Why the Poor Get Fat: Weight Gain and Economic Insecurity

Something about being poor makes people fat. Though there are many possible explanations for the income-body weight gradient, we investigate a promising butlittle-studied hypothesis: that economic insecurity acts as an independent cause of weight gain. We use data on working age men from the 1979 National Longitudinal Survey of Youth (NLSY79) to identify the effect of various measures of economic insecurity on weight gain. We find in particular that over the 12-year period between 1988 and 2000, a one point (0.01) increase in the probability of becoming unemployed causes weight gain over this period to increase by about one pound, and each realized drop in annual income results in an increase of about 5.5 pounds. The mechanism also appears to work in reverse, with health insurance and government "social safety net" payments leading to smaller weight gains.obesity, unemployment, moral hazard, NLSY79

Entrepreneurship Marketing in North Carolina’s Wine Industry

Entrepreneurial marketing seeks to create, communicate and deliver value to customers and manage customer relationships in ways that benefit the organization. This paper explores whether increased entrepreneurial marketing practices at North Carolina wineries can lead to enhanced winery performance. A web survey was delivered to N.C. wineries by email. The results suggest that winery customer intensity and innovation was positively related to winery satisfaction of winery performance. Also, innovation and value creation were found to be positively related to percentage sales change at wineries

Experiential Learning of Information Systems in Functional Contexts: The Digital Brand Strategy Project

Successful technology-based ventures and the notion that every company constitutes a “digital” company have driven increased interest in information technology even for students majoring in areas other than information systems. With the growing need for experiential learning, educators in business schools face challenges in identifying effective delivery mechanisms to impart theoretical foundations and practical applications in functional contexts that students find relevant. In this paper, we describe how we designed and implemented a project that fulfilled the above needs and integrated information systems and marketing. We describe the motivation for this project, its learning objectives, and its innovative design and implementation, and we provide an example of the project to illustrate its execution. While this project could be a standalone piece in an information systems course, we show it to be an effective way to communicate how one can apply information systems in a different functional context

Local Gram-Schmidt and Covariant Lyapunov Vectors and Exponents for Three Harmonic Oscillator Problems

We compare the Gram-Schmidt and covariant phase-space-basis-vector descriptions for three time-reversible harmonic oscillator problems, in two, three, and four phase-space dimensions respectively. The two-dimensional problem can be solved analytically. The three-dimensional and four-dimensional problems studied here are simultaneously chaotic, time-reversible, and dissipative. Our treatment is intended to be pedagogical, for publication in Communications in Nonlinear Science and Numerical Computation and for use in an updated version of our book on Time Reversibility, Computer Simulation, and Chaos. Comments are very welcome.Comment: 25 pages with 12 figures; New Figures 9-12 based on two billion timesteps rather than the two hundred million used in Version 1; Electronic publication in Communications in Nonlinear Science and Numerical Computation scheduled for 1 July 201

Methods and Baseline Characteristics of Two Group-Randomized Trials With Multiracial and Multiethnic Working-class Samples

Introduction: Few papers address the methodological challenges in recruiting participants for studies of cancer prevention interventions designed for multiracial and multiethnic working-class populations. This paper reports the results of the sample selection and survey methods for two group-randomized intervention studies. Methods: The two group-randomized intervention studies, Healthy Directions–Small Business (HD–SB) and Healthy Directions–Health Centers (HD–HC), included a worksite-based study in 26 small manufacturing businesses and a study in 10 outpatient health centers. We used selection and recruitment methods to obtain a multiracial and multiethnic working-class study sample. In 2000 and 2001, we assessed baseline measures of sociodemographic characteristics and behavioral outcomes by self-report. We then computed intraclass correlation coefficients (ICCs). Results: Of the 1740 participants in the HD–SB study, 68% were non-Hispanic whites, and 76% had working-class occupations. In the HD–HC study, 59% of 2219 participants were non-Hispanic whites. Among those who worked, 51% had working-class occupations. Large percentages of both samples reported not meeting recommended guidelines for the target behaviors. For example, 86% of members of both samples consumed fewer than the recommended five servings of fruits and vegetables per day. The ICCs for the four target behaviors in HD–SB were between 0.006 and 0.02. In the HD–HC study, the ICCs ranged from 0.0004 to 0.003. Conclusion: The two studies were successful in recruiting multiracial and multiethnic working-class participants. Researchers will find the estimates of the primary outcomes and their ICCs useful for planning future studies

Optimization rules for SARS-CoV-2 M\u3csup\u3epro\u3c/sup\u3e antivirals: Ensemble docking and exploration of the coronavirus protease active site

© 2020 by the authors. Coronaviruses are viral infections that have a significant ability to impact human health. Coronaviruses have produced two pandemics and one epidemic in the last two decades. The current pandemic has created a worldwide catastrophe threatening the lives of over 15 million as of July 2020. Current research efforts have been focused on producing a vaccine or repurposing current drug compounds to develop a therapeutic. There is, however, a need to study the active site preferences of relevant targets, such as the SARS-CoV-2 main protease (SARS-CoV-2 Mpro), to determine ways to optimize these drug compounds. The ensemble docking and characterization work described in this article demonstrates the multifaceted features of the SARS-CoV-2 Mpro active site, molecular guidelines to improving binding affinity, and ultimately the optimization of drug candidates. A total of 220 compounds were docked into both the 5R7Z and 6LU7 SARS-CoV-2 Mpro crystal structures. Several key preferences for strong binding to the four subsites (S1, S1\u27, S2, and S4) were identified, such as accessing hydrogen binding hotspots, hydrophobic patches, and utilization of primarily aliphatic instead of aromatic substituents. After optimization efforts using the design guidelines developed from the molecular docking studies, the average docking score of the parent compounds was improved by 6.59 -log10(Kd) in binding affinity which represents an increase of greater than six orders of magnitude. Using the optimization guidelines, the SARS-CoV-2 Mpro inhibitor cinanserin was optimized resulting in an increase in binding affinity of 4.59 -log10(Kd) and increased protease inhibitor bioactivity. The results of molecular dynamic (MD) simulation of cinanserin-optimized compounds CM02, CM06, and CM07 revealed that CM02 and CM06 fit well into the active site of SARS-CoV-2 Mpro [Protein Data Bank (PDB) accession number 6LU7] and formed strong and stable interactions with the key residues, Ser-144, His-163, and Glu-166. The enhanced binding affinity produced demonstrates the utility of the design guidelines described. The work described herein will assist scientists in developing potent COVID-19 antivirals

Saturation of nuclear matter and short-range correlations

A fully self-consistent treatment of short-range correlations in nuclear matter is presented. Different implementations of the determination of the nucleon spectral functions for different interactions are shown to be consistent with each other. The resulting saturation densities are closer to the empirical result when compared with (continuous-choice) Brueckner-Hartree-Fock values. Arguments for the dominance of short-range correlations in determining the nuclear-matter saturation density are presented. A further survey of the role of long-range correlations suggests that the inclusion of pionic contributions to ring diagrams in nuclear matter leads to higher saturation densities than empirically observed. A possible resolution of the nuclear-matter saturation problem is suggested.Comment: 5 pages, 1 figure, to be published in Phys.Rev.Let

Impact of a physician intervention program to increase breast cancer screening

In order to improve compliance with the National Cancer Institute\u27s breast cancer screening guidelines, we developed a multifaceted intervention designed to alter physician screening practice. A pre-post test, two-community design was used. Primary care physicians in one community served as the control. Data were collected by two mailed surveys (1987 and 1990). Response rates were 61% and 64%, respectively. The physician intervention program consisted of a hospital-based continuing medical education program and an outreach component which focused on implementing a reminder system. Outcome measures were self-reported attitudinal, knowledge, and screening practices changes. In spite of an impressive change in comparison community physicians\u27 practice, the difference in change over time in the intervention community physicians\u27 ordering of annual mammography compared to the change in the comparison community physicians\u27 ordering was significant (P = 0.04). The adjusted odds ratio is nearly 8. We conclude that our in-service continuing medical education program was successful in improving breast cancer screening practices among primary care physicians