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Advances in molecular biology provide various methods to define the structure and function of the individual proteins that form the component parts of subcellular structures. The ability to see the dynamic behavior of a specific protein inside the living cell became possible through the application of advanced fluorescence resonance energy transfer (FRET)(More)
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression model from fine-grained user behavioral data and predicts click-through rate (CTR) from user history. We designed and implemented a highly scalable and efficient solution to BT using(More)
Conversations are a useful means of structuring communicative interactions among agents. The value of a conversationbased approach is largely determined by the conversational model it uses. Finite State Machines, used heavily to date for this purpose, are not su cient for complex agent interactions requiring a notion of concurrency. We propose the use of(More)
One-Class Collaborative Filtering (OCCF) is an emerging setup in collaborative filtering in which only positive examples or implicit feedback can be observed. Compared with the traditional collaborative filtering setting where the data has ratings, OCCF is more realistic in many scenarios when no ratings are available. In this paper, we propose to improve(More)
We describe a real-time bidding algorithm for performance-based display ad allocation. A central issue in performance display advertising is matching campaigns to ad impressions, which can be formulated as a constrained optimization problem that maximizes revenue subject to constraints such as budget limits and inventory availability. The current practice(More)
Power consumption is a critical issue for voice-over-IP (VoIP) over wireless LAN applications, especially when handheld 802.11 voice terminals are used as the end-user device. This paper provides an overview of power save procedures defined in the IEEE 802.11 wireless LAN standard, and proposes a novel power management technique for stations and services(More)
Conversations are a useful means of structuring communicative interactions among agents. The value of a conversation-based approach is largely determined by the conversational model it uses. Finite State Machines, used heavily to date for this purpose, are not su cient for complex agent interactions requiring a notion of concurrency. We propose the use of(More)
Oligosaccharides expressed on cell surface and extracellular matrix glycoconjugates are potentially of crucial importance in determining many cell interactions. The complexity of cellular organisation of the brain and suggested involvement of N-glycosylation in neural development, make this an ideal system to study the potential role of glycosylation in(More)
This paper extends our earlier work on the analysis of neutral N-glycans from adult rat brain to glycans carrying NeuAc residues as their sole charged groups. These structures comprised at least 40% of the total (acidic and neutral) N-glycan pool. Compounds were identified by a combination of endoglycosidase and exoglycosidase digestions, anion-exchange(More)