Xuzhou Institute of Technology

About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.

Data Processing and Text Mining Technologies on Electronic Medical Records: A Review.

Abstract: Currently, medical institutes generally use EMR to record patient’s condition, including diagnostic information, procedures performed, and treatment results. EMR has been recognized as a valuable resource for large-scale analysis. However, EMR has the characteristics of diversity, incompleteness, redundancy, and privacy, which make it difficult to carry out data mining and analysis directly. Therefore, it is necessary to preprocess the source data in order to improve data quality and improve the data mining results. Different types of data require different processing technologies. Most structured data commonly needs classic preprocessing technologies, including data cleansing, data integration, data transformation, and data reduction. For semistructured or unstructured data, such as medical text, containing more health information, it requires more complex and challenging processing methods. The task of information extraction for medical texts mainly includes NER (named-entity recognition) and RE (relation extraction). This paper focuses on the process of EMR processing and emphatically analyzes the key techniques. In addition, we make an in-depth study on the applications developed based on text mining together with the open challenges and research issues for future work.

Lump solutions to the BKP equation by symbolic computation

Abstract: Lump solutions are rationally localized in all directions in the space. A general class of lump solutions to the (2+1)-dimensional B-Kadomtsev–Petviashvili (BKP) equation is presented through symbolic computation with Maple. The Hirota bilinear form of the equation is the starting point in the computation process. Like the KP equation, the resulting lump solutions contain six arbitrary parameters. Two of the parameters are due to the translation invariances of the BKP equation with the independent variables, and the other four need to satisfy a nonzero determinant condition and the positivity condition, which guarantee analyticity and rational localization of the solutions.

Experimental study on the mechanical properties of rocks at high temperature

Abstract: The mechanical properties of marble, limestone, and sandstone as well as the stress-strain curve, the varying characteristics of the peak strength, the peak strain and elastic modulus were studied by using the MTS810 Rock Mechanics Servo-controlled Testing System under the action of temperatures rang-ing from room temperature to 800℃. Results show that (1) the peak strength and elastic modulus of marble fluctuate at the temperature from normal to 400℃; and they decrease gradually over 400℃. (2) With the rise of the temperature, the peak strength and elastic modulus of limestone show downward trend from normal temperature to 200℃; have little change from 200℃ to 600℃; and decrease sharply over 600℃. (3) The peak strength of sandstone shows a downward trend while a little change for elastic modulus at normal temperature to 200℃; and from 200℃ to 600℃, the peak strength of sandstone in-creases while a little change for elastic modulus; the peak strength and elastic modulus decrease rap-idly at the temperature over 600℃. (4) The peak strain of limestone shows little change at normal tem-perature to 600℃, however, the peak strain increases rapidly over 600℃; and for marble and sandstone, the peak strain decreases with the rise of the temperature from normal temperature to 200℃, the peak strain increases rapidly over 200℃. The result can provide valuable references for the rock engineering design at high temperature.