面向三维信道幅值预测的自适应神经网络

针对在采用massive MIMO(multiple-input multiple-output)系统的5G网络规划中,使用传统的系统级仿真方法获得信道幅值的计算量和时间开销非常大的问题,提出一种基于BP(back propagation)神经网络的自适应神经网络来预测massive MIMO系统的信道幅值.自适应神经...     

国外应用G理论进行概念图教学评估的实验研究

文章分析了Shavelson ＆ YueYin等应用G理论进行概念图评估的实验研究。首先对G理论、概念图评估、C技术、S技术进行了界定;然后,阐释了Shavelson等运用G理论对C与S概念图技术的比较实验研究。结果表明C和S在技术上是不等价的,S技术的概化系数比C技术大;若达到预期的概化系数,单次测试下S技术需要的概念效少于C技术。因此,对于大规模的终结性评估,S技术相对于C技术或许是更好的选择;而C技术则可能更适合于课堂上的形成性评估。     

一种全新的学术出版模式:开放存取出版模式探析

开放存取是一种学术信息共享的自由理念和出版机制。其产生背景主要是:基于订阅 的学术期刊传统出版模式带来了严重的学术交流障碍;网络的运用使学术期刊出版和传播成本 大大降低。近年来相关的机构和项目已出现并初步取得成效。参考文献12。     

Luminal androgen receptor (LAR) subtype of triple-negative breast cancer: molecular,morphological, and clinical features

According to the classification presented by Lehmann BD (2016), triple-negative breast cancer (TNBC) is a heterogeneous group of malignant tumors with four specific subtypes: basal-like (subtype 1 and subtype 2), mesenchymal, and luminal androgen receptor (LAR) subtypes. The basal-like subtypes of carcinomas predominate in this group, accounting for up to 80% of all cases. Despite the significantly lower proportions of mesenchymal and LAR variants in the group of breast carcinomas with a TNBC profile, such tumors are characterized by aggressive biological behavior. To this end, the LAR subtype is of particular interest, since the literature on such tumors presents different and even contradictory data concerning the disease course and prognosis. This review is devoted to the analysis of the relevant literature, reflecting the main results of studies on the molecular properties and clinical features of the disease course of LAR-type TNBC carcinomas.     

Therapeutic potential of traditional Chinese medicine for vascular endothelial growth factor

Vascular endothelial growth factor (VEGF) is the main regulator of physiological angiogenesis during embryonic development, bone growth, and reproductive function, and it also participates in a series of pathological changes. Traditional Chinese medicine (TCM), with a history of more than 2000 years, has been widely used in clinical practice, while the exploration of its mechanisms has only begun. This review summarizes the research of recent years on the influence of TCM on VEGF. It is found that many Chinese medicines and recipes have a regulatory effect on VEGF, indicating that Chinese medicine has broad prospects as a complementary and alternative therapy, providing new treatment ideas for clinical applications and the theoretical basis for research on the mechanisms of TCM.     

The evaluation of school-university partnerships that improve teaching and learning practices: A systematic review

This paper presents a systematic literature review of School-University Partnerships (SUPs) that aim to promote changes in teaching and learning practices. Our analysis focuses on the evaluation of such SUPs, throughout their development process (from Exploration to Implementation and Sustainability). Our results highlight the nonlinearity of such development processes. The evaluation of the SUPs mainly relied on qualitative approaches and occurred primarily during the Implementation phase. Furthermore, the evaluation instruments used have seldom been validated or reused within the research community. Future research can focus on the development of reliable evaluation instruments, useable throughout the lifecycle of SUPs, to guide their decision-making.     

大数据与知识图谱视角下电网企业5G技术应用热点与趋势分析

在“双碳”背景下，电网行业是5G应用试点的先导行业，5G技术也被众多的应用场景进行了应用探索。有鉴于此，采用大数据技术，从中国知网和北极星电力网等网站收集具有“5G”“电网”“供电”等关键词的词条，运用Python软件对数据进行可视化处理并生成词云图，识别出5G在电网领域的六大典型应用场景，并基于此对电网企业5G技术应用的未来趋势进行展望。研究发现：“5G+智能巡检”以及“5G+差动保护”是智能电网方面当前的研究热点；5G在电网中的应用场景主要包括智能巡检、配网差动保护、精准负荷控制、分布式电源、智能充电桩和低碳发展与碳排放计量；5G技术未来将会推动电力市场的资源共享化，并帮助电网实现动态监测和实时调控。可见，5G技术凭借大带宽、低时延、高可靠等特质成为电力行业转型升级的关键技术和手段，在通信基础设施和电网运维方面要建立“5G+”的思维模式，同时也要注意保障通信安全和保护用户隐私安全。     

江苏高校协同创新中心绩效评价研究——基于改进的G1-CRITIC-TOPSIS综合评价模型

基于改进的G1-CRITIC-TOPSIS方法构建江苏高校协同创新中心绩效评价模型和可视化系统，对2015年至2019年江苏高校协同创新中心绩效进行静态和动态分析。结果表明，与其他绩效评价模型相比，所提出的绩效评价模型可对协同创新中心的绩效进行客观有效评价；省级协同创新中心的绩效水平与国家级绩效水平差异较大；不同类型的协同创新中心绩效评价结果差异悬殊，行业产业类和区域发展类绩效评价结果显著高于文化传承类和科学前沿类。基于研究发现，提出优化协同创新中心体系建设、建立分类分层绩效评价机制、动态监测协同创新中心运行情况等建议。