4 resultados para Differentiating Hostile

em Dalarna University College Electronic Archive


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Oscar Wilde’s fairytales have been read to children for more than a century. Nevertheless, since the time of their publication in 1888 and 1891, the target audience of The Happy Prince and Other Tales and A House of Pomegranates have been the concern of critics. Delving into the context behind the rich and colourful imagery, one can find implications of homosexuality, the Paterian aesthetic and religious connotations. According to Carol Tattersall, The Happy Prince and Other Tales successfully mislead the public that it is innocent of any intention to undermine established standards of living or writing. Tattersall’s argument is based on comparing the first collection to Wilde’s second, A House of Pomegranates, which was perceived as “offensive and immoral” (136). On the other hand, William Butler Yeats states in his introduction to The Complete Works of Oscar Wilde that overall the reviewers of The Happy Prince and Other Tales were hostile because of Wilde’s aesthetic views (ixxvi). But Yeats overlooks the fact that Wilde was very pleased and proud, dashing notes to friends and reviewers and signing copies to many people (Tattersall 129). In general, the reception of Wilde’s first collection was more positive than that of the second because it was milder and more subtle in its controversial themes.

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The project introduces an application using computer vision for Hand gesture recognition. A camera records a live video stream, from which a snapshot is taken with the help of interface. The system is trained for each type of count hand gestures (one, two, three, four, and five) at least once. After that a test gesture is given to it and the system tries to recognize it.A research was carried out on a number of algorithms that could best differentiate a hand gesture. It was found that the diagonal sum algorithm gave the highest accuracy rate. In the preprocessing phase, a self-developed algorithm removes the background of each training gesture. After that the image is converted into a binary image and the sums of all diagonal elements of the picture are taken. This sum helps us in differentiating and classifying different hand gestures.Previous systems have used data gloves or markers for input in the system. I have no such constraints for using the system. The user can give hand gestures in view of the camera naturally. A completely robust hand gesture recognition system is still under heavy research and development; the implemented system serves as an extendible foundation for future work.

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King captures queen. Methodology in research on violence in violently equal Sweden Research and debate on violence against women in a Swedish context is here discussed from a perspective that focuses on the different understandings and epistemological claims behind existing positions. I crystallize a dominant perspective on violence, centred around fragmentation/deviance, and a challenging feminist understanding, centred around coherence/normality. I relate these understandings to a wider set of methodological choices and epistemological claims within research on violence against women, captured in what I call a discourse on partner violence (fragmentation) and a feminist discourse on men’s violence against women (coherence). The article also examines the reactions, in media and academic life, that a quantitative study on men’s violence against women in Sweden provoked, Captured queen, men’s violence against women in equal Sweden. A prevalence study (Lundgren et al 2001). By applying a coherent methodological approach, stemming from the feminist discourse on violence against women, the study seems to have placed itself outside what was comprehensible for many voices in the debate (from media and the academic field). I discuss the hostile reactions the study aroused, in relation to its methodology and the above presented conflicting understandings that occupy the research field “violence against women”.

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Objective: To investigate whether advanced visualizations of spirography-based objective measures are useful in differentiating drug-related motor dysfunctions between Off and dyskinesia in Parkinson’s disease (PD). Background: During the course of a 3 year longitudinal clinical study, in total 65 patients (43 males and 22 females with mean age of 65) with advanced PD and 10 healthy elderly (HE) subjects (5 males and 5 females with mean age of 61) were assessed. Both patients and HE subjects performed repeated and time-stamped assessments of their objective health indicators using a test battery implemented on a telemetry touch screen handheld computer, in their home environment settings. Among other tasks, the subjects were asked to trace a pre-drawn Archimedes spiral using the dominant hand and repeat the test three times per test occasion. Methods: A web-based framework was developed to enable a visual exploration of relevant spirography-based kinematic features by clinicians so they can in turn evaluate the motor states of the patients i.e. Off and dyskinesia. The system uses different visualization techniques such as time series plots, animation, and interaction and organizes them into different views to aid clinicians in measuring spatial and time-dependent irregularities that could be associated with the motor states. Along with the animation view, the system displays two time series plots for representing drawing speed (blue line) and displacement from ideal trajectory (orange line). The views are coordinated and linked i.e. user interactions in one of the views will be reflected in other views. For instance, when the user points in one of the pixels in the spiral view, the circle size of the underlying pixel increases and a vertical line appears in the time series views to depict the corresponding position. In addition, in order to enable clinicians to observe erratic movements more clearly and thus improve the detection of irregularities, the system displays a color-map which gives an idea of the longevity of the spirography task. Figure 2 shows single randomly selected spirals drawn by a: A) patient who experienced dyskinesias, B) HE subject, and C) patient in Off state. Results: According to a domain expert (DN), the spirals drawn in the Off and dyskinesia motor states are characterized by different spatial and time features. For instance, the spiral shown in Fig. 2A was drawn by a patient who showed symptoms of dyskinesia; the drawing speed was relatively high (cf. blue-colored time series plot and the short timestamp scale in the x axis) and the spatial displacement was high (cf. orange-colored time series plot) associated with smooth deviations as a result of uncontrollable movements. The patient also exhibited low amount of hesitation which could be reflected both in the animation of the spiral as well as time series plots. In contrast, the patient who was in the Off state exhibited different kinematic features, as shown in Fig. 2C. In the case of spirals drawn by a HE subject, there was a great precision during the drawing process as well as unchanging levels of time-dependent features over the test trial, as seen in Fig. 2B. Conclusions: Visualizing spirography-based objective measures enables identification of trends and patterns of drug-related motor dysfunctions at the patient’s individual level. Dynamic access of visualized motor tests may be useful during the evaluation of drug-related complications such as under- and over-medications, providing decision support to clinicians during evaluation of treatment effects as well as improve the quality of life of patients and their caregivers. In future, we plan to evaluate the proposed approach by assessing within- and between-clinician variability in ratings in order to determine its actual usefulness and then use these ratings as target outcomes in supervised machine learning, similarly as it was previously done in the study performed by Memedi et al. (2013).