A Different Perspective of Heathcliff - 866 Words

What is a traditional hero? In many works of literature, the author portrays a character that is faced with many difficult obstacles, in which the character often prevails and becomes a hero. The challenges, which the character undergoes, allows the reader to appreciate the character due to their bravery, courage, and their willingness to sacrifice. In Wuthering Heights by Emily Brontà «, many readers are able to view Heathcliff as a hero, but how? Heathcliff is not a traditional hero. In fact, the term Byronic hero, would fit Heathcliff’s description in every aspect. Now, what are the characteristics of a Byronic hero? In order to be classified as a Byronic hero, the character needs to display: a high level of intelligence, a troubled†¦show more content†¦Heathcliff becomes devastated and begins his outrage. â€Å" †¦I shall pay Hindley back†(65), begins Heathcliff’s long journey of seeking revenge on those who have mistreated him. Heathcliff find s revenge in two ways, hurting the children of those who have hurt him and obtaining the land of those who have mistreated him. Hindley becomes the first person to endure the revenge of Heathcliff. When Heathcliff returns to Wuthering Heights after his three-year period of separation, Heathcliff notices Hindley has a gambling and drinking problem. Hindley obviously runs out of money, which leads to Heathcliff offering to lend him money. This was all apart of Heathcliff’s intelligent scheme on acquiring Wuthering Heights because Hindley was not able to pay Heathcliff back his debt, which in turn handed Wuthering Heights over to Heathcliff. Shortly after Heathcliff’s new inheritance, Hindley passes away due to his drinking problem, which leads to Heathcliff’s next stage on getting revenge on the children. Heathcliff, takes in Hareton, and forces him to be a field hand and deprives Hareton of an education, the same way Hindley did to Heathcliff. Edgar Linton, becom es the next target of Heathcliff’s revenge. The first action of Heathcliff’s revenge towards Edgar, is marrying Edgar’s sister, Isabella. Heathcliff elopes with Isabella and treats her badly and is cruel to her and Heathcliff even hangs Isabella‘s dog.Show MoreRelatedHeathcliff Character Analysis848 Words   |  4 Pagesfrightened reactions to Heathcliff, including her own initial response, Heathcliff and Catherine’s interactions with the Linton family mark the first time the two children experience the reinforcement of Heathcliff’s inferiority—and, specifically, his inferiority in relation to his racialized features—outside of the home. As Catherine is taken into Thrushcross Grange, the Linton family is at a loss with what they’re meant to make of Heathcliff. Between Mr. and Mrs. Linton, Heathcliff is referred to byRead MoreExternal Crisis Throughout Wuthering Heights1518 Words   |  7 Pageson a journey of love and obsession, betrayal and revenge and a tragedy of wasted passion and lost potential. The book Wuthering Heights is told through the perspective of a written diary owned by a man, this man being Mr. Lockwood. In 1801, Mr. Lockwood rents the property Thrushcross Grange, a property owned by the mysterious Mr. Heathcliff of Wuthering Heights. Upon meeting Mr.Heathcliff, Mr. Lockwood is face with a brooding and mysterious man. After spending an eerie night in Wuthering HeightsRead MoreWuthering Heights By Charlotte Bronte1244 Words   |  5 Pagesand Lockwood give there own opinions of interest to the story, which creates for the audience a highly biased account of the story and its characters. Nelly’s role is to be Lockwood’s inside source of information and in doing so, she tells her perspective of the story which Lockwood takes and twists to his own invention. The audience is first approached with Lockwood as a narrator when the opening scene begins with the telling of the home that he has just approached: â€Å"Wuthering Heights is the nameRead MoreTragic Family Relationships in Wuthering Heights by Emily Bronte 1018 Words   |  5 PagesIntroduction: In 1800 Century, Catherine and Heathcliff grow up together at Wuthering Heights, Catherine family home on the northern English moors. Heathcliff arrives as a gypsy founding. Catherine father Mr. Earnshaw raises him as a son. Catherine is a strong and wild beauty who shares Heathcliff wild nature Alone together on the moors Catherine and Heathcliff feel as if they are soul mates. But to Heathcliff despair outside forces begin to pull them a part. After falling in love with CatherineRead MoreWuthering Heights by Emily Brontà «1111 Words   |  5 PagesIntroduction: Catherine and Heathcliff grow up together at Wuthering Heights, Catherine family home on the northern English moors. Heathcliff arrives as a gypsy founding. Catherine father Mr. Earnshaw raises him as a son. Catherine is a strong and wild beauty who shares Heathcliff wild nature Alone together on the moors Catherine and Heathcliff feel as if they are soul mates. But to Heathcliff despair outside forces begin to pull them a part. After falling in love with Catherine .She reject himRead MoreNever Give up on Love in Wuthering Heights by Emily Bronte694 Words   |  3 Pagesbitterness and vein. That is how Mr. Lockwood comes to pity and understand Heathcliff. By hearing this love story that Aservant who has lived through it to see it all happen tell him. Thou this foreigner (Mr.Lockwood) is yet alike with Heathcliff because they both share the aspect of not being true people of Wuthering Heights; for they have both come from other city. But in this story we are taking beyond this to understand why Heathcliff is such way. Lockwood is more social and is the person to start upRead MoreThe Meaning of Revenge within Wuthering Heights by Emily Bronte902 Words   |  4 Pages   Ã‚     Within â€Å"Wuthering Heights† there are two main narrators; Lockwood and Ellen also known as Nelly Dean. While Lockwood is the narrator to begin the novel, Nelly is the one who is explaining the love story between Heathcliff and Catherine to Lockwood   through her perspective. Since Lockwood is the one who is interested in knowing about this love story and Nelly is the one who recounts the story to Lockwood, it shows how revenge becomes a main theme of the novel. When Lockwood read CatherineRead MoreQuotes Of My Love For Linton 996 Words   |  4 Pagesâ€Å"It would degrade me to marry Heathcliff now; so he shall never know how I love him: and that, not because he s handsome, Nelly, but because he s more myself than I am. Whatever our souls are made of, his and mine are the same; and Linton s is as different as a moonbeam from lightning, or frost from fire.† ( Brontà «, ch.9) 2. â€Å"My love for Linton is like the foliage in the woods: time will change it, I m well aware, as winter changes the trees. My love for Heathcliff resembles the eternal rocks beneath:Read MoreWuthering Heights1634 Words   |  7 Pagesrevenge that is told from the neutral perspective of Nelly Dean to Lockwood. Nelly Dean was the maid to the Earnshaw and Linton family and was a neutral witness to the generational cycle of revenge and suffering. She tells the story of the Earnshaw and Linton families to Lockwood, the new resident of Thrushcross Grange, because he is curious of his neighbors residing in Wuthering Heights. Nelly Dean then begins saying that Hindley’s resentment for Heathcliff at the beginning of the novel is the triggerRead MoreThroughout a lifetime, only so much conflict could be bore upon oneself. There is always a1000 Words   |  4 PagesConflicts in books or stories could show what is going on in the real world or what an author is thinking and making up.In Wuthering Heights there could be two different conflicts man vs. man, with the conflict between Heathcliff and Edgar, as well as a conflict of man vs. self, with the inner conflict that Catherine faces in deciding between Heathcliff and Edgar. Every story has conflicts, similarities, literary devices, cultural happenings, and even more. The question to be asked is ‘Why?’, ‘Why is there

Salaries of Canadian Members of Parliament 2015-16

The salaries of Canadian members of parliament (MPs) are adjusted on April 1 each year. Increases to MPs salaries are based on an index of base-wage increases from major settlements of private-sector bargaining units maintained by the Labour Program in the federal Department of Employment and Social Development Canada (ESDC). The Board of Internal Economy, the committee which handles the administration of the House of Commons, does not have to accept the index recommendation. On occasions in the past, the Board has put a freeze on MP salaries. In 2015, the MP salary increase was significantly more than what the government offered in negotiations with the public service. For 2015-16, the salaries of Canadian members of parliament increased by 2.3 percent. The bonuses that members of parliament receive for extra duties, for example being a cabinet minister or chairing a standing committee, were also increased. The increase also affects severance and pension payments for MPs leaving politics in 2015, which, as an election year, will be larger  than normal. Base Salary of Members of Parliament All members of parliament now make a basic salary of $167,400, up from $163,700 in 2014. Extra Compensation for Additional Responsibilities MPs who have extra responsibilities, such as the Prime Minister, Speaker of the House, Leader of the Opposition, cabinet ministers, ministers of state, leaders of other parties, parliamentary secretaries, party house leaders, caucus chairs and chairs of House of Commons committees, receive additional compensation as follows: Title Additional Salary Total Salary Member of Parliament $167,400 Prime Minister* $167,400 $334,800 Speaker* $ 80,100 $247,500 Leader of the Opposition* $ 80,100 $247,500 Cabinet Minister* $ 80,100 $247,500 Minister of State $ 60,000 $227,400 Leaders of Other Parties $ 56,800 $224,200 Government Whip $ 30,000 $197,400 Opposition Whip $ 30,000 $197,400 Other Party Whips $ 11,700 $179,100 Parliamentary Secretaries $ 16,600 $184,000 Chair of Standing Committee $ 11,700 $179,100 Caucus Chair - Government $ 11,700 $179,100 Caucus Chair - Official Opposition $ 11,700 $179,100 Caucus Chairs - Other Parties $ 5,900 $173,300 *The Prime Minister, Speaker of the House, Leader of the Opposition and  Cabinet Ministers  also get a car allowance. House of Commons Administration The Board of Internal Economy handles the finances and administration of the Canadian House of Commons. The board is chaired by the Speaker of the House of Commons and includes representatives of the government and official parties (those with at least 12 seats in the House.) All of its meetings are held in camera (a legal term meaning in private) to allow for full and frank exchanges. The Members Allowances and Services Manual  is a useful source of information on House budgets, allowances, and entitlements for MPs and House Officers. It includes insurance plans available to MPs, their office budgets by constituency, the House of Commons rules on travel expenses, rules on mailing householders and 10-percenters, and the cost of using the members gym (annual $100 personal expense including HST for MP and spouse). The Board of Internal Economy also publishes quarterly summaries of MP expense reports, known as  Members Expenditures Reports, within three months of the end of the quarter.

Expansion Of The New World - 940 Words

Initial expansion into the new world was done by the spainiards and porteguese. The spaniards in search of gold and other treausres expanded there presenece through explorations and often conquest against native inhabitants of the land. In the 1570’s the ordinances of discovery were passed by Spain which banned some of the more brutal conquests. Because of this the spanish expanded there presence in America through colonization (Brinkley p.15). Though an intial phase of exploration and conquest expanded the european presence in America in search of riches, Colonization brought settlers with hope of profitable agriculture oppurtunities. With these settlers came European culture and the Catholic Church. By the Early 17th century, Catholic missions were becoming a common form of settlement with the mission to convert natives. This missionary work became one of the most important factors for European immigration to America after the era of conquistidors (Brinkley p. 16). The ability to start anew also drew many settlers in an effort to avoid religious persectuion in their home countries. Another factor for the European expansion was the ability to establish a colony in the New world to supply the country with resources that were becoming scarce. This tactic allowed the countries to keep imports to a minimum and increase exports. This not only helped a countries economy but also strenghtened their standing ( Brinkley p. 25). The first place to be colonized in the New World wasShow MoreRelatedExpansion Of The New World1722 Words   |  7 PagesExpansion is something that our history has come to know for many years. Throughout all these years of expansion one question arises: is expansion always positive? When thinking about expansion, many people never consider the people affected by it. Expansion in the New World had a negative effect on the Native Americans in North America. The worst effect of expansion can be seen in the loss of native land. Expansion into native land was something that was very common throughout history. For exampleRead MoreExpansion to the â€Å"New World† Essay734 Words   |  3 PagesExpansion to the new world was both a blessing and a curse to both Europeans and the natives of the new land. The first motive for exploring the new world to find a easier and faster way to trade with the Asian countries, but soon after two new continents were discovered it sprouted different motives from everyone. Even though everyone had their own ideas and dreams about the new world they were all ended up with a common goal, to find silver and gold and become very wealthy. Every country heardRead MoreEuropean Expansion Into The New World1896 Words   |  8 Pagesmotivations for European expansion into the New World, which include economics, religion, and politics, would combine to shape the colonies and eventually the nations of North and South America. In 1381, King Henry VII England defeated the French at Agincourt, essentially signaling the end of the age of chivalry and the feudal organization of Western Europe. Over the next two centuries of nearly constant strife, Europe would consolidate the feudal powers into monarchies, creating new nation states. NationalRead MoreEssay about European Expansion Moves to the New World1653 Words   |  7 PagesThus in the beginning all the World was America. Interestingly, the development of Lockes ideas of property and money came at a time when Europeans expansion into the New World was just beginning to take hold (source). The very definition of economic imperialism is that countries expand their territories to collect resources in order to garner economic profit. The more robust economies tend to become the most powerful nations, and so the control of resources is sought out in order to monopolize bothRead MoreEssay about The Historical Impacts of the Protestant Reformation946 Words   |   4 PagesThe Protestant Reformation and European expansion have both left political, social and economic impacts throughout history. The Protestant Reformation which was started in the 1500’s, by a Catholic man named Martin Luther caused political instability and fragmented the Holy Roman Empire. It economically caused the church to go bankrupt and socially allowed for the rise of individualism among the people; Luther gave the people of Europe the long needed reason to break free of the church. The ProtestantRead MoreRole of the United States Government in the Global Expansion of Us Media Industries1478 Words   |  6 PagesGlobal Expansion of US Media Industries 1 ROLE OF THE UNITED STATES GOVERNMENT IN THE GLOBAL EXPANSION OF US MEDIA INDUSTRIES by Lunlalit Niyomtas Student ID : 14060193 Global Media 2MED7H3 Professor Daya Thussu School of Media, Arts and Design University of Westminster Global Expansion of US Media Industries 2 Introduction In the recent past, we cannot deny that the media industry has experienced monumental growth both in terms of revenues and global expansion. Like other businessesRead MoreThe International Expansion Of Bmw And Ikea1378 Words   |  6 Pagesincreasing numbers of organization invested their brand track to overseas markets. New markets have new consumers, chances, and profits and extend brands existence. The international expansion of BMW and IKEA has led them to achieve huge success. In this essay, will explore what lead each brand to move away from their traditional market and investigating how the two brands developed successful international expansion, and what has made them global household names. Firstly, BMW, which is establishedRead MoreThe European Expansion Of Europe1286 Words   |  6 PagesFor many generations, it was taught that the expansion of Europe to the Americas, (also known as the European expansion), had a huge impact on all societies of the old world. The importance of this was taught to societies all across the world, and was indeed a necessary occurrence. Up until recently, the idea was never given any real thought for the majority of people as to how, over many generations in the family and throughout the passage of time, how they precisely got where they are currentlyRead MoreThe Expansion of America and The Homestead Act of 18621180 Words   |  5 PagesAmerica was becoming a world power to be reckoned with. In order for the country to keep up with the increasing amount of people and become more powerful, the US expanded westward. After the War of 1812 a lot of Americas attention went into exploration and settlement of all of the territory to the West, which had been expanded by the Louisiana Purchase. Families of pioneers traveled westward and found new communities through what is now called the Midwest. Westward expansion occurred for multipleRead MoreExpansion of Western Europe1095 Words   |  5 PagesThe expansion of Western Europe started with the Iberian phase. Spain and Portugal, the two countries of the Iberian Peninsula, had a short-lived yet important role in European expansion. European expansion then turned to Western Europe. Western Europe consists of the Dutch, French, and British. While Western Europe was exploring new worlds overseas, the Russians were expanding westward across all of Eurasia. Religion played a major role in expansion for both the Portuguese and the Spanish due

New Years Changes in Henrik Isbens A Dolls House Essay

In Victorian England, women were expected to be undoubtedly obedient to their fathers, and later in life, servile to their husbands as well. They were normally forbidden to pursue a real education, and would often â€Å"devote themselves to their husbands happiness† (Roland 10). Throughout history, women have had to make sacrifices for other peoples feelings and lives. They have given up their own lives, freedoms, education, and careers due to their concern for others. A concurrent injustice occurs in Henrik Ibsens play, A Dolls House. The plays characters, motifs, and symbols support its theme; the sacrifices and decisions pushed onto women by society have hampered them from pursuing their own lives, but there is hope to overcome it.†¦show more content†¦When her husband was sick, the doctors suggested to Nora that they move south until he recovered, but not to tell Torvald that he could die if he did not. (182). At the time, they did not have the money for this, and Torvalds morals are against borrowing any money (176). Without telling Torvald that his life depended on this trip to the south, she borrowed money from Krogstad, even though it is illegal for a woman to borrow without her husbands permission (184). Krogstad required Nora to have her father sign a bond as promise that she will pay the money, but she did not have the heart to ask her father because he will ask what it is for (194-195). This is because her father was sick as well, and she could not bare it if she caused him to worry about another person when he is on his deathbed. Therefore, Nora forged the signature so she can save her husband and spare her father (195). This act greatly compromised her reputation and is a large sacrifice to make. Noras desire to please others started with her father. She accepted the opinions her father told her because she did not want to displease him. The relationship a child has with a doll is the same as the relationship with Nora a nd her father. She was simply his â€Å"doll child† (Ibsen 231). Nora makes many sacrifices for the sake of pleasing her husband, but this just helps her be â€Å"transferred from Papas hands† to Torvalds (Ibsen 231-232). He â€Å"arranged

Stock Prediction Using Multi Social Network Free Essays

string(108) " new perspective or approach to solving almost any of the once complex and non-trivial real world problems\." As the Internet of things unveils in the 21st century, almost everything seems to be connected and the world as a whole seems to be shrinking to a miniature chip with countlessly enormous new opportunities paralleled with an even more challenges related to privacy, and other Quality of service (QoS) challenges making it kind of mixed blessing. But in my current research I will focus on the blessing side of the opportunities inspired by the Internet of Things. The QoS challenges will be deferred to be part of my life-time research focus following my successful completion of my Doctoral Research. We will write a custom essay sample on Stock Prediction Using Multi Social Network or any similar topic only for you Order Now As a consequence of the global economic down turn that hit and crippled many companies around the globe, a couple of years ago, the need for an efficient and more accurate Stock market prediction system has become a hot global issue that calls for the contribution and involvement of many scholars to achieve a reliable stock market prediction system which is multi-disciplinary in nature. Thus having such a reliable prediction system can save or at least alert the global companies of possible dangers of committing in non-profitable investments. With the advent of online trading the application of algorithmic trading scripts to achieve a profitable instant sale or buy transaction has become a popular trading trend. But such instant or short time-interval trading algorithms are not suitable for big investors such us mining, manufacturing, agricultural, or any other companies that invest on a particular project whose profitability need to be predicted reliability and accurately. Such systems require a reliable and accurate prediction system that involves the prediction of a stock market corresponding to longer periods ranging from a day to a couple of years. Thus there arises a demand from such big investors for a reliable stock market prediction solution that accurately predicts what the future holds as regards to the rise or drop of the price of a particular stock market. A typical gold mining company, for instance, may require a reasonable prediction system that answers queries like: â€Å"Will the price for gold drop or rise tomorrow, a week later, a month later, or even a couple of years later?†. Thus predicting the price of a stock market at varying depths of the future is of paramount importance to company decision makers in general and to business decision makers in particular allowing them to foresee a preview or future snapshot of whether their investments will turn to be profitable or end-up in bankruptcy as severe as the one hit the world a couple of years ago and whose consequences have crippled many global companies and which has not yet been cured. Thus business decision makers can benefit a lot from stock market prediction systems so as to mitigate the risks of possible business loses and save their company from going bankruptcy. Thus the need for stock market prediction systems is a global concern that deserves more cross-disciplinary scientific researches. Now that I have clarified the need for such a reliable stock market movement prediction systems, I propose a novel approach for the design and development of a reliable stock market movement prediction system that utilizes Multiple Machine Learning algorithms powered by a set of publicly available user-generated data corpus streamed from multiple Social Networks such as Twitter, Facebook, or other information services like Google Trends. I propose to predict stock market movements relative to the more reliable Dow Jones Industrial Average (DJIA) market index with the help of a daily generated, rich supply of publicly available user- data streams from Social Networks. To achieve this novel approach of stock market movement prediction every user-data corpus streamed from social networks will pass through a chain of advanced preprocessing stages to reduce the data corpus to a set of minimal useful user-data relevant for stock market movement prediction. Thus during the preprocessing stage user data paraphrasing and summarization will be used to make sense of whether the user data have some information about a stock market. The Irrelevant user data will be filtered out and discarded saving storage and processing resource. As a result of this pre-processing we get a set of relevant user-data resulting in a minimal nominated user-dataset. The nominated user-data will then be subjected to a high level feature extraction process to achieve features that are inclusive, and which will result in higher-performance and higher prediction accuracy. The paraphrasing and summarization done against the original user-data corpus, during the first stage of pre-processing, will play a role in achieving higher-quality and higher-level feature set for the nominated user-data. Thus following a feature extraction the resulting feature values or vectors will be applied to machine learning algorithms such as SVM, Neural Networks, or Recursive Decision Trees which are trained to figure out or predict the future movement status of a stock market by computing the correlation value that exists between social Network user-data and Dow Jones Industrial Average Index. Introduction There are enormous ways the Internet of Things can be exploited to generate new knowledge or information which can be used by other users or systems for making informed and reliable decision making. Typical instances of such systems which can benefit from the Internet of Things are Investment companies. Such companies can make use of the huge user-generated data to predict their loss or profit related to a particular investment they make. Based on such prediction systems an investment company makes an informed management decision so that it wouldn’t eventually end up in bankruptcy. Machine Learning It is always my habit to go back to my childhood experience whenever I happen to come across a thread on Machine Learning either when discussing a topic with my students or when watching webcasts of the main players of this field of Machine Learning like Prof. Andrew Ng (of Stanford, now Baidu, and cofounder of Coursera) whose work has inspired me to have a new perspective or approach to solving almost any of the once complex and non-trivial real world problems. You read "Stock Prediction Using Multi Social Network" in category "Papers" But when I say this I don’t disregard that Machine Learning is not a one fits all solution but at least it goes well with solving problems that would otherwise have no chance of being solved and even if solved would have been inefficient and computationally intensive demanding huge processing power and working memory. Thus referring back to my childhood days I try to figure out how a machine can learn to understand its environment and interact with it. Thus as I said above the solution for many real world problems is embedded on the problems themselves. But solving these problems needs a new way of thinking and that’s searching for patterns of solutions within the problem itself. Therefore in this research I will make an intensive use of Machine Learning Algorithms to achieve a reliable stock market prediction rate. Thus I am going to use SVM, Neural-Net, and Recursive Decision Trees and then compare and contrast the prediction results achieved by each of them so as to use the most reliable ML-algorithm fit for such application domains Role of Social Media to stock market movement prediction Nowadays, with so many social media sites hosted and serving many virtual users according to their preferences has really created a Virtual Cyber community that outnumbers our real communities. Most of the people in the world have multiple accounts in different social media sites like Facebook, Twitter, LinkedIn, etc. This online presence or virtual community presence gives rise to a new opportunity for solving the stock market movement prediction problem. Because every social media user has virtual friends stranded all around the globe who communicate with each other regarding the price of a typical stock item, and their sentiments of that particular item. So globally there will be a lot of threads that focus on stock item prices and accompanying personal sentiments which can be used to forecast how the stock market movement for particular items will get affected the next day, the next month, the next year, or couple of years later. Motivation for carrying out this research I have three motivations that will keep me enthusiastic and energized throughout the successful completion Doctoral Research. Among these motivations are: It will act as a typical case study for understanding and applying the principles and practices of Intelligent Informatics and Distributed Computing. This will help me solve a myriad of none-trivial problems that will benefit the society which will play a great role in making the Internet of Things a real blessing to the current and the coming generations. I believe that the problem is solvable and deserves to be solved because I think that this solution will save and keep alert many global Investment companies from getting bankruptcy. Solving this problem would be a great contribution to the global body of knowledge especially for the field of Intelligent Informatics. The Multi-disciplinary nature of the research topic will expose me to an array of different fields of studies such as effective use of Machine Learning toolsets, Social media engineering, Programming, databases and networks, and last but not least Business report analysis. Finally this research will alleviate my passion of being a good researcher in the Field of Intelligent Informatics and will reflect and contribute my expertise to both academic and industrial sectors. Problem statement Stock market movement prediction involves the use of previously generated stock market movement history in DJIA market index or any other reliable market indices in addition to the exploitation of daily generated but publicly available big data corpus produced by multiple Social Networks such as Twitter, Facebook, and other suitablesocial networks. Social network user-generated contents can be mined or forked out for possible patterns of future stock market movements which affect the daily, weekly or even monthly market movement. The challenges associated with stock market movement prediction systems are overwhelmingly high but the solutions to such challenges are embedded on the challenges themselves. Therefore the connectedness of users to the Internet in general and to the social media in particular along with the soon to unveil,Internet of Things, the challenges will soon fadeout in magnitude. Thus the main challenges that I will address in my research are: Nominating potential user-data for prediction Optimal user-data feature selection Multi-lingual user-data handling to address user data in languages other than English Use of Multiple social networks to have a global sense of stock market movement Optimal configuration or setup of Machine Learning algorithms to achieve adequate modeling or learning of the social media user-data and the subsequent correlation process with the preferred market index in use. Using a realistic Market index that has been effective for many decades. Proposed system The novel approach for the design and development of a stock market movement prediction system will address the challenges facing the current stock market movement prediction systems using dedicated modules listed below: Multi-Social Network public data capture User-Content Nomination Semantic Analysis Feature Extraction Training Prediction Proposed System Overview diagram In this section I have outlined the general working principles of the proposed system block diagrams. There are two separate figures with Figure-1 depicting a high level context diagram showing the user-content sources originating from multiple social Networks such as Twitter, Facebook, Google Trends, etc. It also shows the prediction system generating a report of the stock movement prediction for any day in the future such as tomorrow, next week, next month, or even next year depending on the user’s requirements. For Example a Gold mining company CEO may need to know in advance whether to commit to a mining contract in a particular gold mining site that takes more than a year’s investment before the actual production and shipment to market begins. Thus the CEO needs options for predicting what will happen to the price of gold one year later by which his company starts producing and shipping Gold to Market. Thus the system should provide a range of options suiting the demands of different customers. Figure-2 depicts a little bit of detail in terms of the processes or modules involved to realize the goals of the system. Therefore there are six-core modules abstracting further implementation and design details. 3.2 Proposed System component wise Description In this section I provide an overview of how the proposed system is organized to achieve its goals of stock market movement prediction. Multi-Social Network public data capture This module is concerned with the capturing of user-content that will act as the basic raw material based on which the prediction system will predict the future stock movements. Therefore I propose to use Twitter, Facebook, Google Trends, and other user-content serving web-services as I see them fit for my purpose to realize the success of my research. Using Multiple Social Networks has the advantage of having global coverage of user-contents related to a particular stock item. This will enable the system to achieve an absolute global prediction instead of giving local prediction influenced by small number of virtual communities. For example if we happen to use Twitter user-contents only then we lose the large user base in Facebook, or any other social site that is common to a particular community. User-Content Nomination This module is concerned with the first hand data-corpus pre-processing. This Module will take care of the burden of filtering out user data that have no significance or relevance in relation to the stock market. The Task of pre-processing will be split in to two sub-modules each of which can performed their assigned specific tasks. a. Basic Garbage Data Filter: this sub module will filter out user-contents based on regular expressions patterns. Garbage data involves encrypted content, or any data generated from social media threads which have nothing to do about stock items. b. User-Content Language Normalizer: This sub module handles the task of detecting the language used to present the current user-content. If it is not an English content the sub-module would use Google Translate web service API to translate the content. Semantic Analysis This module needs to apply some degree of intelligence to make sense of the actual meaning of the user content so that it can represent the user-content in a simpler format by introducing the concept of user-content paraphrasing and summarization. Therefore this module processes a relatively bulky user-content and generates relatively compact user content without affecting the actual meaning of the original user-content. This module makes it easier for the subsequent modules of the stock market movement prediction system to process the content. a) Paraphrasing: the nominated user-content will be paraphrased or re-worded to build a standard set of phrases to represent user-content so that the bulky and yet worst unstructured user-content will be optimally minimized and restructured but of course without losing the original meaning of the user-content. Rewording has the advantage of minimizing occurrences of ambiguous words which threatens prediction systems. b) Summarization: this sub module requires more intelligence in order to makes sense of the meaning of the user content and then produce a digest or summary of the user-content so as to achieve more compact and more clear idea of what the user-content is saying about a particular stock market item. Feature Extraction The challenge in this module is the selection of the best or optimal feature of a user-content which will be used for modeling the user content. The better the feature sets selected for user-content, the better the Machine Learning algorithm will learn or model the user-content. Therefore this module will require more efforts in selecting high quality features that result in better modeling of user-content and less processing overhead to the Machine Learning algorithm in use. Therefore the Semantic analysis described above will help this Feature Extraction Module a lot in selecting a higher level feature sets instead of the cumbersome word-by-word count based feature extraction system used in existing stock market movement prediction systems. Training The Training Module is all about modeling the Feature vectors using machine learning algorithm. Thus, this module relays feature vectors corresponding to a user-content obtained from the Feature Extraction Module to a particular Machine Learning (ML) algorithm. The ML-Algorithm will process the feature vectors and updates its knowledge base to reflect the effect of the current feature vector to the already learned ones. Thus, once the ML-Algorithm is trained with a richer supply of user content feature vectors, the system will be ready to predict the stock market movement. Prediction This module is concerned with the actual prediction of the stock market movement with respect to a particular credible market index such as Don Jones Industrial Average (DJIA) market index. Therefore this module will use the now learned and hence expert ML-Algorithm trained above in the Training module to predict the stock market movement of tomorrow or any time in the future by correlating today’s user-content obtained from social media users with the near real-time Dow Jones Industrial Average. Conclusion Finally, stock market prediction is a hot research topic that requires an advanced knowledge and information engineering. The design and implementation of a reliable and accurate stock market prediction system is inspired by the large-scale connectedness of users to the Internet in general and to social media in particular. With the unfolding of the Internet of Things, more devices will be plugged into the Internet with more valuable data flooding into the Internet from almost any device or object. As a consequence of this user-data influx, more valuable marketing data will be available on the Internet inspiring the solution to many non-trivial real world problems based on the principles of Intelligent Informatics. Therefore the research topic will expose me to the latest technologies available in the booming field of intelligent informatics and I hope will contribute a lot to this booming field through a hard work that even extends beyond my Doctoral Research. Therefore this research topic is a little bit multi-disciplinary in nature that involves Intelligent Informatics, distributed computing some basic knowledge of market data analysis. How to cite Stock Prediction Using Multi Social Network, Papers

Stock Prediction Using Multi Social Network Free Essays

string(108) " new perspective or approach to solving almost any of the once complex and non-trivial real world problems\." As the Internet of things unveils in the 21st century, almost everything seems to be connected and the world as a whole seems to be shrinking to a miniature chip with countlessly enormous new opportunities paralleled with an even more challenges related to privacy, and other Quality of service (QoS) challenges making it kind of mixed blessing. But in my current research I will focus on the blessing side of the opportunities inspired by the Internet of Things. The QoS challenges will be deferred to be part of my life-time research focus following my successful completion of my Doctoral Research. We will write a custom essay sample on Stock Prediction Using Multi Social Network or any similar topic only for you Order Now As a consequence of the global economic down turn that hit and crippled many companies around the globe, a couple of years ago, the need for an efficient and more accurate Stock market prediction system has become a hot global issue that calls for the contribution and involvement of many scholars to achieve a reliable stock market prediction system which is multi-disciplinary in nature. Thus having such a reliable prediction system can save or at least alert the global companies of possible dangers of committing in non-profitable investments. With the advent of online trading the application of algorithmic trading scripts to achieve a profitable instant sale or buy transaction has become a popular trading trend. But such instant or short time-interval trading algorithms are not suitable for big investors such us mining, manufacturing, agricultural, or any other companies that invest on a particular project whose profitability need to be predicted reliability and accurately. Such systems require a reliable and accurate prediction system that involves the prediction of a stock market corresponding to longer periods ranging from a day to a couple of years. Thus there arises a demand from such big investors for a reliable stock market prediction solution that accurately predicts what the future holds as regards to the rise or drop of the price of a particular stock market. A typical gold mining company, for instance, may require a reasonable prediction system that answers queries like: â€Å"Will the price for gold drop or rise tomorrow, a week later, a month later, or even a couple of years later?†. Thus predicting the price of a stock market at varying depths of the future is of paramount importance to company decision makers in general and to business decision makers in particular allowing them to foresee a preview or future snapshot of whether their investments will turn to be profitable or end-up in bankruptcy as severe as the one hit the world a couple of years ago and whose consequences have crippled many global companies and which has not yet been cured. Thus business decision makers can benefit a lot from stock market prediction systems so as to mitigate the risks of possible business loses and save their company from going bankruptcy. Thus the need for stock market prediction systems is a global concern that deserves more cross-disciplinary scientific researches. Now that I have clarified the need for such a reliable stock market movement prediction systems, I propose a novel approach for the design and development of a reliable stock market movement prediction system that utilizes Multiple Machine Learning algorithms powered by a set of publicly available user-generated data corpus streamed from multiple Social Networks such as Twitter, Facebook, or other information services like Google Trends. I propose to predict stock market movements relative to the more reliable Dow Jones Industrial Average (DJIA) market index with the help of a daily generated, rich supply of publicly available user- data streams from Social Networks. To achieve this novel approach of stock market movement prediction every user-data corpus streamed from social networks will pass through a chain of advanced preprocessing stages to reduce the data corpus to a set of minimal useful user-data relevant for stock market movement prediction. Thus during the preprocessing stage user data paraphrasing and summarization will be used to make sense of whether the user data have some information about a stock market. The Irrelevant user data will be filtered out and discarded saving storage and processing resource. As a result of this pre-processing we get a set of relevant user-data resulting in a minimal nominated user-dataset. The nominated user-data will then be subjected to a high level feature extraction process to achieve features that are inclusive, and which will result in higher-performance and higher prediction accuracy. The paraphrasing and summarization done against the original user-data corpus, during the first stage of pre-processing, will play a role in achieving higher-quality and higher-level feature set for the nominated user-data. Thus following a feature extraction the resulting feature values or vectors will be applied to machine learning algorithms such as SVM, Neural Networks, or Recursive Decision Trees which are trained to figure out or predict the future movement status of a stock market by computing the correlation value that exists between social Network user-data and Dow Jones Industrial Average Index. Introduction There are enormous ways the Internet of Things can be exploited to generate new knowledge or information which can be used by other users or systems for making informed and reliable decision making. Typical instances of such systems which can benefit from the Internet of Things are Investment companies. Such companies can make use of the huge user-generated data to predict their loss or profit related to a particular investment they make. Based on such prediction systems an investment company makes an informed management decision so that it wouldn’t eventually end up in bankruptcy. Machine Learning It is always my habit to go back to my childhood experience whenever I happen to come across a thread on Machine Learning either when discussing a topic with my students or when watching webcasts of the main players of this field of Machine Learning like Prof. Andrew Ng (of Stanford, now Baidu, and cofounder of Coursera) whose work has inspired me to have a new perspective or approach to solving almost any of the once complex and non-trivial real world problems. You read "Stock Prediction Using Multi Social Network" in category "Papers" But when I say this I don’t disregard that Machine Learning is not a one fits all solution but at least it goes well with solving problems that would otherwise have no chance of being solved and even if solved would have been inefficient and computationally intensive demanding huge processing power and working memory. Thus referring back to my childhood days I try to figure out how a machine can learn to understand its environment and interact with it. Thus as I said above the solution for many real world problems is embedded on the problems themselves. But solving these problems needs a new way of thinking and that’s searching for patterns of solutions within the problem itself. Therefore in this research I will make an intensive use of Machine Learning Algorithms to achieve a reliable stock market prediction rate. Thus I am going to use SVM, Neural-Net, and Recursive Decision Trees and then compare and contrast the prediction results achieved by each of them so as to use the most reliable ML-algorithm fit for such application domains Role of Social Media to stock market movement prediction Nowadays, with so many social media sites hosted and serving many virtual users according to their preferences has really created a Virtual Cyber community that outnumbers our real communities. Most of the people in the world have multiple accounts in different social media sites like Facebook, Twitter, LinkedIn, etc. This online presence or virtual community presence gives rise to a new opportunity for solving the stock market movement prediction problem. Because every social media user has virtual friends stranded all around the globe who communicate with each other regarding the price of a typical stock item, and their sentiments of that particular item. So globally there will be a lot of threads that focus on stock item prices and accompanying personal sentiments which can be used to forecast how the stock market movement for particular items will get affected the next day, the next month, the next year, or couple of years later. Motivation for carrying out this research I have three motivations that will keep me enthusiastic and energized throughout the successful completion Doctoral Research. Among these motivations are: It will act as a typical case study for understanding and applying the principles and practices of Intelligent Informatics and Distributed Computing. This will help me solve a myriad of none-trivial problems that will benefit the society which will play a great role in making the Internet of Things a real blessing to the current and the coming generations. I believe that the problem is solvable and deserves to be solved because I think that this solution will save and keep alert many global Investment companies from getting bankruptcy. Solving this problem would be a great contribution to the global body of knowledge especially for the field of Intelligent Informatics. The Multi-disciplinary nature of the research topic will expose me to an array of different fields of studies such as effective use of Machine Learning toolsets, Social media engineering, Programming, databases and networks, and last but not least Business report analysis. Finally this research will alleviate my passion of being a good researcher in the Field of Intelligent Informatics and will reflect and contribute my expertise to both academic and industrial sectors. Problem statement Stock market movement prediction involves the use of previously generated stock market movement history in DJIA market index or any other reliable market indices in addition to the exploitation of daily generated but publicly available big data corpus produced by multiple Social Networks such as Twitter, Facebook, and other suitablesocial networks. Social network user-generated contents can be mined or forked out for possible patterns of future stock market movements which affect the daily, weekly or even monthly market movement. The challenges associated with stock market movement prediction systems are overwhelmingly high but the solutions to such challenges are embedded on the challenges themselves. Therefore the connectedness of users to the Internet in general and to the social media in particular along with the soon to unveil,Internet of Things, the challenges will soon fadeout in magnitude. Thus the main challenges that I will address in my research are: Nominating potential user-data for prediction Optimal user-data feature selection Multi-lingual user-data handling to address user data in languages other than English Use of Multiple social networks to have a global sense of stock market movement Optimal configuration or setup of Machine Learning algorithms to achieve adequate modeling or learning of the social media user-data and the subsequent correlation process with the preferred market index in use. Using a realistic Market index that has been effective for many decades. Proposed system The novel approach for the design and development of a stock market movement prediction system will address the challenges facing the current stock market movement prediction systems using dedicated modules listed below: Multi-Social Network public data capture User-Content Nomination Semantic Analysis Feature Extraction Training Prediction Proposed System Overview diagram In this section I have outlined the general working principles of the proposed system block diagrams. There are two separate figures with Figure-1 depicting a high level context diagram showing the user-content sources originating from multiple social Networks such as Twitter, Facebook, Google Trends, etc. It also shows the prediction system generating a report of the stock movement prediction for any day in the future such as tomorrow, next week, next month, or even next year depending on the user’s requirements. For Example a Gold mining company CEO may need to know in advance whether to commit to a mining contract in a particular gold mining site that takes more than a year’s investment before the actual production and shipment to market begins. Thus the CEO needs options for predicting what will happen to the price of gold one year later by which his company starts producing and shipping Gold to Market. Thus the system should provide a range of options suiting the demands of different customers. Figure-2 depicts a little bit of detail in terms of the processes or modules involved to realize the goals of the system. Therefore there are six-core modules abstracting further implementation and design details. 3.2 Proposed System component wise Description In this section I provide an overview of how the proposed system is organized to achieve its goals of stock market movement prediction. Multi-Social Network public data capture This module is concerned with the capturing of user-content that will act as the basic raw material based on which the prediction system will predict the future stock movements. Therefore I propose to use Twitter, Facebook, Google Trends, and other user-content serving web-services as I see them fit for my purpose to realize the success of my research. Using Multiple Social Networks has the advantage of having global coverage of user-contents related to a particular stock item. This will enable the system to achieve an absolute global prediction instead of giving local prediction influenced by small number of virtual communities. For example if we happen to use Twitter user-contents only then we lose the large user base in Facebook, or any other social site that is common to a particular community. User-Content Nomination This module is concerned with the first hand data-corpus pre-processing. This Module will take care of the burden of filtering out user data that have no significance or relevance in relation to the stock market. The Task of pre-processing will be split in to two sub-modules each of which can performed their assigned specific tasks. a. Basic Garbage Data Filter: this sub module will filter out user-contents based on regular expressions patterns. Garbage data involves encrypted content, or any data generated from social media threads which have nothing to do about stock items. b. User-Content Language Normalizer: This sub module handles the task of detecting the language used to present the current user-content. If it is not an English content the sub-module would use Google Translate web service API to translate the content. Semantic Analysis This module needs to apply some degree of intelligence to make sense of the actual meaning of the user content so that it can represent the user-content in a simpler format by introducing the concept of user-content paraphrasing and summarization. Therefore this module processes a relatively bulky user-content and generates relatively compact user content without affecting the actual meaning of the original user-content. This module makes it easier for the subsequent modules of the stock market movement prediction system to process the content. a) Paraphrasing: the nominated user-content will be paraphrased or re-worded to build a standard set of phrases to represent user-content so that the bulky and yet worst unstructured user-content will be optimally minimized and restructured but of course without losing the original meaning of the user-content. Rewording has the advantage of minimizing occurrences of ambiguous words which threatens prediction systems. b) Summarization: this sub module requires more intelligence in order to makes sense of the meaning of the user content and then produce a digest or summary of the user-content so as to achieve more compact and more clear idea of what the user-content is saying about a particular stock market item. Feature Extraction The challenge in this module is the selection of the best or optimal feature of a user-content which will be used for modeling the user content. The better the feature sets selected for user-content, the better the Machine Learning algorithm will learn or model the user-content. Therefore this module will require more efforts in selecting high quality features that result in better modeling of user-content and less processing overhead to the Machine Learning algorithm in use. Therefore the Semantic analysis described above will help this Feature Extraction Module a lot in selecting a higher level feature sets instead of the cumbersome word-by-word count based feature extraction system used in existing stock market movement prediction systems. Training The Training Module is all about modeling the Feature vectors using machine learning algorithm. Thus, this module relays feature vectors corresponding to a user-content obtained from the Feature Extraction Module to a particular Machine Learning (ML) algorithm. The ML-Algorithm will process the feature vectors and updates its knowledge base to reflect the effect of the current feature vector to the already learned ones. Thus, once the ML-Algorithm is trained with a richer supply of user content feature vectors, the system will be ready to predict the stock market movement. Prediction This module is concerned with the actual prediction of the stock market movement with respect to a particular credible market index such as Don Jones Industrial Average (DJIA) market index. Therefore this module will use the now learned and hence expert ML-Algorithm trained above in the Training module to predict the stock market movement of tomorrow or any time in the future by correlating today’s user-content obtained from social media users with the near real-time Dow Jones Industrial Average. Conclusion Finally, stock market prediction is a hot research topic that requires an advanced knowledge and information engineering. The design and implementation of a reliable and accurate stock market prediction system is inspired by the large-scale connectedness of users to the Internet in general and to social media in particular. With the unfolding of the Internet of Things, more devices will be plugged into the Internet with more valuable data flooding into the Internet from almost any device or object. As a consequence of this user-data influx, more valuable marketing data will be available on the Internet inspiring the solution to many non-trivial real world problems based on the principles of Intelligent Informatics. Therefore the research topic will expose me to the latest technologies available in the booming field of intelligent informatics and I hope will contribute a lot to this booming field through a hard work that even extends beyond my Doctoral Research. Therefore this research topic is a little bit multi-disciplinary in nature that involves Intelligent Informatics, distributed computing some basic knowledge of market data analysis. How to cite Stock Prediction Using Multi Social Network, Papers

Martin Luther King, Jr. was born at noon Tuesday, Essay Example For Students

Martin Luther King, Jr. was born at noon Tuesday, Essay January 15, 1929, at his home in Atlanta, Georgia. He was first named Michael Luther King Jr., and later changed his name to Martin, after his father. He was the first son and second child born to the reverend Martin Luther King, Sr., and Alberta Williams King, a schoolteacher. Growing up as an African American in Georgia, Martin experienced and suffered discrimination throughout his boyhood. This discrimination against black people was cruel and demoralizing. Martin Luther King Jr. told once of an experience he had riding a bus with his schoolteacher from Macon to Atlanta, the driver started cursing us out and calling us black sons of bitches. I decided not to move at all, but my teacher pointed out that we must obey the law. So we got up and stood in the aisle the whole 90 miles to Atlanta. It was a night Ill never forget. I dont think I have ever been so deeply angry in my life.There were many discriminatory laws in the South. They had certain restaurants that they were allowed to eat in, separate water-fountains, separate bathrooms. Just about everything you can think of was segregated. One of his first experiences was with the curtains that were used on the dining cars of trains to separate the whites from the blacks. This incident struck King pretty h ard, he said, I felt just it as if a curtain had come down across my whole life. The insult of it I will never forget.King was an extremely bright student and skipped right through his high school years and entered Atlantas Negro Morehouse College at age 15. His father encouraged him to study ministry, while he had his heart set on medicine or law. King was embarrassed of his own religion. He didnt understand what all the shouting and stamping was all about. But after reading and rereading Thoreaus essay, Civil Disobedience, he came to the conclusion that the only way he could bring about his ideas on social protest was through ministry. At Crozer Theological Seminary in Chester, Pennsylvania, King studied the writings and teachings of many philosophers, such as Hegel and Kant, but the person that impressed him the most was Mohandas Gandhi, and his beliefs in a nonviolent protest. On June 18, 1953, King marries Coretta Scott,.a young girl from Marion, Alabama. The marriage ceremony took place on the lawn of the Scotts home in Marion. The reverend King, Sr., performed the service, with only a few attending. The Kings will go on to have four children, Yolanda Denise King, Martin Luther King III, Dexter Scott King, and Bernice Albertine King.

Social Determinants of Health Inequalities †MyAssignmenthelp.com

Question: Discuss about the Social Determinants of Health Inequalities. Answer: Introduction: Every human being should do all the activities in their power to take care of their health as it determines the comfort of an individual. The determinants of health range from social, cultural and physical or environmental factors. The picture above. portrays a mother and her daughter in the kitchen with some shopping bags full of vegetables on the counter. The two seem happy from their expressions on their faces. The primary determinant of health portrayed in the image above is social contentment and healthy family relationships. We live in a social world made up of different kinds of people, and it is important to find healthy relationships that result in happiness. Happy relationships imply less stress, fewer complications, and therefore strong interactions. The family is the closest social setting that an individual has and it is considered to have a high impact on their lives. It is due to family activities that people end up happy or sad depending on the nature of their occurrence. Happiness differs for different people including financial satisfaction, strong family ties, the success of children in education or careers and many others (Patrick, 2006). Since family is a social association, then the members should stick together and help each other to ensure that everyone is satisfied. Research shows that most mental health cases are associated with people whose families have fractures and divisions at one point. The patients seem to be socially disconnected as they dont have a good relationship with their children or parents to give them an exposure of living collectively. People in happy and comfortable relationships are more likely to be physical, medically and mentally healthy as they have more issues that build them than to destroy their personalities. A familys primary purpose is to support each other and provide a favorable environment that ensures for the positive development of each member in the setting (Viner, 2012). An individuals social behavior with people at work, school any other place depends on their family ties. It is normal that we all have different traits in the way we interact with people because our upbringing can never be the same. People learn how to treat others from the way they see their families deal with each other. Social contentment is the greatest determinant of health as it affects the emotional growth of an individual. The nature of the social interaction of a person determines their perspectives of life. Happiness is simply the positive perception of all the situations facing us in our day to day life, and that is greatly influenced by the people we interact with and the nature of the relationships (WHO, 2017). Health stability is closely associated with happy social relationships whether at family, work, school or community level. We can reduce health complications primarily mental and emotional issues by maintaining positive relationships with each other at any sector and stage of life. Factors that improve health status People can enhance their wellbeing through some ways including healthy eating, exercising, exposure to the natural environment and social support. These factors help an individual to maintain a healthy life or health from previous diseases depending on their stages of damage. The social contentment of an individual, however, gives them a chance to get involved in the other activities known to improve their health. Healthy Eating: Diet is the central aspect of human living that determines their resistant to any disease. Food has been significantly associated with cases of obesity, high blood pressure and heart diseases in the most negative ways ever. It is therefore important for every individual to ensure that their daily meals are made up of all the nutrients (Amarasinghe, 2009). Balanced meals ensure that the body gets all the necessary benefits from the nutrients found in different types of foods. It is also important to reduce or get rid of too much sugar, processed and junk foods as they facilitate the development of diet-related diseases. Doctors encourage more intakes of fresh fruits and vegetables to give the body more of the natural nutrients and less of processed chemicals (Zsembik, 2005). However, this kind of lifestyle can only be achieved if an individual has a positive social life as the perspective and support is the greatest determinant. Exercising: It is important for every individual to be physically active as it gives the body a chance to fight bacteria and heal faster. Research portrays that people who spend most of their days seated and inactive are more prone to health issues like obesity and high blood pressure. Physical activity includes going for runs, gym, walking, swimming, bicycle riding and other activities (Leonard, 2008). Sick individuals can also benefit a lot from exercise since it can enable them to breathe properly and reduce the cases of heart problems. Exercise is as well supported by the extent of social contentment of an individual as it requires dedication and support. Exposure to natural environment: nature is in itself a healing factor considering the availability of fresh air, water and physical environment (UN, 2017). Sick individuals need the most natural environment to get a peace of mind which facilitates their healing in the fastest ways possible (Gazzinelli, 2012). It is proven that people in the countryside with less pollution from industries and vehicles are more likely to be healthy. It is therefore important to ensure that we get access to the fresh physical environment for the sake of our health. The social life of an individual determines their ability to deal with health situations when they face them. The impact of family, friends, and people around a person determines their health status or how they deal with their current situation at hand. Every patient should receive the support they require from the people around their environment to ensure that they can handle their status with confidence (Marmot, 2005). All the other factors of improving ones health are all possible if one is getting the most appropriate social support. References Amarasinghe, A. D. (2009). The influence of socioeconomic and environmental determinants on health and obesity: a West Virginia case study. . International Journal of Environmental Research and Public Health, . Gazzinelli, A. C.-O. (2012). A research agenda for helminth diseases of humans: social ecology, environmental determinants, and health systems. . PLoS neglected tropical diseases, , 6(4), e1603. Leonard, T. C. (2008). Richard H. Thaler, Cass R. Sunstein, Nudge: Improving decisions about health, wealth, and happiness. Constitutional Political Economy , 19(4), 356-360. Marmot, M. (2005). Social determinants of health inequalities. . The Lancet , 365(9464), 1099-1104. Patrick, D. L. (2006). Reducing oral health disparities: a focus on social and cultural determinants. BMC Oral Health , 6(1), S4. United Nations (2017) 70 Ways the UN makes a difference. Retrieved from https://www.un.org/un70/en/content/70ways Viner, R. M. (2012). Adolescence and the social determinants of health. The Lancet, , 379(9826), 1641-1652. World Health Organization (WHO) (2017). 10 Ways to improve the quality of care in health facilities. Retrieved from https://www.who.int/features/2017/quality-care-facilities/en/ Zsembik, B. A. (2005). Ethnic variation in health and the determinants of health among Latinos. Social science medicine , 61(1), 53-63.