Segregation Preferences of Urban and Rural 16-year-olds in Northern Ireland

Sectarian violence in the Northern Ireland is often perceived to be mostly confined to cities. The aim of this paper is to explore statistically what factors contribute to segregation preferences among young people living in rural and urban areas, using the 2005–2009 Young Life and Times (YLT) survey – an annual attitudes survey of 16-year-olds. The findings show that religious and national identities are the strongest predictors of segregation preferences among 16-year-olds, regardless of where they live and what background they have. Those living in rural areas of Northern Ireland are more supportive of residential, workplace and educational segregation than those living in more urban areas. This research highlights the need for government policy to take rurality into account. Nevertheless, some variables significantly determine segregation preferences regardless of where respondents live, such as attendance of segregated schools, being female, or strength of national and religious identity. Consequently, policy initiatives should continue to address the effect of segregation, especially in relation to education, and future research exploring social class and gender is recommended. In conclusion, the perception of the violent ‘urban spaces’ and the ‘peaceful countryside’ has to be challenged.

Physical Models of Wind Instruments : A Generalized Excitation Coupled with a Modular Tube Simulation Platform

To develop real-time simulations of wind instruments, digital waveguides filters can be used as an efficient representation of the air column. Many aerophones are shaped as horns which can be approximated using conical sections. Therefore the derivation of conical waveguide filters is of special interest. When these filters are used in combination with a generalized reed excitation, several classes of wind instruments can be simulated. In this paper we present the methods for transforming a continuous description of conical tube segments to a discrete filter representation. The coupling of the reed model with the conical waveguide and a simplified model of the termination at the open end are described in the same way. It turns out that the complete lossless conical waveguide requires only one type of filter.Furthermore, we developed a digital reed excitation model, which is purely based on numerical integration methods, i.e., without the use of a look-up table.

Hierarchical Bayesian models in ecology: Reconstructing species interaction networks from non-homogeneous species abundance data

The relationships among organisms and their surroundings can be of immense complexity. To describe and understand an ecosystem as a tangled bank, multiple ways of interaction and their effects have to be considered, such as predation, competition, mutualism and facilitation. Understanding the resulting interaction networks is a challenge in changing environments, e.g. to predict knock-on effects of invasive species and to understand how climate change impacts biodiversity. The elucidation of complex ecological systems with their interactions will benefit enormously from the development of new machine learning tools that aim to infer the structure of interaction networks from field data. In the present study, we propose a novel Bayesian regression and multiple changepoint model (BRAM) for reconstructing species interaction networks from observed species distributions. The model has been devised to allow robust inference in the presence of spatial autocorrelation and distributional heterogeneity. We have evaluated the model on simulated data that combines a trophic niche model with a stochastic population model on a 2-dimensional lattice, and we have compared the performance of our model with L1-penalized sparse regression (LASSO) and non-linear Bayesian networks with the BDe scoring scheme. In addition, we have applied our method to plant ground coverage data from the western shore of the Outer Hebrides with the objective to infer the ecological interactions. (C) 2012 Elsevier B.V. All rights reserved.

Huellas de uso en las alabardas argáricas: Una primera aproximación: Una primera aproximación

Use-wear patterns detected on a number of El Argar halberds clearly indicate their use as weapons in hand-to-hand combat. At the same time, the generally low incidence of use-wear traces in these pieces is suggestive of their role as symbols of power. A more specific interpretation is hampered by unsolved taphonomic problems.

Posttranslational Inhibition of Proinflammatory Chemokine Secretion in Intestinal Epithelial Cells Implications for Specific IBD Indications

Background and Aim: Inflammatory bowel diseases (IBD) are immune-mediated chronic diseases that are characterized by an overreaction of the intestinal immune system to the intestinal microbiota. VSL#3, a mixture of 8 different lactic acid bacteria, is a clinically relevant probiotic compound in the context of IBD, but the bacterial structures and molecular mechanisms underlying the observed protective effects are largely unknown. The intestinal epithelium plays a very important role in the maintenance of the intestinal homeostasis, as the intestinal epithelial cells (IEC) are capable of sensing, processing, and reacting upon signals from the luminal microbiota and the intestinal immune system. This immune regulatory function of the IEC is lost in IBD owing to dysregulated activation of the IEC. Thus, the aim of this study was to reveal protective mechanisms of VSL#3 on IEC function.

Results: In vitro, VSL#3 was found to selectively inhibit activation-induced secretion of the T-cell chemokine interferon-inducible protein (IP)-10 in IEC. Cell wall-associated proteins of VSL#3-derived Lactobacillus casei (L. casei) were identified to be the active anti-inflammatory component of VSL#3. Mechanistically, L. casei did not impair initial IP-10 protein production, but induced posttranslational degradation of IP-10 in IEC. Feeding studies in tumor necrosis factor (TNF)(Delta ARE/+) mice, a mouse model for experimental ileitis, revealed that neither VSL#3 nor L. casei is capable of reducing ileal inflammation. Even preweaning feeding of VSL#3 did not prevent the development of severe ileitis in TNF Delta ARE/+ mice. In contrast, VSL#3 feeding studies in IL-10-/- mice, a model for experimental colitis, revealed that VSL#3 has local, intestinal compartment-specific protective effects on the development of inflammation. Reduced histopathologic inflammation in the cecum of IL-10-/- mice after VSL#3 treatment was found to correlate with reduced levels of IP-10 protein in primary cecal epithelial cells.

Conclusion and Outlook: These results suggest that the inhibitory effect of VSL#3-derived L. casei on IP-10 secretion in IEC is an important probiotic mechanism that contributes to the anti-inflammatory effects of VSL#3 in specific subsets of patients with IBD. An important future aim is the identification of the active probiotic protein, which could serve as a basis for the development of new efficient therapies in the context of IBD.

Post-Translational Inhibition of IP-10 Secretion in IEC by Probiotic Bacteria: Impact on Chronic Inflammation

Background: Clinical and experimental studies suggest that the probiotic mixture VSL#3 has protective activities in the context of inflammatory bowel disease (IBD). The aim of the study was to reveal bacterial strain-specific molecular mechanisms underlying the anti-inflammatory potential of VSL#3 in intestinal epithelial cells (IEC).

Methodology/Principal Findings: VSL#3 inhibited TNF-induced secretion of the T-cell chemokine interferon-inducible protein (IP-10) in Mode-K cells. Lactobacillus casei (L. casei) cell surface proteins were identified as active anti-inflammatory components of VSL#3. Interestingly, L. casei failed to block TNF-induced IP-10 promoter activity or IP-10 gene transcription at the mRNA expression level but completely inhibited IP-10 protein secretion as well as IP-10-mediated T-cell transmigration. Kinetic studies, pulse-chase experiments and the use of a pharmacological inhibitor for the export machinery (brefeldin A) showed that L. casei did not impair initial IP-10 production but decreased intracellular IP-10 protein stability as a result of blocked IP-10 secretion. Although L. casei induced IP-10 ubiquitination, the inhibition of proteasomal or lysosomal degradation did not prevent the loss of intracellular IP-10. Most important for the mechanistic understanding, the inhibition of vesicular trafficking by 3-methyladenine (3-MA) inhibited IP-10 but not IL-6 expression, mimicking the inhibitory effects of L. casei. These findings suggest that L. casei impairs vesicular pathways important for the secretion of IP-10, followed by subsequent degradation of the proinflammatory chemokine. Feeding studies in TNF Delta ARE and IL-10(-/-) mice revealed a compartimentalized protection of VSL#3 on the development of cecal but not on ileal or colonic inflammation. Consistent with reduced tissue pathology in IL-10(-/-) mice, IP-10 protein expression was reduced in primary epithelial cells.

Conclusions/Significance: We demonstrate segment specific effects of probiotic intervention that correlate with reduced IP-10 protein expression in the native epithelium. Furthermore, we revealed post-translational degradation of IP-10 protein in IEC to be the molecular mechanism underlying the anti-inflammatory effect.

HOXA/PBX3 knockdown impairs growth and sensitizes cytogenetically normal acute myeloid leukemia cells to chemotherapy

The cytogenetically normal subtype of acute myeloid leukemia (CN-AML) is associated with Intermediate risk which complicates therapeutic options. Lower overall HOX/TALE expression appears to correlate with more favorable prognosis/better response to treatment in some leukemias and solid cancer. The functional significance of the associated gene expression and response to chemotherapy is not known. Three independent microarray datasets obtained from large patient cohorts along with quantitative PCR validation was used to identify a four gene HOXA/TALE signature capable of prognostic stratification. Biochemical analysis was used to identify interactions between the four encoded proteins and targeted knockdown used to examine the functional importance of sustained expression of the signature in leukemia maintenance and response to chemotherapy. An eleven HOXA/TALE code identified in an Intermediate risk (n=315) compared to a Favourable group of patients (n=105) was reduced to a four gene signature of HOXA6, HOXA9, PBX3 and MEIS1 by iterative analysis of independent platforms. This signature maintained the Favorable/Intermediate risk partition and where applicable, correlated with overall survival in CN-AML. We further show that cell growth and function is dependent on maintained levels of these core genes and that direct targeting of HOXA/PBX3 sensitizes CN-AML cells to standard chemotherapy. Together the data support a key role for HOXA/TALE in CN-AML and demonstrate that targeting of clinically significant HOXA/PBX3 elements may provide therapeutic benefit to these patients.

Job Strain as a Risk Factor for Leisure-Time Physical Inactivity: An Individual-Participant Meta-Analysis of Up to 170,000 Men and Women

Unfavorable work characteristics, such as low job control and too high or too low job demands, have been suggested to increase the likelihood of physical inactivity during leisure time, but this has not been verified in large-scale studies. The authors combined individual-level data from 14 European cohort studies (baseline years from 19851988 to 20062008) to examine the association between unfavorable work characteristics and leisure-time physical inactivity in a total of 170,162 employees (50 women; mean age, 43.5 years). Of these employees, 56,735 were reexamined after 29 years. In cross-sectional analyses, the odds for physical inactivity were 26 higher (odds ratio 1.26, 95 confidence interval: 1.15, 1.38) for employees with high-strain jobs (low control/high demands) and 21 higher (odds ratio 1.21, 95 confidence interval: 1.11, 1.31) for those with passive jobs (low control/low demands) compared with employees in low-strain jobs (high control/low demands). In prospective analyses restricted to physically active participants, the odds of becoming physically inactive during follow-up were 21 and 20 higher for those with high-strain (odds ratio 1.21, 95 confidence interval: 1.11, 1.32) and passive (odds ratio 1.20, 95 confidence interval: 1.11, 1.30) jobs at baseline. These data suggest that unfavorable work characteristics may have a spillover effect on leisure-time physical activity.