This paper reports on an empirical study that investigates the effects of the personality trait of neuroticism on the academic performance of students who practiced pair programming during one academic semester. The e...
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Arbitrary orientation and sparse data content are common characteristics of torn document. To ensure accuracy and reliability in computer-based analysis, content-zone segmentation is required. In our previous work, we...
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This position paper describes the Human-computer Interaction (HCI) field studies component of the multidisciplinary Patient Records Enhancement Project (PREP). PREP seeks to understand variability of data found in pri...
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The need of interoperable e-government services is addressed through the use of web services where sensitive services need to be granted to only authorized subjects from different organizations. In this paper, we prop...
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This position paper describes the Human-computer Interaction (HCI) field studies component of the multidisciplinary Patient Records Enhancement Project (PREP). PREP seeks to understand variability of data found in pri...
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This position paper describes the Human-computer Interaction (HCI) field studies component of the multidisciplinary Patient Records Enhancement Project (PREP). PREP seeks to understand variability of data found in primary care electronic records, in particular the balance between coded data and doctor's 'free text' notes. HCI fieldwork will establish variables that affect recording practices. In field studies we observe and record data recording practices in general practice (GP) surgeries, interview staff, video consultations with real patients and video consultations with standardized patients (played by medical actors). By standardizing patients we can compare the impact of other variables: different doctors, in different surgeries, using different e-health systems. Our early findings suggest that variability is due to a complex web of reasons, driven by personal, contextual and organizational processes. Findings from thematic analysis will result in design implications for studies by epidemiologists and public health researchers, design of NHS training and work processes, and design of electronic health record interfaces.
This paper presents a semi-automatic method for the visualization and analysis of motion in signed language from a digital video. The method detects the different parts of the signer's bare skin on the video, trac...
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Automatic identification of an individual based on his/her handwriting characteristics is an important forensic tool. In a computational forensic scenario, presence of huge amount of text/information in a questioned d...
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Gene regulation is controlled by transcription factor proteins which themselves are encoded as genes. This gives a network of interacting genes which control the functioning of a cell. With the advent of genome wide e...
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We present the information extraction system Text2SemRel. The system (semi-) automatically constructs knowledge bases from textual data consisting of facts about entities using semantic relations. An integral part of ...
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Because of restricted energy of the sensor nodes, the location error, costs of communication and computation should be considered in localization algorithms. The DV-Hop algorithm was detailedly analyzed and the main r...
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Because of restricted energy of the sensor nodes, the location error, costs of communication and computation should be considered in localization algorithms. The DV-Hop algorithm was detailedly analyzed and the main reasons for the error were pointed out, aiming at the different position anchor nodes' effect on location error, a novel localization algorithm called DV-Hop_Bon (DV-Hop based on optimal nodes) based on optimal nodes was put forward. Finally, it was simulated on Matlab, the results of the simulation show that the novel localization algorithm improves the localization precision with a short communication radius. Therefore it can be applied to wireless sensor networks widely.
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