Analysis of need in relation to 'one stop shop' services for young people in Northern Ireland

An analysis of need for 'one stop shop' drop-in support services in relation to alcohol and drug misuse, undertaken by the PHA for the Health Development Policy Branch of the DHSSPS Additional information:

An empirical study of machine learning techniques applied to image watermarking

A study of how the machine learning technique, known as gentleboost, could improve different digital watermarking methods such as LSB, DWT, DCT2 and Histogram shifting.

Estratégia, competências e desempenho em empresas de pet shop: evidências de um levantamento em Curitiba

No presente estudo, busca-se examinar a influência da combinação do ambiente percebido, das competências empresariais e do desempenho obtido na determinação da estratégia adotada por pequenas empresas representadas por lojas de comércio e prestação de serviços para animais de estimação - pet shops - em Curitiba (Paraná). A coleta de dados foi realizada por meio de um questionário estruturado dividido em cinco blocos. Foi possível identificar todos os quatro tipos de estratégia propostas pela tipologia de Miles e Snow (1978). A maioria das empresas pesquisadas adota a estratégia prospectora; em seguida aparecem as empresas que adotam a estratégia analítica e a estratégia defensiva; a postura reativa mostrou ser o comportamento estratégico menos adotado no setor. Na percepção dos respondentes, verificou-se que o ambiente do setor foi único, independentemente do tipo de estratégia adotada, caracterizando-se como complexo e pouco previsível; o mercado é dinâmico, mas mostra-se favorável ao crescimento. Em termos dos resultados organizacionais, apesar dos diferentes tipos de estratégia adotados, todos os respondentes afirmam, sem possibilidade de distinção, estar satisfeitos tanto com os resultados da gestão como com os resultados econômicos alcançados por suas empresas. Em termos de competências, o setor de pet shop enfatiza as competências gerenciais, as competências em serviços tradicionais e a competência em serviços de guarda de animais.

Personalized modeling for drug concentration prediction using Support Vector Machine

Building a personalized model to describe the drug concentration inside the human body for each patient is highly important to the clinical practice and demanding to the modeling tools. Instead of using traditional explicit methods, in this paper we propose a machine learning approach to describe the relation between the drug concentration and patients' features. Machine learning has been largely applied to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. We focus mainly on the prediction of the drug concentrations as well as the analysis of different features' influence. Models are built based on Support Vector Machine and the prediction results are compared with the traditional analytical models.

Towards a user-friendly webservice architecture for statistical machine translation in the PANACEA project

This paper presents a webservice architecture for Statistical Machine Translation aimed at non-technical users. A workfloweditor allows a user to combine different webservices using a graphical user interface. In the current state of this project,the webservices have been implemented for a range of sentential and sub-sententialaligners. The advantage of a common interface and a common data format allows the user to build workflows exchanging different aligners.

Interobserver and intraobserver variability of the apparent diffusion coefficient in treated malignant hepatic lesions on a 3.0T machine: measurements in the whole lesion versus in the area with the most restricted diffusion.

PURPOSE: To assess the inter/intraobserver variability of apparent diffusion coefficient (ADC) measurements in treated hepatic lesions and to compare ADC measurements in the whole lesion and in the area with the most restricted diffusion (MRDA). MATERIALS AND METHODS: Twenty-five patients with treated malignant liver lesions were examined on a 3.0T machine. After agreeing on the best ADC image, two readers independently measured the ADC values in the whole lesion and in the MRDA. These measurements were repeated 1 month later. The Bland-Altman method, Spearman correlation coefficients, and the Wilcoxon signed-rank test were used to evaluate the measurements. RESULTS: Interobserver variability for ADC measurements in the whole lesion and in the MRDA was 0.17 x 10(-3) mm(2)/s [-0.17, +0.17] and 0.43 x 10(-3) mm(2)/s [-0.45, +0.41], respectively. Intraobserver limits of agreement could be as low as [-0.10, +0.12] 10(-3) mm(2)/s and [-0.20, +0.33] 10(-3) mm(2)/s for measurements in the whole lesion and in the MRDA, respectively. CONCLUSION: A limited variability in ADC measurements does exist, and it should be considered when interpreting ADC values of hepatic malignancies. This is especially true for the measurements of the minimal ADC.