Interview with Marcia Brown

Lisa M. Groesz recounts her interview with Marcia Brownhttps://digital.kenyon.edu/elfs_interviews/1049/thumbnail.jp

Interview with Kate Brown

Kate Brown talks about her Maple Syrup Farm.https://digital.kenyon.edu/elfs_interviews/1040/thumbnail.jp

Interview with Marcia Brown

Marcia Brown talks about her family and preserving food.https://digital.kenyon.edu/elfs_interviews/1042/thumbnail.jp

Psychological First Aid Field Operations Guide for Nursing Homes

Psychological First Aid is an evidence-informed1 modular approach to help elderly persons and persons with disabilities in nursing homes, other adults, families, adolescents and children in the immediate aftermath of disaster and terrorism. Psychological First Aid is designed to reduce the initial distress caused by traumatic events and to foster short- and long-term adaptive functioning and coping. Principles and techniques of Psychological First Aid meet four basic standards. They are: 1. Consistent with research on risk and resilience following trauma 2. Applicable and practical in field settings 3. Appropriate for developmental levels across the lifespan 4. Culturally informed and delivered in a flexible manner Psychological First Aid does not assume that all disaster survivors will develop severe mental health problems or long-term difficulties in recovery. Instead, it is based on an understanding that disaster survivors and others affected by such events will experience a broad range of early reactions (e.g., physical, psychological, behavioral, spiritual). Some of these reactions will cause enough distress to interfere with adaptive coping, and recovery may be helped by support from compassionate and caring nursing home staff who are responsible for resident care during a disaster

Interview with Kate Brown

Lisa M. Groesz recounts her interview with Kate Brownhttps://digital.kenyon.edu/elfs_interviews/1047/thumbnail.jp

Bifurcated polarization rotation in bismuth-based piezoelectrics

ABO3 perovskite-type solid solutions display a large variety of structural and physical properties, which can be tuned by chemical composition or external parameters such as temperature, pressure, strain, electric, or magnetic fields. Some solid solutions show remarkably enhanced physical properties including colossal magnetoresistance or giant piezoelectricity. It has been recognized that structural distortions, competing on the local level, are key to understanding and tuning these remarkable properties, yet, it remains a challenge to experimentally observe such local structural details. Here, from neutron pair-distribution analysis, a temperature-dependent 3D atomic-level model of the lead-free piezoelectric perovskite Na0.5Bi0.5TiO3 (NBT) is reported. The statistical analysis of this model shows how local distortions compete, how this competition develops with temperature, and, in particular, how different polar displacements of Bi3+ cations coexist as a bifurcated polarization, highlighting the interest of Bi-based materials in the search for new lead-free piezoelectrics

Exposure-Lag-Response in Longitudinal Studies: Application of Distributed-Lag Nonlinear Models in an Occupational Cohort.

Prolonged exposures can have complex relationships with health outcomes, as timing, duration, and intensity of exposure are all potentially relevant. Summary measures such as cumulative exposure or average intensity of exposure may not fully capture these relationships. We applied penalized and unpenalized distributed-lag nonlinear models (DLNMs) with flexible exposure-response and lag-response functions in order to examine the association between crystalline silica exposure and mortality from lung cancer and nonmalignant respiratory disease in a cohort study of 2,342 California diatomaceous earth workers followed during 1942-2011. We also assessed associations using simple measures of cumulative exposure assuming linear exposure-response and constant lag-response. Measures of association from DLNMs were generally higher than those from simpler models. Rate ratios from penalized DLNMs corresponding to average daily exposures of 0.4 mg/m3 during lag years 31-50 prior to the age of observed cases were 1.47 (95% confidence interval (CI): 0.92, 2.35) for lung cancer mortality and 1.80 (95% CI: 1.14, 2.85) for nonmalignant respiratory disease mortality. Rate ratios from the simpler models for the same exposure scenario were 1.15 (95% CI: 0.89, 1.48) and 1.23 (95% CI: 1.03, 1.46), respectively. Longitudinal cohort studies of prolonged exposures and chronic health outcomes should explore methods allowing for flexibility and nonlinearities in the exposure-lag-response

Imaging Sources with Fast and Slow Emission Components

We investigate two-proton correlation functions for reactions in which fast dynamical and slow evaporative proton emission are both present. In such cases, the width of the correlation peak provides the most reliable information about the source size of the fast dynamical component. The maximum of the correlation function is sensitive to the relative yields from the slow and fast emission components. Numerically inverting the correlation function allows one to accurately disentangle fast dynamical from slow evaporative emission and extract details of the shape of the two-proton source.Comment: 13 pages, 4 figure

Reflections on the Occasion of the 100th Anniversary of the Monthly Labor Review

It is an honor to comment on directions for the Monthly Labor Review MLR over its next 25 years. The MLR is the federal government\u27s oldest continuous publication—first printed in 1915 and now published online by the Bureau of Labor Statistics (BLS), one of the nation\u27s oldest statistical agencies, established in 1884. BLS embodies the standards articulated by the Committee on National Statistics (CNSTAT) in the fifth edition of its quadrennial volume Principles and Practices for a Federal Statistical Agency (National Research Council, 2013). P&P lays down four principles: that a statistical agency produce data relevant to policy issues, earn credibility with data users, earn the trust of data providers (e.g., households, businesses), and maintain independence from political and other undue external influence