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TUBERCULOSIS

  1. Go to any searcher such as: Google, yahoo, msn, CDC.org, NIH.org, ASA electronic library and type the name of the disease: tuberculosis, or liver, kidney function tests.
  2. From the results, select sites containing the .edu, CDC, NIH. or hospitals such as Mayo clinic as they contain updated information about the topic.
  3. If you chose a website such as http://www.cdc.gov/tb/ you’ll find information about testing and diagnosis, infection control and prevention, laboratory information, etc. Use that content to write two pages of the paper containing information about what it is, what causes the disease, what is the epidemiology (individual characteristics), symptoms, prevention, and treatment.
  4. Most of the paper has to be based on the characteristics of the microorganism: shape, stains, genetic material, growth (cultures and culture media), transmission to a susceptible host, oxygen and food requirements, immunity, prevention, and vaccines etc.
  5. From the testing and diagnosis look for the name of the test(s) that are used to make the diagnosis: The Mantoux tuberculin skin test (TST), QuantiFERON®-TB Gold Test, CBC, Acid-Fast Stain,etc.
  6. Information about the test(s) should include source of the specimen: blood, urine, sputum, etc, patient preparation: fasting, timed collections etc, vacuum tubes (if needed), normal values, and conditions associated to abnormal values.
  7. You must open an account with turnitin.com as a student, the class enrollment and password will be provided when you select your topic.
  8. An electronic copy must be submitted ONE week BEFORE the finals.

Sample Solution

ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor[15]. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl
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