102 research outputs found
Enrollment Decision-Making by Students in Forestry and Related Natural Resource Degree Programmes Globally
A survey of 396 undergraduate and graduate students from 51 countries on 5 continents currently enrolled in Forestry or Related Natural Resource (FRNR) degree programmes was conducted of attendees to the International Union of Forest Research Organizations\u27 (IUFRO) conference in Salt Lake City, Utah, 2014. These perspectives come from some of the most active students in their respective fields. We explored the motivating reasons for enrolling in their current FRNR programme, and conversely why they may have been hesitant to do so. Results indicate that enjoyment of nature was the most important factor on average driving the decision to enroll, closely followed by job satisfaction, concern for the environment, enjoyment of outdoor recreation, being outdoors, and an interest in subject material. Hesitancy factors included earning potential, availability of funding/scholarships, and politically contentious issues. A number of significant differences were found across demographic categories. Of particular note was the greater hesitancy on the part of women and people of color to enroll in FRNR degree programmes compared to their white male counterparts. We discuss the limitations of our study arising from its international scope and imbalance of responses among countries and regions. HIGHLIGHTS Forestry and Related Natural Resources (FRNR) students from 51 countries report that enjoyment of nature was the most important factor driving their decision to enroll. Decision factors that caused hesitation included earning potential, availability of funding, and political issues. Importance factors differed significantly between genders, race/ethnicity, academic standing, world region, and social background (i.e. urban vs rural). Women and people of color from multiple world regions had a greater hesitancy to enroll in an FRNR programme than their white male counterparts. Implications for recruitment and retention include the need for continual diversity and inclusion efforts and a balance between personal preferences and employability
Bond graph modelling of chemoelectrical energy transduction
Energy-based bond graph modelling of biomolecular systems is extended to include chemoelectrical transduction thus enabling integrated thermodynamically-compliant modelling of chemoelectrical systems in general and excitable membranes in particular. Our general approach is illustrated by recreating a well-known model of an excitable membrane. This model is used to investigate the energy consumed during a membrane action potential thus contributing to the current debate on the trade-off between the speed of an action potential event and energy consumption. The influx of Na+ is often taken as a proxy for energy consumption; in contrast, this paper presents an energy based model of action potentials. As the energy based approach avoids the assumptions underlying the proxy approach it can be directly used to compute energy consumption in both healthy and diseased neurons. These results are illustrated by comparing the energy consumption of healthy and degenerative retinal ganglion cells using both simulated and in vitro data
Re-visiting Meltsner: Policy Advice Systems and the Multi-Dimensional Nature of Professional Policy Analysis
10.2139/ssrn.15462511-2
Computerised interpretation of fetal heart rate during labour (INFANT): a randomised controlled trial
Background. Continuous electronic fetal heart-rate monitoring is widely used during labour, and computerised interpretation could increase its usefulness. We aimed to establish whether the addition of decision-support software to assist in the interpretation of cardiotocographs affected the number of poor neonatal outcomes.
Methods. In this unmasked randomised controlled trial, we recruited women in labour aged 16 years or older having continuous electronic fetal monitoring, with a singleton or twin pregnancy, and at 35 weeks’ gestation or more at 24 maternity units in the UK and Ireland. They were randomly assigned (1:1) to decision support with the INFANT system or no decision support via a computer-generated stratified block randomisation schedule. The primary outcomes were poor neonatal outcome (intrapartum stillbirth or early neonatal death excluding lethal congenital anomalies, or neonatal encephalopathy, admission to the neonatal unit within 24 h for ≥48 h with evidence of feeding difficulties, respiratory illness, or encephalopathy with evidence of compromise at birth), and developmental assessment at age 2 years in a subset of surviving children. Analyses were done by intention to treat. This trial is completed and is registered with the ISRCTN Registry, number 98680152.
Findings. Between Jan 6, 2010, and Aug 31, 2013, 47062 women were randomly assigned (23515 in the decision-support group and 23547 in the no-decision-support group) and 46042 were analysed (22987 in the decision-support group and 23055 in the no-decision-support group). We noted no difference in the incidence of poor neonatal outcome between the groups—172 (0·7%) babies in the decision-support group compared with 171 (0·7%) babies in the no-decision-support group (adjusted risk ratio 1·01, 95% CI 0·82–1·25). At 2 years, no significant differences were noted in terms of developmental assessment.
Interpretation. Use of computerised interpretation of cardiotocographs in women who have continuous electronic fetal monitoring in labour does not improve clinical outcomes for mothers or babies
Parkinson’s disease mouse models in translational research
Animal models with high predictive power are a prerequisite for translational research. The closer the similarity of a model to Parkinson’s disease (PD), the higher is the predictive value for clinical trials. An ideal PD model should present behavioral signs and pathology that resemble the human disease. The increasing understanding of PD stratification and etiology, however, complicates the choice of adequate animal models for preclinical studies. An ultimate mouse model, relevant to address all PD-related questions, is yet to be developed. However, many of the existing models are useful in answering specific questions. An appropriate model should be chosen after considering both the context of the research and the model properties. This review addresses the validity, strengths, and limitations of current PD mouse models for translational research
Quality standards for the management of alcohol-related liver disease: consensus recommendations from the British Association for the Study of the Liver and British Society of Gastroenterology ARLD special interest group
Objective Alcohol-related liver disease (ALD) is the most
common cause of liver-related ill health and liver-related
deaths in the UK, and deaths from ALD have doubled
in the last decade. The management of ALD requires
treatment of both liver disease and alcohol use; this
necessitates effective and constructive multidisciplinary
working. To support this, we have developed quality
standard recommendations for the management of ALD,
based on evidence and consensus expert opinion, with the
aim of improving patient care.
Design A multidisciplinary group of experts from the
British Association for the Study of the Liver and British
Society of Gastroenterology ALD Special Interest Group
developed the quality standards, with input from the
British Liver Trust and patient representatives.
Results The standards cover three broad themes: the
recognition and diagnosis of people with ALD in primary
care and the liver outpatient clinic; the management of
acutely decompensated ALD including acute alcoholrelated hepatitis and the posthospital care of people
with advanced liver disease due to ALD. Draft quality
standards were initially developed by smaller working
groups and then an anonymous modified Delphi voting
process was conducted by the entire group to assess
the level of agreement with each statement. Statements
were included when agreement was 85% or greater.
Twenty-four quality standards were produced from this
process which support best practice. From the final
list of statements, a smaller number of auditable key
performance indicators were selected to allow services to
benchmark their practice and an audit tool provided.
Conclusion It is hoped that services will review their
practice against these recommendations and key
performance indicators and institute service development
where needed to improve the care of patients with ALD
Closed-loop control of product properties in metal forming
Metal forming processes operate in conditions of uncertainty due to parameter variation and imperfect understanding. This uncertainty leads to a degradation of product properties from customer specifications, which can be reduced by the use of closed-loop control. A framework of analysis is presented for understanding closed-loop control in metal forming, allowing an assessment of current and future developments in actuators, sensors and models. This leads to a survey of current and emerging applications across a broad spectrum of metal forming processes, and a discussion of likely developments.Engineering and Physical Sciences Research Council (Grant ID: EP/K018108/1)This is the final version of the article. It first appeared from Elsevier via https://doi.org/10.1016/j.cirp.2016.06.00
The many meanings of evidence: a comparative analysis of the forms and roles of evidence within three health policy processes in Cambodia
Background Discussions within the health community routinely emphasise the importance of evidence in informing policy formulation and implementation. Much of the support for the evidence-based policy movement draws from concern that policy decisions are often based on inadequate engagement with high-quality evidence. In many such discussions, evidence is treated as differing only in quality, and assumed to improve decisions if it can only be used more. In contrast, political science scholars have described this as an overly simplistic view of the policy-making process, noting that research ‘use’ can mean a variety of things and rely on nuanced aspects of political systems. An approach more in recognition of how policy-making systems operate in practice can be to consider how institutions and ideas influence which pieces of evidence appear to be relevant for, and are used within, different policy processes. Methods Drawing on in-depth interviews undertaken in 2015/16 with key health sector stakeholders in Cambodia, we investigate the evidence perceived to be relevant to policy decisions for three contrasting health policy examples – tobacco control, HIV/AIDS and performance-based salary incentives. These cases allow us to examine the ways that policy relevant evidence may differ given the framing of the issue and the broader institutional context in which evidence is considered. Results The three health issues show few similarities in how pieces of evidence were used in various aspects of policy-making, despite all being discussed within a broad policy environment in which evidence-based policymaking is rhetorically championed. Instead, we find that evidence use can be better understood by mapping how these health policy issues differ in terms of the issue characteristics, and also in terms of the stakeholders structurally established as having dominant influence for each issue. Both of these have important implications for evidence use. Contrasting concerns of key stakeholders meant that evidence related to differing issues could be understood in terms of how it was policy relevant. The stakeholders involved, however, could further be seen to possess differing logics about how to go about achieving their various outcomes – logics that could further help explain the differences seen in evidence utilisation. Conclusion A comparative approach reiterates that evidence is not a uniform concept for which more is obviously better, but rather illustrates how different constructions and pieces of evidence become relevant in relation to the features of specific health policy decisions. An institutional approach that considers the structural position of stakeholders with differing core goals or objectives, as well as their logics related to evidence utilisation, can further help to understand some of the complexities of evidence use in health policymaking
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