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This section provides a number of examples to illustrate approaches to the identi cation of unknown organic materials by using infrared spectroscopy. First, an example of the use of the technique in identifying an organic compound containing a number of functional groups is provided. Citronellal is the terpenoid responsible for the characteristic aroma of lemon oil, and is used in perfumes and as a mosquito repellent. The infrared spectrum of citronellal is shown in Figure 4.11. At the higher-wavenumber end of the spectrum, the C H stretching region provides important information about the citronellal structure. This region is intense, hence indicating the presence of a number of C H groups in the structure. Distinct C H stretching modes at 2800 and 2700 cm 1 appear at wavenumbers characteristic of aldehydes. In addition, a strong band at 1730 cm 1 con rms the presence of an aldehyde group. The other C H stretching modes appear in the 3000 2900 cm 1 range and can be attributed to aliphatic C H stretching. The lack of bands at wavenumbers greater than 3000 cm 1 suggests that there is no aromatic group in the citronellal structure. The structure of citronellal is illustrated in Figure 4.12.

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Identifying Referred Pain from the Neck Referred pain from the neck is relatively prevalent among TMD patients. Palpating the neck muscles just below the occipital protuberance most commonly generates referred pain to the forehead, periorbital, vertex, temple, occipital, postauricular, and ear.

day-to-day tasks. In addition, the entries for the tasks should be retained even after the page is refreshed so that the details are not lost. Let s understand the approach and methodology adopted to add such functionality to the application.

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A unique attempt to conduct a polygraph study in a realistic setting and maintaining certainty about the ground truth was made by Ginton, Daie, Elaad, and Ben-Shakhar (1982) The participants in this study were 21 Israeli policemen who took a paper-and-pencil test that was presented as a requirement for a police course in which they were enrolled They were asked to score their own tests, which provided an opportunity to cheat by revising their initial answers However, the test answer sheets were chemically treated so that cheating could be detected It turned out that seven out of the 21 participants cheated Later, all were told that they were suspected of cheating They were offered a polygraph examination, and were told that their future careers in the police force might depend on the outcome of this examination.

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The Covariance and Cofactor Matrices. If the observations b had no errors and if the model were perfect, then the estimates x given by the above expression would be perfect. Any errors v in the original observations b will obviously map into errors vx in the estimates x. It is also clear that this mapping will take exactly the same linear form as the above formula: vx = (ATA) 1ATv If we have (a priori) an expected value for the error in the data, s, then we can compute the expected error in the parameters. We discuss the interpretation of the covariance matrix later, but for now, we de ne it as the (square) matrix of expected values of one error multiplied by another error; that is, Cij E(vivj). A diagonal element Cii is called a variance , and is often written as the square of the standard deviation, Cii E(vi2) = s 2. We can concisely de ne the covariance i matrix by the following matrix equation: C E(vvT) Let us for now assume we can characterize the error in the observations by one number, the variance s 2 = E( 2), which is assumed to apply to all m observations. Let us also assume that all observations are uncorrelated, E(vivj) = 0 (for i j). We can therefore write the covariance matrix of observations as the diagonal matrix, C = s 2I, where I is the m m identity matrix:

(The option to allow the police of cers to refuse to take the test was realistic As mentioned before, in criminal investigations taking a polygraph test is an option and not a requirement for a suspect) Although initially all 21 policemen agreed to undergo a polygraph examination, one guilty of cer did not turn up for the actual examination, and two (one guilty and one innocent) refused to take the polygraph test Three other guilty participants confessed just before the polygraph interrogation,18 so the nal sample included only two guilty and 13 innocent participants The CQT was used, and the outcomes were rather accurate Both guilty of cers were accurately detected, but two of the 13 innocent of cers were mistakenly judged to be lying Although the ndings appear to give impressive support for the CQT, in fact they do not.

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