201 research outputs found

    An evaluation of the use of R134a and R245fa as the working fluid in an organic Rankine Cycle energized from a low temperature geothermal energy source

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    The characteristics of an organic Rankin cycle designed to operate with a low temperature geothermal source and constant temperature cooling water supplied from freshwater ponds typical to those found near Waddan City in the Al Jufrah region of Libya were examined. Two working fluids were examined and it was concluded that the most suitable for this application was R-245fa. The off design performance of the organic Rankine cycle was examined and it was shown that the cycle is controlled by the performance of the condenser which is cooling water side temperature limited

    Sintered aluminium heat pipe (SAHP)

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    This work is the product of an ongoing PhD project in the School of the Built and Natural Environment of Northumbria University in collaboration with the University of Liverpool and Thermacore Europe Ltd. The achievements at the end of the first year are summarized. The main objective of the project is to develop an aluminum ammonia heat pipe with a sintered wick structure. Currently available ammonia heat pipes mainly use extruded axially grooved aluminum tubes as a capillary wick. There have been a few attempts of employing porous steel or nickel wicks in steel tubes with ammonia as the working fluid (Bai, Lin et al. 2009)although it is a common practice in loop heat pipes but there is no report of aluminum-ammonia heat pipes porous aluminium wick structures. The main barrier is the difficulty of sintering aluminum powders to manufacture porous wicks. So far during this project promising sintered aluminum heat pipe samples have been manufactured using the Selective Laser Melting (SLM) technique with various wick characteristics. This SLM method has proven to be capable of manufacturing very complicated wick structures with different thickness, porosity, permeability and pore sizes in different regions of a heat pipe. In addition the entire heat pipe including the end cap, outer tube wall, wick and the fill tube can be generated in a single process

    Adaptive self-assessment modules used as a diagnostic tool for threshold concepts

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    Brian Landrigana, Linda Agnewb, Lily Peregb Presenting Author: Brian Landrigan ([email protected]) a Learning Innovations Hub, University of New England, Armidale NSW 2350, Australia b School of Science and Technology, University of New England, Armidale NSW 2350, Australia KEYWORDS: adaptive learning, self-assessment, multimodal, immediate feedback. This abstract will be showcasing an action research case study of the use of adaptive self-assessment modules for a second year microbiology unit at the University of New England. The MicroChallenge activity was developed as part of a teaching development project. The successful unit coordinators sought to engage students in the subject matter through multimodal material and contacted an academic developer from the Learning Innovations Hub for assistance. A suggestion was made to use adaptive self-assessment modules as a way of providing an opportunity for students to assess their level of understanding of threshold concepts for each topic area within the unit. ADAPTIVE LEARNING Adaptive learning initiatives attempt to provide individual instruction to students based on the level of understanding. A personalised learning approach that offers immediate feedback in an asynchronous environment allows students to gauge their level of understanding without the need for instructor mediation. E-assessments that provide opportunities for students to self-diagnose and that present material when required are one way to enhance learning and performance (Shute & Towle, 2003). The self-assessment activities that have been developed for microbiology allow students to monitor their progress and adjust their efforts based on their performance and feedback. The modules consist of multimodal questions that adapt to student responses and provide feedback in the form of open curated video resources. Each student has a personalised experience based on their responses and can view anywhere from three to six questions ( Figure 1). This approach allows more capable students to quickly confirm their understanding while others are provided with additional material to reinforce concepts. Figure 1 Each response elicits immediate video feedback that reinforces concepts and provides real-world examples. Six modules make up the MicroChallenge and a student is required to achieve a score of at least fifty percent before another module becomes available. This feature reinforces the personalized experience and allows students to progress when they have reached a certain level of understanding. SELF- ASSESSMENT Self-assessment involves making judgments about one’s learning and is mostly used as formative assessment to cultivate reflection on one’s achievements or areas of improvement (Boud & Falchikov, 1989). The concept of providing online self-assessment exercises to students is not new and has been found to increase student grades (Peat & Franklin, 2002; Zakrzewski & Bull, 1999). This study will not attempt to claim an improvement in student attainment as a result of using the MicroChallenge exercises but will show that students who used the modules were the higher achieving students and through a quantitative survey they have indicated that their self-efficacy and level of understanding improved. A conclusion can then be drawn that less able students would benefit greatly from using the self-assessment modules. FUTURE DEVELOPMENTS The MicroChallenge does not form part of the assessment and as such the usage is not widespread. In the last iteration of the unit, twenty percent of students completed all six modules while forty eight percent of students did not use them at all. One strategy that will be implemented this year will be to use the qualitative data from previous surveys to inform current students that the preceding higher achieving students believed the MicroChallenge to benefit their studies. REFERENCES Boud, D. & Falchikov, N. (1989). Quantitative studies of self-assessment in higher education: a critical analysis of findings, Higher Education, 18, pp. 529-549. Peat, M. & Franklin, S. (2002). Supporting student learning: the use of computer-based formative assessment modules, British Journal of Educational Technology, vol. 33, no. 5, pp. 515-523. Shute, V., & Towle, B. (2003). Adaptive E-Learning. Educational Psychologist, 38(2), 105 -114

    A Pretargeted Approach for the Multimodal PET/NIRF Imaging of Colorectal Cancer

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    The complementary nature of positron emission tomography (PET) and near-infrared fluorescence (NIRF) imaging makes the development of strategies for the multimodal PET/NIRF imaging of cancer a very enticing prospect. Indeed, in the context of colorectal cancer, a single multimodal PET/NIRF imaging agent could be used to stage the disease, identify candidates for surgical intervention, and facilitate the image-guided resection of the disease. While antibodies have proven to be highly effective vectors for the delivery of radioisotopes and fluorophores to malignant tissues, the use of radioimmunoconjugates labeled with long-lived nuclides such as 89Zr poses two important clinical complications: high radiation doses to the patient and the need for significant lag time between imaging and surgery. In vivo pretargeting strategies that decouple the targeting vector from the radioactivity at the time of injection have the potential to circumvent these issues by facilitating the use of positron-emitting radioisotopes with far shorter half-lives. Here, we report the synthesis, characterization, and in vivo validation of a pretargeted strategy for the multimodal PET and NIRF imaging of colorectal carcinoma. This approach is based on the rapid and bioorthogonal ligation between a trans-cyclooctene- and fluorophore-bearing immunoconjugate of the huA33 antibody (huA33-Dye800-TCO) and a 64Cu-labeled tetrazine radioligand (64Cu-Tz-SarAr). In vivo imaging experiments in mice bearing A33 antigen-expressing SW1222 colorectal cancer xenografts clearly demonstrate that this approach enables the non-invasive visualization of tumors and the image-guided resection of malignant tissue, all at only a fraction of the radiation dose created by a directly labeled radioimmunoconjugate. Additional in vivo experiments in peritoneal and patient-derived xenograft models of colorectal carcinoma reinforce the efficacy of this methodology and underscore its potential as an innovative and useful clinical tool

    Regional maps of rib cortical bone thickness and cross-sectional geometry

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    Here we present detailed regional bone thickness and cross-sectional measurements from full adult ribs using high resolution CT scans processed with a cortical bone mapping technique. Sixth ribs from 33 subjects ranging from 24 to 99 years of age were used to produce average cortical bone thickness maps and to provide average ± 1SD corridors for expected cross-section properties (cross-sectional areas and inertial moments) as a function of rib length. Results obtained from CT data were validated at specific rib locations using direct measurements from cut sections. Individual thickness measurements from CT had an accuracy (mean error) and precision (SD error) of -0.013 ± 0.167 mm (R2 coefficient of determination of 0.84). CT-based measurement errors for rib cross-sectional geometry were -0.1 ± 13.1% (cortical bone cross-sectional area) and 4.7 ± 1.8% (total cross-sectional area). Rib cortical bone thickness maps show the expected regional variation across a typical rib’s surface. The local mid-rib maxima in cortical thickness along the pleural rib aspect ranged from range 0.9 to 2.6 mm across the study population with an average map maximum of 1.4 mm. Along the cutaneous aspect, rib cortical bone thickness ranged from 0.7 to 1.9 mm with an average map thickness of 0.9 mm. Average cross-sectional properties show a steady reduction in total cortical bone area from 10% along the rib’s length through to the sternal end, whereas overall cross-sectional area remains relatively constant along the majority of the rib’s length before rising steeply towards the sternal end. On average, male ribs contained more cortical bone within a given cross-section than was seen for female ribs. Importantly, however, this difference was driven by male ribs having larger overall cross-sectional areas, rather than by sex differences in the bone thickness observed at specific local cortex sites. The cortical bone thickness results here can be used directly to improve the accuracy of current human body and rib models. Furthermore, the measurement corridors obtained from adult subjects across a wide age range can be used to validate future measurements from more widely available image sources such as clinical CT where gold standard reference measures (e.g. such as direct measurements obtained from cut sections) are otherwise unobtainable.Cortical Bone Mapping (CBM) of whole-rib CT scans was performed and maps of average adult cortical bone thickness and rib cross-sectional geometry were produced. Results were validated against cross-sectional rib histology images, whereby bone thickness accuracy was measured at under 0.02 mm and precision was measured at under 0.17 mm. Subsequent errors in bone cross-sectional area were under 5%. Results can drive advancements in the fidelity of current human body computational models.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152009/1/joa13045.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152009/2/joa13045_am.pd

    Direct in-gel fluorescence detection and cellular imaging of O-GlcNAc-modified proteins

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    We report an advanced chemoenzymatic strategy for the direct fluorescence detection, proteomic analysis, and cellular imaging of O-GlcNAc-modified proteins. O-GlcNAc residues are selectively labeled with fluorescent or biotin tags using an engineered galactosyltransferase enzyme and [3 + 2] azide−alkyne cycloaddition chemistry. We demonstrate that this approach can be used for direct in-gel detection and mass spectrometric identification of O-GlcNAc proteins, identifying 146 novel glycoproteins from the mammalian brain. Furthermore, we show that the method can be exploited to quantify dynamic changes in cellular O-GlcNAc levels and to image O-GlcNAc-glycosylated proteins within cells. As such, this strategy enables studies of O-GlcNAc glycosylation that were previously inaccessible and provides a new tool for uncovering the physiological functions of O-GlcNAc

    Predicting consumer biomass, size-structure, production, catch potential, responses to fishing and associated uncertainties in the world's marine ecosystems

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    Existing estimates of fish and consumer biomass in the world’s oceans are disparate. This creates uncertainty about the roles of fish and other consumers in biogeochemical cycles and ecosystem processes, the extent of human and environmental impacts and fishery potential. We develop and use a size-based macroecological model to assess the effects of parameter uncertainty on predicted consumer biomass, production and distribution. Resulting uncertainty is large (e.g. median global biomass 4.9 billion tonnes for consumers weighing 1 g to 1000 kg; 50% uncertainty intervals of 2 to 10.4 billion tonnes; 90% uncertainty intervals of 0.3 to 26.1 billion tonnes) and driven primarily by uncertainty in trophic transfer efficiency and its relationship with predator-prey body mass ratios. Even the upper uncertainty intervals for global predictions of consumer biomass demonstrate the remarkable scarcity of marine consumers, with less than one part in 30 million by volume of the global oceans comprising tissue of macroscopic animals. Thus the apparently high densities of marine life seen in surface and coastal waters and frequently visited abundance hotspots will likely give many in society a false impression of the abundance of marine animals. Unexploited baseline biomass predictions from the simple macroecological model were used to calibrate a more complex size- and trait-based model to estimate fisheries yield and impacts. Yields are highly dependent on baseline biomass and fisheries selectivity. Predicted global sustainable fisheries yield increases ≈4 fold when smaller individuals (< 20 cm from species of maximum mass < 1kg) are targeted in all oceans, but the predicted yields would rarely be accessible in practice and this fishing strategy leads to the collapse of larger species if fishing mortality rates on different size classes cannot be decoupled. Our analyses show that models with minimal parameter demands that are based on a few established ecological principles can support equitable analysis and comparison of diverse ecosystems. The analyses provide insights into the effects of parameter uncertainty on global biomass and production estimates, which have yet to be achieved with complex models, and will therefore help to highlight priorities for future research and data collection. However, the focus on simple model structures and global processes means that non-phytoplankton primary production and several groups, structures and processes of ecological and conservation interest are not represented. Consequently, our simple models become increasingly less useful than more complex alternatives when addressing questions about food web structure and function, biodiversity, resilience and human impacts at smaller scales and for areas closer to coasts
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