28 research outputs found
Stereoselective micellar catalysis. Part 5. Deacylation behaviour in the cleavage of enantiomeric esters by optically active catalysts containing the imidazolyl group
The rate constants of both acylation and deacylation in the cleavage of the enantiomers of amino acid p-nitrophenyl esters catalysed by optically active catalysts containing the imidazolyl group have been determined in the presence of surfactant micelles at pH 7.30 in 0.02M-phosphate buffer and 25 °C. The kinetic analysis suggests a nucleophilic mechanism which involves acylation followed by deacylation at the imidazolyl group. Micellar catalysis in deacylation as well as acylation is examined in terms of the rate constants and stereoselectivity. The structural effects of catalysts and substrates and the stereoselective reaction mechanism are discussed.application/pdfjournal articl
The Great Leap Forward of Educational Undertakings, Part II
application/pdfdepartmental bulletin pape
The book review "Meguriai" by Doshisha Univ, CO-OP and the movement of reading promotion by Union Univ, CO-OP
同志社大学生協が発行した書評誌・『邂逅』の紹介をとおして、大学生協の書籍にかかわる前史や問題などを説明した。さらに書籍部の拡大とともに、大学教育にも深くかかわらざるをえなくなり、大学生協の役割を明確に意識しながら、全国的な読書推進運動を展開した。この読書推進運動は、大学生協独自の活動でありながら、学調(統計資料)にもとづき、大学生の読書傾向や読書嗜好を示し、大学・出版関係者にも議論を呼びかけるものであった。数回にわたる全国の交流会をへて、学生には理解しやすい一定の成果を獲得した。研究ノート(Note)application/pdfdepartmental bulletin pape
Don't fear ghosts. campaign
1961年に出版された『鬼を恐れない物語』及び人民日報・中国青年報の関連記事は、毛沢東及び文革推進派の政治的キャンペーンであることを指摘した。そこに掲載された作品を翻訳・紹介し、作品にそくして鬼の性質や特徴を取り上げた。さらに鬼の特徴は桃とワンセットの関係にあることを指摘した。またこのキャンペーンの時代背景を探り、60年前後の大災難(餓死者2000万から4000万)をものともせず、鬼(新たな餓死者)を恐れず、社会主義の推進を進めた異常さを問題視したものである。人民日报记在了"不怕鬼的故事"序言,还介绍了3篇作品。这是以"不怕鬼的故事"这样的名字为开始的政治运动。因此,把政治运动的目的和动向进行研究来汇报一下。报纸上介绍的3篇作品来分析鬼的特征。60年代大跃进失败了,很多农民饿死了。据估计那个时期死去的人数达千万之多。这样至少1500万的新鬼诞生了。这就是"不怕鬼的故事"出版的理由。毛泽东用这样的小册子来激励共产党员,让人们不怕鬼,继续进行革命运动。論文(Article)application/pdfdepartmental bulletin pape
The Great Leap Forward of Educational Undertakings, Part 1
application/pdfdepartmental bulletin pape
SBML Level 3: an extensible format for the exchange and reuse of biological models
Abstract Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction‐based models and packages that extend the core with features suited to other model types including constraint‐based models, reaction‐diffusion models, logical network models, and rule‐based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single‐cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution
Water Environment in Gujo Hachiman, Gifu Prefecture
短報SHORT ARTICLESdepartmental bulletin pape
SBML Level 3: an extensible format for the exchange and reuse of biological models
Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction-based models and packages that extend the core with features suited to other model types including constraint-based models, reaction-diffusion models, logical network models, and rule-based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution.journal articl
