Creating a Consistent Poverty Measure Over Time Using NAS Procedures: 1996-2005

This paper presents an experimental poverty measure and compares it to the current official measure, now more than 40 years old. The experimental measure is based on an approach, drawn from work by a National Academy of Sciences (NAS) expert Panel, to consistently define basic needs and family resources. The experimental thresholds are based on out-of-pocket spending by families on basic goods and services and are based on an “outflows” concept. The resource measure is based on an “inflows” concept and reflects money coming into the household that is available to meet one’s basic needs. The U.S. Consumer Expenditure Survey serves as the basis for the experimental thresholds and the Current Population Survey Annual Social and Economic Supplement serves as the basis for the resource measure. Results for 1996 to 2005 are reported with trends examined. An important finding is that increases in expenditures for shelter and utilities, captured in the new thresholds, suggest a greater increase in the number of families not able to meet basic needs than is reflected by the official poverty statistics.NAS, Poverty, Consumer Exenditure Survey, Current Population Survey

Maintaining Coverage, Affordability, and Shared Responsibility When Income and Employment Change

Outlines the 2010 reform's provisions for adjusting premium and cost-sharing subsidies when incomes change, coordinating eligibility for programs, facilitating continuous coverage, and minimizing transitions between exchanges. Makes recommendations

From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning

Learning from human feedback is an effective way to improve robotic learning in exploration-heavy tasks. Compared to the wide application of binary human feedback, scalar human feedback has been used less because it is believed to be noisy and unstable. In this paper, we compare scalar and binary feedback, and demonstrate that scalar feedback benefits learning when properly handled. We collected binary or scalar feedback respectively from two groups of crowdworkers on a robot task. We found that when considering how consistently a participant labeled the same data, scalar feedback led to less consistency than binary feedback; however, the difference vanishes if small mismatches are allowed. Additionally, scalar and binary feedback show no significant differences in their correlations with key Reinforcement Learning targets. We then introduce Stabilizing TEacher Assessment DYnamics (STEADY) to improve learning from scalar feedback. Based on the idea that scalar feedback is muti-distributional, STEADY re-constructs underlying positive and negative feedback distributions and re-scales scalar feedback based on feedback statistics. We show that models trained with \textit{scalar feedback + STEADY } outperform baselines, including binary feedback and raw scalar feedback, in a robot reaching task with non-expert human feedback. Our results show that both binary feedback and scalar feedback are dynamic, and scalar feedback is a promising signal for use in interactive Reinforcement Learning

The spectrum of eye disease in hospitalized adults living with HIV, 1995-2010.

Eye disease is a well-documented complication of HIV infection. Opportunistic infections generally comprised the majority of pre-antiretroviral therapy (ART) eye complications. With the introduction of ART, opportunistic infections diminished. However, early ART regimens were cumbersome regarding side effects and pill burden, making patient compliance difficult. Newer ART regimens are better tolerated and consist of fewer pills, theoretically making compliance easier and therapy more effective. The aim of this chart review study is to examine eye disease epidemiology in HIV patients as ART has evolved. We reviewed 222 admissions at Thomas Jefferson University Hospitals for 188 patients. These cases were divided into two groups. The first group was comprised of patients admitted from 1995 through 2003, while the second group consisted of patients admitted from 2003 to 2010. Eye disease epidemiology was compared between the two groups. Our study did note a significant decrease in eye diseases caused by opportunistic infections in the 2003-2010 patient group. Noninfectious eye disease is a significant complication in this group

The Iowa Homemaker vol.29, no.6

I Had a Career on the Companion, Mary Dodds Schlick, page 3 Improve Your Lighting, Katherine Williams, page 4 What’s New, Virginia Foth, page 5 Cold in Name Only, Barbara Allen, page 6 Fill Your Hopechest Free, Mary Kay Pitzer, page 7 Convening in Sweden, Janet Sutherland, page 8 Cook’s Favorite at Sigma Nu, Patricia Binder, page 10 Here’s an Idea, Barbara Short, page 14 Put Spring in a Winter Wardrobe, Margaret Wallace, page 1

Tumour Cell Generation of Inducible Regulatory T-Cells in Multiple Myeloma Is Contact-Dependent and Antigen-Presenting Cell-Independent

Regulatory T-cells (TReg cells) are increased in patients with multiple myeloma (MM). We investigated whether MM cells could generate and/or expand TReg cells as a method of immuno-surveillance avoidance. In an in vitro model, CD4+CD25-FoxP3- T-cells co-cultured with malignant plasma cells (primary MM cells and cell lines) induced a significant generation of CD4+CD25+FoxP3+ inducible TReg cells (tTReg cells; p<0.0001), in a contact-dependent manner. tTReg cells were polyclonal, demonstrated a suppressive phenotype and phenotypically, demonstrated increased FoxP3 (p = 0.0001), increased GITR (p<0.0001), increased PD1 (p = 0.003) and decreased CD62L (p = 0.007) expression compared with naturally occurring TReg cells. FACS-sorted tTReg cells differentiated into FoxP+IL-17+ and FoxP3-IL-17+ CD4+ cells upon TCR-mediated stimulation. Blocking experiments with anti-ICOS-L MoAb resulted in a significant inhibition of tTReg cell generation whereas both IL-10 & TGFβ blockade did not. MM tumour cells can directly generate functional TReg cells in a contact-dependent manner, mediated by ICOS/ICOS-L. These features suggest that tumour generation of TReg cells may contribute to evasion of immune surveillance by the host

Back to the Future: Lessons Learned From the 1918 Influenza Pandemic

2018 marks the 100-year anniversary of the 1918 influenza pandemic, which killed ~50 million people worldwide. The severity of this pandemic resulted from a complex interplay between viral, host, and societal factors. Here, we review the viral, genetic and immune factors that contributed to the severity of the 1918 pandemic and discuss the implications for modern pandemic preparedness. We address unresolved questions of why the 1918 influenza H1N1 virus was more virulent than other influenza pandemics and why some people survived the 1918 pandemic and others succumbed to the infection. While current studies suggest that viral factors such as haemagglutinin and polymerase gene segments most likely contributed to a potent, dysregulated pro-inflammatory cytokine storm in victims of the pandemic, a shift in case-fatality for the 1918 pandemic toward young adults was most likely associated with the host's immune status. Lack of pre-existing virus-specific and/or cross-reactive antibodies and cellular immunity in children and young adults likely contributed to the high attack rate and rapid spread of the 1918 H1N1 virus. In contrast, lower mortality rate in in the older (&gt;30 years) adult population points toward the beneficial effects of pre-existing cross-reactive immunity. In addition to the role of humoral and cellular immunity, there is a growing body of evidence to suggest that individual genetic differences, especially involving single-nucleotide polymorphisms (SNPs), contribute to differences in the severity of influenza virus infections. Co-infections with bacterial pathogens, and possibly measles and malaria, co-morbidities, malnutrition or obesity are also known to affect the severity of influenza disease, and likely influenced 1918 H1N1 disease severity and outcomes. Additionally, we also discuss the new challenges, such as changing population demographics, antibiotic resistance and climate change, which we will face in the context of any future influenza virus pandemic. In the last decade there has been a dramatic increase in the number of severe influenza virus strains entering the human population from animal reservoirs (including highly pathogenic H7N9 and H5N1 viruses). An understanding of past influenza virus pandemics and the lessons that we have learnt from them has therefore never been more pertinent

A Meta-narrative Review to Investigate Psychological Distress and Coping Mechanisms Among Healthcare Workers, Related to the COVID-19 Pandemic

Objective: Determining the factors that influence psychological distress of healthcare workers during the COVID-19 pandemic. Background: Due to the sudden occurrence and high transmission rate of the virus that causes COVID-19, many hospitals became overwhelmed and had to respond quickly to the high patient demand. This caused increased burnout among healthcare workers, which we explored on this project. Methodology: PubMed search of peer reviewed articles under topics of burnout, distress, and mental health of healthcare workers during the COVID-19 pandemic yielded 11 articles that we focused on for this meta-narrative review. Discussion: Articles analyzed had a higher response from nurses and women. Burnout was evaluated by using modified versions of the Maslach Burnout Inventory-General Survey which measured emotional exhaustion, depersonalization, and personal accomplishment. Depression, anxiety, and insomnia were prevalent features discussed in the sources. Most of the articles highlighted that increasing psychological stress can lead to PTSD. Psychological distress was greatly influenced by job stress and high job demand. Coping mechanisms such as maintaining regular working hours, adequate supplies and protocols for safety, support, and encouraging resilience were seen to manage the increased psychological distress. Conclusion: We observed that during the COVID-19 pandemic healthcare workers experienced significant psychological distress. We were able to identify coping mechanisms that could aid with stress management. We urge medical institutions to incorporate these measures to prevent a negative impact on the quality of patient care, and arm healthcare workers with tools to manage distress in times of drastic increases in patient caseload.https://openworks.mdanderson.org/rmps/1005/thumbnail.jp

All Six Planets Known to Orbit Kepler-11 Have Low Densities

The Kepler-11 planetary system contains six transiting planets ranging in size from 1.8 to 4.2 times the radius of Earth. Five of these planets orbit in a tightly-packed configuration with periods between 10 and 47 days. We perform a dynamical analysis of the system based upon transit timing variations observed in more than three years of \ik photometric data. Stellar parameters are derived using a combination of spectral classification and constraints on the star's density derived from transit profiles together with planetary eccentricity vectors provided by our dynamical study. Combining masses of the planets relative to the star from our dynamical study and radii of the planets relative to the star from transit depths together with deduced stellar properties yields measurements of the radii of all six planets, masses of the five inner planets, and an upper bound to the mass of the outermost planet, whose orbital period is 118 days. We find mass-radius combinations for all six planets that imply that substantial fractions of their volumes are occupied by constituents that are less dense than rock. The Kepler-11 system contains the lowest mass exoplanets for which both mass and radius have been measured.Comment: 39 pages, 10 figure