BACKGROUND Borderline ovarian tumors (BOTs) are a subset of epithelial ovarian tumors with low malignant potential but significant risk of relapse (10% to 30%). Unfortunately, surgical prognostic factors for BOT relapse have not been clearly identified, probably due to the use of heterogeneous surgical definitions and limited follow-up. The aim of this study was to assess potential relapse risk...

Correlated or synchronized bots commonly exist in social media sites such as Twitter. Bots work towards gaining human followers, participating in campaigns, and engaging in unethical activities such as spamming and false click generation. In this paper, we perform temporal pattern mining on bot activities in Twitter. We discover motifs (repeating behavior), discords (anomalous behavior), joins,...

This paper provides an overview of the SWARM-BOTS project, a robotic project sponsored by the Future and Emerging Technologies program of the European Commission. The paper illustrates the goals of the project, the robot prototype and the 3D simulator we built. It also reports on the results of experimental work in which distributed adaptive controllers are used to control a group of real, or s...

PURPOSE Recent studies have shown that the risk of cerebro- and cardiovascular events (CVEs) is higher in patients with primary aldosteronism (PA) than in those with essential hypertension (EH), and that silent brain infarction (SBI) is a risk factor and predictor of CVEs. Here, we evaluated the relationship between findings from laser speckle flowgraphy (LSFG), a recently introduced non-invasi...

To date, CAPTCHAs have served as the first line of defense to prevent unauthorized access by (malicious) bots web-based services, while at same time maintaining a trouble-free experience for human visitors. However, recent work in literature has shown that sophisticated using advancements Machine Learning (ML) can easily bypass existing CAPTCHA-based defenses. This introduces CAPTURE, novel CAP...

AIMS To compare rates and predictors of documented hypoglycaemia in type 2 diabetes patients treated with either basal insulin supported oral therapy (BOT), conventional therapy (CT) or supplementary insulin therapy (SIT) in primary care. METHODS Data from 10,842 anonymous patients (mean age ± SD: 54 ± 8 yrs) on BOT, 2,407 subjects (56 ± 7 yrs) on CT, and 7,480 patients (52 ± 10 yrs) using SI...

We describe an approach for simulating human game-play in strategy games using a variety of AI techniques, including simulated annealing, decision tree learning, and case-based reasoning. We have implemented an AI-bot that uses these techniques to form a novel approach for planning fleet movements and attacks in DEFCON, a nuclear war simulation strategy game released in 2006 by Introversion Sof...