Data provenance and management in radio astronomy: a stream computing approach

New approaches for data provenance and data management (DPDM) are required for mega science projects like the Square Kilometer Array, characterized by extremely large data volume and intense data rates, therefore demanding innovative and highly efficient computational paradigms. In this context, we explore a stream-computing approach with the emphasis on the use of accelerators. In particular, we make use of a new generation of high performance stream-based parallelization middleware known as InfoSphere Streams. Its viability for managing and ensuring interoperability and integrity of signal processing data pipelines is demonstrated in radio astronomy. IBM InfoSphere Streams embraces the stream-computing paradigm. It is a shift from conventional data mining techniques (involving analysis of existing data from databases) towards real-time analytic processing. We discuss using InfoSphere Streams for effective DPDM in radio astronomy and propose a way in which InfoSphere Streams can be utilized for large antennae arrays. We present a case-study: the InfoSphere Streams implementation of an autocorrelating spectrometer, and using this example we discuss the advantages of the stream-computing approach and the utilization of hardware accelerators

Dementia care in rural and remote areas: The first year of a CIHR New Emerging Team.

The Canadian Institutes of Health Research (CIHR) New Emerging Team (NET) program was designed to provide 5 years of support for the creation of new teams or the development of existing teams of investigators conducting collaborative multidisciplinary research in identified areas of focus. A NET group at the University of Saskatchewan was funded under the Cognitive Impairment in Aging focus for a project titled Strategies to Improve the Care of Persons with Dementia in Rural and Remote Areas. In this article we describe the research program developed by the team and implemented during the first year of our mandate

Automated telephone follow-up after breast cancer: an acceptability and feasibility pilot study

Traditional clinical follow-up after breast cancer is inefficient at detecting relapse and is poorly suited to detecting and ameliorating psychological problems. There is interest in developing more effective and efficient methods of follow-up. We report a prospective cohort study of the acceptability and feasibility of remote, automated telephone follow-up after breast cancer. Women with a history of breast cancer were approached at their annual follow-up visit. For participants, the follow-up questionnaire was administered on paper at baseline. In place of a clinic visit following year, the women completed the same questionnaire using an automated telephone system. All patients were given mammograms. A semi-structured interview was then conducted to assess the acceptability. The potential impact on clinic usage was assessed. In all, 110 of 121 women (91%) agreed to participate. Seventy-five patients (71%) completed follow-up using the new automated system 1 year later. Seventy-one of the 75 patients found the system easy to use. Forty-nine of the 75 (65.33%) liked the system and were happy to use it as their sole method of follow-up. A further 12% were happy to use it as part of their follow-up. In only 10.66% of participants were concerns raised which led to clinic attendance. Automated questionnaire-based telephone follow-up is acceptable to women and has the potential to reduce attendance at clinic. Further studies to validate this method further are planned

Women’s preferences for inpatient and outpatient priming for labour induction: a discrete choice experiment

BACKGROUND In many countries a high proportion of births begin as induced labours. Induction can be lengthy if cervical priming is required prior to induction. This usually occurs as an inpatient, however, an alternative is to allow women to go home after satisfactory fetal monitoring. The aim of this study was to assess the preferences of women for cervical priming for induction of labour in an outpatient or inpatient setting. METHOD A discrete choice experiment (DCE) was conducted alongside a randomised trial of inpatient and outpatient cervical priming (the OPRA trial) in two maternity hospitals in South Australia. 362 participants were included, and women’s preferences for cervical priming for induction of labour were assessed. RESULTS Women were willing to accept an extra 1.4 trips to hospital (2.4 trips total) and a total travel time of 73.3 minutes to be able to return to their own home while waiting for the priming to work. For enhanced inpatient services, women were willing to accept a total travel time of 54.7 minutes to have a private room with private bathroom while waiting for the priming to work. The overall benefit score for outpatient priming was 3.63, 3.59 for enhanced inpatient care and 2.89 for basic inpatient care, suggesting slightly greater preferences for outpatient priming. Preferences for outpatient priming increased when women could return to their own home (compared to other offsite accommodation), and decreased with more trips to hospital and longer travel time. CONCLUSIONS Our results suggest that outpatient priming was slightly more preferred than either enhanced inpatient priming or basic care; these results should be confirmed in different clinical settings. There may be merit in providing women information about both options in the future, as preferences varied according to the characteristics of the services on offer and the sociodemographic background of the woman.Kirsten Howard, Karen Gerard, Pamela Adelson, Robert Bryce, Chris Wilkinson, and Deborah Turnbul

The biogeography of the Amazonian tree flora

We describe the geographical variation in tree species composition across Amazonian forests and show how environmental conditions are associated with species turnover. Our analyses are based on 2023 forest inventory plots (1 ha) that provide abundance data for a total of 5188 tree species. Withinplot species composition reflected both local environmental conditions (especially soil nutrients and hydrology) and geographical regions. A broader-scale view of species turnover was obtained by interpolating the relative tree species abundances over Amazonia into 47,441 0.1-degree grid cells. Two main dimensions of spatial change in tree species composition were identified. The first was a gradient between western Amazonia at the Andean forelands (with young geology and relatively nutrient-rich soils) and central–eastern Amazonia associated with the Guiana and Brazilian Shields (with more ancient geology and poor soils). The second gradient was between the wet forests of the northwest and the drier forests in southern Amazonia. Isolines linking cells of similar composition crossed major Amazonian rivers, suggesting that tree species distributions are not limited by rivers. Even though some areas of relatively sharp species turnover were identified, mostly the tree species composition changed gradually over large extents, which does not support delimiting clear discrete biogeographic regions within Amazonia

Functional composition of the Amazonian tree flora and forests

Plants cope with the environment by displaying large phenotypic variation. Two spectra of global plant form and function have been identified: a size spectrum from small to tall species with increasing stem tissue density, leaf size, and seed mass; a leaf economics spectrum reflecting slow to fast returns on investments in leaf nutrients and carbon. When species assemble to communities it is assumed that these spectra are filtered by the environment to produce community level functional composition. It is unknown what are the main drivers for community functional composition in a large area such as Amazonia. We use 13 functional traits, including wood density, seed mass, leaf characteristics, breeding system, nectar production, fruit type, and root characteristics of 812 tree genera (5211 species), and find that they describe two main axes found at the global scale. At community level, the first axis captures not only the ‘fast-slow spectrum’, but also most size-related traits. Climate and disturbance explain a minor part of this variance compared to soil fertility. Forests on poor soils differ largely in terms of trait values from those on rich soils. Trait composition and soil fertility exert a strong influence on forest functioning: biomass and relative biomass production

Classifying data: the good, the bad, and the ugly

Data classification, namely the process of assigning a label or category to a data instance, is a one of a pre-requisites and pervasive steps in any Big Data application

Classifying data: the good, the bad, and the ugly

Data classification, namely the process of assigning a label or category to a data instance, is a one of a pre-requisites and pervasive steps in any Big Data application