Action learning as an enabler for successful technology transfer with construction SMEs

There is an increasing demand for construction companies to adopt and use new technologies. At the same time universities are increasingly being called upon to assist with ‘technology transfer’ through positive engagement with industry. However, there is little literature investigating technology transfer from the perspective of small construction companies which make up the overwhelming majority of firms in the sector. This paper contributes to this developing area by providing a literature review of technology transfer and proposing a holistic system required for success. Building upon this review it assesses the potential use of action learning as a means of providing this holistic solution and, in so doing, promoting technology transfer and improving the links between higher education institutions (HEIs) and the construction industry. The assessment is made through a literature review of action learning in construction and an analysis of results from the national Construction Knowledge Exchange (CKE) initiative which uses an action learning methodology to assist HEIs in supporting local construction small and medium-sized enterprises (SMEs). The initial results show that this innovative approach, has been successful in creating synergies between academic and business worlds, helping HEIs to communicate more effectively with businesses and vice versa. However, the results indicate that innovations which small construction companies tend to more successfully adopt are those which can contribute to the business in a quick, tangible fashion, and which can be dovetailed into existing rganisational capabilities. This is found to be in marked contrast to the relevant literature which depict large companies operating in more complex networks, drawing upon them for new tacit and explicit technologies which support more long term, formal technology strategies, and which often complement some form of specialised internal research and development capability. The implication for policy is that any technology transfer initiatives need to appreciate and actively manage the different motivations and capabilities of small and large construction companies to absorb and use new technology

Estimation of introgression in cutthroat trout populations using microsatellites

Introgressive hybridization, mediated by anthropogenic activity, poses a threat to numerous and diverse taxa. The management of introgressed individuals or populations within species of conservation concern is currently the subject of scientific and political debate. We investigate the utility of 10 non-diagnostic microsatellite loci for investigating admixture from introduced Yellowstone cutthroat trout (Oncorhynchus clarkii bouvieri) and rainbow trout (O. mykiss) within 25 putative Rio Grande cutthroat trout (O. c. virginalis) populations. We apply five different approaches (correspondence analysis, maximum-likelihood assignment tests, an admixture estimator based on allele frequencies, an admixture estimator based on coalescent theory and an admixture estimator implementing a Bayesian method) and use two alternative O. c. virginalis reference samples. All approaches were capable of identifying one population that consisted entirely of introduced O. c. bouvieri, and three out of five approaches enabled us to discriminate those populations with relatively high levels of non-native introgression from those populations with little or none. Actual estimates of admixture coefficients within a test population, varied, however, with the approach and reference sample used. These results have important implications for policies dividing populations into different management categories according to the estimated proportion of non-native genetic material that they contain

Genetic diversity within fragmented cutthroat trout populations

Interior cutthroat trout Oncorhynchus clarkii have undergone severe declines over the past 150 years. Many subspecies now persist in a highly fragmented state, primarily within headwater streams. We used 12 microsatellites to investigate the population genetic characteristics of 22 remnant populations of Rio Grande cutthroat trout O. c. virginalis isolated in montane streams in New Mexico. Populations varied markedly in the amount of genetic diversity they contained. There was no significant relationship between estimated adult population size or habitat size and heterozygosity; however, populations occurring above natural barriers were significantly less diverse. Seven population samples exhibited significant deviations from Hardy-Weinberg equilibrium. Interlocus variance in the population inbreeding coefficient F-1S was correlated with habitat size, and several population samples exhibited a significantly higher variance in interindividual relatedness, or a significantly higher median individual inbreeding coefficient. than would be expected by chance. These results suggest that cutthroat trout populations in headwater streams consist of multiple partially discrete subpopulations in which only a small number of adults successfully reproduce. The potential for Such population substructure should be considered when planning management activities for stream-dwelling cutthroat trout

The burden of multiple sclerosis: A community health survey

© 2008 Jones et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens

Population structure and genetic management of Rio Grande cutthroat trout (Oncorhynchus clarkii virginalis)

The Rio Grande cutthroat trout, Oncorhynchus clarkii virginalis, has declined precipitously over the past century, and currently exhibits a highly fragmented distribution within the Canadian, Pecos and Rio Grande river systems of the western United States. The relationships between populations in the three river drainages, and between O. c. virginalis and the closely related taxa O. c. pleuriticus and O. c. stomias, are not well understood. In order to guide management decisions for the subspecies, we investigated the distribution of variation at 12 micro-satellite loci and two regions of the mitochondrial genome. We observed a high level of genetic differentiation between O. c. virginalis populations occupying different headwater streams ( global F-st = 0.41). However, we found evidence for previous gene flow within the Rio Grande drainage, indicating that inter-population differentiation may have been exacerbated by the recent effects of population fragmentation. Despite large-scale anthropogenic movement of individuals from the Rio Grande into the Canadian and Pecos, the genetic signature of long-term evolutionary independence between the three drainages has been retained

Characterization of tetranucleotide microsatellites for Rio Grande cutthroat trout and rainbow trout, and their cross-amplification in other cutthroat trout subspecies

We describe the isolation and characterization of 12 tetranucleotide microsatellites for Rio Grande cutthroat trout (Oncorhynchus clarkii virginalis) and rainbow trout (Oncorhynchus mykiss), and subsequently investigate their performance in Colorado River cutthroat trout (Oncorhynchus clarkii pleuriticus), greenback cutthroat trout (Oncorhynchus clarkii stomias) and Yellowstone cutthroat trout (Oncorhynchus clarki bouvieri). All 12 loci are polymorphic in all subspecies of O. clarkii examined

Determining the date of diagnosis – is it a simple matter? The impact of different approaches to dating diagnosis on estimates of delayed care for ovarian cancer in UK primary care

Background Studies of cancer incidence and early management will increasingly draw on routine electronic patient records. However, data may be incomplete or inaccurate. We developed a generalisable strategy for investigating presenting symptoms and delays in diagnosis using ovarian cancer as an example. Methods The General Practice Research Database was used to investigate the time between first report of symptom and diagnosis of 344 women diagnosed with ovarian cancer between 01/06/2002 and 31/05/2008. Effects of possible inaccuracies in dating of diagnosis on the frequencies and timing of the most commonly reported symptoms were investigated using four increasingly inclusive definitions of first diagnosis/suspicion: 1. "Definite diagnosis" 2. "Ambiguous diagnosis" 3. "First treatment or complication suggesting pre-existing diagnosis", 4 "First relevant test or referral". Results The most commonly coded symptoms before a definite diagnosis of ovarian cancer, were abdominal pain (41%), urogenital problems(25%), abdominal distension (24%), constipation/change in bowel habits (23%) with 70% of cases reporting at least one of these. The median time between first reporting each of these symptoms and diagnosis was 13, 21, 9.5 and 8.5 weeks respectively. 19% had a code for definitions 2 or 3 prior to definite diagnosis and 73% a code for 4. However, the proportion with symptoms and the delays were similar for all four definitions except 4, where the median delay was 8, 8, 3, 10 and 0 weeks respectively. Conclusion Symptoms recorded in the General Practice Research Database are similar to those reported in the literature, although their frequency is lower than in studies based on self-report. Generalisable strategies for exploring the impact of recording practice on date of diagnosis in electronic patient records are recommended, and studies which date diagnoses in GP records need to present sensitivity analyses based on investigation, referral and diagnosis data. Free text information may be essential in obtaining accurate estimates of incidence, and for accurate dating of diagnoses

Remote, but Not Isolated - Microplastics in the Sub-surface Waters of the Canadian Arctic Archipelago

This is the final version. Available on open access from Frontiers Media via the DOI in this recordData Availability Statement: The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author/s.As the remote Canadian Arctic Archipelago (CAA) becomes increasingly connected to the rest of the world, there is an impetus to monitor the possible impact of this connectivity. The potential for increases in localised sources of plastic pollution resulting from the increasing navigability of the remote north has yet to be explored. Here we investigate microplastic samples which were collected aboard the Canadian Coast Guard Ship (CCGS) Amundsen in the summer of 2018 using the underway pump and a filtration system with Fourier transform infrared analysis. We investigate the character, abundance, and distribution of microplastic particles and fibres in the sub-surface waters across the Canadian Arctic and add to the limited dataset on plastic pollution in this region. We find that there are low concentrations of microplastics ranging from 0 to 0.282 n L–1 (average 0.031 ± 0.017 n L–1), comprising 71% polyester and acrylics. We investigate the size distribution of retained particles and fibres on three different filter mesh sizes connected to the underway pump (300, 100, and 50 μm) and find that a 300 μm mesh and a 100 μm mesh retain only 6 and 56%, respectively, of the total particles and fibres. We explore the role of shipping as a potential source of textile fibres and we suggest that future monitoring of plastics in the Canadian Arctic should use the current shipping fleet to monitor its own plastic footprint, utilising the underway pump and mesh sizes < 100 μm.Natural Environment Research Council (NERC)UK-Canada Arctic Science Bursary Programm

Giant half-cycle attosecond pulses

Half-cycle picosecond pulses have been produced from thin photo-conductors, when applying an electric field across the surface and switching on conduction by a short laser pulse. Then the transverse current in the wafer plane emits half-cycle pulses in normal direction, and pulses of 500 fs duration and 1e6 V/m peak electric field have been observed. Here we show that single half-cycle pulses of 50 as duration and up to 1e13 V/m can be produced when irradiating a double foil target by intense few-cycle laser pulses. Focused onto an ultra-thin foil, all electrons are blown out, forming a uniform sheet of relativistic electrons. A second layer, placed at some distance behind, reflects the drive beam, but lets electrons pass straight. Under oblique incidence, beam reflection provides the transverse current, which emits intense half-cycle pulses. Such a pulse may completely ionize even heavier atoms. New types of attosecond pump-probe experiments will become possible.Comment: 5 pages, 4 figures, to be presented at LEI2011-Light at Extreme Intensities and China-Germany Symposium on Laser Acceleratio

Are GPs under-investigating older patients presenting with symptoms of ovarian cancer? Observational study using General Practice Research Database

Background: Recent studies suggest that older patients in the United Kingdom are not benefiting as much from improvements in cancer treatments as their younger counterparts. We investigate whether this might be partly due to differential referral rates using ovarian cancer as an example. Methods: From the General Practice Research Database (GPRD), we identified all women aged 40–80 years on 1 June 2002 with a Read code for ovarian cancer between 1 June 2002 and 31 May 2007. Using these records, we compared the GPRD incidence of ovarian cancer with rates compiled from the UK cancer registries and investigated the relationship between age and coded investigations for suspected ovarian cancer. Results: The GPRD rates peaked earlier, at 70–74, and were lower than registry rates for nearly all ages particularly for patients over 59. The proportion investigated or referred by the GP decreased significantly with age and delays between first coded symptom and investigation showed a U-shaped distribution by age. Conclusions: GPs appear to be less likely to recognise and to refer patients presenting with ovarian cancer as they get older. If our findings extend to other cancers, lack of or delays in referral to secondary care may partly explain poor UK cancer mortality rates of older people