人工湿地中总悬浮物的去除机理研究

人工湿地处理系统作为一种经济高效的污水生态处理技术方式已被广泛应用。本文从理论方面详细介绍了人工湿地对污水中总悬浮物质的去除机理研究,主要从过滤、沉淀、吸附、水生植物和微生物去探讨人工湿地是如何去除悬浮颗粒物质。     

Diatom-inspired multiscale mineralization of patterned protein–polysaccharide complex structures

Marine diatoms construct their hierarchically ordered, three-dimensional (3D) external structures called frustules through precise biomineralization processes. Recapitulating the remarkable architectures and functions of diatom frustules in artificial materials is a major challenge that has important technological implications for hierarchically ordered composites. Here, we report the construction of highly ordered, mineralized composites based on fabrication of complex self-supporting porous structures—made of genetically engineered amyloid fusion proteins and the natural polysaccharide chitin—and performing in situ multiscale protein-mediated mineralization with diverse inorganic materials, including SiO₂, TiO₂ and Ga₂O₃. Subsequently, using sugar cubes as templates, we demonstrate that 3D fabricated porous structures can become colonized by engineered bacteria and can be functionalized with highly photoreactive minerals, thereby enabling co-localization of the photocatalytic units with a bacteria-based hydrogenase reaction for a successful semi-solid artificial photosynthesis system for hydrogen evolution. Our study thus highlights the power of coupling genetically engineered proteins and polysaccharides with biofabrication techniques to generate hierarchically organized mineralized porous structures inspired by nature.     

研究生创新实验评价体系权重智能计算方法研究

针对人工鱼群算法的缺陷,采用混沌扰动方法对其进行改进,提出了混沌扰动人工鱼群算法(CAFSA。将计算智能技术应用于计算研究生创新实验评价体系各指标的权重,提出了基于改进层次分析法(IM-AHP和CAFSA确定评价体系指标权重的智能计算方法,设计出了CAFSA实例化的具体方案。结果分析表明该方法是科学有效的。     

低年级本科生人工智能通识选修课教学方法研究

随着人工智能教育的普及,各高校纷纷开设人工智能课程。文章根据人工智能课程的特点,分析面向低年级本科生开设人工智能选修课时遇到的问题,提出了一套人工智能通识课的教学改革方法,比如:优化教学内容;借助AI Studio学习平台,利用深度学习框架PaddlePaddle进行编程实践,并采用合理的课程考核方式;在传授理论知识的同时,注重实际动手环节,培养学生的学习兴趣。     

生物医学工程专业开展人工智能课程建设的问题和实践探索

健康中国战略的实施与推进,对生物医学工程专业开展人工智能课程建设和人才培养提出了新的要求.分析目前国内高校医学人工智能课程建设中存在的问题,从几个方面提出了提高高校医学人工智能课程教学质量的几点措施.     

国内人工智能研究的知识图谱分析

为全面分析国内人工智能的研究现状和研究热点,运用Vosviewer与Citespace软件对CNKI数据库中1992-2020年国内人工智能研究的相关文献进行可视化分析,绘制作者共现图谱、关键词共现标签视图、关键词时区图谱.在此基础,对人工智能在过去二十多年间的研究主题演化、内容分支、跨学科融合等问题进行介绍;换言之,...     

人工智能专利申请的专利保护客体判断

人工智能领域的专利申请是否符合专利保护客体的规定,进而能否获得专利权,是人们十分关心的问题.为了进一步明确相关的审查标准,国家知识产权局于2019年12月31日发布了关于修改《专利审查指南》的公告,对于包含算法或商业规则和方法等智力活动的规则和方法特征的专利申请,如何判断其是否符合专利保护客体、如何进行创造性的判断,进...     

Dipe-D: A Tool for Knowledge-Based Query Formulation in Information Retrieval

The paper reports the development of Dipe-D, a knowledge-based procedure for the formulation of Boolean queries in information retrieval. Dipe-D creates a query in two steps: (1) the user's information need is developed interactively, while identifying the concepts of the information need, and subsequently (2) the collection of concepts identified is automatically transformed into a Boolean query. In the first step, the subject area—as represented in a knowledge base—is explored by the user. He does this by means of specifying the (concepts that meet his) information need in an artificial language and looking through the solution as provided by the computer. The specification language allows one to specify concepts by their features, both in precise terms as well as vaguely. By repeating the process of specifying the information need and exploring the resulting concepts, the user may precisely single out the concepts that describe his information need. In the second step, the program provides the designations (and variants) for the concepts identified, and connects them by appropriate operators. Dipe-D is meant to improve on existing procedures that identify the concepts less systematically, create a query manually, and then sometimes expand that query. Experiments are reported on each of the two steps; they indicate that the first step identifies only but not all the relevant concepts, and the second step performs (at least) as good as human beings do.