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Recognition of user activities is a key issue for context-aware computing. We present a method for recognition of user daily activities using gaze motion features and image-based visual features. Gaze motion features dominate for inferring the user's egocentric context whereas image-based visual features dominate for recognition of the environments and the(More)
Reading is a ubiquitous activity that many people even perform in transit, such as while on the bus or while walking. Tracking reading enables us to gain more insights about expertise level and potential knowledge of users -- towards a reading log tracking and improve knowledge acquisition. As a first step towards this vision, in this work we investigate(More)
The document analysis community spends substantial resources towards computer recognition of any type of text (e.g. characters, handwriting, document structure etc.). In this paper, we introduce a new paradigm focusing on recognizing the activities and habits of users while they are reading. We describe the differences to the traditional approaches of(More)
Lactoferrin (LF), an 80-kDa iron-binding glycoprotein found in mammalian exocrine secretions, has potential therapeutic efficacy due to its extensive health-promoting effects. However, LF is rapidly cleared from the circulation (∼12.6min half-life for recombinant human LF [rhLF] in rats), which limits its therapeutic potential. Therefore, to improve plasma(More)
Fusion of therapeutic proteins with the antibody Fc domain is a strategy widely applied to increase protein half-life in plasma. In our previous study, we generated a recombinant human lactoferrin (hLF)-immunoglobulin G1 Fc fusion protein (hLF-hinge-CH2-CH3) with improved stability, biological activity, and pharmacokinetics ( Shiga , Y. et al. Eur J Pharm(More)
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