Economics as norms contestation: the construction of crisis response in the transatlantic space

In 2011, Iceland President Ólafur Ragnar Grimsson argued that the financial crisis that so roiled his country had shown that political science could no longer “play second fiddle to the models of modern economics.” Implicit in this statement is one of the governing myths of modern economics, namely that economic models are objective, predictive, scientific frameworks that explain the naturalistic operation of economic forces. Yet, the ongoing financial crisis demonstrates that economics is instead something far more social. We argue that in the response to the crisis, economic models have functioned as packages of norms that establish the field of political contestation, delimiting the range of policy responses. If economic models function as packages of norms rather than value-neutral explanations of economic functionality, then they become amenable to analysis using the tools developed in constructivism. Specifically, we draw on Checkel’s work exploring the factors that shape norm diffusion to examine the dynamics of norms contestation, seeking to understand difference in economic norms acceptance and the role of economic-models-as-norms-packages in the transatlantic debates over how to address the crisis. We find that constructivism may not take us far enough to explain the paradox of the austerity push in Europe and therefore propose a coupling of constructivist insights with a more critically inspired IPE approach

Optimizing psychological safety- perspectives of Standardized Patients who identify as LGBTQ+

Innovative collaboration with LGBTQ+ Standardized Patients yields remarkable impact in development of inclusive sexual health curriculahttps://knowledgeconnection.mainehealth.org/lambrew-retreat-2023/1021/thumbnail.jp

Simulation to Improve Health Equity- Pilot results from a Standardized Patient-based learning opportunity to practice taking an inclusive sexual health history

Improving Inclusive Communication Pilot results from a Simulation-based learning opportunity to practice taking a sexual health history.https://knowledgeconnection.mainehealth.org/lambrew-retreat-2023/1019/thumbnail.jp

Sea level and turbidity controls on mangrove soil surface elevation change

Increases in sea level are a threat to seaward fringing mangrove forests if levels of inundation exceed the physiological tolerance of the trees; however, tidal wetlands can keep pace with sea level rise if soil surface elevations can increase at the same pace as sea level rise. Sediment accretion on the soil surface and belowground production of roots are proposed to increase with increasing sea level, enabling intertidal habitats to maintain their position relative to mean sea level, but there are few tests of these predictions in mangrove forests. Here we used variation in sea level and the availability of sediments caused by seasonal and inter-annual variation in the intensity of La Nina-El Nino to assess the effects of increasing sea level on surface elevation gains and contributing processes (accretion on the surface, subsidence and root growth) in mangrove forests. We found that soil surface elevation increased with mean sea level (which varied over 250 mm during the study) and with turbidity at sites where fine sediment in the water column is abundant. In contrast, where sediments were sandy, rates of surface elevation gain were high, but not significantly related to variation in turbidity, and were likely to be influenced by other factors that deliver sand to the mangrove forest. Root growth was not linked to soil surface elevation gains, although it was associated with reduced shallow subsidence, and therefore may contribute to the capacity of mangroves to keep pace with sea level rise. Our results indicate both surface (sedimentation) and subsurface (root growth) processes can influence mangrove capacity to keep pace with sea level rise within the same geographic location, and that current models of tidal marsh responses to sea level rise capture the major feature of the response of mangroves where fine, but not coarse, sediments are abundant

A New Model for Evaluation of Interventions to Prevent Obesity in Early Childhood

Background: Childhood obesity is a serious public health issue. In Australia, 1 in 4 children is already affected by overweight or obesity at the time of school entry. Governments around the world have recognized this problem through investment in the prevention of pediatric obesity, yet few interventions in early childhood have been subjected to economic evaluation. Information on cost-effectiveness is vital to decisions about program implementation. A challenge in evaluating preventive interventions in early childhood is to capture long-term costs and outcomes beyond the duration of an intervention, as the benefits of early obesity prevention will not be realized until some years into the future. However, decisions need to be made in the present, and modeling is one way to inform such decisions.Objective: To describe the conceptual structure of a new health economic model (the Early Prevention of Obesity in CHildhood (EPOCH) model) for evaluating childhood obesity interventions; and to validate the epidemiologic predictions.Methods and Results: We use an individual–level (micro-simulation) method to model BMI trajectories and the progression of obesity from early childhood to adolescence. The equations predicting individual BMI change underpinning our model were derived from data from the population-representative study, the Longitudinal Study of Australian Children (LSAC). Our approach is novel because it will account for costs and benefits accrued throughout childhood and adolescence. As a first step to validate the epidemiological predictions of the model, we used input data representing over 250,000 children aged 4/5 years, and simulated BMI and obesity trajectories until adolescence. Simulated mean BMI and obesity prevalence for boys and girls were verified by nationally-representative data on children at 14/15 years of age.Discussion: The EPOCH model is epidemiologically sound in its prediction of both BMI trajectories and prevalence of obesity for boys and girls. Future developments of the model will include socio-economic position and will incorporate the impacts of obesity on healthcare costs. The EPOCH model will help answer: when is it best to intervene in childhood; what are the most cost-effective approaches and which population groups will benefit most from interventions

Efficacy of Aerial Spraying of Mosquito Adulticide in Reducing Incidence of West Nile Virus, California, 2005

One-sentence summary for table of contents: Aerial spraying reduced incidence of human infection

A mixed methods pilot of Beat the Bugs: a community education course on hygiene, self-care and antibiotics

Background: e-Bug is an international health education resource which support World Health Organization (WHO) public health recommendations by educating young people about microbes, hygiene and antibiotics use. The e-Bug team collaborated with Kingfisher Treasure Seekers to develop a six-session course for community groups called Beat the Bugs covering: microbes; hygiene; antibiotic use; and self-care. A pilot was used to inform further development and evaluation. Methods: Pilot courses with 9–12 adults with learning difficulties and young parents were delivered by community leaders and observed by researchers. Participants completed before and after knowledge questionnaires. Two participant focus groups and two course leader interviews explored views on the course and retention of knowledge. Results: Completed questionnaires and qualitative results showed an improvement in participant knowledge in each session; microbes and antibiotics sessions showed the greatest knowledge improvement. Self-care showed the greatest knowledge retention and participants reported behaviour change including an increase in appropriate hand-washing and tooth-brushing. Conclusion: The Beat the Bugs course is a useful intervention for communities to give individuals the knowledge and confidence to manage their own infection and change behaviour around hygiene, self-care and antibiotics. Beat the Bugs is freely available to download

Recognition of unfamiliar faces

People are excellent at identifying faces familiar to them, even from very low quality images, but are bad at recognising, or even matching, faces that are unfamiliar. In this review we shall consider some of the factors which affect our abilities to match unfamiliar faces. Major differences in orientation (e.g. inversion) or greyscale information (e.g. negation) affect face processing dramatically, and such effects are informative about the nature of the representations derived from unfamiliar faces, suggesting that these are based on relatively low-level image descriptions. Consistent with this, even relatively minor differences in lighting and viewpoint create problems for human face matching, leading to potentially important problems over the use of images from security video images. The relationships between different parts of the face (its "configuration") are as important to the impression created of an upright face as local features themselves, suggesting further constraints on the representations derived from faces. The review then turns to consider what computer face recognition systems may contribute to understanding both the theory and the practical problems of face identification. Computer systems can be used as an aid to person identification, but also in an attempt to model human perceptual processes. There are many approaches to computer recognition of faces, including ones based on low-level image analysis of whole face images, which have potential as models of human performance. Some systems show significant correlations with human perceptions of the same faces, for example recognising distinctive faces more easily. In some circumstances, some systems may exceed human abilities on unfamiliar faces. Finally, we look to the future of work in this area, that will incorporate motion and three-dimensional shape information

Study protocol: The Intensive Care Outcome Network ('ICON') study

<p>Abstract</p> <p>Background</p> <p>Extended follow-up of survivors of ICU treatment has shown many patients suffer long-term physical and psychological consequences that affect their health-related quality of life. The current lack of rigorous longitudinal studies means that the true prevalence of these physical and psychological problems remains undetermined.</p> <p>Methods/Design</p> <p>The ICON (Intensive Care Outcome Network) study is a multi-centre, longitudinal study of survivors of critical illness. Patients will be recruited prior to hospital discharge from 20–30 ICUs in the UK and will be assessed at 3, 6, and 12 months following ICU discharge for health-related quality of life as measured by the Short Form-36 (SF-36) and the EuroQoL (EQ-5D); anxiety and depression as measured by the Hospital Anxiety and Depression Scale (HADS); and post traumatic stress disorder (PTSD) symptoms as measured by the PTSD Civilian Checklist (PCL-C). Postal questionnaires will be used.</p> <p>Discussion</p> <p>The ICON study will create a valuable UK database detailing the prevalence of physical and psychological morbidity experienced by patients as they recover from critical illness. Knowledge of the prevalence of physical and psychological morbidity in ICU survivors is important because research to generate models of causality, prognosis and treatment effects is dependent on accurate determination of prevalence. The results will also inform economic modelling of the long-term burden of critical illness.</p> <p>Trial Registration</p> <p>ISRCTN69112866</p

Genome-Wide Analysis of the World's Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection

Genomic structure in a global collection of domesticated sheep reveals a history of artificial selection for horn loss and traits relating to pigmentation, reproduction, and body size