Job insecurity and wage outcomes in Britain

In 1996 and 1997, approximately 1 in 10 British workers thought that it was either likely or very likely that they would lose their job within 12 months. Increased job insecurity has been touted as a possible cause for the decline of equilibrium unemployment in Britain and the United States during the 1990s. We investigate whether perceptions of job insecurity contribute to lowering wages. First, we examine the validity of subjective questions about unemployment expectations, using longitudinal data. We find that workers' fears of unemployment are increased by their previous unemployment experience and by other household members' unemployment experiences, and are associated with other objective indicators of insecure jobs. The measure of unemployment fear also helps to predict future unemployment, above and beyond conventional objective variables. We then show that high fear of unemployment is associated with significantly lower wage levels. OLS estimates of the downward impact on average wages of an increase in this expectation by just one half of a standard deviation are approximately 1½ percent. Instrumental variable estimates suggest that 1½ percent is likely to be an underestimate. We conclude that increased job insecurity, relative to aggregate unemployment, has contributed in part to wage restraint in Britain

A genome-wide association study for somatic cell score using the Illumina high-density bovine beadchip identifies several novel QTL potentially related to mastitis susceptibility

peer-reviewedMastitis is an inflammation-driven disease of the bovine mammary gland that occurs in response to physical damage or infection and is one of the most costly production-related diseases in the dairy industry worldwide. We performed a genome-wide association study (GWAS) to identify genetic loci associated with somatic cell score (SCS), an indicator trait of mammary gland inflammation. A total of 702 Holstein-Friesian bulls were genotyped for 777,962 single nucleotide polymorphisms (SNPs) and associated with SCS phenotypes. The SCS phenotypes were expressed as daughter yield deviations (DYD) based on a large number of progeny performance records. A total of 138 SNPs on 15 different chromosomes reached genome-wide significance (corrected p-value ≤ 0.05) for association with SCS (after correction for multiple testing). We defined 28 distinct QTL regions and a number of candidate genes located in these QTL regions were identified. The most significant association (p-value = 1.70 × 10−7) was observed on chromosome 6. This QTL had no known genes annotated within it, however, the Ensembl Genome Browser predicted the presence of a small non-coding RNA (a Y RNA gene) in this genomic region. This Y RNA gene was 99% identical to human RNY4. Y RNAs are a rare type of non-coding RNA that were originally discovered due to their association with the autoimmune disease, systemic lupus erythematosus. Examining small-RNA sequencing (RNAseq) data being generated by us in multiple different mastitis-pathogen challenged cell-types has revealed that this Y RNA is expressed (but not differentially expressed) in these cells. Other QTL regions identified in this study also encoded strong candidate genes for mastitis susceptibility. A QTL region on chromosome 13, for example, was found to contain a cluster of β-defensin genes, a gene family with known roles in innate immunity. Due to the increased SNP density, this study also refined the boundaries for several known QTL for SCS and mastitis.This material is based upon works supported by the Science Foundation Ireland under Grant No.[09/IN.1/B2642].We also acknowledge funding provided for this project through the Teagasc Walsh Fellowship scheme and Teagasc RMIS6018 as well as the Irish Department of Agriculture, Food and the Marine Research Stimulus Fund(11/S/112)

Aqueous Angiography with Fluorescein and Indocyanine Green in Bovine Eyes.

PurposeWe characterize aqueous angiography as a real-time aqueous humor outflow imaging (AHO) modality in cow eyes with two tracers of different molecular characteristics.MethodsCow enucleated eyes (n = 31) were obtained and perfused with balanced salt solution via a Lewicky AC maintainer through a 1-mm side-port. Fluorescein (2.5%) or indocyanine green (ICG; 0.4%) were introduced intracamerally at 10 mm Hg individually or sequentially. With an angiographer, infrared and fluorescent images were acquired. Concurrent anterior segment optical coherence tomography (OCT) was performed, and fixable fluorescent dextrans were introduced into the eye for histologic analysis of angiographically positive and negative areas.ResultsAqueous angiography in cow eyes with fluorescein and ICG yielded high-quality images with segmental patterns. Over time, ICG maintained a better intraluminal presence. Angiographically positive, but not negative, areas demonstrated intrascleral lumens with anterior segment OCT. Aqueous angiography with fluorescent dextrans led to their trapping in AHO pathways. Sequential aqueous angiography with ICG followed by fluorescein in cow eyes demonstrated similar patterns.ConclusionsAqueous angiography in model cow eyes demonstrated segmental angiographic outflow patterns with either fluorescein or ICG as a tracer.Translational relevanceFurther characterization of segmental AHO with aqueous angiography may allow for intelligent placement of trabecular bypass minimally invasive glaucoma surgeries for improved surgical results

Revolution and the end of history: Caryl Churchill's Mad Forest

Caryl Churchill’s Mad Forest, written and performed very soon after the Romanian revolution in 1990 and performed both in London and Bucharest, is a dynamic, inter-cultural play that represents a variety of perspectives on the revolutionary events, as well as oscillating between English and Romanian cultural and language coordinates. It has a peculiar topicality in its detailed and specific usages of different aspects of the revolutionary narrative, its sketches of family life before and after the revolution, and the inclusion of the revolution as reported in quasi-documentary-style testimony. The perspective in this article is one that places the play within a framework that thinks through Mad Forest’s relationship to the triumphant, neoliberalist heralding of “the end of history,” most famously argued by Francis Fukuyama in his 1989 article of that name. This discourse gained further confidence from the collapse of Eastern Europe, a collapse that was viewed by proponents of the end-of-history argument as signalling the permanent disintegration of communism and a victory for capitalism. However, Mad Forest is considered here as a play that reflects multiple perspectives on the revolutionary period and, while declining to provide political solutions as such, simultaneously refuses to accede to the implications of the end-of-history argument

ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition.

MOTIVATION: Estimation of bacterial community composition from high-throughput sequenced 16S rRNA gene amplicons is a key task in microbial ecology. Since the sequence data from each sample typically consist of a large number of reads and are adversely impacted by different levels of biological and technical noise, accurate analysis of such large datasets is challenging. RESULTS: There has been a recent surge of interest in using compressed sensing inspired and convex-optimization based methods to solve the estimation problem for bacterial community composition. These methods typically rely on summarizing the sequence data by frequencies of low-order k-mers and matching this information statistically with a taxonomically structured database. Here we show that the accuracy of the resulting community composition estimates can be substantially improved by aggregating the reads from a sample with an unsupervised machine learning approach prior to the estimation phase. The aggregation of reads is a pre-processing approach where we use a standard K-means clustering algorithm that partitions a large set of reads into subsets with reasonable computational cost to provide several vectors of first order statistics instead of only single statistical summarization in terms of k-mer frequencies. The output of the clustering is then processed further to obtain the final estimate for each sample. The resulting method is called Aggregation of Reads by K-means (ARK), and it is based on a statistical argument via mixture density formulation. ARK is found to improve the fidelity and robustness of several recently introduced methods, with only a modest increase in computational complexity. AVAILABILITY: An open source, platform-independent implementation of the method in the Julia programming language is freely available at https://github.com/dkoslicki/ARK. A Matlab implementation is available at http://www.ee.kth.se/ctsoftware

Genome-wide associations for milk production and somatic cell score in Holstein-Friesian cattle in Ireland

<p>Abstract</p> <p>Background</p> <p>Contemporary dairy breeding goals have broadened to include, along with milk production traits, a number of non-production-related traits in an effort to improve the overall functionality of the dairy cow. Increased indirect selection for resistance to mastitis, one of the most important production-related diseases in the dairy sector, via selection for reduced somatic cell count has been part of these broadened goals. A number of genome-wide association studies have identified genetic variants associated with milk production traits and mastitis resistance, however the majority of these studies have been based on animals which were predominantly kept in confinement and fed a concentrate-based diet (i.e. high-input production systems). This genome-wide association study aims to detect associations using genotypic and phenotypic data from Irish Holstein-Friesian cattle fed predominantly grazed grass in a pasture-based production system (low-input).</p> <p>Results</p> <p>Significant associations were detected for milk yield, fat yield, protein yield, fat percentage, protein percentage and somatic cell score using separate single-locus, frequentist and multi-locus, Bayesian approaches. These associations were detected using two separate populations of Holstein-Friesian sires and cows. In total, 1,529 and 37 associations were detected in the sires using a single SNP regression and a Bayesian method, respectively. There were 103 associations in common between the sires and cows across all the traits. As well as detecting associations within known QTL regions, a number of novel associations were detected; the most notable of these was a region of chromosome 13 associated with milk yield in the population of Holstein-Friesian sires.</p> <p>Conclusions</p> <p>A total of 276 of novel SNPs were detected in the sires using a single SNP regression approach. Although obvious candidate genes may not be initially forthcoming, this study provides a preliminary framework upon which to identify the causal mechanisms underlying the various milk production traits and somatic cell score. Consequently this will deepen our understanding of how these traits are expressed.</p

Molecular evolution of dengue type 2 virus in Thailand

Dengue is a mosquito-borne viral infection that in recent years has become a major international public health concern. Dengue hemorrhagic fever (DHF), first recognized in Southeast Asia in the 1950s, is today a leading cause of childhood death in many countries. The pathogenesis of this illness is poorly understood, mainly because there are no laboratory or animal models of disease. We have studied the genetic relationships of dengue viruses of serotype 2, one of four antigenically distinct dengue virus groups, to determine if viruses obtained from cases of less severe dengue fever (DF) have distinct evolutionary origins from those obtained from DHF cases. A very large number (73) of virus samples from patients with DF or DHF in two locations in Thailand (Bangkok and Kamphaeng Phet) were compared by sequence analysis of 240 nucleotides from the envelope/nonstructural protein 1 (E/NS1) gene junction of the viral genome. Phylogenetic trees generated with these data have been shown to reflect long-term evolutionary relationships among strains. The results suggest that 1) many different virus variants may circulate simultaneously in Thailand, thus reflecting the quasispecies nature of these RNA viruses, in spite of population immunity; 2) viruses belonging to two previously distinct genotypic groups have been isolated from both DF and DHF cases, supporting the view that they arose from a common progenitor and share the potential to cause severe disease; and 3) viruses associated with the potential to cause DHF segregate into what is now one, large genotypic group and they have evolved independently in Southeast Asia for some time

Linkages of agroecosystems producing farmed seafood on food security, nutritional status and adolescent health in Bangladesh

Funding Information: We wish to acknowledge funding from Innovative Methods and Metrics for Agriculture and Nutrition Actions (IMMANA) to write this review. The research of BdR and AAS is supported by the Scottish Government's Rural and Environment Science and Analytical Services Division (RESAS). NR is funded by the University of Copenhagen, AG and TA are funded by the International Centre for Diarrhoeal Disease Research Bangladesh, AAM is funded by Noakhali Science and Technology University Bangladesh and FM and DL are funded by the University of Stirling.Peer reviewedPublisher PD