A Hierarchical Cluster Analysis of Low-Latitude Pc3-4 MHD Waves

A hierarchical cluster analysis has been made on the geomagnetic and geoelectric data of Nagoya ( Φ =21.1°), Japan (1978 1981, 1985, 1987) and geomagnetic data of Wuchang ( Φ =19.1°), China (1985 1995). From the cluster diagram it is seen that the monthly mean occurrence of Pc3 4 observed at these two sites can be best grouped into 3 clusters.

Study on Chinese Medicine Syndrome of Colorectal Carcinoma in Perioperative Period

Objective：To explore the distribution characteristics of Chinese medicine（CM） syndromes and the rule of dynamic evolvement in patients with colorectal cancer at the perioperative period by applying a mathematical statistics methodology.Methods：By using the overall sample date,and cross-sectional descriptive and prospective researching methods,the clinical data of CM symptoms of patients with colorectal cancer from the first day of preoperative care to the third,seventh,and tenth days after the operation were collected.The distribution characteristics of CM syndromes and dynamic evolution were concluded upon by experts,and then by building up a database through the use of EpiData3.1 the frequency statistics and cluster analyses were applied utilizing SAS9.2software.Results：Among 210 cases of patient,on the day before the operation,the main route of syndrome was blood deficiency（33.33%）,followed by the syndrome of deficiency of both qi and yin（28.57%）.On the third day after surgery,the main syndrome was qi deficiency（47.62%）,followed by yin deficiency inner-heat.On the seventh day after surgery,the main syndrome was both yin deficiency inner-heat（33.33%） and phlegm-dampness（33.33%）.On the tenth day after surgery,the main syndrome was a deficiency of both qi and yin（38.09%）,followed by dampness and hot accumulative knotting（33.33%）.Conclusion：Research in the field of the distribution characteristics of CM syndromes and dynamic evolution will provide an objective basis for syndrome differentiation for patients in the perioperative period,further advancing the study of preventing and decreasing relapse and metastasis in CM therapy.

Identification of long-range transport pathways and potential sources of PM2.5 and PM10 in Beijing from 2014 to 2015

Trajectory clustering, potential source contribution function （PSCF） and concentration-weighted trajectory （CWT） methods were applied to investigate the transport pathways and identify potential sources of PM2.s and PMIo in different seasons from June 2014 to May 2015 in Beijing. The cluster analyses showed that Beijing was affected by trajectories from the south and southeast in summer and autumn. In winter and spring, Beijing was not only affected by the trajectories from the south and southeast, but was also affected by trajectories from the north and northwest. In addition, the analyses of the pressure profile of backward trajectories showed that backward trajectories, which have important influence on Beijing, were mainly distributed above 970 hPa in summer and autumn and below 950 hPa in spring and winter. This indicates that PM2.s and PMIo were strongly affected by the near surface air masses in summer and autumn and by high altitude air masses in winter and spring. Results of PSCF and CV/T analyses showed that the largest potential source areas were identified in spring, followed by winter and autumn, then summer. In addition, potential source regions of PMIo were similar to those of PM2.5. There were a clear seasonal and spatial variation of the potential source areas of Beijing and the airflow in the horizontal and vertical directions. Therefore, more effective regional emission reduction measures in Beijing＇s surrounding provinces should be implemented to reduce emissions of regional sources in different seasons.