In 1983, Horward Gardner, a professor of education at Harvard Universiy introduced the theory of Multiple Intelligence. This theory states that people have a unique blend of capabilities and skills （intelligences）. ...In 1983, Horward Gardner, a professor of education at Harvard Universiy introduced the theory of Multiple Intelligence. This theory states that people have a unique blend of capabilities and skills （intelligences）. In the classroom context, it implies that students possess different kinds of minds and therefore learn, remember, perform, and understand in different ways. Based on the theory, Gardner challenged the previous practices that gauged intelligence using IQ test which focused more on the ability to use language and/or logic. According to him, the measurement of people＇s intelligence should not be limited to linguistic and logical-mathematical abilities only, but should also cover other abilities. In addition to language and logic, Gardner proposed six other intelligences, which in the past were known as aptitudes or interests, namely： Visual-Spatial Intelligence, Musical Intelligence, Bodily-Kinesthetic Intelligence, Intrapersonal Intelligence, Interpersonal Intelligence, and Naturalist Intelligence. As an English teacher, we often have to deal with the fact that our classes consist of students who posses different intelligences. To help the students reach their maximum learning potential, teacher needs to respect students＇ uniqueness and accommodate the variety of intelligences. This can be done by applying multiple intelligences approach in designing classroom activities.展开更多
Thanks to the fast improvement of the computing power and the rapid development of the computational chemistry and biology,the computer-aided drug design techniques have been successfully applied in almost every stage...Thanks to the fast improvement of the computing power and the rapid development of the computational chemistry and biology,the computer-aided drug design techniques have been successfully applied in almost every stage of the drug discovery and development pipeline to speed up the process of research and reduce the cost and risk related to preclinical and clinical trials.Owing to the development of machine learning theory and the accumulation of pharmacological data, the artificial intelligence(AI) technology, as a powerful data mining tool, has cut a figure in various fields of the drug design, such as virtual screening,activity scoring, quantitative structure-activity relationship(QSAR) analysis, de novo drug design, and in silico evaluation of absorption, distribution, metabolism, excretion and toxicity(ADME/T) properties. Although it is still challenging to provide a physical explanation of the AI-based models, it indeed has been acting as a great power to help manipulating the drug discovery through the versatile frameworks. Recently, due to the strong generalization ability and powerful feature extraction capability,deep learning methods have been employed in predicting the molecular properties as well as generating the desired molecules,which will further promote the application of AI technologies in the field of drug design.展开更多
文摘In 1983, Horward Gardner, a professor of education at Harvard Universiy introduced the theory of Multiple Intelligence. This theory states that people have a unique blend of capabilities and skills （intelligences）. In the classroom context, it implies that students possess different kinds of minds and therefore learn, remember, perform, and understand in different ways. Based on the theory, Gardner challenged the previous practices that gauged intelligence using IQ test which focused more on the ability to use language and/or logic. According to him, the measurement of people＇s intelligence should not be limited to linguistic and logical-mathematical abilities only, but should also cover other abilities. In addition to language and logic, Gardner proposed six other intelligences, which in the past were known as aptitudes or interests, namely： Visual-Spatial Intelligence, Musical Intelligence, Bodily-Kinesthetic Intelligence, Intrapersonal Intelligence, Interpersonal Intelligence, and Naturalist Intelligence. As an English teacher, we often have to deal with the fact that our classes consist of students who posses different intelligences. To help the students reach their maximum learning potential, teacher needs to respect students＇ uniqueness and accommodate the variety of intelligences. This can be done by applying multiple intelligences approach in designing classroom activities.
基金supported by the National Natural Science Foundation of China (21210003 and 81230076 to H.J., 81773634 to M.Z. and 81430084 to K.C.)the “Personalized Medicines-Molecular Signature-based Drug Discovery and Development”, Strategic Priority Research Program of the Chinese Academy of Sciences (XDA12050201 to M.Z.)+1 种基金National Key Research & Development Plan (2016YFC1201003 to M.Z.)the National Basic Research Program (2015CB910304 to X.L.)
文摘Thanks to the fast improvement of the computing power and the rapid development of the computational chemistry and biology,the computer-aided drug design techniques have been successfully applied in almost every stage of the drug discovery and development pipeline to speed up the process of research and reduce the cost and risk related to preclinical and clinical trials.Owing to the development of machine learning theory and the accumulation of pharmacological data, the artificial intelligence(AI) technology, as a powerful data mining tool, has cut a figure in various fields of the drug design, such as virtual screening,activity scoring, quantitative structure-activity relationship(QSAR) analysis, de novo drug design, and in silico evaluation of absorption, distribution, metabolism, excretion and toxicity(ADME/T) properties. Although it is still challenging to provide a physical explanation of the AI-based models, it indeed has been acting as a great power to help manipulating the drug discovery through the versatile frameworks. Recently, due to the strong generalization ability and powerful feature extraction capability,deep learning methods have been employed in predicting the molecular properties as well as generating the desired molecules,which will further promote the application of AI technologies in the field of drug design.
