Sunday, January 26, 2020

Impact of the 17th Amendment

Impact of the 17th Amendment The Seventeenth Amendment, Senate Ideology, and the Growth of Government Danko Tarabar Abstract The 17th Amendment disturbed the existing electoral system in the United States by requiring direct elections for state Senators. Scholars have argued this made the Senate more populist and contributed to the growth of government in the US post-1913. We employ econometric tools to investigate whether the time series of mean ideology of Senate and its winning policies experienced a structural change around the time of the enactment. We find no compelling evidence of a structural break at that time but do find evidence for a change in the mid-to-late 1890s. Keywords: Seventeenth Amendment, structural break, Senate ideology JEL codes: D72, H19 Acknowledgments: The authors would like to thank Edward J. Lopez and participants at the 2012 Southern Economic Association meetings in New Orleans for helpful comments and suggestions. The Seventeenth Amendment, Senate Ideology,  and the Growth of Government 1. Introduction The 17th Amendment to the US Constitution established that Senators were to be directly elected by popular vote rather than appointed by state legislatures. The amendment ended a generation of state-by-state battles attempting to bring Senate elections under popular control. Although its 1913 passage is regarded by historians as enhancing democratic accountability, Zywicki (1994) argues that the amendment helped erode federalism and the separation of power. As Senator fidelity moved towards the electorate and away from protecting states’ interests, the Senate became as populist as the House, thus paving the way for government growth. In making this argument, Zywicki is attempting to contribute to one of the biggest questions in public economics: the dramatic increase in government in the United States during the 20th Century (Higgs, 1987; Husted and Kenny, 1997; Lott and Kenny, 1998; Holcombe, 1999). This paper empirically investigates whether the Senate experienced an ideology shift as the result of the change in political allegiance. If the interests of state legislatures and the median voters sufficiently differed, we expect to find evidence of a structural change in Senator and winning policy outcomes on roll calls at or near the time of adoption of the 17th Amendment. We examine this hypothesis by subjecting the time series of Senator and winning policy ideology to a battery of structural break tests. The evidence presented here suggest that a break most likely occurred during the 54th Congress (1895-1897), suggesting that the 17th Amendment merely codified what had already occurred through other means. 2. Data The most widely used measure of Congress ideology today are the NOMINATE scores, developed by Poole and Rosenthal in the 1980s (Poole and Rosenthal, 1997). The scores map House and Senate ideology outcomes onto a continuum, where negative scores denote liberal and positive denote conservative values (also analogous to greater or less government intervention in the economy). Zero implies centrist leanings, whereas score magnitudes reflect relative ideology strength. Each chamber since 1789 receives a mean score for legislators and winning policy outcomes, allowing for an overall assessment of ideology with respect to legislator behavior and the nature of enacted policies. We employ the DW-NOMINATE (dynamic, weighted) score subtype, estimated using normally distributed errors. The entire series contains 112 biennial observations, one for each Congress. The DW scores are comparable between Congresses, but comparisons only make sense within one of the three stable two-party periods in US history. We focus on the most recent such period, the Democratic-Republican (46th-112th Congress), since the formal adoption of the 17th Amendment occurred during the 63rd Congress (1913-1915). The operational database thus contains 67 observations ranging from 1879 to 2013 (Fig. 1). We exploit this dataset to search for structural changes in the series of mean Senator ideology and mean winning policy coordinates. 3. Methodology Structural change implies a sudden shift in any or all of the model parameters that control for the series mean and variance. In the current context, a structural break in either series would be indicative of mean â€Å"jumps† in chamber or winning policy ideology, whereas a break in variance implies a volatility shift not unlike, for instance, the Great Moderation. If the 17th Amendment instigated higher growth of federal government, one should observe a structural break in ideology in the 63rd Congress, presumably to the ideological left. While a visual inspection offers little in terms of inference, the diagnostics indicate that the mean chamber ideology is lower (-0.056 versus +0.01), and SD is approximately two times larger pre-Amendment. For mean winning outcomes, the average is higher pre-Amendment (0.037 versus -0.07), and the sample SD is exactly halved afterwards. We let both series evolve according to an AR(1) data generating process with drift and a deterministic linear trend: (1) where are serially uncorrelated errors and lag number is determined by Akaike and Schwarz Bayesian Info criteria. The structural change in series mean comes from breaks in drift, trend and autoregressiveparameters, while series’ volatility is largely dependent on error variance if is small. We estimate equation (1) using OLS. The econometrics of structural change underwent significant development in recent decades. The classic Chow (1960) test treats the breakdate as exogenous and a priori known. However, the current standard practice is to let the breakdate be an estimable endogenous parameter (Hansen, 2001). Quandt (1960) proposed taking the highest in the sequence of Chow F-statistics across all possible dates as the breakpoint, but the critical value asymptotic distribution for such a test was not available until Andrews (1993). Andrews’ now-conventional approach to testing for structural break rests on the â€Å"sup† methodology, in which the maximal significant F- (supF) or Wald-statistic (supW) across all observations is the most likely breakdate. Andrews and Ploberger (1994) further consider the averages and exponents of these test statistics. We use the supW-statistic, which has the advantage over supF in that it allows for residual heteroskedasticity. All statistically significant supW-statistics represent possible breakdates, but only that which minimizes the model sum of squared errors (SSE) is the most probable candidate (Hansen, 2001). In testing for and dating structural breaks in the series’ variances, the same methodology follows for equation (2): (2). Finally, the existence of breakpoints could erroneously lead to the conclusion that the series is nonstationary. We then use the Zivot-Andrews (ZA) (1992) test to distinguish between structural break and random walk disturbances. Conventional unit root tests tend to under-reject the null of nonstationarity in the presence of a break, while the ZA procedure allows for existence of one endogenously determined structural break in trend or intercept in testing unit root. Since neither series seem to be trending, we allow for an intercept break only, within 10% trimmed data. Some caveats are in order. First, the power of structural break tests is lower in smaller samples. Although a test statistic modification is possible, it is computationally costly (Antoshin et al., 2008). Second, the Quandt-Andrews procedure assumes regressor stationarity. As a solution for nonstationary regressors, Hansen (2000) proposes a â€Å"fixed regressor bootstrap.† Third, small sample size makes it impractical to search for multiple breaks simultaneously, even though an event such as women’s suffrage would make for a plausible structural break from public choice theory standpoint. Lastly, we recognize that structural break test results may be sensitive to model specification. 4. Results Table 1 summarizes our findings. In the case of mean Senate ideology, none of the supW-statistics, in any form (level, average and exponential), are significant at usual levels within 5, 10 and 15% trimmed data, so we find no evidence of a structural break. We also find no significant variance shifts. The ZA test rejects nonstationarity in favor of an intercept break in the 54th Congress (1895-1897). Although this date comes closest to the breakdate in the Quandt-Andrews procedure, it remains statistically insignificant. For the mean of winning policy ideology, the maximal significant supW-statistic also falls in the 54th Congress. Plotting the SSE from equation (1) over time, we observe the global minimum to fall in the 64th Congress (1915-1917). The ZA test allowing for an intercept break rejects nonstationarity at the 3% level, and also gives the breakdate as in the 54th Congress. Turning to variance shifts of mean winning ideology and repeating the same procedures on equation (2), we reject the null of no breakpoint at 4% level within 5, 10 and 15% trimmed data, with the maximal statistic during the 54th Congress. The SSE for variance breakdate (from equation (2)) exhibits multiple sharp drops indicative of a breakdate, with a global minimum in the 97th Congress (1981-1983). Overall, the evidence overwhelmingly suggests that the most probable breakpoint for mean and variance of winning policy ideology, as well as some evidence for chamber mean ideology, occurred between 1895 and 1897, in the 54th Congress. 5. Conclusion In his analysis of the political economy origins of the 17th Amendment, Zywicki (1994) notes that it was in the 1880s where dissatisfaction with the indirect system began to escalate. During this period, many states began to employ extra-constitutional means to move towards popular election of Senators (Riker, 1955). These approaches – public canvass and pledged state legislators –allowed for direct public participations in Senate elections. Our results provide some evidence that these approaches or other contemporary changes led to a change in ideology of the mean Senator, not the passage of the 17th Amendment. This finding suggests that while much the growth of in government occurred during the 20th century, the underlying ideological and institutional changes likely began in the Civil War and its aftermath (Higgs, 1997; Holcombe, 1999). References Andrews, D. W. K. (1993) Tests for parameter instability and structural change with unknown change point, Econometrica, 61, 821-856. Andrews, D. W. K. and Ploberger W. (1994) Optimal tests when the nuisance parameter is present only under the alternative, Econometrica, 62, 1383-414. Antoshin, S., Berg, A. and Souto, M. (2008) Testing for structural breaks in small samples, The International Monetary Fund, Working Paper Series No. 08/75 Chow, G. C. (1960) Tests of equality between sets of coefficients in two linear regressions, Econometrica, 28, 591-605. Hansen, B. E. (2000) Testing for structural change in conditional models, Journal of Econometrics, 97, 93-115. Hansen, B. E. (2001) The new econometrics of structural change: dating breaks in U.S. labor productivity, Journal of Economic Perspectives, 15, 117-128. Higgs, R. (1987) Crisis and Leviathan: Critical Episodes in the Growth of American Government, Oxford University Press, New York. Holcombe, R. (1999) Veterans Interests and the transition to government: 1870-1915, Public Choice, 99, 311-326. Husted, T. and Kenny, L. (1998) How dramatically did women’s suffrage change the size and scope of government? Journal of Political Economy, 107, 1163-98. Poole, K. and Rosenthal, H. (1997) Congress: A Political-Economic History of Roll Call Voting, 1st edn, Oxford University Press, New York. Quandt, R. (1960) Tests of the hypothesis that a linear regression obeys two separate regimes, Journal of the American Statistical Association, 55, 324-330. Riker, W. (1955) The Senate and American federalism, American Political Science Review, 49, 452-469. Zivot, E. and Andrews, D.W.K. (1992) Further evidence on the Great Crash, the oil price shock, and the unit-root hypothesis, Journal of Business and Economic Statistics, 10, 251-270. Zywicki, T. J. (1994) Senators and special interests: a public choice analysis of the Seventeenth Amendment, Oregon Law Review, 73, 1007-55. Fig 1. Mean Senate and winning policy ideology over time Source: http://voteview.com/pmeans.htm Notes: Vertical line denotes the 17th Amendment adoption 1 [† ] Corresponding author.

Saturday, January 18, 2020

Ap Psychology Intelligence

Intelligence In my high school your intelligence level is based on your ability to master material in difficult courses, which is quite different to people the same age in the Amazon rain forest. Their intelligence level is based on their knowledge of the medicinal properties of local plants. In both of these very different locations intelligence is the ability to learn from experience, solve problems, and use knowledge to adapt to new situations. General intelligence is also known as the g factor. To be labeled as intelligent would correlate with a high g factor.There are also the theories of multiple intelligences, which include Gardner's eight intelligences and Sternberg's three intelligences. Gardner's eight intelligences include abilities in linguistics, logical-mathematics, music, spatial awareness, body-kin esthetics, interpersonal relations, interpersonal relations, and nature. Gardner views intelligence as multiple abilities that come in different packages. For example, in t he cases of people with Savant Syndrome who often score low on intelligence testing, yet have one area of intense brilliance, such as the Rain Man.Sternberg's three intelligences include Analytical(academic problem-solving), Creative intelligence, and Practical intelligence. Analytical intelligence is assessed by intelligence testing, with question having only one correct answer. Creative intelligence is shown by how people react to new situations and create new ideas. Practical intelligence is needed for every day problem-solving, with problems having many possible answers. Creativity is the ability to produce ideas that are both novel and valuable. Exceptionally high scores on intelligence tests support the presence of high creativity.Sternberg identified five components of creativity, which include; Expertise(well developed knowledge base), Imaginative thinking skills, A venturesome personality, Intrinsic motivation, and a creative environment. To boost your creativity it is best to develop your expertise by finding something that you are passionate about and become an expert on it. Next, you need to allow time for incubation, which means, give your mind plenty of time and rest to make connections with the wealth of knowledge you have exposed yourself to. Then, you need to set aside time to let your mind roam freely.That means television, computers, and video games are off the table. Instead, go for a walk, jog, or meditate. Lastly and most importantly, experience other cultures and ways of thinking. Travel to many different countries and soak up the culture through common activities and quality time spent with native peoples. Emotional intelligence has four main components, which include, perceiving emotions(to recognize them in faces, music, and stories), understanding emotions(to predict them and how they change and blend), managing emotions(to know how to express them in varied situations), and using emotions to enable adaptive or creative thinking.Thos e who are emotionally intelligent are often more successful in careers, marriage, and parenting situations, as compared to academically smart people. It is believed that there is a strong correlation between brain size and intelligence. For example, Lord Byron's brain was approximately two pounds heavier than the normal three pound brain. In another case Albert Einstein's brain was studied and was found to be 15% larger in the parietal lobe's lower region, which is the area for mathematical and spatial processing. How fitting!Another strong correlation lies between neural processing speed and intelligence. This correlation is the result of one of two possibilities. Perhaps people who process more quickly accumulate more information, or processing speed and intelligence share an underlying genetic influence. How is intelligence determined, and then given a numerical value? Tests are made by psychologists, but what makes the tests themselves credible? The whole idea of testing intelli gence came about around the same time that France made it mandatory for children to attend school.To know what children needed special schooling, a test to determine mental age was created by Binet. Mental age is the chronological age that most typically corresponds to a given level of performance, typically associated with a certain chronological age. For example, an average seven year old would have a mental age of seven, but if a seven year old is above average he/she may have a mental age of eight or above. The test created to determine mental age is referred to today as the Stanford-Binet, it is the American revision of the original intelligence test.Using the mental age a person's intelligence quotient(I. Q. ) can be determined. I. Q. Is the ratio of mental age to chronological age all multiplied by 100. There are two main types of modern tests to test mental abilities, and they are achievement tests and aptitude tests. Achievement tests are designed to assess what a person ha s learned. Examples of achievement tests include course exams, intelligence tests, and driver's license exams. Aptitude tests are designed to predict a person's future performance; aptitude is the capacity to learn.Examples of aptitude tests are the S. A. T. and the A. C. T. What are the principles of intelligence test construction? To understand this we first need to understand standardization and the normal curve. Standardization is defining meaningful scores by comparison with the performance of a pretested group. The normal curve is the symmetrical bell-shaped curve that describes the distribution of many physical and psychological attributes. Most scores fall near the average, and fewer and fewer scores lie near the extremes. Next, we need to understand reliability and validity.It is very important to have reliability in standardized testing. Reliability is the extent to which a test gives consistent results, as assessed by the consistency of scores on two halves of the test, o r on retesting. High reliability does not promise a test's validity. Validity is the extent to which a test measures or predicts what it is supposed to. What are dynamics of human intelligence? They are about the stability over the life span of a person, and about the extremes of intelligence. As you age your intelligence can either increase or decrease, as it is all in your power.Intelligence in correlation with aging comes in three stages: Phase I: Cross-Sectional Evidence for intellectual decline, Phase II: Longitudinal Evidence for Intellectual Stability, and Phase III: It all Depends. Phase I concludes that the decline of mental ability with age is part of the general aging process of the organism as a whole. Phase II concluded that until late in life, intelligence remained stable, sometimes even increasing. For example, John Rock developed the birth control pill at age 70, and Frank Lloyd Wright designed N. Y. C. ‘s Guggenheim Museum at age 89!Phase III concluded a perso n's crystallized intelligence increases until you die, but a person's fluid intelligence decreases beginning shortly after the twenties and very rapidly after age 85. The correlation between intelligence and age all comes down to phase III†¦ it really does all depend! In conclusion, there are many factors when determining the levels of intelligence of human beings. Some of them are creativity, emotional intelligence, testing methods, age, and many more. Whether you are an American high school student, or a teenager in the Amazon rainforest determining intelligence is very much the same.

Friday, January 10, 2020

Immunology

Introduction to IMMUNOLOGY COURSE †¢ Subject Agenda* Theoretical part (Lecture): 14. 01—-18. 03—-22. 04. 2013 Practical part (Labwork) †¢ Study Materials: Textbook (David Male and Ivan Roitt-2006-DIR; Abul Abbas-2007AA), Clips and Internet search †¢ [email  protected] com. Pass: btiu12345 †¢ Evaluation – Midterm Exam, Final Exam, Labwork – Assignment (Home-work, Topic-oriented-In-class discussion, Readand-Present Practice) Contact me at: R501, IU Building; or via email: [email  protected] edu. vn NTTH-HCMIU-IMMUN-2013 Introduction to IMMUNOLOGY- An X soup What is Immunology? What is Immune System (IS)? †¢ History of Immunology †¢ Cells and Soluble Mediators of IS= ? †¢ Immune Response- Pathogens (Ags): Innate and Adaptive Immunity- Collaboration NTTH-HCMIU-IMMUN-2013 Introduction to IMMUNOLOGY What is Immunology? What is Immune System (IS)? Immunology is the study of our protection from foreign macromolecules or invad ing organisms and our responses to them. Foreign macromolecule/ Antigen –— Immunogen: e. g. virus protein, worm, parasite Everything that should not be in my bodyImmune System: Molecules, cells, tissues and organs which provide nonspecific and specific protection against Microorganisms; Microbial toxins and Tumor cells Crucial to human survival NTTH-HCMIU-IMMUN-2013 History of Immunology †¢ Experiential Immunology period †¢ Experimental Immunology period †¢ Modern Immunology period Immunology act as an independent subject (1970s) NTTH-HCMIU-IMMUN-2013 I. Experiential Immunology period (the 17th century- the middle of 19th century) In ancient times, many serious infection diseases, such as smallpox, plague and cholera etc, caused innumerable people dead.Plague !!! — Black Death Disease NTTH-HCMIU-IMMUN-2013 Story of Plague port of Weymouth. The Black Death was one of the most devastating pandemics in human history, peaking in Europe between 1348 an d 1350, and killing between 75 million and 200 million people Wikipedia Yersinia pestis NTTH-HCMIU-IMMUN-2013 Figure 1. Photomicrographs demonstrating the high bacterial burden of Y pestis in various organs. Top left, A: Tissue Gram stain of a lymph node reveals the profusion of neutrophils and large clumps of Gram-negative coccobacilli characteristic of Y pestis (Brown-Hopps, original ? 00). Large clusters of bacteria (arrows) are found in the alveolar spaces (top right, B), adrenals (bottom left, C), and kidneys (bottom right, D) [hematoxylin-eosin, original ? 400]. Chmura et al. 2003, CHEST, Painful Lymphadenopathy and Fulminant Sepsis in a Previously Healthy 16-Year-Old Girl NTTH-HCMIU-IMMUN-2013 ~ 430 B. C: Peloponesian War, Thucydides describes plague – the ones who had recovered from the disease could nurse the sick without getting the disease a second time NTTH-HCMIU-IMMUN-2013 In 1670, Chinese medical practitioners : variolationEdward Jennar —-An English physi cian He discovered that cowpox vaccination protected against smallpox in 1796 NTTH-HCMIU-IMMUN-2013 Vaccine- Vaccination Vaccine: A preparation of microbial antigen, often combined with adjuvants,that is administered to individuals to induce protective immunity against microbial infections. Vaccination: A general term for immunization against infectious diseases,orginally derived from immunization against smallpox which uses the Vaccinia virus. NTTH-HCMIU-IMMUN-2013 NTTH-HCMIU-IMMUN-2013 Why do they not want to play with my kids? NTTH-HCMIU-IMMUN-2013 II.Experimental Immunology period (the middle of 19th century-the middle of 20th century) 1. Active immunity In the middle of 19th century R. Koch —-Isolated and cultured bacteria successfully Pasteur —-Infectious diseases were caused by pathogens In 1880, Pasteur —-Anti-cholera live-attenuated vaccine (old culture of Chicken V. cholera) —-Artificial active immunity Robert Koch Active immunity: The form of a daptive immunity that is induced by exposure to a foreign antigen and in which the immunized individual plays an active role in responding to the antigen. Louis Pasteur(1822-1895) NTTH-HCMIU-IMMUN-2013 . Passive immunity In the late eighties of 19th century Roux and Yersin: Diphtheria was caused by exotoxin produced by C. diphtheriae The discovery of diphtheriae antitoxin and bactericindins Antitoxin—-Antibody (Ab); Exotoxin—-Antigen (Ag) Study on reaction of Ag and Ab in vitro —-Serology In 1890,Von Behring and Kitasato —-diphtheriae antitoxin was applied in treatment of Diphtheria —- Artificial passive immunity Passive immunity: The form of immunity to an antigen that is established in one individual by transfer of antibody or lymphocytes from another individual who is immune to that antigen.NTTH-HCMIU-IMMUN-2013 3. Mechanism of protective immunity Cell mediated immunity(CMI) —–1883-1884, Metchnikoff: Microorganisms were engulfed an d destroyed by phagocytic cells Humoral immunity(HI) —-1897,Ehrlich: Ab in serum played important roles in protective immunity Both HI and CMI were very important for protective immunity, Ab in serum could promote the phagocytosis of phagocytic cells —- 1903, Wright & Douglas 4. Study on immune-pathology & immune disease In 1902, Richet and Portier—-Anaphylaxis Pirquet and Shick—-Hypersensitivity In 1903,Arthus—-Arthus phenomenon In 1906, Pirquet —- Allergy In 1907, Donath and Landsteiner —-Autoantibody cause autoimmune disease NTTH-HCMIU-IMMUN-2013 5. Study on antigen In the early of 20th century, Landsteiner studied on antigenic determinant (epitope) —-ABO blood type 6. Study on immunochemistry In 1938,Tiselius and Kabat —-Ab is ? globulin In the fifties of 20th century, Porter and Edelmen, —-Molecular structure of Ab: 4 peptides 7. Study on immune tolerance: No positive response to specific Ag In 1945, Oven fou nd natural immune tolerance In 1953, Medawar set up animal model of acquired immune tolerance in newborn period. . Hypothesis for Ab formation Templates postulate (1930,Breinl and Haurowitz) Variable folding postulate (1940,Pauling) Natural selection postulate (1955,Jerne) Clonal selection theory (1959, Burnet):- Clone: a group cells that stem from identical cell NTTH-HCMIU-IMMUN-2013 III. Modern Immunology period (the middle of 20th century-the 21th century) 1. Study on immune system In 1957, Glick Fabricius found out that Chicken without bursa can not produce Ab —-B cell In 1961,Good and Miller —- Cell mediated immune of new born mice whose thymus were taken away are defective —-T cell 2.Study on monoclonal antibody —-In 1975, Kohler and Milstein 3. Study on immune genetics —-In 1978, genetic control of antibody diversity —-Discovery of accurate mechanism of immune response on gene level (MHC, TCR , BCR) 4. Study on molecular mechanism of T/B lymphocyte activation and signal transduction 5. Study on effective mechanism of immune cells NTTH-HCMIU-IMMUN-2013 6. Study on clinical immunology Organ transplantation; Autoimmune disease; Tumor immunology; Infectious diseases 7.Study on applied immunology Preparation of monoclonal antibody and genetic engineering antibody; Preparation of recombinant cytokines; Study on DNA vaccine; Study on treatment with immune cells 8. New techniques of modern immunology and application Separation of immune cells; Protein analysis technique; Phage display technique; Preparation of new animal model NTTH-HCMIU-IMMUN-2013 NTTH-HCMIU-IMMUN-2013 NTTH-HCMIU-IMMUN-2013 The immune system Immune system Innate (non-specific) immunity Adaptive (specific) immunity Anatomic barriers (Skin,mucous membranes) †¢Physological barriers (temperature, pH) †¢Phagocytic Barriers (cells that eat invaders) †¢Inflammatory barriers (redness, swelling, heat and pain) †¢Antigen specificity †¢Di versity †¢Immunological memory †¢Self/nonself recognition NTTH-HCMIU-IMMUN-2013 Our immune systems generate an almost infinite variety of cells and substances Foreign Recognition Memory Upon 2 ° exposure produces enhanced response Effector Response To eliminate or neutralize particle *In some cases, the IR fails to function; at other times, the IR can turn on its hostNTTH-HCMIU-IMMUN-2013 Humoral and cellular immunity (antibody mediated or cellular) NTTH-HCMIU-IMMUN-2013 B cells Surface bound antibody Antibody secreting B cell Antigen B-cell Soluble antibodies, circculate in the body NTTH-HCMIU-IMMUN-2013 Antibody secreting B cell B-cell Virus killed NTTH-HCMIU-IMMUN-2013 Discussion Topics 1. Why do warm-blooded, long-lived animals require particularly complex immune defense? – p4-DIR 2. Why would removal of Ag lead to the decline in an immune response? – p14-DIR And many more to explore in the DIR textbookHome works P18-DIR NTTH-HCMIU-IMMUN-2013 The real o nes Crawling Macrophage Neutrophil and DCs NTTH-HCMIU-IMMUN-2013 Introduction to IMMUNOLOGY- An X soup †¢ What is Immunology? What is Immune System (IS)? †¢ History of Immunology †¢ Cells and Soluble Mediators of IS= ? †¢ Immune Respone- Pathogens (Ags): Innate and Adaptive Immunity- Collaboration Read DIR-page 1-18 NTTH-HCMIU-IMMUN-2013 Once upon a time†¦ There was a WARGAMES OF THRONES- MATTER OF â€Å"LIVE OR DIE† HAS IT ALREADY ENDED? NO, IT IS JUST A BEGINNING†¦ NTTH-HCMIU-IMMUN-2013