Global Scientific Trends in Research Related to Diabetic Sarcopenia from 1993 to 2023: A Bibliometric Analysis

Objectives: In this study, bibliometric approach was used to explore the literature in the field of research related to Diabetic Myasthenia Gravis in order to identify the current research progress in Diabetic Myasthenia Gravis related research and to help the researchers to predict the future hotspots in the field of research and to provide reference for the research. Methods: Literature related to diabetic sarcopenia published from 1993 to 2023 since the inception of the repository was extracted from the Web of Science Core Collection (WoSCC) and bibliometric analyses were performed. We have analysed the published literature of the last approximately almost 30 years, as well as publication and citation analyses from different countries, institutions, journals and authors. For keywords, we performed co-occurrence, clustering, timeline view and citation burst analysis. Results: On the basis of 1564 publications, we found a continuous increase in the number of publications and citations, especially in the last six years. The United States is the most representative country, and Seoul National University (SNU) is the most representative institution. The most popular journal in the field is Diabetes Care;Fukui, Michiaki is the most prolific author, leading many studies related to diabetic sarcopenia. The most frequently cited reference was a revised European consensus on the definition and diagnosis of sarcopenia;the most cited keywords were related to physiological factors of diabetes, sarcopenia and related conditions, such as “insulin resistance”, “skeletal muscle”, “body composition”, “risk” and “prevalence”. Conclusion: With more and more studies on the relationship between diabetic sarcopenia, this study presents the current status and trend of research related to diabetic sarcopenia over the past nearly 30 years through the visualization software CiteSpace. It can help researchers identify potential collaborators and partner institutions, hotspots and research frontiers in the field of diabetic sarcopenia. However, our work is only based on the English language literature in the WoSCC database, and for future studies, we recommend that researchers explore the literature from multiple databases to enhance the scope of their research.

The Research on Open Sharing of Higher Education Park Based on Intelligent Security System

The intelligent security system is a series of systems that use modern information technology means such as artificial intelligence, cloud computing, big data, face recognition to carry out comprehensive monitoring, early warning, prevention and control, disposal, etc, for security protection. It is the development trend of security system in the future, and it is also the basis for open sharing between higher education parks and universities. By using content analysis, unstructured interviews and other research methods, this paper deeply studies the feasibility and basic ideas of the construction of intelligent security system in Shahe Higher Education Park, and forms basic experience and typical practices through the project construction, which further promotes the more intelligent, standardized and scientific safety management in colleges and universities. It really provides an important theoretical basis and practical guidance for the opening and sharing between higher education parks and universities.

Behind the Scenes with a Video Training Platform: The Challenges of Researching the Provision of Open Educational Resources

Video training platforms are now being implemented on a large scale in organizations. In this paper, I look at a video training platform including open educational resources available for many employees with varying patterns and motivations for use. This has provided me with a research challenge to find methods that help other practitioners in the field understand and explain such initiatives. I describe ways to model the research and identify where pressures and contradictions can be found, drawing on a reflective view of my own practice in performing the research. Open educational resources are defined as technology-enabled educational resources that are openly available for consultation, use and adaptation by users for non-commercial purposes [1]. The bank subject to this case study has been the first organisation in Turkey that provided open educational resources for all its employees. The video platform (called “For @ Tube”) provides users with over 100 video lectures drawn from reputable universities around the world including Yale and Harvard. Other learning tools such as discussion forums, blogs and traditional e-learning courses have been made available to the users on the e-learning platform called “For @” since 2006. In this paper, I aim to introduce the new video training platform (“For @ Tube”) and outline some of the main research issues surrounding such an initiative. I seek to explore theoretical and practical approaches that can provide suitable tools for analysis. Activity theory is seen as a suitable approach for macroanalysis and its use is illustrated in terms of the complexity of large scale research. Activity theory, besides informing research perspectives, can be turned in upon the research process itself, allowing us to consider the challenges and context of the research. By using activity theory in this way and illustrating from a range of practical approaches, I demonstrate and illustrate a useful research approach.

Machine learning applications in healthcare clinical practice and research

Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligence.Among its various applications,it has proven groundbreaking in healthcare as well,both in clinical practice and research.In this editorial,we succinctly introduce ML applications and present a study,featured in the latest issue of the World Journal of Clinical Cases.The authors of this study conducted an analysis using both multiple linear regression(MLR)and ML methods to investigate the significant factors that may impact the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease(NAFLD).Their results implicated age as the most important determining factor in both groups,followed by lactic dehydrogenase,uric acid,forced expiratory volume in one second,and albumin.In addition,for the NAFLD-group,the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure,as compared to plasma calcium and body fat for the NAFLD+group.However,the study's distinctive contribution lies in its adoption of ML methodologies,showcasing their superiority over traditional statistical approaches(herein MLR),thereby highlighting the potential of ML to represent an invaluable advanced adjunct tool in clinical practice and research.

Synthetic data as an investigative tool in hypertension and renal diseases research

There is a growing body of clinical research on the utility of synthetic data derivatives,an emerging research tool in medicine.In nephrology,clinicians can use machine learning and artificial intelligence as powerful aids in their clinical decision-making while also preserving patient privacy.This is especially important given the epidemiology of chronic kidney disease,renal oncology,and hypertension worldwide.However,there remains a need to create a framework for guidance regarding how to better utilize synthetic data as a practical application in this research.

Harnessing artificial intelligence for identifying conflicts of interest in research

This editorial explores the transformative potential of artificial intelligence(AI)in identifying conflicts of interest(COIs)within academic and scientific research.By harnessing advanced data analysis,pattern recognition,and natural language processing techniques,AI offers innovative solutions for enhancing transparency and integrity in research.This editorial discusses how AI can automatically detect COIs,integrate data from various sources,and streamline reporting processes,thereby maintaining the credibility of scientific findings.

A Reviewing on English Writing Researching in China

English writing is also a crucial means of evaluating the language proficiency of a learner of English as second language.As a result, it is essential to review English writing researching in terms of contents, number, methods, process, feedback and assessment which can guide our English writing teaching effectively.

Can Crossref Citations Replace Web of Science for Research Evaluation?The Share of Open Citations

Purpose:We study the proportion of Web of Science(WoS)citation links that are represented in the Crossref Open Citation Index(COCI),with the possible aim of using COCI in research evaluation instead of the WoS,if the level of coverage was sufficient.Design/methodology/approach:We calculate the proportion on citation links where both publications have a WoS accession number and a DOI simultaneously,and where the cited publications have had at least one author from our institution,the Czech Technical University in Prague.We attempt to look up each such citation link in COCI.Findings:We find that 53.7%of WoS citation links are present in the COCI.The proportion varies largely by discipline.The total figures differ significantly from 40%in the large-scale study by Van Eck,Waltman,Larivière,and Sugimoto(blog 2018,https://www.cwts.nl/blog?article=n-r2s234).Research limitations:The sample does not cover all science areas uniformly;it is heavily focused on Engineering and Technology,and only some disciplines of Natural Sciences are present.However,this reflects the real scientific orientation and publication profile of our institution.Practical implications:The current level of coverage is not sufficient for the WoS to be replaced by COCI for research evaluation.Originality/value:The present study illustrates a COCI vs WoS comparison on the scale of a larger technical university in Central Europe.

Researching Classroom-Based Assessment for Formative Purposes

This article aims to help teacher-researchers engage in empirical research on classroom-based assessment for formative purposes. We will first introduce the key features of classroom-based formative assessment(CBFA), and analyze the research questions asked in round-one projects funded by the Fund for Assessment Research(FAR) in Foreign Language Education in China. Next, we will illustrate how some research questions can be answered by analyzing a video-taped lesson from a round-one FAR project. We conclude by calling for more teacher-led research and argue that research on CBFA by teachers will not only produce valid interpretations and applicable findings, but also constitute a viable model for teacher professional development.

跨学科口笔译研究的百科全书——Researching Translation and Interpreting介评

劳特里奇出版社2016年推出的Researching Translation and Interpreting一书以综合开阔的研究视野和跨学科融合的研究范式,广泛吸收与借鉴了社会学、文化学、人类学、语言学、认知科学、心理学、历史学、教育学等多个相关学科的研究成果,全面建构起口笔译研究的路线图和方法论,为读者提供了比以往论著更全更新的研究视角和方法指南,堪称跨学科口笔译研究的百科全书。该书对丰富和完善口笔译研究的理论与方法,促进和推动翻译学的学科发展具有重要的参考价值和指导意义。本文拟对这一著作进行介绍,并在此基础上分析其学术特色及贡献,指出存在的局限和不足,旨在为国内口笔译研究提供借鉴和启示。

An Research on the Model Design of the Academic Education's Credit Transfer in the Open University

Based on the analyses of the credit bank both at home and abroad, explore the effective way to construct the credit transfer model, find out the main problems in the process of transferring, design a much better model, formulate a new standard for credit transfer and carry out the research on the model design of the academic education's credit transfer in the open university.

Research on Open Block's Pedestrian System Based on the EnvironmentBehavior Theory: A Case Study of Shenzhen Oct-loft

In the context of banning gated communities, blocks returning to the human-oriented scale become the new normal, and pedestrian system design will be paid more attention in the urban planning field. Oct-Loft Creative Park is a template for open blocks in Shenzhen, with a convenient and humanized pedestrian system. This paper selects the creative park's pedestrian system as the research object, using the environment-behavior theory for analysis. Finally, optimization strategies of pedestrian system will be put forward.

Developing Theoretical Relativistic Framework for Research in Open and Flexible Learning： A New Trend in Educational Research

The purpose of research study was to develop a theoretical relativistic framework for research in open and flexible learning environment because it is a new dimension in the field of education. Developing a theoretical relativistic framework for any research study is first and prime step in walking on the track to reach the distinction set by the researcher. Open and flexible learning is a new trend in education, enriched with ICT-use as a basic demand of the 21st century generation in all parts of the globe. So, it requires a theoretical framework for its initiation, implementation, development and evaluation which is relatively developed and advanced from the existing framework. In any research study the literature review is carried out in order to develop, build or construct a theoretical framework. The researcher of the study has observed while attending the international conference on ODL （AAOU, 2013） that most of the studies require theoretical underpinning for ICT-use in education. The researcher assume that being a new trend in education to use ICT for teaching learning purpose; it requires conceptual clarity and theoretical background of the user and researcher, because, without theory the practice is wastage of money, time and energy and it becomes ineffective and requires relatively new conceptual development. So, the problem stated by the researcher for the study was： Developing theoretical relativistic framework for research in open and flexible learning： A new trend in educational research. The objective of the study was integrating the interrelated concepts to build a pnemonological network for identifying the constructs in ICT-rich open and flexible learning environment. The study was significant because it provided theoretical background for conducting research in ICT-use for teaching and learning through open and flexible systems; whether blended or online learning and training. The methodology used by the researcher was qualitative and interpretive because there were reviewing of literature and meta-analysis for building the framework. The data were analyzed and interpreted by the researcher for the findings and drawing conclusions. On the basis of conclusions the researcher has made suggestions and recommendations for conducting research in open and flexible learning environment by using this theoretical relativistic framework. The framework was named as Virtual Learning Environment Framework （VLEF）.

Research on the Opening of Adverse Drug Reaction Data in the EU

Systematically analyze the composition of post-marketing adverse drug reaction data and the open mode in the EU, and summarize its characteristics. EU post-marketing ADR data is open to six categories of stakeholders: EMA, EC, medicines regulatory authorities in EEA member states, healthcare professionals and the public, Marketing Authorization Holders, academia, WHO and medicines regulatory authorities in third countries. The EU has implemented hierarchical opening for ADRs, with different levels containing different data and facing different stakeholders. Openness is divided into active and passive openness. In opening up data, the EU complies with relevant personal data protection laws to protect the privacy of individuals. The EU’s post-marketing adverse drug reaction data openness is characterized by a combination of data openness and privacy protection, active and passive openness, and a hierarchy of data openness. It is hoped that this can provide a reference for the opening up of post-marketing adverse drug reaction data in China.

Defining an open access resource strategy for research libraries:Part Ⅰ—The coming main streamlization of open access resources?

Open access(OA) resources are becoming a main part of scholarly information. The paper summarizes the fast growth of OA journals and OA repositories, the outstanding OA journal impact increase, the rise of mega-OA journals like PLoS ONE, the overwhelming support of research communities to open access of publicly funded research, and the quick building up of OA support structures. These forces work together to push scholarly communications toward a turning point where OA resources occupy a major and increasing share of scholarly research resources and when management of OA resources becomes a strategic, yet unfamiliar, and potentially disruptive task for research libraries. This paper is composed of two parts. The first part will focus on the development of OA resources, while the second part will analyze the challenges in management of OA resources and develop an OA resource strategy exemplified by some of NSL's initiatives.

基于CAPE-OPEN标准的简捷炼油过程建模及常减压蒸馏流程在线模拟

简捷炼油过程模型广泛应用于运行监测、在线计算、实时优化等领域,但大多数模型只是将输入、输出变量进行关联,无法计算出各组分流量组成,难以集成在模拟软件中进行全流程模拟。本研究简化了炼油分离过程,开发了基于CAPE-OPEN标准的简捷炼油塔模型。首先,将炼油过程简化为连续的分离单元,根据实际产品数据校正模型参数,实现某一实际工况流程模拟;其次,将模型参数与实际工况操作变量数据相结合,采用径向基函数插值确定操作变量对模型参数的影响关系,实现多种工况流程模拟;最后,通过常减压蒸馏工业装置实例的3种工况进行验证。结果表明:各工况模拟结果与Aspen计算结果相比,初馏塔塔顶油馏出温度点偏差大多在2%以内,常减压蒸馏塔各侧线油的馏出温度点平均偏差在3%以内;与实际结果相比,平均误差都在5%以内,符合工程允许误差范围要求。所建模型的计算速度快,各塔均在0.2 s左右完成计算,适用于在线生产、调度等。

我国高质量教育资源供给机制创新与路径研究——来自美国“#GoOpen”计划的启示

数字化是当下教育改革的重点,也是未来教育发展的趋势。无论是作为“十四五”规划中的战略举措,还是党的二十大中提出的必然要求,构建数字化教育资源为主体的高质量教育资源体系在当下具有必要性与迫切性。美国#GoOpen计划自实施以来,在教育资源数字化、个性化、均等化三个方面均取得了一定成果。通过对该计划官方文件与政策进行解读,对其内涵与特点进行分析,我国在进行高质量教育资源建设及其供给路径探究过程中应当重视统筹规划,循序渐进,同时完善多重考核与评估机制,结合社会多方力量,保证每个学习者的享有权利,最终走向教育公平,共同发展。

Defining an open access resource strategy for research libraries:Part Ⅱ——Challenges and responses

Purpose: This paper aims to provide a systematic analysis of challenges and responses of the imminent open access-based environment so as to enable sound development of open access(OA) resource strategies.Design/methodology/approach: A systematic and evidence-based analysis is used to discover, identify, and contextualize the factors that relate or interact. A challenge metric for the overall context and additional frameworks or alternative lists is used for the detailed analysis.Findings: Research libraries are facing a reality conflict between the traditional library solution and the OA solution. New resource strategies are needed but have to be based on an open knowledge infrastructure and a systematic analysis of factors and alternatives. Support for OA publishing is becoming a major task and complicated capabilities involved call for libraries to play a central role. Hybrid collection development should be in place to take full advantages of the open world while ensuring reliable and trusted retrieval, reuse, and preservation.Research limitations: The research covers main developments in US and European countries mostly in scientific fields and for scholarly papers.Practical implications: There are already evidences for sound OA resource policies. With the imminent dominance of OA resources, research libraries should and can set up their OA resource strategies.Originality/value: The paper suggests a factor metric as an analysis framework, presents rationale lists and policies to support OA publishing, and proposes a hybrid collection strategy to plan for collection development, retrieval, and preservation.

Higher Education Reform for Computer Major Students in Open and Research Environments

This paper analyzes the requirement of professional computer talents in Chinese universities,and introduces the practice in innovative educational methods taken by Shandong University in an open and research environment.In order to improve educational quality,we have carried out a serial of reforms,including "Four Experiences" aiming at diversifying study environments and fostering their adaptability and extending their vision.Students are encouraged to join "Research Assistant" program and participate in scientific projects to improve their ability in research and innovation.They also conduct "Engineering Practice" to learn latest modeling and programming skills.Compound talents characterized of solid foundation,high quality and strong practical ability are shaped through these initiatives.

基于YOLO-OpenMax的水声通信信号开集识别方法

水声通信信号调制方式随着技术进步从典型的传统调制方式发展为水声通信机厂商私有开发的新型调制方式,这使得现有的水声通信信号闭集调制识别技术实用性受到制约,但现阶段鲜有研究基于深度学习的水声通信信号调制方式的开集识别方法。针对此现状,提出一种基于YOLO图像检测识别网络和OpenMax模型的开集识别方法。利用YOLOv5网络的输出特点,将传统OpenMax模型的处理方法进行改进,提出一种两步测试方法,实现了在多径信道下的水声通信信号的开集识别。仿真实验表明:在归一化系数为0.5,信噪比等于10 dB条件下的归一化开集识别准确率达到90%以上,实测数据同样验证了本文方法的有效性。