Index Database Research Articles

The Relationship of Waist Circumference with the Morbidity of Cardiovascular Diseases and All-Cause Mortality in Metabolically Healthy Individuals: A Population-Based Cohort Study.

This study explores the relationship between waist circumference and morbidity of cardiovascular diseases (CVD) and all-cause mortality in metabolically healthy individuals. A cohort of 5775 metabolically healthy participants from the 2001-2014 US National Health and Nutrition Examination Survey and National Death Index database was tracked over a median period of 81 months. These participants were divided into quartiles (Q1, Q2, Q3, Q4) based on increasing waist circumference. To compensate for missing covariates, multivariate multiple imputation methods were used. Adjusted logistic regression models were employed to examine the correlation between waist circumference and cardiovascular disease prevalence. Furthermore, Kaplan-Meier curves and multivariable Cox regression analysis were utilized to evaluate the association between waist circumference and all-cause mortality, both qualitatively and quantitatively. The adjusted logistic regression model indicated that a 10 cm increase in waist circumference was associated with a 1.45 times higher prevalence of CVD. As a categorical variable, there was a significant upward trend in CVD incidence across quartiles of waist circumference. The adjusted odds ratios (95% confidence intervals) were 2.41 (1.13-5.53) for Q2, 2.65 (1.18-6.39) for Q3, and 2.53 (0.9-7.44) for Q4, compared to Q1. Notably, individuals with high waist circumference showed significantly poorer survival compared to those with low waist circumference (p = 0.008). The Cox regression analysis revealed that each 10 cm increase in waist circumference contributed to an ~8% increase in all-cause mortality. This study underscores a positive correlation between waist circumference and both CVD morbidity and all-cause mortality in metabolically healthy individuals. The findings highlight the significance of routinely monitoring waist circumference for effective CVD risk management, regardless of metabolic health status.

Systematic review on Artificial Intelligence in the editorial management of scientific journals

INTRODUCTION: scientific journals play a crucial role in the dissemination and validation of scientific knowledge, and editorial management ranges from conceptualization to post-publication of content. Artificial intelligence (AI) has had a great impact on scientific communication and editorial management of scientific journals. AI can offer solutions and benefits for editorial management, but it also poses technical, economic, social and ethical challenges that should be considered and approached with caution and responsibility. OBJECTIVE: to describe the benefits and limitations of the use of AI in the editorial management of scientific journals through a systematic literature review. METHOD: a systematic literature review was conducted based on the PRISMA methodology. An information search was carried out in different bibliographic database systems, indexing systems and search engines, and inclusion and exclusion criteria were applied to the identified studies. RESULTS: the information search allowed retrieving a total of 2750 sources, of which 10 articles that met the stated criteria were included. Benefits such as the facilitation of writing, translation, review and editing tasks were identified, as well as limitations related to ethical issues, bias, errors and plagiarism generated by AI. CONCLUSIONS: While AI can streamline the production and analysis of information distribution, it also poses challenges in terms of reliability, ethics and authenticity of published content. It requires the critical involvement of human intelligence for proper exploitation.

Proposed threshold-based and rule-based approaches to detecting duplicates in bibliographic database

Bibliographic databases are used to measure the performance of researchers, universities and research institutions. Thus, high data quality is required and data duplication is avoided. One of the weaknesses of the threshold-based approach in duplication detection is the low accuracy level. Therefore, another approach is required to improve duplication detection. This study proposes a method that combines threshold-based and rule-based approaches to perform duplication detection. These two approaches are implemented in the comparison stage. The cosine similarity function is used to create weight vectors from the features. Then, the comparison operator is used to determine whether the pair of records are grouped as duplication or not. Three research databases: Web of Science (WoS), Scopus, and Google Scholar (GS) on the Science and Technology Index (SINTA) database are investigated. Rule 4 and Rule 5 provide the best performance. For WoS dataset, the accuracy, precision, recall, and F1-measure values were 100.00%. For Scopus dataset, the accuracy and precision values were 100.00%, recall: 98.00%, and the F1-measure value is 98.00%. For GS dataset, the accuracy value was 100.00%, precision: 99.00%, recall: 97.00%, and the F1-measure value is 98.00%. The proposed method is potential tool for accurate detection on duplication records in publication databases.

On Development of School- Enterprises Cooperative Education in China: A Literature Review (1998-2023)

School-enterprise cooperation education strengthens the connection between schools and enterprises, and cultivates qualified talents for economic development. This study aims to analyze the characteristics of existing research on school-enterprise cooperation in China. A total of 1299 studies on school-enterprise cooperation were selected for analysis from the research articles collected by China Social Sciences Citation Index (CSSCI) in the CNKI database over the past 25 years. Firstly, Cite Space software was used to visualize the number of published papers, research hotspots, and research trends for each year. Subsequently, a content analysis was conducted on the main research hotspots of school-enterprise cooperation in China. The results indicate that the publication volume of research papers on school-enterprise cooperation in China shows a trend of first increasing and then decreasing. The evolution of research topics spans three different stages, influenced by educational policies. The main focus areas include school-enterprise cooperation modes, talent training modes through school-enterprise cooperation, collaborative innovation and practical teaching in school-enterprise cooperation, as well as collaborative training of talents in new engineering fields. This review aims to describe current research prospects and provide a reference for academic exploration in future school-enterprise cooperative education.

Bibliometric Analysis of Trends and Future Directions of Research and Development of Seed Orchards

Seed orchards are important seed resources for producing improved tree crops for future plantations, forest restoration, and forestry practices (i.e., gene conservation) and for transmitting current gene diversity to future generations. Seed orchards are a major sub-division in forest science. The establishment and management of a seed orchard involves many steps, from the selection of superior trees to the harvesting of a seed crop. Studying the trends and future directions of seed orchards using different analysis methods is critically important, especially to establish resistant forests via the production of climate-smart, biotic/abiotic-stress-resistant seedling materials. Published papers related to seed orchards should be analyzed to determine the current trends in this field and to contribute to its future directions. Bibliometric analysis has been used for different purposes in various scientific fields. However, it has not been performed for publications in seed orchards. This study was carried out to analyze the current trends of research on seed orchards and to determine the future directions of these orchards based on published papers. For these purposes, 1018 published papers were obtained from the Science Citation Index, Science Citation Index Expanded, and citation index databases of “Web of Science” using the keyword “seed orchard”. The papers were published between 1980 and 2022 and were subjected to bibliometric analysis based on the most prolific contributors, references, countries, and keywords. CiteSpace software 6.1 R6 was applied to visualize information about seed orchard research. The average number of citations per publication was 13.05, and the 4 H-Index of the publication set was 48. The most prolific contributors with the strongest citation bursts, the highest centrality, and the greatest numbers of published papers were from Canada, Sweden, South Korea, Finland, and Czech Republic, while Canada (186 published articles), the USA (140), and Sweden (115), together with China, Brazil, and Germany, were active countries, especially based on citations from recent years. The “keywords” of the papers were the core of the research. “Mating pattern”, “Swedish forestry”, “fertility variation”, “Hymenoscyphus fraxineus”, “threatened Pacific sandalwood”, “outbreeding depression”, “climate change”, “management”, and “growth”, together with others such as “genetic improvement” and “effective size”, were active study areas and keywords, based on results of the analysis. They also guided the literature search and inventory and classification of early studies and served as predictors for future studies. The results of this study are discussed based on the trends and future directions of the research and development of seed orchards.

A global database for energy consumer price indices

This article presents a global database of energy consumer price indices for 100 countries and two currency unions. The database covers a wide range of advanced and developing economies and is based on available information from national sources. The data extend coverage from existing international databases and provide a more detail breakdown of subcomponents, such as electricity and motor fuels, than is elsewhere available. The data are available at https://github.com/MilesIParker/EnergyCPI.

Impact of Climate Change on the Environment: A Synthesis Study

Climate change has a significant impact on both physical and social components of the environment. Every component of the environment has been suffering the impacts of climate change. All components of the environment are interrelated through the exchanging of energy and matter; hence they actively interact. Major components of the environment like the biosphere, lithosphere, atmosphere, and hydrosphere are open systems to impact climate change. This paper describes the major impacts of climate change on major components of the environment. This study investigated the current state, wide-range global research trends, and different concerns on the impacts of climate change on the sustainable tourism. Global climate change represents a grand challenge for society, one that is increasingly influencing tourism sector investment, planning, operations, and demand. This study synthesized a total of 36 studies on climate change by sourcing published material from the review that was performed in indexed databases namely Dimensions, Web Science, Elsevier Scopus, and Google Scholar. Therefore, the study found that human beings are the major contributors to climate change through anthropogenic greenhouse gas emissions that worsened during the Green Revolution. Climate change outcomes through the loss of valuable ecosystem goods and services, degrading the most of keystone species sites. In other ways, loss of biodiversity, changes in atmospheric composition, changes in chemical reactions in soil, changes in water quality, availability, and hydrologic cycles, and frequent occurrence of extreme weather conditions. Of course! The effects of climate change are wide-ranging and diverse, impacting many areas and facets of daily life. Therefore, this study recommends implementing carbon pricing mechanisms to internalize the costs of greenhouse gas emissions and enforcing stringent environmental regulations and standards to limit emissions and pollution. Support global efforts and agreements to combat climate change, such as the Paris Agreement.

Gestational syphilis: a socioeconomic analysis of the increase in rates in Brazil

Syphilis is a sexually transmitted infection (STI) that has been known since the 15th century. This pathology, whose etiological agent is Treponema Pallidum, can be classified as: acquired, gestational or congenital, since transmission can be sexual or vertical, from mother to fetus. In recent years, gestational syphilis has seen a progressive and considerable increase in the number of cases detected in Brazil. Thus, knowing that this disease puts not only the pregnant woman's life at risk, but also that of the fetus, which can acquire the infection via transplacental transmission, it is extremely important to understand the factors involved in the increase in the number of detected cases of gestational syphilis, which is the main objective of this research. From a socio-economic perspective, the article discusses the correlation between the increase in cases and social inequality factors in areas of Brazil, understanding how the particularities of each region are reflected in health management, based on the incidence of the disease. As a methodology, we plan to carry out a bibliographical review based on books and catalogued scientific articles published in online indexed databases, such as Scientific Library Online (SciElo) and Pubmed. In addition, an analysis of data from the DATASUS platform will be carried out, also from the 2010 Census. As expected results, we believe that the increase in the rate of gestational syphilis is closely related to socioeconomic factors and access to adequate prenatal care.

Horizontal Gaze Assessment: An Extensive Narrative Review

Bipedalism was a significant milestone in the evolutionary development of Homo sapiens sapiens, influencing neocortical evolution and subsequent behavioral changes. Coordinated visual and sensory inputs are crucial for posture, environmental interaction, and surgical planning, with horizontal gaze being a pivotal parameter. This narrative review aims to explore various geometric measures used to assess horizontal gaze in patients, highlighting their applications in surgical planning. A literature review was conducted in indexed databases using Mesh terms like "Cervical Vertebrae" and "Visual Fields" along with keywords such as "horizontal gaze" and "sagittal spine parameters." Among 477 initially identified articles, 41 were selected for inclusion after rigorous filtering. The most recognized method for assessing horizontal gaze is the Chin Brow Vertical Angle (CBVA), initially described in patients with ankylosing spondylitis. Clinical photography is employed as a tool for CBVA calculation, while other measures like McGregor slope and Slope of the Line of Sight have been considered as alternatives to CBVA. Each method presents its unique advantages and limitations. This review highlights the need for further research into horizontal gaze measurement methods. Developing novel approaches to determine horizontal gaze can significantly enhance surgical planning and, consequently, improve patient outcomes. The ongoing exploration of these geometric measures offers promising prospects for advancing the field and optimizing patient care.

COVID-19 Research Trends in Social Work: LDA Topic Modeling Analysis in South Korea

This study utilizes LDA topic modeling to examine research trends related to COVID-19 within the field of social work, analyzing these trends through peer-reviewed articles from the Korea Citation Index database. Latent Dirichlet Allocation (LDA) topic modeling, a statistical method for discovering abstract topics within a collection of documents, is applied to categorize and summarize the thematic concentration of the literature. Five themes have emerged: healthcare service and digitalized methods, exploring mental health status, qualitative approaches to social service program responses to COVID-19, evaluation of care services, and public service and program responses to COVID-19. Key findings reveal that the Korean social work academia focused on digital-based non-face-to-face services, evaluating the adequacy of public social services, and analyzing mental health and caregiving services during the pandemic. These findings indicate a reassessment of social work practices in response to the pandemic, underscoring the need to explore the challenges and opportunities presented by varied national responses. Additionally, the application of Python and machine learning in this research has shown significant benefits for social work studies, enabling a deeper analysis of complex, big data and facilitating more informed decision-making.

A concept analysis of transcultural in nursing practices

Background: Differences in interpreting the term ‘transcultural’ in nursing practice need to be addressed. Inappropriate terminology in the nursing practice environment may impact the quality of health care. Objective: The aim of this research is to identify the meaning of transcultural in concepts and theories and its relationship to the practice of the nursing profession. Methods: This paper was designed for Walker and Avant concept analysis. Reputable articles from indexing databases were used for review. “Transcultural” AND “Transcultural Nursing Practice” were the two key concepts used in the literature search. The inclusion criteria for articles to be retrieved were determined by the authors with high rigor. Then, an organizing framework was formulated using Walker and Avant’s conceptual analysis method. Results: Antecedents, attributes, and consequences are inferred from the keywords or sentences in each article. The antecedents in this study include immigrants, acculturation, immigration, emigration, cultural diversity, cultural competence, interpersonal caring, transcultural nursing, and cross-cultural comparisons. The attributes in this study encompass cultural exchange, overcoming obstacles, research development, changes to standards and operating procedures. The consequences of the transcultural concept for nursing practice include its impact on organizations, patients/clients, and nurses. Conclusions: We suggest that healthcare professional thoroughly comprehend transcultural concepts in nursing practice in order to effectively apply transcultural approaches in nursing practice. This is one way to improve the quality of healthcare services.

FragGrow: A Web Server for Structure-Based Drug Design by Fragment Growing within Constraints.

Fragment growing is an important ligand design strategy in drug discovery. In this study, we present FragGrow, a web server that facilitates structure-based drug design by fragment growing. FragGrow offers two working modes: one for growing molecules through the direct replacement of hydrogen atoms or substructures and the other for growing via virtual synthesis. FragGrow works by searching for suitable fragments that meet a set of constraints from an indexed 3D fragment database and using them to create new compounds in 3D space. The users can set a range of constraints when searching for their desired fragment, including the fragment's ability to interact with specific protein sites; its size, topology, and physicochemical properties; and the presence of particular heteroatoms and functional groups within the fragment. We hope that FragGrow will serve as a useful tool for medicinal chemists in ligand design. The FragGrow server is freely available to researchers and can be accessed at https://fraggrow.xundrug.cn.

Systematic and structural analysis of forest mycobiota with the participation of Abies alba Mill. in the Pokutsko-Bukovyna Carpathians

The value and uniqueness of forest ecosystems are determined by their species diversity and biotic resistance to negative environmental impacts. The aim of the study is to determine the species composition, systematic position, trophic specialization, as well as the occurrence and abundance of forest mycobiota with Abies alba in the Pokutsko-Bukovyna Carpathians. The study was conducted in 2019-2023 within the forests of the branches “Kutske Forestry”, “Ivano-Frankivsk Forestry” and “Beregomet Forestry” of the State Specialized Enterprise “Forests of Ukraine”, as well as the forests of the National Nature Park “Vyzhnytskyi” and the National Nature Park “Hutsulshchyna”. Classical mycological identification methods were used in the study. Information from the interactive databases Index Fungorum, MycoBank, and World of Fungi of Ukraine was used to clarify the current systematic position and current names of taxa. It was found that the consortial relationships of the fungal biota of the Pokutsko-Bukovyna Carpathians forests are most closely related to the woody plants Picea abies, Abies alba, and Fagus sylvatica. During the mycological expedition, 54 species of representatives of the kingdom Fungi were identified, 81.5% of which belong to the order Basidiomycota and 18.5% to the order Ascomycota. It was found that the most numerous is the order Polyporales, and the least numerous are the orders Corticiales, Gomphales, Phallales, Pucciniales and Tremellales. It is shown that, according to trophic specialization, representatives of the studied mycobiota of the Pokutsko-Bukovyna Carpathians belong to the following groups: xylotrophic facultative saprotroph, xylotrophic facultative pathogen, xylotrophic obligate saprotroph, obligate pathogen and aboveground saprotroph. It is noted that the most widely represented are saproxylytrophs, which generally develop on dead and fallen wood. Thus, the systemic and structural analysis of the fungal biota of the Pokutsko-Bukovyna Carpathians forests allows for assessing the biocenotic value of fungi as bioindicators of the current state of stands, as well as identifying reference and valuable areas characterized by high biodiversity

Enhancing the Digital Earth via Digital Decimal Geolocation and the FAIR Data Principles

The essential aspects of Gore’s “Digital Earth” concept include “georeferenced” data. This paper is concerned with establishing the need for a standardised and common form to locate points on the earth’s surface. Rather than a degree, minute, second (dms) system for latitude/longitude location, a decimal degree system, formatted as a comma separated variable tuple in square brackets, [dLL], is advocated. Values, to an appropriate number of decimal places, can be inserted in text to be computer searchable. The [dLL] also becomes metadata for a data set or as an index in databases or identifiers for images. Various uses of this system are illustrated. The [dLL] allows data to become more “open” via the FAIR data principles: findability, accessibility, interoperability, and reusability. Wider use of [dLL] in the earth sciences is fundamental to collaboration with other disciplines, especially Critical Zone Science. The general use of [dLL] geolocation can be exploited in a wide variety of data analytical methodologies, some of which are outlined, and in earth science and environmental data situations.

Abstract PO2-29-03: Factors Affecting the Mammography Sensitivity and the Quality of the Breast Cancer Screening Program in the State of São Paulo, Brazil

Abstract Background: Previous researches found that false-positive mammogram results during breast cancer screening are related to age, family history of breast cancer, body mass index, and breast density. In Brazil, there is limited data available on possible factors that may influence the sensitivity of mammography and, consequently, the overall quality of the breast cancer screening program. Aims: This study aims to conduct a sensitivity analysis comparing the results of screening mammograms with diagnosis of breast cancer, taking into account factors that could impact this sensitivity. Methods: All mammogram and biopsy results in the state of São Paulo in 2013 were obtained from the Brazilian Breast Cancer Information System (SISMAMA) database. We obtained information on age (< 50, 50-59, 60-69, or 70+ years), type of lesion (solid, cyst, or calcifications), lesion size (< 10mm, 11-20mm, 21-50mm, or >50mm), lesion boundaries (defined or undefined), lesion characteristics (regular or irregular), and breast density (fatty/predominant fatty or dense/predominant dense). In addition, we evaluated the hormonal therapy usage (yes or no), radiotherapy treatment (yes or no), ethnicity (caucasian, asian, or black), education (illiterate, completed elementary school, completed high school, or completed higher education), skin type (retracted, thickened, or normal), and type of mammogram (simple or computerized). Our analysis focused on mammograms classified as BI-RADS 4, BI-RADS 5, and those with inconclusive results, which subsequently led to a biopsy for diagnosis. We conduct statistical analysis using SPSS v.29 software. To assess the agreement between mammograms and biopsy results (sensitivity), we calculated the proportion of true positive results. We compared the sensitivity across different strata of variables using the Chi-Square test and the V-Cramer measure. Results: A total of 6,064 women with BI-RADS 4, BI-RADS 5, or inconclusive mammogram results underwent biopsy procedures for breast cancer diagnosis. Among these cases, 3,414 (56.3%) were false positives, 1,765 (29.1%) were true positives, and 885 (14.6%) were inconclusive results. The sensitivity of mammographic screening was not significantly associated with ethnicity, education, type of mammogram, skin type, or previous radiotherapy. However, a higher proportion of false positive results was linked to high breast density (71.2%), irregular lesions with defined boundaries (87.5%), particularly calcifications (68.7%) smaller than 10 mm (67.5 %). True positive results, on the other hand, were associated with solid (87.1%) and irregular lesions with undefined boundaries (82.1 %), often larger than 50 mm (57.2%) in fatty breasts (82.7%). A notable proportion of inconclusive results was associated with the presence of dense/predominant dense breasts (88.4%) and irregular lesions with undefined boundaries (87%), particularly solid lesions (89.8%) ranging from 21 to 50 mm in size (60.8%). False positive and inconclusive results were more prevalent among women under 50 years old (79.8%) and those using hormonal therapy (54.8%) compared to true positives. This study has certain limitations, including the availability of data related to lesion density and morphology, as well as body mass index in the SISMAMA database, all of which can potentially impact mammography sensitivity. Furthermore, a notable limitation was a substantial number of missing values for ethnicity and education in the SISMAMA dataset. Conclusion: We identified associations between false-positive and inconclusive results on screening mammograms and factors such as age, breast density, lesion size, lesion types, and hormonal therapy. These results provide valuable information about potential factors that may affect the accuracy of mammography interpretations. Therefore, they must be taken into consideration when planning a breast cancer screening program. Citation Format: Alice Câmara, Lise Cury, Victor Filho. Factors Affecting the Mammography Sensitivity and the Quality of the Breast Cancer Screening Program in the State of São Paulo, Brazil [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-29-03.

Profile of Electronic Scientific Journals in Angola

Scientific journals play an important role as a channel for communicating scientific research results around the world. In recent years, the number of electronic scientific journals in Angola has increased, despite their low visibility internationally. The objective of this article is to describe the profile of electronic scientific journals in Angola. This is an exploratory and documentary research, in which a total of 14 web pages of scientific journals were observed, using a form, containing a control list with the following items: year of creation, responsible institution, area of knowledge, periodicity of publications, last publication, indexing in databases, use of ORCiD by authors and information on the date of submission, acceptance and publication of originals. The results indicate that more than half of the scientific journals are multidisciplinary in nature and were created between 2012 and 2019; They are linked to Higher Education Institutions and are indexed in at least one database, with biannual publications. However, the study also shows that the majority have not published for at least a year. It is concluded that the profile of electronic scientific journals in Angola reflects the country's academic and scientific context, with many challenges to be overcome in this area.

In silico structures, mass spectra and retention indices database development for purposes of chemical weapons convention

The Chemical Weapons Convention (CWC) is a science-based international treaty for the disarmament and non-proliferation of chemical weapons. However, reference Orgaization for prohibition of chemical weapons (OPCW) central analytical database (OCAD) of structures with mass spectra (MS) and retention indices (RI) includes only minor part of all possible chemical species defined in the Schedules of CWC. In this work we employed OCAD in silico augmentation based on chemoinformatics approach for chemical structures enumeration, MS data generation based on message passing neural network and based on P-alkyl molecular pairs RI prediction to support the verification activities as provided for in the CWC. Enumerated 879 noncyclic and 5270 monocyclic alcohols became the basis for generating hundreds of thousands molecules of Schedule 1 toxic chemicals like Sarin, Tabun, VX and Novichok. Trained on ordinary and neutral loss electron ionization mass spectrometry (EI-MS) a message-passing neural network (MPNN) outperformed other quantum chemistry and machine learning methods. Generated by this MPNN in silico EI-MS are very similar to the library's spectra and allowed to reach desired match factor above 800 within a scale of 0–1000. Statistical data for molecular pairs based on P-alkyl fragments was collected and used to predict RIs within desired 20 RI window for some toxic chemicals of Schedule 1.A.01, for which in the current OCAD version RIs are absent.

Technological progression associated with monitoring and management of indoor air pollution and associated health risks: A comprehensive review

AbstractIndoor air pollution (IAP) is a prevalent issue, and in the absence of any concrete and stringent guidelines, particularly in developing countries the concern becomes graver. Technological strategies like the use of the Internet of Things (IoT) and cloud computing have been explored for real‐time monitoring and these interventions may be investigated to improve indoor air quality (IAQ) and human health. This review article explores the prospects of IoT and smart environments for the improvement of indoor living conditions through automation. Some specific interference like sensors, air pollution simulations and modeling, the concept of smart ventilation, and fuzzy logic controllers (FLC) have been elaborated with pieces of evidence taken from previously published studies in leading indexing databases. Furthermore, some automated health risk assessment tools like the Human exposure model (HEM), Integrated Fuzzy‐stochastic modeling (IFSM), and proximity and interpolation models have also been described. The findings suggested that IoT‐based gadgets require ambient intelligence capabilities for ambient assisted living (AAL). The studies showed that innovations in technology like sensors and modeling techniques may yield crucial information on pollution exposure enabling long‐term and sustainable predictions. However, efficient AAL systems may also face challenges in designing interfaces, usability, and accessibility. Although IoT can aid in mimicking real‐world scenarios, nevertheless its‐micro spatial scale application requires thorough investigation for reliable information extraction.

The Near-infrared Ca ii Triplet as a Stellar Activity Indicator: A Library and Comparative Study

We have established and released a new stellar index library of the Ca ii triplet, which serves as an indicator for characterizing the chromospheric activity of stars. The library is based on data from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Low-Resolution Spectroscopic Survey (LRS) Data Release 9. To better reflect the chromospheric activity of stars, we have defined new indices R and R +. The library includes measurements of R and R + for each Ca ii infrared triplet (IRT) from 699,348 spectra of 562,863 F, G, and K-type solar-like stars with a signal-to-noise ratio higher than 100, as well as the stellar atmospheric parameters and basic information inherited from the LAMOST LRS catalog. We compared the differences between the three individual indices of the Ca ii triplet and also conducted a comparative analysis of Rλ8542+ to the Ca ii H and K S and RHK+ index databases. We observe the fraction of less active stars decreases with T eff and the fraction of more active stars first decreases with decreasing temperature and turns to increase with decreasing temperature at 5800 K. We also find that a significant fraction of stars that show a high activity index in both Ca ii H and K and IRT are binaries with low activity; some of them could be discriminated in the Ca ii H and K S index and Rλ8542+ space. This new stellar library serves as a valuable resource for studying chromospheric activity in stars and can be used to improve our comprehension of stellar magnetic activity and other astrophysical phenomena.

Rehabilitation needs screening to identify potential beneficiaries: a scoping review

ObjectivesThe aim is to identify and compare the content of screening tools and needs assessments used to select rehabilitation beneficiaries and to describe the context of their use.DesignScoping review.Data sourcesWe...