Naming the Reformed Junior Cycle Proposals for the Minister for Education and Skills - Irish Second Level Students Union (ISSU)

It was important to us to engage with as many students as possible throughout the process of developing a new name for the reformed junior cycle. In this vein, we used a wide variety of methods to engage with students in order to capture as many ideas as possible; text messaging, Facebook, Twitter, email and consultation sessions. We circulated posters to all schools via post and/or email, and contacted schools in catchment areas for the consultation sessions by phone. In our consultation sessions, we had discussions with the participating students about what the new junior cycle would be, closely guided by the content of “Towards a Framework for Junior Cycle” from the National Council for Curriculum and assessment. In these sessions, students then gave feedback on what they thought of the reformed junior cycle, developed their own ideas, and identified what they thought should be reflected in the name of the reformed junior cycle

Report of the Action Group on Access to Third Level Education

In line with a commitment under the Programme for Prosperity and Fairness the Minister for Education and Science, Dr Michael Woods, established the Action Group on Access to Third Level Education, in September 2000, to advise the Minister on the development of a co-ordinated framework to promote access by mature and disadvantaged students and students with disabilities to third level education.

Supporting A Better Transition From Second Level To Higher Education: Key directions and Next Steps

Supporting A Better Transition From Second Level To Higher Education. Provided by the Department of Education and Skills, Ireland.

Representing diffusion MRI in 5D for segmentation of white matter tracts with a level set method.

We present a method for segmenting white matter tracts from high angular resolution diffusion MR. images by representing the data in a 5 dimensional space of position and orientation. Whereas crossing fiber tracts cannot be separated in 3D position space, they clearly disentangle in 5D position-orientation space. The segmentation is done using a 5D level set method applied to hyper-surfaces evolving in 5D position-orientation space. In this paper we present a methodology for constructing the position-orientation space. We then show how to implement the standard level set method in such a non-Euclidean high dimensional space. The level set theory is basically defined for N-dimensions but there are several practical implementation details to consider, such as mean curvature. Finally, we will show results from a synthetic model and a few preliminary results on real data of a human brain acquired by high angular resolution diffusion MRI.

Effect of low-level pathogenic helminth infection on energy metabolism in Gambian children.

The aim of the present study was to determine whether an increase in resting energy expenditure (REE) contributes to the impaired nutritional status of Gambian children infected by a low level of infection with pathogenic helminths. The REE of 24 children infected with hookworm, Ascaris, Strongyloides, or Trichuris (mean +/- SEM age = 11.9 +/- 0.1 years) and eight controls without infection (mean +/- SEM age = 11.8 +/- 0.1 years) were measured by indirect calorimetry with a hood system (test A). This measurement was repeated after treatment with 400 mg of albendazole (patients) or a placebo (controls) (test B). When normalized for fat free mass, REE in test A was not different in the patients (177 +/- 2 kJ/kg x day) and in the controls (164 +/- 7 kJ/kg x day); furthermore, REE did not change significantly after treatment in the patients (173 +/- 3 kJ/kg x day) or in the controls (160 +/- 8 kJ/kg x day). There was no significant difference in the respiratory quotient between patients and controls, nor between tests A and B. It is concluded that a low level of helminth infection does not affect significantly the energy metabolism of Gambian children.

Urban malaria in the Brazilian Western Amazon Region I: high prevalence of asymptomatic carriers in an urban riverside district is associated with a high level of clinical malaria

Cross sectional studies on malaria prevalence was performed in 2001, 2002, and 2004 in Vila Candelária, an urban riverside area of Porto Velho, Rondônia, in the Brazilian Western Amazon, followed by longitudinal surveys on malaria incidence. Vila Candelária is a working class district, provided with electricity, water supply, and basic sanitation. Previous preliminary surveys indicated high malaria incidence in this community. At the end of year 2000 regular diagnostic and treatment measures for malaria were introduced, with active search of febrile cases among residents. Despite of both rapid treatment of cases and relative good sanitary and housing conditions, the malaria incidence persisted at high levels during the following years with an annual parasite index of 150 to 300/1000 inhabitants. Parasite surveys in 2001, 2002, and 2004 achieved through microscopy and polymerase chain reaction to diagnose malaria showed a constant high prevalence of asymptomatic carriers for both Plasmodium falciparum and P. vivax parasites. It was concluded that asymptomatic carriers represent an important reservoirs of parasites and that the carriers might contribute to maintaining the high level of transmission. Comparing our findings to similar geo-demographic situations found in other important urban communities of the Brazilian Amazon, we propose that asymptomatic carriers could explain malaria's outbreaks like the one recently observed in Manaus.

Prevalence and level of antibodies to the circumsporozoite protein of human malaria parasites in five states of the Amazon region of Brazil

The aim of this study was to determine the prevalence of malaria infection and antibodies against the repetitive epitopes of the circumsporozoite (CS) proteins of Plasmodium falciparum, P. malariae, P. vivax VK210, P. vivax VK247, and P. vivax-like in individuals living in the states of Rondônia, Pará, Mato Grosso, Amazonas, and Acre. Active malaria transmission was occurring in all studied sites, except in Acre. P. falciparum was the predominant species in Pará and Rondônia and P. vivax in Mato Grosso. Infection by P. malariae was low but this Plasmodium species was detected in Rondônia (3.5%), Mato Grosso (2.5%), and Pará (0.8%). High prevalence and levels of serological reactivity against the CS repeat peptides of P. falciparum were detected in Rondônia (93%) and Pará (85%). Sera containing antibodies against the CS repeat of P. malariae occurred more frequently in Rondônia (79%), Pará (76%), and Amazonas (68%). Antibodies against the repeat epitope of the standard CS protein of P. vivax VK210, P. vivax VK247, and P. vivax-like were more frequent in Rondônia, Pará, and Mato Grosso. The high frequency of reactions to P. malariae in most of the areas suggests that the infection by this Plasmodium species has been underestimated in Brazil.

ParroCha : low-level C# library that wraps libparrot

Parrocha es un envoltorio simple realizado para las plataformas de desarrollo basadas en el estándar CLI de la biblioteca libparrot. Libparrot es una biblioteca de funciones implementada en C, que puede compilarse sobre varias plataformas y en la que se implementa la plataforma de desarrollo Parrot.

A Public Service Gap: Capturing Contexts in a Comparative Approach of Street-Level Bureaucracy

Studies of street-level bureaucracy have introduced a variety of conceptualizations, research approaches, and causal inferences. While this research has produced several insights, the impact of variety in the institutional context has not been adequately explored. We present the construct of a public service gap as a way to incorporate contextual factors and facilitate comparison. This construct addresses the differences between what is asked of and what is offered to public servants working at the street level. The heuristic enables the systematic capture of macro- and meso-contextual influences, thus enhancing comparative research on street-level bureaucracy.

Analysis of HIV-1 expression level and sense of transcription by high-throughput sequencing of the infected cell.

Next-generation sequencing offers an unprecedented opportunity to jointly analyze cellular and viral transcriptional activity without prerequisite knowledge of the nature of the transcripts. SupT1 cells were infected with a vesicular stomatitis virus G envelope protein (VSV-G)-pseudotyped HIV vector. At 24 h postinfection, both cellular and viral transcriptomes were analyzed by serial analysis of gene expression followed by high-throughput sequencing (SAGE-Seq). Read mapping resulted in 33 to 44 million tags aligning with the human transcriptome and 0.23 to 0.25 million tags aligning with the genome of the HIV-1 vector. Thus, at peak infection, 1 transcript in 143 is of viral origin (0.7%), including a small component of antisense viral transcription. Of the detected cellular transcripts, 826 (2.3%) were differentially expressed between mock- and HIV-infected samples. The approach also assessed whether HIV-1 infection modulates the expression of repetitive elements or endogenous retroviruses. We observed very active transcription of these elements, with 1 transcript in 237 being of such origin, corresponding on average to 123,123 reads in mock-infected samples (0.40%) and 129,149 reads in HIV-1-infected samples (0.45%) mapping to the genomic Repbase repository. This analysis highlights key details in the generation and interpretation of high-throughput data in the setting of HIV-1 cellular infection.

Conditioning of stochastic 3-D fracture networks to hydrological and geophysical data

The geometry and connectivity of fractures exert a strong influence on the flow and transport properties of fracture networks. We present a novel approach to stochastically generate three-dimensional discrete networks of connected fractures that are conditioned to hydrological and geophysical data. A hierarchical rejection sampling algorithm is used to draw realizations from the posterior probability density function at different conditioning levels. The method is applied to a well-studied granitic formation using data acquired within two boreholes located 6 m apart. The prior models include 27 fractures with their geometry (position and orientation) bounded by information derived from single-hole ground-penetrating radar (GPR) data acquired during saline tracer tests and optical televiewer logs. Eleven cross-hole hydraulic connections between fractures in neighboring boreholes and the order in which the tracer arrives at different fractures are used for conditioning. Furthermore, the networks are conditioned to the observed relative hydraulic importance of the different hydraulic connections by numerically simulating the flow response. Among the conditioning data considered, constraints on the relative flow contributions were the most effective in determining the variability among the network realizations. Nevertheless, we find that the posterior model space is strongly determined by the imposed prior bounds. Strong prior bounds were derived from GPR measurements and helped to make the approach computationally feasible. We analyze a set of 230 posterior realizations that reproduce all data given their uncertainties assuming the same uniform transmissivity in all fractures. The posterior models provide valuable statistics on length scales and density of connected fractures, as well as their connectivity. In an additional analysis, effective transmissivity estimates of the posterior realizations indicate a strong influence of the DFN structure, in that it induces large variations of equivalent transmissivities between realizations. The transmissivity estimates agree well with previous estimates at the site based on pumping, flowmeter and temperature data.

Predicting random level and seasonality of hotel prices. A structural equation growth curve approach

This article examines the effect on price of different characteristics of holiday hotels in the sun-and-beach segment, under the hedonic function perspective. Monthly prices of the majority of hotels in the Spanish continental Mediterranean coast are gathered from May to October 1999 from the tour operator catalogues. Hedonic functions are specified as random-effect models and parametrized as structural equation models with two latent variables, a random peak season price and a random width of seasonal fluctuations. Characteristics of the hotel and the region where they are located are used as predictors of both latent variables. Besides hotel category, region, distance to the beach, availability of parking place and room equipment have an effect on peak price and also on seasonality. 3- star hotels have the highest seasonality and hotels located in the southern regions the lowest, which could be explained by a warmer climate in autumn