48,081 research outputs found
Stoat trap tunnel location : GIS predictive modelling to identify the best tunnel location : a thesis submitted in fulfillment of the requirements for the degree of Master of Philosophy in Geographic Information Systems in Massey University
Stoats are recognised as one of the biggest threats to New Zealand's threatened species. They are difficult to control because of their biological characteristics. Currently trapping is the most common type of control technique that has a proven success rate. Research studies have shown that some traps catch more stoats than others. However the reason for this is not well documented. The effectiveness of a trap set is difficult to determine because not all trap locations are the same and not all people have the same ability to select the best location for a trap. This study uses GIS to spatially analyse stoat capture data from a control operation on Secretary Island in conjunction with commonly available vegetation, habitat, diet and home range spatial data to see if there are consistent patterns that could be used as variables in a model that would predict the best place to locate a stoat trap tunnel. The model would then be tested against a similar dataset from Resolution Island. The Department of Conservation supplied the stoat capture data from the control operations on both islands. Standard spatial analysis techniques were used to generate surfaces that combined the capture data with the vegetation, habitat, diet and home range surfaces to produce predictive surfaces. The key finding from the research was that it is possible to produce a predictive model, although one was not created because the spatial datasets were not of a high enough resolution to provide conclusive evidence that could be confidently used as a variable in a model. The spatial analysis also indicated that stoats on both islands were caught mainly in the warmer northwestern parts of the islands although the study could not determine why there was a preference for these areas. In rugged terrain like that found on both islands the location of the track network will influence where the majority of stoats will be caught
The index of refraction in the neighborhood of an isolated Stark broadened spectral line
Index of refraction in neighborhood of stark broadened spectral line calculated by using relation between absorption coefficient and refractive inde
A new technique for measuring oscillator strengths in the UV
Interferometric technique for measuring atomic or molecular oscillator strengths in vacuum U
Systematic review of transition models for young people with long-term conditions: A report for NHS Diabetes.
Aims For many young people with Type 1 diabetes, transition from paediatric to adult care can result in a marked deterioration in glycaemic control. A systematic review assessed the effectiveness of transition models, or components of models, for managing the transition process in young people with long-term conditions, including Type 1 diabetes. This involved identifying (i) the main barriers and facilitators in implementing a successful transition programme, and (ii) the key issues for young people with long-term conditions and professionals involved in the transition process. Methods The following databases were searched from inception to August 2012: MEDLINE, EMBASE, PsychINFO, CINAHL, ASSIA, Social Services Abstracts, Academic Search Complete, Social Science Citation Index, Cochrane and Campbell Libraries. Selected studies included young people aged 11 to 25 diagnosed with long-term conditions who were in transition from paediatric to adult secondary health care services. Results 16 systematic reviews and 13 primary studies were included from 9992 records retrieved. No single transition model was uniquely effective. The most successful transitions centred around: young person-focused; age and developmentally appropriate content and delivery; self-management education; family participation; paediatric and adult collaboration; designated transition clinics; transition co-ordinator; young person’s portfolio; specific professionals training; multidisciplinary approach; structured process embedded in service delivery. There were no distinctive characteristics of condition-specific Type 1 diabetes services. Conclusion This important and timely review summarises the key factors that need to be considered for the development of transition programmes for young people with long-term conditions, including those with Type 1 diabetes
Note On Endomorphism Algebras Of Separable Monoidal Functors
We recall the Tannaka construction for certain types of split monoidal
functor into Vect_{k}, and remove the compactness restriction on the domain
Prayer and subjective well-being : the application of a cognitive-behavioural framework
The aim of the present study was to examine the relationship between a model of prayer and a measure of subjective well-being within the context of a cognitive-behavioural framework. A community sample of 173 (77 males and 96 females) British adults completed measures of prayer activity and the General Health Questionnaire-28. The present findings suggest that meditative prayer, frequency of prayer, and prayer experience account for unique variance (among other measures of prayer) in a general measure of subjective well-being. The results demonstrate the potential usefulness of a cognitive-behavioural framework to help better understand the relationship between prayer and subjective well-being
Effective classroom practice: a mixed-method study of influences and outcomes: a research paper
This brief paper reports findings from a two-year research project, funded by the ESRC, which identified, described and analyzed variation in effective primary and secondary school teachers’ classroom practice. The study also explored these practices in relation to different school contexts and teachers’ professional life phases in order to draw out relevant implications for policy and practice
Critical mutation rate has an exponential dependence on population size in haploid and diploid populations
Understanding the effect of population size on the key parameters of evolution is particularly important for populations nearing extinction. There are evolutionary pressures to evolve sequences that are both fit and robust. At high mutation rates, individuals with greater mutational robustness can outcompete those with higher fitness. This is survival-of-the-flattest, and has been observed in digital organisms, theoretically, in simulated RNA evolution, and in RNA viruses. We introduce an algorithmic method capable of determining the relationship between population size, the critical mutation rate at which individuals with greater robustness to mutation are favoured over individuals with greater fitness, and the error threshold. Verification for this method is provided against analytical models for the error threshold. We show that the critical mutation rate for increasing haploid population sizes can be approximated by an exponential function, with much lower mutation rates tolerated by small populations. This is in contrast to previous studies which identified that critical mutation rate was independent of population size. The algorithm is extended to diploid populations in a system modelled on the biological process of meiosis. The results confirm that the relationship remains exponential, but show that both the critical mutation rate and error threshold are lower for diploids, rather than higher as might have been expected. Analyzing the transition from critical mutation rate to error threshold provides an improved definition of critical mutation rate. Natural populations with their numbers in decline can be expected to lose genetic material in line with the exponential model, accelerating and potentially irreversibly advancing their decline, and this could potentially affect extinction, recovery and population management strategy. The effect of population size is particularly strong in small populations with 100 individuals or less; the exponential model has significant potential in aiding population management to prevent local (and global) extinction events
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