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OBJECTIVE: Dizziness or vertigo in older population frequently presents in clinical settings, yet its etiology remains elusive. The objective of this study was to delineate global trends and identify frontiers in research concerning dizziness or vertigo among older population. METHODS: We searched the research literature published from 2003 to 2022 on older population with dizziness or vertigo using two databases from the Web of Science Core Collection. A bibliometric and visualization analysis was conducted. Bibliometric tools facilitated co-authorship, co-citation, and keyword co-occurrence analyses, encompassing countries or regions, institutions, authors, journals, and references. RESULTS: The analysis included 1322 publications authored by 6524 individuals from 2244 institutions across 67 countries or regions, spanning 92 subject categories. A steady increase in publications was noted from 2003 to 2022. The University of Munich, Harvard University, and the University of California System emerged as leading institutions with the highest publication outputs. The United States, Germany, and China were predominant in publication counts. Eva Grill was identified as the most prolific author. Otology & Neurotology and Geriatrics & Gerontology emerged as the most prolific journal and subject category, respectively. The most prevalent keywords were "dizziness", "vertigo", "falls", and "geriatric", with "management", "gait", and "association" recognized as the principal research hotspots. CONCLUSION: This study provides a systematic analysis of global scientific research on older population dizziness/vertigo, revealing significant advancements in understanding over the past two decades. Management, gait, and association have emerged as the primary research focuses on recent years. These findings offer valuable insights for directing current research efforts to capture prevailing trends and explore new frontiers in this field.

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Despite efforts within Ecuador to combat violence against women (VAW), the country still claims some of the highest rates of violence in the Americas. In this study, we complete a cultural visual analysis of anti-VAW public art in a small Ecuadorian city. Visual data is examined and interpreted by way of the social-ecological model (SEM). Specifically, our analysis considers how murals engage with the depiction of (a) VAW, (b) agentic responses to VAW, and (c) the different layers of the SEM. Our analysis identifies four specific strategies for constructing public art messaging to help achieve freedom from VAW.

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BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic, multisystem autoimmune disorder. When SLE occurs in individuals under the age of 18, it is referred to as childhood-onset SLE (cSLE). Currently, there is a dearth of bibliometric research pertaining to cSLE. METHOD: Relevant studies in the field of cSLE from 2000 to 2022 were screened from the Web of Science Core Collection (WoSCC). CiteSpace and VOSviewer software were used to visualize the annual publications, countries, institutions, authors, journals, keywords, and references, after which the authors conducted the scientific analysis. RESULTS: A total of 2857 articles were included in this study, and the number of articles published in the past 20 years showed an overall upwards trend. The most prolific countries are the United States, China, and Brazil; however, the United States, Canada, and the United Kingdom are clearly superior in terms of literary influence, and there is more cooperation between them and their institutions. LUPUS (n = 389) contributed the most to the variance. Brunner, HI's contribution in the field of cSLE is outstanding. The words related to 'lupus nephritis' and 'antibodies' are important words reflected in the keyword network diagram. The keywords included 'evidence-based recommendation', 'validation', 'diagnosis' and 'adult' from 2019, and 'continuous bursts' to the present. CONCLUSION: This study examined the research status of cSLE patients, discussed and analysed the research hotspots and trends in this field, and provided a reference for further research in this field to promote the development of cSLE research.

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Purpose: Resistance training (RT) can intervene in aging, which can effectively improve trainees' life. However, unhealthy living habits such as irregular life, obesity and hyperlipidemia, and chronic diseases lead to a significant decline in the energy level of the population, seriously affecting the health of the population. Our research identifies the research hotspots of RT to intervene in aging from the perspective of bibliometrics, predicts research frontiers and development trends, and provides more perspectives for research on aging populations. Methods: In this study, we used CiteSpace and VOSviewer visualization software to draw the scientific knowledge map of countries/regions, institutions, authors, co-occurrence keywords, and co-cited references of published articles, and explore the Web of Science core collection database all about the RT intervention aging research status, hotspots, frontiers, and development trends of articles on aging. Results: Among the 760 articles that meet the inclusion criteria, the number of articles published and the frequency of citations have increased steadily in the past 5 years. Judging from the countries/regions, institutions, scholars, and journals that published articles, the ones with the largest numbers are the USA, Univ Estadual Londrina, Cyrino ES, and Exp Gerontol. The ones with the highest influence are England, Univ Arkansas Med Sci, Frontera WR, and Biochem Biophys Rep Co. The top five co-occurrence keywords of include exercise, strength, resistance training, skeletal muscle, and muscle strength. The research frontier is physical function. Conclusion: In the field of RT intervention aging research, relevant scholars deserve further in-depth research and exploration. The United States, Brazil, Canada, and other economically developed countries/regions, institutions, and authors have greater influence and productivity. These quantitative research results can provide references for relevant scholars' follow-up research and government departments to formulate and modify health policies or measures.

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This article presents original findings from a longitudinal qualitative study on changes in individual and family life associated with safety and health measures implemented during the COVID-19 pandemic in three regions of Chile. We developed a methodological approach based on multimodal diaries in a mobile application, in which participants submitted photographs and texts to express changes in their daily lives under residential confinement. Content and semiotic visual analyses show a significant loss in instances of collective recreation, partially compensated through new personal and productive activities performed at home. Our results suggest that modal diaries serve as potential tools to capture people's perceptions and meanings as their lives go through exceptional and traumatic times. We assert that using digital and mobile technologies in qualitative studies could allow subjects to actively participate in the co-construction of fieldwork and produce quality knowledge from their situated perspectives. Supplementary Information: The online version contains supplementary material available at 10.1007/s11133-023-09531-z.

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A better knowledge of tree vegetative growth phenology and its relationship to environmental variables is crucial to understanding forest growth dynamics and how climate change may affect it. Less studied than reproductive structures, vegetative growth phenology focuses primarily on the analysis of growing shoots, from buds to leaf fall. In temperate regions, low winter temperatures impose a cessation of vegetative growth shoots and lead to a well-known annual growth cycle pattern for most species. The humid tropics, on the other hand, have less seasonality and contain many more tree species, leading to a diversity of patterns that is still poorly known and understood. The work in this study aims to advance knowledge in this area, focusing specifically on herbarium scans, as herbariums offer the promise of tracking phenology over long periods of time. However, such a study requires a large number of shoots to be able to draw statistically relevant conclusions. We propose to investigate the extent to which the use of deep learning can help detect and type-classify these relatively rare vegetative structures in herbarium collections. Our results demonstrate the relevance of using herbarium data in vegetative phenology research as well as the potential of deep learning approaches for growing shoot detection.