bluuebunny/crossref_metadata_2025_split huggingface dataset:
It takes more than rainbows: Supporting sexual and gender minority patients with trauma‐informed cancer care
Authors: Sinko Laura , Ghazal Lauren V. , Fauer Alex , Wheldon Christopher W. 
Published: November 2023

AbstractBackground/PurposeThe American Society of Clinical Oncology has called for an increased priority to improve cancer care for sexual and gender minority (SGM) populations because of heightened risk of receiving disparate treatment and having suboptimal experiences, including perceived discrimination. We demonstrate how integrating trauma‐informed care (TIC) principles across the cancer continuum is a key strategy to improving care delivery and outcomes among SGM populations.MethodThis empirically informed perspective expands on the concepts generated through the American Society of Clinical Oncology position statement and uses the Substance Abuse and Mental Health Services Association’s “Four Rs” Toward Trauma Informed Care: Realize, Recognize, Response, and Resist Traumatization.ResultsRecommendations for each component of TIC include: (1) Realize: Implement SGM cultural humility training, including modules on SGM‐specific trauma, discrimination, harassment, and violence; (2) Recognize: Routinely screen for emotional distress using methods to ensure privacy, and/or normalize mental health screenings to cancer patients; (3) Respond: Create and widely disseminate policies and patients’ rights that prohibit discrimination and ensure access to gender‐neutral clinical environments; and (4) Resist Traumatization: Establish and respond to quality metrics (e.g., standardized patients, patient satisfaction surveys) that are informed by a community advisory board with the purpose of ensuring and maintaining quality care.Conclusions and ImplicationsIntegrating TIC principles into cancer care for SGM populations is crucial to address disparities in treatment and clinical outcomes. Our recommendations offer practical approaches for oncology teams to implement TIC care and ensure equitable and inclusive cancer care for patients and their families.
An invisible population: Late‐stage cancer diagnosis for people with intellectual or developmental disability
Authors: McMahon Martin , McCallion Phillip , McCarron Mary 
Published: November 2023

Mahar et al. found that people with intellectual or developmental disabilities are more likely to be diagnosed with metastatic breast (female) and colorectal cancer in comparison to the general population. This editorial discusses the urgent need to develop effective strategies aimed at reducing this inequity for people with intellectual or developmental disabilities.
Three‐dimensional fluid–structure interaction simulation of the Wheatley aortic valve
Authors: Oliveira Hugo L. , Buscaglia Gustavo C. , Paz Rodrigo R. , Del Pin Facundo , Cuminato José A. , Kerr Monica , McKee Sean , Stewart Iain W. , Wheatley David J. 
Published: November 2023

AbstractValvular heart diseases (such as stenosis and regurgitation) are recognized as a rapidly growing cause of global deaths and major contributors to disability. The most effective treatment for these pathologies is the replacement of the natural valve with a prosthetic one. Our work considers an innovative design for prosthetic aortic valves that combines the reliability and durability of artificial valves with the flexibility of tissue valves. It consists of a rigid support and three polymer leaflets which can be cut from an extruded flat sheet, and is referred to hereafter as the Wheatley aortic valve (WAV). As a first step towards the understanding of the mechanical behavior of the WAV, we report here on the implementation of a numerical model built with the ICFD multi‐physics solver of the LS‐DYNA software. The model is calibrated and validated using data from a basic pulsatile‐flow experiment in a water‐filled straight tube. Sensitivity to model parameters (contact parameters, mesh size, etc.) and to design parameters (height, material constants) is studied. The numerical data allow us to describe the leaflet motion and the liquid flow in great detail, and to investigate the possible failure modes in cases of unfavorable operational conditions (in particular, if the leaflet height is inadequate). In future work the numerical model developed here will be used to assess the thrombogenic properties of the valve under physiological conditions.
An alternative processing approach to increase CD138 intensity in flow cytometric analysis of plasma cells
Authors: Kumar Deepak , Kiran F. N. U. , Wheeler Amanda , Dellamano Rory , Hammer Richard D. 
Published: November 2023

AbstractBackgroundSurface median immunofluorescence intensity (MFI) of plasma cells antigens, particularly CD138, by flow cytometry underestimates plasma cell populations when compared with that estimated by morphological assessment on Wright's‐stained slides. CD138 MFI using traditional sample preparation methods for flow cytometric analysis is often dim and difficult to interpret due to multiple factors. This becomes critical when diagnosing and accurately classifying plasma cell dyscrasias.MethodsIn this study, we analyzed 280 flow cytometric results collected from 2016 to 2022 for CD38 and CD138 MFI on bone marrow aspirates performed by two different methods of sample processing—traditional method of lyse‐wash and the alternative method of lyse‐no‐wash.ResultsVisual examination of histograms showed a clear advantage to CD138 expression intensity with the no‐wash method. Although no significant difference was observed in CD38 MFI between the two techniques (p = 0.3), considerable improvement was observed in CD138 MFI with the lyse‐no‐wash technique of sample processing compared with the conventional method (p = 0.003).ConclusionsWe concluded that the method of lyse‐no‐wash is superior to traditional methods especially when it comes to handling bone marrow aspirate samples for plasma cell immunophenotyping. This alternate technique increases the sensitivity of flow cytometry to detect plasma cells resulting in bright and crisp signal intensity for surface CD138. This technique may be particularly advantageous when analyzing low tumor burden such as minimal residual disease.
Estimating prevalence of early symptomatic Alzheimer's disease in the United States
Authors: Spargo Drew , Zur Richard , Lin Pei‐Jung , Synnott Patricia , Klein Eric , Hartry Ann 
Published: November 2023

AbstractINTRODUCTIONUnderstanding the prevalence of treatment‐eligible Alzheimer's disease (AD) is crucial for policy planning.METHODSWe used a comprehensive literature review and population cascade approach to estimate the number of amyloid‐positive, clinically diagnosed patients with mild cognitive impairment (MCI) or mild dementia due to AD in the United States.RESULTSAn estimated 666,646 individuals were identified as having MCI due to AD (range: 351,926–1,227,776) and 620,850 individuals as having mild dementia due to AD (range: 445,082–820,339). In a US population of 76 million individuals aged 60 or older in 2021, the estimates of MCI and mild dementia due to AD increased with age.CONCLUSIONSAs earlier diagnosis of AD and new disease‐modifying treatments become available, accurate population estimates are required to reduce uncertainty in the number of clinically diagnosed patients eligible for amyloid‐targeting therapies.
Enriching H2O through boron nitride as a support to promote hydrogen evolution from non‐filtered seawater
Authors: Gu Yanli , Nie Nanzhu , Liu Jiaxin , Yang Yu , Zhao Liang , Lv Zheng , Zhang Qi , Lai Jianping 
Published: November 2023

AbstractNonfiltered seawater electrolysis is promising for sustainable hydrogen gas. However, hydrogen production from seawater electrolysis faces many challenges, including corrosion caused by insoluble precipitates such as Cl−, Mg2+ and Ca2+ in alkaline seawater as well as marine pollutants can lead to blocking active sites, together with high energy consumption, resulting in low efficiency and poor stability of electrocatalyst, which hinders the application of seawater electrolysis technology. In this work, we report H2O enrichment of the Pt/hexagonal boron nitride (h‐BN) electrocatalyst. Electrochemical tests and in situ experiments both demonstrate that h‐BN as the support loaded Pt effectively prevents the corrosion of the cathode, the formation of fouling, and reduces energy consumption, resulting in prolonged operating stability at high current density. The electrocatalyst works stably for over 1000 h at a high current density of 500 mA cm−2 in alkaline seawater electrolytes. Pt/h‐BN shows better hydrogen evolution performance than Pt/C under industrial production conditions and has good industrial application prospects.
Environmental filtering and biotic interactions act on different facets of the diversity of benthic assemblages associated with eelgrass
Authors: Muller Alexandre , Dubois Stanislas F. , Boyé Aurélien , Becheler Ronan , Droual Gabin , Chevalier Mathieu , Pasquier Marine , Roudaut Loïg , Fournier‐Sowinski Jérôme , Auby Isabelle , Nunes Flávia L. D. 
Published: November 2023

AbstractEelgrass supports diverse benthic communities that ensure a variety of ecosystem functions. To better understand the ecological processes that shape community composition in eelgrass at local and regional scales, taxonomic and functional α‐ and β‐diversity were quantified for communities inhabiting five meadows in France. The extent to which environmental factors affected local and regional benthic communities was quantified by considering their direct and indirect effects (through morphological traits of eelgrass) using piecewise structural equation modeling (pSEM). Communities supported by eelgrass had higher species abundances, as well as taxonomic and functional diversity compared to nearby bare sediments. No significant differences were found between communities from the center relative to the edges of meadows, indicating that both habitats provide similar benefits to biodiversity. The presence of a few abundant species and traits suggests moderate levels of habitat filtering and close associations of certain species with eelgrass. Nevertheless, high turnover of a large number of rare species and traits was observed among meadows, resulting in meadows being characterized by their own distinct communities. High turnover indicates that much of the community is not specific to eelgrass, but rather reflects local species pools. pSEM showed that spatial variation in community composition (β‐diversity) was primarily affected by environmental conditions, with temperature, current velocity, and tidal amplitude being the most significant explanatory variables. Local richness and abundance (α‐diversity) were affected by both environment and morphological traits. Importantly, morphological traits of Zostera marina were also influenced by environmental conditions, revealing cascading effects of the environment on assemblages. In sum, the environment exerted large effects on community structure at both regional and local scales, while plant traits were only pertinent in explaining local diversity. This complex interplay of processes acting at multiple scales with indirect effects should be accounted for in conservation efforts that target the protection of biodiversity.
The prooxidant effect of natural antioxidants combination when co‐encapsulated to chia oil‐based nutraceutical edible powders: More is not always better
Authors: Acosta Carolina Anabella , Spotti María Laura , Vassallo Massimiliano , Spotti María Julia , Carrara Carlos Roberto , Fioramonti Silvana Alejandra 
Published: November 2023

AbstractChia oil (CO) is the vegetable source with the highest ω − 3 polyunsaturated fatty acids (PUFAs) proportion known to date (61%–70%). Although this is favorable from a nutritional point of view, higher contents of ω − 3 PUFAs result in shorter shelf life and poorer oxidative stability. The objective of this work was to design edible oil powders of CO co‐encapsulated with commercial antioxidant‐rich sources—containing β‐carotene (BC), astaxanthin (ASX), and vitamin E (VE), either alone or combined (BC–VE and ASX–VE)—to prolong its oxidative stability. To carry out this, spray‐dried microcapsules were produced through oil‐in‐water double‐layered emulsions using whey proteins and pectin. Spray‐dried capsules were stored at 4 and 30°C, and weekly determinations of primary and secondary oxidation compounds were carried out, by measuring peroxide value (PV) and thiobarbituric reactive substances. CO microcapsules with just one commercial antioxidant‐rich source played a key role to keep oxidative indicators below recommended limits (PV < 15 meq kg−1 oil) when storing powders at 30°C, being ASX the best option, whereas there was no significant effect in oxidation when stored at 4°C. Nevertheless, when combining commercial antioxidant sources (BC–VE and ASX–VE), a marked prooxidant effect was observed, exceeding PV threshold at both temperatures after 2 months of storage.Practical Applications: Combination of chia oil and natural antioxidant commercial sources in edible powders constitutes a promising commodity to design potentially anti‐inflammatory nutritional interventions to prevent chronic noncommunicable diseases. This study contributes to show that mixing different antioxidants with chia oil might have a detrimental effect on oil oxidative stability during storage, so caution must be applied when formulating this type of functional ingredients as more is not always better. The goal of this contribution is that it was possible to obtain an easy‐to‐handle powder nutraceutical ingredient containing both chia oil and astaxanthin (using antioxidant concentrations that might have a significant effect on human health) that could be stored at 30°C up to 8 weeks, keeping oxidative indicators below the limits recommended by Codex Alimentarius (peroxide value <15 meq kg−1 oil).
Response to discussion of “Seismic damage analysis due to near‐fault multipulse ground motion”
Authors: Chen Guan , Yang Jiashu , Wang Ruohan , Li Kaiqi , Liu Yong , Beer Michael 
Published: November 2023

AbstractThe authors thank the discusser for the attention and interests on our previous work, entitled “Seismic damage analysis due to near‐fault multipulse ground motion” (referred to as the original paper/work in the following text). To demonstrate the increased seismic demands required by multipulse ground motions compared to non‐ and single‐pulse ground motions, three cases were illustrated in the original work, including frame structures, a soil slope and a concrete dam. The discusser, Dr M.Amin Hariri‐Ardebili, raised concerns on the seismic response of the dam, together with the optimal intensity measure of ground motions. Specifically, four subissues are involved, including effectiveness of the numerical model of dam, the damage index for dam, the selection strategy for input ground motions, and the ground motion intensity measures. Detailed responses to these issues are provided. In short, the main conclusion in the original paper that the multipulse ground motions potentially cause more severe damage compared to non‐ and single‐pulse ground motions is reliable.
Vaccine‐skeptic physicians and patient vaccination decisions
Authors: Steinmayr Andreas , Rossi Manuel 
Published: November 2023

AbstractWhat is the role of general practitioners (GPs) in supporting or hindering public health efforts? We investigate the influence of vaccine‐skeptic GPs on their patients' decisions to get a COVID‐19 vaccination. We identify vaccine‐skeptic GPs from the signatories of an open letter in which 199 Austrian physicians expressed their skepticism about COVID‐19 vaccines. We examine small rural municipalities where patients choose a GP primarily based on geographic proximity. These vaccine‐skeptic GPs reduced the vaccination rate by 5.6 percentage points. This estimate implies that they discouraged 7.9% of the vaccinable population. The effect appears to stem from discouragement rather than rationing vaccine access.
Tumor budding to investigate local invasion, metastasis, and prognosis of head and neck carcinoma: A systematic review
Authors: Zanoletti Elisabetta , Daloiso Antonio , Nicolè Lorenzo , Cazzador Diego , Mondello Tiziana , Franz Leonardo , Astolfi Laura , Marioni Gino 
Published: November 2023

AbstractThe aim of this systematic review is to shed light on the role of tumor budding (TB) in the biology, behavior, and prognosis of head and neck squamous cell carcinoma (HNSCC). A search was run in PubMed, Scopus, and Embase databases following PRISMA guidelines. After full‐text screening and application of inclusion/exclusion criteria, 36 articles were included. Several investigations support the prognostic role of TB, which might play a role in selecting rational treatment strategies. To achieve this goal, further research is needed for greater standardization in TB quantification. Although TB is not included as a negative prognostic factor in the current management guidelines, it might be reasonable to consider a closer follow‐up for HNSCC cases with high histopathological evidence of TB.
The challenge of FIGO type 3 leiomyomas and infertility: Exploring therapeutic alternatives amidst limited scientific certainties
Authors: Favilli Alessandro , Mazzon Ivan , Etrusco Andrea , Dellino Miriam , Laganà Antonio Simone , Tinelli Andrea , Chiantera Vito , Cicinelli Ettore , Gerli Sandro , Vitagliano Amerigo 
Published: November 2023

AbstractUterine leiomyomas (ULs) are non‐cancerous tumors composed of smooth muscle cells that develop within the myometrium and represent the most prevalent pathological condition affecting the female genital tract. Despite the volume of available research, many aspects of ULs remain unresolved, making it a “paradoxical disease” where the increase in available scientific literature has not been matched by an increase in solid evidence for clinical management. Fertility stands at the top of the list of clinical issues where the role of ULs is still unclear. The leiomyoma subclassification system, released by the International Federaion of Gynecology and Obstetrics (FIGO) in 2008, introduced a new and more effective way of categorizing uterine fibroids. The aim was to go beyond the traditional classification “subserosal, intramural and submucosal”, facilitating a detailed examination of individual ULs impact on the female reproductive system. The “type 3 UL” is a special type of myoma, characterized by its complete myometrial development while encroaching the endometrium. It is a unique “hybrid” between a submucous and an intramural UL, that may exert a detrimental “double hit” mechanism, which is of particular interest in patients wishing pregnancy. To date, no robust evidence is available regarding the management of type 3 ULs. The aim of this narrative review is to provide a comprehensive overview of the physiopathological mechanisms that type 3 UL may exert on fertility, and to present new perspectives that may help us to better understand both the need for and the methods of treating this unique type of fibroid.
Maturity as a critical sustainability factor for e‐government: Toward a conceptual framework
Authors: Feleke Hiwot , Lessa Lemma 
Published: November 2023

AbstractExtant literature reveals that many e‐government initiatives fail especially in developing countries. Despite the alarming failure rate of e‐government initiatives, governments of developing countries are allocating a huge budget to support and improve e‐government services. Prior research suggested that maturity is a prerequisite for e‐government sustainability, but the relationship between e‐government maturity and sustainability is not investigated. Hence, this research is aimed at developing a conceptual framework that maps e‐government maturity to a sustainable e‐government service. First, the determinants of e‐government maturity and sustainability were derived from the extant literature. Then, the proposed conceptual framework is revised based on qualitative research using a multiple exploratory case study considering four G2C cases selected from the e‐government portal of Ethiopia. The conceptual framework was evaluated by domain experts, and the empirical data were analyzed using the thematic analysis technique. The study results show that manager's commitment to prioritize e‐government projects, availability of an ICT department with an independent annual budget for the e‐government development, human resource capability, degree and frequency of customer contacts, ICT infrastructure development, integration, website age, legal and political strategies, organizational e‐government operational plan, and e‐payments were identified to be the determinants of e‐government maturity. The study contributes to e‐government literature by providing a better understanding of the determinants of e‐government service maturity and sustainability and the link between the two constructs. The outcome of the research could also be of value for practitioners as a quality tool to assess the maturity and sustainability of e‐government initiatives. Evaluating the applicability of the proposed framework in different country contexts, a cross‐case study across nations, and conducting a longitudinal investigation of e‐government maturity and sustainability are avenues for future research.
A fog‐computing architecture for network public opinion monitoring based on intelligent semantic recognition
Authors: Xu Jing 
Published: November 2023

AbstractCurrently, the online data contains rich user emotional information and public opinion information. These data can provide massive support for network public opinion monitoring and analysis. However, there are two problems in the network public opinion analysis of the online data. On the one hand, a vast amount of online data with discursiveness and concealment are processed in the cloud platforms, which consumes a long time. On the other hand, the massive online public opinion data is disperse and hidden, resulting in the dependence on manual screening for the analysis of public opinion. Therefore, it is still an important challenge to study the efficient and low‐latency extraction of valuable information from network public opinion. In this paper, we proposed a fog computing based framework using the technologies of intelligent semantic recognition and data mining for the analysis of network public opinion. Firstly, we build a fog computing architecture to collect the text data of network public opinion. Then, an efficient network public opinion model is constructed by intelligence semantic recognition. Finally, we achieve the function of public opinion analysis and early warning. The experimental results show that the method proposed in this paper achieves better performance against some existing methods.