An Empirical Evaluation of the Indicators for Performance Regression Test Selection

As a software application is developed and maintained, changes to the source code may cause unintentional slowdowns in functionality. These slowdowns are known as performance regressions. Projects which are concerned about performance oftentimes create performance regression tests, which can be run to detect performance regressions. Ideally we would run these tests on every commit, however, these tests usually need a large amount of time or resources in order to simulate realistic scenarios. The paper entitled Perphecy: Performance Regression Test Selection Made Simple but Effective presents a technique to solve this problem by attempting to predict the likelihood that a commit will cause a performance regression. They use static and dynamic analysis to gather several metrics for their prediction, and then they evaluate those metrics on several projects. This thesis seeks to replicate and expand on their work. This thesis aims in revisiting the above-mentioned research paper by replicating its experiments and extending it by including a larger set of code changes to better understand how several metrics can be combined to approximate a better prediction of any code change that may potentially introduce deterioration at the performance of the software execution. This thesis has successfully replicated the existing study along with generating more insights related to the approach, and provides an open-source tool that can help developers with detecting any performance regression within code changes as software evolves

The iHOPE-20 study: relationships between and prospective predictors of remission, clinical recovery, personal recovery and resilience 20 years on from a first episode psychosis

peer-reviewedObjective: Knowledge of outcome in psychotic illness is limited by the paucity of very long-term epidemiologically representative studies of incidence first episode psychosis (FEP) cohorts that measure and compare outcomes reflecting modern clinical practice, mental health policy and research agendas. Our study aimed to address this gap. Method: iHOPE-20 is a prospective 20-year follow-up study of a FEP incidence cohort (N = 171) conducted between 2014 and 2017 in Ireland. Data from previous studies and medical records were used to recruit cohort members. We assessed remission, clinical recovery, personal recovery and resilience at 20 years; explored the relationships between these outcomes and examined the predictive value of baseline characteristics in determining them. Results: At follow-up, 20 out of 171 cohort members (11.70%) were deceased. We assessed 80 out of 151 alive cohort members (53% recruitment rate); 65% were in remission; 35.2% were in Full Functional Recovery and 53.7% confirmed they were fully recovered according to their personal definition of recovery. A complex array of relationships between outcomes was found. Outcomes were better for people who had a short duration of untreated psychosis, displayed higher premorbid social adjustment (between the ages of 5–11) and at baseline, were older, not living alone, in full-time employment, given a non-affective diagnosis, and had lower Global Assessment of Functioning scores. Conclusion: Among participants, full remission of psychotic symptoms and personally defined recovery was not just possible but likely in the very long term. However, attaining positive functional outcomes and building resilience in FEP remain key challenges for mental health services.PUBLISHEDpeer-reviewe

Common trust and personal safety issues: a systematic review on the acceptability of health and social interventions for persons with lived experience of homelessness

Background: Persons experiencing homelessness and vulnerable housing or those with lived experience of homelessness have worse health outcomes than individuals who are stably housed. Structural violence can dramatically affect their acceptance of interventions. We carried out a systematic review to understand the factors that influence the acceptability of social and health interventions among persons with lived experience of homelessness. Methods: We searched through eight bibliographic databases and selected grey literature sources for articles that were published between 1994 and 2019. We selected primary studies that reported on the experiences of homeless populations interacting with practitioners and service providers working in permanent supportive housing, case management, interventions for substance use, income assistance, and women- and youth-specific interventions. Each study was independently assessed for its methodological quality. We used a framework analysis to identify key findings and used the GRADE-CERQual approach to assess confidence in the key findings. Findings: Our search identified 11,017 citations of which 35 primary studies met our inclusion criteria. Our synthesis highlighted that individuals were marginalized, dehumanized and excluded by their lived homelessness experience. As a result, trust and personal safety were highly valued within human interactions. Lived experience of homelessness influenced attitudes toward health and social service professionals and sometimes led to reluctance to accept interventions. Physical and structural violence intersected with low self-esteem, depression and homeless-related stigma. Positive self-identity facilitated links to long-term and integrated services, peer support, and patient-centred engagement. Conclusions: Individuals with lived experience of homelessness face considerable marginalization, dehumanization and structural violence. Practitioners and social service providers should consider anti-oppressive approaches and provide, refer to, or advocate for health and structural interventions using the principles of trauma-informed care. Accepting and respecting others as they are, without judgment, may help practitioners navigate barriers to inclusiveness, equitability, and effectiveness for primary care that targets this marginalized population

Potential for diagnosis of infectious disease from the 100,000 Genomes Project Metagenomic Dataset: Recommendations for reporting results

The identification of microbiological infection is usually a diagnostic investigation, a complex process that is firstly initiated by clinical suspicion. With the emergence of high-throughput sequencing (HTS) technologies, metagenomic analysis has unveiled the power to identify microbial DNA/RNA from a diverse range of clinical samples (1). Metagenomic analysis of whole human genomes at the clinical/research interface bypasses the steps of clinical scrutiny and targeted testing and has the potential to generate unexpected findings relating to infectious and sometimes transmissible disease. There is no doubt that microbial findings that may have a significant impact on a patient’s treatment and their close contacts should be reported to those with clinical responsibility for the sample-donating patient. There are no clear recommendations on how such findings that are incidental, or outside the original investigation, should be handled. Here we aim to provide an informed protocol for the management of incidental microbial findings as part of the 100,000 Genomes Projectwhich may have broader application in this emerging field. As with any other clinical information, we aim to prioritise the reporting of data that are most likely to be of benefit to the patient and their close contacts. We also set out to minimize risks, costs and potential anxiety associated with the reporting of results that are unlikely to be of clinical significance. Our recommendations aim to support the practice of microbial metagenomics by providing a simplified pathway that can be applied to reporting the identification of potential pathogens from metagenomic datasets. Given that the ambition for UK sequenced human genomes over the next 5 years has been set to reach 5 million and the field of metagenomics is rapidly evolving, the guidance will be regularly reviewed and will likely adapt over time as experience develops

Design Build

The 2011 Design/Build Studio included 13 undergraduate architects, 2 graduate architects, 6 landscape architects, and 1 interior designer. Under the careful supervision and guidance of Bruce Bassler, this team worked to design and deliver a complete sleeping cabin to the Scenic Park campground in South Sioux City, Nebraska

Changes in health in England, with analysis by English regions and areas of deprivation, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

BACKGROUND: In the Global Burden of Disease Study 2013 (GBD 2013), knowledge about health and its determinants has been integrated into a comparable framework to inform health policy. Outputs of this analysis are relevant to current policy questions in England and elsewhere, particularly on health inequalities. We use GBD 2013 data on mortality and causes of death, and disease and injury incidence and prevalence to analyse the burden of disease and injury in England as a whole, in English regions, and within each English region by deprivation quintile. We also assess disease and injury burden in England attributable to potentially preventable risk factors. England and the English regions are compared with the remaining constituent countries of the UK and with comparable countries in the European Union (EU) and beyond. METHODS: We extracted data from the GBD 2013 to compare mortality, causes of death, years of life lost (YLLs), years lived with a disability (YLDs), and disability-adjusted life-years (DALYs) in England, the UK, and 18 other countries (the first 15 EU members [apart from the UK] and Australia, Canada, Norway, and the USA [EU15+]). We extended elements of the analysis to English regions, and subregional areas defined by deprivation quintile (deprivation areas). We used data split by the nine English regions (corresponding to the European boundaries of the Nomenclature for Territorial Statistics level 1 [NUTS 1] regions), and by quintile groups within each English region according to deprivation, thereby making 45 regional deprivation areas. Deprivation quintiles were defined by area of residence ranked at national level by Index of Multiple Deprivation score, 2010. Burden due to various risk factors is described for England using new GBD methodology to estimate independent and overlapping attributable risk for five tiers of behavioural, metabolic, and environmental risk factors. We present results for 306 causes and 2337 sequelae, and 79 risks or risk clusters. FINDINGS: Between 1990 and 2013, life expectancy from birth in England increased by 5·4 years (95% uncertainty interval 5·0-5·8) from 75·9 years (75·9-76·0) to 81·3 years (80·9-81·7); gains were greater for men than for women. Rates of age-standardised YLLs reduced by 41·1% (38·3-43·6), whereas DALYs were reduced by 23·8% (20·9-27·1), and YLDs by 1·4% (0·1-2·8). For these measures, England ranked better than the UK and the EU15+ means. Between 1990 and 2013, the range in life expectancy among 45 regional deprivation areas remained 8·2 years for men and decreased from 7·2 years in 1990 to 6·9 years in 2013 for women. In 2013, the leading cause of YLLs was ischaemic heart disease, and the leading cause of DALYs was low back and neck pain. Known risk factors accounted for 39·6% (37·7-41·7) of DALYs; leading behavioural risk factors were suboptimal diet (10·8% [9·1-12·7]) and tobacco (10·7% [9·4-12·0]). INTERPRETATION: Health in England is improving although substantial opportunities exist for further reductions in the burden of preventable disease. The gap in mortality rates between men and women has reduced, but marked health inequalities between the least deprived and most deprived areas remain. Declines in mortality have not been matched by similar declines in morbidity, resulting in people living longer with diseases. Health policies must therefore address the causes of ill health as well as those of premature mortality. Systematic action locally and nationally is needed to reduce risk exposures, support healthy behaviours, alleviate the severity of chronic disabling disorders, and mitigate the effects of socioeconomic deprivation. FUNDING: Bill & Melinda Gates Foundation and Public Health England.Bill & Melinda Gates Foundation; Public Health EnglandThis is the final version of the article. It first appeared from Elsevier via http://dx.doi.org/10.1016/S0140-6736(15)00195-

The learning transfer system approach to estimating the benefits of training: empirical evidence

Three steps must be implemented if a training programme is to be successful. The first is the identification of needs to identify what training is required. The second is an analysis of the firm to identify the issues that will affect the ability of the firm to exploit new skills. The third is an evaluation of the training to ensure that sufficient resources are applied to implement and to integrate the training programme. These latter two steps come under the heading of learning transfer. The article presents the findings of an application of this approach. The analysis shows the richness of the information that results from this approach and outlines its operational importance for managers engaged in decisionmaking or in the design of training programmes. In addition, it suggests the next steps in the research towards improving the tools available for the evaluation of training