Restless leg syndrome caused by olanzapine: a case series

Restless leg syndrome (RLS) is a common disorder associated with significant distress. We report three cases of drug induced RLS caused by olanzapine. In each case, RLS commenced after initiation of treatment with olanzapine and resolved after ceasing olanzapine. All three patients were subsequently treated with other atypical antipsychotics, risperidone, quetiapine or aripiprazole, without re-emergence of RLS. RLS is associated with central dopaminergic dysfunction. Dopamine agonists and l-dopa reduce the symptoms of RLS, and some agents that block the dopaminergic system aggravate RLS. Greater awareness of potential causes of RLS, and its differentiation from akathisia and illness related agitation might help in reducing the distress associated with it and improving patient compliance.

Doing what your big sister does : sex, postfeminism and the YA chick lit series

Mass-marketed teen chick lit has become a publishing phenomenon and has begun to attract critical interest among children’s literature scholars. Much of this critical work, however, has shied away from robust critical assessment of the postfeminist conditions informing the production and reception of young adult series like Private, Gossip Girl and Choose Your Own Destiny. Existing analyses may nod to the origins of the genre in women’s chick lit, but do not investigate how the postfeminist construction of ‘empowered’ female (hetero) sexuality translates into chick lit for young adults. Paying particular attention to these issues, this paper draws on feminist critiques of postfeminism to interrogate the implications of the way these novels position readers to understand their sexuality. In doing so, it poses postfeminist criticism as an unconsidered yet significant framework to evaluate novels for teenage girls.

Constructing Australia : a companion to the ABC TV series

This engaging collection tells the story of how three of Australia's greatest man made-icons were built. The making of the Harbour Bridge, the creation of the Telegraph Line across Australia and the building of the pipeline from Perth to Kalgoolie.

The Lopingian series in the Lhasa Block, Tibet and its palaeogeographical implications

Latest investigation indicates that the Lopingian Series including both terrestrial and marine deposit s are developed in the Lhasa Block. The marine Lopinigian Series in the Lhasa Block contains the compound coral Waagenophyllum, fusulinid Reichelina, and foraminifer Colaniella faunas , and the terrestrial Lopingian Series is characterized by both Cathaysian floras and mixed floras consisting of Gondwanan element s such as Glossopteris , Noeggerathiopsis, Phyllotheca and Cathaysian elements such as Pecopteris ,Sphenopteris. An anlaysis of the Lopingian sequences in the Lhasa Block reveals that it experienced a regression stage f rom Guadalupian to Lopingian. By contrast , the Himalayan Tethys Zone south to the Lhasa Block is characterized by typical Gondwanan Glossopteris flora , coldwater brachiopod and solitary coral faunas. In addition, the Lopingian sequence in the Himalayan Tethys Zone reflect s a transgressive process from the terrestrial Qubu Formation to the shallow marine Qubuerga Formation. Therefore, the Lhasa Block shows significant differences in both biota and depositional features from the Himalayan Tethys Zone during the Lopingian, which implies that the Lhasa Block had rifted from the northern periGondwanan margin before the Lopingian.

Series feature aggregation for content-based image retrieval

Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggregation is that image similarity in different feature spaces can not be directly comparable with each other. To address this problem, a new feature aggregation approach, series feature aggregation (SFA), is proposed in this paper. In contrast to merging incomparable feature distances in different feature spaces to get aggregated image similarity in the conventional feature aggregation approach, the series feature aggregation directly deal with images in each feature space to avoid comparing different feature distances. SFA is effectively filtering out irrelevant images using individual features in each stage and the remaining images are images that collectively described by all features. Experiments, conducted with IAPR TC-12 benchmark image collection (ImageCLEF2006) that contains over 20,000 photographic images and defined queries, have shown that SFA can outperform the parallel feature aggregation and linear distance combination schemes. Furthermore, SFA is able to retrieve more relevant images in top ranked outputs that brings better user experience in finding more relevant images quickly.

Properties of series feature aggregation schemes

Feature aggregation is a critical technique in content-based image retrieval (CBIR) that combines multiple feature distances to obtain image dissimilarity. Conventional parallel feature aggregation (PFA) schemes failed to effectively filter out the irrelevant images using individual visual features before ranking images in collection. Series feature aggregation (SFA) is a new scheme that aims to address this problem. This paper investigates three important properties of SFA that are significant for design of systems. They reveal the irrelevance of feature order and the convertibility of SFA and PFA as well as the superior performance of SFA. Furthermore, based on Gaussian kernel density estimator, the authors propose a new method to estimate the visual threshold, which is the key parameter of SFA. Experiments, conducted with IAPR TC-12 benchmark image collection (ImageCLEF2006) that contains over 20,000 photographic images and defined queries, have shown that SFA can outperform conventional PFA schemes.

Properties of series feature aggregation schemes

Feature aggregation is a critical technique in content-based image retrieval (CBIR) that combines multiple feature distances to obtain image dissimilarity. Conventional parallel feature aggregation (PFA) schemes failed to effectively filter out the irrelevant images using individual visual features before ranking images in collection. Series feature aggregation (SFA) is a new scheme that aims to address this problem. This paper investigates three important properties of SFA that are significant for design of systems. They reveal the irrelevance of feature order and the convertibility of SFA and PFA as well as the superior performance of SFA. Furthermore, based on Gaussian kernel density estimator, the authors propose a new method to estimate the visual threshold, which is the key parameter of SFA. Experiments, conducted with IAPR TC-12 benchmark image collection (ImageCLEF2006) that contains over 20,000 photographic images and defined queries, have shown that SFA can outperform conventional PFA schemes.

Integrating time-series hydroacoustics and video observations for detecting changes in benthic habitats

The ability to quantify change in marine benthic habitats must be considered a key goal of marine habitat mapping activities. Changes in distribution of distinct suites of benthic biological species may occur as a result of natural or human induced processes and these processes may operate at a range of temporal and spatial scales. It is important to understand natural small scale inter-annual patterns of change in order to separate these signals from potential patterns of longer term change. Work to describe these processes of change from an acoustic remote sensing stand point has thus far been limited due to the relatively recent availability of full coverage swath acoustic datasets and cost pressures associated with multiple surveys of the same area. This paper describes the use of landscape transition analysis as a means to differentiate seemingly random patterns of habitat change from systematic signals of habitat transition at a shallow (10–50 m depth) 18 km2 study area on the temperate Australian continental shelf between the years 2006 and 2007. Supervised classifications for each year were accomplished using independently collected high resolution (3 m cell-size) multibeam echosounder (MBES) and video-derived reference data. Of the 4 representative biotic classes considered, signals of directional systematic changes were observed to occur between a shallow kelp dominated class, a deep sessile invertebrate dominated class and a mixed class of kelp and sessile invertebrates. These signals of change are interpreted as inter-annual variation in the density and depth related extent of canopy forming kelp species at the site, a phenomenon reported in smaller scale temporal studies of the same species. The methods applied in this study provide a detailed analysis of the various components of the traditional change detection cross tabulation matrix allowing identification of the strongest signals of systematic habitat transitions across broad geographical regions. Identifying clear patterns of habitat change is an important first step in linking these patterns to the processes that drive them.