The US Employment Situation Using the Yale Labor Survey

This study presents the design and results of a rapid-fire survey that collects labor market data for households in the United States. The Yale Labor Survey, or YLS, uses an online panel from YouGov to replicate the Current Population Survey (CPS), which is the source of the government’s monthly household statistics. Questions in the YLS concern current and retrospective employment, hours, and income. Because the YLS draws upon an existing pool of potential respondents, it can generate responses inexpensively and quickly (within 24 hours). Moreover, the YLS can develop new questions in real time to study unusual patterns of work and unemployment during the pandemic. Results from the YLS track those from the CPS over the period of April through June of 2020, with relatively accurate estimates of employment but greater difficulty capturing unemployment. The major issue statistical issue dealt with in this paper is the sample weighting required to overcome the bias in using an online panel

Work in the Time of COVID: Results from the Yale Labor Survey

The Yale Labor Survey (YLS) uses online panels to estimate the state of the US labor market in real time. It is designed to parallel the US government’s monthly labor force survey and present weekly information rapidly and inexpensively. Using an experimental design, the YLS estimates that the US unemployment rate peaked in late April and improved substantially by mid-June. The YLS unemployment rate in mid-June is estimated to be 15%, down about 2 percentage points from mid-May

P2_2 Complexity in popular music

This paper looks at how self organisation can apply to the music industry. Two data sets, one of the 2010 UK top 100 and another of the UK top 60 ever are explored. These data sets are grouped by frequency, and plotted. It is found they largely obey a power law, and the reasons and implications of this relation are discussed

Measuring the U.S. Employment Situation Using Online Panels: The Yale Labor Survey

This study presents the design and results of a rapid-fire survey that collects labor market data for individuals in the United States. The purpose is to test online panels for their application to social, economic, and demographic information as well as to apply this approach to the U.S. labor market. The Yale Labor Survey (YLS) used an online panel from YouGov to replicate statistics from the Current Population Survey (CPS), the government’s official source of household labor market statistics. The YLS’s advantages included its timeliness, low cost, and ability to develop new questions quickly to study unusual labor market patterns during the COVID-19 pandemic. Results from the YLS track employment data closely from the CPS during the pandemic. Although YLS estimates of unemployment and participation rates mirrored the broad trends in CPS data, YLS estimates of those two rates were less accurate than for employment. The study demonstrates the power of carefully crafted online surveys to replicate expensive traditional methods quickly and inexpensively

Cardiac Complications in Acute Ischemic Stroke

<p>Introduction: To characterize cardiac complications in acute ischemic stroke (AIS) patients admitted from an urban emergency department (ED).</p> <p>Methods: Retrospective cross-sectional study evaluating AIS patients admitted from the ED within 24 hours of symptom onset who also had an echocardiogram performed within 72 hours of admission.</p> <p>Results: Two hundred AIS patients were identified with an overall in-hospital mortality rate of 8% (n¼ 16). In our cohort, 57 (28.5%) of 200 had an ejection fraction less than 50%, 35 (20.4%) of 171 had ischemic changes on electrocardiogram (ECG), 18 (10.5%) of 171 presented in active atrial fibrillation, 21 (13.0%) of 161 had serum troponin elevation, and 2 (1.1%) of 184 survivors had potentially lethal</p> <p>arrhythmias on telemetry monitoring. Subgroup analysis revealed higher in-hospital mortality rates among those with systolic dysfunction (15.8% versus 4.9%; P ¼ 0.0180), troponin elevation (38.1% versus 3.4%; P , 0.0001), atrial fibrillation on ECG (33.3% versus 3.8%; P ¼ 0.0003), and ischemic changes on ECG (17.1% versus 6.1%; P ¼ 0.0398) compared with those without.</p> <p>Conclusion: A proportion of AIS patients may have cardiac complications. Systolic dysfunction, troponin elevation, atrial fibrillation, or ischemic changes on ECG may be associated with higher inhospital mortality rates. These findings support the adjunctive role of cardiac-monitoring strategies in the acute presentation of AIS. [West J Emerg Med. 2011;12(4):414–420.]</p

Drag Prediction for the DLR-F6 Wing/Body and DPW Wing using CFL3D and OVERFLOW Overset Mesh

A series of overset grids was generated in response to the 3rd AIAA CFD Drag Prediction Workshop (DPW-III) which preceded the 25th Applied Aerodynamics Conference in June 2006. DPW-III focused on accurate drag prediction for wing/body and wing-alone configurations. The grid series built for each configuration consists of a coarse, medium, fine, and extra-fine mesh. The medium mesh is first constructed using the current state of best practices for overset grid generation. The medium mesh is then coarsened and enhanced by applying a factor of 1.5 to each (I,J,K) dimension. The resulting set of parametrically equivalent grids increase in size by a factor of roughly 3.5 from one level to the next denser level. CFD simulations were performed on the overset grids using two different RANS flow solvers: CFL3D and OVERFLOW. The results were post-processed using Richardson extrapolation to approximate grid converged values of lift, drag, pitching moment, and angle-of-attack at the design condition. This technique appears to work well if the solution does not contain large regions of separated flow (similar to that seen n the DLR-F6 results) and appropriate grid densities are selected. The extra-fine grid data helped to establish asymptotic grid convergence for both the OVERFLOW FX2B wing/body results and the OVERFLOW DPW-W1/W2 wing-alone results. More CFL3D data is needed to establish grid convergence trends. The medium grid was utilized beyond the grid convergence study by running each configuration at several angles-of-attack so drag polars and lift/pitching moment curves could be evaluated. The alpha sweep results are used to compare data across configurations as well as across flow solvers. With the exception of the wing/body drag polar, the two codes compare well qualitatively showing consistent incremental trends and similar wing pressure comparisons

A cis-carotene derived apocarotenoid regulates etioplast and chloroplast development

Carotenoids are a core plastid component and yet their regulatory function during plastid biogenesis remains enigmatic. A unique carotenoid biosynthesis mutant, carotenoid chloroplast regulation 2 (ccr2), that has no prolamellar body (PLB) and normal PROTOCHLOROPHYLLIDE OXIDOREDUCTASE (POR) levels, was used to demonstrate a regulatory function for carotenoids and their derivatives under varied dark-light regimes. A forward genetics approach revealed how an epistatic interaction between a z-carotene isomerase mutant (ziso-155) and ccr2 blocked the biosynthesis of specific cis-carotenes and restored PLB formation in etioplasts. We attributed this to a novel apocarotenoid retrograde signal, as chemical inhibition of carotenoid cleavage dioxygenase activity restored PLB formation in ccr2 etioplasts during skotomorphogenesis. The apocarotenoid acted in parallel to the repressor of photomorphogenesis, DEETIOLATED1 (DET1), to transcriptionally regulate PROTOCHLOROPHYLLIDE OXIDOREDUCTASE (POR), PHYTOCHROME INTERACTING FACTOR3 (PIF3) and ELONGATED HYPOCOTYL5 (HY5). The unknown apocarotenoid signal restored POR protein levels and PLB formation in det1, thereby controlling plastid development

Evaluating the discriminating capacity of cell death (apoptotic) biomarkers in sepsis.

Background: Sepsis biomarker panels that provide diagnostic and prognostic discrimination in sepsis patients would be transformative to patient care. We assessed the mortality prediction and diagnostic discriminatory accuracy of two biomarkers reflective of cell death (apoptosis), circulating cell-free DNA (cfDNA), and nucleosomes. Methods: The cfDNA and nucleosome levels were assayed in plasma samples acquired in patients admitted from four emergency departments with suspected sepsis. Subjects with non-infectious systemic inflammatory response syndrome (SIRS) served as controls. Samples were acquired at enrollment (T0) and 24 h later (T24). We assessed diagnostic (differentiating SIRS from sepsis) and prognostic (28-day mortality) predictive power. Models incorporating procalcitonin (diagnostic prediction) and APACHE II scores (mortality prediction) were generated. Results: Two hundred three subjects were included (107 provided procalcitonin measurements). Four subjects exhibited uncomplicated sepsis, 127 severe sepsis, 35 septic shock, and 24 had non-infectious SIRS. There were 190-survivors and 13 non-survivors. Mortality prediction models using cfDNA, nucleosomes, or APACHEII yielded AUC values of 0.61, 0.75, and 0.81, respectively. A model combining nucleosomes with the APACHE II score improved the AUC to 0.84. Diagnostic models distinguishing sepsis from SIRS using procalcitonin, cfDNA(T0), or nucleosomes(T0) yielded AUC values of 0.64, 0.65, and 0.63, respectively. The three parameter model yielded an AUC of 0.74. Conclusions: To our knowledge, this is the first head-to-head comparison of cfDNA and nucleosomes in diagnosing sepsis and predicting sepsis-related mortality. Both cfDNA and nucleosome concentrations demonstrated a modest ability to distinguish sepsis survivors and non-survivors and provided additive diagnostic predictive accuracy in differentiating sepsis from non-infectious SIRS when integrated into a diagnostic prediction model including PCT and APACHE II. A sepsis biomarker strategy incorporating measures of the apoptotic pathway may serve as an important component of a sepsis diagnostic and mortality prediction tool

Sexual minority youth and depressive symptoms or depressive disorder: A systematic review and meta-analysis of population-based studies

Objective: Research has suggested that sexual minority young people are more likely to have depressive symptoms or depressive disorder, but to date most studies in the field have relied on convenience-based samples. This study overcomes this limitation by systematically reviewing the literature from population-based studies and conducting a meta-analysis to identify whether depressive disorder and depressive symptoms are elevated in sexual minority youth. Method: A systematic review and meta-analysis were conducted and informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to determine if rates of depressive symptoms or depressive disorder differ for sexual minority youth, relative to heterosexual adolescents. MEDLINE, PsycINFO, EMBASE and ERIC databases were searched. Studies reporting depressive symptom data or the prevalence of depressive disorder in population-based samples of adolescents, that included sexual minority youth and heterosexual young people, were included in the review. A meta-analysis was conducted to examine differences between groups. Results: Twenty-three articles met the inclusion criteria. The proportion of sexual minority youth in the studies ranged from 2.3% to 12%. Sexual minority youth reported higher rates of depressive symptoms and depressive disorder (odds ratio = 2.94, pConclusions: There is robust evidence that rates of depressive disorder and depressive symptoms are elevated in sexual minority youth in comparison to heterosexual young people. Despite the elevated risk of depressive symptoms or depressive disorder for sexual minority youth, the treatment for this group of young people has received little attention

A cis-carotene derived apocarotenoid regulates etioplast and chloroplast development

Carotenoids are a core plastid component and yet their regulatory function during plastid biogenesis remains enigmatic. A unique carotenoid biosynthesis mutant, carotenoid chloroplast regulation 2 (ccr2), that has no prolamellar body (PLB) and normal PROTOCHLOROPHYLLIDE OXIDOREDUCTASE (POR) levels, was used to demonstrate a regulatory function for carotenoids and their derivatives under varied dark-light regimes. A forward genetics approach revealed how an epistatic interaction between a ζ-carotene isomerase mutant (ziso-155) and ccr2 blocked the biosynthesis of specific cis-carotenes and restored PLB formation in etioplasts. We attributed this to a novel apocarotenoid retrograde signal, as chemical inhibition of carotenoid cleavage dioxygenase activity restored PLB formation in ccr2 etioplasts during skotomorphogenesis. The apocarotenoid acted in parallel to the repressor of photomorphogenesis, DEETIOLATED1 (DET1), to transcriptionally regulate PROTOCHLOROPHYLLIDE OXIDOREDUCTASE (POR), PHYTOCHROME INTERACTING FACTOR3 (PIF3) and ELONGATED HYPOCOTYL5 (HY5). The unknown apocarotenoid signal restored POR protein levels and PLB formation in det1, thereby controlling plastid development.This work was supported by Grant CE140100008 (BJP) and DP130102593 (CIC)