CHARACTERIZATION AND THERMAL-HYDRAULIC MODELING OF ENGINEERED BARRIERS FOR A CANADIAN DEEP GEOLOGICAL REPOSITORY FOR USED NUCLEAR FUEL

Within Canada there are more than 2.5 million bundles of spent nuclear fuel with another approximately 2 million bundles to be generated in the future. Canada, and every country around the world that has taken a decision on management of spent nuclear fuel, has decided on long-term containment and isolation of the fuel within a deep geological repository. At depth, a deep geological repository consists of a network of placement rooms where the bundles will be located within a multi-layered system that incorporates engineered and natural barriers. The barriers will be placed in a complex thermal-hydraulic-mechanical-chemical-biological (THMCB) environment. A large database of material properties for all components in the repository are required to construct representative models. Within the repository, the sealing materials will experience elevated temperatures due to the thermal gradient produced by radioactive decay heat from the waste inside the container. Furthermore, high porewater pressure due to the depth of repository along with possibility of elevated salinity of groundwater would cause the bentonite-based materials to be under transient hydraulic conditions. Therefore it is crucial to characterize the sealing materials over a wide range of thermal-hydraulic conditions. A comprehensive experimental program has been conducted to measure properties (mainly focused on thermal properties) of all sealing materials involved in Mark II concept at plausible thermal-hydraulic conditions. The thermal response of Canada’s concept for a deep geological repository has been modelled using experimentally measured thermal properties. Plausible scenarios are defined and the effects of these scenarios are examined on the container surface temperature as well as the surrounding geosphere to assess whether they meet design criteria for the cases studied. The thermal response shows that if all the materials even being at dried condition, repository still performs acceptably as long as sealing materials remain in contact.

Impact of selection and demography on the diffusion of lactase persistence.

The lactase enzyme allows lactose digestion in fresh milk. Its activity strongly decreases after the weaning phase in most humans, but persists at a high frequency in Europe and some nomadic populations. Two hypotheses are usually proposed to explain the particular distribution of the lactase persistence phenotype. The gene-culture coevolution hypothesis supposes a nutritional advantage of lactose digestion in pastoral populations. The calcium assimilation hypothesis suggests that carriers of the lactase persistence allele(s) (LCT*P) are favoured in high-latitude regions, where sunshine is insufficient to allow accurate vitamin-D synthesis. In this work, we test the validity of these two hypotheses on a large worldwide dataset of lactase persistence frequencies by using several complementary approaches. Methodology We first analyse the distribution of lactase persistence in various continents in relation to geographic variation, pastoralism levels, and the genetic patterns observed for other independent polymorphisms. Then we use computer simulations and a large database of archaeological dates for the introduction of domestication to explore the evolution of these frequencies in Europe according to different demographic scenarios and selection intensities. Conclusions Our results show that gene-culture coevolution is a likely hypothesis in Africa as high LCT*P frequencies are preferentially found in pastoral populations. In Europe, we show that population history played an important role in the diffusion of lactase persistence over the continent. Moreover, selection pressure on lactase persistence has been very high in the North-western part of the continent, by contrast to the South-eastern part where genetic drift alone can explain the observed frequencies. This selection pressure increasing with latitude is highly compatible with the calcium assimilation hypothesis while the gene-culture coevolution hypothesis cannot be ruled out if a positively selected lactase gene was carried at the front of the expansion wave during the Neolithic transition in Europe.

Mapping the uncharted territory of folk drama

Students of mumming and guising plays – the seasonal verse dramas performed for over 200 years throughout much of England, Scotland, and northern Ireland – have suffered from having too much information to work with. The first part of this poster presentation outlines and illustrates the situation. There are thousands of places where the plays are known to have been performed, and hundreds of texts have been collected. Furthermore, the plays show some tantalising similarities while simultaneously exhibiting the wide range of variation one would expect from orally transmitted dialogue. Until recently, scholars openly admitted to not knowing where to start with such a flood of material, to the extent that some dismissed the texts altogether as unimportant and irrelevant, focussing instead on the "actions". Fortunately, the introduction of computers has managed to break the impasse and is aiding the intellectual process. Part two shows a case study for one of the tools on the Master Mummers website - the Folk Play Scripts Explorer – which is based on a large database of digitised texts and a typology for individual lines. This allows researchers to search for lines, explore textual variants, and map their geographical distribution. This is yielding some interesting surprises. Seemingly trivial variations often turn out to have discrete distribution patterns, while it transpires that certain "ubiquitous" lines have restricted geographical ranges. Thus, the Scripts Explorer is providing novel insights into how the plays evolved and spread.

Preterm birth prediction : deriving stable and interpretable rules from high dimensional data

Preterm births occur at an alarming rate of 10-15%. Preemies have a higher risk of infant mortality, developmental retardation and long-term disabilities. Predicting preterm birth is difficult, even for the most experienced clinicians. The most well-designed clinical study thus far reaches a modest sensitivity of 18.2-24.2% at specificity of 28.6-33.3%. We take a different approach by exploiting databases of normal hospital operations. We aims are twofold: (i) to derive an easy-to-use, interpretable prediction rule with quantified uncertainties, and (ii) to construct accurate classifiers for preterm birth prediction. Our approach is to automatically generate and select from hundreds (if not thousands) of possible predictors using stability-aware techniques. Derived from a large database of 15,814 women, our simplified prediction rule with only 10 items has sensitivity of 62.3% at specificity of 81.5%.

Large scale monitoring of crowds and building utilisation: A new database and distributed approach

Public buildings and large infrastructure are typically monitored by tens or hundreds of cameras, all capturing different physical spaces and observing different types of interactions and behaviours. However to date, in large part due to limited data availability, crowd monitoring and operational surveillance research has focused on single camera scenarios which are not representative of real-world applications. In this paper we present a new, publicly available database for large scale crowd surveillance. Footage from 12 cameras for a full work day covering the main floor of a busy university campus building, including an internal and external foyer, elevator foyers, and the main external approach are provided; alongside annotation for crowd counting (single or multi-camera) and pedestrian flow analysis for 10 and 6 sites respectively. We describe how this large dataset can be used to perform distributed monitoring of building utilisation, and demonstrate the potential of this dataset to understand and learn the relationship between different areas of a building.

Report of the MPA Atlas and the interactive online database portal of the Bay of Bengal Large Marine Ecosystem

This report describes the process and details of developing an interactive online database portal for the BOBLME region.The MPA (Marine Protected Area) Atlas website, created by WorldFish was designed to provide public access to the latest information relevant to marine scientists, managers and conservationists. The main features include; BOBLME MPA database;interactive geospatial maps;and information about important habitats such as coral reefs,BOBLME boundaries and bathymetry.

A Fast Large Scale Iris Database Classification with Optimum-Path Forest Technique: A Case Study

Majority of biometric researchers focus on the accuracy of matching using biometrics databases, including iris databases, while the scalability and speed issues have been neglected. In the applications such as identification in airports and borders, it is critical for the identification system to have low-time response. In this paper, a graph-based framework for pattern recognition, called Optimum-Path Forest (OPF), is utilized as a classifier in a pre-developed iris recognition system. The aim of this paper is to verify the effectiveness of OPF in the field of iris recognition, and its performance for various scale iris databases. This paper investigates several classifiers, which are widely used in iris recognition papers, and the response time along with accuracy. The existing Gauss-Laguerre Wavelet based iris coding scheme, which shows perfect discrimination with rotary Hamming distance classifier, is used for iris coding. The performance of classifiers is compared using small, medium, and large scale databases. Such comparison shows that OPF has faster response for large scale database, thus performing better than more accurate but slower Bayesian classifier.

The European Large Subunit Ribosomal RNA Database

The European Large Subunit Ribosomal RNA Database compiles all complete or nearly complete large subunit ribosomal RNA sequences available from public sequence databases. These are provided in aligned format and the secondary structure, as derived by comparative sequence analysis, is included. Additional information about the sequences such as literature references and taxonomic information is also included. The database is available from our WWW server at http://rrna.uia.ac.be/lsu/.

Towards effective indexing for very large video sequence database

With rapid advances in video processing technologies and ever fast increments in network bandwidth, the popularity of video content publishing and sharing has made similarity search an indispensable operation to retrieve videos of user interests. The video similarity is usually measured by the percentage of similar frames shared by two video sequences, and each frame is typically represented as a high-dimensional feature vector. Unfortunately, high complexity of video content has posed the following major challenges for fast retrieval: (a) effective and compact video representations, (b) efficient similarity measurements, and (c) efficient indexing on the compact representations. In this paper, we propose a number of methods to achieve fast similarity search for very large video database. First, each video sequence is summarized into a small number of clusters, each of which contains similar frames and is represented by a novel compact model called Video Triplet (ViTri). ViTri models a cluster as a tightly bounded hypersphere described by its position, radius, and density. The ViTri similarity is measured by the volume of intersection between two hyperspheres multiplying the minimal density, i.e., the estimated number of similar frames shared by two clusters. The total number of similar frames is then estimated to derive the overall similarity between two video sequences. Hence the time complexity of video similarity measure can be reduced greatly. To further reduce the number of similarity computations on ViTris, we introduce a new one dimensional transformation technique which rotates and shifts the original axis system using PCA in such a way that the original inter-distance between two high-dimensional vectors can be maximally retained after mapping. An efficient B+-tree is then built on the transformed one dimensional values of ViTris' positions. Such a transformation enables B+-tree to achieve its optimal performance by quickly filtering a large portion of non-similar ViTris. Our extensive experiments on real large video datasets prove the effectiveness of our proposals that outperform existing methods significantly.

Pregnancy complications in hyperemesis-affected pregnancy:a large hospital database study

Objective: Vomiting in pregnancy is a common condition affecting 80% of pregnant women. Hyperemesis is at one end of the spectrum, seen in 0.5–2% of the pregnant population. Known factors such as nulliparity, younger age and high body mass indexare associated with an increased risk of this condition in the first trimester. Late pregnancy complications attributable to hyperemesis, the pathogenesis of which is poorly understood, have not been studied in large population-based studies in the United Kingdom. The objective of this study was to determine a plausible association between hyperemesis and pregnancy complications,such as pregnancy-related hypertension, gestational diabetes and liver problems in pregnancy, and the rates of elective (ElCS) and emergency caesarean section (EmCS). Methods: Using a database based on ICD-10 classification, anonymised data of admissions to a large multi-ethnic hospital in Manchester, UK between 2000 and 2012 were examined.Notwithstanding the obvious limitations with hospital database-based research, this large volume of datasets allows powerful studies of disease trends and complications.Results Between 2000 and 2012, 156 507 women aged 45 or under were admitted to hospital. Of these, 1111 women were coded for hyperemesis (0.4%). A greater proportion of women with hyperemesis than without hyperemesis were coded forhypertensive disorders in pregnancy such as pregnancy-induced hypertension, pre-eclampsia and eclampsia (2.7% vs 1.5%;P=0.001). The proportion of gestational diabetes and liver disorders in pregnancy was similar for both groups (diabetes:0.5% vs. 0.4%; P=0.945, liver disorders: 0.2% vs. 0.1%;P=0.662). Hyperemesis patients had a higher proportion of elective and emergency caesarean sections compared with the non-hyperemesis group (ElCS: 3.3% vs. 2%; P=0.002, EmCS: 5% vs.3%; P=0.00). Conclusions: There was a higher rate of emergency and elective caesarean section in women with hyperemesis, which could reflect the higher prevalence of pregnancy-related hypertensive disorders(but not diabetes or liver disorders) in this group. The factors contributing to the higher prevalence of hypertensive disorders arenot known, but these findings lead us to question whether there is a similar pathogenesis in the development of both the conditions and hence whether further study in this area is warranted.