which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. A B C Fig. 1. Pretreatment photograph. (A) Extensive absence of skin on the left lower extremity, (B) a ruptured blister on the right hand, and (C) nail deformity of the left great toe. Bart syndrome is a rare inherited disorder characterized by the localize...

Continuing a program of research assessing the utility of the Behavioral Analog Risk Task (BART, Lejuez et al, 2002) as a measure ofrisk taking, the BART was administered to a non-forensic sample of individuals high and low in self-reported psychopathy. Inter-relations of BART performance with measures of psychopathy and impulsivity were examined, with an emphasis on exploring the predictive va...

ion Based on Forms Andreas Girgensohn, Beatrix Zimmermann, Alison Lee, Bart Burns, and Michael E. Atwood NYNEX Science and Technology 500 Westchester Avenue White Plains, NY 10604, USA {andreasg, bz, alee, bart, atwood}@nynexst.com

BACKGROUND Non-invasive measures of vascular reactivity have emerged to refine cardiovascular risk. However, limited data exists investigating vascular reactivity as a preoperative diagnostic tool for anesthesiologists. In this study, we compare the utility of two non-invasive techniques, Brachial Artery Reactivity Testing (BART) and Digital Thermal Monitoring (DTM), as surrogates for measuring...

BACKGROUND There is an increasing need for quantitative technologies suitable for molecular detection in a variety of settings for applications including food traceability and monitoring of genetically modified (GM) crops and their products through the food processing chain. Conventional molecular diagnostics utilising real-time polymerase chain reaction (RT-PCR) and fluorescence-based determin...

As the technology for building knowledge based systems has matured, important lessons have been learned about the relationship between the architec­ ture of a system and the nature of the problems it is intended to solve. We are implementing a knowledge engineering tool called BART that is designed with these lessons in mind. BART is a Bayesian reason­ ing tool that makes belief networks and ot...

Generative commonsense reasoning which aims to empower machines generate sentences with the capacity of over a set concepts is critical bottleneck for text generation. Even state-of-the-art pre-trained language generation models struggle at this task and often produce implausible anomalous sentences. One reason that they rarely consider incorporating knowledge graph can provide rich relational ...

Let A and B be hypergraphs with a common vertex set V . In a (p, q,A ∪ B) Bart-Moe game, the players take turns selecting previously unclaimed vertices of V . The game ends when every vertex has been claimed by one of the players. The first player, called Bart (to denote his role as Breaker and Avoider together), selects p vertices per move and the second player, called Moe (to denote his role ...

Flow network models can capture the underlying physics and operational constraints of many networked systems including power grid transportation water networks. However, analyzing reliability using computationally expensive flow-based faces substantial challenges, especially for rare events. Existing actively trained meta-models, which present a new promising direction in analysis, are not appl...