We present a large-scale meta evaluation of eight evaluation measures for both single-document and multi-document summarizers. To this end we built a corpus consisting of (a) 100 Million automatic summaries using six summarizers and baselines at ten summary lengths in both English and Chinese, (b) more than 10,000 manual abstracts and extracts, and (c) 200 Million automatic document and summary retrievals using 20 queries. We present both qualitative and quantitative results showing the strengths and drawbacks of all evaluation methods and how they rank the different summarizers.

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Advances in video technology are being incorporated into today's healthcare practices. Colonoscopy is regarded as one of the most important diagnostic tools for colorectal cancer. Indeed, colonoscopy has contributed to a decline in the number of colorectal-cancer-related deaths. Although colonoscopy has become the preferred screening modality for prevention of colorectal cancer, recent data suggest that there is a significant miss rate for the detection of large polyps and cancers, and methods to investigate why this occurs are needed. To address this problem, we present a new computer-based method that analyzes a digitized video file of a colonoscopic procedure and produces a number of metrics that likely reflect the quality of the procedure. The method consists of a set of novel image-processing algorithms designed to address new technical challenges due to uncommon characteristics of videos captured during colonoscopy. As these measurements can be obtained automatically, our method enables future quality control in large-scale day-to-day medical practice, which is currently not feasible. In addition, our method can be adapted to other endoscopic procedures such as upper gastrointestinal endoscopy, enteroscopy, and bronchoscopy. Last but not least, our method may be useful to assess progress during colonoscopy training.

The aim of the present study was to investigate the effects of various triglyceride (TG)-lowering therapies on hypertriglyceridemia-induced acute pancreatitis (HTGAP). A total of 132 patients with HTGAP were retrospectively divided into an insulin intensive therapy (IIT), a plasma exchange (PE) and a non-intensive insulin therapy (NIIT) group according to the TG-lowering therapies they had received. The clinical and biochemical data of the subjects were analyzed. The baseline data, including sex, age, TG, amylase, severe acute pancreatitis and systemic inflammatory response syndrome were not significantly different among the three groups (P>0.05). The 24-h TG clearance rate (χ 2 =7.74, P=0.021), onset to treatment time (χ 2 =14.50, P<0.001) and the time required to reach the target TG level (χ 2 =6.12, P=0.047) were different in these three groups, but no significant differences were observed between the IIT and NIIT groups (P>0.05). The incidence of therapy-associated complications in the PE group (30.23%) was higher than that in the IIT (2.17%) and NIIT (4.65%) groups. The difference in the incidence of therapy-associated complications was significant among the three groups (P<0.001), but no significant difference was present between the IIT and NIIT groups (P>0.05). In the PE group, the length of stay was increased compared with that in the IIT and NIIT groups (χ 2 =7.05, P<0.05), while there was no significant difference between the IIT and NIIT groups (P>0.05). The present study suggested that NIIT at presentation had a similar therapeutic efficacy to that of IIT to improve the prognosis of HTGAP, and NIIT and IIT were associated with fewer complications than PE treatment. NIIT may favorably perform in patients presenting early after symptom onset and may be considered for clinical application.