Plagiarism and integrity Essay Example | Topics and Well Written Essays - 500 words

Plagiarism and integrity - Essay Example In short, the education that they are paying for and the years of their life that they are sacrificing are ultimately wasted if this is a habitual trait that will be exhibited again and again. Yet, there are many reasons for why low academic integrity are noted within various individuals. As such, the following analysis will briefly present some of these reasons and causes and help the reader to come to a more informed understanding for why academic integrity is so vitally important and what motivates individuals to cheat the system and to cheat their own education. One of the core reasons for why individuals display a low level of academic integrity has to do with the fact that they are simply lazy to learn the required material or perform the required task (East and Donnelly 3). Although it is true that laziness is not a vital or fundamental flaw, allowing it to dictate how one displays levels of honesty or academic integrity is most certainly a core flaw. Another reason for why low levels of academic integrity are exhibited has to do with an individual that might have a very low level of familiarity or comfort with a given subject. For instance, an international student that struggles with English as a second language may be tempted to plagiarize as a means of performing a very difficult task easily (Mahmud and Bretig 438). Last but not least, an individual may be tempted to exhibit a low level of academic integrity in the eventuality that they have put an assignment off to the very last minute; so much so that the only recourse for accompli shing it within the time period in question is to cheat and present someone else’s work as their own (Spain 154). In essence, there are many reasons for why students cheat; however, none of them are more noble than another and none of them can be excused. As such, it is necessary to ensure that all

EXPLANATIONS FOR THE ORIGINS OF AGRICULTURE Essay

EXPLANATIONS FOR THE ORIGINS OF AGRICULTURE - Essay Example The first argument suggests that the development of agriculture was driven by a scarcity of resources. The second argument differs radically, claiming that it was a surfeit of resources that encouraged domesticity. This paper will discuss and compare these two argument types and conclude that while no one model appears to have all the answers it is Hayden’s model that appears more convincing. There are obvious academic merits attached to finding a solution to the problem of formative agriculture. Indeed, since the time of Darwin scientists, social-scientists, historians even theologians have all tried to put forward a convincing model that explains why certain hunter-gatherers decided to change thousands of years of practise and begin agriculture (Richerson et al 387-390). There have been a series of interesting and intriguing theories during that time – ranging from population pressure driving domestication to the development of rituals and theology encouraging a sense of place (Hayden 31). Naturally, the stakes are high. A well developed universal model of domesticity would explain once and for all the most important transition in human history. However, such a complete model does not yet exist. Two of the more interesting theories have to do with climate change, put forward here by Peter Richerson et al, and â€Å"competitive feasting† as explained by Brian Hayden, who suggests that the surplus of food encouraged social adaptation that encouraged the continued development of further agriculture and domesticity. The climate change theory consists of two major ideas. Essentially, there were ‘push’ and ‘pull’ factors. The former, at least according to Richerson and his colleagues, consisted of a sense of competition between Holocene societies which in effect made the development of agriculture during this period all but â€Å"compulsory† (Richerson 387). The second factor is comparatively simple –

Adaptive User Interface Framework: Android Mobile Platform

Adaptive User Interface Framework: Android Mobile Platform Mr. Tulip Das Abstract—Adapting a graphical interface (GUI) to a range of resources with completely different capabilities is exciting topic of mobile computer. The user interface created for an application ought to modification its layout and parts to the user need and changes for every user. We propose a framework for mobile applications to form the user interfaces adaptable for user. This identifies an appropriate expertise level to a user by learning his/her history of interaction. Dynamic App Shortcut is to be provided on Mobile Devices serving to user to swipe the screen many times to search out the required app. The prediction model utilizes multiple options together with recency, frequency, duration, time distribution and app sequence launch. Keywords—HCI in Mobile; AI and expert systems; Adaptive user interface framework; k-means algorithm; dynamic shortcuts; mobile app usage; personalization.) I. Introduction An adaptive user interface (also known as AUI) is a user interface (UI) which adapts, that is changes, its layout and elements to the needs of the user or context and is similarly alterable by each user. These mutually reciprocal qualities of both adapting and being adaptable are, in a true AUI, also innate to elements that comprise the interfaces components; portions of the interface might adapt to and affect other portions of the interface. The user adaptation is often a negotiated process, as an adaptive user interfaces designers ignore where user interface components ought to go while affording a means by which both the designers and the user can determine their placement, often (though not always) in a semi-automated, if not fully automated manner. An AUI is primarily created based on the features of the system, and the knowledge levels of the users that will utilize it. Figure 1: Adaptive Graphical User Interface The advantages of an adaptive user interface are found within its ability to conform to a user’s needs. The properties of an AUI allow showing only relevant information based on the current user. This creates less confusion for less experienced users and provides ease of access throughout a system. Depending on the task, we can increase the stability of a system. An adaptive user interface can be implemented in various ways. These implementations can differ between the amount of information available to certain users, or how users utilize the application. Adaptive presentation: The goal behind adaptive presentation is to display certain information based on the current user. This may mean that users with only basic knowledge of a system will only be shown minimal information. Conversely, a user with advanced knowledge will have access to more detailed information and capabilities. A way that the AUI can achieve this differentiation could be to hide information to be presented based on the users experience level. Another possibility is to control the amount of links to relevant sources on the page. Adaptive navigation: Adaptive navigation intends to guide a user to their specific goal within the system by altering the way the system is navigated based on certain factors of the user. These factors can include the user’s expertise level with the system/subject, the current goal within the system, and other relevant factors. Examples of adaptive navigation can be achieved in many ways, similar to adaptive presentation. These can include examples such as providing links to help achieve a user’s specific goal, giving reference on a page to where a user is, or altering the resources available to the user. II. MOTIVATION In the last few years, an ecosystem of devices and heterogeneous services has emerged with a huge variety of capacities and characteristics. These new devices, along with applications and services, must be used to enhance the quality of life, making the users daily activities easier, as well as increasing their personal autonomy. User interfaces in mobile applications are complex since they need to provide sufficient features to variety of users in a restricted space where a small number of components are available. When user acquires expertise in the system they expect user interfaces which satisfy their unique needs. Therefore, user interfaces in mobile applications should be adapted to different users. Since this problem exists in various applications a general solution is required to make user interfaces adaptive using user context history. Figure 2: Different Mobile Devices In this sense, there is a clear need for creating interfaces that adapt themselves taking into account characteristics of the user, context, application and device. One of the aspects to consider when adapting interfaces is the set of preferences of the user. When using different applications or devices, each user has different preferences, mainly related to their limitations. III. Problem Statement Using mobile and its application is a personalized experience. Each user has different preferences, mainly related to their limitations. Hence it is quite essential to account characteristics of the user, context, application and device while designing a Graphical User Interface for mobile platform. It is quite difficult to manage when there are many applications (apps) installed on a mobile device, the simple task of launching an app could become inconvenient, as the user may need to swipe the screen several times to and the desired app. Hence an adaptive user interface solution for mobile devices, which uses dynamic shortcuts to facilitate app launching is needed. In this context, personalization of applications, i.e. applications that adapt themselves to users capacities and limitations is essential. IV. Problem Modeling A. Overview Rather than providing adaptive user interfaces for a specific mobile application, it is more valuable if it would be a common solution to make any UI adaptive. So it is encouraged to provide a framework which can give a common solution which can be used by all developers to create applications which provide adaptive user interfaces. This framework provides Adaptive User Interfaces based on users experience level. The experience levels are classified by Inference Engine which is explained in the subsection Inference Engine. The system will learn the user experience level based on user actions performed on each component of the application with the algorithm. Figure 2: Concept of Adaptive User Interface Figure 3: Module diagram for the system with Adaptive User Interface B. Components of Solution The proposed adaptive user interface is mainly focused on hiding group of unwanted components for corresponding experience level of user on that application. The framework consists of three main phases such as 1. Data preprocessing step 2. Learning step 3. Execution and rendering step Data preprocessing step 1. Location Data: One of the factors to adapt the UI is the location of the user. This is based on the premise that the type of applications a user is expected to access when at home is different from the type of applications accessed when the user is at work. The location is determined by means of the GPS sensor on the mobile device. 2. Device Data: Output of other sensors on the device including the ambient light sensor (to infer whether the user is indoors or outdoors), accelerometer and gyroscope (to say if the user is stationary or moving) can also be used to derive additional contextual information in order to better predict the users chosen application and modify the UI appropriately. 3. App usage Data: Logs of the past application usage, the frequency at which the particular app was accessed and the user actions and interactions while using the app can act as another source of contextual information. 4. Time Data: The type of applications accessed on weekdays might be different from the applications accessed on a weekend or on holidays. Similarly, in the morning the user may access different apps than the ones they do at night. A logging service running in the device would have to log the types of apps accessed at specific times of day or day or the week, and use it to make the appropriate UI modifications. C. Learning step The main purpose of inference engine is to collect the data provided by the data-preprocessing module and provide an experience level of the user according to the current user context. To infer the experience level of the user, the inference engine should behave as an intelligent system which should be trained by data related to user experience level and user interactions between the applications. Figure 4: A High level architecture of adaptive user interface framework Execution and rendering step K-means clustering engine is capable of setting the number of clusters needed. When the number of clusters is set, the engine can cluster the dataset when the squared error becomes minimized. This will give each clusters center points as output. Once the cluster centers are found these cluster centers will be delivered to user type selector. User type selector will appoint each experience level to each center sent by K-means clustering engine. Currently we have manually appointed the experience level for identified centers using natural knowledge. As mentioned earlier who masters the system can suggest these levels for each cluster values. Current user context data will be feed into the User type selector and user type selector will infer a suitable experience level which is closest. This final output will be delivered to the execution and rendering step. D. Implementation In order to practically show the behavior of the framework a proof of concept (POC) application will be developed. A simple application which can be used as an online ticket reservation system for aircrafts will be developed as the application. This application was developed in Hyper Text Markup Language (HTML) and JavaScript. Android platform has given enough features and Application Programming Interfaces (API) to create an Android application using HTML and JavaScript. Android web application can be created by converting a HTML page to an Android web application using WebView class. Currently there are many third party frameworks and plug-ins are available to convert HTML and JavaScript pages to Android application. This application will be connected to adaptive UI framework using a component called UIhooks. UIhooks are some methods which can be used by the developer during the application development. For example these methods can be used when some events are fired on UI components. When UIhooks are called they are developed in a way to measure the user actions performed on corresponding UI component and store them. For example when a UIhook method is called on a button on click event, the Uihooks is implemented to measure how many time the button was clicked and what is the recent time it was used. If UIhook method is called on a textbox on submit event the Uihook can inspect and store the value submitted and the count of submit action performed. This application is sent to a user study to collect training data. This is elaborated more in User study section. The collected data were organized and feed to inference engine as the training dataset. Inference engine learned the data as elaborated b efore and gave the suitable experience level. Once the experience level is feed to the rendering engine it finds the related rendering logics inside the UI clusters. For example if the experience level is provided as intermediate it checks for the corresponding rendering logics and UI clusters. If it is said as If user Type is intermediate render cluster2 it will build a new UI using what is mentioned in cluster2. Then it renders it to the user. When the user is provided with new adaptive UI a question will be provided to the user asking whether they are satisfied with the new UI or they want to go back to the earlier stage. This is to measure their satisfactory level and the accuracy of the algorithm predictions. V. Mathematical Modeling Let s (be a main set of) ≠¡ {SDB, LDB, C, A, S, MR, AO} where, SDB is the copy of the server database. This database is responsible for storing user information related to cloud interactions. LDB is a set of local database that a user owns. It consists of data tables having data items related to the products and their sales transactions. C is a set of all clients using the server database and mining services from the server. And (c1 , c2 , c3, cn) à Ã¢â‚¬Å¾ C. A is a set of algorithms applied on the input data to get mining results. S is the server component of the system. The server is responsible for registering, authenticating and providing associations to the end user. MR is a set of mining rules that are applied on the input dataset provided by the client from his LDB. And (mr1 , mr2 , mr3, mrn) à Ã¢â‚¬Å¾ MR AO is a set of associations that are extracted from the input and a form the output of the system. Functionalities : SDB = RegisterUser(uid, password, fullname, address, country, contact, email); password = SHA1(input_password); U = AuthenticateUser(uid, password, SDB); LDB1 = ManageProducts(pid, product name, cost); LDB2 = ManageBilling(transactions, items); LDB = LDB1 + LDB2 ED(Encoded data) = EncodeTransactions(LDB2, EncodingAlgorithm(EA)); UPLOAD(ED); AO = Apply Mining(ED); Results = Decode(Download(AO)) VI. Results Expected Figure 5: Dynamic Shortcuts Figure 6: Adaptive UI VII. Conclusion The aim of our study was to propose a high level architecture for a framework to provide adaptive user interface for mobile applications. This framework includes data preprocessing step, learning step and execution and rendering step to deliver a  suitable user interface. The learning is done by an intelligent system which is unsupervised and trained using user context data. This delivers k number of experience levels by clustering the collected data set using K-means and ANN algorithm. It will also allow dynamic shortcuts to facilitate app launching. Some other options to enhance the proposed dynamic shortcuts solution such as gesture based control will also be explored in the future. VIII. References Aztiria, A. ; Castillejo, E. ; Almeida, A. ; Lopez-de-Ipia, D.Adapting User Interfaces Based on User Preferences and Habits, Intelligent Environments (IE), 2014 International Conference on DOI: 10.1109/IE.2014.9 Publication Year: 2014 , Page(s): 9 – 15 Nivethika, M. ; Vithiya, I. ; Anntharshika, S. ; Deegalla, S.Personalized and adaptive user interface framework for mobile application, Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on DOI: 10.1109/ICACCI.2013.6637474, Publication Year: 2013 , Page(s): 1913- 1918 Jain, R. ; Bose, J. ; Arif, T. Contextual adaptive user interface for Android devices, India Conference (INDICON), 2013 Annual IEEE DOI: 10.1109/INDCON.2013.6726014 Publication Year: 2013 , Page(s): 1- 5 Ye Xu et al. Preference, Context and Communities: A Multi-faceted approach to Predicting Smartphone App Usage Patterns, In the 17th International Symposium on Wearable Computers (ISWC 2013). Zurich, Switzerland. Mejia-Figueroa, A. ; Juarez-Ramirez, R. Towards a User Model for the Design of Adaptive Interfaces for Autistic Users, Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International DOI: 10.1109/COMPSACW.2014.47 Publication Year: 2014 , Page(s): 264 – 269 Leichtenstern, K. ; Andre, E. User-Centred Development of Mobile Interfaces to a Pervasive Computing Environment, Advances in Computer-Human Interaction, 2008 First International Conference on DOI: 10.1109/ACHI.2008.10 Publication Year: 2008 , Page(s): 114 – 119 Chang Tan, Qi Liu, Enhong Chen, Hui Xiong. `Prediction for Mobile Application Usage Patterns. Nokia Mobile Data Challenge Workshop 2012. Matthias Bhmer, Antonio Krger. A Study on Icon Arrangement by Smartphone Users. In Proc. ACM SIGCHI Conference on Human Factors in Computing Systems. Paris 2013, France N. Andrew, Clustering with the K-Means Algorithm, video tutorialJ.S. Augusto, transcript writter, June 2012. T. D. Bie, T. T. Maia and A. P. Braga, Machine Learning with Labeled and Unlabeled Data, European Syumposium on Arti_cial Neural Networks- Advances in Computational Intelligence and Learning, Bruges, 2009. Y. Fukazawa, M. Hara, M. Onogi, H. Ueno, Automatic mobile menu customization based on user operation history, 11th International Conference on HCI with Mobile Devices and Services. J. Brooke, SUS: a quick and dirty usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, A. L. McClelland (Eds.), Usability Evaluation in Industry (S. 189 -194). London: Taylor and Francis,1996.

Act 2 Scenes 8-10 Essay -- Aboriginals Moore River Australia Essays

Act 2 Scenes 8-10 The scene starts at superintendent’s office at Moore river Native settlement, the date set 10 April 1933. It represents an institution of white power-a place of forced confinement and conformity. The importance of the construction of this place is to give a medium for the Aboriginals to resist such conformity, as demonstrated by Joe and Mary escaping from white control. It reinforces the theme of the play –‘the refusal of aboriginal people to submit to the ways of European invaders’ The 1930’s represented two major political turning points of Western Australia. Firstly, the loss of the James Mitchell’s seat as the premier of Northam to the labor government epitomises changing white attitudes by electing a fairer government system. In previous scenes, Mitchell’s desperate attempt to win the election by sending the Aboriginals to Moore River as an act of racial segregation reflects his inequality and exploitation of his political hegemony. The second political concern at this historical point was the success of the secession referendum vote. This secession of the 1930’s was led by the organisation Dominion League of Western Australia and in success of secession, Western Australia would break away from federation and the rule of the Commonwealth of Australia, therefore having dominion status similar to that of New Zealand. Despite the favoured votes for the secession referendum, by 1935 the proposition to Parliament was denied and WA still remained pa...

Perks of Being a Wallflower

â€Å"And all the books you’ve read have been read by other people. And all the songs you’ve loved have been heard by other people. And that girl that’s pretty to you is pretty to other people. And you know that if you looked at these facts when you were happy, you would feel great because you are describing â€Å"unity. † (p. 96). â€Å"The Perks of Being a Wallflower† written by Stephen Chbosky was published by MTV books and Pocket Books on February 1st, 1999. It’s classified as Young Adult, Contemporary Fiction and Epistolary novel. Epistolary novel is a novel written as a series of documents.Anne Frank is a type of Epistolary novel. Unlike Anne Frank, this one is written in form of letters, not a diary. In this novel you can see how â€Å"Charlie’s† life changes throughout his freshman year. How he deals with all the problems he faced, he faces, and he’ll face. In a unknown setting, the novel begins August 1991 with a teenage boy going by the alias â€Å"Charlie†, writing to an anonymous friend. â€Å"I just need to know that someone out there listens and understands and doesn't try to sleep with people even if they could have.I need to know that these people exist. † (p. 2). He heard someone at school talking about this anonymous friend, and he thought it would be someone nice to talk to. He specifically asks this friend to not try to find his true identity. Charlie has begun his freshman year while his brother is at Pennsylvania State University and his sister is at her senior year. We learn that his best friend, and only friend, committed suicide before he started writing these letters, leaving Charlie alone in high school.His favorite person in the world, his aunt, also died when he was 7 years old. He states repeatedly that something bad happened to her, but he doesn’t mention what, because it brings him to a bad place. After she died he doesn’t remember his lif e for a year, and he had been â€Å"different† ever since. As he starts freshman year, he is an outcast, until he meets Sam and Patrick. They introduce him to an electric, open-minded, hard-partying life, and soon Charlie starts enjoying his life. â€Å"And at that moment, I swear we were infinite. † (p. 39).Experiences that Charlie and his family and friends go through and the topics explored throughout the novel include suicide, difficult/abusive relationships, drug use/smoking, sex, abortion, child abuse/trauma, the struggles of homosexuality, and the awkward times of adolescence, such as first kisses and first girlfriends. Charlie is a troubled teenage boy. He is insecure and shy, because he just lost his best friend, and doesn’t know to deal with school alone. Since the death of his aunt, which he takes the blame, [â€Å"Despite everything my mom and doctor and dad have said to me about blame, I can't stop thinking what I know.And I know that my aunt Helen would still be alive today if she just bought me one present like everyone else. † (p. 92)], he has been different, sort of out of sync. He’s very sentimental, and he analyzes everything too much. Every tiny detail, is a big deal for him. He loves music and literature. His teacher gives him books to read and write bout, such as To Kill a Mocking Bird. His aunt molested him at the age of 7, but he never told anyone, because he loved so very much.

Health Law and Regulations Essay

Health care is high on the list of the most regulated entities. Regulated by the government, the health care sector is also regulated by different private bodies. The Joint Commission on Accreditation of Health Care Organizations (JCAHO) together with the National Committee on Quality Assurance (NCQA) and different medical specialties form part of the private health care regulatory entities that collaborate with the government. Health care regulation is focused on three main roles; cost control, quality control, and access expansion and control. These three functions are subdivided into objectives covering each aspect pertaining to the health care area. While the regulatory program exists to accomplish the three above-mentioned objectives, the implementation of each objective affects one another. Example, quality control causes a reduction of access, and increases the cost because of an increase in demand. Despite the interdependence of these objectives, health care regulation does not indulge competition amongst the regulatory bodies. Important in the regulatory industry are those who engage each other with the same goal towards improving the health care. A majority of the health care regulatory federal agencies in America are comprised within the Federal Department of Health and Human Services (DHHS). The American constitution directs all health care regulators to obey the set legal process as their activities contain the potential to limit or breach the rights of health care. Health care is a high level of bureaucracy and extensive legal procedures. Regulators are provided a notice for their proposed regulation with findings to support it, after which the sector under regulation is allowed to contest or appeal the proposal. The legal process is appealed in every health care procedure, whether if it’s to test a new drug, suspend a practitioner’s license, or a regulation on  environmental standards. The Affordable Care Act (ACA) is a health care regulation signed into law on the 23rd of March, 2010. The law’s main focus had been to increase the affordability and quality of American health insurance. Its policies were focused on lowering the rates imposed on the uninsured through the expansion of both the private and public insurance covers. It had also aimed to reduce the health care costs incurred by the government along with citizens. Barely seven days after its enforcement had a new health care law come into effect with amendments to the ACA. On March 30, 2010, the president of the United States signed into law the Healthcare and Education Reconciliation Act of 2010. The law had been enacted by the 111th US congress (Blackman, 2013). The ACA has advantages as disadvantages, and has been at the forefront of political criticism since its enactment. Its strongest opponents have cited it to be punitive of the high-end earners to cushion the middle and lower classes. It has also been reported to weigh heavily on the nation’s wage bill. In a nutshell, the ACA is designed to cover the majority of American’s health care insurance. However, the regulation’s cost factor has proven unsustainable without economically hurting the high earning entities. The effect of ACA’s implementation has caused an overall negative economic realignment as various entities strive to remain afloat; working hours have been significantly downsized by various corporations in anticipation of unsustainable insurance compliance. The ACA regulation is seen as an economically crippling element in America’s overall economic composite. The enormous tax burden shouldered by high earning entities is evidenced to trickle down to the middle and low income earners which resultantly deduces the benefits intended for these groups in an even more severe way. To begin with, although the ACA provides affordable or free health care insurance to tens of millions of American populations, funding is raised through taxes. With a hike in taxes for health care funding, earning populations are left with less to spend. The American middle and low income groups are even more affected by the adverse effects as inflation sets in to recover the growing deficit induced by the regulation’s implementation. The ACA had been endorsed as an affordability initiative but the repercussive costs have indicated the regulation as a costly affair across the board. Insurance players report certain clauses in the regulation as detrimental to the process. An example is the regulations directive for insurance to extend their coverage even to sick uninsured people at no extra cost. The resultant effect has been the rise in insurance premium costs which further complicates the insurer’s role in the initiative. Nearly all the beneficial aspects within the regulation are countered with contradictory challenges that undermine its purpose. While Medicaid is expanded by the regulation to cover an estimate 15.9 million citizens below 138% of the property level, the cost is met by state and federal funding which further imposes an immense measure of tax escalation. The regulation however features more benefits than limitations with regard to women initiatives. The ACA grants up to 47 million women access to health care services comprising wellness and preventative care. Additionally, the law prohibits women paying more than men for health care services as had been the case prior to enactment (Blackman, 2013). The ACA regulation started 157 new agencies, boards and programs to oversee the efficient implementation of the law alongside regulating health care spending. Although there are negative cost implications associated with the huge oversight entities provisioned in the regulation, proponents argue these costs to be necessary in controlling the unaccounted health care expenditure (Blackman, 2013). Employment in America is currently readjusting to comply with the regulation’s 2015 implementation phase requiring all employers to provide an insurance cover on their employees. The resultant effect to this change has been two faced; small business have been employing part time employees full time to comply with the 2015 mandate while large businesses have been reducing part time working hours to avoid paying the employees insurance when the phase is implemented. The ACA is illustrated as a complex employment factor with many jobs feared to be lost as many new ones are created. Notably, the regulation projects an  outcome where employees will freely leave their respective jobs without fear for losing retirement benefits affiliated to health care. Accordingly, the regulation aims to decrease employees working hours while maintaining and creating new employment opportunities. Despite the employment benefits highlighted within the ACA, many citizens remain skeptical of the upcoming 2015 employer-insurance phase. Dissenting political sentiments are pitching the impending reforms as a negative aspect of the ACA enactment set to diminish numerous job opportunities. Federal and private health care regulation remains as an important component in the broader sense of the health industry covering every single aspect entailed in human health. The quality, cost and access control objectives are characteristic to every health related industry. With regard to personal experience, I have on several occasions observed medical licenses revoked for certain practitioners following a legal process to dispute the quality displayed by the practitioners in context. The two mentioned above 2010 health care regulations contain a complex and mostly long term agenda aimed at bettering the quality of health care services in America. The current challenges are largely short-term and should not be invoked to undermine long-term benefits. A healthy debate is however essential to ensure minimized negations throughout the implementation process. References Top of Form Blackman, J. (2013). Unprecedented: The constitutional challenge to Obamacare. Bottom of Form