When Can the Child Speak for Herself? The Limits of Parental Consent in Data Protection Law for Health Research.

Draft regulatory guidance suggests that if the processing of a child's personal data begins with the consent of a parent, then there is a need to find and defend an enduring consent through the child's growing capacity and on to their maturity. We consider the implications for health research of the UK Information Commissioner's Office's (ICO) suggestion that the relevant test for maturity is the Gillick test, originally developed in the context of medical treatment. Noting the significance of the welfare principle to this test, we examine the implications for the responsibilities of a parent to act as proxy for their child. We argue, contrary to draft ICO guidance, that a data controller might legitimately continue to rely upon parental consent as a legal basis for processing after a child is old enough to provide her own consent. Nevertheless, we conclude that data controllers should develop strategies to seek fresh consent from children as soon as practicable after the data controller has reason to believe they are mature enough to consent independently. Techniques for effective communication, recommended to address challenges associated with Big Data analytics, might have a role here in addressing the dynamic relationship between data subject and processing. Ultimately, we suggest that fair and lawful processing of a child's data will be dependent upon data controllers taking seriously the truism that consent is ongoing, rather than a one-time event: the core associated responsibility is to continue to communicate with a data subject regarding the processing of personal data

Reaching millennium development goal 4 - the Gambia.

UNLABELLED: To describe how, through a DSS in a rural area of The Gambia, it has been possible to measure substantial reductions in child mortality rates and how we investigated whether the decline paralleled the registered fall in malaria incidence in the country. METHODS: Demographic surveillance data spanning 19.5 years (1 April 1989-30 September 2008) from 42 villages around the town of Farafenni, The Gambia, were used to estimate childhood mortality rates for neonatal, infant, child (1-4 years) and under-5 age groups. Data were presented in five a priori defined time periods, and annual rates per 1000 live births were derived from Kaplan-Meier survival probabilities. RESULTS: From 1989-1992 to 2004-2008, under-5 mortality declined by 56% (95% CI: 48-63%), from 165 (95% CI: 151-181) per 1000 live births to 74 (95% CI: 65-84) per 1000 live births. In 1- to 4-year-olds, mortality during the period 2004-2008 was 69% (95% CI: 60-76%) less than in 1989-1992. The corresponding mortality decline in infants was 39% (95% CI: 23-52%); in neonates, it was 38% (95% CI: 13-66%). The derived annual under-5 mortality rates declined from 159 per 1000 live births in 1990 to 45 per 1000 live births in 2008, thus implying an attainment of MDG4 seven years in advance of the target year of 2015. CONCLUSION: Achieving MDG4 is possible in poor, rural areas of Africa through widespread deployment of relatively simple measures that improve child survival, such as immunisation and effective malaria control

ML-NA: A Machine Learning Based Node Performance Analyzer Utilizing Straggler Statistics

Current Cloud clusters often consist of heterogeneous machine nodes, which can trigger performance challenges such as the task straggler problem, whereby a small subset of parallel tasks running abnormally slower than the other sibling ones. The straggler problem leads to extended job response and deteriorates system throughput. Poor performance nodes are more likely to engender stragglers, and can undermine straggler mitigation effectiveness. For example, as the dominant mechanism for straggler alleviation, speculative execution functions by creating redundant task replicas on other machine nodes as soon as a straggler is detected. When speculative copies are assigned onto the poor performance nodes, it is hard for them to catch up with the stragglers compared to replicas run on fast nodes. And due to the fact that the performance heterogeneity is caused not only by static attribute variations such as physical capacity, but also dynamic characteristic uctuations such as contention level, analyzing node performance is important yet challenging. In this paper we develop ML-NA, a Machine Learning based Node performance Analyzer. By leveraging historical parallel tasks execution log data, ML-NA classies cluster nodes into different categories and predicts their performance in the near future as a scheduling guide to improve speculation effectiveness and minimize task straggler generation. We consider MapReduce as a representative framework to perform our analysis, and use the published OpenCloud trace as a case study to train and to evaluate our model. Results show that ML-NA can predict node performance categories with an average accuracy up to 92.86%

Effect of mineralocorticoid receptor antagonists on proteinuria and progression of chronic kidney disease: a systematic review and meta-analysis

Background: Hypertension and proteinuria are critically involved in the progression of chronic kidney disease. Despite treatment with renin angiotensin system inhibition, kidney function declines in many patients. Aldosterone excess is a risk factor for progression of kidney disease. Hyperkalaemia is a concern with the use of mineralocorticoid receptor antagonists. We aimed to determine whether the renal protective benefits of mineralocorticoid antagonists outweigh the risk of hyperkalaemia associated with this treatment in patients with chronic kidney disease. Methods: We conducted a meta-analysis investigating renoprotective effects and risk of hyperkalaemia in trials of mineralocorticoid receptor antagonists in chronic kidney disease. Trials were identified from MEDLINE (1966–2014), EMBASE (1947–2014) and the Cochrane Clinical Trials Database. Unpublished summary data were obtained from investigators. We included randomised controlled trials, and the first period of randomised cross over trials lasting ≥4 weeks in adults. Results: Nineteen trials (21 study groups, 1 646 patients) were included. In random effects meta-analysis, addition of mineralocorticoid receptor antagonists to renin angiotensin system inhibition resulted in a reduction from baseline in systolic blood pressure (−5.7 [−9.0, −2.3] mmHg), diastolic blood pressure (−1.7 [−3.4, −0.1] mmHg) and glomerular filtration rate (−3.2 [−5.4, −1.0] mL/min/1.73 m2). Mineralocorticoid receptor antagonism reduced weighted mean protein/albumin excretion by 38.7 % but with a threefold higher relative risk of withdrawing from the trial due to hyperkalaemia (3.21, [1.19, 8.71]). Death, cardiovascular events and hard renal end points were not reported in sufficient numbers to analyse. Conclusions: Mineralocorticoid receptor antagonism reduces blood pressure and urinary protein/albumin excretion with a quantifiable risk of hyperkalaemia above predefined study upper limit

From integration to fusion: the challenges ahead

The increasing complexity of numerical modelling systems in environmental sciences has led to the development of different supporting architectures. Integrated environmental modelling can be undertaken by building a ‘super model’ simulating many processes or by using a generic coupling framework to dynamically link distinct separate models during run-time. The application of systemic knowledge management to integrated environmental modelling indicates that we are at the onset of the norming stage, where gains will be made from consolidation in the range of standards and approaches that have proliferated in recent years. Consolidation is proposed in six topics: metadata for data and models; supporting information; Software-as-a-service; linking (or interface) technologies; diagnostic or reasoning tools; and the portrayal and understanding of integrated modelling. Consolidation in these topics will develop model fusion: the ability to link models, with easy access to information about the models, interface standards such as OpenMI and software tools to make integration easier. For this to happen, an open software architecture will be crucial, the use of open source software is likely to increase and a community must develop that values openness and the sharing of models and data as much as its publications and citation records

Examining the power of the social imaginary through competing narratives of data ownership in health research

This article explores the social imaginary in the context of data ownership and the (non-)delivery of the data sharing revolution in biomedicine. We contribute to this special issue on imaginaries by developing a method and paradigm of ‘competing narratives’. Despite multiple initiatives to encourage health data sharing, and a strong ‘open access’ agenda, the data sharing revolution is not yet delivered. Ownership is persistently (though inconsistently) presented as a barrier to data sharing. However, existing literature does not reveal how far appeals to ownership are part of the problem. This paper reports original, interdisciplinary research asking: in health research, in what ways, if at all, do notions of ownership (broadly conceived) of health-related data impact on sharing practices? Doctrinal and empirical research methods are used to expose evidence of drivers behind appeals to ownership in health data sharing. The findings speak to how funders and data custodians can better tailor existing and potential data sharing initiatives to perspectives and behaviors. The concept of ‘my data’ is important: notions of reward, opportunity, control, and safeguarding establish legitimate, potentially competing ‘ownership’ interests in data. In particular, this research raises questions about the long-term effectiveness of an open access ideology that ignores these subtleties. In conclusion we find power in the social imaginary of ownership with respect to biomedical data; however, that power emerges and is enacted in unexpected ways by multiple actors within the ecosystem, often driven by competing narratives about what is at stake. Importantly, formal legal property-type appeals to ownership appear to have far less power in the narratives about data than the ethical and social concerns that underpin responsible biomedical research

Low-Speed Wind Tunnel Tests of Two Waverider Configuration Models

A definitive measurement of the low-speed flight characteristics of waverider-based aircraft is required to augment the overall design database for this important class of vehicles which have great potential for efficient high-speed flight. Two separate waverider-derived vehicles were tested; one in the 14- by 22-Foot Tunnel and the other in the 12-Foot Low Speed Tunnel at Langley Research Center. These tests provided measurements of moments and forces about all three axes, control effectiveness, flow field characteristics and the effects of configuration changes. The results of these tunnel tests are summarized and the subsonic aerodynamic characteristics of the two configurations are shown

Erratum to: Worldwide Prevalence of Fetal Alcohol Spectrum Disorders: A Systematic Literature Review Including Meta-Analysis

BACKGROUND: Although fetal alcohol spectrum disorders (FASD) affect communities worldwide, little is known about its prevalence. The objective of this study was to provide an overview of the global FASD prevalence. METHODS: We performed a search in multiple electronic bibliographic databases up to August 2015, supplemented with the ascendancy and descendancy approach. Studies were considered when published in English, included human participants, and reported empirical data on prevalence or incidence estimates of FASD. Raw prevalence estimates were transformed using the Freeman-Tukey double arcsine transformation so that the data followed an approximately normal distribution. Once the pooled prevalence estimates, 95% confidence intervals and prediction intervals were calculated based on multiple meta-analyses with transformed proportions using random effects models, these estimates were transformed back to regular prevalence rates. Heterogeneity was tested using Cochran's Q and described using the I(2) statistic. RESULTS: Among studies that estimated prevalence in general population samples, considerable differences in prevalence rates between countries were found and therefore separate meta-analyses for country were conducted. Particularly high-prevalence rates were observed in South Africa for fetal alcohol syndrome (55.42 per 1,000), for alcohol-related neurodevelopmental disorder (20.25 per 1,000), and FASD (113.22 per 1,000), For partial fetal alcohol syndrome high rates were found in Croatia (43.01 per 1,000), Italy (36.89 per 1,000), and South Africa (28.29 per 1,000). In the case of alcohol-related birth defects, a prevalence of 10.82 per 1,000 was found in Australia. However, studies into FASD exhibited substantial heterogeneity, which could only partly be explained by moderators, most notably geography and descent, in meta-regressions. In addition, the moderators were confounded, making conclusions as to each moderator's relevance tentative at best. CONCLUSIONS: The worldwide pooled prevalence estimates are higher than assumed so far, but this was largely explained by geography and descent. Furthermore, prevalence studies varied considerably in terms of used methodology and methodological quality. The pooled estimates must therefore be interpreted with caution and for future research it is highly recommended to report methodology in a more comprehensive way. Finally, clear guidelines on assessing FASD prevalence are urgently needed, and a first step toward these guidelines is presented

Reduced Cardiovascular Reserve in Chronic Kidney Failure: A Matched Cohort Study

Background: Patients with chronic kidney failure (CKF) experience impaired functional cardiovascular reserve with reduced oxygen consumption at peak exercise (Vo2peak). No studies have examined whether this is related to impaired cardiovascular compliance as a consequence of loss of adaptive structural alterations, resulting from chronic uremia or hypertension. Study Design: Prospective matched-cohort study. Setting & Participants: We assessed CKF in parallel with patients with essential hypertension but without cardiovascular disease. Patients with CKF were either scheduled for kidney transplantation or transplant waitlisted. 80 patients with CKF and 80 with essential hypertension matched in age, sex, and body mass index were evaluated. 61 patients with CKF (76.3%) were dialysis dependent. Predictor: CKF versus essential hypertension without cardiovascular disease. Measurements & Outcomes: Vo2peak was measured during maximal exercise testing. 2-dimensional echocardiography and arterial applanation tonometry were performed prior to exercise testing. To evaluate for the difference in Vo2peak between study groups, statistically significant predictors of Vo2peak in multiple regression models were additionally assessed by fitting models comprising the interaction term of patient group with the predictor variable of interest. Results: Vo2peak was significantly lower in patients with CKF than those with essential hypertension (18.8 vs 24.5 mL/min·kg; P < 0.001). Independent predictors of Vo2peak for CKF included left ventricular (LV) filling pressure (E/mean e′; unstandardized regression coefficient: change in Vo2peak [in mL/min·kg] per 1-unit change of variable = −5.1) and pulse wave velocity (−4.0); in essential hypertension, these were LV mass index (0.2), LV end-diastolic volume index (0.4), peak heart rate (0.2), and pulse wave velocity (−8.8). The interaction effect of Vo2peak between patient groups with LV mass index (P < 0.001), LV end-diastolic volume index (P < 0.001), and peak heart rate (P < 0.01) were significantly stronger in the hypertension group, whereby higher values led to greater Vo2peak. Limitations: Skeletal muscle strength was not assessed. Conclusion: This study suggests that maladaptive LV changes, as well as blunted chronotropic response, are important mechanistic factors resulting in reduced cardiovascular reserve in patients with CKF, beyond predominantly vascular changes associated with hypertension