我国高危险性体育项目的立法缺陷及其完善     

汪全胜  宋琳璘  张奇 《武汉体育学院学报》2020,54(6):46-53

高危险性体育项目相对一般体育项目而言，是具有危险性大、专业技术性强、安全保障要求高等特点的体育活动。我国对高危险性体育项目有一定的法律规制，但存在顶层设计缺失、法律制度之间的冲突与不一致、可操作性不足等问题。这些制度缺陷产生的根源在于对立法必要性的认识不足、立法不作为，缺乏有效的立法监督机制等，现有制度的缺陷与不足会影响我国高危险性体育项目的发展，难以满足人们体育文化活动的需要。鉴于此，我国应逐步完善高危险性体育项目的法律规制，包括完善高危险性体育项目的审定主体，明确经营高危险性体育项目的主体范围、完善高危险性体育项目的行政许可条件、强化高危险体育项目行政监管以及风险防范等。  相似文献   

论OECD成人技能评估的演变 ——从IALS到ALL再到PIAAC     

安琪 《成人教育》2018,(1):6-10

OECD从20世纪90年代起就开始对成人技能的水平进行评估,先后推出了IALS、ALL与PIAAC三大成人技能评估.历经20多年的发展,OECD进行成人技能评估的目标、内容和指标框架也不断扩展、深入和细化.通过对OECD的一系列成人技能评估进行梳理和分析,以期理解成人技能的内涵.  相似文献   

高职院校课程思政教学改革路径探析     

凌双英 《安徽职业技术学院学报》2020,(1):9-11

全国高校思想政治工作会议和全国教育大会的相继召开,进一步推动了高校思想政治教育改革,高职院校也正在从思政课程走向课程思政,促进社会主义核心价值观教育贯穿于全员、全课程、全过程。高职院校开展课程思政教学改革的有效路径是建立课程思政教育体系,加强师资队伍建设,创新教学方法与手段,增强课程思政教学评价。  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   

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis     

Kai Hu  Qing Luo  Kunlun Qi  Siluo Yang  Jin Mao  Xiaokang Fu  Jie Zheng  Huayi Wu  Ya Guo  Qibing Zhu 《Information processing & management》2019,56(4):1185-1203

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.  相似文献   

大学生精神性模型的构建及其成长需求研究     

许国动  曾琪  刘玉 《教育文化论坛》2021,(6):65-74

高等教育现代化进程中,在各个领域体现出不同的现代性.其中,人的现代性是核心,精神性是人的现代性的根源所在.根据精神性的内容,即生活世界、实践世界、意义世界3个维度,构建了大学生精神性成长需求理论模型;在量表调查基础上,通过差异性分析、探索性因素分析和回归分析发现,大学生精神性水平在性别、父母受教育程度上存在显著差异;大学生精神性模型具有较高的信效度,模型中的每个因子负荷量均达到标准.在此基础上,从大学生需求的角度提出了大学生精神性内容体系,旨在提升高校人才培养现代性追求的品质,丰富高等教育现代性的内容体系.  相似文献   

上海市黄浦区社会体育组织培育现状及转型发展研究          下载免费PDF全文

战旗  王海银  刘忠亚  孟欢欢 《体育科研》2020,(1):69-74

采用文献资料法、访谈法等,了解到上海市黄浦区政府培育社会体育组织发展的现状以及存在的问题,提出针对性的发展路径。研究表明:经过阶段性的培育,目前上海市黄浦区社会体育组织结构较完整,规模初现,功能呈现多元化,制度建设日益完善,监督评估机制雏形初显;但培育过程中存在着党建嵌入不足,培育主体较为单一,培育体制机制不完善,培育制度保障体系不健全等问题。提出培育路径:创新党建嵌入方式,实行组织党建工作制度化;搭建组织服务平台,拓宽组织准入范围;分类、分阶段针对性的培育,健全培育体制机制;完善组织制度建设,提升组织服务能力。  相似文献   

基于SWMM的地表径流量与城市下垫面和降雨特征关系的空间分析——以中国科学院大学雁栖湖校区为例     

罗英杰  张娜  李琪  王昕  景永才  乐荣武 《中国科学院大学学报》2020,37(1):27-38

以中国科学院大学雁栖湖校区为例，用城市雨洪管理模型（SWMM）模拟2016-2017年48场降雨事件中所有子汇水小区的径流过程；在验证可靠的基础上，探讨径流量空间分布与降雨和下垫面的关系，是开展防汛工作的重要基础。结果表明，径流量高值区多位于沥青小区，而低值区多位于绿地小区。沥青最易产流，绿地最不易产流。砌砖易产生中等量级的径流，混凝土较砌砖更易产流，但二者在不同降雨事件下的产流规律相似。沥青小区和砌砖小区的地表径流量均与坡度呈极显著或显著线性正相关关系。对沥青-砌砖和沥青-绿地小区，将非渗透面积比例（PIC）降至60%可明显控制其暴雨和大雨径流。要明显控制大暴雨径流，可将沥青-绿地小区的PIC降至30%以下；但降低PIC对沥青-砌砖小区大暴雨径流的控制作用不明显。研究结果可为海绵城市建设和城市内涝防洪提供理论依据和决策建议。  相似文献   

抗战时期昆明教育风习的嬗变     

高旗 《楚雄师专学报》2014,(5):87-92

在抗日战争的特定历史语境下,高文化能量集聚的大学集群,对一座边隅小城的八年濡染,形成一种具有爱国激情、奋斗精神、开放意识、文化品位的新的教育风习;而文化提升中的城市,反过来对它的居住人群又进行一种历史熏陶与文化推动,这是昆明之所以能在这一特定历史时期产生震撼历史的重大事件、后来能走出声名卓著的批量人物的历史与文化根源。  相似文献   

中央苏区时期毛泽东的民生思想探源     

何旗 《黄冈职业技术学院学报》2011,13(2):57-60

中央苏区时期毛泽东对民生问题的思考、有关论述以及践行蕴含了极为丰富的民生思想。尽管这一思想是以后才明确丰富起来的,但在中央苏区时期就显出其雏形。它的产生有着深厚的历史、理论和实践渊源：以我国传统文化中的民本思想为历史之源;以马克思主义唯物史观为理论之源;以科学总结我国革命斗争经验为实践之源。  相似文献