977 resultados para Hysteretic Down-Sampling


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With internationalisation and globalisation, English has proliferated in urban spaces around the world. This creates new opportunities for EFL learning and teaching. An English literacy walk is one activity that can be used productively to capitalise on this potential. The activity has roots in: (i) long-established approaches to emergent literacy education for young children; and (ii) pedagogic projects inspired by recent research on linguistic landscapes. Drawing on these traditions, teachers can target reading outcomes involving code, semantic, pragmatic and critical knowledge and skills. We use the four resources model of literate practices to systematically map some of the potential of literacy walks in multilingual, multimodal linguistic landscapes. We suggest tasks and teacher questions that might be used for purposes of explicit teaching of reading during and after literacy walks. Although grounded in Taipei, our ideas might be of interest to EFL teachers in other globalised cities around the world.

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A Switch-Mode Assisted Linear Amplifier (SMALA) combines the high quality of a linear amplifier required for audio applications with the high efficiency of a switch-mode amplifier. The careful choice of current sense point and switch placement allows a simple non-isolated hysteresis current controller for the switch-mode section. This paper explains the extension of the hysteresis current controller for the control of a three level Neutral Point Clamped (NPC) converter, with simulations as proof of concept. The NPC topology allows the use of lower voltage switches and lower switching frequencies to implement high power audio amplifiers using the SMALA topology.

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Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found by simulation, it must be sampled from for each future data set drawn from the prior predictive distribution. Many thousands of posterior distributions are often required. A popular technique in the Bayesian experimental design literature to rapidly obtain samples from the posterior is importance sampling, using the prior as the importance distribution. However, importance sampling will tend to break down if there is a reasonable number of experimental observations and/or the model parameter is high dimensional. In this paper we explore the use of Laplace approximations in the design setting to overcome this drawback. Furthermore, we consider using the Laplace approximation to form the importance distribution to obtain a more efficient importance distribution than the prior. The methodology is motivated by a pharmacokinetic study which investigates the effect of extracorporeal membrane oxygenation on the pharmacokinetics of antibiotics in sheep. The design problem is to find 10 near optimal plasma sampling times which produce precise estimates of pharmacokinetic model parameters/measures of interest. We consider several different utility functions of interest in these studies, which involve the posterior distribution of parameter functions.

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Motivation is central to children’s learning. Without persistent effort, especially in the face of failure, and an eagerness to engage in challenging tasks, individuals are unlikely to learn as effectively as they might. Because of their cognitive impairments, children with Down syndrome will almost certainly have difficulties with learning. These difficulties will be ameliorated somewhat by strong engagement with learning activities whereas problems with motivation are likely to further jeopardise their academic progress as well as potentially limiting achievements in other areas of life. In this chapter we begin with a general overview of motivation. Using the framework of mastery motivation, we review the relatively small amount of research about children with Down syndrome. We identify the individual characteristics and features of children’s environments that are likely to be related to lower or higher levels of mastery motivation. In the final section, we consider implications for educators and then draw together the findings to provide a set of recommendations for future research.

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Background IL-20 is a pleiotrophic member of the IL-10 family and plays a role in skin biology and the development of haematopoietic cells. Recently, IL-20 has been demonstrated to have potential anti-angiogenic effects in non-small cell lung cancer (NSCLC) by down regulating COX-2. Methods The expression of IL-20 and its cognate receptors (IL-20RA/B and IL-22R1) was examined in a series of resected fresh frozen NSCLC tumours. Additionally, the expression and epigenetic regulation of this family was examined in normal bronchial epithelial and NSCLC cell lines. Furthermore, the effect of IL-20 on VEGF family members was examined. Results The expression of IL-20 and its receptors are frequently dysregulated in NSCLC. IL-20RB mRNA was significantly elevated in NSCLC tumours (p < 0.01). Protein levels of the receptors, IL-20RB and IL-22R1, were significantly increased (p < 0.01) in the tumours of NSCLC patients. IL-20 and its receptors were found to be epigenetically regulated through histone post-translational modifications and DNA CpG residue methylation. In addition, treatment with recombinant IL-20 resulted in decreased expression of the VEGF family members at the mRNA level. Conclusions This family of genes are dysregulated in NSCLC and are subject to epigenetic regulation. Whilst the anti-angiogenic properties of IL-20 require further clarification, targeting this family via epigenetic means may be a viable therapeutic option in lung cancer treatment. © 2011 Elsevier Ltd. All rights reserved.

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Objective: To find out the present prevalent situation of the endemic fluorosis in the lower reaches of Xiao Qing River , and to look for an effective way to altering sources to lower fluoride level. Methods: To determine the water fluoride content in the drinking water sources and investigate the basic condition of the water sources (type of the water sources, the depth of well, etc) in the three towns of this area . Make a sampling survey of the children aged from 8 to 12 about the dent al fluoro sis and determine the urine fluoride, and the skeletal fluorosis among the crowd over 16 y ears of age. Results: The survey shows that the lower reaches of Xiaoqing river belong to the drinking water type of endemic fluorosis caused by drinking deep well water. In this area, 65.71% of the water sources contain high level of fluoride, 57.51% of the children suffer from dental fluorosis, 0.58% of the crowd over 16 years of age suffer from skeletal fluorosis. High water fluoride rate is related with the depth of the well. If the well is over 500 metres deep, the fluoride content rate is clearly low. Conclusions: In this area, there are still some water sources which contain normal level of fluoride. By increasing the depth of the well down to 500 metres, the problem of high fluoride in water might be solved.

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The objective of the present study was to understand the teachers' perception about students' academic stress and other welfare related issues. A group of 125 secondary and higher secondary school teachers (43 male and 82 female) from five schools located in Kolkata were covered in the study following convenience sampling technique. Data were collected by using a semi-structured questionnaire developed by the first author. Findings revealed that more than half of the teachers (55.8% male and 54.9% female) felt that today's students are not brought up in child friendly environment while an overwhelming number of teachers stated that students face some social problems (88.4% male and 96.3% female) which affects their mental health and causes stress (90.7% male and 92.7% female). However, majority of them (79.1% male and 78% female teachers), irrespective of gender, denied the fact that teaching method followed in schools could cause academic stress. Vast majority of the teachers felt that New Education System in India i.e., making Grade X examination (popularly known as secondary examination) optional will not be beneficial for students. So far as motivation of the students is concerned, introducing innovative teaching methods like project work, field visit, using audio-visual aids in the schools has been suggested by more than 95% of the teachers. This apart, most of the teachers suggested reward system in the schools in addition to taking classes seriously by the teachers and punctuality. Reduction of load of home work was also suggested by more than two-fifth teachers. Although corporal punishment has gone down, it is still practiced by some of the teachers' especially male teachers in Kolkata. Male and female teachers differed significantly with respect to two issues only (p < .05) i.e., applying corporal punishment and impact of sexual health education. Male teachers apply more corporal punishment compared to female teachers and secondly, male teachers do not forsee any negative influence of sexual health education.

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In this paper we present a novel place recognition algorithm inspired by recent discoveries in human visual neuroscience. The algorithm combines intolerant but fast low resolution whole image matching with highly tolerant, sub-image patch matching processes. The approach does not require prior training and works on single images (although we use a cohort normalization score to exploit temporal frame information), alleviating the need for either a velocity signal or image sequence, differentiating it from current state of the art methods. We demonstrate the algorithm on the challenging Alderley sunny day – rainy night dataset, which has only been previously solved by integrating over 320 frame long image sequences. The system is able to achieve 21.24% recall at 100% precision, matching drastically different day and night-time images of places while successfully rejecting match hypotheses between highly aliased images of different places. The results provide a new benchmark for single image, condition-invariant place recognition.

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Monitoring stream networks through time provides important ecological information. The sampling design problem is to choose locations where measurements are taken so as to maximise information gathered about physicochemical and biological variables on the stream network. This paper uses a pseudo-Bayesian approach, averaging a utility function over a prior distribution, in finding a design which maximizes the average utility. We use models for correlations of observations on the stream network that are based on stream network distances and described by moving average error models. Utility functions used reflect the needs of the experimenter, such as prediction of location values or estimation of parameters. We propose an algorithmic approach to design with the mean utility of a design estimated using Monte Carlo techniques and an exchange algorithm to search for optimal sampling designs. In particular we focus on the problem of finding an optimal design from a set of fixed designs and finding an optimal subset of a given set of sampling locations. As there are many different variables to measure, such as chemical, physical and biological measurements at each location, designs are derived from models based on different types of response variables: continuous, counts and proportions. We apply the methodology to a synthetic example and the Lake Eacham stream network on the Atherton Tablelands in Queensland, Australia. We show that the optimal designs depend very much on the choice of utility function, varying from space filling to clustered designs and mixtures of these, but given the utility function, designs are relatively robust to the type of response variable.

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The deposition of biological material (biofouling) onto polymeric contact lenses is thought to be a major contributor to lens discomfort and hence discontinuation of wear. We describe a method to characterize lipid deposits directly from worn contact lenses utilizing liquid extraction surface analysis coupled to tandem mass spectrometry (LESA-MS/MS). This technique effected facile and reproducible extraction of lipids from the contact lens surfaces and identified lipid molecular species representing all major classes present in human tear film. Our data show that LESA-MS/MS is a rapid and comprehensive technique for the characterization of lipid-related biofouling on polymer surfaces.

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The complete structural elucidation of complex lipids, including glycerophospholipids, using only mass spectrometry represents a major challenge to contemporary analytical technologies. Here, we demonstrate that product ions arising from the collision-induced dissociation (CID) of the [M + Na] + adduct ions of phospholipids can be isolated and subjected to subsequent gas-phase ozonolysis-known as ozone-induced dissociation (OzID)-in a linear ion-trap mass spectrometer. The resulting CID/OzID experiment yields abundant product ions that are characteristic of the acyl substitution on the glycerol backbone (i.e., sn-position). This approach is shown to differentiate sn-positional isomers, such as the regioisomeric phosphatidylcholine pair of PC 16:0/18:1 and PC 18:1/16:0. Importantly, CID/OzID provides a sensitive diagnostic for the existence of an isomeric mixture in a given sample. This is of very high value for the analysis of tissue extracts since CID/OzID analyses can reveal changes in the relative abundance of isomeric constituents even within different tissues from the same animal. Finally, we demonstrate the ability to assign carbon-carbon double bond positions to individual acyl chains at specific backbone positions by adding subsequent CID and/or OzID steps to the workflow and that this can be achieved in a single step using a hybrid triple quadrupole-linear ion trap mass spectrometer. This unique approach represents the most complete and specific structural analysis of lipids by mass spectrometry demonstrated to date and is a significant step towards comprehensive top-down lipidomics. This journal is © The Royal Society of Chemistry 2014. Grant Number ARC/DP0986628, ARC/FT110100249, ARC/LP110200648

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Background Most studies examining determinants of rising rates of caesarean section have examined patterns in documented reasons for caesarean over time in a single location. Further insights could be gleaned from cross-cultural research that examines practice patterns in locations with disparate rates of caesarean section at a single time point. Methods We compared both rates of and main reason for pre-labour and intrapartum caesarean between England and Queensland, Australia, using data from retrospective cross-sectional surveys of women who had recently given birth in England (n = 5,250) and Queensland (n = 3,467). Results Women in Queensland were more likely to have had a caesarean birth (36.2%) than women in England (25.1% of births; OR = 1.44, 95% CI = 1.28-1.61), after adjustment for obstetric characteristics. Between-country differences were found for rates of pre-labour caesarean (21.2% vs. 12.2%) but not for intrapartum caesarean or assisted vaginal birth. Compared to women in England, women in Queensland with a history of caesarean were more likely to have had a pre-labour caesarean and more likely to have had an intrapartum caesarean, due only to a previous caesarean. Among women with no previous caesarean, Queensland women were more likely than women in England to have had a caesarean due to suspected disproportion and failure to progress in labour. Conclusions The higher rates of caesarean birth in Queensland are largely attributable to higher rates of caesarean for women with a previous caesarean, and for the main reason of having had a previous caesarean. Variation between countries may be accounted for by the absence of a single, comprehensive clinical guideline for caesarean section in Queensland. Keywords: Caesarean section; Childbirth; Pregnancy; Cross-cultural comparison; Vaginal birth after caesarean; Previous caesarean section; Patient-reported data; Quality improvement

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Mammographic density (MD) adjusted for age and body mass index (BMI) is a strong heritable breast cancer risk factor; however, its biological basis remains elusive. Previous studies assessed MD-associated histology using random sampling approaches, despite evidence that high and low MD areas exist within a breast and are negatively correlated with respect to one another. We have used an image-guided approach to sample high and low MD tissues from within individual breasts to examine the relationship between histology and degree of MD. Image-guided sampling was performed using two different methodologies on mastectomy tissues (n = 12): (1) sampling of high and low MD regions within a slice guided by bright (high MD) and dark (low MD) areas in a slice X-ray film; (2) sampling of high and low MD regions within a whole breast using a stereotactically guided vacuum-assisted core biopsy technique. Pairwise analysis accounting for potential confounders (i.e. age, BMI, menopausal status, etc.) provides appropriate power for analysis despite the small sample size. High MD tissues had higher stromal (P = 0.002) and lower fat (P = 0.002) compositions, but no evidence of difference in glandular areas (P = 0.084) compared to low MD tissues from the same breast. High MD regions had higher relative gland counts (P = 0.023), and a preponderance of Type I lobules in high MD compared to low MD regions was observed in 58% of subjects (n = 7), but did not achieve significance. These findings clarify the histologic nature of high MD tissue and support hypotheses regarding the biophysical impact of dense connective tissue on mammary malignancy. They also provide important terms of reference for ongoing analyses of the underlying genetics of MD.

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This innovative collective case study research documented teachers' experiences of teaching children with Down syndrome in the early years of schooling in Australia. Results indicated differences in teachers' conceptualisation of children with Down syndrome as learners and how these variations impacted the way the child was included within the class. Unique to this research was the utilisation of a mind-mapping technique of data collection which effectively captured the individual nature of teachers' experiences, making implicit knowledge explicit through description and interpretation of these experiences. Overall findings indicated that teachers were more likely to include children with Down syndrome into general education classrooms if they operated within a contemporary understanding of disability, had positive support from key stakeholders such as school principals and parents/caregivers, and had access to current information on Down syndrome from professional bodies.