A numerical investigation of the flow structures and losses for turbulent flow in 90 degrees elbow bends

Computational fluid dynamic modelling was carried out on a series of pipe bends having R/r values of 1.3, 5, and 20, with the purpose of determining the accuracy of numerical models in predicting pressure loss data from which to inform one-dimensional loss models. Four separate turbulence models were studied: the standard k-epsilon model, realizable k-epsilon model, k-omega model, and a Reynolds stress model (RSM). The results are presented for each bend in the form of upstream and downstream pressure profiles, pressure distributions along the inner and outer walls, detailed pressure and velocity fields as well as overall loss values. In each case, measured data were presented to evaluate the predictive ability of each model. The RSM was found to perform the best, producing accurate pressure loss data for bends with R/r values of 5 and 20. For the tightest bend with an R/r value of 1.3, however, predictions were significantly worse due to the presence of flow separation, stronger pressure gradients, and high streamline curvature.

Simple Mediation in a Cheap-Talk Game

In the Crawford-Sobel (uniform, quadratic utility) cheap-talk model, we consider a simple mediation scheme (a communication device) in which the informed agent reports one of N possible elements of a partition to the mediator and then the mediator suggests one of N actions to the uninformed decision-maker according to the probability distribution of the device. We show that such a simple mediated equilibrium cannot improve upon the unmediated N-partition Crawford-Sobel equilibrium when the preference divergence parameter (bias) is small.

Tuberous sclerosis complex: clinical features, diagnosis, and prevalence within Northern Ireland

Tuberous sclerosis complex (TSC) is an autosomal dominant disorder caused by mutations in the TSC1 and TSC2 genes on chromosomes 9 and 16 respectively. Diagnosis is based on clinical features but can be difficult as a result of variable phenotypic expression. With the advantage of mutation analysis in making a diagnosis of TSC, and improved identification of the associated clinical features, there have been few new data on its prevalence and on the proportion of cases due to new mutations. We have performed a retrospective epidemiological study on the prevalence of TSC, the clinical features attributed to it, and the availability of mutational analysis. We identified 73 known patients with TSC (5 deceased): 39 were female and 34 male. Ages ranged from 10 months to 69 years, with a mean age of 27 years 11 months (SD 16y 10mo). The point prevalence of TSC in our study was estimated at I out of 24 956 on the prevalence day (30 April 2004). The majority of patients (42.5%) were diagnosed at less than 15 months of age; 25% were not given a diagnosis on first developing symptoms. In all, 93.2% had epilepsy and 71.2% had a learning disability.* A mutation was identified in 95.8% of those tested (26% TSC1 and 74% TSC2). TSC2 mutations were correlated with a more severe phenotype. The new mutation rate was calculated at 64%. We conclude that the prevalence of TSC is higher than previously calculated. We recommend that all children with epilepsy be assessed for features of TSC. Larger studies will be required to assess the prevalence of mutations in each gene, and genotype-phenotype correlation.

The Delta Np63 Proteins Are Key Allies of BRCA1 in the Prevention of Basal-Like Breast Cancer

Little is known about the origin of basal-like breast cancers, an aggressive disease that is highly similar to BRCA1-mutant breast cancers. p63 family proteins that are structurally related to the p53 suppressor protein are known to function in stem cell regulation and stratified epithelia development in multiple tissues, and p63 expression may be a marker of basal-like breast cancers. Here we report that Delta Np63 isoforms of p63 are transcriptional targets for positive regulation by BRCA1. Our analyses of breast cancer tissue microarrays and BRCA1-modulated breast cancer cell lines do not support earlier reports that p63 is a marker of basal-like or BRCA1 mutant cancers. Nevertheless, we found that BRCA1 interacts with the specific p63 isoform Delta Np63 gamma along with transcription factor isoforms AP-2 alpha and AP-2 gamma. BRCA1 required Delta Np63 gamma and AP-2 gamma to localize to an intronic enhancer region within the p63 gene to upregulate transcription of the Delta Np63 isoforms. In mammary stem/progenitor cells, siRNA- mediated knockdown of Delta Np63 expression resulted in genomic instability, increased cell proliferation, loss of DNA damage checkpoint control, and impaired growth control. Together, our findings establish that transcriptional upregulation of Delta Np63 proteins is critical for BRCA1 suppressor function and that defects in BRCA1-Delta Np63 signaling are key events in the pathogenesis of basal-like breast cancer. Cancer Res; 71( 5); 1933-44. (c) 2011 AACR.

The MATISSE study: a randomised trial of group art therapy for people with schizophrenia

Background: Art Therapy has been promoted as a means of helping people who may find it difficult to express themselves verbally engage in psychological treatment. Group Art Therapy has been widely used as an adjunctive treatment for people with schizophrenia but there have been few attempts to examine its effects and cost effectiveness has not been examined. The MATISSE study aims to evaluate the clinical and cost effectiveness of group Art Therapy for people with schizophrenia.