the diamond trade, telling her â€Å"It's a real story now†.Gazing across the landscape, he grasps a handful of bloodstained earth and dies peacefully, fulfilling Coetzee's prediction that the smuggler would never leave his African home. Shortly afterwards, Vandy, who is now living in England, meets with representatives of van de Kaap, who wishes to acquire his jewel. Bowen photographs the deal for publication in her article detailing the trade in conflict gems and exposes van de Kaap's criminal actions. Meanwhile, Vandy's gues t appearance at a conference on â€Å"blood diamonds†in Kimberley is met with a standing ovation.
Tuesday, October 8, 2019
Conclusion and recommendations Research Paper Example | Topics and Well Written Essays - 500 words
Conclusion and recommendations - Research Paper Example The management and Human Resources Department of Green Kitchen is qualified and possess the skill to allow the organization to become successful. A good amount of experience is possessed by the management and this would lead them to improve the weaknesses that have been identified for the firm and polish their strengths as well. Green Kitchen most importantly needs to work upon their capital and their promotion strategies to increase their customer base and also their market share. Green Kitchen, as stated in the analysis needs to make proper expansion plans and also work upon building a strong competitive edge as competition is increasing on a regular note. The marketing strategy focused by Green Kitchen is on the pricing factors and the distribution channels. The use of ERP will improve the operations management of Green Kitchen to a large extent. Green Kitchen needs to ensure that all the business management functions are running in a systematic mode so that it can achieve all its milestones successfully. Green Kitchen needs to work on their marketing and promotion strategies so that they can attract a huge customer base. They need to advertise in their ads about the importance of using environment friendly products and its benefits. They need to ensure that the mediums used for advertising is effective enough for the target market to view the advertisement. They can have alliances in the foreign market to promote their products in the international market and hence this would help them in increasing their capital. Production and manufacturing setup may be reduced this way in the international market. They can work upon increasing their target market such as the kitchen cleaning products can be used in commercial businesses such as hotels and restaurants and other such places. When businesses buy their
Monday, October 7, 2019
Horizontal Occupational Gender Segregation Term Paper
Horizontal Occupational Gender Segregation - Term Paper Example There is huge inequality between men and women in job distribution in the labour force. Men are considered to be stronger and powerful as compared to women who are considered to be too weak to engage in heavy labour. Women having similar qualification as men are offered inferior jobs because of which they have to face the brutality of inequality (Tackling Occupational Segregation Fact Sheet). According to Robert M. Blackburn and Jennifer Jarman, â€Å"Horizontal occupational segregation has been the heart of debates about gender inequality†. It shows that social injustice is been done to women in the workplace thus leading to improper utilization of the human resources. It also reveals the wider perspective of the society as a whole. A research was conducted to investigate the pattern of gender difference and inequality in employment using a new concept of segregation. This new system measured to which extent differences exist between men and women employed in different occupa tion. It studied the changes in gender segregation in Canada between 1981 and 1996. It was found that this trend still continued with just a slight decline in the overall segregation. This new system measured to which extent differences exist between men and women employed in different occupation. It studied the changes in gender segregation in Canada between 1981 and 1996. It was found that this trend still continued with just a slight decline in the overall segregation. Vertical segregation (inequality associated with occupational earnings) declined up to 41% but an increase in horizontal segregation, that is, difference without such inequality. The result said that women are slowly increasing their participation in areas mainly dominated by men.
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