被子植物精细胞分离和特性研究进展     

朱维红  张妍  崔彬彬 《保定学院学报》2020,(3):114-121

精细胞分离是研究雄性生殖发育的前提之一,近半个世纪以来,人们运用不断更新的生物实验技术,对被子植物精细胞开展了分离及细胞分子特征的研究。分析被子植物精细胞分离方法,总结精细胞二型性与倾向性、细胞融合方面的研究成果,并对其研究意义和前景进行讨论。  相似文献   

Organizational justice and management trustworthiness during organizational Change: Interactions of Benevolence,Integrity, and managerial approaches     

Yu Cui  Hao Jiao 《Information processing & management》2019,56(4):1526-1542

Trust and justice play an important role in the process of organizational change to build dynamic capabilities for sustainable competitive advantage. This study investigated the interaction effects of management's benevolence trustworthiness and integrity trustworthiness on employees’ perception of procedural justice during innovation or organizational change. Both the scenario and the field study showed that the patterns of the interaction effects of these two components of trustworthiness are further influenced in a complementary manner by different innovation approaches. The study indicated that the relationships between benevolence trustworthiness and integrity trustworthiness are far more complex than expected and thus need more research efforts.  相似文献   

时间使用流行病学在身体活动研究领域的应用     

宋俊辰  李红娟  王政淞 《体育科学》2020,(1):79-88

身体活动与健康促进是公共卫生及运动科学领域研究的重点方向之一。个体一日24 h由睡眠、久坐及各种强度的身体活动组成,已有研究多从单一维度探讨这些行为对健康的影响,忽视了身体活动、久坐、睡眠等行为之间的内在联系及对健康结果的综合影响,可能使相应行为与健康效应间的关联产生偏差。时间使用流行病学研究方法的引入克服了这一不足。以“时间分配”作为切入点,综述国际学术界关于身体活动、久坐和睡眠行为对健康影响的研究现状,并系统阐述了等时替代研究方法、活动-平衡模型、时间使用流行病学的发展及其研究框架。基于此,展望了时间使用流行病学相关理论在身体活动研究领域的应用前景:1、开发新式测量工具并完善数据收集和分析方法;2、建立有关时间使用模式的综合评价体系;3、制订我国大众人群的活动-平衡时间分配推荐指南方案。  相似文献   

Ancient Mural Classification Method Based on Improved AlexNet Network     

Jianfang Cao  Hongyan Cui  Qi Zhang  Zibang Zhang 《文物保护研究》2020,65(7):411-423

ABSTRACT

As an important part of art and culture, ancient murals depict a variety of different artistic images, and these individual images have important research value. For research purposes, it is often important to first determine the type of objects represented in a painting. However, the mural painting environment makes datasets difficult to collect, and long-term exposure leads to underlying features that are not distinct, which makes this task challenging. This study proposes a convolutional neural network model based on the classic AlexNet network model and combines it with feature fusion to automatically classify ancient mural images. Due to the lack of large-scale mural datasets, the model first expands the dataset by applying image enhancement algorithms such as scaling, brightness conversion, noise addition, and flipping; then, it extracts the underlying features (such as fresco edges) shared by the first stage of a dual channel structure. Subsequently, a second-stage deep abstraction is conducted on the features extracted by the first stage using a two-channel network, each of which has a different structure. The obtained characteristics from both channels are merged, and a loss function is constructed to obtain the classification result. This approach improves the model's robustness and feature expression ability. The model achieves an accuracy of 84.24%, a recall rate of 84.15%, and an F1-measure of 84.13% when applied to a constructed mural image dataset. Compared with the AlexNet model and other improved convolutional neural network models, the proposed model improves each evaluation index by approximately 5%, verifying the rationality and effectiveness of the model for automatic mural image classification. The mural classification model proposed in this paper comprehensively considers the influences of network width and depth and can extract rich details from mural images from multiple local channels. An effective classification method could help researchers manage and protect mural images in an orderly fashion and quickly and effectively search for target images in a digital mural library based on a specified image category, aiding mural condition monitoring and restoration efforts as well as archaeological and art historical research.  相似文献   

基于粗集的支持向量机文本分类方法研究   总被引：1，自引：0，他引：1  

崔彩霞  王素格 《科技广场》2006,(8):4-6

本文提出了一种基于粗糙集的支持向量机文本分类方法。该方法利用粗糙集的约简理论降低了支持向量的维数,同时保证了分类性能。实验表明该方法能获得较好的分类效果。  相似文献   

企业信息化环境多种分类模型的理论研究     

崔俊凯  杨曦  王海茸 《情报杂志》2007,26(4):99-101

从多个角度对企业信息化环境进行了分类，并通过模型进行了描述和分析，为企业信息化所处的环境描绘了清晰的轮廓，为正确制定信息化策略提供客观的依据。  相似文献   

对完善民间组织政策法规体系建设的思考   总被引：1，自引：0，他引：1  

崔立群 《学会》2007,(9):23-25

<正>随着社会的不断发展,民间组织面临的社会环境也在不断变化,民间组织与政府之间、与企事业单位之间、与国外民间组织之间需要运用法律手段进行调整的关系较以前更为复杂。民间组织政策法规制度体系也要不断完善和创新。如何完善和创  相似文献   

浅析我国地理标志(原产地名称)的保护方式   总被引：1，自引：0，他引：1  

崔建军 《西藏科技》2006,(10):13-15

地理标志是TRIPs协议中所规定的重要一项内容。本文首先介绍了国际上对地理标志保护的常规方式，同时分析了地理标志保护在我国的发展历程和现状，指出由于多个部门同时在对地理标志进行管理，造成了一定的混乱并增加了社会成本，并比较了现有几种管理方式的利弊。在此基础上，本文探讨性地提出了我国对地理标志保护的几种方式。  相似文献   

国产葱属合被组植物的核型及亲缘关系研究     

李汝娟  尚宗燕  崔铁成  许介眉 《中国科学院研究生院学报》1996,34(3):288-295

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技术创新过程中的风险分析     

崔利荣 《科研管理》2004,25(Z1):85-87

本文通过对技术创新过程的分析,指出了影响技术创新的因素,从而给出了技术创新的过程中的风险集合.在此基础上对风险进行了分析,指出了技术创新的风险的时间性、地域性、行业性等问题.  相似文献