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   

竞技武术套路科学化训练现状研究     

荣磊  王志辉 《中华武术(研究)》2020,(1):121-123

随着国家对武术发展的大力支持,近几年竞技武术赛事增多,对运动员提出了更高的要求。本文通过文献资料法、逻辑分析法、观察法等研究方法,从竞技武术套路训练现状的角度入手,分析了当今中国竞技武术套路训练现状,新规则对竞技武术套路及运动员的影响,并在此基础上提出了对策:加强竞技武术套路运动科学化训练,加强武术训练与科研的合作。  相似文献   

民族传统体育文化面临的安全威胁及其应对策略分析     

苏荣 《体育科技文献通报》2020,(5):127-127,142

文化激进主义、西方体育文化的强势进入以及我国文化发展动力的不足是我国体育文化发展面临的问题,这些问题都是我国民族传统体育文化所面临的安全威胁。为了更好地解决这些问题可以采用的方式包括加大对文化的宣传,提升文化保护意识,积极地调整文化发展的策略,积极地完善相应地文化保护政策,转化文化发展模式,这样就能够更好地加强民族传统体育文化的保护,提升其文化创作的活力,以此来更好地促进民族传统体育产业的发展。  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   

液滴撞击凹凸槽道表面液膜的动态演变     

周鑫  王宏  朱恂  陈蓉  廖强  丁玉栋 《中国科学院大学学报》2020,37(2):255-262

为研究固体表面结构对液滴撞击液膜后演变行为的影响规律，采用CLSVOF方法模拟液滴撞击不同尺寸槽道上的表面液膜的流动过程，获得不同槽道高度和宽度时液滴撞击液膜后的演变行为，探索撞击速度、液膜黏度和表面张力对撞击后液膜铺展行为、水花飞溅高度和二次液滴形成的影响。结果表明，槽道结构对液滴撞击液膜后的动态行为具有显著影响，随着槽道高度的增加，冠状水花厚度越薄，越容易产生二次液滴；随着液膜黏度的增大，则抑制冠状水花形成与二次液滴的产生；液膜表面张力减小时，射流更加明显，二次液滴数更多，飞溅现象提前，冠状水花消失时间延后。  相似文献   

浅析体育课堂中体现的文化现象--以十城市视频观测为例     

王容 《体育科技文献通报》2020,(6):137-138,140

本文主要通过观看现场录制的十城市体育赛课视频,对最具代表性的体育课所体现出的体育文化现象进行分析,对比中西方体育文化的差异,探寻在体育全球化的趋势下如何弘扬中华传统文化的秘钥。  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   

风险投资初期阶段的实物期权安排     

高蓉 《科技管理研究》2007,27(6):179-181

将实物期权的理论和方法用于初期阶段风险投资的合约安排,控制风险资本家的风险,激励和监管风险企业家,帮助风险企业实现初期投资目标,达到风险资本家和风险企业家的双赢。同时,分析风险资本家在其投资的风险企业数量和后续管理服务质量之间建立的均衡以及风险企业家在其创业努力的投入和收益之间形成的均衡。最后提出风险企业家在实物期权的激励下如何提高了原来的风险企业产量。  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