Regional Workshop on Co-management in Small-Scale Fisheries: Lessons Learned and Best Practices 12-13 December 2012, Bangkok, Thailand

An FAO project, the Regional Fisheries Livelihoods Programme, which is funded by Spain, has worked with the Timorese authorities and coastal communities to build local capacity and put in place effective methods to gather a variety of important fisheries data. This is used to help make important decisions relating to the management of the nation's fisheries sector. These actions, which are detailed in this publication, have been carried out at relatively little expense and in a participatory manner that has engaged communities while at the same time providing practical skills to all involved

Developing a model for e-prints and open access journal content in UK further and higher education

A study carried out for the UK Joint Information Systems Committee examined models for the provision of access to material in institutional and subject-based archives and in open access journals. Their relative merits were considered, addressing not only technical concerns but also how e-print provision (by authors) can be achieved – an essential factor for an effective e-print delivery service (for users). A "harvesting" model is recommended, where the metadata of articles deposited in distributed archives are harvested, stored and enhanced by a national service. This model has major advantages over the alternatives of a national centralized service or a completely decentralized one. Options for the implementation of a service based on the harvesting model are presented

Extending Science lessons with Virtual Reality

The Open University, Field Studies Council and Association for Science Education are conducting research into the use of Google Expeditions and other virtual reality tools to a) augment and extend field work experiences; and b) as an additional tool in the classrooms along with resources such as videos, photographs. The following aspects were discussed in this workshop: Does the virtual reality technology improve student engagement, and what are the implications for teachers? Think of one of the difficult concepts in Science: How could Google Expeditions (or Virtual Reality, in general) help you to teach that concept? How would you use Google Expeditions to encourage inquiry-based learning? What are the challenges that you would face in integrating Google Expeditions in your curriculum

Google expeditions and fieldwork: friends or foes?

Google Expeditions is a Virtual Reality (VR) approach being promoted by Google in schools globally. Google Expeditions are guided tours (field trips) of places that students experience on a smartphone through a virtual reality viewer called Google cardboard. The Open University (OU), UK are conducting a school-based research project (funded by Google and the OU; July 2016 - June 2017) on the potential use of VR via Google Expeditions in secondary school science and geography. The project is being co-led by Field Studies Council, and UK's Association for Science Education and Geographical Association are the two partnering organisations. This workshop provided an opportunity to try out Google Expeditions and to explore how they could be used to support teaching and learning, including fieldwork. Are Google Expeditions a threat to traditional field trips or could they become a complementary tool for strengthening the quality of outdoor learning, for example by providing an immersive technology which adds context and substance to pre-field preparation, in-field activities and post-field revision and reflection

Characterisation of the Temperature-dependent Dark Rate of Hamamatsu R7081-100 10" Photomultiplier Tubes

Dark noise is a dominant background in photomultiplier tubes (PMTs), which are commonly used in liquid-filled particle detectors for single-photon detection to see the results of particle interactions. A major contribution to dark noise is thermionic emission from the photocathode. The dark noise of Hamamatsu R7081-100 PMTs is characterised in a temperature and purity controlled water tank, with the thermionic emission contribution isolated. The results suggest that the intrinsic dark rate of PMTs does not depend on the medium, but does follow Richardson's law of thermionic emission. There are external contributions to the overall observed PMT count rate identified, but the intrinsic PMT dark rate in water matches that measured in air.Comment: 11 pages, 7 figures, 2 tables, prepared for submission to J. Instru

A knowledge translation collaborative to improve the use of therapeutic hypothermia in post-cardiac arrest patients: protocol for a stepped wedge randomized trial

<p>Abstract</p> <p>Background</p> <p>Advances in resuscitation science have dramatically improved survival rates following cardiac arrest. However, about 60% of adults that regain spontaneous circulation die before leaving the hospital. Recently it has been shown that inducing hypothermia in cardiac arrest survivors immediately following their arrival in hospital can dramatically improve both overall survival and neurological outcomes. Despite the strong evidence for its efficacy and the apparent simplicity of this intervention, recent surveys show that therapeutic hypothermia is delivered inconsistently, incompletely, and often with delay.</p> <p>Methods and design</p> <p>This study will evaluate a multi-faceted knowledge translation strategy designed to increase the utilization rate of induced hypothermia in survivors of cardiac arrest across a network of 37 hospitals in Southwestern Ontario, Canada. The study is designed as a stepped wedge randomized trial lasting two years. Individual hospitals will be randomly assigned to four different wedges that will receive the active knowledge translation strategy according to a sequential rollout over a number of time periods. By the end of the study, all hospitals will have received the intervention. The primary aim is to measure the effectiveness of a multifaceted knowledge translation plan involving education, reminders, and audit-feedback for improving the use of induced hypothermia in survivors of cardiac arrest presenting to the emergency department. The primary outcome is the proportion of eligible OHCA patients that are cooled to a body temperature of 32 to 34°C within six hours of arrival in the hospital. Secondary outcomes will include process of care measures and clinical outcomes.</p> <p>Discussion</p> <p>Inducing hypothermia in cardiac arrest survivors immediately following their arrival to hospital has been shown to dramatically improve both overall survival and neurological outcomes. However, this lifesaving treatment is frequently not applied in practice. If this trial is positive, our results will have broad implications by showing that a knowledge translation strategy shared across a collaborative network of hospitals can increase the number of patients that receive this lifesaving intervention in a timely manner.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov Trial Identifier: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00683683">NCT00683683</a></p

Early mobilisation in intensive care units in Australia and Scotland:A prospective, observational cohort study examining mobilisation practises and barriers

Introduction: Mobilisation of patients in the intensive care unit (ICU) is an area of growing research. Currently, there is\ud little data on baseline mobilisation practises and the barriers to them for patients of all admission diagnoses.\ud Methods: The objectives of the study were to (1) quantify and benchmark baseline levels of mobilisation in Australian\ud and Scottish ICUs, (2) compare mobilisation practises between Australian and Scottish ICUs and (3) identify barriers to\ud mobilisation in Australian and Scottish ICUs. We conducted a prospective, observational, cohort study with a 4-week\ud inception period. Patients were censored for follow-up upon ICU discharge or after 28 days, whichever occurred first.\ud Patients were included if they were >18 years of age, admitted to an ICU and received mechanical ventilation in the ICU.\ud Results: Ten tertiary ICUs in Australia and nine in Scotland participated in the study. The Australian cohort had a large\ud proportion of patients admitted for cardiothoracic surgery (43.3 %), whereas the Scottish cohort had none. Therefore,\ud comparison analysis was done after exclusion of patients admitted for cardiothoracic surgery. In total, 60.2 % of the 347\ud patients across 10 Australian ICUs and 40.1 % of the 167 patients across 9 Scottish ICUs mobilised during their ICU stay\ud (p < 0.001). Patients in the Australian cohort were more likely to mobilise than patients in the Scottish cohort (hazard\ud ratio 1.83, 95 % confidence interval 1.38–2.42). However, the percentage of episodes of mobilisation where patients\ud were receiving mechanical ventilation was higher in the Scottish cohort (41.1 % vs 16.3 %, p < 0.001). Sedation was the\ud most commonly reported barrier to mobilisation in both the Australian and Scottish cohorts. Physiological instability\ud and the presence of an endotracheal tube were also frequently reported barriers.\ud Conclusions: This is the first study to benchmark baseline practise of early mobilisation internationally, and it\ud demonstrates variation in early mobilisation practises between Australia and Scotland

Geometric Interpretation of Gene Coexpression Network Analysis

The merging of network theory and microarray data analysis techniques has spawned a new field: gene coexpression network analysis. While network methods are increasingly used in biology, the network vocabulary of computational biologists tends to be far more limited than that of, say, social network theorists. Here we review and propose several potentially useful network concepts. We take advantage of the relationship between network theory and the field of microarray data analysis to clarify the meaning of and the relationship among network concepts in gene coexpression networks. Network theory offers a wealth of intuitive concepts for describing the pairwise relationships among genes, which are depicted in cluster trees and heat maps. Conversely, microarray data analysis techniques (singular value decomposition, tests of differential expression) can also be used to address difficult problems in network theory. We describe conditions when a close relationship exists between network analysis and microarray data analysis techniques, and provide a rough dictionary for translating between the two fields. Using the angular interpretation of correlations, we provide a geometric interpretation of network theoretic concepts and derive unexpected relationships among them. We use the singular value decomposition of module expression data to characterize approximately factorizable gene coexpression networks, i.e., adjacency matrices that factor into node specific contributions. High and low level views of coexpression networks allow us to study the relationships among modules and among module genes, respectively. We characterize coexpression networks where hub genes are significant with respect to a microarray sample trait and show that the network concept of intramodular connectivity can be interpreted as a fuzzy measure of module membership. We illustrate our results using human, mouse, and yeast microarray gene expression data. The unification of coexpression network methods with traditional data mining methods can inform the application and development of systems biologic methods