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Corrosion of α‐phase brass by sebaceous sweat fingerprint deposits produced identifiable impressions in a majority of samples (n = 40) 4 days after deposition. Combining sebaceous with eccrine sweat yielded a greater percentage of identifiable fingerprint deposits, although this increase was not statistically significant. Production of identifiable fingerprints from eccrine sweat deposits was dependent on the sampling time of year with deposits taken during summer months giving similar percentages of identifiable fingerprints to sebaceous deposits. A statistically significant positive correlation was found between elapsed days after deposition and identifiable eccrine (ρ = 0.787, p < 0.05), sebaceous (ρ = 0.724, p < 0.05), and eccrine/sebaceous mixture (ρ = 0.908, p < 0.01) fingerprints deposited during summer months. The summer increase in the percentage of identifiable eccrine sweat deposits was statistically significant compared to winter eccrine deposits (p < 0.0001). Observations were consistent with results obtained from artificial sebaceous and eccrine sweat.  相似文献   
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This study verified the difference between two methods of forensic facial approximation (FFA) regarding recognition and resemblance rates. Three‐dimensional models of skulls were obtained from computerized tomography (CT) scans of two subjects (targets). Two manual FFAs were performed for each target, by applying two different guidelines for the facial structures (what we called “American method” (AM) and “Combined method” (CM)). Unfamiliar assessors evaluated the sculptures by recognition and resemblance tests. The AM was that which allowed more correct responses of recognition and higher resemblance's scores for the male target (p < 0.001). Regarding guidelines for modeling characteristics of the face, the ones that are practical and easily performed for sculptures, such as the length of the anterior nasal spine multiplied by 3 for nose prediction, may offer better results in terms of resemblance.  相似文献   
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Domar AD 《Newsweek》2004,144(13):72, 74
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Alan S. Gerber and Donald P. Green Yale University, Institution for Social and Policy Studies, P.O. Box 208209, 77 Prospect Street, New Haven, CT 06520 e-mail: kevin.arceneaux{at}temple.edu (corresponding author) e-mail: alan.gerber{at}yale.edu e-mail: donald.green{at}yale.edu In the social sciences, randomized experimentation is the optimalresearch design for establishing causation. However, for a numberof practical reasons, researchers are sometimes unable to conductexperiments and must rely on observational data. In an effortto develop estimators that can approximate experimental resultsusing observational data, scholars have given increasing attentionto matching. In this article, we test the performance of matchingby gauging the success with which matching approximates experimentalresults. The voter mobilization experiment presented here comprisesa large number of observations (60,000 randomly assigned tothe treatment group and nearly two million assigned to the controlgroup) and a rich set of covariates. This study is analyzedin two ways. The first method, instrumental variables estimation,takes advantage of random assignment in order to produce consistentestimates. The second method, matching estimation, ignores randomassignment and analyzes the data as though they were nonexperimental.Matching is found to produce biased results in this applicationbecause even a rich set of covariates is insufficient to controlfor preexisting differences between the treatment and controlgroup. Matching, in fact, produces estimates that are no moreaccurate than those generated by ordinary least squares regression.The experimental findings show that brief paid get-out-the-votephone calls do not increase turnout, while matching and regressionshow a large and significant effect.  相似文献   
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