bluuebunny/crossref_metadata_2025_split huggingface dataset:
DNA barcoding, micromorphology and metabolic traits of selected Ficus L. (Moraceae) species from Egypt
Authors: El-Demerdash Marwa M. , El-Sayed Ashraf S. A. , Teleb Samir S. , Sadek Ahmed M. , Elsehely Heba. H. 
Published: November 2024

AbstractThe genus Ficus of the family Moraceae, is one of the largest genera of angiosperms, with diverse pharmaceutical applications and biological activities. The traditional approaches based on the morphological traits have been frequently implemented for taxonomical identification of the different taxa of Ficus, however, encompassing these features are quite laborious, due to the dependence of these phenotypic traits on the environmental conditions. So, authenticating the taxonomical identity of the Ficus taxa with molecular barcoding and metabolic profiling, as relatively stable traits, could be a relevant approach for confirming the traditional phenotypic traits of this genus. Nine species of the genus Ficus namely F. amplissima Sm., F. benjamina L. F. binnendijkii, F. drupacea var. pubescens, F. elastica Roxb., F. microcarpa L., F. religiosa L., F. tinctoria subsp. gibbosa and F. virens var. sublancelata in Egypt, were selected for this study. From the anatomical features, three species of subsection Urostigma, F. religiosa, F. virens var. sublanceolata have cystoliths on the abaxial layer, whereas in F. amplissima it was on the adaxial layer. The UPGMA dendrogram of the studied Ficus taxa has been generated from the 21 anatomical characters, categorized the studied taxa into two clusters (I and II) of average distance ~ 3.5, each cluster has been further divided into subclusters I and II. The sub-cluster I includes F. religiosa, F. virens var. sublanceolata and F. tinctoria subsp. gibbosa were grouped together to subsection Urostigma, while the sub-cluster II of the cluster I includes F. benjamina and F. amplissima. From the DNA barcoding analysis, three clusters I, II and III were emerged, the cluster I includes F. benjamina, F. binnendjikee, and F. amplissima. The cluster II, F. virens var. sublanceolata and F. religiosa that belong to subsection Urostigma, while, the cluster III includes F. elastica and F. drupacea var. pubescens, F. microcarpa that belongs to subsection Conosycea. From the metabolic profiling of Ficus species, the major compounds; H-cycloprop-azulen-7-ol, 3,7,11,15-Tetramethyl-2-hexadecen-1-ol, 2-(9-octadecenyloxy), pentadecanoic acid, phytol, sitosterol and 9,12-octadecadienoic acid were the common among the taxa, with an obvious fluctuation, that could be a chemotaxonomic markers for these species of Ficus. Based on the metabolic profiling, two distinct clusters I and II were evolved, the cluster I involve F. elastica, F. benjamina, F. drupacea var. pubescens, F. amplissima, while, the cluster II had F. tinctoria subsp. gibbosa and F. religiosa. The fluctuation on the metabolites of the tested Ficus species could be a metabolic fingerprint for each species. So, the delamination of the tested plants based on their anatomical traits was typically matched to the separation based on the ITS sequence analysis.
Accounting for bias due to outcome data missing not at random: comparison and illustration of two approaches to probabilistic bias analysis: a simulation study
Authors: Kawabata Emily , Major-Smith Daniel , Clayton Gemma L. , Shapland Chin Yang , Morris Tim P. , Carter Alice R. , Fernández-Sanlés Alba , Borges Maria Carolina , Tilling Kate , Griffith Gareth J. , Millard Louise A. C. , Smith George Davey , Lawlor Deborah A. , Hughes Rachael A. 
Published: November 2024

Abstract
Background
Bias from data missing not at random (MNAR) is a persistent concern in health-related research. A bias analysis quantitatively assesses how conclusions change under different assumptions about missingness using bias parameters that govern the magnitude and direction of the bias. Probabilistic bias analysis specifies a prior distribution for these parameters, explicitly incorporating available information and uncertainty about their true values. A Bayesian bias analysis combines the prior distribution with the data’s likelihood function whilst a Monte Carlo bias analysis samples the bias parameters directly from the prior distribution. No study has compared a Monte Carlo bias analysis to a Bayesian bias analysis in the context of MNAR missingness.

Methods
We illustrate an accessible probabilistic bias analysis using the Monte Carlo bias analysis approach and a well-known imputation method. We designed a simulation study based on a motivating example from the UK Biobank study, where a large proportion of the outcome was missing and missingness was suspected to be MNAR. We compared the performance of our Monte Carlo bias analysis to a principled Bayesian bias analysis, complete case analysis (CCA) and multiple imputation (MI) assuming missing at random.

Results
As expected, given the simulation study design, CCA and MI estimates were substantially biased, with 95% confidence interval coverages of 7–48%. Including auxiliary variables (i.e., variables not included in the substantive analysis that are predictive of missingness and the missing data) in MI’s imputation model amplified the bias due to assuming missing at random. With reasonably accurate and precise information about the bias parameter, the Monte Carlo bias analysis performed as well as the Bayesian bias analysis. However, when very limited information was provided about the bias parameter, only the Bayesian bias analysis was able to eliminate most of the bias due to MNAR whilst the Monte Carlo bias analysis performed no better than the CCA and MI.

Conclusion
The Monte Carlo bias analysis we describe is easy to implement in standard software and, in the setting we explored, is a viable alternative to a Bayesian bias analysis. We caution careful consideration of choice of auxiliary variables when applying imputation where data may be MNAR.
A comparison of time-varying propensity score vs sequential stratification approaches to longitudinal matching with a time-varying treatment
Authors: Richey Morgan , Maciejewski Matthew L. , Zepel Lindsay , Arterburn David , Kawatkar Aniket , Sloan Caroline E. , Smith Valerie A. 
Published: November 2024

Abstract
Background
Methods for matching in longitudinal cohort studies, such as sequential stratification and time-varying propensity scores, facilitate causal inferences in the context of time-dependent treatments that are not randomized where patient eligibility or treatment status changes over time. The tradeoffs in available approaches have not been compared previously, so we compare two methods using simulations based on a retrospective cohort of patients eligible for weight loss surgery, some of whom received it.

Methods
This study compares matching completeness, bias, coverage, and precision among three approaches to longitudinal matching: (1) time-varying propensity scores (tvPS), (2) sequential stratification that matches exactly on all covariates used in tvPS (SS-Full) and (3) sequential stratification that exact matches on a subset of covariates (SS-Selected). These comparisons are made in the context of a deep sampling frame (50:1) and a shallow sampling frame (5:1) of eligible comparators. A simulation study was employed to estimate the relative performance of these approaches.

Results
In 1,000 simulations each, tvPS retained more than 99.9% of treated patients in both the deep and shallow sampling frames, while a smaller proportion of treated patients were retained for SS-Full (91.6%) and SS-Selected (98.2%) in the deep sampling frame. In the shallow sampling frame, sequential stratification retained many fewer treated patients (73.9% SS-Full, 92.0% SS-Selected) than tvPS yet coverage, precision and bias were comparable for tvPS, SS-Full and SS-Selected in the deep and shallow sampling frames.

Conclusion
Time-varying propensity scores have comparable performance to sequential stratification in terms of coverage, bias, and precision, with superior match completeness. While performance was generally comparable across methods, greater match completeness makes tvPS an attractive option for longitudinal matching studies where external validity is highly valued.
Park proximity and all-day and time-specific physical activity and sedentary behaviour in older adults
Authors: Lin Chien-Yu , Lai Ting-Fu , Fang Chin-Yi , Hsueh Ming-Chun , Liao Yung 
Published: November 2024

Abstract
Background
Proximity to parks has been suggested as a factor influencing physical activity in older adults. However, it remains unclear the optimal distance between residences and parks for promoting physical activity and reducing sedentary time and whether these associations vary by the time of day. We examined whether the proximity to neighbourhood parks at varying distances is associated with all-day and time-specific physical activity and sedentary behaviour in older adults.

Methods
Data were collected from 214 older adults receiving hospital services in Taipei, Taiwan. The number of parks within 400m, 800m, and 1,600m of participants’ residences. Physical activity and sedentary behaviour, stratified by time of day (morning, afternoon, and evening), were measured using accelerometers. Adjusted linear regression models were used to estimate associations of park proximity with activity and sedentary outcomes.

Results
Parks located within 400m and 800m of participants’ residences were more markedly associated with longer time in physical activity and less sedentary time compared to parks located 1,600m away. A greater number of parks within 400m and 800m was positively associated with walking steps and light-intensity physical activity while both distances were negatively associated with sedentary time. The associations between park proximity and behavioural outcomes were mainly attributable to that during the afternoon and evening.

Conclusions
Our findings suggest that favourable access to parks within 800m of older adults’ residences is associated with more physical activity and less sedentary time, particularly during the afternoon and evening. Future longitudinal studies are required to corroborate these associations.
Anti-Black racism in Canadian health care: a qualitative study of diverse perceptions of racism and racial discrimination among Black adults in Montreal, Quebec
Authors: Williams Khandideh K. A. , Baidoobonso Shamara , Lofters Aisha , Haggerty Jeannie , Leblanc Isabelle , Adams Alayne M. 
Published: November 2024

Abstract
Background
Racism has been shown to impact the health of Black persons through its influence on health care, including its expression through implicit biases in provider training, attitudes, and behaviours. Less is known about the experiences of racism in contexts outside of the USA, and how race and racism interact with other social locations and systems of discrimination to shape Black patients’ experiences of racism in health care encounters. To help address this gap, this study examined diverse Black individuals’ perceived experiences of, and attitudes towards, anti-Black racism and racial discrimination in Canadian health care, specifically in Montreal, Quebec.

Methods
This descriptive qualitative study adopted a social constructionist approach. Employing purposive maximal variation and snowball sampling strategies, eligible study participants were: self-identified Black persons aged 18 years and older who lived in Montreal during the COVID-19 pandemic, who could speak English or French, and who were registered with the Quebec medical insurance program. In-depth interviews were conducted, and a Framework Analysis approach guided the systematic exploration and interpretation of data using an intersectionality lens.

Results
We interviewed 32 participants, the majority of whom were women (59%), university educated (69%), and modestly comfortable financially (41%), but diverse in terms of age (22 to 79 years), country of origin, and self-defined ethnicity. We identified five major themes demonstrating substantial variations in perceived racism in health care that are influenced by unique social locations such as gender identity, age, and immigration history: (1) no perceptions of racism in health care, (2) ambiguous perceptions of racism in health care, (3) perceptions of overt interpersonal racism in health care, (4) perceptions of covert interpersonal racism in health care (including the downplaying of health concerns, stereotyping, and racial microaggressions), and (5) perceptions of systemic racism in health care.

Conclusions
Perceptions of anti-Black racism and racial discrimination in Canadian health care are complex and may include intra-racial group differences. This study begins to address the dearth of empirical research documenting experiences of anti-Black racism in health care in Quebec, highlighting a continued need for serious consideration of the ways in which racism may manifest in the province, as well as a need for anti-racist advocacy. Advancing racial health equity requires greater sensitivity from providers and decision makers to variations in Black patients’ health care experiences, towards ensuring that they have access to high quality and equitable health care services.
Interventions employed to address vaccine hesitancy among Black populations outside of African and Caribbean countries: a scoping review
Authors: Majekodunmi Precious , Tulli-Shah Mia , Kemei Janet , Kayode Ibukun , Maduforo Aloysius Nwabugo , Salami Bukola 
Published: November 2024

Abstract
Background
Black people are disproportionately affected by structural and social determinants of health, resulting in greater risks of exposure to and deaths from COVID-19. Structural and social determinants of health feed vaccine hesitancy and worsen health disparities.

Objective
This scoping review explored interventions that have been employed to address vaccine hesitancy among Black population outside of African and Caribbean countries. This review provides several strategies for addressing this deep-rooted public health problem.

Methods
The scoping review followed the five-step framework outlined by Arksey and O’Malley. It complies with reporting guidelines from the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Research studies that examined interventions utilized to promote vaccine confidence within Black populations living outside of African and Caribbean countries were reviewed.

Findings
A total of 20 articles met the inclusion criteria for this study: 17 were quantitative studies and three were mixed-method studies. This scoping review highlighted six themes: educational advancement, messaging, multi-component approaches, outreach efforts, enhancing healthcare access, and healthcare provider leadership.

Conclusion
The review identified effective interventions for addressing vaccine hesitancy among Black populations outside Africa and the Caribbean, emphasizing education, multidimensional approaches, and healthcare provider recommendations. It calls for more qualitative research and interventions in countries like Canada and the UK to enhance vaccine confidence and reduce mistrust.
Status of “African research and its contribution to global health research: a review and an opinion”
Authors: Ger Norah , Lugossy Anne-Marie , Petrucka Pammla 
Published: November 2024

Abstract
Aim
Research is key to the development of any nation, with health research being of high value to society. Research provides data that is useful for the generation and provision of knowledge needed for policy making, planning and strategic management to develop nations. Despite the African population accounting for nearly 14% of the world’s population, little published research originates from African scholars.

Purpose
The purpose of this article is to highlight the reasons for the lack of robust research by scientists from African low-and-middle-income countries and to emphasize the inequity experienced by African scientists in global health research. Possible solutions to the dearth in African global health research are equally explored.

Findings
Insufficient research has led to poor growth, development and advancements in health in Africa. A significant gap in African-led and published research, lack of mentorship, inequitable access to research funding and grant eligibility, and increased dependency on foreign organizations have contributed to the lack of sustainability and failure of African research.

Conclusion
Research is crucial for national development, especially in health. However, African researchers are underrepresented in global publications. To optimize research, local needs and African researchers must be prioritized, and research systems in African institutions must be strengthened. Additionally, the international community must respect, be transparent, and support research development in Africa. These efforts are essential for fostering a robust research environment, addressing global health challenges, and promoting sustainable development across Africa and LMICs.
Genomic epidemiology of early SARS-CoV-2 transmission dynamics in Bangladesh
Authors: Carnegie L. , McCrone J. T. , du Plessis L. , Hasan M. , Ali M.Z. , Begum R. , Hassan M.Z. , Islam S. , Rahman M.H. , Uddin A.S.M. , Sarker M.S. , Das T. , Hossain M. , Khan M. , Razu M.H. , Akram A. , Arina S. , Hoque E. , Molla M.M.A. , Nafisaa T. , Angra P. , Rambaut A. , Pullan S.T. , Osman K.L. , Hoque M.A. , Biswas P. , Flora M.S. , Raghwani J. , Fournié G. , Samad M.A. , Hill S.C. 
Published: November 2024

Abstract
Background
Genomic epidemiology has helped reconstruct the global and regional movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there is still a lack of understanding of SARS-CoV-2 spread in some of the world’s least developed countries (LDCs).

Methods
To begin to address this disparity, we studied the transmission dynamics of the virus in Bangladesh during the country’s first COVID-19 wave by analysing case reports and whole-genome sequences from all eight divisions of the country.

Results
We detected > 50 virus introductions to the country during the period, including during a period of national lockdown. Additionally, through discrete phylogeographic analyses, we identified that geographical distance and population -density and/or -size influenced virus spatial dispersal in Bangladesh.

Conclusions
Overall, this study expands our knowledge of SARS-CoV-2 genomic epidemiology in Bangladesh, shedding light on crucial transmission characteristics within the country, while also acknowledging resemblances and differences to patterns observed in other nations.
Toxicity assessment following conventional radiation therapy and pulsed low dose rate radiation therapy: an in vivo animal study
Authors: Salem Noha Roshdy , Eldib Ahmed , El-Sayed E. M. , Mostafa Ehab , Desouky Omar S. 
Published: November 2024

Abstract
Background
Pulsed low dose rate radiotherapy (PLDR) is a new radiation delivery method, in which the fractional dose is divided into sub-fractional doses with periodical time breaks in between. The goal of our study is to assess the toxicity on healthy tissues resulting from PLDR as compared to conventional radiotherapy (CRT) using the same physical X-ray dose.

Methods
We analyzed the weight and survival time for CRT and PLDR groups and studied the inflammatory cytokine transforming Growth Factor-β (TGF-β), usually released following irradiation. Histopathological and immunohistochemical analyses were conducted for intestinal and bone marrow tissues from rats subjected to 8 Gy whole- body irradiation using CRT and PLDR techniques. We investigated genotoxicity by performing a comet assay (CA) in splenic tissues.

Results
Our findings showed an improvement in survival time with PLDR versus CRT by 82%.The mean survival time for CRT rats’ group was 6.3 days, while it was 35.9 days for PLDR group.The weight of CRT group decreased gradually by 3.7%, while weight of PLDR group increased gradually by 2.4%.CRT resulted in more cellular atrophy in bone marrow and intestinal tissues than in PLDR treatments as shown by hematoxylin and eosin staining analysis. In addition, the transforming growth factor-β (TGF-β) expression in bone marrow and intestinal tissues of CRT was higher than those expressed in tissues from PLDR as demonstrated by the Immuno reactive score (IRS). It was10(0.53) and 9.8(0.55) for BM and intestinal tissues, respectively from CRT group and 5.8(0.63) for PLDR for both tissues. The measured CA parameters were larger with CRT compared to PLDR, where the Tail Length (TL), Tail DNA % (TD%) and Tail Moment (TM) measurements were 25.4(3.4), 56.5(7.6) % and 20.5(3.5) for CRT, 7.3(1.9), 30.0(7.2) % and 5.7(1.8) for PLDR, with P value 0.000064, 0.0004 and 0.00017, respectively.

Conclusion
This study indicates that PLDR can reduce the toxicity on normal tissues compared to CRT.
Mental health needs in war-affected refugee children: barriers, gaps, and strategies for effective care
Authors: Khosravi Mohsen 
Published: November 2024

Abstract
War-affected refugee children often experience significant disruptions to their mental health due to exposure to traumatic events, displacement, and the challenges of resettlement. This comprehensive overview examines the substantial mental health needs of these children and identifies the barriers and gaps that hinder effective mental health care delivery. The study highlights the critical aspects of mental health requirements, including the impact of trauma and displacement, and explores the systemic obstacles that prevent adequate access to care. By addressing these barriers and gaps, the paper aims to inform strategies for improving mental health services for war-affected refugee children, ultimately contributing to better mental health outcomes for this vulnerable population.