The MANTIS MultimodAl system for NeTworks of In-situ wireless Sensors provides a new multithreaded embedded operating system integrated with a general-purpose single-board hardware platform to enable flexible and rapid prototyping of wireless sensor networks. The key design goals of MANTIS are ease of use, i.e. a small learning curve that encourages novice programmers to rapidly prototype novel...

Tabletops—and by extension, tabletop computers— naturally facilitate group work. In particular, they provide a fascinating platform for exploring the possibilities of collaborative audio improvisation. Existing tabletop instruments (and digital instruments in general) tend to impose either a steep learning curve on novice players or a frustrating ceiling of expressivity upon experts. We introdu...

Endoscopic submucosal dissection is a technically challenging but highly effective technique for the treatment of well selected early neoplasms in the digestive tract. Although it is frequently performed in East Asian countries, the Western world has not adopted this technique yet, probably due in part to the difficulty to learn it. Ex vivo and in vivo animal models are invaluable tools to over...

As historical data are typically unavailable for a start-up, risk assessment is always complex and challenging. Traditional methods incapable of capturing all facets this complexity; therefore, more sophisticated tools necessary. Using an expert-elicited Bayesian networks (BNs) methodology, paper aims to provide method combining diverse sources information, such as data, expert knowledge, the u...

As Hammond has argued, traditional explanations for disagreement among experts (incompetence, venality, and ideology) are inadequate. The character and fallibilities of the human judgement process itself lead to persistent disagreements even among competent, honest, and disinterested experts. Social Judgement Theory provides powerful methods for analysing such judgementally based disagreements ...

UNLABELLED A renal expert system (RENEX) has been developed to assist physicians detect renal obstruction in patients undergoing pre- and postfurosemide 99mTc-mercaptoacetyltriglycine (99mTc-MAG3) scans. RENEX uses quantitative parameters extracted from the dynamic renal scan data and heuristic rules in the form of a knowledge base (KB) obtained from expert interpreters to conclude whether a ki...

Automatic detection of severe weather events is of great interest to meteorologists. In this paper, we describe and evaluate a method to identify hook echoes automatically in radar reflectivity data. The method is based on the skeletonization of 2D shapes which are used to describe the shape of storms. We use 4 skeleton shape features: curvature, curve orientation, thickness variation and bound...

We developed an automated deep learning system to detect hip fractures from frontal pelvic x-rays, an important and common radiological task. Our system was trained on a decade of clinical x-rays (≈53,000 studies) and can be applied to clinical data, automatically excluding inappropriate and technically unsatisfactory studies. We demonstrate diagnostic performance equivalent to a human radiolog...

Quantitative cancer risk assessment is a dynamic field, more closely coupled to rapidly advancing biomedical research than ever before. Six areas of change and growth are identified: expansion from models of cancer initiation to a more complete picture of the total carcinogenic process; trend from curve-fitting to biologically based models; movement from upperbound estimates to best estimates, ...

We present AceWiki, a prototype of a new kind of semantic wiki using the controlled natural language Attempto Controlled English (ACE) for representing its content. ACE is a subset of English with a restricted grammar and a formal semantics. The use of ACE has two important advantages over existing semantic wikis. First, we can improve the usability and achieve a shallow learning curve. Second,...