This paper presents a project-oriented framework for multi-robot task scheduling. An agent-based architecture is designed to schedule tasks where robots are considered as resources. The study focused on the problems when the number of available robots is less than the required number. In this case, the problem becomes a resource-constrained scheduling problem. Initially, tasks are scheduled by ...

The Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia (CNTRICS) meeting on "Selecting Promising Animal Paradigms" focused on a consideration of valid tasks for drug discovery in non-humans. This consensus review is based on a break-out session with experts from academia and industry which considered tasks that tap working memory in animals. The specific focus of th...

This project is focused on toponym disambiguation and geographical focus identification in text. The goal is to improve the performance of geographic information retrieval systems. This paper describes the problems faced, working hypothesis, tasks proposed and goals currently achieved.

We develop an adaptive feedback-controlled scheduling algorithm for changing the processor shares of tasks—a process called reweighting—on real-time multiprocessor platforms. Our particular focus is reweighting schemes that are deployed in environments in which tasks may frequently require significant share changes. Prior work on enabling real-time adaptivity on multiprocessors has focused excl...

This current study assessed neurocognitive functioning in a carefully selected sample of schizophrenia patients with and without heavy cannabis use and healthy controls. All subjects were negative for any other substance use. Schizophrenia subjects had impaired neurocognitive functions across a wide range of tasks compared to healthy controls. Cannabis using schizophrenia patients had focused i...

In two previous papers, we have focused on summarizing and visualizing the edits of a single workflow and visualizing and merging the edits of two independent workflows. In this paper, we focus on visualizing the similarities and dissimilarities of many workflows where digital artists perform similar tasks. The tasks have been chosen so each artist starts and ends with a common state. We show h...

High Intensity Focused Ultrasound (HIFU) is a definitive treatment for localized prostate cancer that is currently utilized most in Europe and Japan but it not yet approved by the FDA for this indication. Within the armamentarium of definitive prostate cancer therapies it is unique as it is truly non-invasive and does not involve incision or excision. The purpose of this paper is to review the ...

Two devices are currently available for the treatment of prostate cancer with HIFU: Sonablate® and Ablatherm®. The outcomes achieved for primary-care patient are very promissing with mid- and long-term progression-free survival rates around 70%, negative postoperative prostate biopsies almost 85%, and an excellent morbidity profile. Moreover, HIFU has a considerable potential for local recurren...

This paper presents TIPSem, a system to extract temporal information from natural language texts for English and Spanish. TIPSem, learns CRF models from training data. Although the used features include different language analysis levels, the approach is focused on semantic information. For Spanish, TIPSem achieved the best F1 score in all the tasks. For English, it obtained the best F1 in task...

In this paper, we develop an adaptive scheduling framework for changing the processor shares of tasks—a process called reweighting—on real-time multiprocessor platforms. Our particular focus is adaptive frameworks that are deployed in environments in which tasks may frequently require significant share changes. Prior work on enabling realtime adaptivity on multiprocessors has focused exclusivel...