State Of Research Research Articles

Research Hotspots in and Progress of Stable Isotopic Techniques Applied in Tracing Mine Water Pollution and Its Environmental Impact: A Bibliometric and Visualization Analysis from 1998 to 2023

Stable isotope techniques have become a critical tool for tracking mine water and identifying its contamination. In order to explore in depth the research hotspots and trends in stable isotope technology in the study of mine water and the environmental pollution it induces, the Web of Science Core Collection (WoSCC) database of the relevant literature in this field from 1998 to 2023 was used for visual bibliometric analysis by applying CiteSpace software (version 5.7R5). The results showed that the periodical literature in this field shows a fluctuating upward trend. In the cooperation network of country and institution, the centrality of the United States was as high as 0.74 and 0.23, much higher than that of other countries, which means that in terms of the institutions, the number of publications, and the status of research, the United States is ahead of other countries. China’s research started later than the United States’s but is developing rapidly. Although its importance and influence in this research field are only slightly lower than those of the United States, China still needs to improve its cooperation with other countries and regions. The research hotspots in this area center around identifying and understanding pollution processes, studying mine water sources and mixing, exploring the evolution of water chemistry and its isotopic composition, and investigating the environmental impacts of mine water. Innovative isotope-tracing methods and techniques, isotope fractionation mechanisms, sources of sulfate, and their impact on the water environment will remain the focus of the forthcoming research phase. This study uses bibliometrics to systematically summarize the research hotspots and trends in stable isotope techniques in mine water problems in terms of their footprint in the academic literature, which is of great significance for the utilization of water resources in mine drainage and pollution control in mines.

Relativistic fluids in cosmological spacetimes

Abstract We review the status of mathematical research on the dynamical properties of relativistic fluids
in cosmological spacetimes - both, in the presence of gravitational backreaction as well as the
evolution on fixed cosmological backgrounds. We focus in particular on the phenomenon of fluid
stabilization, which describes the taming effect of spacetime expansion on the fluid. While fluids
are in general known to form shocks from regular initial data, spacetime expansion has been found
to suppress this behaviour. During the last decade, various rigorous results on this problem have
been put forward. We review these results, the mathematical methods involved and provide an
outlook on open questions.

Green Behaviour Engagement Towards the Achievement of Sustainable Health: A Systematic Review and Bibliometric Analysis

Background The short-term actions generated by the proposed SDGs by the United Nations promote sustainability and raise the probability of finding the best global crisis solution. This research builds on previous studies that demonstrate the interconnectedness and reciprocal support of Goals 3 and 12 in their pursuit of societal transformation by altering production and consumption patterns. Focus of the Article This study set out to fill a knowledge need by examining the current state of the literature on the topic of how SDGs interact with one another. The paper primarily addressed SDGs 3 and 12. Research Question (a) How could green behaviour promote sustainable health, and what is the present status of research in this field across nations, research communities, academic journals, and professional organizations? (b) How, with research topic as the key domain, can we make progress towards Sustainable Development Goals 3 and 12 through the social marketing?. Importance to the Social Marketing Field The purpose of this paper is to provide a plan for bringing about societal transformation by means of sustained, short-term efforts in the realms of production and consumption, undertaken with the backing of the nation’s stakeholders. Doing so makes long-term success in altering health-related behaviours (prevention, protection, and persistence in the face of health hazards) more likely. Despite their best efforts to enhance the well-being of societies through social transformation, the authors believe that social marketers may be steering communities in an unsustainable direction. Method Thus, a systematic review and bibliometric analysis were conducted to ascertain the breadth of the research underlying the title by analyzing 135 Scopus publications from 74 journals from 2011–2022 and graphically presented and tabulated the trends, important authors, nations, research papers, and keyword co-occurrences. Biblioshiny, a Bibliometrix R-tool used for the purpose of scientific mapping. In addition, the alignment of study of keywords by taking social marketing discipline into account was justified through systematic review. Results Research on the interplay between SDGs and other factors is required, as 27% of the data remains unexplained. Short-term sustainable behaviours that may enhance health outcomes are combined in this study to better inform policymakers and marketers about consumers’ long-term commitment to sustainable green consumption. Recommendations for Research According to the study’s results, government agencies should create social marketing initiatives to influence the public’s behaviour and promote the health and well-being benefits associated with sustainable production and consumption. Additionally, they should provide incentives to businesses to expand their range of sustainable commodities. Businesses have a shared responsibility to develop, communicate and supply customers with the advantages of sustainable offerings, and enhance the demand for these products through a green marketing approach while reducing their prices. The ecosystem as a whole will reap the benefits of everyone’s efforts, as well as the health and happiness that comes with it. Limitations From 2011 through 2022, the Scopus database’s articles and review papers were used in the study. Additional knowledge in this area might be gained from a comparison of databases like Web of Science, Dimensions, Google Scholar, etc. The study had no geographic focus. Therefore, future research should assess this field’s national and regional potential.

Utilization Status of Oil-Based Drilling Cutting Pyrolysis Residues in The Field of Building Materials

The exploitation of shale gas generates a large amount of oil-based drill cuttings, which are harmful to the environment due to their content of petroleum hydrocarbons, heavy metals, and organic pollutants. Thermal desorption technology is one of the main techniques for treating oil-based drill cuttings. This paper focuses on oil-based drilling cutting pyrolysis residues and summarizes its current research status in the construction materials field. Currently, the application of oil-based drilling cutting pyrolysis residues has achieved certain results in road fill, cement production, ceramsite production, and wall materials, and further exploration and development are needed in the future to develop high value-added products and expand the pathways for the high-value utilization of oil residues.

Pension funds in Colombia and implications: A bibliometric analysis from Scopus

This study delves into the dynamic landscape of pension funds in Colombia, examining both its current research status and practical implications. Understanding the state of pension systems is crucial for individuals' financial security and a country's overall economic stability, especially given factors such as an aging population and evolving socio-economic dynamics. By comprehensively analyzing scholarly publications on Colombian pension funds using the Scopus database, this research sheds light on key trends and contributors shaping policy formulation and financial planning. The analysis covers a period from 1987 to 2023, identifying 71 relevant articles through keyword searches and filters. Various metrics, including publication trends, citations, international collaboration, and authorship dynamics, were quantitatively assessed. The results reveal an annual growth rate of 5.37%, with research articles comprising 81.69%, review articles 7.04%, and other formats like books, book chapters, and conference papers making up 11.27% of the total documents. Notably, countries such as the UK, the USA, Spain, and Colombia emerge as key contributors to the literature. Among authors, Mesa-Lago, L., stands out as a significant figure, with one of the earliest publications on the topic. The findings underscore the growing importance of pension funds in Colombia, particularly in the context of fund performance research amid financial crises. The prevalence of international collaboration suggests a global interest in understanding and contributing to the development of Colombian pension systems. Furthermore, the study identifies research gaps, particularly in areas concerning the socio-economic impact of pension policies, providing a roadmap for future investigations. Policymakers, financial practitioners, and researchers can leverage these insights to inform strategic decision-making and address critical challenges in optimizing pension fund management in Colombia.

Current research status and prospects for clinical application of robotics in spinal surgery

With the rapid advancement of artificial intelligence and the increasing integration of medical engineering, robot-assisted (RA) technology in spinal surgery has made significant strides, with its clinical application range continuously expanding. This article provides a comprehensive review of relevant literature on spinal surgery robots over the past decade, summarizing recent advancements in screw placement techniques such as cervical, thoracic, and lumbar pedicle screws; cortical bone trajectory (CBT) screws; cervical lateral mass screws; and S2 sacroiliac (S2AI) screws. It also discusses RA-guided targeted puncture and endoscope placement through intervertebral foramen as well as decompressive laminectomy procedures. Furthermore, this article systematically analyzes the advantages and disadvantages of RA technology while elucidating its accuracy, safety, and practicality. We believe that this article will help clinicians to gain a deeper understanding of the current clinical application status of spinal surgery robots while promoting further enhancements and wider adoption of RA technology to ultimately benefit more patients.

A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends

Recent advances in edge computing (EC) have pushed cloud-based data caching services to edge; however, such emerging edge storage comes with numerous challenging and unique security issues. One of them is the problem of edge data integrity verification (EDIV), which coordinates multiple participants (e.g., data owners and edge nodes) to inspect whether data cached on edge is authentic. To date, various solutions have been proposed to address the EDIV problem, while there is no systematic review. Thus, we offer a comprehensive survey for the first time, aiming to show current research status, open problems, and potentially promising insights for readers to further investigate this under-explored field. Specifically, we begin by stating the significance of the EDIV problem, the integrity verification difference between data cached on cloud and edge, and three typical system models with corresponding inspection processes. To thoroughly assess prior research efforts, we synthesize a universal criteria framework that an effective verification approach should satisfy. On top of it, a schematic development timeline is developed to reveal the research advance on EDIV in a sequential manner, followed by a detailed review of the existing EDIV solutions. Finally, we highlight intriguing research challenges and possible directions for future work, along with a discussion on how forthcoming technology, e.g., machine learning and context-aware security, can augment security in EC. Given our findings, some major observations are: there is a noticeable trend to equip EDIV solutions with various functions and diversify study scenarios; completing EDIV within two types of participants (i.e., data owner and edge nodes) is garnering escalating interest among researchers; although the majority of existing methods rely on cryptography, emerging technology is being explored to handle the EDIV problem.

Research Progress and Challenges of Hydrogen-Ammonia Hybrid Fuel Engines

In this paper, we review the research status of hydrogen and ammonia engines, and discuss the potential of the two fuels as clean energy sources and their challenges. Hydrogen fuel has attracted attention due to its high energy density and zero-emission characteristics, but hydrogen fuel engines have problems such as increased nitrogen oxide emissions, tempering and early ignition. Ammonia fuel, as a carbon-free alternative fuel, has the advantage of being easy to store, but it is inferior to traditional fuels in combustion performance. This paper further analyzes the research progress of hydrogen/ammonia hybrid fuel engines, highlighting specific challenges such as optimizing the fuel mixture ratio, addressing safety concerns related to hydrogen's flammability and ammonia's toxicity, and overcoming technical difficulties in combustion control, points out the combustion support effect of hydrogen and the influence of ammonia on combustion rate, and discusses the advantages of hybrid fuel engines in emission control. Finally, this paper summarizes the current development trend of hydrogen/ammonia fuel engine technology and puts forward suggestions for future research directions.

Principles of designing electrocatalysts to boost C–N coupling reactions for urea synthesis

AbstractThe electrocatalytic C–N coupling reaction can achieve green and sustainable urea synthesis as well as CO2 conversion and nitrogen fixation. However, the electrocatalytic C–N coupling reaction still faces challenges such as difficult adsorption and activation of reactive species, a large number of reactive intermediates, high reaction energy barriers, and inert reactive kinetics, resulting in the low urea yielding rate and Faradic efficiency. The development of efficient catalysts is key to improve the urea yielding rate and Faradic efficiency. This review covers the development history and basic principles of electrocatalytic C–N coupling for urea production, analyzes the nanostructure–catalytic activity relationship as well as the electronic structure–catalytic activity relationship, and discusses the main reaction mechanism of electrocatalytic C–N coupling for urea production. Based on these analyses, the concept of designing efficient C–N coupling catalysts is derived. Finally, the research status of electrocatalytic C–N coupling for urea synthesis is summarized, and the prospect for developing efficient electrocatalysts and C–N coupling mechanism are proposed.

Research Status and Prospect of Rheology of Waxy Crude Oil

Research Status and Prospect of Rheology of Waxy Crude Oil

Application of Multimedia Information Retrieval Technology in Japanese Text Content Information Query Platform

The research and development of Japanese operating platform has become a new industry. At the same time, it is necessary to strengthen the research on query and feedback technology in MIR(Multimedia Information Retrieval). Based on this, this paper introduces the research status and progress of query and feedback technology in multimedia retrieval, and introduces the overall framework and technical links of MIR. This paper discusses the application of MIR technology in Japanese text content information query platform. A new multimodal retrieval mechanism is proposed, which combines cross-reference index and underlying features in retrieval and related feedback to realize unified processing of multimodal data. The time consumption of the algorithm is lower than that of the two comparative algorithms, which also verifies the superiority. It is feasible to apply the MIR technology proposed in this paper to the Japanese text content information query platform. It provides a new path for Japanese text content information retrieval.

Current research status and clinical applications of noninvasive preimplantation genetic testing: A review.

Noninvasive preimplantation genetic testing (ni-PGT) is conducted by obtaining genetic information from embryos through the analysis of free DNA released by embryos in spent embryo culture medium or blastocoel fluid. Compared to conventional preimplantation genetic testing relying on trophectoderm biopsy, ni-PGT is characterized by its noninvasiveness. It has demonstrated early advancements in the detection of embryonic chromosomal aneuploidies and the diagnosis of monogenic diseases, showcasing considerable potential for clinical application. However, there are substantial controversies in the literature concerning the reliability of ni-PGT, the source of cell-free DNA, and maternal contamination. This paper elaborates on the principles, research advancements, effectiveness, and limitations of ni-PGT to provide a basis for clinical applications.

Bibliometric analysis of the inflammation expression after spinal cord injury: current research status and emerging frontiers.

Bibliometric analysis. To analyze literature on inflammatory expression following spinal cord injury, highlighting development trends, current research status, and potential emerging frontiers. Not applicable. Articles were retrieved using terms related to spinal cord injury and inflammatory responses from the Web of Science Core Collection, covering January 1, 1980, to May 23, 2024. Tools like CiteSpace and VOSviewer assessed the research landscape, evaluating core authors, journals, and contributing countries. Keyword co-occurrence analyses identified research trends. A total of 2504 articles were retrieved, showing a consistent increase in publications. The Journal of Neurotrauma had the highest publication volume and influence. The most prolific author was Cuzzocrea S, with Popovich PG having the highest H-index. China led in the number of publications, followed closely by the United States, which had the highest impact and extensive international collaboration. Research mainly focused on nerve function recovery, glial scar formation, and oxidative stress. Future research is expected to investigate cellular autophagy, vesicular transport, and related signaling pathways. The growing interest in inflammation caused by spinal cord injury is evident, with current research focusing on oxidative stress, glial scar, and neurological recovery. Future directions include exploring autophagy and extracellular vesicles for new therapies. Interdisciplinary research and extensive clinical trials are essential for validating new treatments. Biomarker discovery is crucial for diagnosis and monitoring, while understanding autophagy and signaling pathways is vital for drug development. Global cooperation is needed to accelerate the application of scientific findings, improving spinal cord injury treatment.

Visual Analysis of Research Status and Trends of Motivational Factors in Second Language Acquisition

Visual Analysis of Research Status and Trends of Motivational Factors in Second Language Acquisition

A Survey of the Routing Problem for Cooperated Trucks and Drones

The emerging working mode of coordinated trucks and drones has demonstrated significant practical potential in various fields, including logistics and delivery, intelligence surveillance reconnaissance, area monitoring, and patrol. The seamless collaboration between trucks and drones is garnering widespread attention in academia and has emerged as a key technology for achieving efficient and secure transportation. This paper provides a comprehensive and in-depth review of the research status on the routing problem for coordinated trucks and drones, covering aspects such as application background, cooperative modes, configurations, issues that have been taken into consideration, and solution methodologies.

Introducing palmfungi.org, an integrated fungal-host data platform.

Palm fungi are a diverse and unique group mostly found on Arecaceae hosts. They have been studied for approximately 200 years resulting in a large number of known fungal species representing over 700 genera. The timeline of palm fungal studies could be roughly divided into three phases, based on the methods and frequency of reports. They are the "Historical palm fungi era", "Classical palm fungi era" and "Molecular palm fungi era". In the first two periods, the identification of palm fungi was based on morphology, which resulted in a considerable number of morphological species scattered across the data in books, monographs and papers. With the advancement of molecular techniques, studies on palm fungi accelerated. A large number of new species were introduced in the molecular era, especially from Asia, including China and Thailand. However, there is a necessity to link these three generations of studies into a single platform combining data related to host factors, geography and utilisation. Herein, we introduce the palm fungi website: https://palmfungi.org, an integrated data platform for interactive retrieval, based on palm and fungal species. This website is not only a portal for the latest, comprehensive species information on palm fungi, but also provides a new platform for fungal researchers to explore the host-specificity of palm fungi. Additionally, this study uses palmfungi.org and related data to briefly discuss the current status of research on the distribution of palm fungi populations, showing how palmfungi.org links fungi with their palm hosts. Furthermore, the website will act as a platform for collaboration amongst taxonomists, plant pathologists, botanists, ecologists and those who are interested in palms and their relationship with ecological sustainability.

Bibliometric analysis of research trends on factors affecting older adults with mild cognitive impairment.

In recent years, the problem of cognitive impairment in the elderly has become increasingly prominent. Understanding the research trend of influencing factors of mild cognitive impairment, and provide reference for medical staff to early screening of the elderly with mild cognitive impairment. Through the visual analysis of the influence factors of the elderly with mild cognitive impairment, the current research status was discussed. The relevant literature in the field of influencing factors of mild cognitive impairment in the elderly included in the Web of Science core collection database from 2013 to 2022 was searched. Using software such as Cite Space and VOS viewer to visually analyze literature citations, country, keywords, and development trends. A total of 547 relevant literatures were included, and the number of publications showed an increasing trend in the past ten years. The United States ranked first in both the number of published papers (157) and centrality (0.34), and the United States and China had a greater influence on the influencing factors of mild cognitive impairment. Alzheimer's disease, cognitive decline, the elderly, risk factors, are the research hotspot in this field. Cognitive decline will affect the autonomy of the elderly. Cognitive frailty, MRI is the forefront of MCI research, to understand the research hotspots and frontiers in this field, to conduct early screening and intervention guidance for people with mild cognitive impairment, so as to delay the occurrence of Alzheimer's disease, and reduce the pressure on family caregivers and society.

A Brief Survey on Deep Learning-Based Temporal Knowledge Graph Completion

Temporal knowledge graph completion (TKGC) is the task of inferring missing facts based on existing ones in a temporal knowledge graph. In recent years, various TKGC methods have emerged, among which deep learning-based methods have achieved state-of-the-art performance. In order to understand the current research status of TKGC methods based on deep learning and promote further development in this field, in this paper, for the first time, we summarize the deep learning-based methods in TKGC research. First, we detail the background of TKGC, including task definition, benchmark datasets, and evaluation protocol. Then, we divide the existing deep learning-based TKGC methods into eight fine-grained categories according to their core technology and summarize them. Finally, we conclude the paper and present three future research directions for TKGC.

A Critical Review of Smart Residential Environment Research Focusing Human–Building Interaction

Most studies on smart residential environments have focused on adopting cutting-edge technologies rather than on user factors. There is little research on interaction with building technologies to support residents’ experiences in smart residential environments. This paper explores the current status of smart residential environment research from the human–building interaction perspective through a critical review of articles published in Q1 journals during 2013 to 2022. For our critical review, we developed an evaluation framework based on our definition of human–building interaction. Our results identified there are limitations in smart residential environments research: a lack of consideration of human-building interaction in the field of the built environment, an excessive focus on the user–technology interaction for performance, and less consideration of urban and architectural design issues regarding human–building interaction. To bridge the gap in the research, the three key points are discussed. Last, we propose a conceptual framework for designing and delivering improved smart residential environments, emphasizing the role of stakeholders in each smart residential environment lifecycle stage to achieve a balanced interaction between the three key elements: users, the built environment, and technologies.

Current status and prospects of research on main diseases of rubber trees

Current status and prospects of research on main diseases of rubber trees