Examining the Overlapping Traits of Athletes and Entrepreneurs Through a Series of Case Studies

Today’s psychologists have paid close attention to personality and how it can affect many areas of a person’s life. From career success to criminal behavior psychologists continuously are trying to define key characteristics that may be contributing factors in the prediction of future happenings. This paper will look closely at theories regarding personality traits that are key to success. Those traits are identified in eight case studies relating to both entrepreneurial and athletic success with the findings showing a possible link between success and some key traits and an overlap of some traits between athletes and entrepreneurs

Acceleration by Strong Interactions

Beyond the attractive strong potential needed for hadronic bound states, strong interactions are predicted to provide repulsive forces depending on the color charges involved. The repulsive interactions could in principle serve for particle acceleration with highest gradients in the order of GeV/fm. Indirect evidence for repulsive interactions have been reported in the context of heavy meson production at colliders. In this contribution, we sketch a thought experiment to directly investigate repulsive strong interactions. For this we prepare two quarks using two simultaneous deep inelastic scattering processes off an iron target. We discuss the principle setup of the experiment and estimate the number of electrons on target required to observe a repulsive effect between the quarks.Comment: 6 pages, 7 figure

Does the Relationship Between Mortality and the Business Cycle Vary by the Level of Economic Development? Evidence from Mexico

We investigate the relationship between mortality and business cycles within Mexico, where development varies significantly. We exploit this variation by separately analyzing the top ten and bottom ten developed states. We find that while mortality is procyclical nationally and in the top ten states, it is countercyclical in the bottom ten. Further, we show that in the top ten states mortality due to noncommunicable conditions is procyclical, while in the bottom ten mortality due to noncommunicable conditions and infectious and parasitic diseases is countercyclical. This suggests that the relationship between mortality and business cycles may vary by level of development.

Macroeconomic Changes and Mortality in Mexico

While previous studies examine how the business cycle affects mortality in developed countries, less is known about this relationship in developing countries. In this paper, we investigate whether the procyclical nature of mortality in developed countries found by Ruhm (2000) and others is also present in Mexico. We assemble a unique panel data set that contains state-level data on mortality rates by age and cause of death, GDP per capita, and socioeconomic status. We find that for Mexico total mortality rates are procyclical, with the largest impact on those aged 20 to 49. While these findings are similar to those in Ruhm (2000), the effects of business cycles on mortality rates differ for several specific causes of death. These results suggest that whereas total mortality may be procyclical in some developed and developing countries, significant differences may exist for some causes of death.

Probing the variability of the fine-structure constant with the VLT/UVES

We assess the cosmological variability of the fine-structure constant from the analysis of an ensemble of Fe II absorption lines at the redshift z=1.15 toward the QSO HE 0515-4414 by means of the standard many-multiplet (MM) technique and its revision based on linear regression (RMM). This is the first time the MM technique is applied to exceptional high-resolution and high signal-to-noise QSO spectra recorded with the UV-Visual Echelle Spectrograph (UVES) at the ESO Very Large Telescope (VLT). Our analysis results in the most stringent bounds hitherto infered from QSO absorption lines. Our results support the null hypothesis of a non-varying fine-structure constant at a significance level of 91 percent, whereas the support for the results presented in former MM studies indicating a variation in the fine-structure constant is 12 percent.Comment: 7 pages, 5 figures, accepted for publication in Astronomy & Astrophysics Letter

'Spindles' in symmetric spaces

We study families of submanifolds in symmetric spaces of compact type arising as exponential images of s-orbits of variable radii. Special attention is given to the cases where the s-orbits are symmetric

The All Sky Young Association (ASYA): a new young association

To analyze the SACY (Search for Associations Containing Young stars) survey we developed a method to find young associations and to define their high probability members. These bona fide members enable to obtain the kinematical and the physical properties of each association in a proper way. Recently we noted a concentration in the UV plane and we found a new association we are calling ASYA (All Sky Young Association) for its overall distribution in the sky with a total of 38 bonafide members and an estimated age of 110 Myr, the oldest young association found in the SACY survey. We present here its kinematical, space and Li distributions and its HR diagram.Comment: To appear in "Young Stars and Planets Near the Sun", Proceedings of IAU Symposium No. 314 (Cambridge University Press), J.H. Kastner, B. Stelzer, S.A. Metchev, ed

Optimal statistical inference in the presence of systematic uncertainties using neural network optimization based on binned Poisson likelihoods with nuisance parameters

Data analysis in science, e.g., high-energy particle physics, is often subject to an intractable likelihood if the observables and observations span a high-dimensional input space. Typically the problem is solved by reducing the dimensionality using feature engineering and histograms, whereby the latter technique allows to build the likelihood using Poisson statistics. However, in the presence of systematic uncertainties represented by nuisance parameters in the likelihood, the optimal dimensionality reduction with a minimal loss of information about the parameters of interest is not known. This work presents a novel strategy to construct the dimensionality reduction with neural networks for feature engineering and a differential formulation of histograms so that the full workflow can be optimized with the result of the statistical inference, e.g., the variance of a parameter of interest, as objective. We discuss how this approach results in an estimate of the parameters of interest that is close to optimal and the applicability of the technique is demonstrated with a simple example based on pseudo-experiments and a more complex example from high-energy particle physics

Do Elected Public Utility Commissioners Behave More Politically than Appointed Ones?

This paper investigates whether the means by which public utility commissioners are selected affects the influence of political affiliation on policy choices. This question is asked in the context of telecommunications network lease prices and retail prices. While political affiliation appears to have limited influence on lease prices set by appointed commissioners, it has a significant impact when these prices are set by elected commissioners. Conversely, the political affiliation of appointed regulators appears to affect retail prices, whereas the political affiliation of elected commissioners does not.