STATISTICAL CLASSIFICATION AND CHARACTERISTICS ANALYSIS OF BINARY TROPICAL CYCLONES OVER THE WESTERN NORTH PACIFIC OCEAN

Using the 1949-2007 western North Pacific tropical cyclones (TCs) best-track data archived at the Shanghai Typhoon Institute of China Meteorological Administration for the western North Pacific from 1949 to 2007,both the characteristics of binary and multiple TCs and samples of interactions among TCs and multi-TCs are identified and statistically analyzed.According to the various features of individual TC tracks and interacting tracks,seven distinct types are proposed to describe the binary system of TCs and their interaction samples.The mean trajectories of the west and east component of binary TCs in each type are obtained using a new cluster analysis technique.These types are then analyzed in terms of landfall process,occurrence seasonality,coexistent lifetime,especially the large-scale patterns of atmospheric circulation.Finally,typical steering flows and conceptual models of the binary TCs at different phases are established based on six-hourly flow maps of the binary system and the averages are determined of the mean steering flow of ten representative binary TCs.Then,typical steering flows and conceptual models at the beginning,middle and final phase in each type are established to describe the large-scale circulation patterns of the binary system interaction types.

Statistical Methods for Classification of Medicinal Plants

Statistical classification methods are frequently applied to analyze metabolomics data, especially from medicinal plants. Combined with variable selection techniques, we are able to identify marker candidates, which can be used to discriminate the group to which unknown subjects belong. After preprocessing, such as outlier checking, normalization, missing value imputation and transformation, we then mainly utilized four novel classification methods： RF （random forest）, NSC （nearest shrunken centroid）, PLS-DA （partial least square discriminant analysis） and SAM （significant analysis ofmicroarrays）. Each method has its own device to measure the importance of single metabolite, so that, it is probable to choose highly ranked metabolites, which show the best prediction accuracy. Adapting above strategy, we have successfully analyzed several kinds of metabolomics data including Panax ginseng, Lespedeza species, Anemarrhean asphodeloides and Gastrodia elata.

A statistical approach to classification of keratoconus

INTRODUCTIONThe front portion of the eye consists of a transparent layer called the cornea.The cornea is an important optical component for vision and plays a role in the specific refraction of the eye.The cornea normally has convexity but the amount of protrusion progressively increases in patients with keratoconus.In other words,the cornea prolapses forward.Keratoconus is a bilateral,typically asymmetric and non-inflammatory degeneration of the cornea caused by corneal protrusion as a result of progressive thinning of the corneal stroma.Corneal thinning generally occurs in the inferior,inferotemporal or central regions of the cornea.

Identification and Quantification of Non-Spherical Particles

In commercial applications of phase Doppler anemometry (PDA), the effectiveness of non sphericity of particles is present and the response of PDA system deviates from the theoretical prediction. In this paper, the statistic characteristics of PDA signal related to irregular particles is analyzed and a method of statistic classification of irregular particles is proposed.It proves that the parameter of PDA signal for irregular particles is an unbiased estimation for spherical ones, the mean of the phase difference is in direct proportion to the mean diameter of particles and the standard deviation of the phase difference increases linearly with the standard deviation of irregular particles. As an application of the identification of irregular objects, fuzzy patterns and similarities of haemocytes are used to recognize and quantify cell samples.The statistic classification of particles is more significant in practice.

Literature Analysis of Bryophytes in China during 2005-2015

In order to study China's bryophyte,this paper uses bibliometrics for statistical analysis of literature about China's bryophyte during 2005-2015.The results show that in terms of published article distribution of different journals,there are 13 kinds of journals with more than 5 papers about bryophyte,accounting for 32.5%; in terms of the number of papers published in different years,it was smallest in 2005,only 16,while it reached the largest number of 33 in 2008; in terms of the number of papers published for different first authors,there are most authors publishing less than 9 papers,accounting for 87.5%,there is only one author publishing 9 papers,and there are 5 people publishing more than 9 papers; in terms of author unit distribution,in the 278 articles collected,there are 12 units publishing papers of less than 6,accounting for 30%,the unit publishing the most papers(36) is Guizhou Normal University,5 units publish 6 papers,accounting for 12.5%,and the units publishing papers of less than 6 account for 57.5%; in terms of literature research level,there are most papers about basic and applied basic research(natural science),accounting for 91.2%,the papers about engineering and technology(natural science) account for 5.5%,and other papers account for 3.3%.