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OBJECTIVE The purpose of this study was to evaluate the diagnostic accuracy of preoperative imaging for diagnosis of combined hepatocellular cholangiocarcinoma tumors and to evaluate the clinical and imaging features and demographics of patients presenting to our institution with such tumors. MATERIALS AND METHODS From January 2001 to January 2011, 29(More)
This paper provides new insight into the situational risks of young drivers, especially in terms of the passenger effect. Two 1988 data bases from the Ontario Ministry of Transportation were used to estimate accident involvement rates by number of passengers, time of day and day of the week--first individually and then for all two-way combinations with the(More)
OBJECTIVE To present the design and pilot test results of a continuous multi-sensor monitoring system of real-world physiological conditions and daily life (activities, travel, exercise, and food consumption), culminating in a Web-based graphical decision-support interface. MATERIALS AND METHODS The system includes a set of wearable sensors wirelessly(More)
BACKGROUND AND OBJECTIVES Laser-assisted lipolysis (LAL) devices are used as adjuncts to liposuction that create laser tunnels to heat the adipose and connective tissue. Available systems vary significantly across choice of wavelengths, power delivery, and tip design. Rationale are developed for optimum laser parameters evaluated with physical principles(More)
BACKGROUND Type 2 diabetes mellitus is known to be associated with environmental, behavioral, and lifestyle factors such as a sedentary lifestyle, overly rich nutrition, and obesity. However, the day-to-day human-environment interactions and real-life activities that cause an individual's blood glucose to fluctuate remain relatively unexplored, owing in(More)
Type 2 diabetes is known to be associated with environmental, behavioral, and lifestyle factors. However, the actual impacts of these factors on blood glucose (BG) variation throughout the day have remained relatively unexplored. Continuous blood glucose monitors combined with human activity tracking technologies afford new opportunities for exploration in(More)
Over the past few years, machine-learning methods have expanded enormously. These approaches are increasingly being applied to areas of exploratory data analysis, prediction, and classification problems. At the same time new analytical techniques are expanding, new conceptual approaches to modelling travel are emerging in an effort to improve travel demand(More)
Smartphone "apps" are a powerful tool for public health promotion, but unidimensional interventions have been ineffective at sustaining behavioural change. Various logistical issues exist in successful app development for health intervention programs and for sustaining behavioural change. This study reports on a smartphone application and messaging service,(More)
The use of first-principles based models of plasma processes is discussed in this paper. Such processes are essentially highly nonlinear, feature complex interactions and are difficult to analyse. As an illustration of the nature of first-principle based models, a characterisation of a simple plasma process is presented in this work. Quantification of the(More)