Daniel Long

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The clinical efficacy of opioid receptor antagonists for the treatment of opioid-induced constipation (OIC) is established. Peripherally selective antagonists are intended to provide OIC symptom relief without compromising the analgesic effects of centrally penetrant opioid agonists. We describe the in vitro profile of a novel opioid receptor antagonist,(More)
Traditional genetic programming only supports the use of arithmetic and logical operators on scalar features. The GTMOEP (Georgia Tech Multiple Objective Evolutionary Programming) framework builds upon this by also handling feature vectors, allowing the use of signal processing and machine learning functions as primitives, in addition to the more(More)
The in vivo preclinical pharmacodynamic profile of TD-1211, a selective opioid receptor antagonist currently under development for the treatment of opioid-induced constipation, was compared to that of the clinically studied opioid antagonists, naltrexone, alvimopan, and ADL 08-0011 (the primary active metabolite of alvimopan). The oral activity of TD-1211(More)
Clustering and nearest neighbor searches in high dimensions are fundamental components of computational geometry, computational statistics, and pattern recognition. Despite the widespread need to analyze massive datasets, no MPI-based implementations are available to allow this analysis to be scaled to modern highly parallel platforms. We seek to develop a(More)
Traditional genetic programming only supports the use of arithmetic and logical operators on scalar features. The GTMOEP (Georgia Tech Multiple Objective Evolutionary Programming) framework builds upon this by also handling feature vectors, allowing the use of signal processing and machine learning functions as primitives, in addition to the more(More)
BACKGROUND In many surgical pathology laboratories, operating room schedules are prospectively reviewed to determine specimen distribution to different subspecialty services and to predict the number and nature of potential intraoperative consultations for which prior medical records and slides require review. At our institution, such schedules were(More)
Modern processor architectures sacrifice timing predictability to improve average performance. Branch prediction, out-of-order execution, and multi-level cache hierarchies complicate accurate execution time estimates. The timing demands of Cyber Physical Systems (CPS) have led some to propose new processor architectures, including Precision Timed (PRET)(More)
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