Number Of Articles Research Articles

Mapping the trends of Peer-reviewed Research on Osseodensification

Mapping the trends of Peer-reviewed Research on Osseodensification

Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review.

Electronic health record (EHR) data are anticipated to inform the development of health policy systems across countries and furnish valuable insights for the advancement of health and medical technology. As the current paradigm of clinical research is shifting toward data centricity, the utilization of health care data is increasingly emphasized. We aimed to review the literature on clinical data quality management and define a process for ensuring the quality management of clinical data, especially in the secondary utilization of data. A systematic review of PubMed articles from 2010 to October 2023 was conducted. A total of 82,346 articles were retrieved and screened based on the inclusion and exclusion criteria, narrowing the number of articles to 851 after title and abstract review. Articles focusing on clinical data quality management life cycles, assessment methods, and tools were selected. We reviewed 105 papers describing the clinical data quality management process. This process is based on a 4-stage life cycle: planning, construction, operation, and utilization. The most frequently used dimensions were completeness, plausibility, concordance, security, currency, and interoperability. Given the importance of the secondary use of EHR data, standardized quality control methods and automation are necessary. This study proposes a process to standardize data quality management and develop a data quality assessment system.

3D Printing/Additive Manufacturing Technologies in Dentistry: A Bibliometric Study

Objective: The aim of this study was to present a bibliometric analysis of scientific articles about the additive manufacturing technologies in dentistry. Method: The papers published until 24 July 2023, were searched in Web of Science. The top 50 articles with the highest citations and suitable for the study subject were selected among the totally 604 articles. Results: The United States positioned first in the number of articles with a total of 13 articles. Most included articles were published in Journal of Prosthetic Dentistry (n=8), Dental Materials (n=6), Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry (n=5), and Materials (n=4). The most cited article was published in 2019 and the number of citations in Web of Science was 194. Conclusion: Additive manufacturing research presents a dynamic environment and is estimated to stay presenting high productivity and broad application in the future dentistry.

A note on the topic of single-author articles in science

Abstract It is now common practice for scientists to collaborate in teams and publish multi-author articles. Consequently, the number of single-author articles has been declining. This decline was assumed to follow an exponential model, which was verified using data from various research areas, including Engineering, Natural Sciences, Social Sciences, and Humanities and the Arts, for the period from 2000 to 2023. In the fields of Engineering and Natural Sciences, the number of co-authors has consistently increased over time. Conversely, in Social Sciences and Humanities & the Arts, single-author articles continue to prevail over multi-author ones. Single-author articles were evaluated based on the number of references and the ranking of the journals in which they were published. In the field of Theatre, most articles contained up to 20 references. However, in fields such as Chemical Engineering, Biology, and Economics, the majority of articles had between 20 and 60 references. In 2023, more than 25% of single-author articles in Metallurgy & Metallurgical Engineering, Economics, History, Law, Biology, Immunology, Mathematics, and Astronomy & Astrophysics were published in Q1 journals. This study provides an exploration of the scientific literature across selected research areas. It demonstrates that single-author articles are unlikely to disappear entirely, as individual researchers continue to pursue independent research and publication.

MITOCHONDRIAL METABOLISM AND HYPOXIC SIGNALLING IN DIFFERENTIATED HUMAN CARDIOMYOCYTE AC16 CELL LINE.

Cardiovascular diseases are associated with an altered cardiomyocyte metabolism. Due to a shortage of human heart tissue, experimental studies mostly rely on alternative approaches including animal and cell culture models. Since the use of isolated primary cardiomyocytes is limited, immortalized cardiomyocyte cell lines may represent a useful tool as they closely mimic human cardiomyocytes. This study is focused on the AC16 cell line generated from adult human ventricular cardiomyocytes. Despite an increasing number of articles employing AC16 cells, the comprehensive proteomic, bioenergetic and oxygen-sensing characterization of proliferating versus differentiated cells is still lacking. Here, we provide a comparison of these two stages, particularly emphasizing cell metabolism, mitochondrial function, and hypoxic signalling. The label-free quantitative mass spectrometry revealed a decrease in autophagy and cytoplasmic translation in differentiated AC16, confirming their phenotype. Cell differentiation led to the global increase in mitochondrial proteins (e.g. OXPHOS proteins, TFAM, VWA8, etc.) reflected by elevated mitochondrial respiration. Fatty acid oxidation proteins were increased in differentiated cells, while the expression levels of proteins associated with fatty acid synthesis were unchanged, and glycolytic proteins were decreased. There was a profound difference between proliferating and differentiated cells in their response to hypoxia and anoxia/reoxygenation. We conclude that AC16 differentiation leads to proteomic and metabolic shifts and altered cell response to oxygen deprivation. This underscores the requirement for proper selection of particular differentiation state during experimental planning.

Review and Inventory of Pedological and Stratigraphical Knowledge for Investigating Shallow Landslides: A Case Study of the Cervinara Area (Central Campanian Apennines, Southern Italy)

Landslides are one of the most serious problems affecting large parts of the world. There are two approaches that are used to study the organization of these land cover features: firstly, an approach utilizing lithostratigraphic tools, where soils are described and interpreted in accordance with specific geological/lithological patterns, and, secondly, through pedological instruments, where the pedogenetic patterns are identified, and the sequences are identified via standardized criteria and organized according to modern classification systems. In the present review, a comparison between the two above approaches is outlined, using the Campania Apennine reliefs (Southern Italy) as the reference environment because they are periodically and dramatically affected by mass movements mainly associated with rainfall events. These reliefs are strongly influenced by the products emitted by the Phlegraean Fields and the Somma–Vesuvius volcanoes. These products affect surface structures either through their direct alteration, with the formation of pedogenized products, or through their reworking, mainly stimulated by rainfall events, which is also responsible for the movement of pedogenized materials along the slopes. This results in complex surface architectures, knowledge of which is a crucial step in the assessment of robust monitoring systems. This review covers the Cervinara area, located in the central portion of the Campania Apennines, which was overwhelmed by dramatic landslide events in 1999. Our aims were to critically analyze the impact and the potential of lithostratigraphic and pedological approaches in studying the soils of the area in question and to provide an inventory of the scientific papers in which, with different aims, descriptions and interpretations of the local soil covers are reported. We examined and selected the national and international literature available in major scientific online databases, and these were split into groups on the basis of citations and type of approach. The reviewed literature showed that the stratigraphic approach was by far the most preferred, although significant potential was offered by pedological tools in this field of investigation. A high number of hydraulic and geotechnical articles was also found, in comparison to geological and pedological papers, which confirmed the significant levels of interest in the land cover type in question, specifically regarding landslide processes, and in their role in risk mitigation practices. On the whole, the latter approach has been proven to offer a greater exploration potential through the use of rigorous classification systems and, thus, the possibility of identifying and correlating soil properties over large areas.

Public health insurance for the elderly: an insight from bibliometric analysis.

The study examines worldwide public health insurance and ageing studies. This was accomplished by doing a thorough bibliometric analysis of publications published between 2002 and 2022 (till 31st May), which includes 479 articles for the analysis. This study used the Web of Science database to analyse the vast quantity of data from the journals referenced above. VOSviewer creates network maps, keyword concurrences and cross-country co-authorship. The research analyses parameters like article distribution by year and citation frequency to determine top publications. After that, co-authorship, country co-authorship and keyword co-occurrence bibliometric network maps are shown. The finding of the study reveals that the year 2020 is the most productive year for publication; BMJ Open is referred to as the most productive journal in this area, and "Depression in the Elderly" is the most referenced paper. The US has published the highest number of articles. We've seen 21 authors work with "Akishita and Ishizaki". The USA is the most collaborative author with other countries and conducted a keywords-based cluster analysis in which "Public health insurance, older adults and long-term care" are the most frequent keywords in this domain. This article aligns with the current literature on elderly public health insurance. The authors utilize bibliometric analysis to provide a more comprehensive and robust understanding of this area. Those interested in conducting further research in this field can use the findings of this study as a guide.

Sensitivity Parameters of Transport Networks and Vulnerability Assessment of Critical Network Elements

Network sensitivity has recently become an important topic, with an increasing number of articles appearing on the subject. Identification of critical sections within transport networks is also essential for transport modelling. A well-developed methodology can help to improve the network to minimize the impact on road users in the event of future emergency cases (accidents or attacks). For this purpose, existing articles were assessed to determine what progress has been made in network sensitivity and what parameters and approaches have been used so far. After reviewing the articles, it became clear that a significant number of methods have been used to identify critical sections, and it became visible which areas are worth further work. Among the methodologies used, simplified networks have been the main focus, but there is a need for a more detailed analysis based on industry demand and available data.

Visualization and Analysis of Domestic Research on Language Economics based on Citespace Knowledge Mapping

Linguistic economics is a cross-discipline of linguistics and economics, which adopts the theories, methods and tools of economics to study language and speech behaviours as universal social and economic phenomena, and it is an integrated study of language and economic issues, which transcends the limitations of the previous sub-divisions and reflects a new paradigm of contemporary scientific exploration. However, the review and analysis of related research progress in China is not sufficient. Therefore, based on the theory of bibliometrics, this paper takes the literature related to linguistic economics in the core journals of China Knowledge Network (CNN) CSSCI and Beida as the object of research, and analyses the year, author, institution, and keywords of the literature visually with the help of the CiteSpace Knowledge Mapping tool, in order to explore the current situation of the research on linguistic economics and the hot frontiers of the research in China, with a view to providing a good basis for the subsequent research.In particular, in terms of multimodal information fusion, geospatial analysis, and the combination of language industry and tourism, it can directly guide the construction of Guilin case corpus and the design of application scenarios. The results show that: (1) From the annual trend of the number of articles published, the overall development is slow and unstable, except for the golden period of development, which is booming. (2) From the perspective of the authors, among them, Huang Shao'an, Zhang Weiguo, Su Jian and Liu Guohui are the leaders in the field of linguistic economics in China, and the four of them are in a relationship of master and apprentice, with close co-operation. (3) From the perspective of issuing institutions, the position in the field of language economics is higher education institutions, and the key position is in Shandong University. (4) From the point of view of research hotspots, ‘language industry’, ‘language’, ‘language economy’ and so on have been widely and persistently concerned. (5) From the perspective of research trend, ‘human capital’ has great potential for development in recent years.

Less is better: role of adjuvants.

To update published data about adjuvants and examine their evolution in use over the last 2 years. This scoping review highlights current and updated published evidence on using adjuvants and future research directions.Regional techniques (including peripheral nerve blocks) have become relevant for pain relief and postoperative quality recovery. Examples of adjuvant drugs for regional techniques include dexamethasone, alpha-2 agonists, buprenorphine, ketamine, magnesium, and so on. Adding adjuvants we can modify the characteristics of the blocks. We have made significant progress in understanding the mechanism of action of specific adjuvants, and we made a summary. Considering the review above, it can be observed that there has been an increasing trend in recent years to publish articles on dexmedetomidine; however, interest in dexamethasone may wane because of the moderate evidence. It is interesting to note that there has been an increase in the number of studies involving the use of opioids as adjuvants. All adjuvants have shown different levels of efficacy.Understanding the role of adjuvants is crucial to better pain control, as well as using a less local anaesthetic or less analgesic drugs. Despite the increasing number of articles on dexmedetomidine, the evidence remains lower than that for dexamethasone.

Hyaluronic acid delayed filler complications: a racial group analysis and call to action.

Injectable cosmetic treatments, especially hyaluronic acid (HA) fillers, constitute over 90% of cosmetic procedures in the U.S. These fillers can cause delayed complications in patients. Given the structural differences in skin of color (SOC) patients compared to those with lighter skin types, this study aims to report the incidence of these complications across different racial and skin types. This study reviewed published literature examining delayed complications of hyaluronic acid fillers occurring across different races, ethnicities, and skin types. A PubMed search in April 2024 identified studies using specific search terms related to HA fillers and delayed complications. A limited number of articles discussed race, ethnic background or skin type when reporting HA delayed filler complications. The literature reflected differences in the rates at which AEs were reported based on patient reported race. However, to determine the true incidence of HA delayed filler complications across race and ethnic backgrounds, efforts should be made to include full demographic information in reporting these events in the literature.

Spatio-Temporal Graphs in Transportation: Challenges, Optimization, and Prospects

Intelligent and information systems in transportation record and accumulate large volumes of raw data on dynamic transportation processes. However, these data are not fully utilized for forecasting, real-time planning, and transportation management. Spatio-temporal graphs allow describing simultaneously both the structure of transportation systems of different modes of transportation and the dynamics of transportation flows. Optimization of such graphs makes it possible to justify management decisions in real time, as well as to forecast the parameters of traffic flows and transportation processes. The purpose of the study is to identify trends in the use of spatio-temporal graphs for solving various problems in transportation, as well as the most common methods of optimization of such graphs. The sample papers studied include 114 publications from the Scopus database over 25 years, from 1999 to 2024. First, a bibliometric analysis was conducted to establish the increase in the number of publications, journals, countries, institutions, subject areas, articles, authors, and keyword matches, to understand the amount of literature generated. Secondly, a literature review was conducted based on content analysis to predict future research directions in the field. We have found that the development of deep learning methods and approaches for designing graph neural networks based on spatio-temporal graphs is a promising direction. Such methods are mostly used to solve the tasks of real-time control of urban transportation systems. There are fewer publications in areas that require in-depth knowledge of transportation technology, such as air, sea, and rail transportation. This study contributes to the expansion of scientific knowledge about methods of spatio-temporal optimization of transport systems based on bibliometric analysis.

Global Scientific Trends in the Use Of Mesenchymal Stem Cells for the Treatment of Diabetes Mellitus from 2000 to 2023: A Bibliometric Study.

Diabetes mellitus is a chronic disease that seriously endangers human health, and mesenchymal stem cell [MSC] therapy is an emerging medical approach. Therefore, analyzing the effectiveness of MSCs in the literature is highly important for building relevant knowledge networks and promoting development in this field. The Web of Science database was selected as the source of literature, and all the literature on MSCs in diabetes from January 1, 2000, to October 18, 2023, was selected. After screening, CiteSpace and VOSviewer were imported into bibliometric software to construct the knowledge visualization map. Journal analysis, author analysis, country/region analysis, reference analysis, and keyword analysis were performed. A total of 2912 articles and reviews were included. The number of articles on the use of MSCs for the treatment of diabetes is increasing annually. These publications originate mainly from 90 countries and 278 institutions, of which China and the United States were the top producers. We identified 15384 authors, with Liu Jiejie having the largest number of articles and Shapiro Amj being the most frequently co-cited. Stem Cell Res Ther was the most studied journal, and Diabetes was the most frequently cited journal. After analysis, the most common keywords were MSCs, diabetes mellitus, expression, transplantation, and differentiation. Research into MSC-based interventions for diabetes is booming. In the future, cooperation and connections between various countries and institutions should be strengthened. MSCinduced differentiation into insulin-producing cells, MSCs homing in vivo, the therapeutic effect of MSCs on diabetic nephropathy, and the therapeutic effect of exosomes secreted by MSCs constitute the current research hotspots and development trends for future research.

A survey on the determination of diagnostic reference levels in analog and digital radiography in Iran: a systematic literature review.

Although ionizing radiation plays a key role in both diagnosis and treatment, it brings potential risks, including incidence of cancer. Diagnostic Reference Level (DRL) is described as a tool to optimize the protection in the medical exposure for diagnostic procedures. The objective of this study is to propose a new method to calculate DRL by reviewing a series of articles which are published on the DRL in radiography. The study analyzed 16 articles in the last ten years including published data on National and Local DRLs. The weighted mean method was used to propose unique quantities such as the entrance skin dose (ESD) or Entrance Surface Air Kerma (ESAK), and dose area product (DAP) as national DRL. The results showed that there were differences in dose values among diagnostic radiology centers for different examinations. The study provides valuable information to calculate national DRL. The weighted mean of the ESD or ESAK and DAP values has been proposed as a new method for calculating national DRL values, which is considered the significant difference in statistical population and number of articles.

Modeling the Knowledge Production Function Based on Bibliometric Information

An integral indicator of the development of society is the amount of knowledge, which can be measured by the number of accumulated publications in the form of patents, articles, and books. Knowledge production is examined on a global scale. We analyze existing econometric models and develop a generalized model that expresses the per capita knowledge production rate (called productivity) as a function of the amount of accumulated knowledge. The function interpolates two extreme cases, the first of which describes an underdeveloped society with very little knowledge and non-zero productivity, and the second, a highly developed society with a large amount of knowledge and productivity that grows according to a power law as knowledge accumulates. The model is calibrated using literature data on the number of patents, articles, and books. For comparison, we also consider the rapid growth in the global information storage capacity that has been observed since the 1980s. Based on the model developed, we can distinguish between two states of society: (1) a pre-information society, in which the knowledge amount is below a certain threshold and productivity is quite low, and (2) an information society with a super-threshold amount of knowledge and its rapid accumulation due to advanced computer technologies. An analysis shows that the transition to an information society occurred in the 1980s.

Evolution and Impact of Imine Reductases (IREDs) Research: A Knowledge Mapping Approach.

Nitrogen-containing compounds, particularly those with chiral amine structures, play a crucial role in the development of organic active pharmaceutical ingredients. Imine reductases (IREDs), NAD(P)H-dependent enzymes that catalyze the reduction of cyclic imines and the reductive amination of prochiral ketones, offer significant industrial potential for the synthesis of chiral amines. However, despite the growing body of research, a comprehensive and unbiased assessment of IRED research remains lacking. This study aims to explore the research landscape and evolution of IREDs using bibliometric and knowledge mapping methods. A total of 239 research articles and reviews on IREDs, published between 2010 and 2024, were retrieved from the Web of Science Core Collection and analyzed using tools such as CiteSpace, VOSviewer, Pajek, and Scimago Graphica. Results showed a consistent increase in both publications and citations, with a sharp rise since 2014. Collaboration network analysis revealed that the United Kingdom leads the field in terms of publications and influential institutions, while ChemCatChem was identified as the journal with the highest number of articles. Nicholas J. Turner emerged as a key researcher, having published the most papers and achieving the second-highest citation frequency. Research trends and keyword analysis highlighted areas of focus such as IRED crystal structure resolution, protein engineering modifications, and expanded industrial applications, including multi-enzyme cascade reactions. Ongoing advancements in synthetic biology, protein modifications, and enzyme engineering are expected to drive further studies on highly active IREDs for asymmetric synthesis of pharmaceutical compounds, positioning this research at the forefront of the field. By employing bibliometric analysis, this study provides the first visual representation of IRED research, offering valuable insights into current trends and emerging topics that will aid scholars in identifying key research areas and potential collaborators.

Synthesis, Characterization, Magnetic Properties, and Applications of Carbon Dots as Diamagnetic Chemical Exchange Saturation Transfer Magnetic Resonance Imaging Contrast Agents: A Review.

Carbon dots (CDs) are metal-free carbon-based nanoparticles. They possess excellent photoluminescent properties, various physical properties, good chemical stability, high water solubility, high biocompatibility, and tunable surface functionalities, suitable for biomedical applications. Their properties are subject to synthetic conditions such as pH, reaction time, temperature, precursor, and solvent. Until now, a large number of articles on the synthesis and biomedical applications of CDs using their photoluminescent properties have been reported. However, their research on magnetic properties and especially, diamagnetic chemical exchange saturation transfer (diaCEST) in magnetic resonance imaging (MRI) is very poor. The diaCEST MRI contrast agents are based on exchangeable protons of materials with bulk water protons and thus, different from conventional MRI contrast agents, which are based on enhancements of proton spin relaxations of bulk water and tissue. In this review, various syntheses, characterizations, magnetic properties, and potential applications of CDs as diaCEST MRI contrast agents are reviewed. Finally, future perspectives of CDs as the next-generation diaCEST MRI contrast agents are discussed.

Active Learning Models to Screen Articles as Part of a Systematic Review of Literature on Digital Tools in Food Safety.

Active Learning Models to Screen Articles as Part of a Systematic Review of Literature on Digital Tools in Food Safety.

Research Hotspots of Interferon Gamma in the Treatment of Lung Cancer: A Bibliometric Analysis Based on CiteSpace.

Interferon-gamma (IFN-γ) is an important cytokine associated with antitumor immunity and has been implicated in the pathogenesis and progression of lung cancer. Nevertheless, no bibliometric analyses have been published in this field to date, and thus we aim to address this gap in knowledge. A search of the Web of Science (WOS) for literature related to the treatment of lung cancer with IFN-γ was conducted from 2002 to 2024. The extracted information from the included articles was subjected to visual analysis, and network diagrams were generated using software such as CiteSpace and VOSviewer. In total, 589 articles related to the treatment of lung cancer with IFN-γ were included in WOS between 2002 and 2024. The number of articles and citation frequency generally showed an increasing trend year by year. The United States and the University of California are the countries and institutions with the largest number of articles. The researcher who made the largest contribution to this field was Xin Cai from China (6). The Journal for ImmunoTherapy of Cancer published the largest number of relevant papers in the field (16 papers, IF = 12.469). The research hotspots in the field of immune escape in recent years have been IFN-γ, mechanism, immune checkpoints, and microtumor inhibitors. The field of IFN-γ treatment of lung cancer is evolving at a rapid pace. The current research focus within this field is on elucidating the mechanism of IFN-γ treatment of lung cancer, investigating the role of immune checkpoint inhibitors, and examining the tumor microenvironment and other pertinent topics.

Experience in implementing effective programs of colorectal cancer screening for the development of an appropriate model in Ukraine - a literature review.

Aim: To explore the potential for preventing cancer development through CRC screening programmes. Materials and Methods: A number of foreign articles, international guidelines were analysed using PubMed, Google Scholar, Web of Science, and information from national government websites about the aspects of CRC screening programmes in countries with high rates of participation of the average-risk population as well as the stages of their implementation for national colorectal cancer screening program development in Ukraine. Conclusions: The final goal of CRC screening is to decrease mortality by detecting disease at an early stage, which increases treatment effectiveness and provides a better prognosis, as well as reducing incidence in the long term. This decrease in CRC incidence is the result of massive detection of early asymptomatic cases before they progress to later stages.