Brian Hudson

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Bringing new medicines to the market depends on the rapid discovery of new and effective drugs, often initiated through the biological testing of many thousands of compounds in high-throughput screening (HTS). Mixing compounds together into pools for screening is one way to accelerate this process and reduce costs. This paper contains both theoretical and(More)
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common form of hereditary cerebral angiopathy. We present a case in which a pattern of diffusion signal change compatible with bihemispheric acute watershed infarcts occurred in a symptomatic patient demonstrating global hypoperfusion. To our(More)
Utilizing off the shelf low cost parts, we have constructed a robot that is small, light, powerful and relatively inexpensive (< $3900). The system is constructed around the Beowulf concept of linking multiple discrete computing units into a single cooperative system. The goal of this project is to demonstrate a new robotics platform with sufficient(More)
PURPOSE The use of mature dendritic cells (DCs) presenting tumor-associated antigens (TAAs) to trigger tumor-specific T cells in vivo or in vitro represents a promising approach for cancer immunotherapy. We hypothesized that tumor antigens, mostly unidentified, are present on ovarian tumor cells and that mature DCs could be used to generate tumor-specific(More)
In this paper we discuss the background to this study in the development of the international MSc e-Learning Multimedia and Consultancy . The aims of the study focus on the conditions for achieving communication, interaction and collaboration in open and flexible e-learning environments. We present our theoretical framework that has informed the design of(More)
This paper is based on a study of the student learning experience in a particular module of an international Masters programme that included a large element of online learning. It builds on earlier work which highlighted the importance of design and development of social infrastructure for supporting the development of an online learning community by(More)
In Online Social Networks (OSNs), the audience size commanded by an organization or an individual is a critical measure of that entity's popularity. This measure has important economic and/or political implications. Organizations can use information about their audience, such as age, location etc., to tailor their products or their message appropriately.(More)
Massive Online Courses (MOC) are challenges to be addressed using ICT enabled learning environments and they contain learning communities in thousands. Learners’ expectation in these courses is to obtain certification and it depends on the assessment. To obtain effective results, learning and assessment have to be carried out together but it could create(More)
Quantitative structure-property relationships for predicting the water-octanol partition coefficient, logP(OW), are reported. The models are based on local properties calculated at the standard isodensity surface using semiempirical molecular orbital theory and use descriptors obtained as the areas of the surface found in each bin in a predefined binning(More)