How universal is the fractional-quantum-Hall edge Luttinger liquid?

This article reports on our microscopic investigations of the edge of the fractional quantum Hall state at filling factor $\nu=1/3$. We show that the interaction dependence of the wave function is well described in an approximation that includes mixing with higher composite-fermion Landau levels in the lowest order. We then proceed to calculate the equal time edge Green function, which provides evidence that the Luttinger exponent characterizing the decay of the Green function at long distances is interaction dependent. The relevance of this result to tunneling experiments is discussed.Comment: 5 page

Identification de défauts du bois par règles linguistiques floues

- Cet article présente une méthode de reconnaissance de défauts sur des planches de bois basée sur un mécanisme de raisonnement par inférence floue de type Larsen. Le raisonnement flou nous permet de prendre en compte la variabilité intrinsèque des défauts, car ils sont qualifiés subjectivement et leur frontière est définie de façon imprécise dans l'image. L'utilisation de ce mécanisme flou améliore le taux de reconnaissance de façon significative, autorise une plus grande variabilité intra classe des défauts et facilite la phase de réglage en proposant un apprentissage automatique à partir d'un faible nombre d'échantillons

Health Benefits Are Associated With Employment Status For People With Intellectual Disabilities

Recent studies demonstrate that people with developmental disabilities are at increased risk for preventable illnesses. In our study, we examined several variables suspected to be major contributing factors, with emphasis on job security and employment. The development of sheltered workshops was initially an attempt to promote employment opportunities for people with intellectual and developmental disabilities (IDD), though at subminimum wages. We explored whether these workshops allow for adequate community and healthcare engagement that is necessary for overall health and wellbeing. We designed a study that allowed us to statistically compare health-related data among states that eliminated sheltered workshops with those continuing this practice. These results were compared with internally available data (N=79) at Champlain Community Services (CCS), a specialized employment organization in Vermont serving people with IDD. We quantified health outcomes based on Medicaid standards which include annual wellness visits with a PCP, annual dental visits, and ensuring individuals are up to date on vaccinations. Additionally, we quantified other predictors for general wellbeing including current smoking status and body mass index (BMI). The results of our study indicated that people with IDD from states that have eliminated sheltered workshops tend to have better health outcomes with notable exemplary outcomes in consumers involved with CCS. We anticipate the results of this study will assist organizations, such as CCS, by articulating the impact of sheltered workshops on people living with IDD and receiving subminimum wage.https://scholarworks.uvm.edu/comphp_gallery/1309/thumbnail.jp

Une méthode de sélection de caractéristiques fondée sur l'intégrale de Choquet et l'analyse des typicalités

Cet article expose une méthode itérative de sélection de caractéristiques fondée sur l'intégrale de Choquet et l'analyse des typicalités. La méthode proposée est appliquée à la reconnaissance de défauts sur des planches de bois, domaine dans lequel peu de données sont disponibles en apprentissage. Le choix d'un sous-ensemble de caractéristiques parmi toutes celles que l'on peut extraire d'une image n'est pas aisé. Il apparaît, à l'usage, que même un expert du domaine choisit souvent un jeu de caractéristiques, plus par habitude, que par une réelle analyse du problème. Ainsi, pour pallier ce manque de connaissances du domaine ou cette routine, nous proposons une méthode permettant de sélectionner automatiquement le jeu de caractéristiques le mieux adapté au problème considéré. Le module de reconnaissance mis en place repose sur un système d'inférence par règles floues automatiquement générée à partir d'un lot d'apprentissage. Choisir un jeu de caractéristiques quasi optimal doit permettre de réduire la complexité de la base de règles et ainsi garder une bonne interprétabilité du mécanisme de reconnaissance. Pour l'application testée, la méthode itérative implémentée a déterminé un choix de caractéristiques très similaire au choix de l'expert. Néanmoins, la différence entre les deux jeux de caractéristiques entraîne une différence non négligeable en terme de taux de reconnaissance. En effet, bien que le nombre de règles générées est plus important que celui obtenu avec le choix par expertise, la méthode itérative améliore de 4% les performances

Thrombosis Is Reduced by Inhibition of COX-1, but Unaffected by Inhibition of COX-2, in an Acute Model of Platelet Activation in the Mouse

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Exploring differential item functioning in the SF-36 by demographic, clinical, psychological and social factors in an osteoarthritis population

The SF-36 is a very commonly used generic measure of health outcome in osteoarthritis (OA). An important, but frequently overlooked, aspect of validating health outcome measures is to establish if items work in the same way across subgroup of a population. That is, if respondents have the same 'true' level of outcome, does the item give the same score in different subgroups or is it biased towards one subgroup or another. Differential item functioning (DIF) can identify items that may be biased for one group or another and has been applied to measuring patient reported outcomes. Items may show DIF for different conditions and between cultures, however the SF-36 has not been specifically examined in an osteoarthritis population nor in a UK population. Hence, the aim of the study was to apply the DIF method to the SF-36 for a UK OA population. The sample comprised a community sample of 763 people with OA who participated in the Somerset and Avon Survey of Health. The SF-36 was explored for DIF with respect to demographic, social, clinical and psychological factors. Well developed ordinal regression models were used to identify DIF items. Results: DIF items were found by age (6 items), employment status (6 items), social class (2 items), mood (2 items), hip v knee (2 items), social deprivation (1 item) and body mass index (1 item). Although the impact of the DIF items rarely had a significant effect on the conclusions of group comparisons, in most cases there was a significant change in effect size. Overall, the SF-36 performed well with only a small number of DIF items identified, a reassuring finding in view of the frequent use of the SF-36 in OA. Nevertheless, where DIF items were identified it would be advisable to analyse data taking account of DIF items, especially when age effects are the focus of interest