Core Collection Research Articles

Artificial Intelligence in Accessible Museums

This research aims to conduct a bibliometric analysis of published research on the use of artificial intelligence in accessible museums in the Web of Science Core Collection database. Through bibliometric research, the general framework of research on specific subject areas can be determined. A total of 30 articles were reached in the research. The research findings were analyzed and visualized through the "Analyze Results" option provided in the WOS viewer and Bibliometric tool and ten articles were selected from a systematic review. The findings of the research revealed that research on the use of "artificial intelligence in accessible museums" started in 1997, and then continued to be published with an increase in 2017 after a twenty-year break. The year with the most publications was 2022. The vast majority of research has been published in English. Research on this topic has also been published across Europe. Research has been widely disseminated in the USA, Italy, Spain, France, Romania, India, Bulgaria, Greece, and the Netherlands. However, the majority of the research is indexed in Springer and some in IEEE and MDPI. Most of the studies were prepared in the form of papers and some of them were prepared in the form of articles. Finally, the findings reveal that the research prepared on this subject has been addressed every year since 1997 with the keyword "artificial intelligence" until 2022, while the keyword "cultural heritage" has been mostly used since 2008. As a result, the results obtained from the bibliometric research show that the use of artificial intelligence in museums has become increasingly widespread year by year.

A bibliometric analysis of global research on short chain fatty acids in neurological diseases.

The interest on short chain fatty acids (SCFAs) regulating the progress of neurological diseases has gained significant attention in recent years. This bibliometric analysis aimed to provide insights into the current state and future trends of global research on SCFAs in neurological research. To analysis the general trend of publications, the scientific output in this field from 1995 to 2024 was first retrieved from the Web of Science Core Collection, Scopus, and PubMed with SCFAs-related and neurological diseases related terms as the subjects. Based on above publication analysis, rapid development stage was marked as 2016 to 2024 and 878 relevant original articles in rapid development stage was retrieved with the time limit from 2016 to 2024. Key bibliometric indicators were calculated and evaluated using CiteSpace with these 878 articles. SCFAs are related to the occurrence and development of neurological diseases. China and the USA have contributed in a significant way to foster a better understanding on SCFAs in neurological diseases. The hot theme of research have gradually shifted from neurodegenerative diseases to psychical diseases. In the aspect of mechanism research, the current hotspot is inflammation. SCFAs are able to modulate oxidative stress and microglia maturation, morphology and function to intervene in the development of neurological diseases and thus SCFAs interventions are promising to treat neurological diseases. 2016 to 2024 is the fast-developing stage in this field. In this stage the publications dramatically increased and were of high quality. SCFAs in neurological research will continue to be an active area in the near future. Future trends might be correlation analysis and neurotherapeutics of SCFAs on patients with psychical diseases and deeper mechanism research is still needed.

Graph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications

Graph neural networks (GNNs) are deep learning algorithms that process graph-structured data and are suitable for applications such as social networks, physical models, financial markets, and molecular predictions. Bibliometrics, a tool for tracking research evolution, identifying milestones, and assessing current research, can help identify emerging trends. This study aims to map GNN applications, research directions, and key contributors. An analysis of 40,741 GNN-related publications from the Web Science Core Collection reveals a rising trend in GNN publications, especially since 2018. Computer Science, Engineering, and Telecommunications play significant roles in GNN research, with a focus on deep learning, graph convolutional networks, neural networks, convolutional neural networks, and machine learning. China and the USA combined account for 76.4% of the publications. Chinese universities concentrate on graph convolutional networks, deep learning, feature extraction, and task analysis, whereas American universities focus on machine learning and deep learning. The study also highlights the importance of Chemistry, Physics, Mathematics, Imaging Science & Photographic Technology, and Computer Science in their respective knowledge communities. In conclusion, the bibliometric analysis provides an overview of GNN research, showing growing interest and applications across various disciplines, and highlighting the potential of GNNs in solving complex problems and the need for continued research and collaboration.

Sex Differences in Neuropsychiatric Symptoms in Alpha-Synucleinopathies: A Systematic Review and Meta-Analysis.

Alpha-synucleinopathies, such as Parkinson's disease (PD), Parkinson's disease dementia (PDD), and dementia with Lewy bodies (DLB), demonstrate sex differences with regard to prevalence, age of onset, and motor manifestations. Neuropsychiatric symptoms (NPS) are common early and late manifestations of these disorders. We aimed to describe sex differences in NPS across alpha-synucleinopathies. We searched Web of Science Core collection databases to identify observational studies published between January 1, 2000, and June 1, 2022, reporting the prevalence or severity of NPS among individuals with a diagnosis of PD, PDD, or DLB. Prevalence and severity were pooled for each NPS according to sex using random-effects models. Two-hundred-and-forty studies, representing 796,026 participants (45% females), were included in the meta-analysis. Female sex was associated with a higher prevalence of anxiety (OR = 1.60 [95% CI: 1.40, 1.82]), depression (OR = 1.56 [1.45, 1.67]), fatigue (OR = 1.21 [1.02, 1.43]), and psychotic symptoms (OR = 1.26 [1.14, 1.40]) and more severe anxiety (g = 1.35 [95% CI: 0.58, 2.13]), depression (g = 1.57 [1.05, 2.08]), and fatigue (g = 0.86 [0.41, 1.32]), while male sex was associated with a higher prevalence of apathy (OR = 0.77 [0.63, 0.93]), impulse control disorders (OR = 0.67 [0.55, 0.82]), REM sleep behavior disorder (OR = 0.54 [0.42, 0.70]), hypersomnolence (OR = 0.67 [0.56, 0.80]), and suicide (OR = 0.30 [0.20, 0.44]). NPS have different prevalences and severities in alpha-synucleinopathies according to sex. These findings support consideration of sex in the elaboration of clinical tools.

Bibliometric analysis of the interplay between epilepsy and microglia: trends, hotspots, and emerging research areas.

Epilepsy, a common neurological disorder, has been increasingly associated with neuroinflammation, especially microglia activation. To gain insights into the research trends and patterns in this intersection, we conducted a bibliometric analysis of studies published between 2005 and 2024. Using the Web of Science Core Collection, we identified 1,229 relevant articles and reviews, focusing on the relationship between epilepsy and microglia. We employed the Bibliometrix R package and VOSviewer to analyze the data. Our search strategy combined epilepsy-related terms with microglia and microglial cell keywords. The analysis encompassed publication trends, country and institutional contributions, journal sources, authors, keywords, and thematic evolution. The number of publications has steadily increased, particularly after 2019, indicating growing research interest. The United States, China, and Germany emerged as the most productive countries, with extensive collaboration between China and the United States. Epilepsia and Journal of Neuroinflammation were the most influential journals. Aronica E, Vezzani A, and Engel T were the most prolific authors. Thematic analysis revealed clusters focused on temporal lobe epilepsy, epilepsy-related disorders, and microglia activation. Over the past several years, research has shifted from fundamental brain function studies to in-vivo investigations of specific molecular mechanisms. The CSTB (-) mouse model and NF-κB signaling pathway both merit further in-depth investigation. In conclusion, this bibliometric study reveals a surge in epilepsy-microglia research, led by key countries, journals, and researchers. Temporal lobe epilepsy, epilepsy-related disorders, and microglia activation are focal themes. Future directions include exploring microglia activation mechanisms, utilizing animal models, and interdisciplinary approaches.

Global perspective of ecological risk of plastic pollution on soil microbial communities.

The impacts of plastic pollution on soil ecosystems have emerged as a significant global environmental concern. The progress in understanding how plastic pollution affects soil microbial communities and ecological functions is essential for addressing this issue effectively. A bibliometric analysis was conducted on the literature from the Web of Science Core Collection database to offer valuable insights into the dynamics and trends in this field. To date, the effects of plastic residues on soil enzymatic activities, microbial biomass, respiration rate, community diversity and functions have been examined, whereas the effects of plastic pollution on soil microbes are still controversial. To include a comprehensive examination of the combined effects of plastic residue properties (Type, element composition, size and age), soil properties (soil texture, pH) at environmentally relevant concentrations with various exposure durations under field conditions in future studies is crucial for a holistic understanding of the impact of plastic pollution on soil ecosystems. Risk assessment of plastic pollution, particularly for nanoplasctics, from the perspective of soil food web and ecosystem multifunctioning is also needed. By addressing critical knowledge gaps, scholars can play a pivotal role in developing strategies to mitigate the ecological risks posed by plastic pollution on soil microorganisms.

Trends of Copper Homeostasis in Neoplasms: A Systemic Bibliometric from 2013 to 2023.

Copper dysregulation is pivotal in tumorigenesis. This study aimed to elucidate the knowledge framework of copper homeostasis within neoplasms utilizing bibliometric analysis. Publications about copper homeostasis in neoplasms from 2013 to 2023 were retrieved from the Web of Science Core Collection and PubMed databases. The bibliometric analysis was conducted using the RStudio, the CiteSpace software, the VOSviewer software, and a bibliometric analysis platform. A total of 1701 articles were indexed from 73 countries and regions. China has emerged as the leading country with a publication proportion of 32.45%, followed by the USA (10.35%) and India (8.41%). Significant collaborations have been conducted among Chinese academic institutions. The Journal of Inorganic Biochemistry emerged as the most prominent journal. Among the 4841 keywords extracted from 671 journals, concepts of cell death, positron emission tomography, and tumor microenvironment emerged as the most significant hotspots. This bibliometric study reviewed significant academic development and synthesized research trends on copper homeostasis in neoplasms, providing a valuable reference for scholars.

Impacts from air pollution on respiratory disease outcomes: a meta-analysis.

Air pollution is widely acknowledged as a significant factor in respiratory outcomes, including coughing, wheezing, emergency department (ED) visits, and even death. Although several literature reviews have confirmed the association between air pollution and respiratory outcomes, they often did not standardize associations across different studies and overlooked other increasingly impactful pollutants such as trace metals. Recognizing the importance of consistent comparison and emissions of non-exhaust particles from road traffic, this study aims to comprehensively evaluate the standardized effects of various criteria pollutants and trace metals on respiratory health. We conducted a comprehensive meta-analysis of peer-reviewed journal articles on air pollution and respiratory outcomes published between 1 January 2000, and 1 June 2024. The study included children (age < 18 years), adults (age ≥ 18 years), and all age groups exposed to criteria pollutants established by the US Environmental Protection Agency National Ambient Air Quality Standards and over 10 trace metals. Using databases, such as PubMed, MEDLINE, Web of Science Core Collection, and Google Scholar, we identified 579 relevant articles. After rigorous screening and quality assessment using the Newcastle-Ottawa Scale, 50 high-quality studies were included. We converted various reported outcomes (e.g., odds ratios, relative risk, and percent increase) to a standardized odds ratio (OR) for comparability and performed meta-analyses using R 4.4.0 and related packages, ensuring the robustness of our findings. Our meta-analysis indicated significant associations between air pollutants and respiratory outcomes. For particulate matter with diameter ≤ 2.5 μm (PM2.5), the overall ORs for children, adults, and combined age groups were 1.31, 1.10, and 1.26, respectively, indicating a consistent positive association. Similar positive associations were observed for particulate matter with diameter ≤ 10 μm (PM10) and other pollutants, with children showing higher susceptibility than adults. The analysis of trace metals also showed significant associations; however, these findings require cautious interpretation due to the small number of studies. Our study supports associations between air pollutants, including non-exhaust trace metals, and respiratory outcomes across different age groups. The findings underscore the need for stringent environmental health policies and further research, especially in regions with higher pollution levels. The future studies should consider long-term and short-term exposures separately and include diverse populations to improve the accuracy and generalizability of the results.

Trends and hotspots in the field of diabetic retinopathy imaging research from 2000-2023.

Diabetic retinopathy (DR) poses a major threat to diabetic patients' vision and is a critical public health issue. Imaging applications for DR have grown since the 21st century, aiding diagnosis, grading, and screening. This study uses bibliometric analysis to assess the field's advancements and key areas of interest. This study performed a bibliometric analysis of DR imaging articles collected from the Web of Science Core Collection database between January 1st, 2000, and December 31st, 2023. The literature information was then analyzed through CiteSpace. The United States and China led in the number of publications, with 719 and 609, respectively. The University of London topped the institution list with 139 papers. Tien Yin Wong was the most prolific researcher. Invest. Ophthalmol. Vis. Sci. published the most articles (105). Notable burst keywords were "deep learning," "artificial intelligence," et al. The United States is at the forefront of DR research, with the University of London as the top institution and Invest. Ophthalmol. Vis. Sci. as the most published journal. Tien Yin Wong is the most influential researcher. Hotspots like "deep learning," and "artificial intelligence," have seen a significant rise, indicating artificial intelligence's growing role in DR imaging.

Pharmacological treatment of postoperative recurrence of Crohn's disease: Protocol for systematic review and network meta-analysis.

Crohn's disease (CD) is a chronic inflammatory condition primarily affecting the digestive system. When dealing with complex cases like intestinal blockages or perforations, surgery becomes the primary treatment option. However, surgery doesn't offer a complete cure, and the possibility of recurrence remains. To manage CD recurrence after surgery, various treatment choices are available, including steroids, monoclonal antibodies, immunomodulators, and further surgery. Regrettably, the current body of evidence doesn't definitively establish which of these treatments is the most effective and safe. Thus, our research aims to provide insights into the Validity and security of different treatment approaches for managing CD recurrence after surgery. Search of EMBASE, PubMed, Web of Science Core Collection and the Cochrane Central Register of Controlled Trials will be conducted to include researches that examine the validity of treatments for recurrent CD after surgery. Our analysis will distinguish between two types of studies: randomized controlled trials (RCTs) and non-randomized studies with at least two different treatments, each evaluated separately. We will employ Bayesian network meta-analyses to systematically compare the effectiveness and safety of these treatments. Additionally, subgroup analyses will be performed according to recurrence status and postoperative prophylactic medication. To clarify the variation of studies, sensitivity analyses will be performed. And we may use meta-regression as an additional approach if relevant data are available. We will also rigorously access the certainty of evidence using the Grading of Recommendations, Assessment, Development, and Evaluation framework. This analysis will provide a comprehensive assessment of the latest evidence on available treatments for patients with postoperative recurrence of CD, which will provide recommendations for clinical practice. Systematic review registration INPLASY2023110021. (DOI: 10.37766/inplasy2023.11.0021).

Scoping review of epigenetics on neurodegenerative diseases: research frontiers and publication status.

Epigenetics has significantly evolved and emerged as important players in the pathogenesis of neurodegenerative diseases. However, a scientometric synthesis of such changes over time is currently lacking. We conducted a comprehensive search of the Web of Science Core Collection from inception until November 5, 2022, using appropriate keywords. Our primary objective was to employ scientometric analysis to depict changes in keywords over time and to assess the structure and credibility of clusters. Additionally, we examined the network of research (countries, institutions, and authors) using CiteSpace and VOSviewer. We identified 25 clusters with well-structured networks (Q = 0.82) and highly credible clustering (S = 0.91) from 16,181 articles published between 1999 and 2022. Our findings are as follows: (a) the literature and research interest concerning the epigenetics of neurodegenerative diseases are continuously growing; (b) the three most productive countries are the USA, China, and Germany; (c) international collaborative relationships exist, alongside small, isolated collaboration networks of individual institutions. The number and impact of global publications on the epigenetics of neurodegenerative diseases have expanded rapidly over the past 20 years. This review provides valuable guidelines for researchers interested in neurodegenerative diseases research.

Global research trends and hotspots in metabolomics of osteosarcoma: a decade-spanning bibliometric and visualized analysis.

Osteosarcoma is a malignant tumor originating from the bones, commonly found in children and adolescents, especially in rapidly growing bone areas such as the knees and upper arms. In this study, we aim to delineate the evolution and convergence of research themes in osteosarcoma metabolomics over the past decade, identify major contributors, and forecast emerging trends that could direct future research efforts. The bibliometric method has been applied to systematically analyze the literature in the field of osteosarcoma metabolomics. The relevant literatures were collected from the Web of Science Core Collection, spanning from January 1, 2014, to December 31, 2023. Tools such as CiteSpace, Bibliometrix, and VOSviewer were used for the visual analysis of the collected literatures. The focused information includes institutions, journals, countries, authors, keywords, and citations. Various aspects in the field of osteosarcoma metabolism were analyzed. Shanghai Jiao Tong University has published the most papers in the past ten years, followed by Central South University and Zhejiang University. Among the sources, the international journal of molecular sciences publishes the most articles, and oncotarget is the journal with the highest H index. According to Bradford's law, there are 34 core journals identified. A total of 5501 authors participated in the creation of papers in this field. The distribution of authors follows Lotka`s Law, and 85.3% of authors have only one article. 46% of the corresponding authors are from China, but most of these corresponding authors are not good at international cooperation. China also has the largest number of publications, followed by the United States. It can be confirmed that China dominates this field. Among the keywords, "expression" is the keyword that has received the most attention in the past ten years. All keywords can be divided into 9 clusters. Based on the explosive words and hot topics each year, we speculate that future research will focus on the tumor microenvironment, molecular mechanisms and autophagy, targeted therapies and inhibitors. In summary, this study comprehensively analyzed the current state of research in the field of osteosarcoma metabolism through bibliometric methods. The findings revealed the development trends and research hotspots in this field, which may provide valuable references for future research directions.

Global trends and performance of dry needling from 2004 to 2024: a bibliometric analysis.

Many doctors are incorporating dry needling into their clinical practice. Despite this growing trend, there has not been a comprehensive bibliometric analysis conducted in this field. Thus, this study aims to investigate the current research landscape, key research contributors, and popular research topics in dry needling, and to analyze the developmental trends within this area of study. The study utilized the Web of Science Core Collection (WoSCC) as the main data source. Scientific literature was gathered through title (TI) searches for original clinical research papers on dry needling published between 2004 and 2024, using 'dry needling' or 'dry needle' as the search term. Statistical analyses and visualizations of the literature information, such as keywords, countries, research institutions, and authors, were conducted using the bibliometric.com online platform and VOSviewer. This approach aimed to statistically analyze and visualize the key research entities, hotspots, and frontiers in dry needling research. Additionally, the study delved into collaborative networks, research outputs, hot topics, and trends within the field of dry needling. This investigation encompassed 468 publications, with the year 2021 topping the charts for the highest publication output, amassing a total of 271 articles. The journal "Acupuncture in Medicine" emerged as the most frequently cited publication. The most impactful article was titled "Acupuncture and dry-needling for low back pain: An updated systematic review within the framework of the Cochrane Collaboration." Spain took the lead as the most productive country in this domain, with the United States closely following. Cesar Fernández-de-las-Peñas emerged as the most prolific author in the field. The Universidad Rey Juan Carlos in Spain was recognized as the most productive institution for research in dry needling. As for journal keywords, "dry needling," "trigger point," and "myofascial pain syn-drome" were the triumvirate of terms most recurrently encountered. The field of dry needling research has witnessed significant growth in recent years, characterized by the emergence of novel trends such as comparative studies with acupuncture, exploration into the mechanisms of action, and a transition toward interdisciplinary approaches. As medical models evolve, the focus is expanding from the exclusive treatment of muscle pain to broader applications. Despite this progress, the domain is underscored by a paucity of large-scale, multicenter clinical trials and animal studies. There exists an imperative for enhanced collaboration among academic and research institutions. A more profound exploration and comprehensive research endeavors are essential to enhance our understanding and broaden the clinical application of dry needling techniques.

A Bibliometric Analysis of Green Shipping: Research Progress and Challenges for Sustainable Maritime Transport

This paper aims to systematically review and analyze the literature on green shipping, focusing on research trends, key areas, and future directions. A bibliometric analysis is conducted on 1339 articles published between 2000 and 2023, using data from the SCI-EXPANDED and SSCI core collections on the Web of Science platform. Co-occurrence analyses are performed for authors, countries, institutions, and keywords. The analysis reveals exponential growth in green shipping research over the past decade, with a significant increase since 2019. China leads in publication output and international collaboration. Key research areas identified include sustainable development, green energy, green ports, and green supply chain management. Green shipping research is rapidly expanding, emphasizing sustainable practices and technological advancements. Future research is expected to integrate artificial intelligence, big data analytics, and other advanced technologies to further promote sustainability. Strengthening international cooperation and interdisciplinary integration will be crucial for advancing the global green shipping agenda.

Past, Present, and Future of Liver-Brain Axis in Alzheimer's Disease: ABibliometric Review.

No effective drugs currently exist to cure Alzheimer's disease (AD) due to its complexity and the lack of understanding of the involved molecular signaling and pathways. The relationship between liver health and AD is now widely recognized. Still, molecular links and shared pathways between the liver and brain remain unclear, making the liver-brain axis in AD therapies a new area for exploration. However, bibliometric studies on this topic are lacking. This study aims to review the liver-brain axis in AD and identify future research hotspots and trends through bibliometric analysis. Articles and reviews related to AD and liver and its related diseases were searched in the Web of Science Core Collection (WoSCC) database up to 2024. Data were processed and visually analyzed using VOSviewer, CiteSpace, and Pajek. We collected 1,777 articles on AD and liver and its related diseases from 2,517 institutions across 80 countries. Keyword cluster analysis identified 11 clusters, with 'insulin resistance,' 'amyloid-beta,' 'apolipoprotein-E,' 'oxidative stress,' and 'inflammation' appearing most frequently, and exhibiting strong total link strength. These results indicate that these topics have been the primary focus of research on the liver-brain axis in AD. This study is the first to comprehensively analyze the liver-brain axis in AD using bibliometric methods. The research results identify recent research frontiers and hotspots, aiding scholars in gaining a deeper understanding of the correlation between AD and the liver.

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.

Resveratrol's bibliometric and visual analysis from 2014 to 2023.

Resveratrol (RSV) is a natural polyphenolic compound derived from a variety of plants that possesses a wide range of biological activities, including antioxidant, anti-inflammatory, antitumor, antibacterial, antiviral, anti-aging, anti-radiation damage, anti-apoptosis, immune modulation, regulation of glucolipid metabolism, inhibition of lipid deposition, and anti-neuro. It is therefore considered a promising drug with the potential to treat a wide range of diseases. In this study, using Web of Science Core Collection (WoSCC) and CiteSpace bibliometric tool, VOSviewer quantitatively visualized the number of countries, number of authors, number of institutions, number of publications, keywords, and references of 16,934 resveratrol-related papers from 2014-2023 for quantitative and qualitative analysis. The results showed that an average of 1693.4 papers were published per year, with a general upward trend. China had the most publications with 5877. China Medical University was the institution with the largest number of publications and the highest number of citations in the field. The research team was mainly led by Prof. Richard Tristan, and the journal with the highest number of published papers was Molecular. Dietary polyphenols, oxidative stress, and antioxidant and anti-inflammatory effects are the most frequently cited articles. Oxidative stress, apoptosis, expression, and other keywords play an important role in connecting other branches of the field. Our analysis indicates that the integration of nanoparticles with RSV is poised to become a significant trend. RSV markedly inhibits harmful bacteria, fosters the proliferation of beneficial bacteria, and enhances the diversity of the intestinal flora, thereby preventing intestinal flora dysbiosis. Additionally, RSV exhibits both antibacterial and antiviral properties. It also promotes osteogenesis and serves a neuroprotective function in models of Alzheimer's disease. The potential applications of RSV in medicine and healthcare are vast. A future research challenge lies in modifying its structure to develop RSV derivatives with superior biological activity and bioavailability. In the coming years, innovative pharmaceutical formulations of RSV, including oral, injectable, and topical preparations, may be developed to enhance its bioavailability and therapeutic efficacy.

Is Common Denominator Lead to Misdiagnosis of Dementia and Late-Life Depression

Significant cognitive impairments are found in late life depression. This situation brings to mind the question of what are the common and distinct mechanisms of late life depression and dementia. In this review, neural and psychological mechanism are discussed within the scope of denominator and hallmark for both disorders. It is searched several databases e.g. MEDLINE, Web of Science Core Collection from 1974 to 2024 by using variant terms for the focal epilepsy subtypes and social cognition constructs. The pathology of dementia was correlated with late-life depression Studies indicate that depression may be an etiological factor for dementia as well as an increased risk. Also, many life-related stressors can lead to results such as increased reactive oxygen species, inflammatory responses, suppression of neurogenesis, and apical dendritic atrophy and altered functional connectivity in the medial prefrontal cortex. Based on this, it is possible to say that psychological stress factors increase the incidence of the disease in the development of dementia, just like in depression. Late depression should not be labeled as dementia because of they share similar symptoms and should be evaluated clinically correct so that it is not misdiagnosed. Besides, it is substantial to comprehend the relationship between the aging population and the risk of depression and dementia for current and future studies, especially in terms of prevention and treatment.

Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review.

Artificial intelligence (AI) has become a pivotal element in health care, leading to significant advancements across various medical domains, including palliative care and hospice services. These services focus on improving the quality of life for patients with life-limiting illnesses, and AI's ability to process complex datasets can enhance decision-making and personalize care in these sensitive settings. However, incorporating AI into palliative and hospice care requires careful examination to ensure it reflects the multifaceted nature of these settings. This scoping review aims to systematically map the landscape of AI in palliative care and hospice settings, focusing on the data diversity and model robustness. The goal is to understand AI's role, its clinical integration, and the transparency of its development, ultimately providing a foundation for developing AI applications that adhere to established ethical guidelines and principles. Our scoping review involves six stages: (1) identifying the research question; (2) identifying relevant studies; (3) study selection; (4) charting the data; (5) collating, summarizing, and reporting the results; and (6) consulting with stakeholders. Searches were conducted across databases including MEDLINE through PubMed, Embase.com, IEEE Xplore, ClinicalTrials.gov, and Web of Science Core Collection, covering studies from the inception of each database up to November 1, 2023. We used a comprehensive set of search terms to capture relevant studies, and non-English records were excluded if their abstracts were not in English. Data extraction will follow a systematic approach, and stakeholder consultations will refine the findings. The electronic database searches conducted in November 2023 resulted in 4614 studies. After removing duplicates, 330 studies were selected for full-text review to determine their eligibility based on predefined criteria. The extracted data will be organized into a table to aid in crafting a narrative summary. The review is expected to be completed by May 2025. This scoping review will advance the understanding of AI in palliative care and hospice, focusing on data diversity and model robustness. It will identify gaps and guide future research, contributing to the development of ethically responsible and effective AI applications in these settings. DERR1-10.2196/56353.

Global Knowledge Map and Emerging Research Trends in Induced Pluripotent Stem Cells and Hereditary Diseases: A CiteSpace-based Visualization and Analysis.

The rise of induced pluripotent stem cells (iPSCs) technology has ushered in a landmark shift in the study of hereditary diseases. However, there is a scarcity of reports that offer a comprehensive and objective overview of the current state of research at the intersection of iPSCs and hereditary diseases. Therefore, this study endeavors to categorize and synthesize the publications in this field over the past decade through bibliometric methods and visual knowledge mapping, aiming to visually analyze their research focus and clinical trends. The English language literature on iPSCs and hereditary diseases, published from 2014 to 2023 in the Web of Science Core Collection (WoSCC), was examined. The CiteSpace (version 6.3.R1) software was utilized to visualize and analyze country/region, institution, scholar, co-cited authors, and co-cited journals. Additionally, the co-occurrence, clustering, and bursting of co-cited references were displayed. Analysis of 347 articles that met the inclusion criteria revealed a steady increase in the number of published articles and citation frequency in the field over the past decade. With regard to the countries/regions, institutions, scholars, and journals where the articles were published, the highest numbers were found in the USA, the University of California System, Suren M. Zakian, and Stem Cell Research, respectively. The current research is focused on the construction of disease models, both before and after correction, as well as drug target testing for single-gene hereditary diseases. Chromosome transplantation genomic therapy for hereditary diseases with abnormal chromosome structures may emerge as a future research hotspot in this field.