三峡民间歌谣与传统民俗文化研究--以重庆市巫溪县五句子歌为例     

傅国群 《四川三峡学院学报》2014,(2):23-26

五句子歌是重庆巫溪县最具特色的标志性文艺之一,包括五句子山歌和五句子鸳鸯号子歌两部分,内容切入当地民众的生产劳动、婚姻爱情、风俗习性、生活方式等各个方面,反映了深厚的民俗学内涵。  相似文献   

适应区域产业发展的高等职业教育专业结构优化研究——以无锡市为例     

徐玮  刘文社  陶喆 《职业教育研究》2022,(2)

对无锡市高职院校、产业发展等数据进行统计分析发现:2010—2020年高职院校专业与产业结构间的协调发展系数在0.7以上,且随时间推移先增后减,表明高职教育专业结构与产业结构不协调,主要表现在专业重复设置、战略性新兴产业相关专业发展滞后、人才供需不匹配等方面。建立适应区域产业发展的高职教育专业结构,需要政府、高职院校和企业三方的协同合作。  相似文献   

关于无锡中小学教育国际化特色发展的思考     

杨启光  陈明选 《江苏教育研究》2010,(4):24-26

本文结合无锡的社会经济与文化传统,分析了无锡中小学教育国际化发展的目标与特色发展的基本路径,期望为推动我国基础教育国际化进程做出初步的探索。  相似文献   

无锡吴文化品牌旅游的开发研究     

丁婧 《苏州教育学院学报》2013,(1):65-67

随着时代的发展,旅游业正成为城市发展新的动力,而旅游的文化内涵对推动旅游业的发展也日趋重要。旅游文化资源是旅游文化产业发展的基础,是一个国家和地区从历史文化中留存下来的物质和精神遗产。无锡吴文化旅游资源具有突出的优势,完全可以将其作为城市文化旅游业的支撑,从而打造出无锡文化旅游品牌。  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   

论旅游高等职业教育与地方旅游发展态势之契合——以无锡为例     

许刚  张莺莺 《教育教学论坛》2019,(14):48-49

随着大众旅游时代的到来,旅游业进入了快速发展、转型发展的新阶段,呈现出许多新的趋势和特点。这时,旅游高等职业教育必须及时做出回应,契合地方旅游发展态势,才能跟得上旅游发展时代潮流要求,不辱旅游职业教育的使命宗旨。文章以无锡为例,从专业及课程设置、社会服务等方面阐述了旅游高等职业教育与地方旅游发展态势之契合。  相似文献   

建构扶困助学通道努力实现教育公平——无锡职业技术学院扶困助学工作实践     

房磊 《九江职业技术学院学报》2007,(4):64-65

扶困助学工作关系到学生公平、全面的发展,关系到学院的稳定和社会的安定,是一项复杂而艰巨的工程。因此,无锡职业技术学院一贯重视和加强扶困助学工作,通过开设"绿色通道"、"奖、贷、勤、减、助"、对优秀贫困生毕业时优先推荐就业等多种帮扶措施,确保每一位贫困学生不因家庭经济困难而辍学,积极有效地开展了扶困助学工作。  相似文献   

浅议无锡传统饮食与旅游开发   总被引：1，自引：0，他引：1  

王惠 《南宁职业技术学院学报》2009,14(2)

吃是人类生存的第一需要。饮食的变化发展可以反映社会文明的进化发展。江南无锡悠久的历史、丰富的物产以及商业的发展也孕育了其独特的饮食文化,促进了当地的旅游发展。  相似文献   

转型中的近代江南农家经济结构——以江苏省无锡县为中心     

汪效驷 《安徽师范大学学报(人文社会科学版)》2010,38(1):73-78

经济结构的转型是近代江南农村经济转型的一个重要方面。市场化和现代机器的侵入与一家一户的农桑结合型经营相交织构成了转型时期江南农村经济结构的特有形态;近代江南农家以稻作为主、以蚕桑为辅的生产格局并未发生根本的改变;多种经营和“非农化”是农家经济结构发展的基本趋势。  相似文献   

Soft sensor modeling with a selective updating strategy for Gaussian process regression based on probabilistic principle component analysis     

Weili Xiong  Xudong Shi 《Journal of The Franklin Institute》2018,355(12):5336-5349

Considering the deviation of the working condition and the high updating frequency of the traditional moving window methods, this paper proposes a selective strategy of moving window for the Gaussian process regression in the latent probabilistic component space. First, the probabilistic principle component analysis (PPCA) is employed to deal with the multi-dimensional issue and extract essential information of the process data. Because the latent probabilistic components are more sensitive to the deviation of the working condition in the industrial process than the original data, the regression performance is improved under the PPCA framework. Under the proposed strategy, the soft sensor is able to detect the change of the working condition, and the updating is activated only when the predicted error exceeds the preset threshold, otherwise the model is kept unchanged. Furthermore, the promotion of both predicted accuracy and efficiency can be obtained by regulating the threshold. To test the effectiveness of the proposed method, a wastewater case study is provided, and the result shows that the proposed strategy works better under the probabilistic than other conventional methods.  相似文献