960 resultados para Lecture Performance


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Light Gauge Steel Framing (LSF) walls made of cold-formed and thin-walled steel lipped channel studs with plasterboard linings on both sides are commonly used in commercial, industrial and residential buildings. However, there is limited data about their structural and thermal performances under fire conditions. Recent research at the Queensland University of Technology has investigated the structural and thermal behaviour of load bearing LSF wall systems. In this research a series of full scale fire tests was conducted first to evaluate the performance of LSF wall systems with eight different wall configurations under standard fire conditions. Finite element models of LSF walls were then developed, analysed under transient and steady state conditions, and validated using full scale fire tests. This paper presents the details of an investigation into the fire performance of LSF wall panels based on an extensive finite element analysis based parametric study. The LSF wall panels with eight different plasterboard-insulation configurations were considered under standard fire conditions. Effects of varying steel grades, steel thicknesses, screw spacing, plasterboard restraint, insulation materials and load ratio on the fire performance of LSF walls were investigated and the results of extensive fire performance data are presented in the form of load ratio versus time and critical hot flange (failure) temperature curves.

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Background: Knowledge of the human biosciences is fundamental to the development of competent nurse practitioners (Smales, 2010) with the requisite knowledge and skills, necessary for high quality patient care and good patient outcomes (Logan and Angel, 2011). Many of these students study bioscience units which cover topics in anatomy, physiology, pathophysiology and microbiology. Studies of science recall in general and medical education, report up to 33% loss of knowledge in the first year which declines to 50% in the subsequent year (Custers, 2010). Objectives: The objectives were to test the recall of bioscience knowledge by nursing students and to ascertain their perceptions of the testing. Questions explored: What would the results be for multiple choice questions in fundamental microbiology and gastrointestinal anatomy and physiology (A&P) undertaken by nursing students 4, 9 and 16 months after their first bioscience exam on these topics? Would pre-warning the students of a microbiology quiz and not a gastrointestinal A&P quiz affect the findings? How would the students respond to the testing when surveyed? Recall results: The nursing students performed better in the final exam on gastrointestinal A&P than on fundamental microbiology. There was an approximate 20% loss in knowledge of gastrointestinal A&P after 4 months and this did not change significantly over the next 12 months. Although there was an improved performance in microbiology quizzes after 4 months, there was no significant difference in results over the next 12 months. Survey results: More than 50% of students thought the testing helped them focus for the lectures and made them aware they had some pre-knowledge of the lecture topics. Discussion: Although there was a loss of knowledge of gastrointestinal A&P, it appears that warning the students about the microbiology quiz may have helped their recall. The majority of students valued the testing as a useful learning exercise. References: Custers, E. J. F. M. (2010). Long-term retention of basic science knowledge: a review study. Advances in Health Science Education, 15, 109-128. Smales, K. (2010). Learning and applying biosciences to clinical practice in nursing. Nursing Standard, 24(33), 35-39. Logan, P.A., & Angel, L. (2011). Nursing as a scientific undertaking and the intersection with science in undergraduate studies: implications for nursing management. Journal of Nursing Management, 19(3), 407-417.

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Portable water-filled barriers (PWFB) are roadside structures used to enhance safety at roadside work-zones. Ideally, a PWFB system is expected to protect persons and objects behind it and redirect the errant vehicle. The performance criteria of a road safety barrier system are (i) redirection of the vehicle after impact and (ii) lateral deflection within allowable limits. Since its inception, the PWFB has received criticism due to its underperformance compared to the heavier portable concrete barrier. A new generation composite high energy absorbing road safety barrier was recently developed by the authors.

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Rating systems are used by many websites, which allow customers to rate available items according to their own experience. Subsequently, reputation models are used to aggregate available ratings in order to generate reputation scores for items. A problem with current reputation models is that they provide solutions to enhance accuracy of sparse datasets not thinking of their models performance over dense datasets. In this paper, we propose a novel reputation model to generate more accurate reputation scores for items using any dataset; whether it is dense or sparse. Our proposed model is described as a weighted average method, where the weights are generated using the normal distribution. Experiments show promising results for the proposed model over state-of-the-art ones on sparse and dense datasets.

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This study examines the relationship between aesthetic and moral dimensions of postdramatic performance (PdP) with specific reference to two case studies: The Power of Theatrical Madness (1984) by Jan Fabre; and Inferno (2008) by Romeo Castellucci. These two cases were selected based on Lehmann's (1999/2006) "Postdramatic Theatre" theoretical framework by identifying various aspects of PdP: text, space, time, body and media. There are three primary objectives in this research project: (1) to examine if the selected works of PdP have moral functions; (2) identify these moral functions; and (3) establish a suitable framework to examine and assess the moral significance of the selected works.

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Environmental monitoring has become increasingly important due to the significant impact of human activities and climate change on biodiversity. Environmental sound sources such as rain and insect vocalizations are a rich and underexploited source of information in environmental audio recordings. This paper is concerned with the classification of rain within acoustic sensor re-cordings. We present the novel application of a set of features for classifying environmental acoustics: acoustic entropy, the acoustic complexity index, spectral cover, and background noise. In order to improve the performance of the rain classification system we automatically classify segments of environmental recordings into the classes of heavy rain or non-rain. A decision tree classifier is experientially compared with other classifiers. The experimental results show that our system is effective in classifying segments of environmental audio recordings with an accuracy of 93% for the binary classification of heavy rain/non-rain.