State Of Research Research Articles

A bibliometric and visualization analysis of global trends and frontiers on macrophages in abdominal aortic aneurysms research.

Macrophages are key regulators of the inflammatory and innate immune responses. Researchers have shown that aberrant expression of macrophages contributes to the development of abdominal aortic aneurysms (AAA). However, a comprehensive bibliometric analysis exploring the research status and knowledge mapping of this area is lacking. This study aimed to explore the research status, knowledge mapping and hotspots of macrophages in AAA research from a bibliometric perspective. In this study, we retrieved articles published between 2000 and 2022 on macrophages associated with AAA research from the Web of Science Core Collection (WoSCC) database. The retrieved literature data were further analyzed using Citespace and VOSviewer software. A total of 918 qualified publications related to AAA-associated macrophages were retrieved. The number of publications in this field has been increasing annually. China and the United States were the 2 main drivers in this field, contributing to more than 64% of the publications. In addition, the US had the most publications, top institutions, and expert researchers, dominating in research on macrophages in AAA. The Harvard University was the most productive institution, with 60 publications. The journal with the most publications was Arteriosclerosis, Thrombosis, and Vascular Biology (86). Daugherty Alan was the most prolific author (28 publications) and he was also the most cited co- author. Furthermore, the exploration of established animal models, macrophage-related inflammatory-microenvironment, macrophage-related immune mechanism, clinical translation and molecular imaging research remained future research directions in this field. Our findings offered new insights for scholars in this field. They will help researchers explore new directions for their work.

Recent Status and Prospects of Low-Temperature Drift Resistors

With the rapid development of modern science and technology, the stability and reliability of electronic components become essential. Low-temperature drift resistors (LTDRs) are of importance owing to their excellent performance and stability in different temperature environments. LTDR technology is now widely used in the industrial field. This paper reviews the research status of LTDRs in order to provide reference for researchers and engineers in related fields. First, the basic principle of LTDRs is briefly discussed. A brief explanation of the mechanism behind low-temperature drift is illustrated. Second, the materials, types, and manufacturing processes of LTDRs are classified and discussed. The review ends with a brief conclusion concerning the challenges from mechanism to application and the future outlook.

Self-Assembly at Curved Biointerfaces.

Most of the biological interfaces are curved. Understanding the organizational structures and interaction patterns at such curved biointerfaces is therefore crucial not only for deepening our comprehension of the principles that govern life processes but also for designing and developing targeted drugs aimed at diseased cells and tissues. Despite the considerable efforts dedicated to this area of research, our understanding of curved biological interfaces is still limited. Many aspects of these interfaces remain elusive, presenting both challenges and opportunities for further exploration. In this review, we summarize the structural characteristics of biological interfaces found in nature, the current research status of materials associated with curved biointerfaces, and the theoretical advancements achieved to date. Finally, we outline future trends and challenges in the theoretical and technological development of curved biointerfaces. By addressing these challenges, people could bridge the knowledge gap and unlock the full potential of curved biointerfaces for scientific and technological advancements, ultimately benefiting various fields and improving human health and well-being.

Research Trends in Communicative Language Teaching: A Bibliometric Analysis from 2014 to 2023

Communicative Language Teaching (CLT) is an approach to language education that prioritizes communication as the core of language learning. Since its emergence in the 1970s, it has garnered significant attention from linguists and language educators. This study aims to reveal the current status and trends of CLT-related research, thereby contributing to its ongoing development. Through a bibliometric analysis using the RStudio Biblioshiny tool, 649 documents on CLT from the Web of Science Core Collection, spanning from 2013 to 2024 were examined. Various aspects such as the number of publications, publication venues, corresponding authors' countries, the most cited documents, and frequently explored topics were analyzed. The findings suggest avenues for further exploration, including the interdisciplinary development of CLT, its application in languages beyond English, and the exploration of more practical variants of the CLT method in the future.

Generative AI insights in tourism and hospitality: A comprehensive review and strategic research roadmap

This study used bibliometric analysis and a systematic literature review (SLR) to examine how the tourism and hospitality industries use generative artificial intelligence (GAI), identifying developed patterns, theoretical frameworks, strengths and limitations, and future research challenges. We conducted a systematic review using the Scopus database, adhering to PRISMA principles. We analyzed a sample of 25 articles published between 2019 and 2023 through narrative synthesis and bibliometric analysis using the VOSviewer software, a tool for visualizing network analysis. The USA, China, India, and Saudi Arabia are the major countries engaged in GAI research in tourism and hospitality. Significant research topics emphasize decision-making, chatbots, deep learning, and sentiment analysis, mainly through the Technology Acceptance Model (TAM), Stimulus-Organism-Response (S-O-R), and Human-Computer Interaction (HCI) frameworks. GAI applications demonstrate strength in improving user experience and operational efficiency, though gaps exist in scope, ethics, technology performance, and collaboration between humans and AI. This study, therefore, provides a fundamental foundation for understanding the current status of GAI research in tourism and hospitality by pointing out some trends and areas that require further investigation to ensure the responsible and effective integration of AI within the industry.

A bibliometric analysis of accounting education literature in the digital era: current status, implications and agenda for future research

Purpose This study aims to identify and discuss influential aspects of accounting education literature in the digital era, such as key streams, themes, authors, keywords, journals, affiliations and countries. It also constructs agendas for future research. Design/methodology/approach The current study uses a bibliometric approach to analyze 287 studies indexed by the Scopus Database from 1982 to 2023. Findings The analysis reveals three themes: “the impact of emerging technologies on the accounting profession,” “the essential skills for modern accountants” and “the integration of technology into the accounting curricula.” Beyond this, the analysis points out that Macquarie University and the Queensland University of Technology were the most productive institutions. Furthermore, the leading journal was the Accounting Education Journal. The USA and Australia were leading in total citations and publications, while 2023 was the peak publishing year. Research limitations/implications The study acknowledges that alternative search keywords, databases and research categories may reveal unexplored relationships. The present study’s findings have crucial theoretical and practical implications for researchers in the accounting domain, higher education institutions and policymakers. Originality/value The study contributes to the extant accounting literature by presenting a holistic view of the impact of emerging technologies on accountants’ skills, profession and accounting curriculum, identifying gaps in the literature and proposing a research agenda.

Application and Prospect of Strapdown Inertial Navigation System in Coal Mining Equipment.

In recent years, with the rapid construction of a safe, clean, efficient and sustainable modern energy system, the intelligence of coal mining has become the inevitable direction of the development of the coal mining industry. The intelligence of coal mining system and equipment is the core of intelligent mining, and the positioning technology of mining equipment is the key to underground intelligent mining. The strapdown inertial navigation system can make up for the shortcomings of traditional GPS positioning systems and laser positioning because of its strong anti-interference, high precision and real-time monitoring, and ability to carry out real-time dynamic positioning of mining equipment in underground coal mines. This paper briefly introduces the basic principle of the strapdown inertial navigation system, analyzes the application of the existing strapdown inertial navigation system in mining equipment, and lists and analyzes the research status of the improvement strategy of the inertial navigation system, such as zero speed correction and integrated navigation technology. Finally, by analyzing the application and future development trend of inertial navigation systems in mining equipment, this paper provides more data and method support for the positioning of mining equipment in the future.

Bibliometric Analysis of Traditional Chinese Medicine in the Treatment of Asthma from 2005 to 2024

Asthma is a complex chronic respiratory disease that affects most people worldwide and imposes a heavy economic and health burden. Traditional Chinese medicine (TCM) is one of the common treatments for asthma; however, there is a lack of bibliometric analysis data on the relationship between bronchial asthma and traditional Chinese medicine. This study analyzes and visualizes current research status and future trends. Relevant English publications on traditional Chinese medicine treatment for bronchial asthma were collected from the Web of Science core collection, and bibliometric analysis was conducted using software like Histcite. A total of 406 articles meeting the criteria were included after manual screening. China (including Taiwan) emerged as the leading contributor, with the Beijing University of Chinese Medicine being the institution with the highest number of publications. 'Journal of Ethnopharmacology' was a significant publication in this domain. The most frequently occurring keyword on the main display platform was 'airway inflammation.' Future research hotspots are expected to focus on intestinal flora and metabolism. This research offers a fresh perspective for understanding developments in this field.

Advancements in Research on Mesenchymal Stem-Cell-Derived Exosomal miRNAs: A Pivotal Insight into Aging and Age-Related Diseases

Mesenchymal stem cells (MSCs) are capable of differentiating into various cell types and play a crucial role in repairing aging tissues and diseased organs. Aging manifests as a gradual loss of cellular, tissue, and organ function, leading to the progression of pathologies. Exosomes (Exos) are extracellular vesicles secreted by cells, which maintain cellular homeostasis, clear cellular debris, and facilitate communication between cells and organs. This review provides a comprehensive summary of the mechanisms for the synthesis and sorting of MSC–Exo miRNAs and summarizes the current research status of MSCs–Exos in mitigating aging and age-related diseases. It delves into the underlying molecular mechanisms, which encompass antioxidative stress, anti-inflammatory response, and the promotion of angiogenesis. Additionally, this review also discusses potential challenges in and future strategies for advancing MSC–Exo miRNA-based therapies in the treatment of aging and age-related diseases.

Comprehensive Treatment of Impacted Teeth with Comprehensive Oral Clinical Diagnosis and Treatment Thinking

Impacted teeth are a common disease in oral surgery, which can be caused by systemic factors and local factors, and the incidence of different genders, races and tooth positions is different. The clinical manifestation of impacted teeth is the absence of permanent teeth in normal position. Cone beam CT can accurately diagnose and locate impacted teeth. At present, surgical fenestration or direct extraction are often used to treat impacted teeth, but the treatment effect and prognosis are not ideal enough. In the process of oral clinical diagnosis and treatment, doctors began to adopt comprehensive diagnosis and treatment thinking to solve problems, and the key to improve the success rate of oral disease treatment is to make a clear diagnosis, reasonably evaluate the difficulty of treatment and adopt appropriate correction methods. This paper summarizes the research status of impacted teeth in recent years, focusing on the multidisciplinary comprehensive treatment of impacted teeth, in order to improve the clinical comprehensive diagnosis and treatment thinking of dentists and provide reference for accurate treatment of impacted teeth and reduction of complications in the treatment process.

Key roles of the superficial zone in articular cartilage physiology, pathology, and regeneration.

The superficial zone (SFZ) of articular cartilage is an important interface that isolates deeper zones from the microenvironment of the articular cavity and is directly exposed to various biological and mechanical stimuli. The SFZ is not only a crucial structure for maintaining the normal physiological function of articular cartilage but also the earliest site of osteoarthritis (OA) cartilage degeneration and a major site of cartilage progenitor cells, suggesting that the SFZ might represent a key target for the early diagnosis and treatment of OA. However, to date, SFZ research has not received sufficient attention, accounting for only about 0.58% of cartilage tissue research. The structure, biological composition, function, and related mechanisms of the SFZ in the physiological and pathological processes of articular cartilage remain unclear. This article reviews the key role of the SFZ in articular cartilage physiology and pathology and focuses on the characteristics of SFZ in articular cartilage degeneration and regeneration in OA, aiming to provide researchers with a systematic understanding of the current research status of the SFZ of articular cartilage, hoping that scholars will give more attention to the SFZ of articular cartilage in the future.

MicroRNAs as Promising Therapeutic Agents Against Prostate Cancer Resistant to Castration—Where Are We Now?

MicroRNAs are a conserved class of small, tissue-specific, non-coding RNAs that regulate gene expression to preserve cellular homeostasis. Proper miRNA expression is crucial for physiological balance because it affects numerous genetic pathways, including cell cycle control, proliferation, and apoptosis, through gene expression targeting. Deregulated miRNA expression has been implicated in several cancer types, including prostate cancer (PC), acting as tumor suppressors or oncogenes. Despite the availability of promising therapies to control tumor growth and progression, effective diagnostic and therapeutic strategies for different types of cancer are still lacking. PC continues to be a significant health challenge, particularly its castration-resistant (CRPC) form, which presents major therapeutic obstacles because of its resistance to conventional androgen deprivation treatments. This review explores miRNAs’ critical roles in gene regulation and cancer biology, as well as various miRNA delivery systems, highlighting their potential and the challenges in effectively targeting cancer cells. It aims to provide a comprehensive overview of the status of miRNA research in the fight against CRPC, summarizing miRNA-based therapies’ successes and limitations. It also highlights the promise of miRNAs as therapeutic agents for CRPC, underlining the need for further research to overcome existing challenges and move these therapies toward clinical applications.

Review of Key Technologies of the High-Speed Permanent Magnet Motor Drive

The high-speed permanent magnet motor has been widely used in the industrial field because of its high-power density, fast dynamic response, and wide speed range. High efficiency and stable operation are the premises for the high-speed permanent magnet motor to exert its advantages. Firstly, this article analyzes the problems existing in the drive technology of high-speed permanent magnet motors from three aspects: current harmonics, rotor position detection, and low carrier ratios. Aiming to address the above problems, the status of the latest research is summarized from the aspects of harmonic suppression, position sensorless, and control strategies. In addition, future research trends for high-speed permanent magnet motors are discussed.

Review of Performance and Applications of Common Fiber-Reinforced Concrete

Since the advent of concrete materials, it has been widely used in building structures due to its advantages such as good compressive performance, durability, and ease of sourcing. In the 1970s, to further enhance the performance of concrete, fiber materials were proposed for incorporation into concrete to address its shortcomings of poor ductility and insufficient tensile strength. This paper reviews the recent research status, advantages, and mechanical performance of fiber-reinforced concrete, and explores the future development trends of its application in building structures.

Bibliometric Analysis of Research Status, Hotspots, and Prospects of UV/PS for Environmental Pollutant Removal

There are various methods for environmental organic pollutant degradation and removal, among which ultraviolet/persulfate has drawn significant attention due to its excellent oxidizing properties, high maneuverability, and less formation of by-products. To comprehensively assess the development of ultraviolet/persulfate, a bibliometric analysis was conducted based on relevant literature indexed by Web of Science from 2002 to 2024. The findings revealed a growing number of publications, with China, Iran, and the United States being the top three countries with the highest total number of publications. Robust regional collaborations were evident. Additionally, Chinese and American scholars presented more significant activity in this field, and their publications exhibited higher quality. Furthermore, the current research hotspots, as indicated by keywords, primarily focused on the degradation mechanism of ultraviolet/persulfate and the reaction kinetic model simulation. Bibliometric results underscored that ultraviolet/persulfate, as an effective and environmentally friendly disinfection technology, possessed substantial potential for controlling diverse environmental pollutants, such as antibiotics, dyes, natural organic substances, heavy metals, microorganisms, and so on. Future research might concentrate on developing new catalytic composites and optimization of the photoactivation system. The practical application still needs to be investigated due to the complexity of the water matrix. The revival of microorganisms and the variation of toxicity should be considered further.

Proton exchange membrane‐based electrocatalytic systems for hydrogen production

AbstractHydrogen energy from electrocatalysis driven by sustainable energy has emerged as a solution against the background of carbon neutrality. Proton exchange membrane (PEM)‐based electrocatalytic systems represent a promising technology for hydrogen production, which is equipped to combine efficiently with intermittent electricity from renewable energy sources. In this review, PEM‐based electrocatalytic systems for H2 production are summarized systematically from low to high operating temperature systems. When the operating temperature is below 130°C, the representative device is a PEM water electrolyzer; its core components and respective functions, research status, and design strategies of key materials especially in electrocatalysts are presented and discussed. However, strong acidity, highly oxidative operating conditions, and the sluggish kinetics of the anode reaction of PEM water electrolyzers have limited their further development and shifted our attention to higher operating temperature PEM systems. Increasing the temperature of PEM‐based electrocatalytic systems can cause an increase in current density, accelerate reaction kinetics and gas transport and reduce the ohmic value, activation losses, ΔGH*, and power consumption. Moreover, further increasing the operating temperature (120–300°C) of PEM‐based devices endows various hydrogen carriers (e.g., methanol, ethanol, and ammonia) with electrolysis, offering a new opportunity to produce hydrogen using PEM‐based electrocatalytic systems. Finally, several future directions and prospects for developing PEM‐based electrocatalytic systems for H2 production are proposed through devoting more efforts to the key components of devices and reduction of costs.

Microgreens market and prospects for their use as a functional ingredient in food production

Currently, the microgreens market is actively growing all over the world. Due to the fragmentation of this market, high competition from manufacturers, growing consumer demand, and the high nutrient status of microgreens, research and development of new food products with microgreens as a functional ingredient are promising. The paper presents the main trends in the global microgreens market and discusses aspects of using microgreens as a functional ingredient in food products.

A Review of Semantic Segmentation and Instance Segmentation Techniques in Forestry Using LiDAR and Imagery Data

The objective of this review is to conduct a critical analysis of the current literature pertaining to segmentation techniques and provide a methodical summary of their impact on forestry-related activities, emphasizing their applications using LiDAR and imagery data. This review covers the challenges, progress, and application of these strategies in ecological monitoring, forest inventory, and tree species classification. Through the process of synthesizing pivotal discoveries from multiple studies, this comprehensive analysis provides valuable perspectives on the present status of research and highlights prospective areas for further exploration. The primary topics addressed encompass the approach employed for executing the examination, the fundamental discoveries associated with semantic segmentation and instance segmentation in the domain of forestry, and the ramifications of these discoveries for the discipline. This review highlights the effectiveness of semantic and instance segmentation techniques in forestry applications, such as precise tree species identification and individual tree monitoring. However, challenges such as occlusions, overlapping branches, and varying data quality remain. Future research should focus on overcoming these obstacles to enhance the precision and applicability of these segmentation methodologies.

Innovative Design and Optimization of High-Quality Peanut Digging-Inverter

To rapidly dry peanut pods and effectively address mold issues resulting from rainy weather, this article provides an analysis of the current research status of global peanut digging, inverting, and harvesting technologies. Based on a two-stage peanut harvesting model, the operating principles of a high-quality peanut digging-inverter are elaborated upon, and the design of key machine components is discussed. The evaluation metrics for the operation of a high-quality peanut digging-inverter include the rate of vine inverting, the soil content rate, the rate of fallen pods, and the rate of buried pods. Utilizing theoretical analysis, the Box–Behnken experimental design is employed to investigate the operating parameters of these machines, with the tractor’s running speed, the linear speed of the inverting roller, and the linear speed of the conveyor chain serving as the experimental factors in a three-factor, three-level experimental study. A regression model is established to analyze the impact of each factor on operational quality and to comprehensively optimize the influencing factors. The experimental results indicate that all factors significantly affect the rate of vine inverting. The tractor’s running speed (X1) and the linear speed of the inverting roller (X3) significantly influence the rate of buried pods, while the linear speed of the conveyor chain (X2) does not have a significant effect on this rate. Similarly, the tractor’s running speed (X1) and the linear speed of the inverting roller (X3) significantly affect the rate of fallen pods, whereas the linear speed of the conveyor chain (X2) does not. Furthermore, the linear speed of the conveyor chain (X2) and the linear speed of the inverting roller (X3) significantly impact the soil content rate, while the tractor’s running speed (X1) does not. The optimal combination of operating parameters is a tractor running speed of 1 m/s, a conveyor chain linear speed of 1.3 m/s, and an inverting roller linear speed of 2.1 m/s. Under these conditions, the high-quality peanut digging-inverter achieves a vine inverting rate of 89.29%, a buried pod rate of 0.31%, a fallen pod rate of 0.74%, and a soil content rate of 8.11%. The experimental values for each evaluation index exhibit relative errors of 1.14%, 6.45%, 1.35%, and 0.13% compared to the optimized values provided by the Design-Expert software. The findings of this research will facilitate the development of hardware conditions for the future intelligent and information-based harvesting of peanuts, thereby establishing a solid foundation for the high-quality initial processing of oilseeds.

A Review of Research on Information Traceability Based on Blockchain Technology

Blockchain technology, as an emerging distributed ledger technology, has gradually shown great potential in the field of information traceability due to its characteristics of decentralization, non-tamperability, and transparency. Through blockchain technology, the production, circulation, and consumption of products can be recorded and verified to ensure the authenticity and credibility of the data. This article reviews the application of blockchain in information traceability, focusing on analyzing its practice and effects in food safety, drug traceability, supply chain management, and energy industry traceability. Through a systematic review of existing literature, this article summarizes the research status, main results, and technical challenges of blockchain information traceability, points out its significant advantages in improving transparency and trust, and also discusses the implementation complexity, limitations in terms of cost, and performance. Finally, this article proposes future development trends, including multi-chain integration and the combination of blockchain with other technologies. The research in this article provides important reference and guidance for the further development of blockchain technology in information traceability.