A Paradox for Environmental Education: How can we ‘Deliver Training to Targets’ using ‘Participatory, Reflective Approaches’?

Recent advances in environmental education have promoted participatory, active learning approaches. In this context, this paper reports on an evaluation of an environmental training component, integrated within a development programme on the Wild Coast, South Africa. Despite the adaptive planning framework and recommendations from the monitoring team, the programme failed to achieve action-based environmental education to the extent required. In addition, there were tensions between the ‘participatory, reflective approach’ promoted and the ethos of the development programme that was expected to ‘deliver training to targets’. Although problems were experienced in this case, it is proposed that action-based environmental training, combining capacity building and ecological problem solving, is an effective method to incorporate an environmental component into many development initiatives. It is suggested that the paradox observed between participation and delivery is a general feature of such programmes but was exacerbated by the logframe characteristics, structure and constraints of this particular development programme. In future programmes this tension should be acknowledged and exploited positively to improve both environmental education and the development itself. A framework for integration of environmental training within a development or conservation initiative is presented

A bisphosphonate for F-19-magnetic resonance imaging

19F-magnetic resonance imaging (MRI) is a promising technique that may allow us to measure the concentration of exogenous fluorinated imaging probes quantitatively in vivo. Here, we describe the synthesis and characterisation of a novel geminal bisphosphonate (19F-BP) that contains chemically-equivalent fluorine atoms that show a single and narrow 19F resonance and a bisphosphonate group that may be used for labelling inorganic materials based in calcium phosphates and metal oxides. The potential of 19F-BP to provide contrast was analysed in vitro and in vivo using 19F-MRI. In vitro studies demonstrated the potential of 19F-BP as an MRI contrast agent in the millimolar concentration range with signal-to-noise ratios (SNR) comparable to previously reported fluorinated probes. The preliminary in vivo MRI study reported here allowed us to visualise the biodistribution of 19F-BP, showing uptake in the liver and in the bladder/urinary system areas. However, bone uptake was not observed. In addition, 19F-BP showed undesirable toxicity effects in mice that prevent further studies with this compound at the required concentrations for MRI contrast. This study highlights the importance of developing 19F MRI probes with the highest signal intensity achievable

An evaluation of the Department of Health’s Health and Social Care Volunteering Fund

The Health and Social Care Volunteering Fund (HSCVF) is an innovative programme that was established in 2009 by the Department of Health (DH) to build organisational and community capacity for volunteering through a national and local grant scheme. The HSCVF has offered both funds and tailored support to health and social care projects delivered by Voluntary, Community and Social Enterprise (VCSE) organisations. The HSCVF is managed by a partnership led by Ecorys and with expertise from leading national voluntary sector organisations: Attend, Community Service Volunteers (CSV) and Primetimers. To date the HSCVF has funded a total of 157 local and national projects, of which 114 are currently live. This report presents findings from an evaluation of the HSCVF with a specific focus on the 2010/2011 national and local projects, conducted by a team from the Institute for Health & Wellbeing at Leeds Metropolitan University. It presents evidence on the extent to which, how and in what ways the HSCVF programme has built organisational and community capacity across the national and local HSCVF projects, as well as on the health and social outcomes that resulted

Digital Dilemma 2018: Digital Presentations in Biological Anthropology and Bioarchaeology

In academia, funding for conference attendance is limited, and both students and early-career researchers are therefore only able to attend a limited number of conferences. This means that, typically, researchers need to choose between attending multiple local and, at times, more affordable conferences, or one or two large, expensive, international conferences. Local and less expensive conferences may be research-specific but will have a smaller audience and lower networking potential. In biological anthropology and bioarchaeology, the majority of these larger annual conferences are held in North America and Western Europe where travel and accommodation costs can be very high for those outside of these regions. These costs, in addition to visa restrictions, reduce the diversity of participants at academic conferences, skewing attendance to students and researchers from the host countries. Not only does this disadvantage individuals outside of the typical host-countries, but it also limits the breadth of academic dialogue, with inclusion in academic conferences determined all too often by financial resources rather than academic value. This paper discusses the demographics and lack of diversity at some of these large conferences and the factors that are known to limit international conference travel. It then presents the benefits of digital presentation methods using Digital Dilemma 2018 as a case study for how digital presentation methods can be combined with physical presentations at minimal cost and time. We hope that this will encourage more conferences to offer a digital presentation option in the future

A Quantitative Theory of Laser-Generated Ultrasound

The basic work of R. M. White [1] on the generation of elastic waves by transient surface heating was followed by numerous theoretical and experimental investigations, to understand the nature of the strange elastic waveforms obtained and to make this technique available for practical applications [2]. The theoretical considerations of L. R. F. Rose [3] about a point of dilation just below the surface of an elastic halfspace leads to a reasonable qualitative agreement with experiments, but do not relate all relevant material and laser beam parameters to the displacement field. This contributions outlines the application of an extended theory to a complete system of nondestructive evaluation, taking into account the structure of different laser modes, the optical, thermal and elastic material properties as well as the finite area of a capacitance transducer

Personalised randomised controlled trial designs—a new paradigm to define optimal treatments for carbapenem-resistant infections

Antimicrobial resistance is impacting treatment decisions for, and patient outcomes from, bacterial infections worldwide, with particular threats from infections with carbapenem-resistant Enterobacteriaceae, Acinetobacter baumanii, or Pseudomonas aeruginosa. Numerous areas of clinical uncertainty surround the treatment of these highly resistant infections, yet substantial obstacles exist to the design and conduct of treatment trials for carbapenem-resistant bacterial infections. These include the lack of a widely acceptable optimised standard of care and control regimens, varying antimicrobial susceptibilities and clinical contraindications making specific intervention regimens infeasible, and diagnostic and recruitment challenges. The current single comparator trials are not designed to answer the urgent public health question, identified as a high priority by WHO, of what are the best regimens out of the available options that will significantly reduce morbidity, costs, and mortality. This scenario has an analogy in network meta-analysis, which compares multiple treatments in an evidence synthesis to rank the best of a set of available treatments. To address these obstacles, we propose extending the network meta-analysis approach to individual randomisation of patients. We refer to this approach as a Personalised RAndomised Controlled Trial (PRACTical) design that compares multiple treatments in an evidence synthesis, to identify, overall, which is the best treatment out of a set of available treatments to recommend, or how these different treatments rank against each other. In this Personal View, we summarise the design principles of personalised randomised controlled trial designs. Specifically, of a network of different potential regimens for life-threatening carbapenem-resistant infections, each patient would be randomly assigned only to regimens considered clinically reasonable for that patient at that time, incorporating antimicrobial susceptibility, toxicity profile, pharmacometric properties, availability, and physician assessment. Analysis can use both direct and indirect comparisons across the network, analogous to network meta-analysis. This new trial design will maximise the relevance of the findings to each individual patient, and enable the top-ranked regimens from any personalised randomisation list to be identified, in terms of both efficacy and safety

The 'Goldilocks Zone': getting the measure of manual asymmetries

Some studies have shown that manual asymmetries decrease in older age. These results have often been explained with reference to models of reduced hemispheric specialisation. An alternative explanation, however, is that hand differences are subtle, and capturing them requires tasks that yield optimal performance with both hands. Whereas the hemispheric specialisation account implies that reduced manual asymmetries should be reliably observed in older adults, the ‘measurement difficulty’ account suggests that manual asymmetries will be hard to detect unless a task has just the right level of difficulty – i.e. within the ‘Goldilocks Zone’, where it is not too easy or too hard, but just right. Experiment One tested this hypothesis and found that manual asymmetries were only detected when participants performed in this zone; specifically, performance on a tracing task was only superior in the preferred hand when task constraints were high (i.e. fast speed tracing). Experiment Two used three different tasks to examine age differences in manual asymmetries; one task produced no asymmetries, whilst two tasks revealed asymmetries in both younger and older groups (with poorer overall performance in the old group across all tasks). Experiment Three revealed task-dependent asymmetries in both age groups, but highlighted further detection difficulties linked with the metric of performance and compensatory strategies used by participants. Results are discussed with reference to structural learning theory, whereby we suggest that the processes of inter-manual transfer lead to relatively small performance differences between the hands (despite a strong phenomenological sense of performance disparities)

Geographical trends in research: a preliminary analysis on authors' affiliations

In the last decade, research literature reached an enormous volume with an unprecedented current annual increase of 1.5 million new publications. As research gets ever more global and new countries and institutions, either from academia or corporate environment, start to contribute with their share, it is important to monitor this complex scenario and understand its dynamics. We present a study on a conference proceedings dataset extracted from Springer Nature Scigraph that illustrates insightful geographical trends and highlights the unbalanced growth of competitive research institutions worldwide. Results emerged from our micro and macro analysis show that the distributions among countries of institutions and papers follow a power law, and thus very few countries keep producing most of the papers accepted by high-tier conferences. In addition, we found that the annual and overall turnover rate of the top 5, 10 and 25 countries is extremely low, suggesting a very static landscape in which new entries struggle to emerge. Finally, we highlight the presence of an increasing gap between the number of institutions initiating and overseeing research endeavours (i.e. first and last authors' affiliations) and the total number of institutions participating in research. As a consequence of our analysis, the paper also discusses our experience in working with affiliations: an utterly simple matter at first glance, that is instead revealed to be a complex research and technical challenge yet far from being solved

Liver transplant rejection. Angiographic findings in 35 patients

Rejection, the leading cause of liver allograft dysfunction, is usually detected by liver biopsy. The purpose of this study was to determine if there are angiographic findings that correlate with this posttransplantation complication. In a retrospective study, the angiograms of 35 patients with histologically proven allograft rejection were reviewed. The examinations were done because of suspected posttransplantation vascular complications. Abnormal hepatic arteriograms were observed in 30 (86%). Eleven (37%) of the 30 had hepatic artery thrombosis (all had acute rejection). Nineteen (63%) of the 30 had varying degrees of intrahepatic arterial narrowing (14 had acute and five had chronic rejection). Additional findings in patients with acute rejection included (1) stretching of the intrahepatic arterial tree (five cases) and (2) slow flow, poor peripheral arterial filling, and a decrease in the number of intrahepatic arteries (10 cases total). Intrahepatic branch vessel stenoses and occlusions were seen in four patients with chronic rejection. We conclude that there is good correlation between the angiographic findings and histologic evidence of rejection. Although angiography is not advocated as a test for transplant rejection, detectable of certain findings raises the possibility of rejection

A comparison of strategies for selecting auxiliary variables for multiple imputation

Multiple imputation (MI) is a popular method for handling missing data. Auxiliary variables can be added to the imputation model(s) to improve MI estimates. However, the choice of which auxiliary variables to include is not always straightforward. Several data-driven auxiliary variable selection strategies have been proposed, but there has been limited evaluation of their performance. Using a simulation study we evaluated the performance of eight auxiliary variable selection strategies: (1, 2) two versions of selection based on correlations in the observed data; (3) selection using hypothesis tests of the “missing completely at random” assumption; (4) replacing auxiliary variables with their principal components; (5, 6) forward and forward stepwise selection; (7) forward selection based on the estimated fraction of missing information; and (8) selection via the least absolute shrinkage and selection operator (LASSO). A complete case analysis and an MI analysis using all auxiliary variables (the “full model”) were included for comparison. We also applied all strategies to a motivating case study. The full model outperformed all auxiliary variable selection strategies in the simulation study, with the LASSO strategy the best performing auxiliary variable selection strategy overall. All MI analysis strategies that we were able to apply to the case study led to similar estimates, although computational time was substantially reduced when variable selection was employed. This study provides further support for adopting an inclusive auxiliary variable strategy where possible. Auxiliary variable selection using the LASSO may be a promising alternative when the full model fails or is too burdensome