为了解决传统地图制图数据组织方法存在的不足和缺陷,提出一种基于地理信息系统(Geographic Information System,GIS系统)的地图矢量化成果可视化表达方法。该方法以ArcGIS平台为基础,利用ArcMap软件进行二次开发实现对地图矢量图层及...为了解决传统地图制图数据组织方法存在的不足和缺陷,提出一种基于地理信息系统(Geographic Information System,GIS系统)的地图矢量化成果可视化表达方法。该方法以ArcGIS平台为基础,利用ArcMap软件进行二次开发实现对地图矢量图层及属性信息的处理与分析功能;在此基础上,结合空间数据管理技术及面向对象分析理论,构建了一套适用于地理实体专题图件制作过程的地图符号库、注记库、符号库等数据库;并通过Web端的地图浏览器来实现各类专题图件的在线编辑、修改以及输出显示等操作。最后本文从多个方面阐述了基于GIS地图矢量化成果可视化表达的关键技术问题及其在实际工作中的应用情况,以期能够进一步提高地图制图数据组织效率,促进其向更高质量发展。展开更多
Purpose:Patients with diabetes mellitus have an elevated chance of developing cataracts,a degenerative visionimpairing condition often needing surgery.The process of the reduction of glucose to sorbitol in the lens of...Purpose:Patients with diabetes mellitus have an elevated chance of developing cataracts,a degenerative visionimpairing condition often needing surgery.The process of the reduction of glucose to sorbitol in the lens of the human eye that causes cataracts is managed by the Aldose Reductase Enzyme(AR),and it is been found that AR inhibitors may mitigate the onset of diabetic cataracts.There exists a large pool of natural and synthetic AR inhibitors that can prevent diabetic complications,and the development of a machine-learning(ML)prediction model may bring new AR inhibitors with better characteristics into clinical use.Methods:Using known AR inhibitors and their chemical-physical descriptors we created the ML model for prediction of new AR inhibitors.The predicted inhibitors were tested by computational docking to the binding site of AR.Results:Using cross-validation in order to find the most accurate ML model,we ended with final cross-validation accuracy of 90%.Computational docking testing of the predicted inhibitors gave a high level of correlation between the ML prediction score and binding free energy.Conclusions:Currently known AR inhibitors are not used yet for patients for several reasons.We think that new predicted AR inhibitors have the potential to possess more favorable characteristics to be successfully implemented after clinical testing.Exploring new inhibitors can improve patient well-being and lower surgical complications all while decreasing long-term medical expenses.展开更多
文摘为了解决传统地图制图数据组织方法存在的不足和缺陷,提出一种基于地理信息系统(Geographic Information System,GIS系统)的地图矢量化成果可视化表达方法。该方法以ArcGIS平台为基础,利用ArcMap软件进行二次开发实现对地图矢量图层及属性信息的处理与分析功能;在此基础上,结合空间数据管理技术及面向对象分析理论,构建了一套适用于地理实体专题图件制作过程的地图符号库、注记库、符号库等数据库;并通过Web端的地图浏览器来实现各类专题图件的在线编辑、修改以及输出显示等操作。最后本文从多个方面阐述了基于GIS地图矢量化成果可视化表达的关键技术问题及其在实际工作中的应用情况,以期能够进一步提高地图制图数据组织效率,促进其向更高质量发展。
文摘Purpose:Patients with diabetes mellitus have an elevated chance of developing cataracts,a degenerative visionimpairing condition often needing surgery.The process of the reduction of glucose to sorbitol in the lens of the human eye that causes cataracts is managed by the Aldose Reductase Enzyme(AR),and it is been found that AR inhibitors may mitigate the onset of diabetic cataracts.There exists a large pool of natural and synthetic AR inhibitors that can prevent diabetic complications,and the development of a machine-learning(ML)prediction model may bring new AR inhibitors with better characteristics into clinical use.Methods:Using known AR inhibitors and their chemical-physical descriptors we created the ML model for prediction of new AR inhibitors.The predicted inhibitors were tested by computational docking to the binding site of AR.Results:Using cross-validation in order to find the most accurate ML model,we ended with final cross-validation accuracy of 90%.Computational docking testing of the predicted inhibitors gave a high level of correlation between the ML prediction score and binding free energy.Conclusions:Currently known AR inhibitors are not used yet for patients for several reasons.We think that new predicted AR inhibitors have the potential to possess more favorable characteristics to be successfully implemented after clinical testing.Exploring new inhibitors can improve patient well-being and lower surgical complications all while decreasing long-term medical expenses.
