A complex relationship among chemical concentration, detection threshold and suprathreshold intensity of bitter compounds

Detection thresholds and psychophysical curves were established for caffeine, quinine-HCl (QHCl), and propylthiouracil (PROP) in a sample of 33 subjects (28 female mean age 24 &plusmn; 4). The mean detection threshold (&plusmn;standard error) for caffeine, QHCl, and PROP was 1.2 &plusmn; 0.12, 0.0083 &plusmn; 0.001, and 0.088 &plusmn; 0.07 mM, respectively. Pearson product&ndash;moment analysis revealed no significant correlations between detection thresholds of the compounds. Psychophysical curves were constructed for each bitter compound over 6 concentrations. There were significant correlations between incremental points of the individual psychophysical curves for QHCl and PROP. Regarding caffeine, there was a specific concentration (6 mM) below and above which the incremental steps in bitterness were correlated. Between compounds, analysis of psychophysical curves revealed no correlations with PROP, but there were significant correlations between the bitterness of caffeine and QHCl at higher concentrations on the psychophysical curve (P &lt; 0.05). Correlation analysis of detection threshold and suprathreshold intensity within a compound revealed a significant correlation between PROP threshold and suprathreshold intensity (r = 0.46&ndash;0.4, P &lt; 0.05), a significant negative correlation for QHCl (r = &ndash;0.33 to &ndash;0.4, P &lt; 0.05), and no correlation for caffeine. The results suggest a complex relationship between chemical concentration, detection threshold, and suprathreshold intensity.<br /

Documentation FiFoSiM: Integrated Tax Benefit Microsimulation and CGE Model

ABSTRACT: This paper describes FiFoSiM, the integrated tax benefit microsimulation and computable general equilibrium (CGE) model of the Center of Public Economics at the University of Cologne. FiFoSiM consists of three main parts. The first part is a static tax benefit microsimulation module. The second part adds a behavioural component to the model: an econometrically estimated labour supply model. The third module is a CGE model which allows the user of FiFoSiM to assess the global economic effects of policy measures. Two specific features distinguish FiFoSiM from other tax benefit models: First, the simultaneous use of two databases for the tax benefit module and second, the linkage of the tax benefit model to a CGE model

Muon (g-2) Technical Design Report

The Muon (g-2) Experiment, E989 at Fermilab, will measure the muon anomalous magnetic moment a factor-of-four more precisely than was done in E821 at the Brookhaven National Laboratory AGS. The E821 result appears to be greater than the Standard-Model prediction by more than three standard deviations. When combined with expected improvement in the Standard-Model hadronic contributions, E989 should be able to determine definitively whether or not the E821 result is evidence for physics beyond the Standard Model. After a review of the physics motivation and the basic technique, which will use the muon storage ring built at BNL and now relocated to Fermilab, the design of the new experiment is presented. This document was created in partial fulfillment of the requirements necessary to obtain DOE CD-2/3 approval

Precautionary Saving and Income Uncertainty in Germany - New Evidence from Microdata

The saving ratio of households in Germany has increased in the past few years when the income trend was weak. This could be due to precautionary saving. In this paper, the importance of precautionary saving against income uncertainty is analyzed empirically using micro data from the German Socio- Economic Panel Study (GSOEP). Wealth in 2002 is regressed on alternative measures of income uncertainty in a cross-section of households. In addition to the usual controls, risk aversion is also taken into account. When using net financial wealth, precautionary saving is statistically significant and economically quite important. The share of precautionary net financial wealth in total aggregate net financial wealth is on average about 20%. Compared with net financial wealth, housing wealth is not used as a buffer stock against income uncertainty, confirming the hypothesis that this kind of asset is rather illiquid

Skilled But Unaware of It: Occurrence and Potential Long-Term Effects of Females' Financial Underconfidence

We find strong gender- and education-related differences in the distribution of actual and perceived financial sophistication: Whereas financial literacy rises in formal education, confidence increases in education for men but decreases for women. We show that the financial decisions of highly-educated men benefit strongly from this excess confidence, while the underconfidence of highly-educated women, in contrast, impairs their long-term financial planning

Quality of Match for Statistical Matches Used in the Development of the Levy Institute Measure of Time and Consumption Poverty (LIMTCP) for Ghana and Tanzania

This document presents a description of the quality of match of the statistical matches used in the LIMTCP estimates prepared for Ghana and Tanzania. For Ghana, the statistical match combines the Living Standards Survey Round 6 (GLSS6) with the Ghana Time Use Survey (GTUS) 2009, and for Tanzania it combines the Household Budget Survey (THBS) 2012 with the time-use data obtained from the Integrated Labor Survey Module (ILFS) 2006. In both cases, the alignment of the two datasets is examined, after which various aspects of the match quality are described. Despite the differences in the survey years, the quality of match is high and the synthetic dataset appropriate for the time poverty analysis

Teaching and Statistical Training

The availability of well-educated researchers is necessary for the fruitful analysis of social and economic data. The increased data offer made possible by the creation of the Research Data Centers (RDCs) has resulted in an increased demand for PhD students at the master's or Diplom levels. Especially in economics, where we find intense competition among the various individual subjects within the course of study, survey statistics has not been very successful in laying claim to a substantial proportion of the coursework and training. The situation is more favorable in sociology faculties. This article argues that the creation of new CAMPUS Files would help foster statistical education by providing public use files covering a wider range of subjects. It also presents some suggestions for new CAMPUS Files along these lines. Additionally, it argues for the establishment of master's programs in survey statistics to increase the availability of well-trained statisticians. An outline of such a master's program is presented and current PhD programs are evaluated with respect to training in survey statistics. Training courses are also offered outside the university that promote the use of new data sets as well as expanding the knowledge of new statistical methods or methods that lie outside standard education. These training courses are organized by the RDCs, (i.e. the data producers), the Data Service Centers, or by GESIS (Leibniz Institute for the Social Sciences). The current tendency to strengthen ties and collaborate with universities should be supported by making it possible to earn academic credit for such courses