Factors in Agency Development: A Supervisory Teaching Perspective

Promoting student agency is an emerging priority in education. Supervisory teaching is a potentially useful approach for supporting agency development. This approach includes two characteristics, namely, tutorial learning conversations between the teacher and a group of one to four students, and students learning independently for extended periods of time. Supervisory teaching lessons in three primary-school classrooms were observed over a period of five months and teachers were interviewed as part of the data collection process. Five key factors were found to support students to have more agency in their learning: independence and ownership, scaffolding, students as teachers, joyfulness, and reflection. The findings point toward several factors observed within supervisory teaching that led to greater student agency, including individualised learning conversations, allowing students control over their learning, the benefit of reduced structure in the learning environment, and the fact that joyfulness in learning is a significant factor in elevating student agency

What We Know about the Public’s Level of Concern for Farm Animal Welfare in Food Production in Developed Countries

Population growth and rising consumption of meat, dairy, eggs and fish are forcing the world to face the intersecting challenges of how to sustainably feed a population expected to exceed 9 billion by 2050, while also controlling the impact of food production on the planet, on people and on animals. This review acknowledges the absence of a globally accepted definition of animal welfare and then explores the literature regarding different levels of concern for animal welfare in food production by such stakeholders as veterinarians, farmers, and the general public. It focuses on the evidence that the general public’s level of concern for animal welfare is linked to various demographic and personal characteristics, such as age, gender, religion, location, meat eating, and knowledge of animal welfare. Certain animals have characteristics that influence concern for their welfare, with those species that are considered more intelligent being afforded more concern. There is compelling evidence that the general public’s understanding of animal welfare in food production is poor. Acknowledging that public concern can be a driving force to change current production methods, the authors suggest widespread consciousness raising to redefine socially acceptable methods of food production from animals and to ensure that it remains in step with societal concerns

Imaging of adult ocular and orbital pathology - a pictorial review

Orbital pathology often presents a diagnostic challenge to the reporting radiologist. The aetiology is protean, and clinical input is therefore often necessary to narrow the differential diagnosis. With this manuscript, we provide a pictorial review of adult ocular and orbital pathology.peer-reviewe

Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets

Bayesian inference via standard Markov Chain Monte Carlo (MCMC) methods is too computationally intensive to handle large datasets, since the cost per step usually scales like $\Theta(n)$ in the number of data points $n$. We propose the Scalable Metropolis-Hastings (SMH) kernel that exploits Gaussian concentration of the posterior to require processing on average only $O(1)$ or even $O(1/\sqrt{n})$ data points per step. This scheme is based on a combination of factorized acceptance probabilities, procedures for fast simulation of Bernoulli processes, and control variate ideas. Contrary to many MCMC subsampling schemes such as fixed step-size Stochastic Gradient Langevin Dynamics, our approach is exact insofar as the invariant distribution is the true posterior and not an approximation to it. We characterise the performance of our algorithm theoretically, and give realistic and verifiable conditions under which it is geometrically ergodic. This theory is borne out by empirical results that demonstrate overall performance benefits over standard Metropolis-Hastings and various subsampling algorithms

Probability for Primordial Black Holes Pair in 1/R Gravity

The probability for quantum creation of an inflationary universe with a pair of black holes in 1/R - gravitational theory has been studied. Considering a gravitational action which includes a cosmological constant ($\Lambda$) in addition to $\delta R^{- 1}$ term, the probability has been evaluated in a semiclassical approximation with Hartle-Hawking boundary condition. We obtain instanton solutions determined by the parameters $\delta$ and $\Lambda$ satisfying the constraint $\delta \leq \frac{4 \Lambda^{2}}{3}$. However, we note that two different classes of instanton solutions exists in the region $0 < \delta < \frac{4 \Lambda^{2}}{3}$. The probabilities of creation of such configurations are evaluated. It is found that the probability of creation of a universe with a pair of black holes is strongly suppressed with a positive cosmological constant except in one case when $0 < \delta < \Lambda^{2}$. It is also found that gravitational instanton solution is permitted even with $\Lambda = 0$ but one has to consider $\delta < 0$. However, in the later case a universe with a pair of black holes is less probable.Comment: 15 pages, no figure. submitted to Phys. Rev.

Multivariate classification with random forests for gravitational wave searches of black hole binary coalescence

Searches for gravitational waves produced by coalescing black hole binaries with total masses ≳25  M_⊙ use matched filtering with templates of short duration. Non-Gaussian noise bursts in gravitational wave detector data can mimic short signals and limit the sensitivity of these searches. Previous searches have relied on empirically designed statistics incorporating signal-to-noise ratio and signal-based vetoes to separate gravitational wave candidates from noise candidates. We report on sensitivity improvements achieved using a multivariate candidate ranking statistic derived from a supervised machine learning algorithm. We apply the random forest of bagged decision trees technique to two separate searches in the high mass (≳25  M_⊙) parameter space. For a search which is sensitive to gravitational waves from the inspiral, merger, and ringdown of binary black holes with total mass between 25  M_⊙ and 100  M_⊙, we find sensitive volume improvements as high as 70_(±13)%–109_(±11)% when compared to the previously used ranking statistic. For a ringdown-only search which is sensitive to gravitational waves from the resultant perturbed intermediate mass black hole with mass roughly between 10  M_⊙ and 600  M_⊙, we find sensitive volume improvements as high as 61_(±4)%–241_(±12)% when compared to the previously used ranking statistic. We also report how sensitivity improvements can differ depending on mass regime, mass ratio, and available data quality information. Finally, we describe the techniques used to tune and train the random forest classifier that can be generalized to its use in other searches for gravitational waves

Empty rituals? A qualitative study of users’ experience of monitoring &amp; evaluation systems in HIV interventions in western India

In global health initiatives, particularly in the context of private philanthropy and its ‘business minded’ approach, detailed programme data plays an increasing role in informing assessments, improvements, evaluations, and ultimately continuation or discontinuation of funds for individual programmes. The HIV/AIDS literature predominantly treats monitoring as unproblematic. However, the social science of audit and indicators emphasises the constitutive power of indicators, noting that their effects at a grassroots level are often at odds with the goals specified in policy. This paper investigates users' experiences of Monitoring and Evaluation (M&E) systems in the context of HIV interventions in western India. Six focus groups (totalling 51 participants) were held with employees of 6 different NGOs working for government or philanthropy-funded HIV interventions for sex workers in western India. Ten donor employees were interviewed. Thematic analysis was conducted. NGO employees described a major gap between what they considered their “real work” and the indicators used to monitor it. They could explain the official purposes of M&E systems in terms of programme improvement and financial accountability. More cynically, they valued M&E experience on their CVs and the rhetorical role of data in demonstrating their achievements. They believed that inappropriate and unethical means were being used to meet targets, including incentives and coercion, and criticised indicators for being misleading and inflexible. Donor employees valued the role of M&E in programme improvement, financial accountability, and professionalising NGO-donor relationships. However, they were suspicious that NGOs might be falsifying data, criticised the insensitivity of indicators, and complained that data were under-used. For its users, M& E appears an ‘empty ritual’, enacted because donors require it, but not put to local use. In this context, monitoring is constituted as an instrument of performance management rather than as a means of rational programme improvement

The Mixmaster Universe in Five Dimensions

We consider a five dimensional vacuum cosmology with Bianchi type-IX spatial geometry and an extra non-compact coordinate. Finding a new class of solutions, we examine and rule out the possibility of deterministic chaos. We interpret this result within the context of induced matter theory.Comment: 13 page

Lifetime cardiovascular management of patients with previous Kawasaki disease.

Kawasaki disease (KD) is an inflammatory disorder of young children, associated with vasculitis of the coronary arteries with subsequent aneurysm formation in up to one-third of untreated patients. Those who develop aneurysms are at life-long risk of coronary thrombosis or the development of stenotic lesions, which may lead to myocardial ischaemia, infarction or death. The incidence of KD is increasing worldwide, and in more economically developed countries, KD is now the most common cause of acquired heart disease in children. However, many clinicians in the UK are unaware of the disorder and its long-term cardiac complications, potentially leading to late diagnosis, delayed treatment and poorer outcomes. Increasing numbers of patients who suffered KD in childhood are transitioning to the care of adult services where there is significantly less awareness and experience of the condition than in paediatric services. The aim of this document is to provide guidance on the long-term management of patients who have vascular complications of KD and guidance on the emergency management of acute coronary complications. Guidance on the management of acute KD is published elsewhere