Current State Of Research Research Articles

A Review of Microsphere Super-Resolution Imaging Techniques

Conventional optical microscopes are only able to resolve objects down to a size of approximately 200 nm due to optical diffraction limits. The rapid development of nanotechnology has increased the demand for greater imaging resolution, with a need to break through those diffraction limits. Among super-resolution techniques, microsphere imaging has emerged as a strong contender, offering low cost, simple operation, and high resolution, especially in the fields of nanodevices, biomedicine, and semiconductors. However, this technology is still in its infancy, with an inadequate understanding of the underlying principles and the technology’s limited field of view. This paper comprehensively summarizes the status of current research, the advantages and disadvantages of the basic principles and methods of microsphere imaging, the materials and preparation processes, microsphere manipulation methods, and applications. The paper also summarizes future development trends.

Research Review on Multi-Port Energy Routers Adapted to Renewable Energy Access

With the continuous development of renewable energy technologies, both domestically and internationally, the focus of energy research has gradually shifted towards renewable energy directions such as distributed photovoltaics and wind power. The penetration rate of renewable energy generation is constantly increasing, at the same time, the elements in the grid are becoming increasingly complex, and large-scale energy storage, as well as a variety of electricity loads such as electric vehicle charging piles and data centers are gradually appearing. Therefore, traditional distribution methods of the power grid are difficult to ensure the stable operation of the power system and cannot achieve efficient integration of renewable energy. Consequently, some scholars have proposed the concept of an energy internet. Compared to traditional power grids, the energy internet employs more comprehensive power electronics and communication technologies, enabling the interconnection of various new and traditional energy sources, and effectively integrating renewable energy. As the core device in the energy internet, the energy router plays a role in energy transformation and distribution, facilitating multi-information interconnection and multi-energy exchange within the energy internet. At the level of distribution network, the energy router can realize the efficient access of various forms of energy and the flexible control and management, which is of great significance for the optimal operation of distribution network. Against this backdrop, this paper reviews the development and current research status of energy routers, systematically analyzes the typical topologies and related control technologies of multi-port energy routers and summarizes and forecasts key issues and future development trends, aiming to provide thoughts and reference for subsequent related research.

Advancements in Soft Robotics: A Comprehensive Review on Actuation Methods, Materials, and Applications

The flexibility and adaptability of soft robots enable them to perform various tasks in changing environments, such as flower picking, fruit harvesting, in vivo targeted treatment, and information feedback. However, these fulfilled functions are discrepant, based on the varied working environments, driving methods, and materials. To further understand the working principle and research emphasis of soft robots, this paper summarized the current research status of soft robots from the aspects of actuating methods (e.g., humidity, temperature, PH, electricity, pressure, magnetic field, light, biological, and hybrid drive), materials (like hydrogels, shape-memory materials, and other flexible materials) and application areas (camouflage, medical devices, electrical equipment, and grippers, etc.). Finally, we provided some opinions on the technical difficulties and challenges of soft robots to comprehensively comprehend soft robots, lucubrate their applications, and improve the quality of our lives.

Research on the Intelligent System Architecture and Control Strategy of Mining Robot Crowds

Despite the pressure of carbon emissions and clean energy, coal remains the economic backbone of many developing countries due to its abundant resources and widespread distribution. The stable supply of coal is also vital for the global economy and remains irreplaceable in the future global energy structure. China has been a major contributor to annual coal output, accounting for nearly 50% worldwide since 2014. However, despite implementing intelligent coal mining technology, China’s coal mining industry still employs over 1.5 million underground miners, posing significant safety risks associated with underground mining operations. Therefore, the introduction of coal mining robots in underground mines is an urgently needed scientific and technological solution for upgrading China’s and even the world’s coal energy industry. The working face needs a shearer, hydraulic support, a scraper conveyor, and other equipment for coordination. The deep integration of intelligent technology with factors such as “humans, machines, the environment, and management” in the workplace is the core content of intelligent coal mines. This paper puts forward an advanced framework for robot technology systems in coal mining, including single robots, robotized equipment, robot crowds, and unmanned systems. The framework clarifies the common key technologies of coal mining robot research and development and the cross-integration with new technologies such as 5G, the industrial internet, big data, artificial intelligence, and digital twins to improve the autonomous and intelligent application of coal mining robots. By establishing a scientific and complete standard system for coal mining robots, we aim to achieve the customized research and development and standardized production of various types of robot. A specific analysis is conducted on the research progress of common key technologies such as the explosion-proof design, mechanical system innovation, power drive, intelligent sensing, positioning and navigation, and underground communication of coal mining robots. The current research and application status of various types of coal mining robots in China are summarized. A new direction for future coal mining robot research and development is proposed. Robotic mining systems should be promoted to enhance the overall intelligence level and efficiency of mining equipment. To develop human–machine environment-integrated robots to improve the autonomy and collaboration level of coal mining robots, the digital twinning of the entire mine robot system should be accelerated; the normalized operation level of coal mine robots should be improved; research on coal mining robots, shield support robots, and transportation robots should be performed; intelligence should be achieved in fully mechanized mining faces; and equipment shield support for fully mechanized mining faces should be provided. The practical process of implementing coal mining robotization is summarized in this paper, and the technical and engineering feasibility of the coal mining machine population is verified.

[Literature data mining on the current research status of uveitis in China].

Objective: To analyze the current research status of uveitis in China. Methods: It was a bibliometric analysis study. Using search formulas covering uveitis and its multiple subtypes, uveitis-related literature in English with publication dates from 2013 to 2022 was retrieved in Web of Science core databases through certain search strategies. This study used the latent Dirichlet allocation (LDA) algorithm to build topic models and analyzed the trends of research topics in recent years. Bibliometric analysis was used to analyze and visualize the bibliometric indicators (e.g., number of publications, citations, and H-index) of the included literature using tools such as VOSviewer software. Results: Over the past decade, China has published 1 657 papers on uveitis, ranking second globally. However, there is still room for improvement in terms of the H-index (58) and citation (12.28 per publication). Countries such as the USA (43.04%) and the United Kingdom (62.54%) were engaged in more international collaboration. We identified ten optimal LDA topics for uveitis literature in China such as immunotherapy, Behçet's disease, and Vogt-Koyanagi-Harada syndrome. Research on uveitis in China was mostly published in Ocular Immunology and Inflammation (92). Conclusions: China has made remarkable progress in uveitis research. Nonetheless, there is still untapped potential to enhance our global academic influence. It is encouraged to promote international collaborations, harness our expertise in areas like Behçet's disease and VKH syndrome, and publish our scientific achievements in high-impact journals.

Circulating plasma cells as a predictive biomarker in Multiple myeloma: an updated systematic review and meta-analysis

Background Circulating plasma cells (CPCs) are defined by the presence of peripheral blood clonal plasma cells, which would contribute to the progression and dissemination of multiple myeloma (MM). An increasing number of studies have demonstrated the predictive potential of CPCs in the past few years. Therefore, there is a growing need for an updated meta-analysis to identify the specific relationship between CPCs and the prognosis of MM based on the current research status. Methods The PubMed, Embase, and Cochrane Library databases were screened to determine eligible studies from inception to November 5, 2023. Publications that reported the prognostic value of CPCs in MM patients were included. Hazard ratios (HRs) with 95% confidence intervals (CIs) of overall survival (OS) and progression-free survival (PFS) were extracted to pool the results. Subgroup analyses were performed based on region, sample size, cut-off value, detection time, initial treatment, and data type. The association between CPCs level and clinicopathological characteristics, including the International Staging System (ISS), Revised-ISS (R-ISS), and cytogenetic abnormalities were also evaluated. Statistical analyses were conducted using STATA 17.0 software. Results Twenty-two studies with a total of 5637 myeloma patients were enrolled in the current meta-analysis. The results indicated that myeloma patients with elevated CPCs were expected to have a poor OS (HR = 2.19, 95% CI: 1.81–2.66, p < 0.001) and PFS (HR = 2.45, 95% CI: 1.93–3.12, p < 0.001). Subgroup analyses did not alter the prognostic role of CPCs, regardless of region, sample size, cut-off value, detection time, initial treatment, or data type. Moreover, the increased CPCs were significantly related to advanced tumour stage (ISS III vs. ISS I–II: pooled OR = 2.89, 95% CI: 2.41–3.46, p < 0.001; R-ISS III vs. R-ISS I–II: pooled OR = 3.65, 95% CI: 2.43–5.50, p < 0.001) and high-risk cytogenetics (high-risk vs. standard-risk: OR = 2.22, 95% CI: 1.60–3.08, p < 0.001). Conclusion Our meta-analysis confirmed that the increased number of CPCs had a negative impact on the PFS and OS of MM patients. Therefore, CPCs could be a promising prognostic biomarker that helps with risk stratification and disease monitoring.

Design of Intelligent Control Systems for Layered Water Injections in Oilfields

With rapid socio-economic growth and increased energy demand, exploration and exploitation of oil and gas resources have become crucial. Long-term exploitation leads to problems such as pressure drop and production reduction in oil fields, and water injection technology has become a common method to improve these problems. The traditional direct water injection for oil extraction has problems such as high injection cost and low oil recovery efficiency. Therefore, an intelligent control system for different oilfield reservoirs is needed. This study focuses on the layered water injection intelligent system based on advanced sensor technology, digital signal processing and intelligent algorithms. The article reviews the advantages of layered water injection system and the current research status, designs an intelligent control structure including hardware circuits and modular software processes, and adopts adaptive particle swarm optimization algorithm as the core of intelligent control.

Nudging Sustainable Development: Reviewing Energy Transition and Economic Development

Recently, as more countries and regions have embarked on the path of energy transition, the speed and manner of economic development have been influenced in varying degrees. However, the relationship between energy transition and economic development remains unclear, as research conclusions are inconsistent. The aim of this study is to systematically examine the relationship between energy transition and economic development using the literature review approach. This study selected 102 studies from Scopus that explicitly address energy transition and economic development as our final sample for this investigation, aiming to clarify the current research status on factors, barriers, and pathways of energy transition, and discuss related theories about energy transition. The results indicate a significant increase in research volume on this topic over the past four years, with nearly half of the studies focusing on cross-regional countries or economic entities. The sampled literature reveals various relationships between economic development and energy transition, including one-way promotion, one-way inhibition, bidirectional causality, and ineffectiveness. Factors influencing energy transition include technology, financial support, environmental governance, human capital, taxation, rents, and foreign direct investment (FDI). The main obstacles to energy transition lie in the scarcity of environmental resources, path dependence, and uneven development. Based on these research findings, this study discusses prospects and potential directions for future studies.

Current Status of Patent Research on Medical Micro-nano Robot

Abstract: Micro-nano robots have broad applications in sewage purification and DNA testing. Micro- nano robots have significant potential in the medical field， as they have higher therapeutic efficiency and safety than conventional treatment methods. Meanwhile, micro-nano robots provide a new method for treating many diseases. Therefore, as an emerging medical method, the development trend of micro-nano robots is receiving increasing attention. This study aims to provide a new approach to treating diseases that reduces the costs and risks of traditional medical treatments. This paper introduces the operation mechanism of micro-nano robots, summarizes representative patents of micronano robots in medicine, summarizes the classification according to the different driving modes, and analyzes their advantages, disadvantages, and uses. Through the investigation of many micro-nano robots, the current medical micro-nano robots are summarized and analyzed as generally challenging to prepare, difficult to control accurately, with a low degree of intelligence, and poor accuracy. Finally, the future development trend of medical micro-nano robots is overlooked. Optimizing the preparation method can significantly reduce the production cost of micro-nano robots. Mixing and driving modes can drive the micro-nano robots more efficiently. Improving the intelligence of micro-nano robots can allow them to perform more complex tasks. Improved imaging techniques allow for more precise control of the micro-nano robots. Finally, the article forecasts that micro-nano robots will develop towards the trends of non-toxic, intelligent, and controllable directions.

Key Technologies and Application of Electric Scroll Compressors: A Review

The electric scroll compressor is driven by a built-in electric motor that rotates the scroll disk. It is known for its simple structure, adjustability, and high efficiency, making it highly promising for various applications. This paper reviews the current application and research status of electric scroll compressors. It covers topics such as the optimal design of scroll compressor profiles, scroll disk leakage sealing, and computer simulation optimization design methods. Additionally, the progress and development trends of vapor-injection scroll compressors (SCVIs) are discussed. This paper also presents the latest research progress on the application of the new refrigerant CO2 in electric scroll compressors, along with its latest applications that align with sustainable development requirements. Finally, this paper concludes with recommendations for the application of electric scroll compressors and suggests future directions for research.

Current Status and Prospects of Research on Cathode Materials for Lithium-Based Thermal Batteries

Current Status and Prospects of Research on Cathode Materials for Lithium-Based Thermal Batteries

The progress of percutaneous left atrial appendage occlusion: A bibliometric analysis from 1994 to 2022.

Atrial fibrillation is the most common cardiac arrhythmia, affecting 32 million individuals worldwide. Although atrial fibrillation has been studied for decades, a comprehensive analysis using bibliometrics has not been performed for atrial fibrillation-left atrial appendage occlusion (LAAO). Therefore, we analyzed the scientific outputs of global LAAO research and explored the current research status and hotpots from 1994 to 2022. We searched the Web of Science core collection for publications related to LAAO that were published between 1994 and 2022. We then performed bibliometric analysis and visualization using Microsoft Excel 2021, Bibliometric (https://bibliometric.com), VOSviewer (version 1.6.19), CiteSpace (version 6.2. R2), and the Bibliometrix 4.0.0 Package (https://www.bibliometrix.org) based on the R language were used to perform the bibliometric analysis, trend and emerging foci of LAAO in the past 29 years, including author, country, institution, journal distribution, article citations, and keywords. In total, we identified 1285 eligible publications in the field of LAAO, with an increasing trend in the annual number of publications. The United States is the country with the most published articles in this field, while the United Kingdom is the country with the most cited literature. Mayo Clinic, from the United States, has the most publications in this area and Horst Sievert from Germany had the highest number of individual publications. The analysis of keywords showed that fibrillation, stroke, safety, oral anticoagulants, and watchman were the main hotpots and frontier directions of LAAO. Surgical treatment of nonvalvular atrial fibrillation, upgrading of related surgical instruments, and anticoagulation regimen after surgical treatment are the major research frontiers. We show that the research of percutaneous LAAO has been increasing rapidly over the last decade. Our aim was to overview past studies in the field of LAAO, to grasp the frame of LAAO research, and identify new perspectives for future research.

Exploring the Terrain: An Investigation into Deep Learning-Based Fusion Strategies for Integrating Infrared and Visible Imagery

Infrared and visible image fusion technologies influence distinct image features acquired from distinct sensors, preserving complementary information from input images throughout the process of fusion, and utilizing redundant data to enhance the quality of the resulting fused image. Recently, deep learning methods (DL) have been employed by numerous researchers to investigate image fusion, revealing that the application of DL significantly enhances the efficiency of the model and the quality of fusion outcomes. Nevertheless, it is very important to note that DL can be implemented in various branches, and currently, a comprehensive investigation of deep learning-based methods in image fusion is in process.The paper aims to provide an exhaustive review of the evolution of image fusion algorithms grounded in deep learning over the years. Precisely, this paper undertakes a particular exploration of the fusion techniques applied to infrared and visible images through deep learning methodologies. The investigation includes a qualitative and quantitative comparison of extant fusion algorithms using established quality indicators, along with a thorough discussion of diverse fusion approaches. The current research status concerning infrared and visible image fusion is presented, with a forward-looking perspective on potential future directions. This research makes an effort to contribute valuable insights into various image fusion methods developed in recent years, thereby laying a solid foundation for subsequent research goings-on in this domain.

Toward Artificial Intelligence-Human Paired Programming: A Review of the Educational Applications and Research on Artificial Intelligence Code-Generation Tools

Pair Programming is considered an effective approach to programming education, but the synchronous collaboration of two programmers involves complex coordination, making this method difficult to be widely adopted in educational settings. Artificial Intelligence (AI) code-generation tools have outstanding capabilities in program generation and natural language understanding, creating conducive conditions for pairing with humans in programming. Now some more mature tools are gradually being implemented. This review summarizes the current status of educational applications and research on AI-assisted programming technology. Through thematic coding of literature, existing research focuses on five aspects: underlying technology and tool introduction, performance evaluation, the potential impacts and coping strategies, exploration of behavioral patterns in technological application, and ethical and safety issues. A systematic analysis of current literature provides the following insights for future academic research related to the practice of “human-machine pairing” in programming: (1) Affirming the value of AI code-generation tools while also clearly defining their technical limitations and ethical risks; (2) Developing adaptive teaching ecosystems and educational models, conducting comprehensive empirical research to explore the efficiency mechanisms of AI-human paired programming; (3) Further enriching the application of research methods by integrating speculative research with empirical research, combining traditional methods with emerging technologies.

Interactions between bacteria and microalgae in microalgal-bacterial symbiotic wastewater treatment systems: mechanisms and influencing factors

Microalgal-bacterial symbiotic wastewater treatment systems (MBSWTSs) have received widespread attention due to their capacity to achieve high pollutant removal efficiency during wastewater treatment, with low energy consumption requirements, efficient carbon sequestration, and wastewater resource utilization. This paper provides an overview of the treatment performance and current research status of MBSWTSs, including a detailed summary of the mechanisms of nitrogen, phosphorus, and carbon removal by MBSWTSs and the interactions between bacteria and microalgae. In particular, this review focuses on the influence of operational parameters on the regulation of the symbiotic system, such as the microalgal:bacterial ratio, N:P ratio, external carbon source, dissolved oxygen concentration, aeration mode, and light availability. Among these factors, the microalgal:bacterial ratio, carbon source, and light availability have an important influence on microalgal-bacterial competition, as well as the trophic mode of the system, biomass production, and the capacity for the process to be practically applied on a large scale. MBSWTSs still have some challenging aspects that have hindered their development and application, such as the unknown mechanism of microalgal-bacterial co-metabolism, limited previous practical applications, algal contamination, and harvesting difficulties. To overcome these challenges, future research requires a multidisciplinary approach, incorporating life sciences, material science, and other disciplines. Comprehensive research should be conducted on the metabolic mechanisms of MBSWTSs, the optimization of process performance and waste resource utilization, providing a theoretical and practical foundation for the practical application of MBSWTSs.

A Bibliometric Analysis of Global Scientific Literature on Substance Abuse among School Students Based on PubMed Database (1991-2021)

The purpose of the study was to carry out a bibliometric analysis of the global scientific literature on substance abuse among school children to understand the global research trend on the subject. Bibliographic data of journal articles related to the study topic published during 1991-2021 were retrieved from PubMed database. Data were analyzed using the Bibliometrix R package and MS Excel. The study identified annual growth of publication trends, top authors, leading institutions, Core journals, most contributing countries, and the country collaboration in the research activities on this subject. A total of 3,326 records were selected for the analysis. The annual growth of publications was increasing in trend. Lowry Richard from USA was the most contributing author based on the highest number of publications. The USA was the most productive country publishing the highest number of articles (2408 articles) and the highest international country collaboration with 49 countries all over the world. The University of California was the leading institution (874 articles) in this study. The study identified that the journal titled ‘Addictive behaviors’ was found to be the top journal with the highest number of publications (118 articles) on this subject. The study provides the current status and development of research in the field.

Analysis of the Current Status of Sensors and HBIM Integration: A Review Based on Bibliometric Analysis

This article presents a bibliometric analysis conducted on the implementation of sensor-extracted data in the context of Historical Building Information Modeling (HBIM) with a focus on the conservation of heritage buildings. The study utilized recognized databases, namely, Web of Science (WoS) and Scopus. A bibliometric analysis methodology was applied, employing the VOSviewer 1.6.19 software. The results obtained provide a robust overview of the current state and trends in HBIM and sensor research and enabled the identification of emerging trends in the field of preventive conservation. Three promising trends were identified, establishing connections between this field and 4D spatial data management, energy performance, and artificial intelligence. Additionally, relations with climate change were also detected. These trends underscore a significant convergence of technologies and methodologies in the realm of heritage building conservation. The conclusions serve as a valuable contribution to guiding future research in the field of built heritage conservation.

An Overview of Agricultural Supply Chain and Customization

The promotion of national policies and the progress of information technology have made customized agriculture possible. Compared with contract farming, customized agriculture can not only guarantee the income problem of farmers, but also better guarantee the quality of agricultural products and close to the market demand. This paper systematically reviews the current research status of agricultural supply chain and customization, summarises the shortcomings of the existing research, and points out the direction for the subsequent research.

Knowledge mapping of immunotherapy for breast cancer: A bibliometric analysis from 2013 to 2022

ABSTRACT Breast cancer is the leading cause of cancer-related death among women globally. Immunotherapy has emerged as a major milestone in contemporary oncology. This study aims to conduct a bibliometric analysis in the field of immunotherapy for breast cancer, providing a comprehensive overview of the current research status, identifying trends and hotspots in research topics. We searched and retrieved data from the Web of Science Core Collection, and performed a bibliometric analysis of publications on immunotherapy for breast cancer from 2013 to 2022. Current status and hotspots were evaluated by co-occurrence analysis using VOSviewer. Evolution and bursts of knowledge base were assessed by co-citation analysis using CiteSpace. Thematic evolution by bibliometrix package was used to discover keywords trends. The attribution and collaboration of countries/regions, institutions and authors were also explored. A total of 7,975 publications were included. In co-occurrence analysis of keywords, 6 major clusters were revealed: tumor microenvironment, prognosis biomarker, immune checkpoints, novel drug delivery methods, immune cells and therapeutic approaches. The top three most frequently mentioned keywords were tumor microenvironment, triple-negative breast cancer, and programmed cell death ligand 1. The most productive country, institution and author were the USA (2926 publications), the University of Texas MD Anderson Cancer Center (219 publications), and Sherene Loi (28 publications), respectively. There has been a rapid growth in studies on immunotherapy for breast cancer worldwide. This research area has gained increasing attention from different countries and institutions. With the rising incidence of breast cancer, immunotherapy represents a research field of significant clinical value and potential.

A Review of the Research on Electro-hydraulic Load Simulator and Characteristics with Improvement Methods

Abstract: The electro-hydraulic load simulator is a semi-physical simulation system. It is used to simulate different loads on the bearing capacity object (steering gear system) under working conditions and further test the dynamic and static characteristics of the bearing capacity object. Therefore, it is widely used in important applications such as the simulation of various loads and the development of high-performance steering gear systems. By analyzing and discussing the electro-hydraulic load simulator equipment and its improvement methods, some useful conclusions have been drawn to predict the development of the electro-hydraulic load simulator and its key technologies. The current status of research on electro-hydraulic load simulator prototypes is discussed in depth. The electro-hydraulic load simulators are classified according to the loading system applying force (torque). The improvement methods of the electro-hydraulic load simulator, including the method of suppressing the extraneous force, the compensation method of nonlinear factors, and the method of establishing the mathematical model, are analyzed and summarized. By summarizing the literature and patents on electro-hydraulic load simulation technology, the principle, and characteristics of different equipment and improvement methods are analyzed and compared, and future development of electro-hydraulic load simulation equipment and technology is discussed. The research on the characteristics of the prototype, the hardware means and control strategy to suppress the extraneous force, the compensation of nonlinear factors, and the methods of establishing the mathematical model are beneficial to improve the loading accuracy of the electro-hydraulic load simulator.