The Application and Effect Evaluation of Corpus Linguistics in English Teaching

This paper explores the application and effect evaluation of corpus linguistics in English teaching.It first introduces the basic concepts and development history of corpus linguistics,then analyzes its connection with language teaching theories,discussing the advantages and challenges of using corpora in language teaching.Next,it delves into the methods and technologies for building and utilizing corpora,as well as their role in developing teaching resources.Lastly,within the framework and methods of teaching effect evaluation,specific application cases of corpus linguistics in teaching design are analyzed,and their effects are assessed.Recommendations for teaching improvement and future development directions are also proposed.

Evaluations on social network analysis (SNA) research in China's Mainland:A critical assessment of journal literatures

Social network analysis(SNA) has been introduced to China's Mainland since the end of last century. It is often stated that SNA research has experienced rapid growth in China over these years, but few studies have been conducted to prove the statement. This paper aims at exploring the research status and development of SNA in China by a critical assessment of journal articles. Our findings show that SNA is an evolving and diversified research area which has rich themes and topics, and can be applied to those studies on different levels, context and disciplines, and attract researchers and scholars from various fields and domains. In addition, the information community(Library & Information Science and Information Systems) plays a leading role in the SNA related researches. The paper also points out the research on SNA in China has some limitations, so it proposes several implications for the future development of SNA research from perspectives of information science.

Study on effectiveness evaluation of weapon systems based on grey relational analysis and TOPSIS

To evaluate the effectiveness of weapon systems, the advantages and disadvantages of grey relational analysis and TOPSIS for multiattribute decision-making is pointed out, and an effectiveness evaluation model of weapon systems by combining grey relational analysis and TOPSIS is proposed. The model aggregates the grey relational grade and the distance to a new integrated closeness and reflects not only the trend but also the situation of the alternative. The example illuminates that the model is effective for the effectiveness evaluation of weapon systems.

Evaluation of social network conservation in historical areas of mountainous towns in Chongqing, China

Over recent decades,historical areas conservation has become an important strategy to improve urban competitiveness in the global economy.As shown in existing studies that the conservation of historical areas mainly focused on the physical environment,there is still room for the non-physical study,and researches on the social network conservation in mountainous historical areas are particularly insufficient.Therefore,this paper aims to establish an evaluation system which is helpful for the social network conservation of historical areas.The evaluation system is based on social network analysis and the information of social relationships gathered in field surveys using a specifically designed questionnaire method in four mountainous towns in Chongqing,China.And it was analyzed from three perspectives,i.e.,by the basic statistical properties,condensate subgroup,and centrality.Then five analysis indicators were conceived,including density,lambda set,k-core,degree centrality,and betweenness centrality.The analysis results demonstrate that the social networks of the four towns show different indicators,which are respectively relevant to completeness degree,edgerelatedness level,local stability,structural balance,and concentrated trend of social relationships.Results from SNA modeling indicate that neighborhood residents of historical areas who have more stable and healthier social relationships are relatively not easily be destroyed.The results also illustrate that the social networks structure is influenced by the terrain,form,and function of historical areas,and the change of historical areas is caused by"individual-family-society".Finally,the strategies guiding the social network conservation are put forward from two aspects.These findings suggest that the conservation and management of social network and aborigines in historical areas should be emphasized to increase the collective benefits and vitality.

Research on the effect estimation of seismic safety evaluation

Seismic safety evaluation is a basic work for determining the seismic resistance requirements of major construc-tion projects. The effect, especially the economic effect of the seismic safety evaluation has been generally con-cerned. The paper gives a model for estimating the effect of seismic safety evaluation and calculates roughly the economic effect of seismic safety evaluation with some examples.

The Influence Evaluation of Tourism on Chinese Rural People Living in Minority Areas

In this paper, through understanding the basic situation of three villages at different stages of life cycle development about tourism, using the method of grey correlation analysis from the quantitative aspects, the results show that impact assessment on rural tourism in different stages is different [1]. The impact on tourism stable stage is the most;tourism decline stage is relatively weak;tourism development stage is the weakest.

System failure analysis based on DEMATEL–ISM and FMECA

A new method of system failure analysis was proposed. First, considering the relationships between the failure subsystems,the decision making trial and evaluation laboratory(DEMATEL) method was used to calculate the degree of correlation between the failure subsystems, analyze the combined effect of related failures, and obtain the degree of correlation by using the directed graph and matrix operations. Then, the interpretative structural modeling(ISM) method was combined to intuitively show the logical relationship of many failure subsystems and their influences on each other by using multilevel hierarchical structure model and obtaining the critical subsystems. Finally, failure mode effects and criticality analysis(FMECA) was used to perform a qualitative hazard analysis of critical subsystems, determine the critical failure mode, and clarify the direction of reliability improvement.Through an example, the result demonstrates that the proposed method can be efficiently applied to system failure analysis problems.

Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

数字政府建设成效测度与评价:理论、方法与应用

数字政府建设日益受到重视,但其建设成效有待评价和改进。文章围绕数字政府建设成效测度与评价问题展开研究,探讨如何构建理论模型、发展评估方法并加以应用。在综述已有文献基础上,提炼数字政府建设成效评价的理论框架,提出从人民高品质生活、企业高质量发展、政府高效能治理的“三高”视角进行评价,并讨论开展课题研究的思路与方法、重点难点和创新之处,以及本课题要实现的预期目标。

基于FAST和Sobol指数法的雷达系统效能敏感性分析

为了以较小的代价快速提升对空探测雷达系统的综合效能,首先搭建了对空探测雷达系统综合效能的评估指标体系,在此基础上完成了综合效能评估模型的建立。选择两种基于方差原理的全局敏感性分析方法,即傅里叶幅度敏感性测试(Fourier amplitudes sensitivity test,FAST)和Sobol指数法,分别从频域和时域对建立的评估模型进行敏感性分析。在基于FAST进行敏感性分析时,提出了21维输入指标所对应的特征频率集的选取方法;在基于Sobol指数法进行敏感性分析时,考虑了二阶及高阶敏感性指数的影响。对比FAST和Sobol指数法的分析结果,两种方法获得的敏感性分析结果具有较好的一致性。其中,功率和频率为对空探测雷达系统的主要影响指标,为雷达系统的研发和升级提供了可靠性依据。

基于柯氏模式的药物分析在线学习效果评估

基于柯氏模式构建反应层、学习层、行为层、结果层4个层级在线学习效果评估模式,在药物分析在线课程教学中进行实践。通过对4个层级的数据进行分析,给予药物分析在线课程建设和提升学生在线学习效果的反馈性意见,为进一步改进职业人才培养模式、调整教学策略提供建议,达到以评促建、以评促学的目的。

可持续生计视角下水库移民后期帮扶效果评估研究

基于广西岩滩水电移民的调研数据,运用组合赋权法、Topsis模型对由3种能力构成的可持续生计进行量化,并采用方差分析探讨后期帮扶及其具体措施对移民户整体和3种类型移民户可持续生计的影响,以此来评价帮扶效果。结果表明:移民户可持续生计整体处于中等偏下的水平,且非贫困户、一般脱贫户和低保脱贫户可持续生计水平依次降低;综合帮扶对整体移民户可持续生计的提升显著,具体措施是否参与对不同移民户可持续生计的作用不同,其中教育培训对3种类型移民户提升可持续生计均显著;参与帮扶措施多寡对非贫困户和低保脱贫户可持续生计的影响显著,但对一般脱贫户影响不显著。拓展了移民后期帮扶效果评估领域的研究方法,可以为精准高效推进移民扶持提供依据。

成渝经济圈铁路客运网络结构特征演变及网络效应研究

分析成渝经济圈铁路客运网络的空间联系和结构特征演变对未来铁路网络建设和布局优化有着重要意义。基于46863617条铁路客运数据构建2015—2017年成渝经济圈铁路客运网络,采用GIS空间分析方法和网络分析方法对连续时序下铁路客运联系时空演变、网络结构特征演变以及网络结构对经济和人口的影响效应展开分析。结果表明,成渝经济圈铁路客运联系极化现象明显,客运流量主要集中在成都,其次是绵阳、重庆主城区和德阳,其余城市占据不到20%的客运流量;成渝经济圈铁路客运网络密度逐年上升,但仍处在较低水平;铁路客运网络具有较低的平均路径长度和较高的平均聚类系数,客运网路呈现小世界特性;成都和重庆主城区的度数中心性和中间中心性远超其余城市;成渝经济圈铁路客运的通达性很大程度上是由于成都和重庆主城区的中介作用,大多数城市之间不存在铁路客运联系;度数中心性、接近中心性和中间中心性对GDP的影响为正,且通过了1%的显著性水平检验;度数中心性和中间中心性对人口的影响为负,分别通过了5%、10%的显著性水平检验,处于中心地位的城市不利于人口常住。

社会网络分析视角下的工业遗产空间改造策略——以三邻桥社区中心项目为例

随着城市扩张速度的减慢,城市工业遗产的改造成为了一个新的研究方向,对工业遗产建筑现有空间进行合理再利用是改造项目中的一大要点。工业建筑改造过程中存在功能布局、空间可达性、空间序列多样性三个客观问题亟需解决,以上海三邻桥社区中心改造项目为例,使用社会网络分析法对三邻桥厂区空间的相关指标进行分析,提出针对性的优化策略。通过对改造后的空间重新构建空间网络模型再次分析验证了厂区的空间结构得到优化。利用社会网络分析法为将工业遗产建筑改造为公共建筑提出了空间方面的策略,可以为类似的项目提供参考。

基于网状Meta分析对8个经典名方治疗不稳定型心绞痛的临床疗效评价

目的:运用网状Meta分析方法系统评价8种经典名方联合西医常规治疗不稳定型心绞痛(UAP)的临床疗效,并分别进一步比较不同经典名方治疗实证和虚证(包括虚实夹杂)2大证型的疗效。方法:检索并筛选中文科技期刊数据库(CCD)、中国生物医学文献数据库(CBM)、中国国家知识基础设施数据库(CNKI)与中国学术期刊数据库(CSPD)等数据库中关于8个经典名方(血府逐瘀汤、补阳还五汤、四妙勇安汤、丹参饮、炙甘草汤、枳实薤白桂枝汤、瓜蒌薤白半夏汤、化痰祛瘀通脉汤)联合西医常规治疗UAP的随机对照试验(RCT),检索时限从各数据库建库至2022年1月14日,采用Stata 16.0软件进行网状Meta分析。结果:共纳入60个RCT,总计5088例UAP患者,涉及9种干预措施。其中,UAP属实证的有41个RCT,UAP患者共3432例,涉及5种干预措施;虚证或虚实夹杂共13个,共1130例患者,涉及4种干预措施。网状Meta分析结果提示,枳实薤白桂枝汤+西医常规治疗总有效率最优,UAP属实证者,四妙勇安汤+西医常规治疗最佳;虚证或虚实夹杂者,补阳还五汤+西医常规治疗最佳;心电图改善方面,四妙勇安汤疗效最佳;枳实薤白桂枝汤+西医常规在降低超敏C反应蛋白(hs-CRP)改善炎症反应方面更优。结论:与西医常规治疗UAP比较,枳实薤白桂枝汤联合西药常规治疗疗效较显著。但仍需要纳入更多高质量的RCT证实。

海战场环境下反舰导弹效能评估方法研究

对海打击是海上编队最为重要的作战样式之一,开展武器装备作战效能评估方法研究,科学评估其作战能力,是装备列装定型的必要条件。基于作战能力评估的复杂性,在系统分析以往效能评估方法和步骤基础上,建立了武器装备不同类型指标的归一化模型和关键作战能力评估模型,可为靶场开展作战效能评估提供重要理论参考,为部队作战使用提供支撑和帮助。