Personal Essay Sample For College - What Should You Include?

Personal Essay Sample For College - What Should You Include?The application essay is one of the most important parts of any college application. It is a great opportunity to add a little bit of your own personality to the essay. So, while the essay you write for the application is already some of the most important parts of your college application, it still can not match up to the usefulness of an essay sample for college.By using this essay, you can write a number of different pieces on college applications. You can do a speech or mini-lecture for your local high school graduation, your friends' graduation, or a presentation to a large group of college students. This will give you something to say about the essay topic, the essay topic is one that will get a lot of attention in the essay. It can be just as impactful if you are able to say something that relates to the essay topic as it can if you try to add some originality only comes out on special occasions.A good essay sample fo r college can help you get through the middle of the essay. After all, if you have several essays to write at once, it is important to be able to build the pieces up from one to the next. There are many sites online that will send you an essay sample for college so that you can quickly and easily try out the lines. If you have had no experience writing a college essay, or if you are unfamiliar with some of the words and ideas used in college admissions, you can use this opportunity to write the best essay you have ever written.You can find an essay sample for college online or through a newspaper or magazine. Many schools have their own online campus reference website where they will send you a personalized essay sample for college. This site also gives you a number of samples of essays that other students have written and you can read them and find out how well they have done in college.Another option for finding a personalized essay sample for college is the Free College Essay. Th is site also sends you a sample for a small fee. However, the cost will get higher the more essays you send in, as the site sends you a series of essays that you can use to test out the application essay material. This site is also great for students who are trying to work on essays by themselves without being required to have an instructor with them.The purpose of an essay is to provide information about yourself and what you can offer the college that has asked you to write the college essay. Writing the essay in a professional manner is one way to let the reader know that you have done your homework. Also, a personalized essay will give you a personal touch that is hard to achieve when writing a college essay. Writing an essay is another skill that can only be learned with practice.So, do not overlook the importance of using a personal essay sample for college. These will give you a chance to inject a bit of your own personality into the writing, and will give you an excellent id ea of what you should include in the essay. You can make a very good impression on your college counselor or admissions officer by using an essay sample for college.

Tips for Getting the Most Out of Your Sample Anthem Essay

Tips for Getting the Most Out of Your Sample Anthem EssaySample Anthem Essay for graduation is a great option to send out for your graduation. It could be a really good idea if you are at a point where you are simply dying to know which school is best suited for you. This article will give you some hints as to how to choose a sample anthem essay that will satisfy all the different possible needs of students graduating.One thing that you need to be wary of is including too many elements in your essay, particularly the main points. You do not want your student to have a hard time processing your thesis. All the elements should be put in as a unit. You can use sample essays that provide you with the basis for all the elements in the proper order.You also want to find a sample essay that is useful for individuals who are having a hard time following the various groups of information. This way, you do not have to explain all the information to each and every individual in your group. Most students would rather have you provide them with the basic information that is necessary to complete their thesis.Some teachers will make students write the essay ahead of time or dictate the passages, so that they can practice writing the essay. This is the best time to have a sample essay to work from. If you have this kind of program, this will be an ideal time to prepare your own anthem essay. Make sure that you write all the information clearly, as the lesson could be an important one for your student.Students often do not understand the power of voice. Do not hesitate to provide students with sample anthem essays that incorporate their voice. This is a good way to utilize your own voice, as well as a great way to provide them with ideas for their own poetry. Many students may just want to express themselves, but the power of voice is one thing that you cannot avoid. They may not be able to get words out, even if you teach them how to put together a better anthem essay.You do not have to beat around the bush when it comes to providing basic information. If there is something that you need to know, just have it in the sample essay. They will more than likely find it useful, and they will find something that you are willing to teach them as well.You should remember that the entire point of the lesson is to try and implement the idea. Just because it is your idea, does not mean that you have to necessarily force it on your students.

Putting India to Work Legally free essay sample

In order to remain India’s largest employer, they had to keep up with the explosive growth and competition in the telecommunications, financial services, and retail sectors. 2. ) Going forward, TeamLease has faced a few challenges along the road. First, TeamLease decided to move from a decentralized to a centralized structure for operations, causing fear and resistance from clients who were afraid of the loss of personalized services and fear from TeamLease employees who disliked the idea of relocating. TeamLease also had a difficult time filling open positions. Many people were registered with the government-run employment exchanges and many of these people were not fully qualified for the job. TeamLease also tried to partner with training companies but there was no training company that would accept their concept of paying for their services only after their trainee has been placed with a job. They also took a big hit during the 2009 recession causing the open job market to drop dramatically and as well as a decrease in client support. We will write a custom essay sample on Putting India to Work Legally or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page . ) The competitors that worry me the most are Addeco and Randstad. Addeco seems to be the largest HR staffing service company followed by Randstad. Addeco is a major threat with over 33,000 employees and 5,500 branches, in over 60 countries. Randstad has 28,700 employees, 3,500 branches, in over 40 countries. TeamLease on the other hand has 75,000 employees in 600 branches. TeamLease may have more employees, but Randstad and Adecco seems to have more qualified employees and are more spread out worldwide. TeamLeast has the least amount of branches among its top competitors.I believe that TeamLease should put more money into staffing and training in order to have more suitable and a more experienced staff in order to maintain competitive advantage. They should also try to increase or spread out more of their branches to other countries. TeamLease should also put more effort into marketing and their advertising campaign. Last, they should consider offering employee incentives such as days off or bonuses’.

article critiques Essays

article critiques Essays article critiques Essay article critiques Essay Name: Lecturer: Course: Date: Article Critiques PFM Devices Opinion PFM Devices is a company dealing in the production of synthetic cartilage and the article is about the projects it initiated to improve its business operations. The major projects aimed at improving the management and overall direction of information technology in the various divisions of the company. Recently acquired outlets in other countries, it was necessary to come up with a system to integrate information within all the divisions. The measures to be taken would help the company in keeping abreast with trends emerging in the business field. Additionally, they would enhance consolidation of information and improvement in communication. Disagree However, the steps undertaken by the new information officer to enhance information technology failed to adhere to customer specifications and instead concentrated on the technicalities of the business which would increase sales in a short period. All the methodology put in place including an increased budget failed to earn the company the profits it had anticipated. This implies that the systems put in place were more operations based than customer tailored, a factor I disagree with. With new IT systems in place the diagnosis of problems in all divisions of the company was ultimately made easier but failure to link them with their customers proved fatal for the company, which eventually made losses. Recommendation The proposed solutions were both impressive but I agree with that of customer relationship management. This is because in this kind of industry that is mainly service oriented, satisfaction of consumers is what matters the most. Getting closer to the consumer provides an opportunity to better understand their needs and derive the best ways to meet these needs. In the end, the provision of quality service is what attracts more customers to any product thus the need to enforce good customer relationship before taking other measures to increase company sales. Du Pont Opinion Du Pont is a manufacturing company, which was among the first in its time to implement Artificial Intelligence in its operations. This article focuses on how the Du Pont Company implemented a new information systems strategy that was largely criticized for its target of smaller systems which people considered a waste of resources. Artificial intelligence was an emerging management system at the time and its implementation was definitely a brilliant move given its numerous benefits. The main challenge, which was also a cause of disagreement among the proprietors of the project, was whether to begin with the small systems or the larger systems. Agree With regard to information technology, dealing with smaller systems is often a better option as it provides a better way to gather information as opposed to the larger systems. Despite it being expensive, the results are always impressive. In the case of Du Pont, it served its intended purpose of managing the employees, putting in place better systems, processing and scheduling applications and sourcing for new technology. Had they concentrated on larger systems, I doubt that the same efficiency would be guaranteed or that the momentum of the project would be progressive although it was a cheaper option. Disagree On the other hand, I think that the company should not have implemented the strategy in such an extensive manner. New systems, which have not been tried and proven efficient, are risky to put in practice because of the possibilities of failure that it presents. Such large tasks should not just be based on the implementer’s impressive record of accomplishment hence there should have been room for trials and errors before actually launching the full project. Although it was successful, future considerations have to be made regarding its sustainability. Recommendation Alternatively, the project should have been implemented in small doses to allow evaluations to be made on its success and suggestions made to improve it. This will prevent challenges such as maintenance from emerging because they would have been dealt with during the first stages of implementation.

AL Jazeera Research Paper Example | Topics and Well Written Essays - 750 words

AL Jazeera - Research Paper Example in Qatar. Initially, Al Jazeera instigated its journey as a satellite channel that largely dealt with current affairs as well as several important news of Arab. As the news broadcasting channel of Qatar, Al Jazeera enlarged its wide network with numerous business outlets that majorly included the online websites as a medium of internet along with specialty television channels which enhanced Al Jazeera’s accessibility in different regions throughout the world (iHorizons, â€Å"Al-Jazeera Channel†). In the year 2006, the satellite channel of Al Jazeera was launched that delivers latest news bulletins for its worldwide audience. Noticeably, the broadcasting news channel of Al Jazeera has formed an exceptional success towards the news broadcasting world as well as to the modern day philosophy of journalism. For the purpose of continuing this enormous success, especially in the news broadcasting world, Al Jazeera felt the large need to serve its huge number of worldwide viewers by using the medium of Internet. Al Jazeera firmly believes that the greater access of various broadcasting news by the web users would place the channel as a worldwide business leader in the news broadcasting world (Sharp, â€Å"The Al-Jazeera News Network: Opportunity or Challenge for U.S. Foreign Policy in the Middle East†). Before the emergence of Al Jazeera as a news broadcasting channel, the Arabic audiences generally acquired various other kind of news that included entertainment along with latest news updates relating to sports and finances among others, especially from the media that is owned by the state along with other satellite channels belonging to Arab. The several news that was broadcasted on these wide number of satellite channels were mainly controlled by the state authorities. In this connection, after the initial foundation of Al Jazeera, the worldwide viewers were able to remain updated with various latest news bulletin

Landscape art in Chinese traditional painting Assignment

Landscape art in Chinese traditional painting - Assignment Example The essay "Landscape art in Chinese traditional painting" explores the landscape art of China. The period that was referred to as the Tang Dynasty experienced many landscape paintings. These kinds of paintings were mainly done on mountains. This kind of painting had a style that was called the shuimohua whose main intention was to represent the emotion or the look of the atmosphere that indicated the nature’s â€Å"rhythm†. As time went by towards the end of the Tang dynasty the use of landscape painting slowly started changing and it was now viewed as a way in men would communicate with the world through the paintings. Apart from nature, these paintings also conveyed a number of themes in social, philosophical, or political areas. Thus with the closure of the Tang dynasty period more focus of these paintings and the artists were majorly on the world nature. Poets and painters in the Chinese traditional arts would go into the mountains to find something to represent in their drawings. Another period called the Song Dynasty that happened between 960 and 1267 saw the rise of different expression of landscapes. Long distances would be represented by use of blurred outlines, mountain contours represented as disappearing into the mist, and nature would be treated with certain kind of impression. The concern of the artist was on how to represent the peace in human beings and nature. This is eminent in the Taoist and Buddhist concepts. In the early Song Dynasty the artists would represent.

Bioinformatics for geneticists Essay Example for Free

Bioinformatics for geneticists Essay Bioinformatics is a recently evolved field in biology. The definition is still evolving but in essence, bioinformatics is the â€Å"computational branch of molecular biology† (Claverie 2007, p. 9). This is because the field integrates computer technology and information processing systems to combine biological data and analyse biological problems. The primary aim of this new field is the ascertainment of biological insights and establishment of a global view to support a unified understanding of concepts in biology. This found application in genetics by addressing the need for a database containing large volumes of biological information, especially on gene sequences. Eventually, bioinformatics allowed geneticists to access available data on genetics and combine new data for analysis to support continuity of knowledge building on genetics. (National Center for Biotechnology Information 2004) Bioinformatics Challenges for the Geneticist Bioinformatics create a number of challenges for geneticists. The aim of bioinformatics is three-fold. First is storage of large bulks of information in accessible databases. Second is the development and application of computer systems to support analysis. Third is the development of computer systems allowing interpretation of analysed data in a biologically meaningful manner. (Luscombe, Greenbaum Gerstein 2001) The second and third aims pose challenges for geneticists who need to be adept not only in accessing but also in developing and using information system tools in analysing and interpreting data in the context of genetic research. Having existing information in a database is useless without the competence to access specific data and integrate this with new data as well as analyse and interpret these in the context of the particular genetic research. Bioinformatics Needs of Geneticists Bioinformatics supports the needs of geneticists. One justification for computational systems in genetic research is to develop a global view of experimental design to integrate research efforts and results in different countries. This is necessary to link and bring together all existing knowledge on various areas of genetic research, especially nucleic and amino acid sequences. Another justification for bioinformatics in genetics research is database mining to facilitate the generation and testing of hypothesis on the functions and structures of gene and proteins by using available data as framework (Barnes Gray 2003) Managing and Manipulating Genetic Data Generally, there are two ways of managing and manipulating data. One is the use of software. A number of software emerged supporting the development genetic linkage maps and other purposes. Although software varies in function, the common aim is to aid in understanding genetic linkage information and automating the research process to support effective map building. (Weaver et al. 1992) The other is network systems comprised of a database and accessibility through network connections. Networks allow geneticists to access available information such as on genetic markers so they can combine this with new data for analysis and interpretation. This supports the continuity of global genetics research. (Cheung et al. 1996) Value of Bioinformatics The essence of bioinformatics to genetic research is innovativeness and huge potential in developing novel approaches to genetics research. Bioinformatics has the potential to analyse and interpret data not only for purposes of completing the research purpose but also for the practical purpose of usefulness in diagnosis or therapy. (Jones Phillip 2000) The potential of bioinformatics in translating genetic data into practical solutions for actual biological problems accounts for the expected increase in the value of the bioinformatics market to billions of dollars in the next five years (World Bioinformatics Market 2008). Bioinformatics for Genetic Study Designs and Analysis Bioinformatics allowed the development of better study designs and analysis for genetic research that address previous methodological problems. Genetics and bioinformatics both adhere to collaborative investigations. Genetic research necessitates phenotypes and researcher expertise in mapping or sequencing studies while bioinformatics depends on high quality databases as well as access and integration tools and expertise. (Schmidt 2003) Collaborative designs constitute a common challenge in genetics and bioinformatics. With bioinformatics, problem identification in research focuses on testing hypothesis such as gene identification in cancer research or linking new and previous data such as on mutations. Data gathering is through data mining by searching various databases using the Internet and networks. Data is then subject to integration and organisation according to the biological problem studied such as combining data on protein structure with its properties and functions contained in various databases. Data analysis considers breadth and depth. Breadth refers to analytical processes comparing genes using algorithms while depth pertains to the determination protein encoding of a particular gene. Tools such as modelling and simulation support data interpretation and presentation. (Luscombe et al. 2001) In the case of gene expression research, this required the efficient analysis of microarrays and population. Bioinformatics provided two-colour microarrays as a more effective analytical design by covering twice the number of distant pair design profiles and population. (Fu Jansen 2006) In cancer epidemiology research, bioinformatics supported the integration of genetic susceptibility factors to create innovative study designs (Malats Castano-Vinyals 2007). Non-Coding RNA Bioinformatics Bioinformatics plays an important role in non-coding RNA research. Hiro et al. (2006) explained that non-coding RNA genes have weak statistical signals and the potential of bioinformatics addresses this limitation by providing systems of searching and predicting non-coding RNA. Huang et al. (2008) discussed that bioinformatics can support non-coding RNA search through CYK-type and covariance programs but there is need to improve further programs to accommodate arbitrary RNA structures. Bioinformatics and Cancer Genetics Bioinformatics supports genetic research on cancer. Kato and Kato (2006) reported that that bioinformatics supports cancer research through omics data functions to support knowledge on genetic biomarkers linked to cancer including ‘predisposition, diagnostic, prognostic, and therapeutic markers’ using data and text mining programs. Barnes and Gray (2007) explained the contributions of bioinformatics to cancer genetics as cancer genomes, cancer genetics design, cancer gene mutations, and other breakthroughs. Bioinformatics and Gene Identification Biotechnology significantly contributes to the identification of disease genes by allowing the management of large bulks of data including DNA sequences and microarray data in identifying genetic functions that cause diseases. Chen and Chen (2008) explained the role of bioinformatics in linking genes and disease outcomes through gene identification algorithms incorporates into analytical software. Algorithms direct calculation and data processing by providing a sequence of instructions in handling data. Tu et al. (2006) discussed the use of the network-based stochastic algorithm in inferring disease causing genes and identifying regulatory pathways. Bioinformatics in Single Gene Orders and Mutations Bioinformatics is also useful in studying single gene orders and mutations to ascertain genetic causes of monogenic diseases. Barnes and Gray (2007) explained that the data storage and processing solutions of bioinformatics led to outcomes such as the genome-wide map of monogenic diseases, understanding of the nature of mutations in single gene orders, and implications of epigenetics on Mendelian traits. Cooper, Stenson and Chuzhanova (2006) explained that bioinformatics support studies of single gene orders and mutations via the Human Gene Mutation Database (HGMD) that contains a wide range of information on nuclear genes, particularly germ-line mutations that are associated with inherited diseases. In 2005, the database contained 53,000 lesions together with data on DNA sequences, splice junction, and polymorphisms. The database provides core data with which new data is combined to build knowledge on monogenic diseases. Bioinformatics and Genetic Data Mining Bioinformatics supports data mining and analysis in genetics research. Wang et al. (2005) explained that bioinformatics support genetic data mining and analysis through various databases on areas of genetic studies such as the gene mutation databases as well as software or programs operating through context-based algorithms. This enables analytical processes, to integrate genetic data, via clustering methods for microarrays, comparison of DNA structures, identification of sequence characteristics, discovering disease markers, indexing of pathways and sequences, among others analytical outcomes. Geneticists can select which algorithmic tool in bioinformatics to use in managing and analysing particular data involved in the study or integrating data from various databases. Since bioinformatics continues to evolve, new analytical tools would evolve to address current problems in data mining and analysis for genetic research. The National Center for Biotechnology Information (2004) identified two breakthrough contributions of bioinformatics in genetic data mining and analysis. One is protein modelling. DNA sequences can encode proteins with particular functions but protein structures cannot be visually seen using x-ray crystallography or nuclear magnetic resonance spectroscopy making it difficult to study protein encoding. Bioinformatics allows protein modelling to visualize proteins in three-dimensions and by using templates enables the prediction of structures of similar proteins. The other is genomic mapping for the management of sequence information, which is painstaking when manually made. Bioinformatics provide maps to guide geneticists in pointing the precise location of gene sequences. Bioinformatics in Improving Genetic Research Schmidt (2003) explained that bioinformatics improve genetic research by providing evolving and improving means of managing data explosion. Research advancements resulted to large data on nucleotide sequences comprising DNA and amino acid sequences comprising proteins stored in databases around the world. However, manually pulling out data for use in succeeding studies and analysing vast data takes time. Manual study of outputs has become tedious. Bioinformatics improve genetic research by allowing geneticists to search databases for the gene composition, proteins and mutations as well as model the chemical and structural compositions of living cells to support various health implications such as cancer and drug studies. A researcher cannot be familiar with every known genetic interaction, so that bioinformatics becomes necessary in managing and interpreting systems-level information. Conclusion Bioinformatics has transformed the field of biology, particularly genetics, by providing approaches, processes and tools to ease the difficulties of managing and analysing large bulks of data that have accumulated over decades of genetic research. Bioinformatics has made genetics an information and practice science from primarily a laboratory-based science. Furthermore, the continuously evolving field of biometrics holds the potential to facilitate further advancements in genetics through the development of new software, algorithms, and processes useful in filling research gaps in genetics. However, geneticists play an important role in directing and enhancing the role of bioinformatics in genetics. This requires geneticists to understand bioinformatics to develop data processing and analytical tools addressing the different needs in various areas of genetic research. References Barnes, M. R,. Gray, I. C. eds. , 2007. Bioinformatics for geneticists. 2nd ed. Hoboken, NJ: Wiley Publishing, Inc. Chen, Y. P. Chen, F. , 2008. Using bioinformatics techniques for gene identification in drug discovery and development. Current Drug Metabolism, 9(6), pp. 567-573. Cheung, K. H. , Nadkarni, P. , Silverstein, S. , Kidd, J. R. , Pakstis A. J. , Miller P. Kidd K. K. , 1996. PhenoDB: an integrated client/server database for linkage and population genetics. Computers and Biomedical Research, 29(4), pp. 327-337. Claverie, J. , 2007. Bioinformatics for dummies. 2nd ed. Hoboken, NJ: Wiley Publishing, Inc. Cooper, D. N. , Stenson, P. D. Chuzhanova, N. A. , 2006. The Human Gene Mutation Database (HGMD) and its exploitation in the study of mutational mechanisms. Current Protocols in Bioinformatics. Unit 1. 13. Available at: http://www. ncbi. nlm. nih. gov/pubmed/18428754? dopt=Abstract [Accessed 14 October 2008] Fu, J. Jansen, R. C. , 2006. Optimal design and analysis of genetic studies on gene expression. Genetics, 173(3), pp. 1993-1999. Hiro, K. , Akio, K. Masaru, T. , 2006. Bioinformatics analyses of non-coding RNA. Protein, Nucleic Acid and Enzyme, 51(16), pp. 2420-2424. Huang, Z. , Wu, Y. , Robertson, J. , Feng, L. , Malmberg, R. Cai, L. , 2008. Fast and accurate search for non-coding RNA pseudoknot structures in genomes. Bioinformatics, 24(20), pp. 2281-2287. Jones, P. B. Phillip, B. C. , 2000. The commercialization of bioinformatics. Electronic Journal of Biotechnology, 3(2). Available at: http://www. scielo. cl/scielo. php? pid=S0717-34582000000200002script=sci_arttext [Accessed 14 October 2008] Katoh, M. Katoh, M. , 2006. Bioinformatics for cancer management in the post-genome era. Technology in Cancer Research Treatment, 5(2), pp. 169-175. Luscombe, N. M. , Greenbaum, D. Gerstein, M. , 2001, What is bioinformatics? A proposed definition and overview of the field. Methods of Information in Medicine, 40, pp. 346–58. Malats, N. Castano-Vinyals, G. , 2007. Cancer epidemiology: study designs and data analysis. Clinical and Translational Oncology, 9(5), pp. 290-297 National Center for Biotechnology Information, 2004 Bioinformatics, Available at: http://www. ncbi. nlm. nih. gov/About/primer/bioinformatics. html [Accessed 14 October 2008] Schmidt, C. W. , 2003. Data explosion: bringing order to chaos with bioinformatics. Environmental Health Perspectives, 111(6), pp. 340-345. Tu , Z. , Wang , L. , Arbeitman, M. , Chen, T. Sun, F. , 2006. An integrative approach for causal gene identification and gene regulatory pathway inference. Bioinformatics, 22(14), pp. 489-496 Wang, J. T. L. , Zaki, M. J. , Toivonen, H. T. T. Shasha, D. E. eds. , 2005. Data mining on bioinformatics. London: Springer-Verlog. Weaver, R. , Helms, C. , Mishra, S. K. Donis-Keller, H. , 1992. Software for analysis and manipulation of genetic linkage data. American Journal of Human Genetics, 50(6), pp. 1267–1274. World Bioinformatics Market. 2008. ReportLinker. com. Available at: http://www. reportlinker. com/p092468/World-BioinformaticsMarket. html [Accessed 14 October 2008]