37 research outputs found

    A novice-expert comparison in information search

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    In the age of Google, it is commonly believed that university students, especially those at postgraduate level, should have attained enough information searching skills to support their studies. However, recent researches have found that the information literacy level of quite a few postgraduate students is, in fact, far from satisfactory. One possible way for information search specialists to help students effectively search information is to use a novice-expert comparison to examine the differences between novices and experts in information search. The aim of this study is to uncover some of the major differences in the search query statements and information search strategies between eight doctoral students (novice searchers) and an expert information literacy professional. Preliminary findings show that conspicuous differences do exist in the complexity of the formulation of query statements, choice of keywords, use of operators between the novice and the expert searchers.postprin

    Doctoral students' development in information literacy

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    This paper aims to investigate how doctoral level students developed their information literacy in the beginning years of their doctoral research by focusing on the sources, databases and search engines they found relevant, the difficulties they encountered when engaging in information search with different databases, and the affordances offered by the databases which they found useful. This study adopts a one-year longitudinal approach which involved students‟ interactions with a search expert who showed them how to conduct searches more effectively. A combination of quantitative and qualitative data collection methods, such as surveys, interviews, think-aloud protocol, and direct observation were used. The goal is to identify students‟ initial searching abilities and their performance after receiving guidance from an expert. Vygotsky’s social learning theory is used as the theoretical lens. Social learning theory argues that interactions with the more capable ones in the environment stimulate developmental processes and foster cognitive growth. For example, teachers and learners can work together on a difficult task with the teachers providing scaffolding to students. As such, students can complete tasks that they could not have completed on their own. The relationship between the teacher and the learner is essential in student learning as acquiring knowledge and skills from an experienced other is an important method for developing competence in a task. Social learning theory could also be applied into the information seeking situation where a master-apprentice relationship could be a possible solution to improve doctoral students‟ information literacy skills, where scaffolding support by information search experts could probably help them to improve their search techniques.postprin

    Applications of deep learning in severity prediction of traffic accidents

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    This study investigates the power of deep learning in predicting the severity of injuries when accidents occur due to traffic on Malaysian highways. Three network architectures based on a simple feedforward Neural Networks (NN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN) were proposed and optimized through a grid search optimization to fine tune the hyperparameters of the models that can best predict the outputs with less computational costs. The results showed that among the tested algorithms, the RNN model with an average accuracy of 73.76% outperformed the NN model (68.79%) and the CNN (70.30%) model based on a 10-fold cross-validation approach. On the other hand, the sensitivity analysis indicated that the best optimization algorithm is “Nadam” in all the three network architectures. In addition, the best batch size for the NN and RNN was determined to be 4 and 8 for CNN. The dropout with keep probability of 0.2 and 0.5 was found critical for the CNN and RNN models, respectively. This research has shown that deep learning models such as CNN and RNN provide additional information inherent in the raw data such as temporal and spatial correlations that outperform the traditional NN model in terms of both accuracy and stability

    Defining motility in the Staphylococci

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    The ability of bacteria to move is critical for their survival in diverse environments and multiple ways have evolved to achieve this. Two forms of motility have recently been described for Staphylococcus aureus, an organism previously considered to be non-motile. One form is called spreading, which is a type of sliding motility and the second form involves comet formation, which has many observable characteristics associated with gliding motility. Darting motility has also been observed in Staphylococcus epidermidis. This review describes how motility is defined and how we distinguish between passive and active motility. We discuss the characteristics of the various forms of Staphylococci motility, the molecular mechanisms involved and the potential future research directions

    Growth-inhibitory effects of the chemopreventive agent indole-3-carbinol are increased in combination with the polyamine putrescine in the SW480 colon tumour cell line

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    BACKGROUND: Many tumours undergo disregulation of polyamine homeostasis and upregulation of ornithine decarboxylase (ODC) activity, which can promote carcinogenesis. In animal models of colon carcinogenesis, inhibition of ODC activity by difluoromethylornithine (DFMO) has been shown to reduce the number and size of colon adenomas and carcinomas. Indole-3-carbinol (I3C) has shown promising chemopreventive activity against a range of human tumour cell types, but little is known about the effect of this agent on colon cell lines. Here, we investigated whether inhibition of ODC by I3C could contribute to a chemopreventive effect in colon cell lines. METHODS: Cell cycle progression and induction of apoptosis were assessed by flow cytometry. Ornithine decarboxylase activity was determined by liberation of CO(2 )from (14)C-labelled substrate, and polyamine levels were measured by HPLC. RESULTS: I3C inhibited proliferation of the human colon tumour cell lines HT29 and SW480, and of the normal tissue-derived HCEC line, and at higher concentrations induced apoptosis in SW480 cells. The agent also caused a decrease in ODC activity in a dose-dependent manner. While administration of exogenous putrescine reversed the growth-inhibitory effect of DFMO, it did not reverse the growth-inhibition following an I3C treatment, and in the case of the SW480 cell line, the effect was actually enhanced. In this cell line, combination treatment caused a slight increase in the proportion of cells in the G(2)/M phase of the cell cycle, and increased the proportion of cells undergoing necrosis, but did not predispose cells to apoptosis. Indole-3-carbinol also caused an increase in intracellular spermine levels, which was not modulated by putrescine co-administration. CONCLUSION: While indole-3-carbinol decreased ornithine decarboxylase activity in the colon cell lines, it appears unlikely that this constitutes a major mechanism by which the agent exerts its antiproliferative effect, although accumulation of spermine may cause cytotoxicity and contribute to cell death. The precise mechanism by which putrescine enhances the growth inhibitory effect of the agent remains to be elucidated, but does result in cells undergoing necrosis, possibly following accumulation in the G(2)/M phase of the cell cycle

    Early experience in the use of balloon-mounted cobalt chromium stents to treat iliac occlusive disease

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    Abstract and Oral Presentation: Free paper session 2: Peripheral Artery Occlusive Disease: no. O2-3link_to_OA_fulltex
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