In this paper we describe experiments on predicting HTER, as part of our submission in the Shared Task on Quality Estimation, in the frame of the 9th Workshop on Statistical Machine Translation. In our experiment we check whether it is possible to achieve better HTER prediction by training four individual regression models for each one of the edit types (deletions, insertions, substitutions, sh...

introduction: in traditional medical education systems much interest is placed on the cramming of basic and clinical facts without considering their applicability in the future professional career. the aim of this study is to evaluate a novice medical training method (problem-based learning) as compared to the contemporary teacher-based medical education or traditional methods. methods: selecti...

Due to the advancement of mobile computing technology and the various sensors built in the smartphones, context-aware services are proliferating to everyday life. Location-based service (LBS), which provides the appropriate service to smartphone users according to their contexts, is becoming more popular, and the location is one of the most important contexts in LBS. Extracting and recognizing ...

Monitoring patients in intensive care units is a critical task. Simple condition detection is generally insufficient to diagnose a patient and may generate many false alarms to the clinician operator. Deeper knowledge is needed to discriminate among alarms those that necessitate urgent therapeutic action. We propose an intelligent monitoring system that makes use of many artificial intelligence...

Software security is an ongoing problem, largely due to a lack of knowledge among software developers from diverse backgrounds. To counter this, experts are attempting offer broad range resources enlighten about increasing cybersecurity threats. Unfortunately, the abundance does not seem have much impact on reducing issue security. The ineffective teaching and learning approaches for created di...