Cross Language Translation in a Web-based Environment Essay

One of the major problems with cross-language translations involving those that are rarely used together (i. e. Finish Lithuanian) is that there are no dictionaries available or it is extremely difficult to find one. The main problem is that there are not enough people to create a market and no one would invest in creation of such kind of dictionaries. English-based dictionaries, however, is of abundance. This project tackled the above cited problem in Cross Language Translation using English as its base dictionary. Artificial intelligence through Neural Networks was used as it appeared well-suited to problems of this nature. For this reason, artificial intelligence through neural networks was investigated as a potential tool to improve translation accuracy but future implementation was left as a possibility. WordNet ® was also investigated as source of defining English words and possible tool to achieve greater accuracy in cross-language translations. ACKNOWLEDGMENTS I would like to take this opportunity to thank all those who have contributed in any way, shape or form to the completion of this project report, those at Zodynai. org and the Anglia Ruskin University for their advice and support. Thanks to my friends and family who (once again) tolerated my lack of time and sometimes grumpy demeanour. More thanks to friends at Anglia Ruskin University for their ideas and criticism. Your support (directly and indirectly) is greatly appreciated. T A B L E O F C O N T E N T S ABSTRACT Acknowledgements TABLE OF CONTENTS INTRODUCTION OBJECTIVES METHODOLOGIES DESIGN AND IMPLEMENTATION RESULTS AND DISCUSSION CONCLUSION AND EVALUATION BIBILIOGRAPHY APPENDICES A Project Specification B User/Software Installation Guide A C Software Installation Guide B D Poster and Visual Presentations E Source Code F Abbreviations and Acronyms INTRODUCTION The multilingual world and the barriers it entails. A large number of people across the world converse in English thus it serves as the primary lingua franca for developments in the research world. Most publications and journals are published in such language. This leaves publications in other languages inaccessible and apparently, information in English is withheld from those millions who do not speak English (Diekema 2003) Recent trends promote the construction of a far-reaching complex infrastructure for transporting information across boundaries. Apparently, language shares a vital portion in the hindrances presented by National borders. Whilst the fact is inevitable that English remains the most spoken language in the whole world and though, it is true that the spread of ‘World English’ can promote cooperation and equity, longstanding linguistic competition threatens to be even more divisive in a globalizing world. (Maurais et al n. d. ) A lot is currently going on to overcome these linguistic barriers. The most efficient approach to overcoming such is with cross-language translation and in this literature it will well be mostly in the web-based-online-dictionary aspect of such approach. English has always been the main focus of information retrieval, well, that is by tradition. Many of them retrieval algorithms and heuristics stem from English speaking countries and thus are based on the said language. Over the years, these retrieval methods have been adopted by other language communities, creating a wide selection of language-specific monolingual retrieval systems. However, to ensure complete information exchange, information retrieval systems need to be multilingual or cross-lingual. (Diekema 2003) There are a lot of ways to pin down the hindrance of being in this multi-lingual world, the barrier of being in a world divided by being in English- or Non-English-speaking territories. And, as presented, the most researched approach is through Cross-Language translation. OBJECTIVES Main problem that we are facing when translating with English based dictionary is connecting various language data bases. One of solutions for this program is to create a base dictionary (as seen in Figure 1). Figure 1 Other major problem is that performing translation a lot of noise is created. As seen in Figure 2. Figure 2 We can examine this in greater detail in Figure 3. Word Autobusas is translated from Lithuanian language to Russian based on English language. Two different possible translations occur (bus, omnibus) when translating Lithuanian -> English. First word â€Å"bus† translated from English to Russian has three meanings â€Å"Ð °Ã ²Ã'‚Ð ¾Ã ±Ã'Æ'Ã' Ã¢â‚¬  †Ã ¾Ã ¼Ã ½Ã ¸Ã ±Ã'Æ'Ã' Ã¢â‚¬  †Ã'ˆÐ ¸Ã ½Ã °Ã¢â‚¬  word translated. As first few are synonyms third one has totally different value and meant â€Å"Topology bus†. As you can see on reverse translations †Ã'ˆÐ ¸Ã ½Ã °Ã¢â‚¬  will going to give you four different meanings translated in Lithuanian language. Figure 3 We are going to investigate WordNet and Neural networks approach for possible solution of this problem. METHODOLOGIES Cross-Language Information Retrieval, its promise. Information retrieval entails an individual querying about something of interest to him. Inevitably, since we are life forms known to be ever inquisitive, we do Information Retrieval in every aspect of our living. This event so commonly happens in a lot of situation and may be best displayed in a Library when a student picks his book of choice. Formally, let us define Information Retrieval (IR) as the process in which users with information need query a collection of documents to find those documents that satisfy his need. (Diekema 2003) In the electronic realm, the user queries by typing in related words, the system then processes these keywords to create a representation understandable by the system. In the course of the procedure, the system usually strips off non-bearing fragments of the query keywords such as articles like determiners, prepositions, and pronouns. The document collection undergoes the same process resulting to a list of document representations or a catalogue. To find documents that are similar to the query, the ‘stripped off’ query representation is then matched against the catalogue. When a certain degree of similarity between the catalogue and the ‘stripped off’ query has been established, the documents with the uppermost similarity scores (depending on the settings, say top 10) are shown to the user as results. This occurs typically during browsing through the internet and Google. comTM best displays this example. A development of IR is CLIR – the Cross-Language Information Retrieval, which, as the name implies, is information retrieval in a multi-linguistic environment. Consequently, CLIR techniques simplify searching by multilingual users and allow monolingual searchers to judge relevance based on machine translated results and/or to allocate expensive translation resources to the most promising foreign language documents. (Diekema 2003) Simple IR systems only consist of a Query, an Input Cleanser, a Matcher, the Document database and the Output, in logical order. The addition of Language Translators would make this system a Cross-Language Information Retrieval system. Of course the Document database would now contain multi-lingual entries as well and the output is to be presented in the way the query has been placed in the input. Figure 4 would show the Cross-Language Information Retrieval system in schematics. The method Cross-language Retrieval Systems promises users to state their queries in their native language and retrieve documents in all the languages supported by the system. (Diekema 2003) Artificial Intelligence and Machine Learning. Artificial intelligence (AI) results to simulation of intellectual practice such as comprehension, rationalization and learning symbolic information in context. In AI, the automation or programming of all aspects of human cognition is considered from its foundations in cognitive science through approaches to symbolic and sub-symbolic AI, natural language processing, computer vision, and evolutionary or adaptive systems. (Neumann n. d. ) AI considered being an extremely intricate domain of problems which during preliminary stages in the problem-solving phase of this nature, the problem itself may be viewed poorly. A precise picture of the problem can only be seen upon interactive and incremental refinement of course, after you have taken the initial attempt to solve the mystery. AI always comes hand in hand with machine logistics. How else could mind act appropriately but with the body. In this case, a machine takes the part of the body. In a bit, this literature will be tackling about AI implemented through Neural Network. The author deems it necessary though to tackle Machine learning and thus the succeeding paragraphs. Machine Learning is primarily concerned with designing and developing algorithms and procedures that allow machines to â€Å"learn† – either inductive or deductive, which, in general, is its two types. At this point, we will be referring to machines as computers since in the world nowadays, the latter are the most widely used for control. Hence, we now hone our definition of Machine Learning as the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. (Dietterich n. d. ) Machine learning techniques are grouped into different categories basing on the expected outcome. Common types include Supervised, Unsupervised, Semi-supervised or Reinforcement learning. There is also the Transduction method and the ‘Learning to learn’ scheme. A section of theoretical computer science, Computational Learning Theory is the investigation on the computation of algorithms of Machine Learning including its efficiency. Researches on Machine Learning focuses mainly on the automatic extraction of information data, through computational and statistical methods. It is very much correlated not only to theoretical computer science as well as data mining and statistics. Supervised learning is the simplest learning task. It is an algorithm to which it is ruled by a function that automatically plots inputs to expected outputs. The task of supervised learning is to construct a classifier given a set of classified training examples (Dietterich n. d. ). The main challenge for supervised learning is that of generalization that a machine is expected in approximating the conduct that a function will exhibit which maps out a connection towards a number of classes through comparison of IO samples of the said function. When many plot-vector pairs are interrelated, a decision tree is derived which aids into viewing how the machine behaves with the function it currently holds. One advantage of decision trees is that, if they are not too large, they can be interpreted by humans. This can be useful both for gaining insight into the data and also for validating the reasonableness of the learned tree (Dietterich n. d. ). In unsupervised learning, manual matching of inputs is not utilized. Though, it is most often distinguished as supervised learning and it is one with an unknown output. This makes it very hard to decide what counts as success and suggests that the central problem is to find a suitable objective function that can replace the goal of agreeing with the teacher (Hinton & Sejnowski 1999). Simple classic examples of unsupervised learning include clustering and dimensionality reduction. (Ghahramani 2004) Semi-supervised learning entails learning situations where is an ample number of labelled data as compared to the unlabelled data. These are very natural situations, especially in domains where collecting data can be cheap (i. e. the internet) but labelling can be very expensive/time consuming. Many of the approaches to this problem attempt to infer a manifold, graph structure, or tree-structure from the unlabelled data and use spread in this structure to determine how labels will generalize to new unlabelled points. (Ghahramani 2004) Transduction is comparable to supervised learning in predicting new results with training inputs and outputs, as well as, test inputs – accessible during teaching, as basis, instead of behaving in accordance to some function. All these various types of Machine-Learning techniques can be used to fully implement Artificial Intelligence for a robust Cross-Language translation. One thing though, this literature is yet to discuss the planned process of machine learning this research shall employ, and that is by Neural Networks. There is yet to be a precise definition as to what Artificial Neural Network is, though many researchers would agree that it concerns a network of austere processing elements – otherwise known as the neurons, which presents complex behaviour established by the relationship amongst processing and parametrical elements. The main inspiration that lead to the development of this technique was from the investigation of, no lesser than, our Central Nervous System and the neurons (including their axons, dendrites and synapses) which make up its most important information processing elements. A neural network model would show us that simple nodes are connected forming a network of nodes — thus, its coining as â€Å"neural network. † A Neural Network functions in 2 different manners – learning and testing. The former would literally mean, the system learns the ways it is supposed to behave while the latter is when rigorous repetition of training would eventually result to a stable system, defined by its giving of constant satisfactory outputs. Most â€Å"abstract reasoning† of an Artificial Neural Networks are being implemented through three learning types – supervised, unsupervised and the reinforced learning, as has been introduced in the preceding paragraphs. Supervised learning entails a functional relationship between the input and the output. The system has to learn every possible IO pair that can be thought of. In case, there is a miss, all that has to be done is to input the said pair into the memory of the system hence when it resurfaces, the system knows how the handle it. Hence, basically, the goal is to ‘teach’ the network to identify the given input with the desired output. (Sordo 2002) This is usually best achieved when function f has already been derived to represent the behaviour of the Neural Network system. For unsupervised learning, we feed an input and a function to the system and record what behaviour the system outputs with such input and function. To begin with the learning process, there are no IO-pairs as opposed to supervised learning. Ultimately, the main goal of achieving the stable state will be attained through rigorous repetition of test with different sets of inputs. This type of systems – imploring unsupervised learning as its method of learning, are best displayed in statistical modelling, and the likes. Reinforcement learning stems its roots from the related psychological theory that has been conceived even before AI has been. Dynamically, in this type of learning, the machine interacts with its environment by producing actions a1, a2, †¦ These actions affect the state of the environment, which in turn results in the machine receiving some scalar rewards (or punishments) r1, r2, †¦ The goal of the machine is to learn to act in a way that maximizes the future rewards it receives (or minimises the punishments) over its lifetime. Reinforcement learning is closely related to the fields of decision theory (in statistics and management science), and control theory (in engineering). The fundamental problems studied in these fields are often formally equivalent, and the solutions are the same, although different aspects of problem and solution are usually emphasised. (Ghahramani 2004) Advantages of investing a system through Neural Networks. Neural networks with always have the outstanding characteristic of deriving intelligence from the usually complicated and, oftentimes, fuzzy data stored in the neurons. These systems, oftentimes, offer to be easy utilities to deduce patterns and perceive trends that are difficult to be noticed by either human observation or by our current computer intelligence. A trained neural network is regarded as an â€Å"expert† in the category of information it has been given to analyze. This expert can then be used to provide projections given new situations of interest and answer â€Å"what if† questions. (Chung et al 2007) It is used for adaptive learning on how to handle tasks based on the input provided for training or preliminary experience. It is a self-organizational tool that hones its own picture of the data it receives in as early as learning time. Neural networks another feature is that it is a real-time operation system where all calculation may be performed in parallel. Fault Tolerance via Redundant Information Coding is another aspect of the neural system where partial destruction of a network leads to the corresponding degradation of performance. However, some network capabilities may be retained even with major network damage. The platform to a successful implementation. Several environments can be used in totally implementing a Cross-Language Translator through with the various and fast developments in computer technology since its introduction. In the succeeding paragraphs we will be tackling some of those that has come the author’s A-list. Microsoft . NET Framework. This framework form part of Microsoft Windows operating systems, containing a vast number of pre-coded resolutions to general program requirements, and governing the performance of programs written particularly for the framework. This framework is a vital Microsoft contribution and is projected on being utilized by most applications created and to be created for Windows platform. Pre-coded solutions outlining the framework’s Base Class Library (third layer from Operating System in the . NET Framework) encompass a wide range of software requirements in areas including: cross language translation, user interface, database connectivity, cryptography, data access, web application growth, network communications, and numeric algorithms. This layer contains classes, value types, and interfaces that you will use often in your development process. Most notably within the . NET Framework Base Classes is ADO. NET, which provides access to and management of data. Supervising the software’s runtime requirements, this software is written for the . NET Framework implemented in an environment. This runtime environment, which is also a part of the . NET Framework, is known as the Common Language Runtime (CLR). The CLR provides the appearance of an application virtual machine, so that programmers need not consider the capabilities of the particular CPU that will implement the program. The CLR also provides other significant services such as security mechanisms, memory management, and exception handling. The class library and the CLR together compose the . NET Framework. The . NET Framework is included with Windows Server 2003, Windows Server 2008 and Windows Vista, and can be installed on some older versions of Windows. .NET Framework 1. 1 This is the first major . NET Framework upgrade that is accessible on its own as a redistributable package or in a software development kit since its publishing on April 3, 2003. It forms part of the second release of Microsoft Visual Studio . NET – the Visual Studio . NET 2003, and is the first version of the . NET Framework to be included as part of the Windows operating system, shipping with Windows Server 2003. 7 .NET Framework 3. 5 This version was authoritatively released to manufacturing (RTM) on November 19, 2007. As with . NET Framework 3. 0, this version applies the CLR of version 2. 0. It also installs . NET Framework 2. 0 SP1 adding some methods and properties to the BCL classes in version 2. 0 which are vital for version 3. 5 features such as Language Integrated Query (LINQ). These changes, however, do not involve applications written for version 2. 0 and a separately, new . NET Compact Framework 3. 5 was released in hand-in-hand with this revision to give support for additional features on Windows Mobile and Windows Embedded CE devices. The source code of the Base Class Library in this version has been partially released under Microsoft Reference License. 7 .NET Framework 3. 5 builds incrementally on the new features added in . NET Framework 3. 0 – for example, feature sets in Windows Workflow Foundation (WWF), Windows Communication Foundation (WCF), Windows Presentation Foundation (WPF) and Windows CardSpace. This version also consists of a number of new features in several technology areas which have been added as new assemblies to avoid breaking changes. They are: (a) deep integration of Language Integrated Query (LINQ) and data awareness which will let to write code written in LINQ-enabled languages to filter, enumerate, and produce projections of several types of SQL data, collections, XML, and datasets by means of the same syntax; (b) ASP. NET AJAX 3. 5 lets you craft more resourceful, more interactive and highly-personalized Web experiences that work transversely with almost all the most popular browsers; (c) The New Web protocol sustain for building WCF services adding AJAX, JSON, REST, POX, RSS, ATOM, and several new WS-* standards; (d) Full tooling support in Visual Studio 2008 for WF, WCF, and WPF, including the new workflow-enabled services technology; and, (e) New classes in . NET Framework 3. 5 base class library (BCL) that address many common customer requests. Visual Studio 2008 and the . NET Framework 3. 5. The Microsoft Visual Studio development system is an appropriate development instrument devised to aid developers to tackle complex problems, thus create inventive resolutions. This system’s role is to improve the development process; hence, achieving breakthroughs would be easier and more satisfying. Using the Microsoft Visual Studio Development system will be very productive for this project since it would continually deliver better ways for cross language translations with less energy and with ease from other software. It has efficient form of code editors, IntelliSense, Wizards, and multiple coding languages in one integrated development environment (IDE) to high-tech applications in life- cycle management. New versions of Visual Studio keep bringing innovative tools to help developers focus on solving problems without wasting time. With this development system, software developers gain from an integrated product experience that spans tools, servers, and services. Visual Studio products work well together with other Microsoft software, such as Microsoft server products and the Microsoft Office system. Visual Studio offers a comprehensive choice of tools for all phases of software development, testing, deployment, integration, and management. Every kind of software developer, from novice to skilled professional, can use the Visual Studio because it is engineered to support the development across all types of devices such as PCs, servers, the Web, and mobile devices. Visual Studio is the most reliable tool that is engineered and tested to be always dependable, secure, interoperable, and compatible. Visual Studio offers an unparalleled combination of security features, scalability, and interoperability. Although Visual Studio always incorporates forward- thinking features, it is designed to ensure backward-compatibility everywhere possible. Being a set of technology capabilities, core products, and best practice guidance, the Microsoft Application Platform (MAP) focuses on aiding IT and development business partners to maximize opportunity. As one of its core products, Visual Studio has always and continues to help spearhead for the right customer links, business efficiencies, and value-added services through provision of a fully integrated and single development environment for all types of advances, including Microsoft Windows, Microsoft Office, Web, and mobile applications.

Parent Involvement and Educational Outcomes

Parent Involvement and Educational Outcomes There is a continuously increasing population that lives in abject poverty. Poverty entails pulling through life with very limited resources. The resources may range from financial, psychological, spiritual, security, and physical materials, for example lack of proper housing. I choose to address an article by Misty Locour and Laura Tissington from South Arkansas University. The article is entitled The Effect of Poverty on Child Education.Advertising We will write a custom essay sample on Parent Involvement and Educational Outcomes specifically for you for only $16.05 $11/page Learn More The two scholars start by observing that poverty or low income has a negative impact on the student’s academic performance (Misty, Tissington, 2011). The family is a moving system meaning that it copes with changes that come along, but in the process relevantly maintain a stable positive effect on the children’s academic performance. Too much expectations infl uence the student’s learning outcome, which in turn devastatingly affect parents. Family involvement in education needs entails a more comprehensive participation with educators having knowledge of family background. Poverty or low income is attributed to many things among them family type for example, blended families, single parent families, mother’s education level, and source of income. Misty and Laura note that there is a big gap in achievement among students from varied income backgrounds. Low socioeconomic status affects the chances of students performing well and their capability to complete schooling. Statistics indicate that students from poor families score less than twenty percentile in tests. Those from middle-income homes get an average of forty-five percentile whereas those from upper income backgrounds score a high percentile of seventy. The two scholars have also identified the source of income as a major poor performance. They note that welfare childr en, meaning those under The Aid to families with Dependent Children program (AFCD), perform poorly compared to those depending on income from other sources. They observe that aid works towards the student’s poor underperformance. The children on welfare programs are twice likely to perform poorly than those on other programs. The students who benefit from the welfare on short durations rank high on performance than those who are long-term beneficiaries.Advertising Looking for essay on education? Let's see if we can help you! Get your first paper with 15% OFF Learn More This, the two scholars claim, is a clear indicator that aid affects the academic performance negatively. They further assert that aid is a medium through which laziness is created. The parents involved are most certainly people working in various industries or organizations. Since the food materials are already in supply, there would be no cause for working extra hard. The society in whi ch aid is provided lacks role models to provide intellectual motivation (Amatea, 2012). Misty and Laura discuss the level of education of the mother as being another cause of poor performance among students. They aver that this is very significant because it touches on adolescents. The level of education of the mother has more effects than the father’s level of education. This is associated with the closeness that mothers have with children. The presence of the mother serves to increase the supply of reading materials in the house, fostering family beliefs, and values Families with increased income has an increased number of children in early child education. This therefore according to Misty and Laura means that poor families and communities do not give education due attention. This creates strenuous working relationships between the educators and students. This is mainly in areas involving student’s actions versus instructions from teachers. References Amatea, E. (20 12). Building Culturally Responsive Family-School Relationships. New York: Pearson Learning Solutions. Misty, L., Tissington, L. (2011). The effects of poverty on academic achievement. Educational Research and Reviews, 6(7), 522-527.

moral standards essays

moral standards essays ARE MORAL STANDARDS RELATIVE? Ethics are moral principles or values that specify acceptable conduct, and determine how an institution will be governed. According to Shanahan and Wang, in their book Reason and Insight, the subject of ethics is morality, which is concerned with the practices, judgments, principles, and beliefs that guide peoples actions. It attempts to address the issue of how we ought to live. Many people have different values that guide their lives, but some of these values are better supported than others. Since people have different morals and values, it is important to distinguish between cultural and moral relativism. First, I will explain the difference between moral and cultural relativism. Next, I will indicate the claims that are supposed to follow from cultural relativism. Then I will explain one of the claims and show Shanahan and Wangs argument against this claim. Lastly, I will show why Shanahan and Wangs argument for this claim are true, and why I accept it. We grow up in a social atmosphere that tells us what is right and wrong. If our own personal morality is different from another cultures, we tend to believe that they are wrong, and our cultural views of morality hold more merit. Societies, in general, must adhere to certain core values for them to exist. However, not all societies value the same morals. With this in mind, moral relativism is the theory that all moral perspectives are equally acceptable. What may be acceptable in one culture may not be acceptable in another, and neither is objectively right. Cultural relativism ascertains that moral standards differ from one culture to the next. It says that good and bad are relative to culture. What is good is what is socially approved in a given culture. Cultural relativism holds that good means what is socially approved by the majority in a...

How To Say By the Way in Spanish

How To Say By the Way in Spanish Spanish has two common ways of introducing an afterthought, unrelated comment or offhand remark, ways that are typically translated as by the way or incidentally in English. The expressions used are a propà ³sito and por cierto, with the former being somewhat more formal. Here are some examples of their usage: Por cierto,  ¿no ests descargando mà ºsica ilegalmente? (By the way, are you downloading music illegally?) Por cierto, la valla fronteriza fue construida por Estados Unidos. (By the way, the border fence was built by the United States.) Por cierto, vamos a preparar algo para septiembre. (By the way, well be getting something ready for September.) Por cierto, la lente del telà ©fono est compuesta por cinco elementos. (Incidentally, the lens in the phone is made up of five elements.) A propà ³sito, quiero hacer una fiesta este fin de semana. By the way, I want to put together a party this weekend. A propà ³sito, la ciudad est a menos de 40 kilà ³metros de la frontera. (By the way, the city is less than 40 kilometers from the border.) A propà ³sito, tenemos ms de 40.000 alumnos. (Incidentally, we have more than 40,000 students.) Note that por cierto does not mean certainly, as you might expect. As a noun in other usages, cierto often expresses certainty. In some contexts, a propà ³sito can also mean on purpose or deliberately. (As a noun, propà ³sito typically means intention or purpose.) When used in that way, a propà ³sito typically comes after the verb instead of at the beginning of a sentence. Example: Determinaron que no fue a propà ³sito. (They determined it was not done deliberately.) A propà ³sito de also can be a way of saying with respect to, concerning or something similar. Example: Recordà © una historia que Mam me contaba a propà ³sito de mi padre. (I remembered a story Mom would tell me about my father.) Downgrading Closely related to the introduction of afterthoughts is that of minimizing or downplaying the importance of what follows. In English, this might be done using anyway, such as in Anyway, we found a restaurant that wasnt closed. Such minimizations are more common in speech than they are in writing. In Spanish, common phrases of downplaying include de todas formas, de todas maneras and de todos modos. They can be translated in a variety of ways, as these examples show: De todas formas, no me molesta que tienes muchos amigos. (In any case, it doesnt bother me that you have a lot of friends.) De todas maneras los escdalos financieros generan un impacto reputacional. Anyway, the financial scandals are having an impact on reputation. De todos modos, le gustarà ­a volver a tener su propia casa. (In any event, she would like to return to her own home.) All three of these Spanish phrases can be used interchangeably with no significant changes of meaning, much like the English phrases used above. Especially in speech, it is also common to use words such as nada and/or bueno something like  filler words for a similar effect: Bueno nada, queria compartir con ustedes mi tatuaje. (Anyway, I want to share my tattoo with you.) Bueno, quizs podamos  hacer una excepcià ³n. (OK then, maybe we can make an exception.)

Economics Coursework Essay Example | Topics and Well Written Essays - 1500 words

Economics Coursework - Essay Example Affordability of the customers: As mortgages have become less costly, the affordability of an average citizen has therefore gained growth. Moreover, mortgages are more readily available than before and therefore a consumer is more likely to avail himself a loan and increase his overall set of choices. Thus resulting in an increase in the demand shift of the consumer. (Neate, 2013) b. Recession: The pressures have double impact on the demand shifts. Not only it has reduced the purchasing power of a consumer but it has also taken away many sets of choices where a person used to invest. As recession is around, most of the investments are found to be riskier while these are also not expected to earn high returns. Therefore, potential investors, especially the large ones look at housing as a safe avenue for investment as the returns that it earns are quite stable while the capital gains are also a part of the investment. This also influences the demand curve to shift to its right and incr ease the overall demand of the house owning. (Neate, 2013) (O’sullivan, 2008) c. Herd Sentiment: It shall be noted that the growth of house prices has already outgrown the rate of growth in the loans extended in the form of mortgages. Such only reveals a point that the general public is following the trend. This can be due to reasons such as the fear of inflated home prices after the boom that these prices have received. Moreover, its cause may also be in the form of those investors who have looked it as a golden opportunity of capital gains and thus creating an artificial bubble of price inflation that will sooner or later burst out. (Rowley, 2013) d. Expectations: As prices have surged up so are the expectations of the people. As suggested in a recent article, the cost of average home may go up by 50,000 pounds in the course of the next five year. Moreover, keeping the sentiments in mind, the government’s recent move to provide interest free loan up to 600,000 pounds has only shifted the trend further and have once again given raise to the demands of the masses. (Lambert, 2013) If we point our attention to the factors that have may have impacted the supply side of the UK’s house owning phenomenon, the most important factor that grabs has shifted the supply curve includes the impact of exports whose disappointing performance has impacted the supply side of the above mentioned phenomenon. Since then, the government has focused more and more on supply side by encouraging the construction of more houses. Moreover, the lenders have been too lenient not only towards buyers but towards the sellers as well, since by supporting them in financing their projects they are pushing the supply curve as well, which in this case is toward its right. In a recent move, the government launched funding scheme which allowed banks to avail themselves inexpensive financing that allowed the lowering of the interest rates whose impacts were also seen on the deman d side. (Rowley, 2013) 2. As one can see in the table below that the profits will increase to 40,000 pounds if the fare is decreased from 10 pounds to 8 pounds: Fare Demand Total Revenue New Cost Profit 8 6 480 440 40 10 4 400 410 -10 12 3 360 400 -40 (O’sullivan, 2008) a. Below are the calculations required in case of price elasticity’s of demand by the midpoint formula method as well as percentage change

Employee Benefits Essay Example | Topics and Well Written Essays - 1500 words

Employee Benefits - Essay Example In 1998 and 2000, other revisions on worker remuneration were effected. There was a proposition in 2002 to modify employee share based compensation. Actuarial gains and losses concerning employee benefits were acknowledged in 2004. In 2007, ceilings were introduced into defined benefit assets and funding requirements. In 2009, the ceilings on defined benefit assets and funding requirements were published as exposure drafts and discount rate for employee benefits using market yield corporate bonds was proposed. IAS 19 final interpretations were also published in 2009. The objective of IAS 19 Employee Benefits is to provide guidelines to both business and non-business organizations on how to measure, present and disclose the expenses of providing employee benefits. IAS 19 covers all known employee related expenditures. The employee benefits are expenses incurred by entities in exchange of services rendered by their employees. They include salaries and wages, profit sharing plans, compensated absences, leaves, deferred compensation programs, bonuses and free or subsidized good or services given to employees. It also covers various benefits paid to employees. The benefits are medical and life insurance benefits, pensions, house benefits, jubilee benefits, post employment medical and life insurance as well as termination benefits (Deloitte 2010c). IAS 19: Employee benefits suggest that organizations should acknowledge a liability or an expense resulting from consuming the service of an employee in the year in which the service was consumed. Therefore, IASB and IAS 19 recognize expenses incurred on the employee benefits on the year in which it occurred. The measurements, presentation and disclosures covers definite accounting period only. Measurement is defined as an action to obtain a magnitude of a given item or process. Therefore, employee benefits measurement is an attempt to assign value to what employees

Choose two anthropology questions in this six questions and answer Assignment

Choose two anthropology questions in this six questions and answer - Assignment Example As a rite of passage, hajj represents a change in faith as Muslims who attend this annual pilgrimage are considered to have attained great faith in their religious beliefs. Hajj is also a rite of passage because it is a ritual worship that members of the Islamic faith are expected to fulfill (Tagliacozzo 4). The concept of the â€Å"one-and-the-many† can be said to relate to the notions of whether Hinduism is a monotheistic or polytheistic religion. Based on this concept, one understands how the multiplicity of Gods is an issue of concern in the Hindu religion. Among the Hindus, there is a tendency to worship many Gods as opposed to worshiping a certain religious deity. The various deities in the Hindu religion are a representation of a single supreme being known as Brahman. Hindus do not worship many gods; rather, they have only one god and different deities (Morgan