Evaluation Report of the Practicum Experience Essay

Evaluation Report of the Practicum Experience - Essay Example assistant event manager included designing of sales and promotion strategies, organizing special events such as meetings, and customer logistics management. In this report, I have discussed DRG company profile, event management experiences gained, an evaluation of DRG and plans for my career success (District Restaurant Group, 2014). DRG Company that is located in Washington DC establishment was in January 2011. At inception, DRG main aim was to act as a social hub for entertainment and sporting activities, and offer catering services. DRG offer quality food and beverages of all varieties in its catering department. DRG boosts of different modern state of the art catering facilities and sporting technology within its premises. District Restaurant Group Company manages three key Establishments in DC metro region such as the Ugly Mug, Katherine’s Catering, Jake’s American Grill and District 2 Bar Grille. In addition, Exhibit 1 DRG organizational structure has one catering full time service branch under its management. DRG has maintained its market share through online marketing strategies such as Twitter and face book as well as constant identification of market opportunities such as accommodation of family or corporate events and parties. Ugly Mug sports and entertainment bar established in December 31, 2004 does its operations daily from Monday to Sunday stating from 11:00 am to Mostly 2:30 am. Ugly Mug provides opportunity for Washington inhabitants who are football fans to watch live matches as they drink Ugly Mug collection such as Blue moon, Heineken or Miller Lite. It also has a collection of food and beverages that satisfies the taste and preferences of its customers as they enjoy watching football games. Ugly Mug is located in Capitol Hill neighborhood of Washington DC neighborhood. It is one of the leading sports bar in Barracks Row area attracting Nationals, Capitals, Redskins and Other DC United Games. The bar has increased its public image

PERFORMANCE APPRASIAL AT KFSH&RC Essay Example | Topics and Well Written Essays - 5000 words

PERFORMANCE APPRASIAL AT KFSH&RC - Essay Example Feedback process 23 1. Importance of feedback 23 2. The re-engineering process of the Human Resource Department 24 3. Results of survey 26 4. Discussion 33 5. Conclusion 35 6. References 38 Executive Summary This dissertation comes in two parts. Chapter 1 reviews whether there is a need to change or update the existing performance appraisal being used by the King Faisal Specialist Hospital and Research Centre. Under the present environment of technological and communication advances, there are many changes noted in the use of the traditional system. The study also shows that the PAS of the KFSH&RC is not consistent with the social and cultural idioms of the hospital as it is patterned after the American environment which is totally different from that of Saudi Arabia. Data gathering from published literatures, studies and opinions of noted authors is done to amplify the recommendation and conclusion that an update is needed under the circumstances In chapter II of the study, the reco mmendation in part I has been followed so that the design of the Human Resources at King Faisal Hospital Science & Research Center is being re-engineered by the management. A memorandum to this effect has been sent by the Human Resources Department to all managers and supervisors to take part on the exercise, training and proper information. As one of the basis for the re-engineered design, a feedback information is desired by management to complete the structure of its design plan. Knowing what the personnel feels will equip them with the knowledge of what is really going on inside the organization and what is really needed and thus be able to correct deficiencies in the system. To gain insight of the personnel’s perception on the performance appraisal and also to find out the needs of personnel on training and development, a survey was conducted to 139 personnel of the hospital representing 2% of the total number of personnel of KFHSRC. The number of sample has been limited due to limitations of time and resources to conduct a larger number of sampling. Result showed majority of respondents believed on the validity of performance appraisal for rating performance. Survey shows training and development are needed by some respondents while some respondents do not understand their job responsibilities. Findings of the study can be used as references by the Human Resource Management in correcting deficiencies of performances and developing programs for development of personnel. A REVIEW OF THE PERFORMANCE APPRAISAL SYSTEM AT KFSH&RC Introduction The King Faisal Specialist Hospital and Research Center appraisal system has been developed by the hospital in 1988. It is a system based on the American Appraisal system that has been adopted by the hospital in 1975. The pros and cons of the present appraisal system of the hospital are reviewed to determine if there is a need to update or replace or the PAS totally. Chapter 1 of the study presents the overview of the KFSH&RC, the present performance system and its benefits. This section also presents a review of literature that includes the criticisms, studies and researches that argue about instituting new measures of performance evaluation of employees and gauging employee job satisfaction. Chapter II discusses the implementation of the re-engineering project for the human

Data warehouse and data mining

Data warehouse and data mining Abstract Data mining and data warehouse is one of an important issue in a corporate world today. The biggest challenge in a world that is full of information is searching through it to find connections and data that were not previously known. Dramatic advance in data development make the role of data mining and data warehouse become important in order to improve business operation in organization. The scenarios of important data mining and data warehouse in organization are seen in the process of accumulating and integrating of vast and growing amounts of data in various format and various databases. This paper is discuss about data warehouse and data mining, the concept of data mining and data warehouse, the tools and techniques of data mining and also the benefits of data mining and data warehouse to the organizations. Keywords: Data, Data Warehouse, Data Mining, Data Mart Introduction Organizations tend to grow and prosper as they gain a better understanding of their environment. Typically, business managers must be able to track daily transactions to evaluate how the business is performing. By tapping into the operational database, management can develop strategies to meet organizational goals. The process that identified the trends and patterns in data are the factors to accomplish that. By the way, the way to handle the operational data in organization is important because the reason for generating, storing and managing data is to create information that becomes the basis for rational decision making. To facilitate the decision-making process, decision support systems (DSSs) were developed whereas it is an arrangement of computerized tools used to assist managerial decision making within a business. Decision support is a methodology that designed to extract information from data and to use such information as a basis for decision making. However, information re quirements have become so complex that is difficult for a DSS to extract all necessary information from the data structures typically found in an operational database. Therefore, a data mining and data warehouse was developed and become a proactive methodology in order to support managerial decision making in organization. Concept of Data Warehouse A data warehouse is a firms repositories that running the process of updating and storing historical business data of organization whereas the process then transform the data into multidimensional data model for efficient querying and analysis. All the data stored are extracts or obtains its data from multiple operational systems in organization with containing the information of relevant activity that occurred in the past in order to support organizational decision making. A data mart, on the other hand, is a subset of a data warehouse. It holds some special information that has been grouped to help business in making better decisions. Data used here are usually derived from data warehouse. The first organized used of such large database started with OLAP (Online Analytical Processing) whereas the focused is analytical processing of organization. The diffrences between a data mart and a data warehouse is only the size and scope of the problem being solved. According to William H.Inmon (2005), a data warehouse is a subject-oriented, integrated, time-varying, and non-volatile collection of data in support of the managements decision-making process. To understand that definition, the components will be explained more detailed; Integrated Provide a unified view of all data elements with a common definition and representation for all business units. Subject-oriented Data are stored with a subject orientation that facilitates multiple views of the data and facilitates decision making. For example, sales may be recorded by product, by division, by manager, or by region. Time-variant Dates are recorded with a historical perspective in mind. Therefore, a time dimension is added to facilitate data analysis and various time comparisons. Nonvolatile Data cannot be changed. Data are added only periodically from historical systems. Once the data are properly stored, no changes are allowed. Therefore, the data environment is relatively static. In summary, the data warehouse is usually a read-only database optimized for data analysis and query processing. Typically, data are extracted from various sources and are then transformed and integrated, in other words, passed through a data filter, before being loaded into the data warehouse. Users access the data warehouse via front-end tools and end-user application software to extract the data in usable form. The Issues That Arise in Data Warehouse Although the centralized and integrated data warehouse can be a very attractive proposition that yields many benefits, managers may be reluctant to embrace this strategy. Creating a data warehouse requires time, money, and considerable managerial effort. Therefore, it is not surprising that many companies begin their foray into warehousing by focusing on more manageable data sets that are targeted to meet the special needs of small groups within the organization. These smaller data warehouse are called data marts. A data mart is a small, single-subject data warehouse subset that provides decision support to a small group of people. Some organizations choose to implement data marts not only because of the lower cost and shorter implementation time, but also because of the current technological advances and inevitable people issues that make data marts attractive. Powerful computers can provide a customized DSS to small groups in ways that might not be possible with a centralized syste m. Also, a companys culture may predispose its employees to resist major changes, but they might quickly embrace relatively minor changes that lead to demonstrably improved decision support. In addition, people at different organizational levels are likely to require data with different summarization, aggregation, and presentation formats. Data marts can serve as a test vehicle for companies exploring the potential benefits of data warehouses. By migrating gradually from data marts to data warehouses, a specific departments decision support needs can be addressed within a reasonable time frame (six month to one year), as compared to the longer time frame usually required to implement a data warehouse (one to three years). Information Technology (IT) departments also benefit from this approach because their personnel have the opportunity to learn the issues and develop the skills required to create a data warehouse. Concept of Data Mining Data mining is the forecasting techniques and analytical tools that extensively used in industries and corporates to ensure the effectiveness in decision making. Data mining is a tools to analyze the data, uncover problems or opportunities hidden in the data relationships, form computer models based on their findings, and then use the models to predict business behavior by requiring minimal end-user intervention. The way it works is through search of valuable information from a huge amount of data that is collected over time and defined the patterns or relationships of information that present by data. In business field, the organization use data mining to predict the customer behaviour in the business environment. The process of data mining started from analyzed the data from different perspectives and summarized it into useful information, which from the information then created knowledge to address any number of business problems. For the example, banks and credit card companies u se knowledge-based analysis to detect fraud, thereby decreasing fraudulent transactions. In fact, data mining has proved to be very helpful in finding practical relationships among data that help define customer buying patterns, improve product development and acceptance, reduce healthcare fraud, analyze stock markets and so on. Data Mining in Historical Perspective Over the last 25 years or so, there has been a gradual evolution from data processing to data mining. In the 1960s business routinely collected data and processed it using database management techniques that allowed an orderly listing and tabulation of the data as well as some query activity. The OLTP (Online Transaction Processing) became routine, data retrieval from stored data bacame faster and more efficient because of the availability of new and better storage devices, and data processing became quicker and more efficient because of advancement in computer technology. Database management advanced rapidly to include highly sophisticated query systems, and became popular not only in business applications but also in scientific inquiries. Approaches of Data Mining in Various Industries With data mining, a retail store may find that certain products are sold more in one channel of distribution than in the others, certain products are sold more in one geographical location than in others, and certain products are sold when a certain event occurs. With data mining, a financial analyst would like to know the characteristics of a successful prospective employee; credit card departments would like to know which potential customers are more likely to pay back the debt and when a credit card is swiped, which transaction is fraudulent and which one is legitimate; direct marketers would like to know which customers purchase which types of products; booksellers like Amazon would like to know which customers purchase which types of books (fiction, detective stories or any other kind) and so on. With this type of information available, decision makers will make better choices. Human resource people will hire the right individuals. Credit departments will target those prospectiv e customers that are less prone to become delinquent or less likely to involve in fraudulent activities. Direct marketers will target those customers that are likely to purchase their products. With the insight gained from data mining, businesses may wish to re-configure their product offering and emphasize specific features of a product. These are not the only uses of data mining. Police use this tool to determine when and where a crime is likely to occur, and what would be the nature of that crime. Organized stock changes detect fraudulent activities with data mining. Pharmaceutical companies mine data to predict the efficacy of compounds as well as to uncover new chemical entities that may be useful for a particular disease. The airline industry uses it to predict which flights are likely to be delayed (well before the flight is scheduled to depart). Weather analyst determine weather patterns with data mining to predict when there will be rain, sunshine, a hurricane, or snow. Bes ide that, nonprofit companies use data mining to predict the likelihood of individuals making a donation for a certain cause. The uses of data mining are far reaching and its benefits may be quite significant. Data Mining Tools and Techniques Data mining is the set of tools that learn the data obtained and then using the useful information for business forecasting. Data mining tools use and analyze the data that exist in databases, data marts, and data warehouse. A data mining tools can be categorized into four categories of tools which are prediction tools, classification tools, clustering analysis tools and association rules discovery. Below are the elobaration of data mining tools: Prediction Tools A prediction tool is a method that derived from traditional statistical forecasting for predicting a value of the variable. Classification Tools The classification tools are attempt to distinguish the differences between classes of objects or actions. Given the example is an advertiser may want to know which aspect of its promotion is most appealing to consumers. Is it a price, quality or reliability of a product? Or maybe it is a special feature that is missing on competitive products. This tools help give such information on all the products, making possible to use the advertising budget in a most effective manner. Clustering Analysis Tools This is very powerful tools for clustering products into groups that naturally fall together which are the groups are identified by the program. Most of the clusters discovered may not be useful in business decision. However, they may find one or two that are extremely important which the ones the company can take advantage of. The most common use is market segmentation which in this process, a company divides the customer base into segments dependent upon characteristics like income, wealth and so on. Each segment is then treated with different marketing approach. Association Rules Discovery This tool discover associations which are like what kinds of books certain groups of people read, what products certain groups of people purchase and so on. Businesses use such information in targeting their markets. For instance, recommends movies based on movies people have watched and rated in the past. There are four general phases in data mining which are data preparation, data analysis and classification, knowledge acquisition and prognosis. Data Preparation In the data preparation phase, the main data sets to be used by the data mining operation are identified and cleaned of any data impurities. Because the data in the data warehouse are already integrated and filtered, the data warehouse usually is the target set for data mining operations. Data Analysis The data anlysis and classification phase studies the data to identify common data characteristics or patterns. During this phase, the data mining tool applies specific algorithm to find: Data groupings, classifications, clusters, or sequences. Data dependencies, links, or relationships. Data patterns, trends, and deviations. Knowledge Acquisition The knowledge-acquisition phase uses the results of the data analysis and classification phase. During the knowledge-acquisition phase, the data mining tool (with possible intervention by the end user) selects the appropriate modeling or knowledge-acquisition algorithms. The most common algorithms used in data mining are based on neural networks, decision trees, rules induction, genetic algorithms, classification and regression trees, memory-based reasoning, and nearest neighbor and data visualization. A data mining tool may use many of these algorithms in any combination to generate a computer model that reflects the behavior of the target data set. Prognosis Although many data mining tools stop at the knowledge-acquisition phase, others continue to the prognosis phase. In that phase, the data mining findings are used to predict future behavior and forecast business outcomes. Examples of data mining findings can be: 65% of customers who did not use a particular credit card in the last six months are 88% likely to cancel that account. 82% of customers who bought a 27-inch or larger TV are 90% likely to buy an entertainment center within the next four weeks. If age < 30 and income < = 25,000 and credit rating 25,000, then the minimum loan term is ten years. The complete set of findings can be represented in a decision tree, a neural net, a forecasting model, or a visual presentation interface that is used to project future events or results. For example, the prognosis phase might project the likely outcome of a new product rollout or a new marketing promotion. The Benefit and Weaknesess of Data Warehouse to Organization Data warehouse is the one of powerful techniques that applies in organization in order to assist managerial decision making within a business. This methodology becomes a crucial asset in modern business enterprise. It is designed to extract information from data and to use such information as a basis for decision making. The organization will get more benefit with application of data warehouse because the features of data warehouse itself is its a central repositories that stores historical information, meaning say that eventhough the data come from differ location and various points in time but all the relevant data are assembled in one location and was organized in efficient manner. Indirectly, it makes a profit to company because it greatly reduces the computing cost. One of the advantage of using data warehouse is it allows the accessible of large volume information whereas the information will be used in problem solving that arise in business organization. All the data that are from multiple sources that located in central repository will be analyze in order to allow them come out with a choice of solutions. However there are also having weaknesses that need to concern as well. The processes of data warehouse actually take a long period of time bacause before all the data can be stored into warehouse, they need to cleaned, extracted and loaded. The process of maintaining the data is one of the problems in data warehouse because it is not easy to handle. The compatibility may be the isssued in order to implement the data warehouse in organization because the new transaction system that tried to implement may not work with the system that already used. Beside that, the user that works with the system must be trained to use the system because without having a proper training may cause a problem. Furthermore, if the data warehouse can be accessed via the internet, the security problem might be the issue. The biggest problem that related with the data warehouse is the costs that must taken into consideration especially for their maintenance. Any organization that is considering using a data w arehouse must decide if the benefits outweigh the costs. Conclusion Successfully supporting managerial decision-making is significantly dependent upon the availability of integrated, high quality information organized and presented in a timely and in simply way to understand. Data mining and data warehouse have emerged to meet this need. The application of data mining and data warehouse will be apart of crucial element in organization in order to assist the managerial running the operation smoothly and at the same time will help them to accomplish the business goal. It is because both of these techniques are the foundation of decision support system. Today data mining and data warehouse are an important tools and more companies will begin using them in the future. REFERENCES Bonifati, A., Cattaneo, F., Ceri, F., Fuggetta, A., and Paraboschi, S., (2001). Designing data marts for data warehouse. ACM Transactions On Software Engineering And Methodology, 10, 452-483. Retrieved February 15, 2010 from: http://www.emeraldinsight.com.ezaccess.library.uitm.edu.my/Insight/viewPDF.jsp?contentType=ArticleFilename=html/Output/Published/EmeraldAbstractOnlyArticle/Pdf/2810110103.pdf Chaplot, P., (2007). An introduction to data warehousing. Retrieved February 14, 2010 from: http://www.emeraldinsight.com.ezaccess.library.uitm.edu.my/Insight/viewPDF.jsp?contentType=ArticleFilename=html/Output/Published/EmeraldFullTextArticle/Pdf/0291000304.pdf Roiger, R.,J., (2005). Teaching an introductory course in data mining. Retrieved February 13, 2010 from: http://delivery.acm.org/10.1145/1070000/1067620/p415-roiger.pdf?key1=1067620key2=7107846621coll=ACMdl=ACMCFID=76668031CFTOKEN=26856088 Santos, R., J., and Bernandino, J. Real-time data warehouse loading methodology. Retrieved February 13, 2010 from: http://www.emeraldinsight.com.ezaccess.library.uitm.edu.my/Insight/viewPDF.jsp?contentType=ArticleFilename=html/Output/Published/EmeraldFullTextArticle/Pdf/0291010105.pdf Chowdhury, S., Chan, J.,O., (2007). Data warehousing and data mining: a course in mba and msis program from uses perspective. Data Warehousing And Data Mining. 7. Retrieved February 15, 2010 from: http://www.emeraldinsight.com.ezaccess.library.uitm.edu.my/Insight/viewPDF.jsp?contentType=ArticleFilename=html/Output/Published/EmeraldFullTextArticle/Pdf/1640150202.pdf Ranjan, J., Malik, K., (2007). Effective educational process: a data mining approach. The Journal Of Information And Knowledge Management Systems. 37, 502-515. Retrieved February 16, 2010 from: http://www.emeraldinsight.com.ezaccess.library.uitm.edu.my/Insight/viewPDF.jsp?contentType=ArticleFilename=html/Output/Published/EmeraldFullText Mora, S., L., Trujillo, J., Song, I, Y., (2006). A uml profile for multidimensional modeling in data warehouses. Data Knowledge Engineering. 59, 725-769. Retrieved February 20, 2010 from: http://www.sciencedirect.com.ezaccess.library.uitm.edu.my/science?_ob=MImg_imagekey March, S., T., Hevner, A., R., (2005). Integrated decision support systems: a data warehousing perspective. Retrieved February 21, 2010 from: http://delivery.acm.org/10.1145/1460000/1451949/p49santos.pdf?key1=1451949key2=1956846621coll=ACMdl=ACMCFID

Evolution :: essays research papers

Evolution is a force than nothing can escape. Communities evolve constantly and although there is no standard of where a society should be at any given moment, communities evolve individually. Then in reaction to a developing community, people grow and change. Then in reaction to people evolving the tools that people use develop. This constant evolving usually happens so gradually and slowly that it is hard to detect. As we look back we can see the evolution is a major component of our lives. By focusing mainly on what a person needs to be an active member of society in the New England area we can see exactly how evolution takes its toll on us. Comfort, necessity and luxury are a constantly changing aspect of our society.  Ã‚  Ã‚  Ã‚  Ã‚  As we look deeper into the constant changing of what a person needs to be an active member of a community we notice the continuos alteration of what exactly defines a comfort a necessity and a luxury. Comfort by definition is a condition of pleasu rable ease or well being. By that definition there are endless numbers of object that could serve as a comfort. Take public transportation for example. The thought of having the train that takes us into the city is a commonly know option. Not always have people been able to choose public transportation as a method of getting to and from. Dating as far back as 1889 when the first method of public transportation was developed in Massachusetts. Before this the thought of having a bus or train run to the main areas of a community was absolutely unheard of. But in today’s society there are many people who depend of the train or bus to get to work or to school or wherever it is they are going. When exactly did public transportation change from a luxury to a comfortable part of society? We can not exactly put a date on it but as you look back in time with me we can see how slowly and unnoticeably a societies way of life can change. In conclusion a comfort to us now was at one point and time a luxury to the communities who discovered the amazing attributions that have so nicely shaped our society today.Secondly we can take this observation a little closer to today. If we look at the definition of necessity we find that it means pressing or urgent need.

Physical Environment in Early Civilizaitons Essay

Although Mesopotamia , Egypt, and The Indus Valley share a lot of physical environments in the development of early civilization, there are minor differences in cultural, agricultural, and social structures. Different civilization are depended on their traits; For example, certain agricultural, political, environmental, and social; Filled with sophisticated monuments, certain trade routes, and how early humans survive. First, Every civilization is different. Relating to document 1 (Excerpt from the story of Gilgamesh) the civilizations are depended on the traits like cities as administrator , a political system based on defined territory rather than kinship. Many people engaged in specialized, non-food-production activities, states distinctions baed largely on accumulation of wealth, monumental buildings, a system for keeping permanent records, long-distance trade, and finally sophisticated interest in science and art. The physical environment that connects to the development of early civilization is the monument building, and mostly trades, every civilization has an origin. For Gilgamesh – in Mesopotamia , there was very slow development of farming, but the trades did not end just because the development of product is slow , Gilgamesh trade are mostly to Egypt through the Nile River, trades makes the civilization powerful and forms an organized culture . According to document 3 (Reed Huts in the Marshes of Southern Iraq .photo. p.15) – it is showing the river banks and swampy lands at the head of the Persian Gulf, it was used for antiquity , mostly when trades happen floods arise people constantly creating new technology to prevent it. Based on the article in document 4 (Violence and Order in the Babylonian New Year’s Festival on page 20), every human development celebrates their largest and most important festival is that of the New Year, which falls in the Babylonian month of Nisan and coincides with the Spring Equinox. This was essentially a celebration of revival, the promise of fertility in the renewed cycles of the seasons. Even though it is a celebration. In this festival violence gets involved, in the early days during the festival , after relating the origins of the gods from mating . It is a myth that tells us how Tiamat gathered an army of old gods and monsters to destroy the younger generation of gods. Every civilization has its own language and the way it communicates . As seen in document 5 (Mesopotamian Cylinder Seal p.22) It is a picture of the Mesopotamian Cylinder seal, it is often used for legal documents or the identity of an individual , it is made out of wet clay. This particular seal symbolizes to those who attributes fertility and war, they are indicated by the date cluster in the hand, also an knife, it is cutting away out of the mountain and sunrising. As all of these information said above we can tell that civilizations can be economic ,agricultural and so on an so fourth. Second, The Indus Valley and the physical environment in the development of early civilizations of Indus Valley. In document 2( River -Valley civilization, 3500-1500 B.C.E p.13). It is a picture of Indus Valley map , including the river which can be used as trade routes. It shows that it was very convoluted . There is numerous parts where it is indicated green -as in the Extent of trading contacts. In bonding relevance to the document 7( Mud-brick Fortification wall of the citadel at Harappa photo.32). It is built upon a very elevated high-rise and massive amount of man-hours of labor; the fortification wall, it is for massive radical climate changes, also tolerant of dry conditions, the stabilization of sand dunes; Sometimes heavy rainfall comes once in a while. It is made for the changes of the landscape caused by shifts and courses of rivers. The Indus Valley cities were abandoned sometime after 1900 B.C.E. Civilizations like Indus valley isn’t so proficiently. They suffered something called â€Å"System Failure† -A breakdown of interrelationship of political, social and environment. Today, in recent study brings to the end that today, the Indus Valley is played important role in the life and decay of the Indus civilization. Egypt, it became a country when small villages and groups began forming along the Nile, then between 3900 and 3100BCE. Two particular villages that grew into power, were Upper and Lower Egypt. For example showing a map of Egypt. It is the great Egypt map(document 6: Map 1.4 Ancient Egypt) – indicating the well known Nile River, flowing south to north . This is a great physical development for the Egyptian, since in the view of the fact that the Nile River is such an extraordinary advantage ; Everything depended on the river in ancient times as it still does today to a large extent. It is simply Egypt’s lifeblood. Even with all the modern progress attributed to today. All inclusive, the physical environment of the three civilizations was similar but differ at some point . One country’s civilization can cause good or evil economically , socially, environmentally, or physically. It can change big about the country and that in this world every country has a civilization, but some might be in form of developing unhurried, downtempo, but some might be rapid, however it will all in due course lead to a human development.

Winter’s Bone

Essay Assignment 2 October 7th, 2012 Draft 2 (Final) Winter's Bone I would like to start off saying I really enjoyed this book so far. I really like the text, and description it shows. There is a lot of realistic experience in the book that helps me create my visual of the book. â€Å"They didn’t do nothin’! They didn’t do a goddamned thing! What the hell’re you tryin’ to pull? † Most books are cheesy written, and worded. This book was different, and really fit into my interest. I usually find it hard to get into a book, an reading a lot of the time makes me sleepy.I was able to adapt to this book quickly to gain a lot of questions an wondering what was going to happen next. The Ozarks is a interesting place that helps shape the lives of anyone who lives there. Ree finds herself, her family, all on the bad side of the law since illegal activities are done to support themselves in such a harsh environment. These illegal activities of her fathe r start Ree on a journey. She has to find her father with only the help of family to save her family’s house and land. Jessup, Ree’s father, is the most important cause of her journey.He comes home and leaves â€Å"promising he’d be back soon as he could with a paper sack of cash and a trunkload of delights. † Ree is left with the tasks of chopping wood and making sure there is food on the table for everyone, which is usually the man of the house’s job. He had told her to not even look for him until â€Å"you see my face. † (Chpt 1) Then, when the kids get home from school riding in Sheriff Baskins’ patrol car, the sheriff asks her if she has seen Jessup and informs her that he put the land and house up for the bail.If Jessup didn’t show up for court, they would be poor and homeless. Ree also has to be a mother to the kids, because her mom is pretty much useless. Something happened, whether it was drug or her lifestyle while Je ssup had been imprisoned before, and the medicine that she is on is not helping. Ree had to get Sonny and Harold ready for school even if the clothes were dirty and there was no butter to go with the grits. The kids show up home having hitched a ride from the deputy up to the Dolly’s house for which they were reprimanded by Ree to not ven associate with â€Å"the law. † Ree later makes sure to put them under her wing so that they could learn to hunt and cook if there was ever a need for them to take care of themselves. She starts showing them how to make deer stew and how to shoot and clean squirrels. The next day, when they got home. Teardrop came over. When he realizes he needed to help his brother’s family. He lets Ree know that the police found Jessup’s car burnt, but he wasn’t in it. He also gave them more money to help out.He then also gave her the advice of selling of the timber on their land before the bail bondsman came to throw them out o f the house, but Ree still thinks that it won’t happen. Teardrop starts talking about times before when things were good and family all got along. Ree goes to town to get some groceries and is getting to the point of believing her father is dead but trying to figure out why. â€Å"Either he stole or he told. Those are the things they kill you for. † Gail told her. Chpt 15) Bringing back to my thoughts, where I had a dead beat father who ran off, and never came back home. Which made my mom have to do everything for us alone. It's always weird how the books you read can sometimes relate back to you in ways you never thought they could. I then know I'm not the only one who had that experience. Which then as well helps me cope with my issues an understand better. I really like that about a book when I can relate to some of the things going on in the story.

The Anticipatory It in English Grammar

The Anticipatory 'It' in English Grammar In English grammar, anticipatory it involves the placement of the pronoun  it in the usual subject position of a sentence as a stand-in for the postponed subject, which appears after the verb. It is also called an  extraposed subject. Anticipatory it  tends to place the emphasis on the verb or (more commonly) on the noun phrase that follows the verb.   When the subject works better at the end of the sentence,  anticipatory it is often the best way to go, and its commonly heard in everyday speech and found regularly in all types of writing. Shifting Nominal Clauses to the End Gerald C. Nelson and Sidney Greenbaum discuss nominal clauses in An Introduction to English Grammar (2013): It is unusual to have a nominal clause  as the subject of the sentence:  That they canceled the concert is a pity. Instead, the subject is usually moved to the end (the postponed subject), and its position is taken by it (the anticipatory subject):  It  is a pity that the concert was canceled. Here are some more examples: It  is likely  that well be moving to Glasgow. It  doesnt matter to me  who pays for my ticket.Its impossible  to say when they are arriving. It  has not been announced  whether negotiations between the employers and the employees have broken down. The exception is that nominal  -ing  clauses  are natural in the normal subject position: Having a good self-image  keeps me sane.Living in France  was a wonderful experience. Anticipatory It, Dummy It, and Preparatory It Bas Aarts, Sylvia Chalker, and Edmund Weiner sort through more grammatical it details in The Oxford Dictionary of English Grammar from  2014. In the first sentence below,  it is an anticipatory subject (the grammatical subject), and in the second  sentence it is an anticipatory object: It  is better  to have loved and lost  than never to have loved at all.I take  it that you agree with me. There  is considerable confusion in the usage of the terms available to describe the various functions of the word it. For some grammarians,  anticipatory it (used with  extraposition) and  preparatory it  are  identical, but they distinguish this usage from  dummy it,  as in  It is raining. Others use all or some of these terms differently or use one of them as an umbrella term. Examples of Anticipatory It It is a shame that the break-in wasnt immediately reported to the police.It is clear that inadequate resources will have an impact on the care of children with disabilities.  Its no concern of mine what happens in this village, so long as my customers dont quarrel when theyre in here. John Rhode (Cecil Street), Murder at Lilac Cottage (1940)It is time you stopped  working. You are the head of the family and it is right that you should be at home to see that everything is in order. Masti Venkatesha  Iyengar, The Curds-Seller in Best Loved Indian Stories, Volume 2 ed. by  Indira Srinivasan and Chetna Bhatt (1999)