ORCID Profile
0000-0001-5998-222X
Current Organisation
University of Melbourne
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Social Policy | Policy and Administration | Communication Technology and Digital Media Studies | Community Planning | Environmental Science and Management | Public Administration | Communications and Media Policy | Urban and Regional Studies (excl. Planning) | Atmospheric Aerosols | Climate Change Processes | Economic Models and Forecasting | Other Chemical Sciences | Ecological Impacts of Climate Change | Public Policy | Urban and Regional Planning | Environmental Chemistry (incl. Atmospheric Chemistry) | Conservation and Biodiversity | Urban Policy |
ANZSRC Socio-Economic Objective (SEO)
Regional Planning | Social Structure and Health | Electronic Information Storage and Retrieval Services | Atmospheric Processes and Dynamics | Economic Incentives for Environmental Protection | Urban Planning | Atmospheric Composition (incl. Greenhouse Gas Inventory) | Antarctic and Sub-Antarctic Air Quality | Public Services Policy Advice and Analysis | Communication not elsewhere classified | Flora, Fauna and Biodiversity at Regional or Larger Scales | Trade and Environment
Related Links
Publications
Investigating reproducibility and tracking provenance - A genomic workflow case study.
Publisher: Springer Science and Business Media LLC
Date: 12-07-2017
The Urban Data Re-use and Integration Platform for Australia: Design, Realisation, and Case Studies
Publisher: IEEE
Date: 08-2015
DOI: 10.1109/IRI.2015.24
Life science grid
Publisher: Springer Science and Business Media LLC
Date: 08-2007
A Platform for Exploring Social Media Analytics of Fast Food Restaurants in Australia
Publisher: Springer International Publishing
Date: 2018
Beyond a Disease Registry: An Integrated Virtual Environment for Adrenal Cancer Research
Publisher: Springer Science and Business Media LLC
Date: 09-09-2016
Trigger Characteristics of EUSIG-Defined Hypotensive Events
Publisher: Springer Vienna
Date: 2012
DOI: 10.1007/978-3-7091-0956-4_9
Abstract: Hypotension is a recognized -secondary insult after traumatic brain injury (TBI). There are many definitions of hypotension, an often cited ex le being the Brain Trauma Foundation's current (2007) "Guidelines for the Management of Severe Traumatic Brain Injury," which defines hypotension as systolic pressure <90 mmHg. However, this same document declares "The importance of mean arterial pressure, as opposed to systolic pressure should also be stressed, …." Our work shows that when using the Edinburgh University Secondary Insult Grades (EUSIG) definitions, which require monitoring of both systolic and mean arterial pressures, that most hypotensive events are in fact triggered by a breach of the mean arterial level of 70 mmHg. We suggest that close monitoring of mean arterial pressure would enable clinical teams to avoid more potentially damaging hypotensive events. An analysis of 100 patients from the Brain-IT database was performed. Using the EUSIG definitions, 2,081 events can be obtained by analyzing the systolic and mean blood pressures on a minute by minute basis. A software program was written to identify and classify the trigger pattern for each event. A categorical analysis of these triggering patterns has been carried out. Our analysis shows that most events are triggered by a drop in mean arterial pressure. In fact a large number of events (91%) occur where the mean arterial pressure is below the threshold limits whereas the systolic pressure does not cross the 90 mmHg limit at all. We suggest that more emphasis should be placed on closely monitoring mean arterial pressure as well as systolic pressure when trying to guard against hypotensive problems in traumatically brain injured patients. In future work we will study the underlying physiological mechanisms and attempt to further classify concomitant conditions that may be contributing to the onset of a hypotensive event.
Supporting security-oriented, collaborative nanoCMOS electronics research
Publisher: Springer Berlin Heidelberg
Date: 2008
A shibboleth-protected privilege management infrastructure for e-Science education
Publisher: IEEE
Date: 2006
E-Infrastructures supporting research into depression, self-harm and suicide
Publisher: The Royal Society
Date: 28-08-2010
Abstract: The Economic and Social Research Council (ESRC)-funded Data Management through e-Social Sciences (DAMES) project is investigating, as one of its four research themes, how research into depression, self-harm and suicide may be enhanced through the adoption of e-Science infrastructures and techniques. In this paper, we explore the challenges in supporting such research infrastructures and describe the distributed and heterogeneous datasets that need to be provisioned to support such research. We describe and demonstrate the application of an advanced user and security-driven infrastructure that has been developed specifically to meet these challenges in an on-going study into depression, self-harm and suicide.
Enabling cutting-edge semiconductor simulation through grid technology
Publisher: The Royal Society
Date: 28-06-2009
Abstract: The progressive scaling of complementary metal oxide semiconductor (CMOS) transistors drives the success of the global semiconductor industry. Detailed knowledge of transistor behaviour is necessary to overcome the many fundamental challenges faced by chip and systems designers. Grid technology has enabled the unavoidable statistical variations introduced by scaling to be examined in unprecedented detail. Over 200 000 transistors have been simulated, the results of which provide detailed insight into underlying physical processes. This paper outlines recent scientific results of the nanoCMOS project and describes the way in which the scientific goals have been reflected in the grid-based e-Infrastructure.
Trust realisation in multi-domain collaborative environments
Publisher: IEEE
Date: 2007
A Case Study in Big Data Analytics: Exploring Twitter Sentiment Analysis and the Weather
Publisher: Elsevier
Date: 2016
Prediction of random dopant induced threshold voltage fluctuations in NanoCMOS transistors
Publisher: IEEE
Date: 09-2008
Elements of a computational infrastructure for social simulation
Publisher: The Royal Society
Date: 28-08-2010
Abstract: Applications of simulation modelling in social science domains are varied and increasingly widespread. The effective deployment of simulation models depends on access to erse datasets, the use of analysis capabilities, the ability to visualize model outcomes and to capture, share and re-use simulations as evidence in research and policy-making. We describe three applications of e-social science that promote social simulation modelling, data management and visualization. An ex le is outlined in which the three components are brought together in a transport planning context. We discuss opportunities and benefits for the combination of these and other components into an e-infrastructure for social simulation and review recent progress towards the establishment of such an infrastructure.
Spatial Privacy Challenges in Social Networks
Publisher: Elsevier
Date: 2016
Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Message from the ISSR 2009 workshop chairs
Publisher: IEEE
Date: 2009
Role of Endocrine Gland-Derived Vascular Endothelial Growth Factor (EG-VEGF) and Its Receptors in Adrenocortical Tumors
Publisher: Springer Science and Business Media LLC
Date: 16-10-2015
Decentralized orchestration of data-centric workflows in Cloud environments
Publisher: Elsevier BV
Date: 09-2013
Identification of (near) real-time traffic congestion in the cities of Australia through twitter
Publisher: ACM
Date: 22-10-2015
Policy-driven patch management for distributed environments
Publisher: IEEE
Date: 2009
DOI: 10.1109/NSS.2009.67
Privacy-protected social media user trajectories calibration
Publisher: IEEE
Date: 10-2017
Exploring the high performance computing-enablement of a suite of gene-knockout based genetic engineering applications
Publisher: Springer International Publishing
Date: 2016
Towards a virtual research environment for language and literature researchers
Publisher: Elsevier BV
Date: 02-2013
The design of a flexible web-based analytical platform for urban research
Publisher: ACM
Date: 06-11-2012
Supporting decentralized, security focused dynamic virtual organizations across the grid
Publisher: IEEE
Date: 12-2006
From access and integration to mining of secure genomic data sets across the Grid
Publisher: Elsevier BV
Date: 03-2007
Glucocorticoid Excess in Patients with Pheochromocytoma Compared with Paraganglioma and Other Forms of Hypertension
Publisher: The Endocrine Society
Date: 07-2020
Abstract: Catecholamines and adrenocortical steroids are important regulators of blood pressure. Bidirectional relationships between adrenal steroids and catecholamines have been established but whether this is relevant to patients with pheochromocytoma is unclear. This study addresses the hypothesis that patients with pheochromocytoma and paraganglioma (PPGL) have altered steroid production compared with patients with primary hypertension. Multicenter cross-sectional study. Twelve European referral centers. Subjects included 182 patients with pheochromocytoma, 36 with paraganglioma and 270 patients with primary hypertension. Patients with primary aldosteronism (n = 461) and Cushing syndrome (n = 124) were included for additional comparisons. In patients with PPGLs, surgical resection of tumors. Differences in mass spectrometry–based profiles of 15 adrenal steroids between groups and after surgical resection of PPGLs. Relationships of steroids to plasma and urinary metanephrines and urinary catecholamines. Patients with pheochromocytoma had higher (P & .05) circulating concentrations of cortisol, 11-deoxycortisol, 11-deoxycorticosterone, and corticosterone than patients with primary hypertension. Concentrations of cortisol, 11-deoxycortisol, and corticosterone were also higher (P & .05) in patients with pheochromocytoma than with paraganglioma. These steroids correlated positively with plasma and urinary metanephrines and catecholamines in patients with pheochromocytoma, but not paraganglioma. After adrenalectomy, there were significant decreases in cortisol, 11-deoxycortisol, corticosterone, 11-deoxycorticosterone, aldosterone, and 18-oxocortisol. This is the first large study in patients with PPGLs that supports in a clinical setting the concept of adrenal cortical–medullary interactions involving an influence of catecholamines on adrenal steroids. These findings could have implications for the cardiovascular complications of PPGLs and the clinical management of patients with the tumors.
The design, development and application of a proxy credential auditing infrastructure for collaborative research
Publisher: Springer Berlin Heidelberg
Date: 2011
Identification and Validation of Real-Time Health Events through Social Media
Publisher: IEEE
Date: 12-2015
Towards an e-Infrastructure for urban research across Australia
Publisher: IEEE
Date: 12-2011
Federating distributed clinical data for the prediction of adverse hypotensive events
Publisher: The Royal Society
Date: 13-07-2009
Abstract: The ability to predict adverse hypotensive events, where a patient's arterial blood pressure drops to abnormally low (and dangerous) levels, would be of major benefit to the fields of primary and secondary health care, and especially to the traumatic brain injury domain. A wealth of data exist in health care systems providing information on the major health indicators of patients in hospitals (blood pressure, temperature, heart rate, etc.). It is believed that if enough of these data could be drawn together and analysed in a systematic way, then a system could be built that will trigger an alarm predicting the onset of a hypotensive event over a useful time scale, e.g. half an hour in advance. In such circumstances, avoidance measures can be taken to prevent such events arising. This is the basis for the Avert-IT project ( www.avert-it.org ), a collaborative EU-funded project involving the construction of a hypotension alarm system exploiting Bayesian neural networks using techniques of data federation to bring together the relevant information for study and system development.
Semantic privacy-preserving framework for electronic health record linkage
Publisher: Elsevier BV
Date: 07-2017
The Australasian diabetes data network: First national audit of children and adolescents with type 1 diabetes
Publisher: AMPCo
Date: 02-2017
DOI: 10.5694/MJA16.00737
Abstract: To assess glycaemic control, anthropometry and insulin regimens in a national s le of Australian children and adolescents with type 1 diabetes. Cross-sectional analysis of de-identified, prospectively collected data from the Australasian Diabetes Data Network (ADDN) registry. Five paediatric diabetes centres in New South Wales, Queensland, South Australia, Victoria and Western Australia. Children and adolescents (aged 18 years or under) with type 1 diabetes of at least 12 months' duration for whom data were added to the ADDN registry during 2015. Glycaemic control was assessed by measuring haemoglobin A1c (HbA1c) levels. Body mass index standard deviation scores (BMI-SDS) were calculated according to the CDC-2000 reference overweight and obesity were defined by International Obesity Task Force guidelines. Insulin regimens were classified as twice-daily injections (BD), multiple daily injections (MDI at least three injection times per day), or continuous subcutaneous insulin infusion (CSII). The mean age of the 3279 participants was 12.8 years (SD, 3.7), mean diabetes duration was 5.7 years (SD, 3.7), and mean HbA1c level 67 mmol/mol (SD, 15) only 27% achieved the national HbA1c target of less than 58 mmol/mol. The mean HbA1c level was lower in children under 6 (63 mmol/mol) than in adolescents (14-18 years 69 mmol/mol). Mean BMI-SDS for all participants was 0.6 (SD, 0.9) 33% of the participants were overweight or obese. 44% were treated with CSII, 38% with MDI, 18% with BD. Most Australian children and adolescents with type 1 diabetes are not meeting the recognised HbA1c target. The prevalence of overweight and obesity is high. There is an urgent need to identify barriers to achieving optimal glycaemic control in this population.
A review of grid authentication and authorization technologies and support for federated access control
Publisher: Association for Computing Machinery (ACM)
Date: 2011
Abstract: Grid computing facilitates resource sharing typically to support distributed virtual organizations (VO). The multi-institutional nature of a grid environment introduces challenging security issues, especially with regard to authentication and authorization. This article presents a state-of-the-art review of major grid authentication and authorization technologies. In particular we focus upon the Internet2 Shibboleth technologies and their use to support federated authentication and authorization to support interinstitutional sharing of remote grid resources that are subject to access control. We outline the architecture, features, advantages, limitations, projects, and applications of Shibboleth in a grid environment. The evidence suggests that Shibboleth meets many of the demands of the research community in accessing and using grid resources.
A GDPR-Compliant Dynamic Consent Mobile Application for the Australasian Type-1 Diabetes Data Network
Publisher: MDPI AG
Date: 08-02-2023
DOI: 10.3390/HEALTHCARE11040496
Abstract: Australia has a high prevalence of diabetes, with approximately 1.2 million Australians diagnosed with the disease. In 2012, the Australasian Diabetes Data Network (ADDN) was established with funding from the Juvenile Diabetes Research Foundation (JDRF). ADDN is a national diabetes registry which captures longitudinal information about patients with type-1 diabetes (T1D). Currently, the ADDN data are directly contributed from 42 paediatric and 17 adult diabetes centres across Australia and New Zealand, i.e., where the data are pre-existing in hospital systems and not manually entered into ADDN. The historical data in ADDN have been de-identified, and patients are initially afforded the opportunity to opt-out of being involved in the registry however, moving forward, there is an increased demand from the clinical research community to utilise fully identifying data. This raises additional demands on the registry in terms of security, privacy, and the nature of patient consent. General Data Protection Regulation (GDPR) is an increasingly important mechanism allowing in iduals to have the right to know about their health data and what those data are being used for. This paper presents a mobile application being designed to support the ADDN data collection and usage processes and aligning them with GDPR. The app utilises Dynamic Consent—an informed specific consent model, which allows participants to view and modify their research-driven consent decisions through an interactive interface. It focuses specifically on supporting dynamic opt-in consent to both the registry and to associated sub-projects requesting access to and use of the patient data for research purposes.
Designing privacy for scalable electronic healthcare linkage
Publisher: IEEE
Date: 2009
DOI: 10.1109/CSE.2009.323
Early Warning of EUSIG-Defined Hypotensive Events Using a Bayesian Artificial Neural Network
Publisher: Springer Vienna
Date: 2012
DOI: 10.1007/978-3-7091-0956-4_8
Abstract: Hypotension is recognized as a potentially damaging secondary insult after traumatic brain injury. Systems to give clinical teams some early warning of likely hypotensive instability could be added to the range of existing techniques used in the management of this group of patients. By using the Edinburgh University Secondary Insult Grades (EUSIG) definitions for -hypotension (systolic arterial pressure <90 mmHg OR mean arterial -pressure <70 mmHg) we collected a group of ∼2,000 events by analyzing the Brain-IT database. We then constructed a Bayesian Artificial Neural Network (an advanced statistical modeling technique) that is able to provide some early warning when trained on this previously collected demographic and physiological data. Using EUSIG defined event data from the Brain-IT database, we identified a Bayesian artificial neural network (BANN) topology and constructed a series of datasets using a group of clinically guided input variables. This allowed us to train a BANN, which was then tested on an unseen set of patients from the Brain-IT database. The initial tests used a particularly harsh assessment criterion whereby a true positive prediction was only allowed if the BANN predicted an upcoming event to the exact minute. We have now developed the system to the point where it is about to be used in a two-stage Phase II clinical trial and we are also researching a more realistic assessment technique. We have constructed a BANN that is able to provide early warning to the clinicians based on a model that uses information from the physiological inputs systolic and mean arterial pressure and heart rate and demographic variables age and gender. We use 15-min SubWindows starting at 15 and 30 min before an event and process mean, slope and standard deviations. Based on 10 simulation runs, our current sensitivity is 36.25% (SE 1.31) with a specificity of 90.82% (SE 0.85). Initial results from a Phase I clinical study shows a model sensitivity of 40.95% (SE 6%) and specificity of 86.46% (SE 3%) Although this figure is low it is considered clinically useful for this dangerous condition, provided the false positive rate can be kept sufficiently low as to be practical in an intensive care environment. We have shown that using advanced statistical modeling techniques can provide clinical teams with useful information that will assist clinical care.
Optimizing electronic standard cell libraries for variability tolerance through the nano-CMOS grid
Publisher: The Royal Society
Date: 28-08-2010
Abstract: The project Meeting the Design Challenges of nano-CMOS Electronics ( www.nanocmos.ac.uk ) was funded by the Engineering and Physical Sciences Research Council to tackle the challenges facing the electronics industry caused by the decreasing scale of transistor devices, and the inherent variability that this exposes in devices and in the circuits and systems in which they are used. The project has developed a grid-based solution that supports the electronics design process, incorporating usage of large-scale high-performance computing (HPC) resources, data and metadata management and support for fine-grained security to protect commercially sensitive datasets. In this paper, we illustrate how the nano-CMOS (complementary metal oxide semiconductor) grid has been applied to optimize transistor dimensions within a standard cell library. The goal is to extract high-speed and low-power circuits which are more tolerant of the random fluctuations that will be prevalent in future technology nodes. Using statistically enhanced circuit simulation models based on three-dimensional atomistic device simulations, a genetic algorithm is presented that optimizes the device widths within a circuit using a multi-objective fitness function exploiting the nano-CMOS grid. The results show that the impact of threshold voltage variation can be reduced by optimizing transistor widths, and indicate that a similar method could be extended to the optimization of larger circuits.
Cwlprov: Interoperable Retrospective Provenance Capture And Computational Analysis Sharing
Publisher: Zenodo
Date: 2018
Formalising dynamic trust negotiations in decentralised collaborative e-health systems
Publisher: IEEE
Date: 2007
DOI: 10.1109/ARES.2007.91
The European Disorder of Sex Development Registry: A virtual research environment
Publisher: S. Karger AG
Date: 2010
DOI: 10.1159/000313434
Abstract: Disorders of sex development (DSD) are a rare group of conditions which require further research. Effective research into understanding the aetiology, as well as long-term outcome of these rare conditions, requires multicentre collaboration often across national boundaries. The EU-funded EuroDSD programme (www.eurodsd.eu) is one such collaboration involving clinical centres and clinical and genetic experts across Europe. At the heart of the EuroDSD collaboration is a European DSD registry and a targeted virtual research environment (VRE) that supports the sharing of DSD data. Security, ethics and information governance are cornerstones of this infrastructure. This paper describes the infrastructure that has been developed, the inherent challenges in security, availability and dependability that must be overcome for the enterprise to succeed and provides a s le of the data that are stored in the registry along with a summary analysis of the current data sets.
A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity (Preprint)
Publisher: JMIR Publications Inc.
Date: 02-06-2018
Abstract: here are disadvantages—largely related to cost, participant burden, and missing data—associated with traditional electronic methods of assessing drinking behavior in real time. This potentially diminishes some of the advantages—namely, enhanced s le size and ersity—typically attributed to these methods. Download of smartphone apps to participants’ own phones might preserve these advantages. However, to date, few researchers have detailed the process involved in developing custom-built apps for use in the experimental arena or explored methodological concerns regarding compliance and reactivity. he aim of this study was to describe the process used to guide the development of a custom-built smartphone app designed to capture alcohol intake behavior in the healthy population. Methodological issues related to compliance with and reactivity to app study protocols were examined. Specifically, we sought to investigate whether hazard and nonhazard drinkers would be equally compliant. We also explored whether reactivity in the form of a decrease in drinking or reduced responding (“yes”) to drinking behavior would emerge as a function of hazard or nonhazard group status. n iterative development process that included elements typical of agile software design guided the creation of the CNLab-A app. Healthy in iduals used the app to record alcohol consumption behavior each day for 21 days. Submissions were either event- or notification-contingent. We considered the size and ersity of the s le, and assessed the data for evidence of app protocol compliance and reactivity as a function of hazard and nonhazard drinker status. NLab-A yielded a large and erse s le (N=671, mean age 23.12). On average, participants submitted data on 20.27 (SD 1.88) out of 21 days (96.5%, 20.27/21). Both hazard and nonhazard drinkers were highly compliant with app protocols. There were no differences between groups in terms of number of days of app use (P=.49) or average number of app responses (P=.54). Linear growth analyses revealed hazardous drinkers decreased their alcohol intake by 0.80 standard drinks over the 21-day experimental period. There was no change to the drinking of nonhazard in iduals. Both hazard and nonhazard drinkers showed a slight decrease in responding (“yes”) to drinking behavior over the same period. martphone apps participants download to their own phones are effective and methodologically sound means of obtaining alcohol consumption information for research purposes. Although further investigation is required, such apps might, in future, allow for a more thorough examination of the antecedents and consequences of drinking behavior.
Benchmarking sentiment analysis approaches on the cloud
Publisher: IEEE
Date: 12-2017
Security-oriented workflows for the Social Sciences
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/NSS.2010.72
Challenges of large-scale biomedical workflows on the cloud-a case study on the need for reproducibility of results
Publisher: IEEE
Date: 06-2015
DOI: 10.1109/CBMS.2015.28
: an EU Register for Alstrom, Bardet Biedl and other rare syndromes.
Publisher: Springer Science and Business Media LLC
Date: 11-2012
Implementing MapReduce over language and literature data over the UK National Grid Service
Publisher: IEEE
Date: 09-2011
Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv
Publisher: Zenodo
Date: 2019
Accident Black Spot Identification and Verification through Social Media
Publisher: IEEE
Date: 12-2015
Biochemical diagnosis of phaeochromocytoma using plasma-free normetanephrine, metanephrine and methoxytyramine: Importance of supine sampling under fasting conditions
Publisher: Wiley
Date: 17-10-2014
DOI: 10.1111/CEN.12327
Abstract: To document the influences of blood s ling under supine fasting versus seated nonfasting conditions on diagnosis of phaeochromocytomas and paragangliomas (PPGL) using plasma concentrations of normetanephrine, metanephrine and methoxytyramine. Biochemical testing for PPGL was performed on 762 patients at six centres, two of which complied with requirements for supine s ling after an overnight fast and four of which did not. Phaeochromocytomas and paragangliomas were found in 129 patients (67 noncompliant, 62 compliant) and not in 633 patients (195 noncompliant, 438 compliant). Plasma concentrations of normetanephrine and methoxytyramine did not differ between compliant and noncompliant s ling conditions in patients with PPGL but were 49-51% higher in patients without PPGL s led under noncompliant compared with compliant conditions. The 97·5 percentiles of distributions were also higher under noncompliant compared with compliant conditions for normetanephrine (1·29 vs 0·79 nmol/l), metanephrine (0·49 vs 0·41 nmol/l) and methoxytyramine (0·42 vs 0·18 nmol/l). Use of upper cut-offs established from seated nonfasting s ling conditions resulted in substantially decreased diagnostic sensitivity (98% vs 85%). In contrast, use of upper cut-offs established from supine fasting conditions resulted in decreased diagnostic specificity for testing under noncompliant compared with compliant conditions (71% vs 95%). High diagnostic sensitivity of plasma normetanephrine, metanephrine and methoxytyramine for the detection of PPGL can only be guaranteed using upper cut-offs of reference intervals established with blood s ling under supine fasting conditions. With such cut-offs, s ling under seated nonfasting conditions can lead to a 5·7-fold increase in false-positive results necessitating repeat s ling under supine fasting conditions.
Deaths by suicide and their relationship with general and psychiatric hospital discharge: 30-Year record linkage study
Publisher: Royal College of Psychiatrists
Date: 04-2014
DOI: 10.1192/BJP.BP.112.122374
Abstract: Studies have rarely explored suicides completed following discharge from both general and psychiatric hospital settings. Such research might identify additional opportunities for intervention. To identify and summarise Scottish psychiatric and general hospital records for in iduals who have died by suicide. A linked data study of deaths by suicide, aged ⩾15 years from 1981 to 2010. This study reports on a UK data-set of in iduals who died by suicide ( n = 16 411), of whom 66% ( n = 10 907) had linkable previous hospital records. Those who died by suicide were 3.1 times more frequently last discharged from general than from psychiatric hospitals 24% of deaths occurred within 3 months of hospital discharge (58% of these from a general hospital). Only 14% of those discharged from a general hospital had a recorded psychiatric diagnosis at last visit an additional 19% were found to have a previous lifetime psychiatric diagnosis. Median time between last discharge and death was fourfold greater in those without a psychiatric history. Diagnoses also revealed that less than half of those last discharged from general hospital had had a main diagnosis of ‘injury or poisoning’. Suicide prevention activity, including a better psychiatric evaluation of patients within general hospital settings deserves more attention. Improved information flow between secondary and primary care could be facilitated by exploiting electronic records of previous psychiatric diagnoses.
A Distributed Clinical Data Platform for Physiological Studies in the Brain Trauma Domain
Publisher: IEEE
Date: 12-2010
SMASH: A Cloud-Based Architecture for Big Data Processing and Visualization of Traffic Data
Publisher: IEEE
Date: 12-2015
Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort
Publisher: Informa UK Limited
Date: 12-04-2023
The formal, tool supported development of real time systems
Publisher: IEEE
Date: 2004
Estimating crowd sizes through social media
Publisher: IEEE
Date: 03-2016
Security oriented e-infrastructures supporting neurological research and clinical trials
Publisher: IEEE
Date: 2007
My ever changing moods: Sentiment-based event detection on the cloud
Publisher: ACM
Date: 06-12-2016
Federated authentication and authorisation in the Social Science domain
Publisher: IEEE
Date: 08-2011
DOI: 10.1109/ARES.2011.83
Dynamic trust negotiation for flexible e-health collaborations
Publisher: ACM
Date: 29-01-2008
SMPD1 Mutation Update: Database and Comprehensive Analysis of Published and Novel Variants
Publisher: Hindawi Limited
Date: 12-2015
DOI: 10.1002/HUMU.22923
Abstract: Niemann-Pick Types A and B (NPA/B) diseases are autosomal recessive lysosomal storage disorders caused by the deficient activity of acid sphingomyelinase (ASM) because of the mutations in the SMPD1 gene. Here, we provide a comprehensive updated review of already reported and newly identified SMPD1 variants. Among them, 185 have been found in NPA/B patients. Disease-causing variants are equally distributed along the SMPD1 gene most of them are missense (65.4%) or frameshift (19%) mutations. The most frequently reported mutation worldwide is the p.R610del, clearly associated with an attenuated NP disease type B phenotype. The available information about the impact of 52 SMPD1 variants on ASM mRNA and/or enzymatic activity has been collected and whenever possible, phenotype/genotype correlations were established. In addition, we created a locus-specific database easily accessible at enes that catalogs the 417 SMPD1 variants reported to date and provides data on their in silico predicted effects on ASM protein function or mRNA splicing. The information reviewed in this article, providing new insights into the genotype henotype correlation, is extremely valuable to facilitate diagnosis and genetic counseling of families affected by NPA/B.
Are tiled display walls needed for astronomy?
Publisher: Cambridge University Press (CUP)
Date: 2014
DOI: 10.1017/PASA.2014.29
Abstract: Clustering commodity displays into a Tiled Display Wall (TDW) provides a cost-effective way to create an extremely high resolution display, capable of approaching the image sizes now generated by modern astronomical instruments. Many research institutions have constructed TDWs on the basis that they will improve the scientific outcomes of astronomical imagery. We test this concept by presenting s le images to astronomers and non-astronomers using a standard desktop display (SDD) and a TDW. These s les include standard English words, wide field galaxy surveys and nebulae mosaics from the Hubble telescope. Our experiments show that TDWs provide a better environment than SDDs for searching for small targets in large images. They also show that astronomers tend to be better at searching images for targets than non-astronomers, both groups are generally better when employing physical navigation as opposed to virtual navigation, and that the combination of two non-astronomers using a TDW rivals the experience of a single astronomer. However, there is also a large distribution in aptitude amongst the participants and the nature of the content also plays a significant role in success.
Supporting UK-wide e-clinical trials and studies
Publisher: ACM
Date: 29-01-2008
Estimating micro-populations through social media analytics
Publisher: Springer Science and Business Media LLC
Date: 19-04-2017
Distributed BLAST in a grid computing context
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11560500_22
Supporting federated multi-authority security models
Publisher: IEEE
Date: 05-2011
Grid infrastructures for secure access to and use of bioinformatics data: Experiences from the BRIDGES project
Publisher: IEEE
Date: 2006
DOI: 10.1109/ARES.2006.69
A rapid cryptography algorithm based on chaos and public key
Publisher: International Academy Publishing (IAP)
Date: 27-04-2012
Advanced security for virtual organizations: The pros and cons of centralized vs decentralized security models
Publisher: IEEE
Date: 05-2008
Semantic-based privacy protection of electronic health records for collaborative research
Publisher: IEEE
Date: 08-2017
Towards a grid-enabled simulation framework for nano-CMOS electronics
Publisher: IEEE
Date: 12-2007
Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv
Publisher: Zenodo
Date: 2018
Enhanced gender identification through social media analytics on the cloud
Publisher: IEEE
Date: 12-2017
Application of mobile games to support clinical data collection for patients with niemann-pick disease
Publisher: IEEE
Date: 06-2015
DOI: 10.1109/CBMS.2015.9
Enabling cutting-edge semiconductor simulation through grid technology
Publisher: Springer Berlin Heidelberg
Date: 2010
Cwlprov - Interoperable Retrospective Provenance Capture And Its Challenges
Publisher: Zenodo
Date: 2018
Cwlprov - Interoperable Retrospective Provenance Capture And Its Challenges
Publisher: Zenodo
Date: 2018
Capturing Interoperable Reproducible Workflows With Common Workflow Language
Publisher: Zenodo
Date: 2018
Capturing Interoperable Reproducible Workflows With Common Workflow Language
Publisher: Zenodo
Date: 2018
Protecting the location privacy of mobile social media users
Publisher: IEEE
Date: 12-2016
TruXy: Trusted storage cloud for scientific workflows
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Index-based symmetric DNA encryption algorithm
Publisher: IEEE
Date: 10-2011
Architecting specifications for test case generation
Publisher: IEEE
Date: 2003
E-Enabling international cancer research: Lessons being learnt in the ENS@T-CANCER project
Publisher: IEEE
Date: 10-2013
A clinical grid infrastructure supporting adverse hypotensive event prediction
Publisher: IEEE
Date: 2009
Tool support for security-oriented virtual research collaborations
Publisher: IEEE
Date: 2009
DOI: 10.1109/ISPA.2009.49
Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Privacy Preserving Geo-Linkage in the Big Urban Data Era
Publisher: Springer Science and Business Media LLC
Date: 30-06-2016
Security attribute aggregation models for e-Research collaborations
Publisher: IEEE
Date: 06-2012
Integrated trouble management to support service quality assurance in a multi-provider context
Publisher: Springer Berlin Heidelberg
Date: 2000
The brain monitoring with Information Technology (BrainIT) collaborative network: EC feasibility study results and future direction
Publisher: Springer Science and Business Media LLC
Date: 07-2010
DOI: 10.1007/S00701-010-0719-1
Abstract: The BrainIT group works collaboratively on developing standards for collection and analyses of data from brain-injured patients and to facilitate a more efficient infrastructure for assessing new health care technology with the primary objective of improving patient care. European Community (EC) funding supported meetings over a year to discuss and define a core dataset to be collected from patients with traumatic brain injury using IT-based methods. We now present the results of a subsequent EC-funded study with the aim of testing the feasibility of collecting this core dataset across a number of European sites and discuss the future direction of this research network. Over a 3-year period, data collection client- and web-server-based tools were developed and core data (grouped into nine categories) were collected from 200 head-injured patients by local nursing staff in 22 European neuro-intensive care centres. Data were uploaded through the BrainIT website and random s les of received data were selected automatically by computer for validation by data validation staff against primary sources held in each local centre. Validated data were compared with originally transmitted data and percentage error rates calculated by data category. Feasibility was assessed in terms of the proportion of missing data, accuracy of data collected and limitations reported by users of the IT methods. Thirteen percent of data files required cleaning. Thirty "one-off" demographic and clinical data elements had significant amounts of missing data (>15%). Validation staff conducted 19,461 comparisons between uploaded database data with local data sources and error rates were commonly less than or equal to 6%, the exception being the surgery data class where an unacceptably high error rate of 34% was found. Nearly 10,000 therapies were successfully recorded with start-times but approximately a third had inaccurate or missing "end-times" which limits the analysis of duration of therapy. Over 40,000 events and procedures were recorded but events with long durations (such as transfers) were more likely to have end-times missed. The BrainIT core dataset is a rich dataset for hypothesis generation and post hoc analyses, provided that studies avoid known limitations in the dataset. Limitations in the current IT-based data collection tools have been identified and have been addressed. In order for multi-centre data collection projects to be viable, the resource intensive validation procedures will require a more automated process and this may include direct electronic access to hospital-based clinical data sources for both validation purposes and for minimising the duplication of data entry. This type of infrastructure may foster and facilitate the remote monitoring of patient management and protocol adherence in future trials of patient management and monitoring.
An accurate statistical analysis of random dopant induced variability in 140,000 13nm MOSFETs
Publisher: IEEE
Date: 06-2008
Service-oriented workflow executability from a security perspective
Publisher: Springer International Publishing
Date: 2016
Determinants of Cardiovascular Risk in 7000 Youth With Type 1 Diabetes in the Australasian Diabetes Data Network
Publisher: The Endocrine Society
Date: 30-10-2020
Abstract: Cardiovascular disease occurs prematurely in type 1 diabetes. The additional risk of overweight is not well characterized. The primary aim was to measure the impact of body mass index (BMI) in youth with type 1 diabetes on cardiovascular risk factors. The secondary aim was to identify other determinants of cardiovascular risk. Observational longitudinal study of 7061 youth with type 1 diabetes followed for median 7.3 (interquartile range [IQR] 4-11) years over 41 (IQR 29-56) visits until March 2019. 15 tertiary care diabetes centers in the Australasian Diabetes Data Network. Participants were aged 2 to 25 years at baseline, with at least 2 measurements of BMI and blood pressure. Standardized systolic and diastolic blood pressure scores and non–high-density lipoprotein (HDL) cholesterol were co-primary outcomes. Urinary albumin/creatinine ratio was the secondary outcome. BMI z-score related independently to standardized blood pressure z- scores and non-HDL cholesterol. An increase in 1 BMI z-score related to an average increase in systolic/diastolic blood pressure of 3.8/1.4 mmHg and an increase in non-HDL cholesterol (coefficient + 0.16 mmol/L, 95% confidence interval [CI], 0.13-0.18 P & 0.001) and in low-density lipoprotein (LDL) cholesterol. Females had higher blood pressure z-scores, higher non-HDL and LDL cholesterol, and higher urinary albumin/creatinine than males. Indigenous youth had markedly higher urinary albumin/creatinine (coefficient + 2.15 mg/mmol, 95% CI, 1.27-3.03 P & 0.001) and higher non-HDL cholesterol than non-Indigenous youth. Continuous subcutaneous insulin infusion was associated independently with lower non-HDL cholesterol and lower urinary albumin/creatinine. BMI had a modest independent effect on cardiovascular risk. Females and Indigenous Australians in particular had a more adverse risk profile.
Modeling coordinated multiple views of heterogeneous data cubes for urban visual analytics
Publisher: Informa UK Limited
Date: 08-08-2015
The Australian Data-Driven Urban Research Platform: Systems Paper
Publisher: Wiley
Date: 02-2016
Monogenic diabetes syndromes: Locus-specific databases for Alström, Wolfram, and Thiamine-responsive megaloblastic anemia
Publisher: Hindawi Limited
Date: 06-2017
DOI: 10.1002/HUMU.23233
A lightweight authorization mechanism for spatially enabled health data services
Publisher: ACM
Date: 05-11-2013
The design and benchmarking of a Cloud-based platform for processing and visualization of traffic data
Publisher: IEEE
Date: 02-2017
Australasian diabetes data network: Building a collaborative resource
Publisher: SAGE Publications
Date: 10-07-2016
Abstract: Australasia is a region with a high incidence of type 1 diabetes (T1D). There are approximately 140 000 in iduals with T1D, and of these 10 000 are children. Although the region covers a huge geographical area, most children with T1D are managed by tertiary academic centers in the major capital cities. Local longitudinal data collection has been in place for several decades in most of these centers, however ongoing national data collection had not been attempted. In 2012, with funding from the Juvenile Diabetes Research Foundation (JDRF) Australian Type 1 Clinical Research Network, a national collaboration was formed to provide ongoing longitudinal collection of T1D patient characteristics and outcomes. The initial phase of this collaboration, known as the Australasian Diabetes Data Network or ADDN, was led by the Australasian Paediatric Endocrine Group (APEG) and thus included only children and adolescents. The next phase, commenced in 2016, will see adult sites added through collaboration with the Australian Diabetes Society (ADS). As most of the initial centers had longitudinal data collection in place the model employed was to establish the transfer and collation of data already collected into a central database. This required the definition of a common data dictionary, ethics and governance procedures and the employment of technology to enable efficient and accurate information transfer and accessibility. The ADDN project received widespread support from the diabetes research community with study investigators representing 20 pediatric centers across the region. The first phase focused on the 5 largest centers and at the end of 2015 these centers were uploading patient data to the ADDN database on a quarterly basis resulting in 5271 patients with 83 506 diabetes visits.
A federated data collection application for the prediction of adverse hypotensive events
Publisher: IEEE
Date: 11-2009
Towards a virtual research environment for language and literature researchers
Publisher: IEEE
Date: 12-2010
Towards a virtual research environment for international adrenal cancer research
Publisher: Elsevier BV
Date: 2011
The Australian Digital Observatory: Social Media Collection, Discovery and Analytics at Scale
Publisher: Springer Nature Singapore
Date: 2023
A security-oriented workflow framework for collaborative environments
Publisher: IEEE
Date: 08-2017
Security-enabled enactment of decentralized workflows
Publisher: ACM
Date: 20-07-2016
The Australian urban intelligence network supporting smart cities
Publisher: Springer International Publishing
Date: 2015
A performance comparison of container-based technologies for the Cloud
Publisher: Elsevier BV
Date: 03-2017
A data-driven urban research environment for Australia
Publisher: IEEE
Date: 10-2012
Hybrid Cloud resource provisioning policy in the presence of resource failures
Publisher: IEEE
Date: 12-2012
Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv
Publisher: Zenodo
Date: 2019
Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv
Publisher: Oxford University Press (OUP)
Date: 11-2019
DOI: 10.1093/GIGASCIENCE/GIZ095
Abstract: The automation of data analysis in the form of scientific workflows has become a widely adopted practice in many fields of research. Computationally driven data-intensive experiments using workflows enable automation, scaling, adaptation, and provenance support. However, there are still several challenges associated with the effective sharing, publication, and reproducibility of such workflows due to the incomplete capture of provenance and lack of interoperability between different technical (software) platforms. Based on best-practice recommendations identified from the literature on workflow design, sharing, and publishing, we define a hierarchical provenance framework to achieve uniformity in provenance and support comprehensive and fully re-executable workflows equipped with domain-specific information. To realize this framework, we present CWLProv, a standard-based format to represent any workflow-based computational analysis to produce workflow output artefacts that satisfy the various levels of provenance. We use open source community-driven standards, interoperable workflow definitions in Common Workflow Language (CWL), structured provenance representation using the W3C PROV model, and resource aggregation and sharing as workflow-centric research objects generated along with the final outputs of a given workflow enactment. We demonstrate the utility of this approach through a practical implementation of CWLProv and evaluation using real-life genomic workflows developed by independent groups. The underlying principles of the standards utilized by CWLProv enable semantically rich and executable research objects that capture computational workflows with retrospective provenance such that any platform supporting CWL will be able to understand the analysis, reuse the methods for partial reruns, or reproduce the analysis to validate the published findings.
Cloud Docs: Secure Scalable Document Sharing on Public Clouds
Publisher: IEEE
Date: 06-2015
Cwlprov - Interoperable Retrospective Provenance Capture And Its Challenges
Publisher: Zenodo
Date: 2018
Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv
Publisher: Zenodo
Date: 2019
Decentralized orchestration of data-centric workflows using the object modeling system
Publisher: IEEE
Date: 05-2012
Federating distributed clinical data for the prediction of adverse hypotensive events
Publisher: The Royal Society
Date: 28-08-2009
User-oriented security supporting inter-disciplinary life science research across the grid
Publisher: Springer Science and Business Media LLC
Date: 08-2007
Shibboleth-based access to and usage of Grid resources
Publisher: IEEE
Date: 2006
Secure, performance-oriented data management for nanoCMOS Electronics
Publisher: IEEE
Date: 12-2008
Prevalence of Celiac Disease in 52,721 Youth With Type 1 Diabetes: International Comparison Across Three Continents.
Publisher: American Diabetes Association
Date: 25-05-2017
DOI: 10.2337/DC16-2508
Abstract: Celiac disease (CD) has a recognized association with type 1 diabetes. We examined international differences in CD prevalence and clinical characteristics of youth with coexisting type 1 diabetes and CD versus type 1 diabetes only. Data sources were as follows: the Prospective Diabetes Follow-up Registry (DPV) (Germany/Austria) the T1D Exchange Clinic Network (T1DX) (U.S.) the National Paediatric Diabetes Audit (NPDA) (U.K. [England/Wales]) and the Australasian Diabetes Data Network (ADDN) (Australia). The analysis included 52,721 youths & years of age with a clinic visit between April 2013 and March 2014. Multivariable linear and logistic regression models were constructed to analyze the relationship between outcomes (HbA1c, height SD score [SDS], overweight/obesity) and type 1 diabetes/CD versus type 1 diabetes, adjusting for sex, age, and diabetes duration. Biopsy-confirmed CD was present in 1,835 youths (3.5%) and was diagnosed at a median age of 8.1 years (interquartile range 5.3–11.2 years). Diabetes duration at CD diagnosis was & year in 37% of youths, & –2 years in 18% of youths, & –5 years in 23% of youths, and & years in 17% of youths. CD prevalence ranged from 1.9% in the T1DX to 7.7% in the ADDN and was higher in girls than boys (4.3% vs. 2.7%, P & 0.001). Children with coexisting CD were younger at diabetes diagnosis compared with those with type 1 diabetes only (5.4 vs. 7.0 years of age, P & 0.001) and fewer were nonwhite (15 vs. 18%, P & 0.001). Height SDS was lower in those with CD (0.36 vs. 0.48, adjusted P & 0.001) and fewer were overweight/obese (34 vs. 37%, adjusted P & 0.001), whereas mean HbA1c values were comparable: 8.3 ± 1.5% (67 ± 17 mmol/mol) versus 8.4 ± 1.6% (68 ± 17 mmol/mol). CD is a common comorbidity in youth with type 1 diabetes. Differences in CD prevalence may reflect international variation in screening and diagnostic practices, and/or CD risk. Although glycemic control was not different, the lower height SDS supports close monitoring of growth and nutrition in this population.
Type 1 diabetes: a disease of developmental origins.
Publisher: Hindawi Limited
Date: 15-08-2016
DOI: 10.1111/PEDI.12425
Abstract: The incidence of type 1 diabetes globally has increased dramatically over the last 50 years. Proposed environmental reasons for this increase mirror the modern lifestyle. Type 1 diabetes can be viewed as part of the non- communicable disease epidemic in our modern society. Meanwhile rapidly evolving new technologies are advancing our understanding of how human microbial communities interface with the immune system and metabolism, and how the modern pro-inflammatory environment is changing these communities and contributing to the rapid rise of non-communicable disease. The majority of children who present with clinical type 1 diabetes are of school age however 80% of children who develop type 1 diabetes by 18 years of age will have detectable islet autoantibodies by 3 years of age. The evolving concept that type 1 diabetes in many children has developmental origins has directed research questions in search of prevention back to pregnancy and early life. To this end the world's first pregnancy to early childhood cohort study in at-risk children has commenced.
Supporting geospatial privacy-preserving data mining of social media
Publisher: Springer Science and Business Media LLC
Date: 26-11-2016
Novel Associations in Disorders of Sex Development: Findings From the I-DSD Registry
Publisher: The Endocrine Society
Date: 02-2014
DOI: 10.1210/JC.2013-2918
Automated Recognition and Classification of Cat Pain Through Deep Learning
Publisher: Springer Nature Singapore
Date: 2023
Towards a virtual research environment for paediatric endocrinology across europe
Publisher: IEEE
Date: 2009
Characteristics of Pediatric vs Adult Pheochromocytomas and Paragangliomas
Publisher: The Endocrine Society
Date: 31-01-2017
DOI: 10.1210/JC.2016-3829
Design of low-cost autonomous water quality monitoring system
Publisher: IEEE
Date: 08-2013
Applying formal methods to standard development: The open distributed processing experience
Publisher: Elsevier BV
Date: 09-1995
Semantic security for E-health: A case study in enhanced access control
Publisher: IEEE
Date: 08-2016
Changes Over Time in Sex Assignment for Disorders of Sex Development
Publisher: American Academy of Pediatrics (AAP)
Date: 09-2014
Abstract: It is unclear whether the proportion of infants with a disorder of sex development who are raised as male or female has changed over time. The temporal trends in sex assignment of affected cases entered in the International Disorder of Sex Development (I-DSD) Registry were studied. Cases of disorders of sex development reported as partial androgen insensitivity syndrome (PAIS n = 118), disorder of gonadal development (DGD n = 232), and disorder of androgen synthesis (DAS n = 104) were ided into those who were born before 1990, 1990–1999, and after 1999. External appearance of the genitalia was described by the external masculinization score. The median (5th–95th percentile) external masculinization scores of those infants with PAIS, DGD, and DAS who were raised as boys were 6 (2–9), 6 (3–9), and 6 (1–12), respectively, and were significantly higher than in those raised as girls (2 [0–6], 2 [0–7], and 0 [0–5], respectively) this difference was maintained in the 3 temporal birth cohorts (P & .01). Of the 118 cases in the pre-1990 cohort, 41 (35%) were raised as boys of the 148 cases in the 1990–1999 cohort, 60 (41%) were raised as boys and of the 188 cases in the post-1999 cohort, 128 (68%) were raised as boys. Although there is an association between the external appearance of the genitalia and the choice of sex assignment, there are clear temporal trends in this practice pointing toward an increased likelihood of affected infants being raised as boys. The impact of this change in practice on long-term health outcomes requires additional focus.
Policy-based vulnerability assessment for virtual organisations
Publisher: Springer Berlin Heidelberg
Date: 2012
Protecting personal trajectories of social media users through differential privacy
Publisher: Elsevier BV
Date: 06-2017
Capturing Interoperable Reproducible Workflows With Common Workflow Language
Publisher: Zenodo
Date: 2018
Capturing Interoperable Reproducible Workflows With Common Workflow Language
Publisher: Zenodo
Date: 2018
Integrating security solutions to support nanoCMOS electronics research
Publisher: IEEE
Date: 12-2008
SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
The long-term outcome of boys with partial androgen insensitivity syndrome and a mutation in the androgen receptor gene
Publisher: The Endocrine Society
Date: 11-2016
DOI: 10.1210/JC.2016-1372
Privacy-preserving data linkage through blind geo-spatial data aggregation
Publisher: IEEE
Date: 08-2015
Environmental determinants of islet autoimmunity (ENDIA): A pregnancy to early life cohort study in children at-risk of type 1 diabetes
Publisher: Springer Science and Business Media LLC
Date: 14-08-2013
Abstract: The incidence of type 1 diabetes has increased worldwide, particularly in younger children and those with lower genetic susceptibility. These observations suggest factors in the modern environment promote pancreatic islet autoimmunity and destruction of insulin-producing beta cells. The Environmental Determinants of Islet Autoimmunity (ENDIA) Study is investigating candidate environmental exposures and gene-environment interactions that may contribute to the development of islet autoimmunity and type 1 diabetes. ENDIA is the only prospective pregnancy/birth cohort study in the Southern Hemisphere investigating the determinants of type 1 diabetes in at-risk children. The study will recruit 1,400 unborn infants or infants less than six months of age with a first-degree relative (i.e. mother, father or sibling) with type 1 diabetes, across five Australian states. Pregnant mothers/infants will be followed prospectively from early pregnancy through childhood to investigate relationships between genotype, the development of islet autoimmunity (and subsequently type 1 diabetes), and prenatal and postnatal environmental factors. ENDIA will evaluate the microbiome, nutrition, bodyweight/composition, metabolome-lipidome, insulin resistance, innate and adaptive immune function and viral infections. A systems biology approach will be used to integrate these data. Investigation will be by 3-monthly assessments of the mother during pregnancy, then 3-monthly assessments of the child until 24 months of age and 6-monthly thereafter. The primary outcome measure is persistent islet autoimmunity, defined as the presence of autoantibodies to one or more islet autoantigens on consecutive tests. Defining gene-environment interactions that initiate and/or promote destruction of the insulin-producing beta cells in early life will inform approaches to primary prevention of type 1 diabetes. The strength of ENDIA is the prospective, comprehensive and frequent systems-wide profiling from early pregnancy through to early childhood, to capture dynamic environmental exposures that may shape the development of islet autoimmunity. Australia New Zealand Clinical Trials Registry ACTRN12613000794707 .
Architectural patterns for security-oriented workflows in collaborative environments
Publisher: Springer International Publishing
Date: 2016
Elastic Scaling of e-Infrastructures to Support Data-Intensive Research Collaborations
Publisher: IEEE
Date: 10-2014
Supporting clinical trials to predict adverse events in the brain trauma domain
Publisher: IEEE
Date: 06-2012
Experiences in teaching grid computing to advanced level students
Publisher: IEEE
Date: 2005
Enabling quantitative Data analysis through e-infrastructure
Publisher: SAGE Publications
Date: 08-04-2009
Abstract: This article discusses how quantitative data analysis in the social sciences can engage with and exploit an e-Infrastructure. We highlight how a number of activities that are central to quantitative data analysis, referred to as ‘‘data management,’’ can benefit from e-Infrastructural support. We conclude by discussing how these issues are relevant to the Data Management through e-Social Science (DAMES) research Node, an ongoing project that aims to develop e-Infrastructural resources for quantitative data analysis in the social sciences.
A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity
Publisher: JMIR Publications Inc.
Date: 25-03-2019
DOI: 10.2196/11157
SLA-based profit optimization for resource management of big data analytics-as-a-service platforms in cloud computing environments
Publisher: IEEE
Date: 12-2016
A scalable Cloud-based system for data-intensive spatial analysis
Publisher: Springer Science and Business Media LLC
Date: 28-08-2016
The Australia urban research gateway
Publisher: Wiley
Date: 23-04-2015
DOI: 10.1002/CPE.3282
Comparison of advanced authorisation infrastructures for grid computing
Publisher: IEEE
Date: 2005
DOI: 10.1109/HPCS.2005.20
EURO-WABB: An EU rare diseases registry for Wolfram syndrome, Alström syndrome and Bardet-Biedl syndrome
Publisher: Springer Science and Business Media LLC
Date: 27-08-2013
Abstract: Wolfram, Alström and Bardet-Biedl (WABB) syndromes are rare diseases with overlapping features of multiple sensory and metabolic impairments, including diabetes mellitus, which have caused diagnostic confusion. There are as yet no specific treatments available, little or no access to well characterized cohorts of patients, and limited information on the natural history of the diseases. We aim to establish a Europe-wide registry for these diseases to inform patient care and research. EURO-WABB is an international multicenter large-scale observational study capturing longitudinal clinical and outcome data for patients with WABB diagnoses. Three hundred participants will be recruited over 3 years from different sites throughout Europe. Comprehensive clinical, genetic and patient experience data will be collated into an anonymized disease registry. Data collection will be web-based, and forms part of the project’s Virtual Research and Information Environment (VRIE). Participants who haven’t undergone genetic diagnostic testing for their condition will be able to do so via the project. The registry data will be used to increase the understanding of the natural history of WABB diseases, to serve as an evidence base for clinical management, and to aid the identification of opportunities for intervention to stop or delay the progress of the disease. The detailed clinical characterisation will allow inclusion of patients into studies of novel treatment interventions, including targeted interventions in small scale open label studies and enrolment into multi-national clinical trials. The registry will also support wider access to genetic testing, and encourage international collaborations for patient benefit.
Supporting grid-based clinical trials in Scotland
Publisher: SAGE Publications
Date: 06-2008
Abstract: A computational infrastructure to underpin complex clinical trials and medical population studies is highly desirable. This should allow access to a range of distributed clinical data sets support the efficient processing and analysis of the data obtained have security at its heart and ensure that authorized in iduals are able to see privileged data and no more. Each clinical trial has its own requirements on data sets and how they are used hence a reusable and flexible framework offers many advantages. The MRC funded Virtual Organisations for Trials and Epidemiological Studies (VOTES) is a collaborative project involving several UK universities specifically to explore this space. This article presents the experiences of developing the Scottish component of this nationwide infrastructure, by the National e-Science Centre (NeSC) based at the University of Glasgow, and the issues inherent in accessing and using the clinical data sets in a flexible, dynamic and secure manner.
Towards decentralised security policies for e-health collaborations
Publisher: IEEE
Date: 08-2008
Related Organisations
University Of Stirling
Location: United Kingdom of Great Britain and Northern Ireland
University Of Glasgow
Location: United Kingdom of Great Britain and Northern Ireland
University Of East Anglia
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100221
Start Date: 06-2016
End Date: 06-2017
Amount: $367,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE200100074
Start Date: 05-2020
End Date: 12-2021
Amount: $580,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE150100048
Start Date: 09-2015
End Date: 12-2016
Amount: $630,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP210103460
Start Date: 11-2021
End Date: 10-2025
Amount: $770,971.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE180100094
Start Date: 2018
End Date: 08-2020
Amount: $1,361,651.00
Funder: Australian Research Council
View Funded Activity