MIDI for beginners :: Computer Science

MIDI for beginners Background The acronym MIDI stands for Musical Instrument Digital Interface. A Musical Instrument is a machine that makes sounds which humans have decided to call music. Digital means information that is encoded in numerical form, i.e. numbers, while Interface means a machine which facilitates communication between two or more systems. In practical terms, MIDI is a standard way for all sorts of modern musical equipment to talk to each other. This equipment commonly consists of things like keyboards, computer sequencers, synthesisers, and samplers, but it also includes mixers, tape recorders, effects generators, guitars, drum kits, wind instruments etc. The MIDI Standard was designed in the early 80's by a partnership between Roland and Sequential Circuits, two of the largest synthesiser manufactures of the time. This came about because of pressure from keyboard players, who wanted a universal interface standard for all their synthesisers to comply to. They were fed up with different synthesiser corporations using their own communications standard which were incompatible with those of other corporations. After the publication of the MIDI standard in 1984, other musical equipment manufactures quickly began to implement it in the designs of their products and MIDI became a world wide standard. A major advantage of MIDI over old analogue interface standards, such as CV (Control Voltage), is that it is possible to transfer up to sixteen channels of data down one cable, as opposed to CV's one channel per cable. Another major advantage of MIDI is that it enables computers equipped with MIDI to be used to write music and control musical equipment. This is done with programs called sequencers. They can give a very high degree of control over music, impossible through conventional means. Another advantage of MIDI is that it is now a world wide standard, insuring that practically all professional electronic music equipment will be compatible with it. Having sixteen channels to transfer MIDI data can also be a limitation when you want to use more than sixteen channels. However, this problem can be got around by using two or more midi interfaces each giving sixteen channels. Another limitation of MIDI is that you can not use it to transfer real time digital audio. MIDI information is transferred by sending a digital signal down a wire from one system to another. This digital data takes the form of binary numbers, physically transferred by sending zero volts for zero or off and plus five volts for one or on. Certain binary numbers convey certain types of information, for example a certain binary number will tell the device that a note on a keyboard has been pressed. This is called a note on event and the

Paranoid Schizophrenia: They’re Out To Get Me Essay example -- Mental

Introduction Paranoid Schizophrenia is a serious psychotic disorder that impairs a person’s perception of reality, causing the mind to lose contact with the real world. This disorder greatly affects one’s ability to negotiate the activities of everyday life, such as school, work, or social situations. In 1898, Emil Kraepelin was to the first to provide information regarding schizophrenia naming it â€Å"dementia praecox†, and defining it as a psychosis with an early onset of intellectual deterioration (Schiffman & Walker, 1998). Ten years later, a Swiss psychiatrist, Eugen Bluler renamed the disorder using a combination of the Greek words â€Å"skhizein† and â€Å"phren† meaning split mind (Barlow & Durand, 2011). He believed the unusual behaviors were a split from the basic functions of personality and reality. Today, there are misconceptions about the term schizophrenia in which society confuses a split mind with a split personality, or multiple persona lities. The broad definition of schizophrenia continues to be researched and narrowed into subtypes with specific presenting characteristics. Paranoid schizophrenia is one of the five major sub-types listed in the Fourth Edition of the Diagnostic Statistical Manual of Mental Disorders; Text-Revised (DSM-IV-TR) with the list continuing to expand as the criteria identifies specific related symptoms or behaviors (American Psychiatric Association, 2000). Although this disorder only afflicts 1% of the total population of the United States, this amounts to over three million people living with the disorder. Diagnosis Diagnosis of this syndrome typically occurs in late adolescence through early adulthood with the onset of behaviors marking deterioration in the ability to perform normal... ...000). Diagnostic and statistical manual of mental disorders- fourth edition-text revision. Washington, D.C.: Author. Barlow, D. H., & Durand, V. M. (2011). Abnormal psychology: An integrative approach (6th ed.). Belmont, CA: Wadsworth, Cengage Learning. Foerschner, A. M. (2010). The history of mental illness: From "skull drills" to "happy pills". Student Pulse, 02(09), 1-4. Maguire, G. A. (2002). Comprehensive understanding of schizophrenia and its treatment. American Journal of Health-System Pharmacists, 59(5), 4-11. doi: 1079-2082/02/0901 National Institute of Health. National Institute of Health, National Institute of Mental Health. (2009). Schizophrenia (09-3517). Schiffman, J. & Walker, E. F. (1998). Schizophrenia. In H. Friedman (Ed.) The Disorders: Specialty Articles from the Encyclopedia of Mental Health. Academic Press: New York.

B2B and International Exercise

In the conduct of this study, the question that must always be put in our mind is if there is a possibility for the city of Scottsdale and Marrakesh to have a business transaction to improve their economy as a whole. After reading all the necessary materials regarding the economic condition of the two cities, I have learned that Marrakesh has a 55. 5 % rate of share of services in the totality of the city’s GDP. Moreover, Morocco is also known for its industry in mining, food processing, leather goods, textiles and tourism. In terms of their educational attainment level, only 52% of the total population is literate.Its export commodities are mostly clothing, fish, crude minerals, fertilizer, transistors and inorganic chemicals. On the other hand, one of the â€Å"booming† industries in Scottsdale is the business and professional industry that enables them to have an impressive economic growth for the past years. They are also known for their best resorts destinations an d high technologies and bio-technology. Feasibility Study Based from the above facts that I gathered, I could say that there is a great possibility of having business with Marrakesh.In the industry of tourism, since Marrakesh is known for their tourism, Scottsdale could develop resorts in Marrakesh. The high rate of tourists that goes to Marrakesh would serve as an opportunity for the Scottsdale to put up resorts. If this would go to happen, tourists in Marrakesh will continue to increase. At the same time, while benefiting the Scottsdale, the resort that will be established would surely cut the unemployment rate of Marrakesh since jobs will be provided to their citizens and, in the later years, could uplift the poverty rate of Marrakesh (Shagazatova).On the other hand, since there is a high illiteracy rate in Marrakesh, and there are a lot of professionals in Scottsdale like teachers, Scottsdale could invest in establishing schools in the Marrakesh in order to uplift their rate of literacy. The schools that I am referring here are only vocational schools, will also provide basic knowledge regarding literacy, that might be a good help in the booming industry of Marrakesh (Ranis). With this, Scottsdale could also get workers from the schools that they had established. With the median age of 24 years, there would be no doubt that Marrakesh industry is concentrated on the service sector.Most of the companies here must be labor intensive in order to take advantage of the large pool of laborers in the market. Wage rate is expected to be low compared to other countries (Phelps). This is also one of the reasons why it is advantageous to put up a business in Marrakesh aside from its economic opportunities in the current days. Since Scottsdale is well known for its business services, it would be a good decision to establish a service oriented company in Marrakesh. It could be in line with the transistor’s industry or textile industry that can be provided by Scot tsdale to the workers of Marrakesh.Data Gathering and Recommendations Through the suggested strategies above would definitely benefit both of the cities. Marrakesh could take advantage of the job opportunity that Scottsdale’s investors bring with them and the latter could take advantage of the tremendous amount of laborers in Marrakesh as well as the low operational costs in terms of the wage rate. After presenting this paper to the Scottsdale’s officials, data gathering in Marrakesh economic standing should be implemented right away in order to validate the theories that we have cited in this paper.The data’s were then studied by the economic analysts of Scottsdale in order to have an in depth understanding of the current status of Marrakesh and in order for us to be guided in the actions that we are going to undertake. REFERENCES Phelps, Edmund S. â€Å"Low-Wage Employment Subsidies Versus the Welfare State. † 2007. Ranis, Gustav. â€Å"Human Developme nt and Economic Growth. † 2004. Shagazatova, Batir Mirbabayev and Malika. â€Å"The Economic and Social Impact of Tourism. † 2005.

Native Americans in the United States and Patrick J. Buchanan Essay

In the introduction, Patrick J. Buchanan notes that Queen Elizabeth II went to the settlement of Jamestown in 2007, the town’s 400th anniversary. The Queen had been there before, when Jamestown was founded and again in 1957. Buchanan uses the Queens visit to Jamestown as a firsthand experience of how much has changed in Jamestown since its founding. He quotes the Queen, â€Å"Since I visited Jamestown in 1957, my country has become a much more diverse society just as the Commonwealth of Virginia and the whole of the United States of America have also undergone a major social change. † Buchanan mentions how different not only Jamestown was 400 years ago but also how different her citizens were. For example, the citizens massacred Native Americans and enslaved Africans. Jamestown was not yet built around the ideas of democracy and equality. The American Revolution was another key example; it was fought for freedom and distance from Britain and not for equality. The only persons of power at the time were rich white men. Buchanan makes the point that America 400 years ago was not based around democracy, equality and diversity, so why should we value that in the present? In 1957 the Queen visited Jamestown, Virginia. The changes noted by the Queen were extreme. â€Å"Virginia has indeed become a radically changed society. No longer does Richmond proudly call herself the Capital of the Confederacy. Lee-Jackson Day is out. Martin Luther King Day is in. The Confederate flag flies nowhere. † This demonstrates how much can change in 350 years. Buchanan believes that 2007 Virginia is ashamed of 1957 Virginia, and the state should be proud of who she was in 1607. America in 1607 was did not celebrate diversity or multicultural beliefs, so why should they now? Buchanan describes early American settlers as having an â€Å"us-or-them† sentiment. For example, the early settlers thought that their Christian faith made them superior beings and those who opposed them were inferior. Another point that Buchanan makes is when other culture such as Native American, African, or Spanish cultures were introduced to Americans they were not only rejected, but fought against in a violent manner. In 2007 Virginia culture and diversity is not only welcomed, but celebrated. Buchanan believes that this is not what the Founding Fathers of America had in mind during the creation of our country. In his concluding thoughts, Buchanan remarks that America is a changing nation especially in the areas of diversity, democracy and equality. No longer is religion taught in schools, and with it dies the beliefs that founded this nation.

Culinary Arts: Garde Manger 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.

To what extent did Russia undergo economic

To what extent did Russia undergo economic and political reform in the years 1906-14? After the 1905 revolution Russia was in need of reforms both economically and politically, to allow it maintain its role of a great power and to prevent another revolution occurring the answer to this was the October Manifesto. However, due to the stubbornness of the Tsar who was determined not to relinquish his autocratic powers, what may have appeared as reforms were largely superficial making little change in particular to the Russian political system. In early 1906 the OctoberManifesto was published as a result of the 1905 revolution and as a way to appease the peasants and appear as a revolutionary change, when truly very little was changed by this. Political activity was now legal so political parties now no longer needed to remain secrets; freedom of speech was also introduced along with the introduction of a state elected Duma. Most of these changes were made as a bid to make the peasants co ntent and prevent the chances of another revolution; however this also banned trade unions and newspapers. The introduction of the first Duma was short lived due to to the disapproval of the Tsar, who dissolved it under theFundamental Law, after only 73 days. This was due to the number of members that were revolutionaries, who wanted to push through more moral ideas and reforms than the Tsar was willing to do, only 2 out of 391 made it into the law. This then led to the Wborg manifesto, which was a group of frustrated Duma members teaming up to go against the Tsar's action of raising taxes – unfortunately this backfired, leading to all 200 members being banned from standing in the next Duma. The next Duma followed a similar suit, Just with the gaining of the Social Revolutionaries and theSocial Democrats gaining seats, it was the third and fourth Dumas that raised the most change within Russian society, but this may have been due to the Electoral Reform. In order to make sure that the government gained the best support, voting was restrained to the wealthy, meaning that only 30% of Russia could vote. This meant that the majority of the revolutionaries supporters could not vote, leading to to mostly pro-government parties winning the vote. The Duma was never seen as political institution and was never meant to be, it was supposed to be a simple forum o please the masses and make them believe that the autocracy was listening.The Third ; Fourth Dumas managed to make some successful reforms as the government were more inclined to listen to them, they managed to replace the biased Land Captains, introduced universal primary education, create health and accident insurance programmes and made improvements to the army and navy. Despite the fact that the Duma were never supposed to be parliamentary, they still successfully managed to have the Duma debates reported in the press, meaning that the reformers and radicals participating managed to influence public opi nion egitimately – something that had been denied to them previously.This reform had helped helped create political reform, as it had created a space where a forum for political debate could be taken note ot, and could be published without being censored. It meant that political parties had been established legally, and despite the fact that the Third and Fourth Dumas thwarted many reforms, they helped too, as not all of the seats in this institution had been pro-government. Another factor affecting the amount of political change over the years is the use of Peter Stolypin, the Russian Prime Minister from 1906- 1911.It is hard not to see Stolypin as a reformer, as he evidently saw what policies and laws needed to be changed or created in order to vanquish any repeat of the revolution, as he brought great changed to the Russian countryside, giving peasants the freedom to leave their communes, offering them cheap land in Siberia, or helping them to own their pieces of land thro ugh the redistribution of peasant wealth through the Land Bank.This had a big impact, as it lead to 50% of peasants having ownership of land, and agricultural production had risen from 45. 9 million tonnes to 61. 7 million tonnes in 1913. It is said by historians hat had war not broken out, Russia could have developed a more stable, loyal and prosperous peasantry, as Stolypin envisaged. On the other hand, despite the rise on crop yields and production, not much was done about the living and working conditions of Russia's industrial workers.This was definitely shown after his assassination, where a plague of Russian unrest came around again, only leading to the Lena Goldfield massacre of 1912 in Siberia, which led to strikers being killed by the police. This was then a tipping point for more strikes and demonstrations, reminiscent of the 1905 revolution, to take place, showing that despite the fact Stolypin had helped reform a little economically, it was immediately undone by the wra th of popular unrest amongst the lower classes once more.From these two arguments it is very easy to see points helping question the extent of the Russian economic and political changes over the years, but I believe that the true tipping point comes to the Fundamental Law. This Fundamental Law, created in 1906, created the constitution of the Russian Empire, creating a national parliament with the lower house (the Duma), being elected. This all sounds very good, and sounds like political eforms were in their heights in 1906 – but this was completely changed in Article 87.This gave the right for the Tsar to govern by decree, thereby ignoring his faithfully created' parliament. This basically meant that the creation of the Duma was practically pointless, as the Tsar could still change his mind as to what laws he wanted created, and which laws he would go against, putting incredible restrictions on how much could be done within the Russian Empire. Therefore, I find that the exte nt to which the Russian Empire underwent economic and political changes were the smallest possible, as Nicholas was not willing to create any reforms.

Digital Equity

Running head: Digital Age Grand Canyon University: With the increase of internet usage and the use of the digital technology consumers have impacted the way we look at health services and the health care delivery system. Because consumers are seeking health information online it makes use reevaluate the way we think of the medical information we receive from our primary care provider and the relationship between that provider and his patients. Many consumers seek information for themselves, for friends and family.Consumers seek health information via the web, phone, fax, email system, discussion boards, social networks, forums, and bulletin boards. The anticipated shifts in service are secondary to the lack of education, literacy skills, and mistrust of providers, poverty, and the lack of health coverage. â€Å"Consumers across all categories of age, education, income, race, ethnicity and health status increased their information seeking significantly, but education level remained t he key factor in explaining how likely people are to seek health information† (Tu, Cohen, 2008).A second reason for a change in service utilization is the high cost of medical treatment and the insurance premiums that patients must pay. With the increase of financial responsibility patients have an increase motivation to obtain health information and weigh in on their options for treatment and payment. By using the internet consumers have a valuable tool that empowers them, reduces social isolation, and helps consumers identify medical issues. One of the most critical ways in which the power of information can influence consumers is by finding ways to support the consumer emotionally.The District of Columbia and their federal government has released a new regional health information organization (RHIO) designed to improve the way health care is delivered. By encouraging the use of the Health information technology (HIT) they are improving care. The mission for the District of Columbia Primary Care Association (DCPCA) is to promote health care reform. The DCPCA accomplishes its mission by promoting the health equity of the poor, uninsured, and the underserved residents of the community. Through the mplementation of health reform the District of Columbia has worked to improve health care services through patient shared records, and clinical outcomes across the organization. â€Å"In 2009 health care reform asked us to do three things: (1) Improve the health of the population at large; (2) enhance the patient experience; and (3) reduce the per capita cost of care† (Baskerville ,S, 2011). With the recent improvement and emerging trends of advanced digital technology our older patients have the ability to research health information via the internet and web based technology.The web itself has changed the way our elderly population views diseases and conditions secondary to the way the information is displayed. By increasing what we view and how we view it, we as consumers turn to three major websites to seek medical information, Medline Plus, Health Finder, CAPHIS. Patients seek trust worthy health information for solutions and providing them with additional data in which to ask their medical provider. Medical websites are designed to enhance the ability of the disabled and the elderly through communication, social emotional support, and enhancing the patient provider relationship.The similarities of community health information network (CHIN) and health information network (HIN) is that they concentrate on helping services for a single community, while (RHIN) regional health information network concentrates on the social community. CHIN looks to improve efficiency, reduce care cost and enhance health care delivery. RHIN is considered a multi-stake holder organization. RHINO consist of hospitals, employers and payers, and small clinics. RHINO’s purpose is to encourage the adoption of health information technology.RHINOSâ⠂¬â„¢s main objective in the health administration is to improve quality of delivery patient care, network health information, patient customer service and reduce delivery care cost. References McGarth, N. (2010). Under pressure: The changing role of healthcare CIO. Retrieved from http://www. necelevateperformance. com/pdf/Healthcare/EIU_NEC_Whitepaper. pdf Tan, J. (2010). Adaptive health management info system. (3rd ed. ). Sudbury MA: Jones and Bartlett. Baskerville, S. (2011). Status of Health Care Reform Implementation in the District of Columbia. Retrieved May 13, 2012 from online article source: