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Search Results: 1 - 10 of 7420 matches for " Alison Brown "
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Alison Brown
Commonwealth Journal of Local Governance , 2012, DOI: 10.5130/cjlg.v0i10.2685
Complete Issue (1.76MB)
Alison Brown
Commonwealth Journal of Local Governance , 2012, DOI: 10.5130/cjlg.v0i0.3072
Alison Brown
Commonwealth Journal of Local Governance , 2012, DOI: 10.5130/cjlg.v0i0.3054
Complete Issue (1.88MB)
Alison Brown
Commonwealth Journal of Local Governance , 2012, DOI: 10.5130/cjlg.v0i10.2700
Editorial: Sustainable Democracy, Development and Environmental Policies
Steve Martin,Alison Brown
Commonwealth Journal of Local Governance , 2011, DOI: 10.5130/cjlg.v0i8/9.2407
Philip Barker,Anne Brown,Alison Holmes
Research in Learning Technology , 2002, DOI: 10.3402/rlt.v10i2.11405
Abstract: The user guide consists of a 28-page A5 format brochure. It gives an overview (4 pages) of the contents of the CD-Rom and how it can assist in the writing process in three main sections: core skills, writing for science and writing for advocacy. Within each of these subsections more detail is provided, with the authors giving a short introductory aim for each task and the expected outcomes
Distributed Sensor Logging: As Easy as a Mesh of Yoyos  [PDF]
Corey Wallis, Alison Hutton, Steve Brown, Romana Challans, Paul Gardner-Stephen
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2013, DOI: 10.4236/ijcns.2013.66033

The Mass Gathering Data Acquisition and Analysis (MaGDAA) project involved the development of hardware and software solutions to facilitate the rapid and effective collection of autonomous and survey based data during mass gathering events. The aim of the project was the development and trial of a purpose-built Open Hardware based environment monitoring sensor prototypes using IOIO (pronounced “yoyo”) boards. Data from these sensors, and other devices, was collected using Open Source software running on Android powered mobile phones, tablets and other open hardware based platforms. Data was shared using a Wi-Fi mesh network based on an Open Source project called The Serval Project. Additional data in the form of survey based questionnaires were collected using ODK Collect, one of the applications in the Open Data Kit suite. The MaGDAA project demonstrated that it is possible for researchers (through the use of Open Source software and Open Hardware) to own, visualise, and share data without the difficulties of setting up and maintaining servers. MaGDAA proved to be an effective infrastructure independent sensor logging network that enables a broad range of data collection (demographic, predispositions, motivations, psychosocial and environmental influencers and modifiers of audience behaviour, cultural value) in the field of mass gathering research.

Mouse WRN Helicase Domain Is Not Required for Spontaneous Homologous Recombination-Mediated DNA Deletion
Adam D. Brown,Alison B. Claybon,Alexander J. R. Bishop
Journal of Nucleic Acids , 2010, DOI: 10.4061/2010/356917
Abstract: Werner syndrome is a rare disorder that manifests as premature aging and age-related diseases. WRN is the gene mutated in WS, and is one of five human RecQ helicase family members. WS cells exhibit genomic instability and altered proliferation, and in vitro studies suggest that WRN has a role in suppressing homologous recombination. However, more recent studies propose that other RecQ helicases (including WRN) promote early events of homologous recombination. To study the role of WRN helicase on spontaneous homologous recombination, we obtained a mouse with a deleted WRN helicase domain and combined it with the in vivo pink-eyed unstable homologous recombination system. In this paper, we demonstrate that WRN helicase is not necessary for suppressing homologous recombination in vivo contrary to previous reports using a similar mouse model. 1. Introduction Werner syndrome (WS) is a rare autosomal recessive disease associated with premature age-related phenotypes such as cancer, osteoporosis, diabetes mellitus and early graying of the hair (review [1]). The gene responsible for WS (WRN) is one of a five human RecQ helicases including BLM, RECQL1, RECQL4, and RECQ5. Like WS, the absence of BLM and RECQL4 gives rise to the clinically distinct diseases, Bloom’s syndrome (BS) and Rothmund-Thomson syndrome, respectively. Although a variety of different WRN mutations have been discovered, many result in a truncated nonfunctional WRN (summarized in [2]). Cells from WS patients depict an aging phenotype including reduced proliferation associated with an increase in S-phase [3] and early passage senescence [3, 4]. Furthermore, WS cells show increased levels of genomic instability thought be caused from increased levels of illegitimate recombination. These observations lead us to investigate the role of WRN in vivo. For this study we used a WRN mouse model with a deleted helicase domain [5] in combination with the well-established murine pink-eyed unstable ( ) mouse model that can be used to determine changes in the spontaneous frequency of somatic homologous recombination (HR) events [6–8]. Though rare, this particular Wrn mutation has been found in a small population of WS patients [9, 10] and is therefore relevant to the human disease. The assay is based on an HR-mediated deletion of one copy of a 70?kb DNA duplication that encompasses exons 6–18 of the gene [11]. The exact deletion of one copy of the repeated region will restore the function of this pigmentation gene, and this can be observed as somatic events in pigmented tissues such as the fur and the retinal
Sheena M Brown,Ruth MA Napper,Alison R Mercerl
Image Analysis and Stereology , 2000, DOI: 10.5566/ias.v19.p139-144
Abstract: The antennal lobe of the worker honey bee has been used as a model system to address the origins of structural plasticity in the central nervous system. A combination of light and electron microscopy was used to determine total synapse number within an easily identifiable sub-unit of the antennal lobe neuropil, the T4-2(1) glomerulus. The Cavalieri method was applied at the light microscope level to determine a reference volume (Vref) of this glomerulus. Using transmission electron microscopy, the physical disector was used to determine synaptic density (Nv) within the T4-2(1) glomerulus. An estimate of the total synapse number N(syn) was determined by; N(syn) = V(ref) Nv. Newly emerged, 4-day old,10-day old and forager-aged bees were analysed. Results showed that despite a significant increase in T4-2(1) volume with age, the total number of synapses in this glomerulus did not show a corresponding increase. Disturbingly, it is possible that huge variances within age groups, due to one or two outlying data points, could be masking the true trend of synapse number. This variance, the heterogeneous distribution of synapses within this glomerulus and the problems associated with reproducibility of synapse counts are discussed.
Mobile technology supporting trainee doctors’ workplace learning and patient care: an evaluation
Hardyman Wendy,Bullock Alison,Brown Alice,Carter-Ingram Sophie
BMC Medical Education , 2013, DOI: 10.1186/1472-6920-13-6
Abstract: Background The amount of information needed by doctors has exploded. The nature of knowledge (explicit and tacit) and processes of knowledge acquisition and participation are complex. Aiming to assist workplace learning, Wales Deanery funded “iDoc”, a project offering trainee doctors a Smartphone library of medical textbooks. Methods Data on trainee doctors’ (Foundation Year 2) workplace information seeking practice was collected by questionnaire in 2011 (n = 260). iDoc baseline questionnaires (n = 193) collected data on Smartphone usage alongside other workplace information sources. Case reports (n = 117) detail specific instances of Smartphone use. Results Most frequently (daily) used information sources in the workplace: senior medical staff (80% F2 survey; 79% iDoc baseline); peers (70%; 58%); and other medical/nursing team staff (53% both datasets). Smartphones were used more frequently by males (p < 0.01). Foundation Year 1 (newly qualified) was judged the most useful time to have a Smartphone library because of increased responsibility and lack of knowledge/experience. Preferred information source varied by question type: hard copy texts for information-based questions; varied resources for skills queries; and seniors for more complex problems. Case reports showed mobile technology used for simple (information-based), complex (problem-based) clinical questions and clinical procedures (skills-based scenarios). From thematic analysis, the Smartphone library assisted: teaching and learning from observation; transition from medical student to new doctor; trainee doctors’ discussions with seniors; independent practice; patient care; and this ‘just-in-time’ access to reliable information supported confident and efficient decision-making. Conclusion A variety of information sources are used regularly in the workplace. Colleagues are used daily but seniors are not always available. During transitions, constant access to the electronic library was valued. It helped prepare trainee doctors for discussions with their seniors, assisting the interchange between explicit and tacit knowledge. By supporting accurate prescribing and treatment planning, the electronic library contributed to enhanced patient care. Trainees were more rapidly able to medicate patients to reduce pain and more quickly call for specific assessments. However, clinical decision-making often requires dialogue: what Smartphone technology can do is augment, not replace, discussion with their colleagues in the community of practice.
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