Self-Expanded Clustering Algorithm Based on Density Units with Evaluation Feedback Section

This paper presents an effective clustering mode and a novel clustering result evaluating mode. Clustering mode has two limited integral parameters. Evaluating mode evaluates clustering results and gives each a mark. The higher mark the clustering result gains, the higher quality it has. By organizing two modes in different ways, we can build two clustering algorithms： SECDU（Self-Expanded Clustering Algorithm based on Density Units） and SECDUF（Self-Expanded Clustering Algorithm Based on Density Units with Evaluation Feedback Section）. SECDU enumerates all value pairs of two parameters of clustering mode to process data set repeatedly and evaluates every clustering result by evaluating mode. Then SECDU output the clustering result that has the highest evaluating mark among all the ones. By applying ＂hill-climbing algorithm＂, SECDUF improves clustering efficiency greatly. Data sets that have different distribution features can be well adapted to both algorithms. SECDU and SECDUF can output high-quality clustering results. SECDUF tunes parameters of clustering mode automatically and no man＇s action involves through the whole process. In addition, SECDUF has a high clustering performance.

CHINA FOUNDRY Outstanding Paper Award Evaluation Results

CHINA FOUNDRY,begun in August 2004,sponsored by Shenyang Research Institute of Foundry,the only foundry research institution in China’s foundry industry,is a peer-revewed and SCI-E-indexed scholarly journal.It is now published jointly by Foundry Journal Agency and Springer in English to a worldwide readership.In order to recognize high quality and highly cited papers,and to enhance the quality and academic level of journal publication,CHINA FOUNDRY journal agency assessed articles published in 2015 and 2016.

Research and perspectives on criteria for evaluation of nursing research achievements

This paper introduces concepts related to scientific research achievements, analyzes current evaluation methods with regard to nursing research achievements and their application at home and abroad, and summarizes findings from the investigation of obstacles to the application of nursing research results in China, aiming to provide reference points for the evaluation and application of nursing research results in China.

Prognostic implications of creatine kinase-MB elevation after percutaneous coronary intervention results from the evaluation of drug-eluting stents and ischemic events (EVENT) registry

Background Creatine kinase-MB （CK-MB） elevation after been associated with increased risk for mortality. Although most infarction （pMI） as an elevation in CK-MB 〉 3 × upper limit of and variation in site-specific definitions of the ULN may limit the percutaneous coronary intervention （PCI） has studies have defined periprocedural myocardial normal （ULN）, use of different CK-MB assays value of such relative thresholds.

Bleeding risk comparing targeted low-dose heparin with bivalirudin in patients undergoing percutaneous coronary intervention results from a propensity score-matched analysis of the evaluation of drug-eluting stents and ischemic events (EVENT) registry

Background Prior randomized trials have shown reduced bleeding with bivalirudin compared with unfractionated heparin （UFH） in patients undergoing percutaneous coronary intervention （PCI）. However, it is not known if this benefit is also present when UFH doses are more tightly controlled （as measured by activated clotting time, ACT）.