Narrow Results

Against the backdrop of increasing research on the optimization and application of intelligent technology, this study reviews the relevant literature from the perspectives of machine intelligence and intelligent systems, aiming to offer new research ideas for achieving sustainable agricultural development. By analyzing 1,611 Chinese and foreign literatures from 2000 to the present, we have found that research in the field of machine intelligence and intelligent systems has experienced a three-stage development pattern of fluctuating upward, explosive growth, and slowing down through adjustment, reaching a peak in 2022. China, India, and the United States are the main countries conducting research in this field. Although cooperation among countries is frequent, collaboration between authors is less common, and academic connections are relatively weak. Currently, the field of intelligent systems is moving toward diversified development. Researchers can further enhance studies in the interdisciplinary areas of intelligent technology, laying the foundation for the application of intelligent systems and machine intelligence in sustainable agriculture.

Manufacturing product innovation is increasingly showing a green, low-carbon, systematic ecological innovation development trend. In this paper, using CiteSpace analysis method and assisted by BICOMB2 software, the literature of CNKI (1992–2019) and WOS (1995–2019) database was analyzed to construct the knowledge mapping of manufacturing product innovation, and the research findings were as follows: (i) The research is mainly concentrated in China, the United States, the United Kingdom, Germany and other countries. The number of Chinese scholars’ research is the largest, but the American scholars’ research is the first in novelty and prospective, and its sigma value is as high as 294.17. (ii) In recent years, Shanghai Jiaotong University, Xi’an University of Technology, Hunan University and other research institutions have recently produced more research results on product innovation. Among them, Shanghai Jiaotong University can be ranked first. (ii) “Green product innovation” and “product innovation performance” can continue to be the hot spots for future manufacturing product innovation and development.

The peculiar nonlinear optical responses of two-dimensional (2D) materials endow them highly attractive for photonics applications. This review systematically discusses the performance of pulsed lasers employing 2D materials as their modulation device. First, it is crucial to categorize 2D materials that can act as saturable absorbers, encompassing a range of substances such as Graphene, Black Phosphorus, Topological Insulators, MXene, and even heterojunction. Furthermore, a thorough investigation is conducted to analyze the performance indexes to study the nonlinear characteristics of 2D materials in the pulse generation. Especially, the focus is on the 1.5 $\mu$m band ultrafast lasers utilizing 2D materials. This paper also provides a comprehensive analysis of the obstacles and prospects in 2D materials preparation, and their utilization in the pulse laser systems.

Objective: This study used CiteSpace to look at the current state of research on epilepsy and synaptic plasticity and to point out the hotspots and frontiers. Method: We searched Web of Science (WoS) for studies related to epilepsy and synaptic plasticity. CiteSpace was used to construct network maps of cooperation across countries, institutions, and authors to identify frontiers and hotspots in epilepsy and synaptic plasticity research. Results: A total of 1700 studies on epilepsy and synaptic plasticity were retrieved from the WoS. The United States and Baylor College of Medicine were the most prolific nation and institution in this field with 680 and 28 publications, respectively. The most prolific author (11 articles) was Xuefeng Wang. The Journal of Neuroscience published the most articles (71, 6.71%) and had the most co-citations (1557, 4.57%). In this paper, the interaction and mechanism between epilepsy and synaptic plasticity, as well as future research hotspots, are highlighted. Conclusion: CiteSpace can reveal the institutions, leaders, journals, cited papers, and research hotspots involved in epilepsy and synaptic plasticity. To the best of our knowledge, this is the first study that visualizes the relationship between epilepsy and synaptic plasticity and provides references for future research directions.

Objective: To understand the research status and hot topics of internal medicine teaching in traditional Chinese medicine (TCM) in recent 20 years.

Methods: The relevant literature on the teaching of Chinese Internal Medicine in the past 20 years (2004–2023) was searched in China National Knowledge Infrastructure (CNKI), and the authors, institutions, and keywords were co-occurred and/or cluster analysis by using CiteSpace6.2.R7 and VOSviewer1.6.20 software.

Results: A total of 1117 journal articles were included, showing an overall upward trend. The journal with the most published articles is “Chinese Medicine Modern Distance Education of China”, the author is Xiao Yonghua of Dongzhimen Hospital of Beijing University of Chinese Medicine, and the research institution is Henan University of Chinese Medicine, with few cross-team and cross-institutional studies. Keywords “teaching method”, “teaching reform”, “problem-based learning”, “case teaching”, and “clinical teaching” are the research hotspots. “Flipped classroom” and “presentation assimilation discussion” in teaching methods, as well as “curriculum ideology and politics” and “talent cultivation” are possible research directions.

Conclusion: Teaching method and teaching reform are the research hotspots of internal medicine teaching in TCM, and the research frontier is the refinement of teaching method, that is, flipped classroom and presentation assimilation discussion, as well as curriculum ideology and politics. However, there is a lack of large sample and multi-center studies.

Frequent in recent years, all kinds of emergencies, to dissolve the major security risks, timely response to the treatment of all kinds of disasters and accidents, and protect people’s lives and property security and maintain social stability, many experts and scholars in different cases of the incident made a practical scheme of dynamic mining of decision and analysis in recent years, domestic research dynamic emergency logistics and explore its research direction, Based on China National Knowledge Infrastructure (CNKI) database, this paper selected papers on dynamic emergency logistics as the research object from 2006 to 2022. With the help of CiteSpace visualization software, a visual analysis was carried out from four aspects: an annual number of publications, author distribution map, keyword clustering, and research hotspots. Results show that the dynamic emergency logistics research in China can be summarized as an emergency plan, emergency management, dynamic allocation, dynamic decision-making, such as clustering direction, dynamic research of emergency logistics has experienced the start stage, development stage, and development stage, the research focus in this field has focused on the dynamic allocation of emergency supplies, facility location, modeling and vehicle routing optimization problem.