FACTOR ANALYSIS OF SPRINT PHASES ON THE SPEED CURVE OF THE 100M DASH

Previous studies have indicated that the speed curve of the 100m dash consists of some distinct phases which can be used to analyze an athlete's performance. The purpose of this study was to introduce a method using a portable computer as a device for the measurement of sprint time and the illustration of the speed curve, and to clarify a simple model of sprint phases on the factor structure. Based on the data of 133 participants, principal factor solution was given to the correlation matrix, and varimax rotation was applied to simplify the factorial structure of sprint phases. Finally, two factors were extracted and interpreted. It is suggested that this method is useful for measurement and evaluation in the 100m dash, and that a simple model of sprint phases may be explained by these two factors. These findings are important in predicting the ability of 100m sprinters and in considering coaching methods in terms of technique, training, strategy, etc

Common Peak Approach Using Mass Spectrometry Data Sets for Predicting the Effects of Anticancer Drugs on Breast Cancer

We propose a method for biomarker discovery from mass spectrometry data, improving the common peak approach developed by Fushiki et al. (BMC Bioinformatics, 7:358, 2006). The common peak method is a simple way to select the sensible peaks that are shared with many subjects among all detected peaks by combining a standard spectrum alignment and kernel density estimates. The key idea of our proposed method is to apply the common peak approach to each class label separately. Hence, the proposed method gains more informative peaks for predicting class labels, while minor peaks associated with specific subjects are deleted correctly. We used a SELDI-TOF MS data set from laser microdissected cancer tissues for predicting the treatment effects of neoadjuvant therapy using an anticancer drug on breast cancer patients. The AdaBoost algorithm is adopted for pattern recognition, based on the set of candidate peaks selected by the proposed method. The analysis gives good performance in the sense of test errors for classifying the class labels for a given feature vector of selected peak values

セイコウ オンド ニ オケル コタイ デンカイシツ ト コタイ サンカブツ ガルバニ デンチ ノ ケンキュウ

京都大学0048新制・論文博士工学博士乙第3816号論工博第1149号新制||工||433(附属図書館)UT51-54-H116(主査)教授 盛 利貞, 教授 森山 徐一郎, 教授 真嶋 宏学位規則第5条第2項該当Kyoto UniversityDFA

Morphological and molecular characterization of a new genus and new species of parazoanthid (Anthozoa: Hexacorallia: Zoantharia) associated with Japanese red coral (Paracorallium japonicum) in southern Japan

琉球大学21世紀COEプログラム「サンゴ礁島嶼系の生物多様性の総合解析」平成19年度成果発表会（平成20年3月1日開催）　招待講演会会場：理系複号棟102号室，ポスター発表会場：琉球大学50周年記念館1