Geometric morphometrics （GM） is an important method of shape analysis and increasingly used in a wide range of scientific disciplines. Presently, a single character comparison system of geometric morphometric data i...Geometric morphometrics （GM） is an important method of shape analysis and increasingly used in a wide range of scientific disciplines. Presently, a single character comparison system of geometric morphometric data is used in almost all empirical studies, and this approach is sufficient for many scientific problems. However, the estimation of overall similarity among taxa or objects based on multiple characters is crucial in a variety of contexts （e.g. （semi-）automated identification, phenetic relationships, tracing of character evolution, phylogenetic reconstruction）. Here we propose a new web-based tool for merging several geometric morphometrics data files from multiple characters into a single data file. Using this approach information from multiple characters can be compared in combination and an overall similarity estimate can be obtained in a convenient and geometrically rigorous manner. To illustrate our method, we provide an example analysis of 25 dung beetle species with seven Procrustes superimposed landmark data files representing the morphological variation of body features： the epipharynx, right mandible, pronotum, elytra, hindwing, and the metendosternite in dorsal and lateral view. All seven files were merged into a single one containing information on 649 landmark locations. The possible applications of such merged data files in different fields of science are discussed.展开更多
Summary: the nursing experience of an elderly patient with infectious shock and subarachnoid hemorrhage. Key nursing points: make comprehensive evaluation, strictly monitor vital signs, closely observe condition chang...Summary: the nursing experience of an elderly patient with infectious shock and subarachnoid hemorrhage. Key nursing points: make comprehensive evaluation, strictly monitor vital signs, closely observe condition changes, cooperate with doctors;do pipeline care to avoid complications;give psychological care, improve treatment compliance;safe medication, implement various safety measures;early identification and care of subarachnoid hemorrhage. After 21 days of intensive cluster care, the patient recovered and was discharged.展开更多
基金supported by the National Natural Science Foundation of China(31672345,51305057,61379087)the Research Equipment Development Project of Chinese Academy of Sciences(YZ201509)a Humboldt Fellowship(M.B.) from Alexander von Humboldt Foundation
文摘Geometric morphometrics （GM） is an important method of shape analysis and increasingly used in a wide range of scientific disciplines. Presently, a single character comparison system of geometric morphometric data is used in almost all empirical studies, and this approach is sufficient for many scientific problems. However, the estimation of overall similarity among taxa or objects based on multiple characters is crucial in a variety of contexts （e.g. （semi-）automated identification, phenetic relationships, tracing of character evolution, phylogenetic reconstruction）. Here we propose a new web-based tool for merging several geometric morphometrics data files from multiple characters into a single data file. Using this approach information from multiple characters can be compared in combination and an overall similarity estimate can be obtained in a convenient and geometrically rigorous manner. To illustrate our method, we provide an example analysis of 25 dung beetle species with seven Procrustes superimposed landmark data files representing the morphological variation of body features： the epipharynx, right mandible, pronotum, elytra, hindwing, and the metendosternite in dorsal and lateral view. All seven files were merged into a single one containing information on 649 landmark locations. The possible applications of such merged data files in different fields of science are discussed.
文摘Summary: the nursing experience of an elderly patient with infectious shock and subarachnoid hemorrhage. Key nursing points: make comprehensive evaluation, strictly monitor vital signs, closely observe condition changes, cooperate with doctors;do pipeline care to avoid complications;give psychological care, improve treatment compliance;safe medication, implement various safety measures;early identification and care of subarachnoid hemorrhage. After 21 days of intensive cluster care, the patient recovered and was discharged.
