深度学习在中学化学教学中的研究进展——基于CiteSpace的可视化分析

为把握“深度学习”在中学化学领域的研究现状、研究趋势和前沿,选取2013—2023年CNKI数据库中有关深度学习的1008篇文献,运用文献计量法对深度学习在中学化学教学中的研究进展进行可视化分析。结果表明:该研究领域的重点主要是“促进化学深度学习的重要性、发生机制研究”“核心素养背景下化学深度学习的教学设计研究”和“中学化学教学中实现深度学习的路径研究”;研究演进过程可分为2013—2016年的萌芽期、2017—2020年的发展期和2021—2023年的平稳期;该领域未来研究的发展方向主要集中在“问题驱动”“化学史”和“评价”三个方面。

国内隐喻能力研究热点话题和发展路径耙梳——基于CNKI核心期刊文献(1997-2017)的共词可视化分析

依据文献计量法及数据可视化分析方法,运用可视化数据分析软件,对我国隐喻能力研究现状进行量化分析。以中国学术网络出版总库CNKI中CSSCI和核心期刊文献为数据来源,以“隐喻能力”为主题检索词,从发表时间、发文期刊、第一作者、高频关键词等维度出发,探究我国隐喻能力研究路径和热点话题,归纳总结研究成果,并尝试指出未来隐喻能力研究的发展方向。

基于Citespace知识图谱分析的中国现代建筑创作研究综述

随着科技水平不断提高以及围绕人本设计理念的深化,中国现代建筑创作有了多样化的发展,在经济社会转型期适时总结已有研究,具有承上启下的关键作用。根据CNKI数据库中收录的有关于现代建筑创作的812篇期刊文献,利用Citespace软件以知识图谱为导向,可视化分析中国现代建筑创作的演进脉络和研究热点,借此研究进一步分析具体内容,以形成系统的认知应对当前不断变化的社会价值观对于现代建筑创作的影响。

睡眠过程中交感和副交感拮抗活动的初步分析

目的探讨睡眠过程中交感和副交感神经功能的拮抗关系。方法对10名健康年轻大学生(男性7名,女性3名,年龄19-23岁)使用Holter,L,电图仪进行连续心电监测,将所获R-R间隔的时间序列资料以10分钟为一个单位进行分隔,利用粗视化频谱分析技术(Coarse Graining Spectral Analysis,CGSA)分析SNS和PNS拮抗活动的趋势。结果进入睡眠期后SNS活动明显下降,而PNS活动明显增强,觉醒后交替。且每个单位的PNS和SNS值呈反比例函数关系。结论睡眠过程中交感和副交感神经功能存在相互拮抗的关系,此消彼长。

基于cites pace的我国学前融合教育研究现状与发展趋势

新世纪以来,学前融合教育在基础教育中有着重要价值,且逐渐成为各界学者的研究热点话题。为进一步探索学前融合教育的规范化路径及研究热点本文运用 citespace6.2 R2 版本进行可视化分析,对 2006 年至 2022 年间与我国学前融合教育相关的 206 篇期刊文献进行量化分析。经研究发现:我国学前融合教育随着国家政策的提出,关注度不断提高但仍存在着些许问题:研究机构地域发展不均衡,合作性不强、研究主体较多关注教师,在幼儿与家长方面关注较少、研究方法较为单一,对学前融合教育发展的建构性不强。本研究凸显前人研究动向,把握研究内容走向,提出合理建议,为不断丰富我国学前融合教育发展提供一点参考。

Total plant performance evaluation based on big data: Visualization analysis of TE process

The performance evaluation of the process industry, which has been a popular topic nowadays, can not only find the weakness and verify the resilience and reliability of the process, but also provide some suggestions to improve the process benefits and efficiency. Nevertheless, the performance assessment principally concentrates upon some parts of the entire system at present, for example the controller assessment. Although some researches focus on the whole process, they aim at discovering the relationships between profit, society, policies and so forth, instead of relations between overall performance and some manipulated variables, that is, the total plant performance. According to the big data of different performance statuses, this paper proposes a hierarchical framework to select some structured logic rules from monitored variables to estimate the current state of the process. The variables related to safety and profits are regarded as key factors to performance evaluation. To better monitor the process state and observe the performance variation trend of the process, a classificationvisualization method based on kernel principal component analysis(KPCA) and self-organizing map(SOM) is established. The dimensions of big data produced by the process are first reduced by KPCA and then the processed data will be mapped into a two-dimensional grid chart by SOM to evaluate the performance status. The monitoring method is applied to the Tennessee Eastman process. Monitoring results indicate that off-line and on-line performance status can be well detected in a two-dimensional diagram.

Sentiment classification model for bullet screen based on self-attention mechanism

With the development of short video industry,video and bullet screen have become important ways to spread public opinions.Public attitudes can be timely obtained through emotional analysis on bullet screen,which can also reduce difficulties in management of online public opinions.A convolutional neural network model based on multi-head attention is proposed to solve the problem of how to effectively model relations among words and identify key words in emotion classification tasks with short text contents and lack of complete context information.Firstly,encode word positions so that order information of input sequences can be used by the model.Secondly,use a multi-head attention mechanism to obtain semantic expressions in different subspaces,effectively capture internal relevance and enhance dependent relationships among words,as well as highlight emotional weights of key emotional words.Then a dilated convolution is used to increase the receptive field and extract more features.On this basis,the above multi-attention mechanism is combined with a convolutional neural network to model and analyze the seven emotional categories of bullet screens.Testing from perspectives of model and dataset,experimental results can validate effectiveness of our approach.Finally,emotions of bullet screens are visualized to provide data supports for hot event controls and other fields.

Visualization analysis of the research status of FU Qingzhu’s Obstetrics and Gynecology based on bibliometrics

Objective This study examined the research status and development process of FU Qingzhu’s Obstetrics and Gynecology(Fu Qing Zhu Nv Ke,《傅青主女科》,FQZNK)in the past 40 years with bibliometrics and visual analysis.Methods Retrieved all related literature in the research field of FQZNK from the domestic and foreign databases:China National Knowledge Infrastructure(CNKI),China Science and Technology Journal Database(VIP),Wanfang Database,and Web of Science(WOS)core database,including Science Citation Index Expanded(SCIE),Social Sciences Citation Index(SSCI),and Arts&Humanities Citation Index(A&HCI).The search range was from January 1,1980 to March 10,2021.In addition,bibliometrics and CiteSpace 5.7.R2 software were used to analyze literature types,published journals,cited literature,the number of author publica-tions,co-author networks,co-institution networks,keyword co-occurrence networks,keyword clusters,and keyword bursts.Results A total of 678 valid records were included in the final dataset.Literature types,high publication journals,highly cited literature,high-yield institutions,high-yield research teams,and high-productivity scholars in this research field were found through bibliometrics.Liter-ature types can be divided into four categories,among which 451 are theoretical studies on academic thoughts of FQZNK,accounting for 66.5%of the included journals.The Journal of Shanxi Traditional Chinese Medicine had the largest volume of published articles(61),ac-counting for 9.0%of the total number of the included journals.The most cited literature was ZHOU Mingxin’s article“Using the quantitative method to discuss author’s authenticity and formula characteristics of FU Qingzhu’s Obstetrics and Gynecology”,which was cited 94 times.Hunan University of Chinese Medicine,the institution with the most publications,published 45 articles,and YOU Zhaoling,the most published author,published 33 articles.Moreover,it was found that most high-yield researchers came from high-yield institutions and that Hun-an University of Chinese Medicine had the most research on FQZNK.Keyword co-occur-rence analysis revealed that the keyword“FQZNK”had the highest frequency(597 times)and the highest centrality(1.00).Keyword cluster analysis used the Log-Likelihood Ratio(LLR)al-gorithm to form eleven important clusters:#0 treatment aiming at its root causes,#1 gynecopathy,#2 Siwu Decoction(四物汤),#3 FU Qingzhu,#4 post-partum,#5 infertility,#6 dysmenorrhea,#7 sterility,#8 coordinate the heart and kidney,#9 Danggui Buxue Decoction(当归补血汤),and#10 treatment.It was found that the prescriptions of FQZNK were studied mainly before 2000,the theoretical studies were mainly conducted before 2010,and its clinic-al application was mainly explored from 2010 until now.Diseases such as dysmenorrhea,morbid vaginal discharge,infertility,metrorrhagia,and polycystic ovarian syndrome(PCOS)have recently become popular topics in this field.Conclusion The current study provides more scientific,accurate,and comprehensive sci-entific support for further research and development of traditional Chinese medicine(TCM)in FQZNK.With this foundation,people can use burst detection to ascertain the current hot-spots in research,get their development trends,and forecast future research directions.In ad-dition,infertility,morbid vaginal discharge,flooding,and PCOS treatments based on TCM syndrome differentiation are currently popular research topics for FQZNK.

Visual analysis of research hotspots and trends in the treatment of immune thrombocytopenia with traditional Chinese medicine

Objective Through bibliometrics and visual analysis of the related studies on traditional Chinese medicine(TCM)treatment of immune thrombocytopenia(ITP),this study aims to sort out the overall research progress,hotspots,and trends in this field,and provide reference for further research in ITP.Methods The articles on ITP treated by TCM were retrieved from China National Knowledge Infrastructure(CNKI),Wanfang Database,China Science and Technology Journal Database(VIP),Web of Science Core Collection(WOSCC),and PubMed.The retrieval time was from the establishment of the databases to July 31,2022.VOSviewer,CiteSpace,Carrot2,and Note-Express were used for data analysis of the articles in terms of their quantities,types,and journals,and for visualization of research hotspots,authors,institutions,and keywords.Results 1493 Chinese articles and 40 English articles were included.The articles in Chinese mainly focus on clinical trial research and clinical experience summary,while the English articles mainly focus on clinical trial research and animal research.The Chinese articles were published in 317 Chinese journals,while English articles were published in 29 English journals.Research hotspots include the clinical syndrome differentiation of ITP,the therapeutic effect of TCM compounds on ITP,and the mechanism of ITP treatment.Keyword analysis shows that there are many research achievements in integrated traditional Chinese and western medicine treatment,clinical research,famous doctors’experience,TCM treatment,cellular immunity,and humoral immunity.The authors with the most articles in Chinese and English are Professor CHEN Xinyi and Professor MA Rou,respectively,and the research institutions with the most articles are Dongzhimen Hospital of Beijing University of Chinese Medicine and Xiyuan Hospital of China Academy of Chinese Medical Sciences.Chinese herbs often used to treat ITP clinically include Xianhecao(Agrimoniae Herba),Nvzhenzi(Ligustri Lucidi Fructus),Mohanlian(Ecliptae Herba),Zhongjiefeng(Sarcandrae Herba),etc.,and the prescription usually used to treat ITP include Guipi Decoction(归脾汤),Xijiao Dihuang Decoction(犀角地黄汤),Bazhen Decoction(八珍汤),Erzhi Pill(二至丸),and Xiaochaihu De-coction(小柴胡汤).The main development trends toward retrospective study,TCM treatment mechanism,and data mining.

Analysis on Visual Significance of Yi Nationality Decoration

In visual importance, Plato uses Maius＇ saying： Vision is the most useful source, because if we have not seen the stars, the sun and the sky, then we can not have the language to describe the universe. God invents the vision and finally gives it to me, making us see the process of reason in the heaven. In this paper, the investigated scope is mainly from Yunnan Chuxiong Heijing to Sichuan Panzhihua Yi salad area of Yi culture, using the visual analysis and theory combined method to put forward the argument.

Fundamentals of Visualizing Communication Networks

The human brain is built to process complex visual impressions within milliseconds. In comparison with sequentially coded spoken language and written texts, we are capable of consuming graphical information at a high bandwidth in a parallel fashion, producing a picture worth more than a thousand words. Effective information visualization can be a powerful tool to capture people's attention and quickly communicate large amounts of data and complex information. This is particularly important in the context of communication data, which often describes entities (people, organizations) and their connections through communication. Visual analytics approaches can optimize the user-computer interaction to gain insights into communication networks and learn about their structures. Network visualization is a perfect instrument to better communicate the results of analysis. The precondition for effective information visualization and successful visual reasoning is the capability to draw "good" pictures. Even though communication networks are often large, including thousands or even millions of people, underlying visualization principles are identical to those used for visualizing smaller networks. In this article, you will learn about these principles, giving you the ability to assess the quality of network visualizations and to draw better network pictures by yourself.

Three-Dimensional Visual Analysis for Construction Layout of Reservoir Project

It is difficult to analyze the inter-relationship for the construction layout of a reservoir project scientifically and intuitively.According to the characteristics of broad field and huge information,the modeling methods of digital terrain and solid model as well as the techniques of texture mapping and scene navigation are adopted.The simulation system is developed by C program language,which includes the functions of the interactive navigation of 3D scene,the visual inquiry of project digital model information,the storage and management of project information.A certain reservoir is taken as a case.The 3D visual analysis for the construction layout and engineering information are obtained.The proposed system is of great advantages in dealing with large amount of information and the method provides a theoretical basis and technical support for the construction layout of a reservoir project.

Double Moving Window MPCA for Online Adaptive Batch Monitoring

Online monitoring of chemical process performance is extremely important to ensure the safety of a chemical plant and consistently high quality of products. Multivariate statistical process control has found wide applications in process performance analysis, monitoring and fault diagnosis using existing rich historical database.In this paper, we propose a simple and straight forward multivariate statistical modeling based on a moving window MPCA (multiway principal component analysis) model along the time and batch axis for adaptive monitoring the progress of batch processes in real-time. It is an extension to minimum window MPCA and traditional MPCA.The moving window MPCA along the batch axis can copy seamlessly with variable run length and does not need to estimate any deviations of the ongoing batch from the average trajectories. It replaces an invariant fixed-model monitoring approach with adaptive updating model data structure within batch-to-batch, which overcomes the changing operation condition and slows time-varying behaviors of industrial processes. The software based on moving window MPCA has been successfully applied to the industrial polymerization reactor of polyvinyl chloride (PVC) process in the Jinxi Chemical Company of China since 1999.

Probiotic Lactobacillus rhamnosus downregulates FCER1 and HRH4 expression in human mast cells

AIM:To investigate the effects of four probiotic bacteria and their combination on human mast cell gene expression using microarray analysis.METHODS:Human peripheral-blood-derived mast cells were stimulated with Lactobacillus rhamnosus (L.rhamnosus) GG (LGG),L.rhamnosus Lc705 (Lc705),Propionibacterium freudenreichii ssp.shermanii JS (PJS) and Bifidobacterium animalis ssp.lactis Bb12 (Bb12) and their combination for 3 or 24 h,and were subjected to global microarray analysis using an Affymetrix GeneChip Human Genome U133 Plus 2.0 Array.The gene expression differences between unstimulated and bacteria-stimulated samples were further analyzed with GOrilla Gene Enrichment Analysis and Visualization Tool and MeV Multiexperiment Viewer-tool.RESULTS:LGG and Lc705 were observed to suppress genes that encoded allergy-related high-affinity IgE receptor subunits α and γ (FCER1A and FCER1G,respectively) and histamine H4 receptor.LGG,Lc705 and the combination of four probiotics had the strongest effect on the expression of genes involved in mast cell immune system regulation,and on several genes that encoded proteins with a pro-inflammatory impact,such as interleukin (IL)-8 and tumour necrosis factor alpha.Also genes that encoded proteins with anti-inflammatory functions,such as IL-10,were upregulated.CONCLUSION:Certain probiotic bacteria might diminish mast cell allergy-related activation by downregulation of the expression of high-affinity IgE and histamine receptor genes,and by inducing a pro-inflammatory response.

Visualization Analysis of Researches on Digital Storytelling Based on Mapping Knowledge Domain

The development of the information age and globalization has challenged the training of technical talents in the 21st century, and the information media and technical skills are becoming increasingly important. As a creative sharing form of multimedia, the digital storytelling is being concerned by more and more educators because of its discipline applicability and media technology enhancing ability. In this study, the information visualization software, i.e. CiteSpace was applied to visualize and analyze the researches on digital storytelling from the aspects of key articles and citation hotspots, and make a review on the research status of the digital storytelling in the education fields, such as promoting language learning, and helping students develop the 21 st century skills.

Mapping Research Fronts of Big Data Study in 21st Century

In this paper, we aim at researching status and finding the research fronts in the field of Big Data in recent 15 years. This study applies CiteSpace software to the visualization analysis about the literature data from the year 2000 to 2014 in Web of Science, and to carry out preliminary discussion on the research hotspot and the fronts of Big Data. It concluded that Big Data have been exerting so great influence on the world that increasing researchers from different countries and institutes have continuously researched it in recent years.

（The Good）, The Bad and The Ugly： The Visual Construction of Female Child Sex-offenders

This paper explores the visual construction and representation of female sex offenders. It utilises the case study of Vanessa George, a nursery worker who was involved in the exchange of indecent imagery of children via an online paedophile ring. The first part of the paper considers the emergence of the sub-discipline, visual criminology and examines what is known about the visual representation of female offenders. The second part presents the findings of an empirical investigation, which involved engaging in a critical, reflexive visual analysis of a selection photographs and the police mugshot of Vanessa George. The paper considers the ways in which George＇s physical appearance and her suggested ability to deceive were used to visually represent her as ＂other＂, thus reinforcing the existing simplistic motifs of female sex offending.

Visualization analysis of the international standard ISO/TC 249 for traditional Chinese medicine

Objective This study proposes to visually review the current situation and progress of standards sets by the International Organization for Standardization/Technical Committee on Traditional Chinese Medicine(ISO/TC 249). The review aims to explore the development strategies of the standards, which will exhibit the considerable impact on the economy, trade and exchanges, and cooperation in the area of traditional Chinese medicine(TCM).Methods ISO/TC 249 standards were searched on the ISO website, and their title, proposed time, current stage, scope, and classification were obtained for further summarization. Gephi was utilized to portray the co-occurrence network graph of the ISO/TC 249 standards subject.Results In ISO/TC 249, there were 116 standards, including 81 published standards and 35 developing standards by April 30, 2022. Two withdrawal standards were published after revision, which were not counted in the total standards. The number of published standards has been increasing since the first standard was published in 2014, whose title was “Sterile acupuncture needles for single use”. Among these standards, 17.24%(20/116) standards were in review, 56.03%(65/116) in publication, 3.45%(4/116) in approval, 5.17%(6/116) in enquiry,3.45%(4/116) in committee, and 14.66%(17/116) in preparation, respectively. With 116 standards, most of the research focused on the medicament, as its classification of the International Classification for Standards(ICS) showed the proportion reaching 49.54%. The network analysis data revealed that the top five most frequent words were “materials” “root” “requirements” “products” and “system”, after removing the noise data, such as prepositions,conjunctions, and pronouns. Additionally, the word “system” co-exists with the terms “computerized” “coding” “image” “tongue” and “analysis”;the word “requirement” co-exists with“manufacturing” “decoction” “process” and “materials”;whereas the word “devices” coexists with “pulse” “electric” “skin” and “measurement”.Conclusion With the increased diversification and complexity of problems, the development of standards is also oriented to multidisciplinary fields to cultivate the interdisciplinary talents, and especially the international standardization talents of compound TCM. Multi-angle analysis, formulation, and demonstration of standards, in line with industry needs in different disciplines, enhance the availability of standards and the ability to serve the industry.

Tunnel Engineering Construction Schedule Analysis and Management Based on Visual Simulation

The methodology of visual simulation for a tunnel engineering construction schedule is presented. Visualization of simulation model, calculation and result of construction schedule simulation is realized, and the construction simulation and the resource optimization of tunnel engineering are made. A risk analysis and a decision-making method of tunnel engineering construction schedule based on visual simulation are presented. Furthermore, using S curve theory and schedule management method, the real-time management and control method of tunnel engineering construction based on visual simulation is presented. The application to the tunnel engineering construction schedule analysis and management shows the feasibility and effectiveness of the method presented in this paper.

Chronic methadone use,poor bowel visualization and failed colonoscopy:A preliminary study

AIM:To examine effects of chronic methadone usage on bowel visualization,preparation,and repeat colonoscopy.METHODS:In-patient colonoscopy reports from October,2004 to May,2009 for methadone dependent(MD) patients were retrospectively evaluated and compared to matched opioid naive controls(C).Strict criteria were applied to exclude patients with risk factors known to cause constipation or gastric dysmotility.Colonoscopy reports of all eligible patients were analyzed for degree of bowel visualization,assessment of bowel preparation(good,fair,or poor),and whether a repeat colonoscopy was required.Bowel visualization was scored on a 4 point scale based on multiple prior studies:excellent = 1,good = 2,fair = 3,or poor = 4.Analysis of variance(ANOVA) and Pearson χ 2 test were used for data analyses.Subgroup analysis included correlation between methadone dose and colonoscopy outcomes.All variables significantly differing between MD and C groups were included in both univariate and multivariate logistic regression analyses.P values were two sided,and < 0.05 were considered statistically significant.RESULTS:After applying exclusionary criteria,a total of 178 MD patients and 115 C patients underwent a colonoscopy during the designated study period.A total of 67 colonoscopy reports for MD patients and 72 for C were included for data analysis.Age and gender matched controls were randomly selected from this population to serve as controls in a numerically comparable group.The average age for MD patients was 52.2 ± 9.2 years(range:32-72 years) years compared to 54.6 ± 15.5 years(range:20-81 years) for C(P = 0.27).Sixty nine percent of patients in MD and 65% in C group were males(P = 0.67).When evaluating colonoscopy reports for bowel visualization,MD patients had significantly greater percentage of solid stool(i.e.,poor visualization) compared to C(40.3% vs 6.9%,P < 0.001).Poor bowel preparation(35.8% vs 9.7%,P < 0.001) and need for repeat colonoscopy(32.8% vs 12.5%,P = 0.004) were significantly higher in MD group compared to C,respectively.Under univariate analysis,factors significantly associated with MD group were presence of fecal particulate [odds ratio(OR),3.89,95% CI:1.33-11.36,P = 0.01] and solid stool(OR,13.5,95% CI:4.21-43.31,P < 0.001).Fair(OR,3.82,95% CI:1.63-8.96,P = 0.002) and poor(OR,8.10,95% CI:3.05-21.56,P < 0.001) assessment of bowel preparation were more likely to be associated with MD patients.Requirement for repeat colonoscopy was also significant higher in MD group(OR,3.42,95% CI:1.44-8.13,P = 0.01).In the multivariate analyses,the only variable independently associated with MD group was presence of solid stool(OR,7.77,95% CI:1.66-36.47,P = 0.01).Subgroup analysis demonstrated a general trend towards poorer bowel visualization with higher methadone dosage.ANOVA analysis demonstrated that mean methadone dose associated with presence of solid stool(poor visualization) was significantly higher compared to mean dosage for clean colon(excellent visualization,P = 0.02) or for those with liquid stool only(good visualization,P = 0.01).CONCLUSION:Methadone dependence is a risk factor for poor bowel visualization and leads to more repeat colonoscopies.More aggressive bowel preparation may be needed in MD patients.