Cuneiform - Mesopotamian Writing in Wedges

Cuneiform - Mesopotamian Writing in Wedges Cuneiform, one of the earliest forms of writing, was developed from Proto-Cuneiform in Uruk, Mesopotamia around 3000 BC. The word comes from the Latin, meaning wedge-shaped; we dont know what the script was actually called by its users. Cuneiform is a syllabary, a writing system used to stand for syllables or sounds in a variety of Mesopotamian languages.   According to illustrations included in Neo-Assyrian sculptural reliefs, the triangular symbols of cuneiform were created with wedge-shaped styluses made from the giant cane (Arundo donax) a reed widely available in Mesopotamia, or carved from bone or formed from metal. A cuneiform scribe held the stylus between his thumb and other fingers and pressed the wedge-shaped end into small soft clay tablets held in his other hand. Such tablets were then fired, some intentionally but often accidentally- fortunately for scholars, many cuneiform tablets were not meant for posterity. Cuneiform used for keeping momentous historical records was sometimes chiseled into stone. Decipherment Cracking the cuneiform script was a puzzle for centuries, the solution for which was attempted by numerous scholars. A few major breakthroughs in the 18th and 19th centuries led to its eventual decipherment. The Danish king Frederik V (1746-1766) sent six men to the Arab world to answer scientific and natural history questions and learn the customs. The Royal Danish Arabia Expedition (1761-1767) was comprised of a natural historian, a philologist, a doctor, a painter, a cartographer, and an orderly. Only the cartographer Carsten Niebuhr [1733-1815] survived. In his book Travels Through Arabia, published in 1792, Niebuhr describes a visit to Persepolis where he made copies of the cuneiform inscriptions.Next came philologist Georg Grotefend [1775-1853], who deciphered but didnt claim to translate the Old Persian cuneiform scripts. The Anglo-Irish clergyman Edward Hincks [1792-1866] worked on translations during this period.The most important step was when Henry Creswicke Rawlinson [1810-1895] scaled the steep limestone cliff above the Royal Road of the Achaemenids in Persia to copy the Behistun inscription. This inscription was from the Persian king Darius I (522-486 BC) who had the same t ext bragging about his exploits inscribed in cuneiform in three different languages (Akkadian, Elamite, and Old Persian). Old Persian had already been deciphered when Rawlinson climbed the cliff, allowing him to translate the other languages. Finally, Hincks and Rawlinson worked on another important cuneiform document, the Black Obelisk, a Neo-Assyrian black limestone bas-relief from Nimrud (today in the British Museum) referring to the deeds and military conquests of Shalmaneser III (858-824 BC). By the end of the 1850s together these men were able to read cuneiform. Cuneiform Letters Cuneiform writing as an early language doesnt have the rules about placement and order as our modern languages do. Individual letters and numbers in cuneiform differ in placement and position: the characters can be arranged in different directions around lines and dividers. Lines of text can be horizontal or vertical, parallel, perpendicular, or oblique; they can be inscribed written beginning from the left or from the right. Depending on the steadiness of the hand of the scribe, the wedge shapes may be small or elongated, oblique or straight. Each given symbol in cuneiform could represent a single sound or syllable. For example, according to Windfuhr there are 30 Ugaritic word-related symbols that are made anywhere from 1-7 wedge shapes, while Old Persian had 36 phonic signs made with 1-5 wedges. The Babylonian language used over 500 cuneiform symbols. Using Cuneiform Originally created to communicate in Sumerian, cuneiform proved very useful for the Mesopotamians, and by 2000 BC, the characters were used to write other languages used throughout the region including Akkadian, Hurrian, Elamite, and Urartian. In time the consonantal script of Akkadian replaced cuneiform; the last known example of the use of cuneiform dates to the first century AD. Cuneiform was written by usually anonymous palace and temple scribes, known as dubsars in early Sumerian, and umbisag or tupsarru (tablet writer) in Akkadian. Although its earliest use was for accounting purposes, cuneiform was also used for historical records such as the Behistun inscription, legal records including the Code of Hammurabi, and poetry like the  Epic of Gilgamesh. Cuneiform was also used for administrative records, accounting, mathematics, astronomy, astrology, medicine, divination, and literary texts, including mythology, religion, proverbs, and folk literature. Sources The Cuneiform Digital Library Initiative is an excellent source of information, including a sign list for cuneiform written between 3300-2000 BC. This entry was updated by N.S. Gill Cathcart KJ. 2011. The earliest contributions to the decipherment of Sumerian and Akkadian. Cuneiform Digital Library Journal 2011(001).Couture P. 1984. BA Portrait: Sir Henry Creswicke Rawlinson: Pioneer Cuneiformist. The Biblical Archaeologist 47(3):143-145.Garbutt D. 1984. The significance of ancient Mesopotamia in accounting history. The Accounting Historians Journal 11(1): 83-101.Lucas CJ. 1979. The Scribal Tablet-House in Ancient Mesopotamia. History of Education Quarterly 19(3): 305-32.Oppenheim AL 1975. The Position of the Intellectual in Mesopotamian Society. Daedalus 104(2):37-46.Schmandt-Besserat D. 1981. Decipherment of the Earliest Tablets. Science 211(4479)283-285.Schmitt R. 1993. Cuneiform Script. Encyclopedia Iranica VI(5):456-462.Windfuhr G. 1970. The Cuneiform Signs of Ugarit. Journal of Near Eastern Studies 29(1):48-51.Windfuhr G. 1970. Notes on the old Persian signs. Indo-Iranian Journal 12(2):121-125.Goren Y, Bunimovitz S, Finkelstein I, and Nadav Na. 2003. The l ocation of Alashiya: New evidence from petrographic investigation of Alashiyan Tablets. American Journal of Archaeology 107(2):233-255.

Big Data for Fraud Detection in Banking Sector - Free Samples

The detection of fraud in banking sector is an important part to eliminate risks of any cyber-attack or data breach. Banks are often vulnerable to fraud and this affects banks and customers (Flood, Jagadish and Raschid 2016). Most of the frauds in banking sector occur due to either human negligence or any malpractice or system defect. Frauds in banking sector impact customers and bank itself in a very negative way because both banks and customers can lose sensitive data and money. Nowadays, big data analytics has emerged as a game changer in every sector and it provides a more reliable and flexible usage in working of every sector (Fuschi and Tvaronavi?ien? 2014). Banking sector has now started to adopt big data analytics for its operations due to its usefulness, reliability and speed. The purpose of this report is to analyze big data use in banking sector and how big data analytics help banking sector to detect fraud. The outline of the report is data collection and storage system, consumer-centric product design, r mendation system and business continuity plan in case of power outage. The data in banking sector collected are credit card usage details, personal emails sending and receiving or account details or any other regular actions on a daily basis. The data collected are not only from internal source of banking sector but also from external sources which sometimes requires permission from third party. These sources are internet based navigation sites such as social media, Yahoo, Google or Bing. Google and Yahoo provide Gmail and Yahoo mail respectively (Srivastava and Gopalkrishnan 2015). The data are categorized into two types and they are primary data and secondary data. Primary data are information about employees, their head supervisors, managers, senior managers and customers, which are collected for proper functioning of banking sector. Secondary data are information of internal and external behavior and working of banking sector which are collected for different purposes and used for betterment of banking sector (Kim, Trimi and Chung 2014). Both types of data are in the form of structured, semi-structured or unstructured data. Therefore, they are arranged in orderly manner to access and operate easily on each form of data. The data in banking sector are unstructured data mainly and they are plicated to use in its initial form. Big data deals with this type of data and in banking sector, unstructured data are either machine or human generated. Machine generated unstructured data are scientific data or photographs and videos such as security or surveillance photos or images. Human generated unstructured data are internal texts within document files, logs, credit card or debit card details and emails, and website content (Raju, Bai and Chaitanya 2014). The data collection is through various sources are then mined that is data mining is done on the collected data. Data mining is exploring and analyzing of collected data to find data suitable for different purposes in banking sector. Data mining technique is used for five major categories of banking sector. They are customer retention, automatic credit card approval, fraud detection in banking sector, marketing and risk management. Data after data mining is used mainly for risk management and fraud detection in banking sector (Pouramirarsalani, Khalilian and Nikravanshalman 2017). This is explained as when data is stored in storage then big data has features of protecting thes e data from going into hands of fraudsters. Banks have massive amounts of data which needs to be stored in an efficient way. The new storage systems in banking sector for big data provides solutions and they are reconstructing the backup systems with improved performance that will not change the existing backup routine. The second solution is building a Disaster Recovery (DR) system that will help in an emergency case such as disaster or power outage. The third solution is managing data lifecycle for improvement of data utilization efficiency (Chitra and Subashini 2013). The explanation for first solution is to upgrade physical tapes from existing Disk-to-Tape (D2T) mode to the new Disk-to-Disk-to-Tape (D2D2T). The new tape provides more reliability and space to store data of size more 9TB and has high backup speed. The description of second solution is new Disaster Recovery system which is built after upgrading local backup system using tape. The Disaster Recovery system is used for storing data at different location in banking sector. The full back up in first solution using tapes is further stored in storage system that is Disaster Recovery system (Jones, Aggarwal and Edwards 2015). The storage is done by identifying unique blocks of huge data and store in Disaster Recovery system. The next backup is done to match the unique block with the blocks stored in the system to destroy duplicate data and then save all unique data. The leftover data is again checked so that no data is left vulnerable to any fraud. The left over data is also checked to analyze if any data can be effective for future purpose. The third solution is that the data is processed and stored on peripheral system and near-line data (twenty to thirty days old) is backed up regularly and stored on disks (Rao and Ali 2015). These data is tested for integration and effectiveness and to recover if any fault occurs. The long- term data (ninety days old or older ) is backed up regularly and stored on physical tapes. Both the data is then stored at different locations in Disaster Recovery system. This new storage system solution helps in better backup performance, recovery process is quick, and data storage is multi-level. The long-term relationships with customers will require fulfilling demands and needs of customers. This is achieved through customer relationship management (CRM) systems. Customer relationship management is used by organizations to optimize contact with customers and build long-term relationships (Elgendy and Elragal, 2014). The various ways are telephone calls or emails to attract and retain customers. Customer relationship management system is based on infrastructure of customer data and information technology. Electronic customer relationship management systems provides all ways of munication with the customers. The ways are sales, delivery, email, online marketing and purchasing, online banking or many other online services. Customer relationship management system in banking sector is achieved by maintaining relationships with existing customers and creating relationships with new customers (Dalir et al. 2017). The benefits are providing better service to existing and new custom ers and identification of specific values related to each sector of the business environment and existing or new customers. The other are dividing different market segments to improve long-term relationships with target customers and service fees which is charged increases revenue for banking sectors. The additional benefits are implementation of this system helps in increasing customer satisfaction and their loyalty and interest rates are increased to attract more customers (Baesens, Van Vlasselaer and Verbeke 2015). The seventh one is online advertising to attract customers and increased effectiveness and classification of customers. Electronic customer relationship management system in banking sector has a structure which is based on two factors and they are trust and satisfaction. They are mitment, loyalty, customer retention, and r mendation willingness. The other factors which construct the system through customer’s point of view are information, convenience and munication channel (Srivastava and Gopalkrishnan 2015). Trust is important for customers and bank relationship and the trust is referred to protection of every individual’s bank account details and credit card or debit card details. Customer satisfaction is a quality in bank and customer relationship that will help them to trust on banks. Customer satisfaction in bank is very important to retain existing customers. mitment is to partner close relationship with customers for valuable effort. Loyalty provides future benefits to banking sector even when there is a strong petition (Moro, Cortez and Rita 2015). Loyalty is a mitment to banks f rom customers to deal with them. Loyal customers will also r mend particular banks to their relatives or customers. Customer retention is important as exiting customers are more profitable than new customers. Therefore, fulfilling needs of existing customers is more important. The above factors help customers to willingly r mend services of bank to others as they are satisfied with services of bank. Information is correct, accurate or updated are not is necessary for the structure of the system. Convenience is important as customers will e after considering location of bank (Greenberg 2014). Geographic location of bank with working hours and others are included in the system. munication channel like mobile, ATM, text, e-mail are used by customers to know bank services. R mendation system is used as a tool in banking sector to help customer by giving service when bank employees are not available on a particular time. R mendation system provides precise and timely information to customers. The system is virtual consultant to customers providing better information and services (Ravi and Kamaruddin 2017). The r mendation system can be explained by the following process. The system analysis provides specifications that are authenticated with username and password for logging into system and questionnaire type survey for the user regarding product interest. The next two specifications are giving advice to user after the pletion of interview and when there is query regarding search engine, explanation term should be there in the search engine (Lin et al. 2015). The last two specifications are to provide answers by the expert to questions by the customer and also update the knowledge base in system (Davenport and Dychà © 2013). The system design contains human expert, knowledge acquisition facility, knowledge base, inference engine, working memory, user interface and the user. This is the system bank follows in r mendation system. R mendation system is tested using black-box and white-box testing to know that the system is properly functioning and also integrated (He, Tian and Shen 2015). The testing is also done to ensure satisfactory working of every feature. The testing is done on the database so that the data can be accessed with respective attributes and required data can be fetched. The application is important in r mendation system because it provides a platform for direct munication of user and banking sector (Ng and Kwok, 2017). This is a place where user can register and then they can login with username and password. This is a place where user can get details about banking process in about us section and also contact details of bank in contact us section. The system design is implemented in application and the working of system structure is defined in application. These are the features and functions of r mendation system and this helps in clearing customer’s doubts and queries. The customers can also give feedback in r mendation system (Flood, Jagadish and Raschid 2016). The r mendation system in banking sector are developed using information system and are also called expert system in other sectors. Survival of online business in case of power outage or any other disasters is a major discussion for any banking sector. The business continuity plan has four steps in banking sector and they are business impact analysis, risk assessment, risk management and monitoring and testing. The first step is business impact analysis that helps to identifies critical business functions and impact of loss of functions for example operational and financial on banking sector. This process is analyzed by senior management representatives and board of directors. The business impact analysis is required at times when there is disruption in power outage and any disaster (Harvard Business Review, 2017). The second step is risk assessment which helps to determine cause of power outage or other disasters. Senior management analyzes the risk through risk assessment processes and then develop program to tackle the risks. The third step is risk management which is important to develop and maintain business continuity plan in baking sector. Risk Management in banking sector is based on first two steps that is business impact analysis and risk assessment (West and Bhattacharya 2016). These realistic events can be formally declared and updated by senior management annually to employees in banking sector. The fourth step is monitoring and testing which is a confirmation to business continuity plan in banking sector that all the steps are revised and evaluated without overlooking any significant changes. This step is finally evaluated by senior bank management (Forbes 2017). This is when they can mit necessary workforce, budget and time to test the program for validation of business continuity plan in an event of any disruption in banking sector. The above discussions conclude that fraud detection in banking is a very important process and big data analytics is used in banking sector for fraud detection techniques. The discussions shows that the data collection system in banking sector is plicated as there are huge data sets in banking sector. The data collected need to be stored in places where there is security and proper storage place to be chosen. The actions to be taken on collected data that is services to customers and system to r mend customers are also discussed. The business continuity plans on the basis of possible disruptions were the key points of this report. The report overall concludes that implementation of big data and big data analytics is necessary for banking sector. Big data and big data analytics are used to collect data and store and finally use for various purposes in banking sector. Banking sectors regularly produce huge data that are sensitive and can be controlled through big data and big data anal ytics. Therefore, it can be concluded that big data and big data analytics can help banking sector to detect fraud and prevent the risks of fraud using various processes. Baesens, B., Van Vlasselaer, V. and Verbeke, W., 2015.  Fraud analytics using descriptive, predictive, and social network techniques: a guide to data science for fraud detection. John Wiley & Sons. Chitra, K. and Subashini, B., 2013. Data mining techniques and its applications in banking sector.  International Journal of Emerging Technology and Advanced Engineering,  3(8), pp.219-226. Dalir, M., Zarch, M.E., Aghajanzadeh, R. and Eshghi, S., 2017. The Role of e-CRM in the Quality of Customer-Bank Relationship.  Human Resource Management,  4(2), pp.12-22. Davenport, T.H. and Dychà ©, J., 2013. Big data in big panies.  International Institute for Analytics,  3. Elgendy, N. and Elragal, A., 2014, July. Big data analytics: a literature review paper. In  Industrial Conference on Data Mining  (pp. 214-227). Springer, Cham. Flood, M.D., Jagadish, H.V. and Raschid, L., 2016. Big data challenges and opportunities in financial stability monitoring.  Banque de France, Financial Stability Review,  20. Flood, M.D., Jagadish, H.V. and Raschid, L., 2016. Big data challenges and opportunities in financial stability monitoring.  Banque de France, Financial Stability Review,  20. Forbes . (2017).  Forbes We e. [online] Available at: https://www.forbes /sites/tomgroenfeldt/2013/06/11/banks-use-big-data-to-understand-customers-across-channels/#22286a453218 [Accessed 9 Dec. 2017].  Ã‚  Ã‚  Ã‚  Ã‚   (Forbes , 2017) Fuschi, D.L. and Tvaronavi?ien?, M., 2014. Sustainable development, Big Data and supervisory control: service quality in banking sector.  Journal of security and sustainability issues,  3(3), pp.5-14. Greenberg, M.R., 2014.  Protecting seniors against environmental disasters: From hazards and vulnerability to prevention and resilience. Routledge. Harvard Business Review. (2017).  How Banks Are Capitalizing on a New Wave of Big Data and Analytics - SPONSOR CONTENT FROM COGNIZANT. [online] Available at: https://hbr.org/sponsored/2016/11/how-banks-are-capitalizing-on-a-new-wave-of-big-data-and-analytics [Accessed 9 Dec. 2017].  Ã‚  Ã‚   (Harvard Business Review, 2017) He, W., Tian, X. and Shen, J., 2015. Examining Security Risks of Mobile Banking Applications through Blog Mining. In  MAICS(pp. 103-108). Jones, S., Aggarwal, A. and Edwards, H., 2015. Creating Futures Through Research–Meeting Challenges, Embracing Opportunities & Delivering Impact. Inaugural Collaborative Research Conference, INtel Institute of Higher Education, Nairobi. Kim, G.H., Trimi, S. and Chung, J.H., 2014. Big-data applications in the government sector. munications of the ACM,  57(3), pp.78-85. Lin, C.C., Chiu, A.A., Huang, S.Y. and Yen, D.C., 2015. Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts’ judgments.  Knowledge-Based Systems,  89, pp.459-470. Moro, S., Cortez, P. and Rita, P., 2015. Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation.  Expert Systems with Applications,  42(3), pp.1314-1324. Ng, A.W. and Kwok, B.K., 2017. Emergence of Fintech and cybersecurity in a global financial centre: Strategic approach by a regulator.  Journal of Financial Regulation and pliance,  25(4), pp.422-434. Pouramirarsalani, A., Khalilian, M. and Nikravanshalmani, A., 2017. Fraud detection in E-banking by using the hybrid feature selection and evolutionary algorithms.  IJCSNS,  17(8), p.271. Raju, P.S., Bai, D.V.R. and Chaitanya, G.K., 2014. Data mining: Techniques for enhancing customer relationship management in banking and retail industries.  International Journal of Innovative Research in puter and munication Engineering,  2(1), pp.2650-2657. Rao, K.V. and Ali, M.A., 2015. Survey on Big Data and applications of real time Big Data analytics. Ravi, V. and Kamaruddin, S., 2017, December. Big Data Analytics Enabled Smart Financial Services: Opportunities and Challenges. In  International Conference on Big Data Analytics  (pp. 15-39). Springer, Cham. Srivastava, U. and Gopalkrishnan, S., 2015. Impact of big data analytics on banking sector: Learning for Indian banks.  Procedia puter Science,  50, pp.643-652. Srivastava, U. and Gopalkrishnan, S., 2015. Impact of big data analytics on banking sector: Learning for Indian banks.  Procedia puter Science,  50, pp.643-652. West, J. and Bhattacharya, M., 2016. Intelligent financial fraud detection: a prehensive review. puters & Security,  57, pp.47-66.

Prostate cancer among African American men Essay

Prostate cancer among African American men - Essay Example In essay "Prostate cancer among African American men" author describes the connection between genetics, social status, health and cancer occurrence among Afro-American in the USA. Despite an intensive campaign that is directed to men in order for them to undergo regular medical screening, the majority of them are still reluctant resulting to increased cases of deaths caused by prostate cancer. Prostate cancer is a major type of cancer that affects the reproductive system of males especially those above the age of 45 years. However, there are cases of insistent prostate cancer that results in major complications on the reproductive system. This paper seeks to discuss medical compliance treatment of prostate cancer among African American men. As mentioned earlier, African-American men are at high risk of prostate cancer development. According to the 2003-2007 US medical report, for every 100,000 African American men, 234.6 cases of prostate cancer were reported in the US as compared to 150.4 cases per 100,000 white men. Due to the high number of cases of prostate cancer among the African American men, their mortality rate is more than double as compared to the white men. For example, between 2003 and 2007, 54.2 cases of mortality rates were reported for every 100,000 African-American while only 22.3 cases of mortality rates occurred among the white men. In 2001, more than 31,500 deaths due to prostate cancer were reported. Since 2001, at least 221,000 cases of prostate cancer are reported per year (Chronic Disease Indicators, 2012). One of the major obstacles that are affecting the efforts of the medical personnel is lack of early detection guidelines. In the same way, men are hesitant to screening thus making it difficult to curb the diseases during its early stages. In its endeavor to address the challenges faced by the African American men as far as control of prostate cancer is concerned, American Cancer Society, advocates for adoption of two major strategies . First, it recommends that men at the age of 45 years should emulate digital rectal examination (DRE). Secondly, the society recommends for prostate-specific antigen (PSA) blood test for men who are between the ages of 45 and 50 years. Even though a task force that is concerned with prevention services depicts that there is insufficient evidence on the implications of DRE and PSA on the prevention and control of prostate cancer, the task force argues that a strong relationship between doctors and patients should be maintained to ensure that men are interested in undertaking regular screening. Additionally, the task force maintains that PSA is a better strategy of early detection. However, it is still unclear of how early detection

Geology Coursework 1 Essay Example | Topics and Well Written Essays - 1000 words

Geology Coursework 1 - Essay Example The most attractive landscape feature found in Los Angeles is the parking lot (cited in Ben-Joseph, 2012). Geographic data indicate that parking lots cover roughly one third of the land area in Los Angeles. Mainly built structures form the landscapes of Los Angeles. It is also found that certain types of rocks including igneous rocks, sedimentary rocks, and metamorphic rocks are some influencing elements of landscapes in Southern California. Natural changes to these rocks significantly influence the structure of the region’s landscapes. References Ben-Joseph, E. (2012). When a parking lot is so much more. The New York Times: The Opinion Pages. Retrieved from http://www.nytimes.com/2012/03/26/opinion/when-a-parking-lot-is-so-much-more.html?_r=1 Forman, Godron & Bertrand. (2003). Landscape ecology: Definition of a multidisciplinary approach. In. F. Burel & J. Baudry (Eds), Landscape Ecology: Concepts, Methods, and Applications. USA: Science Publishers. 4. Plate boundary can be s imply referred to a point where two or more plates meet. A plate boundary has altered the land in New Zealand. The plate boundary between Pacific and Australian Plates separates New Zealand territory (What on Earth, 2012). As per reports, throughout South Island, it is observed that both Pacific Plate and Australian Plate slide pass each other and this movement leads to a â€Å"slight obduction of the Pacific Plate over the Australian Plate† (Real Integrity Mall, 2012). Consequently, this sliding process resulted in the formation of Alpine Fault and Southern Alps. Similarly, in the Fiordland south region, the sliding process causes the subduction of the Australian Plate under the Pacific Plate and thereby the formation of Puysegur Trench (Real Integrity Mall, 2012). The plate boundary location has changed over time. It seems that such movements cause changes to earth’s geological structure and ultimately alter land in which the plate boundary is located. References Rea l Integrity Mall. (2012). Geology of New Zealand. Retrieved from http://mall-uk.realint.com/keyword/Geology+of+New+Zealand What on Earth. (2012). Plate tectonics, spreading ridges, triple junctions. Australian Plate. Retrieved from http://whatonearth.olehnielsen.dk/plates/australian.asp 5. Headland is a hard feature. As Nordstrom (2000) describes, a headland can be simply defined as a land point with higher altitude and extended shape into a body of water. Headlands are comprised of harder and highly resistant rock and inlets; and generally headlands are formed as a result of sea attacks on coast comprising of alternating bands of soft and hard rock (p. 108). Ultimately, this hard feature is shaped by erosion. Cape Canaveral situated in Florida is a well known example of headland. Cliff is a soft feature. As Jackman and Wren (2000) define, a cliff is simply a rough vertical rock exposure; and erosion and weathering processes lead to the formation of cliffs. Studies reveal that cliff s are structured as erosions landforms, due to rocks that are highly resistant to the processes of erosion and weathering. Sedimentary and igneous rocks are more likely to form features such as cliffs. Royal Gorge cliffs located in Colorado is an example of cliff. Reference Jackman, J & Wren, W. (2000). Developing Non-Fiction Skills. UK: Nelson Thornes. Nordstrom, K. F. (2000). Beaches and Dunes of Developed Coasts. USA: Cambridge University Press. 6. Generally, hot air

The Changes In The Narrators View Of Sonny Essays -- essays research p

The Changes in the Narrator's View of Sonny Can one know another's thoughts? Through dialogue, actions, and events, the thoughts and views of a man of whom we know not even a name are shown. The man is the narrator of "Sonny's Blues" and his thoughts we are shown are those directed towards his brother. Over the course of the story, there are three major stages or phases that the narrator goes through, in which his thoughts about his brother change. We see that those stages of thought vary greatly over the narrator's life, from confusion about his brother to understanding. Each phase brings different views of his own responsibility toward his brother, his brother's manhood, and his brother's sense of reality. Through out the story, three of the narrator's view are changed, the first of which is Sonny's manhood. During the first phase, early in the story, the narrator showed that he viewed Sonny as a child. "I was beginning to realize that I'd never seen him so upset before... [and decided this was] one of those things kids go through and that I shouldn't make it seem important."(49) This quote is an example of how the narrator viewed his brother. He not only thought Sonny acted as a kid, but was also too young to be planning a future or career. "He still wasn't a man yet, he was still a child, and they had to watch out for him in all kinds of ways."(51) The narrator decided that he would plan Sonny's future and when Sonny rebelled, the narrator saw it as yet another childish action. Another way in which the narrator's overall view changed was his view on whether Sonny's idea of reality was sound. Still in the first phase, the narrator often presents his view of reality and when Sonny rejects it, the narrator feels Sonny is being unreasonable. For instance, "'Well Sonny,' I said, gently, "you know people can't always do exactly what they want to do-' 'No I don't think that,' said Sonny, surprising me."(49) Actually, Sonny understood life much more clearly than the narrator, but the narrator did not realize that then. He thought that perhaps Sonny was just too young or too high on drugs to understand what life was about. Finally, the third view changed was the narrator's responsibility towards Sonny. Before the brothers' mother died, the narrator promised he would take it upon himself to take care of Sonny shou... ... finally started caring about Sonny instead of try to care for Sonny. He no longer saw him as just something to be taken care of, he finally began to see him as a brother. He became sensitive to what offended Sonny and took caution to avoid them. He was willing to be interested in what Sonny interested in. Finally, he was willing to sit and listen to Sonny instead of telling him how to run his life. All of these were drastic changes from when their mother had first died and improved the brothers' relationship. Through out the story it is as if the narrator is descending a stair well. Each stage that the narrator goes through is another flight of stairs and each flight of stairs he descends brings him closer to an understanding of Sonny. The narrator descended one flight and it changed his views one way, another flight and his views changed again. During the whole ordeal he can see Sonny, yet his views of Sonny are distorted or blurred. After each stage he believes his new view is the correct one, however it is not until he reaches the ground that he gets a true idea of what Sonny is like. It is then that he brings himself down to Sonny's level and begins seeing Sonny as an equal.

My Ideal School

My ideal school Education is something that makes our future better. The ideal school should be able to teach a person to make a good living and how to take care of our own responsibilities in life. My ideal should be situated at accessible area where students will have short travel time, but it is important that it’s not in the middle of the town where there are heavy traffics. It should be also far away from factories; so that it can create the learning atmosphere and students can concentrate on their lessons.The building also should be big enough to arrange the classes in an organized way and it must include all facilities that a good school need to give the students for better education. There should be also playground and recreation facilities where the students can refresh their mind during the breaks. The teachers should be able to prepare the lessons as interesting as possible and must be concerned about the students. It is necessary that they are capable enough to mot ivate the students to study in an effective way. They should help the students solve not only for learning problems but also for all the social problems.Teacher should always be ready for the students when they need help not only as a teacher but also as a parent or a friend. In my ideal school, students should not be afraid to make mistakes or ask questions. I believe that the best way to learn is by asking questions. If they don’t agree or understand, they shouldn’t hesitate to ask questions. Nobody is perfect and it is nature that everyone makes mistake. Everyone should point out other people mistakes in a good way, so that people can learn through their mistake and can be a better people.The exam marks shouldn’t be the only way to determine the student ability. There should be more practical activities to make sure the students understand and get the lesson. There should be a big knowledge garden where we can borrow books to increase our knowledge. Itâ€℠¢s important that natural light is presented in the library too. The ideal school should be the place where all the students are happy to learn for their life. It must make sure it created the atmosphere of cooperation to get the best future.

High Blood Pressure Among African American Essay - 2491 Words

High Blood Pressure among African American Hypertension is a major health condition which affects many Americans. This health condition may increase the risk of cardiovascular disease and stroke. A normal blood pressure consists of systolic blood pressure divided by diastolic blood pressure, 120/80mmHg (millimeters of mercury). High blood pressure is defined as systolic pressure which is greater than 140mm Hg, and diastolic pressure which is over 90mm Hg. Hypertension influences the health outcomes of black Americans more than other races in the United States. Racial discrimination and socioeconomic status are two major factors which influence the rate of high blood pressure in the black American population. Hypertension is a developing problem worldwide associated with an increased risk of cardiovascular morbidity and mortality. In 2020, the world population will be approximately 7.8 billion people, and there will be 1 billon people who may be affected by hypertension (Tomson Lip, 2005). One in three adults in the United States has high blood pressure. According to the report â€Å"Health, United States, 2010 with Special Feature on Death and Dying,† the prevalence of hypertension among adults 20 years old or older increased from 24% to 32% during 1988-1994 and 2005-2008. The African-American population has a higher prevalence of this health condition than white Americans do. In 2005 to 2008, the prevalence of hypertension among black males (41.4%) was more than 10%,Show MoreRelatedHigh Blood Pressure Among African Americans1040 Words   |  5 PagesHigh Blood Pressure Among African Americans Many illness or diseases are known as silent killers because there are no signs or only vague signs of symptoms. These silent killers are deadly; in fact, they gradually consume a person in the early stages. 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