Energy Efficiency through Significance-Based Computing

An extension of approximate computing, significance-based computing exploits applications' inherent error resiliency and offers a new structural paradigm that strategically relaxes full computational precision to provide significant energy savings with minimal performance degradation.

The Effectiveness of Weight Management Interventions in Breastfeeding Women—A Systematic Review and Critical Evaluation

Background: The postpartum period is a vulnerable time for excess weight retention, particularly for the increasing number of women who are overweight at the start of their pregnancy and subsequently find it difficult to lose additional weight gained during pregnancy. Although postpartum weight management interventions play an important role in breaking this potentially vicious cycle of weight gain, the effectiveness of such interventions in breastfeeding women remains unclear. Our aim was to systematically review the literature about the effectiveness of weight management interventions in breastfeeding women.

Methods: Seven electronic databases were searched for eligible papers. Intervention studies included were carried out exclusively in breastfeeding mothers, ≤2 years postpartum and with a body mass index greater than 18.5 kg/m2, with an outcome measure of change in weight and/or body composition.

Results: Six studies met the selection criteria, and were stratified according to the type of intervention and outcome measures. Despite considerable heterogeneity among studies, the dietary-based intervention studies appeared to be the most efficacious in promoting weight loss; however, few studies were tailored toward the needs of breastfeeding women.

Conclusions: Weight management interventions which include an energy-restricted diet may play a key role in successful postpartum weight loss for breastfeeding mothers.

A systematic review of midwife led interventions to address post traumatic stress syndrome

Objective
to systematically identify interventions that midwives could introduce to address post-traumatic stress in women following childbirth.

Methods
a search strategy was developed and relevant papers were identified from databases including Cinahl, Cochrane Library, EMBASE, Maternity and Infant Care, MEDLINE, PsycINFO, and Web of Science. Key search terms used were post-traumatic stress, post partum, intervention, controlled trial and review. Papers eligible for inclusion were primary studies and reviews of research published from 2002–2012, focusing on interventions which could be implemented by midwives for the prevention and/or management of PTSD. For primary studies, RCTs, controlled clinical trials, and cohort studies with a control group were eligible. Eligible reviews were those with a specified search strategy and inclusion/exclusion criteria. Methodological quality was assessed using recognised frameworks.

Findings
six primary studies and eight reviews were eligible for inclusion. The majority of included studies or reviews focused on debriefing and/or counselling interventions; however the results were not consistent due to significant variation in methodological quality and use of dissimilar interventions. Two of the reviews considered the general management of post partum PTSD and one broadly covered anxiety during pregnancy and the post partum, incorporating a section on PTSD. The majority of women reported that the opportunity to discuss their childbirth experience was subjectively beneficial.

Conclusions and implications for practice
no evidence-based midwifery interventions were identified from this systematic review that can be recommended for introduction into practice to address PTSD. It is recommended that future research in this area should incorporate standardised interventions with similar outcome measures to facilitate synthesis of results. Further research on interventions used in non-maternity populations is needed in order to confirm their usefulness in addressing post partum PTSD.

A systematic review of interventions aimed at increasing physical activity in adults with chronic musculoskeletal pain-protocol

Background: Chronic musculoskeletal pain is highly prevalent, affecting around one in five people across Europe. Osteoarthritis, low back pain, neck pain and other musculoskeletal disorders are leading causes of disability
worldwide and the most common source of chronic pain. Exercise and/or physical activity interventions have the potential to address not only the pain and disability associated with chronic pain but also the increased risk of morbidity and mortality seen in this population. Although exercise and/or physical activity is widely recommended, there is currently a paucity of research that offers an evidence base upon which the development or optimisation of interventions can be based. This systematic review will investigate the components of interventions associated with changes in physical activity levels in adults with chronic musculoskeletal pain.

Methods/Design: This systematic review will be reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidance. Randomised and quasi-randomised controlled trials of interventions aimed at increasing physical activity in adults with chronic musculoskeletal pain will be included. Articles will be identified through a comprehensive search of the following databases: CENTRAL in the Cochrane Library, the Cochrane Database of Systematic Reviews (CDSR), MEDLINE, Embase, CINAHL, PsycINFO and AMED. Two review authors will independently screen articles retrieved from the search for eligibility, extract relevant data on methodological issues and code interventions according to the behaviour change technique taxonomy (v1) of 93 hierarchically clustered techniques. As complex healthcare interventions can be modified by a wide variety of factors, data will be summarised statistically when the data are available, are sufficiently similar and are of sufficient quality. A narrative synthesis will be completed if there is insufficient data to permit a formal meta-analysis.

Discussion: This review will be of value to clinicians working in chronic pain services and to researchers involved in designing and evaluating interventions.

Management and diagnosis of psychogenic cough, habit cough, and tic cough: A systematic review

BACKGROUND: Several pharmacologic and nonpharmacologic therapeutic options have been used to treat cough that is not associated with a pulmonary or extrapulmonary etiology.

METHODS: We conducted a systematic review to summarize the evidence supporting different cough management options in adults and children with psychogenic, tic, and habit cough. Medline, EMBASE, the Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus were searched from the earliest inception of each database to September 2013. Content experts were contacted, and we searched bibliographies of included studies to identify additional references.

RESULTS: A total of 18 uncontrolled studies were identified, enrolling 223 patients (46% male subjects, 96% children and adolescents). Psychogenic cough was the most common descriptive term used (90% of the studies). Most of the patients (95%) had no cough during sleep; barking or honking quality of cough was described in only eight studies. Hypnosis (three studies), suggestion therapy (four studies), and counseling and reassurance (seven studies) were the most commonly used interventions. Hypnosis was effective in resolving cough in 78% of the patients and improving it in another 5%. Suggestion therapy resolved cough successfully in 96% of the patients. The greatest majority of improvements noted with these forms of therapy occurred in the pediatric age group. The quality of evidence is low due to the lack of control groups, the retrospective nature of all the studies, heterogeneity of definitions and diagnostic criteria, and the high likelihood of reporting bias.

CONCLUSIONS: Only low-quality evidence exists to support a particular strategy to define and treat psychogenic, habit, and tic cough. Patient values, preferences, and availability of potential therapies should guide treatment choice.

Significance Driven Computation: A Voltage-Scalable, Variation-Aware, Quality-Tuning Motion Estimator

In this paper we present a design methodology for algorithm/architecture co-design of a voltage-scalable, process variation aware motion estimator based on significance driven computation. The fundamental premise of our approach lies in the fact that all computations are not equally significant in shaping the output response of video systems. We use a statistical technique to intelligently identify these significant/not-so-significant computations at the algorithmic level and subsequently change the underlying architecture such that the significant computations are computed in an error free manner under voltage over-scaling. Furthermore, our design includes an adaptive quality compensation (AQC) block which "tunes" the algorithm and architecture depending on the magnitude of voltage over-scaling and severity of process variations. Simulation results show average power savings of similar to 33% for the proposed architecture when compared to conventional implementation in the 90 nm CMOS technology. The maximum output quality loss in terms of Peak Signal to Noise Ratio (PSNR) was similar to 1 dB without incurring any throughput penalty.

Significance Driven Computation on Next-Generation Unreliable Platforms

In this paper, we propose a design paradigm for energy efficient and variation-aware operation of next-generation multicore heterogeneous platforms. The main idea behind the proposed approach lies on the observation that not all operations are equally important in shaping the output quality of various applications and of the overall system. Based on such an observation, we suggest that all levels of the software design stack, including the programming model, compiler, operating system (OS) and run-time system should identify the critical tasks and ensure correct operation of such tasks by assigning them to dynamically adjusted reliable cores/units. Specifically, based on error rates and operating conditions identified by a sense-and-adapt (SeA) unit, the OS selects and sets the right mode of operation of the overall system. The run-time system identifies the critical/less-critical tasks based on special directives and schedules them to the appropriate units that are dynamically adjusted for highly-accurate/approximate operation by tuning their voltage/frequency. Units that execute less significant operations can operate at voltages less than what is required for correct operation and consume less power, if required, since such tasks do not need to be always exact as opposed to the critical ones. Such scheme can lead to energy efficient and reliable operation, while reducing the design cost and overheads of conventional circuit/micro-architecture level techniques.

Early Medieval Settlement in North County Antrim: the significance of Doonmore and Drumadoon

The excavated north Antrim sites of Doonmore and Drumadoon are compared and attention is drawn to a group of like monuments in the same barony, here termed fortified outcrops. These are argued to be a type influenced by settlements in Argyll and introduced by the Dál Riata to Ulster through ‘counterstream migration’.

Optical coherence tomography for the diagnosis of neovascular age-related macular degeneration: a systematic review

The purpose is to study the diagnostic performance of optical coherence tomography (OCT) and alternative diagnostic tests for neovascular age-related macular degeneration (nAMD). Methods employed are as follows:systematic review and meta-analysis; Index test: OCT including time-domain (TD-OCT) and the most recently developed spectral domain (SD-OCT); comparator tests: visual acuity, clinical evaluation (slit lamp), Amsler chart, colour fundus photographs, infra-red reflectance, red-free images/blue reflectance, fundus autofluorescence imaging (FAF), indocyanine green angiography (ICGA), preferential hyperacuity perimetry (PHP), and microperimetry; reference standard: fundus fluorescein angiography. Databases searched included MEDLINE, MEDLINE In Process, EMBASE, Biosis, SCI, the Cochrane Library, DARE, MEDION, and HTA database. Last literature searches: March 2013. Risk of bias assessed using QUADAS-2. Meta-analysis models were fitted using hierarchical summary receiver operating characteristic (HSROC) curves. Twenty-two studies (2 abstracts and 20 articles) enrolling 2124 participants were identified, reporting TD-OCT (12 studies), SD-OCT (1 study), ICGA (8 studies), PHP (3 studies), Amsler grid, colour fundus photography and FAF (1 study each). Most studies were considered to have a high risk of bias in the patient selection (55%, 11/20), and flow and timing (40%, 8/20) domains. In a meta-analysis of TD-OCT studies, sensitivity and specificity (95% CI) were 88% (46–98%) and 78% (64–88%), respectively. There was insufficient information to undertake meta-analysis for other tests. TD-OCT is a sensitive test for detecting nAMD, although specificity was only moderate. Data on SD-OCT are sparse. Diagnosis of nAMD should not rely solely on OCT.

Measuring the significance of inconsistency in the Viewpoints framework

Measuring inconsistency is crucial to effective inconsistency management in software development. A complete measurement of inconsistency should focus on not only the degree but also the significance of inconsistency. However, most of the approaches available only take the degree of inconsistency into account. The significance of inconsistency has not yet been given much needed consideration. This paper presents an approach for measuring the significance of inconsistency arising from different viewpoints in the Viewpoints framework. We call an individual set of requirements belonging to different viewpoints a combined requirements collection in this paper. We argue that the
significance of inconsistency arising in a combined requirements collection is closely associated with global priority levels of requirements involved in the inconsistency. Here we assume that the global priority level of an individual requirement captures the relative importance of every viewpoint including this requirement as well as the local priority level of the requirement within the viewpoint. Then we use the synthesis of global priority levels of all the requirements in a combined collection to measure the significance of the
collection. Following this, we present a scoring matrix function to measure the significance of inconsistency in an inconsistent combined requirements collection, which describes the contribution made by each subset of the requirements collection to the significance of the set of requirements involved in the inconsistency. An ordering relationship between inconsistencies of two combined requirements collections, termed more significant than, is also presented by comparing their significance scoring matrix functions. Finally, these techniques were implemented in a prototype tool called IncMeasurer, which we developed as a proof of concept.

The statistical significance of randomized controlled trial results is frequently fragile: A case for a Fragility Index

Objectives

A P-value <0.05 is one metric used to evaluate the results of a randomized controlled trial (RCT). We wondered how often statistically significant results in RCTs may be lost with small changes in the numbers of outcomes.

Study Design and Setting

A review of RCTs in high-impact medical journals that reported a statistically significant result for at least one dichotomous or time-to-event outcome in the abstract. In the group with the smallest number of events, we changed the status of patients without an event to an event until the P-value exceeded 0.05. We labeled this number the Fragility Index; smaller numbers indicated a more fragile result.

Results

The 399 eligible trials had a median sample size of 682 patients (range: 15-112,604) and a median of 112 events (range: 8-5,142); 53% reported a P-value <0.01. The median Fragility Index was 8 (range: 0-109); 25% had a Fragility Index of 3 or less. In 53% of trials, the Fragility Index was less than the number of patients lost to follow-up.

Conclusion

The statistically significant results of many RCTs hinge on small numbers of events. The Fragility Index complements the P-value and helps identify less robust results.