St. Luke's General Hospital

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    13027 research outputs found

    Power conditioning for computers

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    Power conditioning for computer

    Effects of intervention on differential treatment of boys and girls in elementary physical education lessons

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    This study examined the effects of verbal and graphic feedback: on the distribution of teacher verbal behaviors (positive and corrective feedback, praise, desist, and questioning) and the teacher's use of student demonstrators during elementary coeducation physical education lessons. Data were collected over a 3·month period on two female nonphysical education specialist elementary teachers. A multiple baseline design was used to show the efficacy of the treatment. The results indicated that in baseline both teachers interacted with boys and girls inequitably on all variables. The intervention package and daily follow-up were influential in establishing more equitable teacher interaction patterns with boys and girls, The teachers' use of demonstrators was also distributed more equitably between boys and girls following the intervention

    Improving school lighting for video display units

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    School lighting has in the past been relatively straightforward since the predominant occupation has been one of reading dark letters (print) on a light (paper) background. However, with the prolific installation of video display units (VDU's) in schools and colleges, presently and anticipated in the future, the task now becomes one of reading light text on a dark screen. Thus the level and technique of lighting needs to be reassessed in order that VDU screen problems can be reduced or effectively eliminated. Problems arise not just from a bad or inefficient lighting system, but also from its interaction with the surrounding environment, i.e. wall surfaces, windows and furniture. Whether the terminals are installed in existing classrooms or designed for new ones, this article will allow the computer studies instructor to identify and implement the key characteristics which contribute to an efficient and comfortable VDU lighting installation

    Criminal liability and the duty to remove danger

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    Comparison of infrared coagulation and rubber band ligation for first and second degree haemorrhoids: a randomised prospective clinical trial

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    One hundred and thirty seven previously untreated outpatients with first and second degree haemorrhoids were allocated at random to treatment by infrared coagulation (n=66) or rubber band ligation (n= 71). Complete follow up was obtained in 122 patients (60 who had undergone infrared coagulation (group 1), and 62 rubber band ligation (group 2)) at periods from three months to one year after completion of treatment. Infrared coagulation produced a satisfactory outcome in 51 patients (85%): 34 were rendered asymptomatic and 17 improved. Rubber band ligation produced a satisfactory outcome in 57 patients (92%): 33 were rendered asymptomatic and 24 improved. Both methods were equally effective in first and second degree haemorrhoids. The incidence of side effects, particularly discomfort, during and after treatment was significantly higher in those treated by rubber band ligation (p <0 001). This appeared to be an appreciable deterrent to future patient compliance. The number of patients losing more than 24 hours from work was higher after rubber band ligation than after infrared coagulation. The number of treatments necessary to cure symptoms did not differ significantly between the two methods. Infrared coagulation was significantly faster than rubber band ligation (p <0-001). Infrared coagulation is a simple, fast, and effective outpatient method for the treatment of first and second degree haemorrhoids with fewer troublesome side effects and higher patient acceptability than rubber band ligation

    The child ballad in Canada: a survey

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    While many folklorists might find the tabulation of Child ballad statistics a tedious and somewhat anachronistic exercise, few would deny the historical value of describing in detail the results of one phase of Canadian folksong research. It is our contention, however, that such an exercise serves deeper scholarly concerns. As an examination of a regional classical ballad repertoire, this survey provides a base for comparison with other regions. Given the broad geographic distribution and time depth represented by this genre, the Child ballads are well suited for such comparative study. Moreover, as the oldest level of the Anglo-Canadian song tradition, the national Child ballad repertoire forms an important base for folksong study within this country. An examination of maintenance and loss of story types within the Child corpus, as well as analysis of transformations undergone by individual ballads, could reveal culturally-specific concerns which may be reflected throughout the entire Canadian folksong repertoire

    Invoice #31415 attached: Automated analysis of malicious Microsoft Office documents

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    Microsoft Office may be by far the most widely used suite for processing documents, spreadsheets, and presentations. Due to its popularity, it is continuously utilised to carry out malicious campaigns. Threat actors, exploiting the platform’s dynamic features, use it to launch their attacks and penetrate millions of hosts in their campaigns. This work explores the modern landscape of malicious Microsoft Office documents, exposing the means that malware authors use. We leverage a taxonomy of the tools used to weaponise Microsoft Office documents and explore the modus operandi of malicious actors. Moreover, we generated and publicly shared a specially crafted dataset, which relies on incorporating benign and malicious documents containing many dynamic features such as VBA macros and DDE. The latter is crucial for a fair and realistic analysis, an open issue in the current state of the art. This allows us to draw safe conclusions on the malicious features and behaviour. More precisely, we extract the necessary features with an automated analysis pipeline to efficiently and accurately classify a document as benign or malicious using machine learning with an F1 score above 0.98, outperforming the current state of the art detection algorithms

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