贫困地区师资专题培训模式及创新实践     

吴斌  范太华  高庆元  赵辉 《继续教育研究》2021,(12):29-32

教育扶贫是国家赋予高校的社会职责,提升贫困地区职业教育和基础教育办学水平是实现高质量教育扶贫的最有效方式.根据贫困地区教育相对薄弱的实际,应以职业教育和基础教育师资专题培训项目为载体,以高校优质教育资源和人才培养优势为依托,针对当地师资队伍学历提升、教学能力、信息化素养、办学水平等具体情况,科学设计培训方案、创新培训模式,精准施策,提高整体教育质量,实现教育扶贫,主动作为脱贫攻坚、乡村振兴等国家战略.  相似文献   

差异性一体化:欧洲一体化研究的新进展     

陈洁 《教学与研究》2021,(9):100-112

差异性一体化研究已经成为欧洲一体化研究的一个热门课题.本文通过梳理国外已有的研究成果,发现差异性一体化研究始于20世纪80年代,此后相关研究逐渐增加并在近年步入兴盛.差异性一体化研究的兴起有着深刻的历史背景与学理背景,即差异性一体化在欧盟法律中逐渐制度化;差异性一体化政策实践不断增加;传统欧洲一体化理论对一体化中新问题的解释力不足.差异性一体化研究带来了欧洲一体化研究思路的转变,并为处于动态发展中的一体化进程提出了新的研究议题.然而,差异性一体化研究作为一个新兴研究领域,仍然处于发展完善阶段,表现为学术界对核心概念的界定存在分歧以及理论研究相对滞后.  相似文献   

不同负荷运动训练对大鼠骨骼肌线粒体三羧酸循环的影响及其机制研究     

李洁  杨静  赵丽丽 《武汉体育学院学报》2019,53(5):88-94

目的：探讨不同负荷运动训练对大鼠骨骼肌线粒体三羧酸循环的影响及其机制。方法：将雄性Wistar大鼠50只随机均分为5组：安静对照组（C）、低负荷运动训练组（LT）、中等负荷运动训练组（MT）、高负荷运动训练组（HT）和极高负荷运动训练组（ST），每组10只。各运动组分别进行6周的跑台运动训练。训练方案结束后，取腓肠肌样本，提取线粒体，测定线粒体柠檬酸合成酶（CS）、异柠檬酸脱氢酶（ICD）和α-酮戊二酸脱氢酶（α-KGDHC）活性；线粒体Ga²⁺含量、胞浆NADH、NAD⁺、ATP和ADP含量，以及ICD mRNA转录水平。结果：（1）不同负荷运动训练组线粒体CS、ICD和α-KGDHC的活性均显著高于安静对照组（P < 0.01），且CS和ICD活性由高到低顺序均为：MT组 > HT组 > ST组 > LT组 > C组，α-KGDHC活性由高到低顺序为：HT组 > MT组 > ST组 > LT组 > C组。（2）不同负荷运动训练组线粒体Ca²⁺ 含量均显著高于安静对照组（P < 0.01），其含量由高到低顺序为：MT组 > HT组 > ST组 > LT组 > C组；胞浆NADH/NAD⁺和ATP/ADP的比值均显著低于安静对照组（P < 0.01），其比值由低到高顺序为：MT组 < ST组 < HT组 < LT组 < C组。（3）不同负荷运动训练组ICD mRNA转录水平均高于安静对照组（P < 0.01），其水平由高到低顺序为： MT组 > HT组 > ST组 > LT组 > C组。结论：低负荷、中等负荷、高负荷及极高负荷运动训练均可提高大鼠骨骼肌线粒体三羧酸循环功能，且中等负荷运动训练效果最佳。其机制与胞浆NADH/NAD⁺和ATP/ADP比值、线粒体摄钙能力及限速酶基因的表达有关。  相似文献   

Increased foot-stretcher height improves rowing performance: evidence from biomechanical perspectives on water     

Yang Liu  Binghong Gao  Jiru Li  Zuchang Ma  Yining Sun 《Sports biomechanics / International Society of Biomechanics in Sports》2020,19(2):168-179

Abstract

The aim of this study was to investigate whether changes on foot-stretcher height were associated with characteristics of better rowing performance. Ten male rowers performed a 200 m rowing trial at their racing rate at each of three foot-stretcher heights. A single scull was equipped with an accelerometer to collect boat acceleration, an impeller with embedded magnets to collect boat speed, specially designed gate sensors to collect gate force and angle, and a compact string potentiometer to collect leg drive length. All sensor signals were sampled at 50 Hz. A one-way repeated measures ANOVA showed that raising foot-stretcher position had a significant reduction on total gate angle and leg drive length. However, a raised foot-stretcher position had a deeper negative peak of boat acceleration at the catch, a lower boat fluctuation, a faster leg drive speed, a larger gate force for the port and starboard side separately. This could be attributed to the optimisation of the magnitude and direction of the foot force with a raised foot-stretcher position. Although there was a significant negative influence of a raised foot-stretcher position on two kinematic variables, biomechanical evidence suggested that a raised foot-stretcher position could contribute to the improvement of rowing performance.  相似文献   

Application of network meta-analysis in the field of physical activity and health promotion     

Xiwen Su  Daniel J. McDonough  Haitao Chu  Minghui Quan  Zan Gao 《运动与健康科学(英文)》2020,9(6):511-520

Continued advancement in the field of physical activity and health promotion relies heavily on the synthesis of rigorous scientific evidence. As such, systematic reviews and meta-analyses of randomized controlled trials have led to a better understanding of which intervention strategies are superior (i.e., produce the greatest effects) in physical activity-based health behavior change interventions. Indeed, standard meta-analytic approaches have allowed researchers in the field to synthesize relevant experimental evidence using pairwise procedures that produce reliable estimates of the homogeneity, magnitude, and potential biases in the observed effects. However, pairwise meta-analytic procedures are only capable to discerning differences in effects between a select intervention strategy and a select comparison or control condition. In order to maximize the impact of physical activity interventions on health-related outcomes, it is necessary to establish evidence concerning the comparative efficacy of all relevant physical activity intervention strategies. The development of network meta-analysis (NMA)—most commonly used in medical-based clinical trials—has allowed for the quantification of indirect comparisons, even in the absence of direct, head-to-head trials. Thus, it stands to reason that NMA can be applied in physical activity and health promotion research to identify the best intervention strategies. Given that this analysis technique is novel and largely unexplored in the field of physical activity and health promotion, care must be taken in its application to ensure reliable estimates and discernment of the effect sizes among interventions. Therefore, the purpose of this review is to comment on the potential application and importance of NMA in the field of physical activity and health promotion, describe how to properly and effectively apply this technique, and suggest important considerations for its appropriate application in this field. In this paper, overviews of the foundations of NMA and commonly used approaches for conducting NMA are provided, followed by assumptions related to NMA, opportunities and challenges in NMA, and a step-by-step example of developing and conducting an NMA.  相似文献   

六化协同——构建高校阅读推广新动能     

刘杰  沈欣竹 《图书馆界》2020,(1):6-9

分析了新形势下高校图书馆阅读推广工作的突出问题,基于信息社会情境下图书馆转型与大学生读者的阅读困境,提出从高校行政强化、文献活化、社团孵化、媒体泛化、空间优化、艺术涵化等六个层面构建阅读推广新动能,促进高校图书馆转型发展。  相似文献   

数据时代图书馆服务发展方向   总被引：2，自引：0，他引：2  

毕强  李洁 《图书情报工作》2019,63(1):18-22

[目的/意义]大数据开启了图书馆服务的一次重大时代转型，在这样的新环境下，应该对图书馆服务发展模式衍变有新的理解，在服务方式、内容与机制等多方面进行思考，用大数据的思维看待图书馆服务的变革。[方法/过程]依据大量的文献和事实，从图书馆服务功能的角度，对图书馆服务发展模式演进过程进行综合性分析，论证图书馆服务发展模式衍变的内在逻辑与外在基础。[结果/结论]根据新业态的产生路径，提出数据时代图书馆服务发展的两种新业态：基于数据挖掘的知识发现服务新业态和基于数据融合的创新性应用服务新业态。  相似文献   

Statistical learning for OCR error correction     

Jie Mei  Aminul Islam  Abidalrahman Moh’d  Yajing Wu  Evangelos Milios 《Information processing & management》2018,54(6):874-887

Modern OCR engines incorporate some form of error correction, typically based on dictionaries. However, there are still residual errors that decrease performance of natural language processing algorithms applied to OCR text. In this paper, we present a statistical learning model for post-processing OCR errors, either in a fully automatic manner or followed by minimal user interaction to further reduce error rate. Our model employs web-scale corpora and integrates a rich set of linguistic features. Through an interdependent learning pipeline, our model produces and continuously refines the error detection and suggestion of candidate corrections. Evaluated on a historical biology book with complex error patterns, our model outperforms various baseline methods in the automatic mode and shows an even greater advantage when involving minimal user interaction. Quantitative analysis of each computational step further suggests that our proposed model is well-suited for handling volatile and complex OCR error patterns, which are beyond the capabilities of error correction incorporated in OCR engines.  相似文献   

唐诗知识图谱的构建及其智能知识服务设计   总被引：2，自引：0，他引：2  

周莉娜  洪亮  高子阳 《图书情报工作》2019,63(2):24-33

[目的/意义]立足于当前大数据环境下的唐诗知识服务需求，以大规模唐诗数据为基础构建唐诗知识图谱并提供智能知识服务，推动人工智能环境下唐诗知识管理和知识服务方式的创新。[方法/过程]本文在对领域知识服务需求调研的基础上，设计领域知识服务驱动的唐诗本体模型，然后利用从Web上爬取的多源异构数据，采用知识抽取、知识融合、知识推理等技术自动构建唐诗知识图谱，统一表示和组织唐诗领域数据，实现对大规模唐诗数据的语义化处理。[结果/结论]本文设计基于唐诗知识图谱的智能知识服务平台KnowPoetry，提供唐诗领域的知识探索、时空轨迹、语义查询等智能化知识服务，推动人工智能环境下唐诗数字人文研究方法的创新转型。  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