bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of intrinsic capacity decline among community-dwelling older adults: a systematic review and meta-analysis
Authors: Cao Xia , Yi Xuanzi , Chen Hui , Tian Yusheng , Li Sihong , Zhou Jiansong 
Published: August 2024

Abstract
Background
The concept of intrinsic capacity (IC) was introduced to define healthy aging and active aging based on functional capacity, yet there is limited understanding of the risk of IC decline at a population level.

Aims
To consolidate existing evidence for rates of IC decline and risk factors among community-dwelling adults 60 years or older.

Methods
According to the PRISMA guidelines, the literature search was independently conducted by two researchers in 8 databases from inception to January 2024 without language restrictions using combinations of free words and subject words. Qualities of included studies were assessed using Joanna Briggs Institute’s (JBI’s) critical appraisal checklist for prevalence studies. To pool the data, a random-effect meta-analysis was performed, followed by subgroup analysis and sensitivity analysis. All analyses were performed by Stata14.0.

Results
From 1594 records, 15 studies were extracted with 33,070 participants for meta-analysis. The pooled prevalence of IC decline in community settings was 67.8% (95% CI: 57.0-78.5%; P < 0.001). The prevalence of IC decline in China (66.0%; 95% CI: 53.2-78.9%) was found to be slightly lower than in other countries/regions (73.0%; 95% CI: 59.8-86.3%); however, this difference was not statistically significant. Other subgroup analyses revealed no statistically significant differences in prevalence. Age, hypertension, diabetes, gender, education level, living status, smoking, regular exercise, marital status, and osteoarthritis are associated with IC decline.

Conclusion
More than two-thirds of older adults in the community are affected by IC decline, and age, hypertension, diabetes, female sex, low education level, living alone, smoking, irregular exercise, unmarried, and osteoarthritis are all risk factors for IC decline.
A Systematic Review Exploring the Effectiveness of Body Image Interventions Among Boys
Authors: Ahuja Latika , Schneider Jekaterina , Budhraja Mahira , Diedrichs Phillippa C. , Williamson Heidi 
Published: August 2024

Abstract
Body image concerns significantly impact boys’ physical and mental health. While several reviews synthesize evidence on body image interventions for mixed-gender adolescents, a systematic review exclusively focusing on boys is currently missing. Thus, this systematic review synthesizes evidence on universal psychosocial interventions targeting body image among boys and identifies effective approaches for enhancing their body image. Searches were conducted across seven databases until February 2024. Forty-one studies were included and assessed for quality across domains such as selection bias, study design, and methods. Three studies exclusively targeted boys, while 38 involved mixed-gender groups. Multiple therapeutic approaches were used across the interventions, including media literacy, socio-cognitive approaches, combined cognitive dissonance and media literacy, positive body image, compassion and mindfulness, and other approaches, with no single approach proving universally effective. Some promise for interventions employing positive body image and embodiment techniques was noted. Few interventions showed effectiveness on boys’ body image but most benefited girls. Further, findings were inconsistent across outcomes, with lower-quality studies driving evidence of effectiveness. These findings highlight that the effectiveness of current body image interventions among boys is inconclusive, emphasizing the urgent need for improvement or development of new interventions tailored specifically to address boys’ body image concerns.
In vitro investigations on the effects of graphene and graphene oxide on polycaprolactone bone tissue engineering scaffolds
Authors: Hou Yanhao , Wang Weiguang , Bartolo Paulo 
Published: August 2024

AbstractPolycaprolactone (PCL) scaffolds that are produced through additive manufacturing are one of the most researched bone tissue engineering structures in the field. Due to the intrinsic limitations of PCL, carbon nanomaterials are often investigated to reinforce the PCL scaffolds. Despite several studies that have been conducted on carbon nanomaterials, such as graphene (G) and graphene oxide (GO), certain challenges remain in terms of the precise design of the biological and nonbiological properties of the scaffolds. This paper addresses this limitation by investigating both the nonbiological (element composition, surface, degradation, and thermal and mechanical properties) and biological characteristics of carbon nanomaterial-reinforced PCL scaffolds for bone tissue engineering applications. Results showed that the incorporation of G and GO increased surface properties (reduced modulus and wettability), material crystallinity, crystallization temperature, and degradation rate. However, the variations in compressive modulus, strength, surface hardness, and cell metabolic activity strongly depended on the type of reinforcement. Finally, a series of phenomenological models were developed based on experimental results to describe the variations of scaffold’s weight, fiber diameter, porosity, and mechanical properties as functions of degradation time and carbon nanomaterial concentrations. The results presented in this paper enable the design of three-dimensional (3D) bone scaffolds with tuned properties by adjusting the type and concentration of different functional fillers.
Graphic abstract
The impact of COVID-19 on health-related quality of life: a systematic review and evidence-based recommendations
Authors: Xu Feifei , Brodszky Valentin 
Published: August 2024

Abstract
Objective
This systematic review examines the impact of COVID-19 on Health-Related Quality of Life (HRQoL) across different populations, focusing on demographic, socio-economic, and COVID-19-related factors.

Methods
A comprehensive search of PubMed from 2020 to 2022 was conducted, identifying 37 studies that met the inclusion criteria. Studies were assessed using the Appraisal Tool for Cross-Sectional Studies, Newcastle–Ottawa Scale, and Consolidated Health Economic Evaluation Reporting Standards tools. Data extraction included study characteristics, HRQoL measures, and health state utility values.

Results
Thirty-seven studies were conducted with a total of 46,709 individuals and 274 HSUVs ranging from 0.224 to 1. Research included Europe (n = 20), North America (n = 4), Asia (n = 11), South America (n = 1), and Africa (n = 1). Utility was measured using 15D (n = 3), EQ-5D-5L (n = 24), EQ-5D-3L (n = 8), VAS (n = 1), and TTO (n = 1). The review found significant decreases in HRQoL among COVID-19 survivors, particularly those with severe symptoms, due to persistent fatigue, breathlessness, and psychological distress. Quarantine and isolation measures also negatively impacted HRQoL, with increased anxiety and depression. Vaccination status influenced HRQoL, with vaccinated individuals reporting better outcomes. Socio-demographic factors such as age, gender, education, employment, marital status, and income significantly affected HRQoL, with older adults, females, and unemployed individuals experiencing lower HRQoL.

Conclusions
COVID-19 has profoundly affected HRQoL, highlighting the need for comprehensive post-recovery rehabilitation programs and targeted public health interventions. Addressing socio-demographic disparities is crucial to mitigate the pandemic’s impact on HRQoL. Policymakers and healthcare providers should implement strategies to support affected populations, emphasizing mental health support, social support systems, and vaccination programs.
Deciphering the Isotopic Imprint of Nitrate to Reveal Nitrogen Source and Transport Mechanisms in a Tile‐Drained Agroecosystem
Authors: Hu Yinchao , Yu Zhongjie , Yang Wendy H. , Margenot Andrew J. , Gentry Lowell E. , Wander Michelle M. , Mulvaney Richard L. , Mitchell Corey A. , Guacho Carlos E. 
Published: August 2024

AbstractInstallation of subsurface drainage systems has profoundly altered the nitrogen cycle in agricultural regions across the globe, facilitating substantial loss of nitrate (NO3−) to surface water systems. Lack of understanding of the sources and processes controlling NO3− loss from tile‐drained agroecosystems hinders the development of management strategies aimed at reducing this loss. The natural abundance nitrogen and oxygen isotopes of NO3− provide a valuable tool for differentiating nitrogen sources and tracking the biogeochemical transformations acting on NO3−. This study combined multi‐years of tile drainage measurements with NO3− isotopic analysis to examine NO3− source and transport mechanisms in a tile‐drained corn‐soybean field. The tile drainage NO3− isotope data were supplemented by characterization of the nitrogen isotopic composition of potential NO3− sources (fertilizer, soil nitrogen, and crop biomass) in the field and the oxygen isotopic composition of NO3− produced by nitrification in soil incubations. The results show that NO3− isotopes in tile drainage were highly responsive to tile discharge variation and fertilizer input. After accounting for isotopic fractionations during nitrification and denitrification, the isotopic signature of tile drainage NO3− was temporally stable and similar to those of fertilizer and soybean residue during unfertilized periods. This temporal invariance in NO3− isotopic signature indicates a nitrogen legacy effect, possibly resulting from N recycling at the soil microsite scale and a large water storage for NO3− mixing. Collectively, these results demonstrate how combining field NO3− isotope data with knowledge of isotopic fractionations can reveal mechanisms controlling NO3− cycling and transport under complex field conditions.
Revealing the crucial roles of suppressive immune microenvironment in cardiac myxoma progression
Authors: Jiang Zedong , Kang Qianlong , Qian Hong , Xu Zhijie , Tong Huan , Yang Jiaqing , Li Li , Li Renwei , Li Guangqi , Chen Fei , Lin Nan , Zhao Yunuo , Shi Huashan , Huang Juan , Ma Xuelei 
Published: August 2024

AbstractCardiac myxoma is a commonly encountered tumor within the heart that has the potential to be life-threatening. However, the cellular composition of this condition is still not well understood. To fill this gap, we analyzed 75,641 cells from cardiac myxoma tissues based on single-cell sequencing. We defined a population of myxoma cells, which exhibited a resemblance to fibroblasts, yet they were distinguished by an increased expression of phosphodiesterases and genes associated with cell proliferation, differentiation, and adhesion. The clinical relevance of the cell populations indicated a higher proportion of myxoma cells and M2-like macrophage infiltration, along with their enhanced spatial interaction, were found to significantly contribute to the occurrence of embolism. The immune cells surrounding the myxoma exhibit inhibitory characteristics, with impaired function of T cells characterized by the expression of GZMK and TOX, along with a substantial infiltration of tumor-promoting macrophages expressed growth factors such as PDGFC. Furthermore, in vitro co-culture experiments showed that macrophages promoted the growth of myxoma cells significantly. In summary, this study presents a comprehensive single-cell atlas of cardiac myxoma, highlighting the heterogeneity of myxoma cells and their collaborative impact on immune cells. These findings shed light on the complex pathobiology of cardiac myxoma and present potential targets for intervention.
Measuring vaccination coverage and concerns of vaccine holdouts from web search logs
Authors: Chang Serina , Fourney Adam , Horvitz Eric 
Published: August 2024

AbstractTo design effective vaccine policies, policymakers need detailed data about who has been vaccinated, who is holding out, and why. However, existing data in the US are insufficient: reported vaccination rates are often delayed or not granular enough, and surveys of vaccine hesitancy are limited by high-level questions and self-report biases. Here we show how search engine logs and machine learning can help to fill these gaps, using anonymized Bing data from February to August 2021. First, we develop a vaccine intent classifier that accurately detects when a user is seeking the COVID-19 vaccine on Bing. Our classifier demonstrates strong agreement with CDC vaccination rates, while preceding CDC reporting by 1–2 weeks, and estimates more granular ZIP-level rates, revealing local heterogeneity in vaccine seeking. To study vaccine hesitancy, we use our classifier to identify two groups, vaccine early adopters and vaccine holdouts. We find that holdouts, compared to early adopters matched on covariates, are 67% likelier to click on untrusted news sites, and are much more concerned about vaccine requirements, development, and vaccine myths. Even within holdouts, clusters emerge with different concerns and openness to the vaccine. Finally, we explore the temporal dynamics of vaccine concerns and vaccine seeking, and find that key indicators predict when individuals convert from holding out to seeking the vaccine.
Microbiome mapping in dairy industry reveals new species and genes for probiotic and bioprotective activities
Authors: De Filippis Francesca , Valentino Vincenzo , Yap Min , Cabrera-Rubio Raul , Barcenilla Coral , Carlino Niccolò , Cobo-Díaz José F. , Quijada Narciso Martín , Calvete-Torre Inés , Ruas-Madiedo Patricia , Sabater Carlos , Sequino Giuseppina , Pasolli Edoardo , Wagner Martin , Margolles Abelardo , Segata Nicola , Álvarez-Ordóñez Avelino , Cotter Paul D. , Ercolini Danilo 
Published: August 2024

AbstractThe resident microbiome in food industries may impact on food quality and safety. In particular, microbes residing on surfaces in dairy industries may actively participate in cheese fermentation and ripening and contribute to the typical flavor and texture. In this work, we carried out an extensive microbiome mapping in 73 cheese-making industries producing different types of cheeses (fresh, medium and long ripened) and located in 4 European countries. We sequenced and analyzed metagenomes from cheese samples, raw materials and environmental swabs collected from both food contact and non-food contact surfaces, as well as operators’ hands and aprons. Dairy plants were shown to harbor a very complex microbiome, characterized by high prevalence of genes potentially involved in flavor development, probiotic activities, and resistance to gastro-intestinal transit, suggesting that these microbes may potentially be transferred to the human gut microbiome. More than 6100 high-quality Metagenome Assembled Genomes (MAGs) were reconstructed, including MAGs from several Lactic Acid Bacteria species and putative new species. Although microbial pathogens were not prevalent, we found several MAGs harboring genes related to antibiotic resistance, highlighting that dairy industry surfaces represent a potential hotspot for antimicrobial resistance (AR) spreading along the food chain. Finally, we identified facility-specific strains that can represent clear microbial signatures of different cheesemaking facilities, suggesting an interesting potential of microbiome tracking for the traceability of cheese origin.
Examining geographic variation in the prevalence of household drainage types across India in 2019-2021
Authors: Jain Anoop , Harrison Caleb , Kumar Akhil , Kim Rockli , Subramanian S. V. 
Published: August 2024

AbstractThe proportion of Indian households with access to a toilet has grown considerably over the past decade. Many of these toilets rely on on-site containment, either in the form of a septic tank or soak pit. If the waste from these containers is not removed using some type of mechanized method, it can overflow into drains before flowing into treatment facilities or being discharged into water bodies. Therefore, drains are a critical part of the sanitation chain. What remains unknown, however, is what types of drains are available to households in India. Understanding this is critical given that people are at a greater risk of ingesting contaminated water and making dermal contact with pathogens if waste flows in open drains. For the first time, India’s National Family Health Survey from 2019–2021 contains data on the type of drainage available to households. Thus, the purpose of this paper is to estimate the prevalence of households relying on no drainage, open drainage, drains to soak pits, and closed drainage. We also estimate these prevalence values for each of India’s 720 districts and by urban/rural communities to understand the geographic clustering of drainage types throughout India. Overall, we found that the most common drainage type was open drains (37.5% | 95% CI: 37.3–37.6), followed by closed drains (33.9% | 95% CI: 33.7–34.0). The household prevalence of open drainage was above 42% in more than half of India’s 720 districts. Similarly, the household prevalence of closed drainage was below 24% in more than half of India’s 720 districts. We also found that open drains were more common in rural communities, while closed drains were more common in urban communities. We also found a socioeconomic gradient in terms of drainage types, with those lower on the socioeconomic spectrum more likely to have open drains or no drainage. Our results underscore the need to both geographically and socioeconomically target interventions that ensure households have access to adequate drainage. Doing so is vital to remove contamination from the environment as a means of preventing morbidity.
All real projective measurements can be self-tested
Authors: Chen Ranyiliu , Mančinska Laura , Volčič Jurij 
Published: August 2024

AbstractEntangled quantum systems feature non-local correlations that are stronger than could be realized classically. This property makes it possible to perform self-testing, the strongest form of quantum functionality verification, which allows a classical user to deduce the quantum state and measurements used to produce a given set of measurement statistics. While self-testing of quantum states is well understood, self-testing of measurements, especially in high dimensions, remains relatively unexplored. Here we prove that every real projective measurement can be self-tested. Our approach employs the idea that existing self-tests can be extended to verify additional untrusted measurements, known as post-hoc self-testing. We formalize the method of post-hoc self-testing and establish the condition under which it can be applied. Using this condition, we construct self-tests for all real projective measurements. We build on this result to develop an iterative self-testing technique that provides a clear methodology for constructing new self-tests from pre-existing ones.
A systematic review exploring the diversity and food security potential of wild edible plants in Ethiopia
Authors: Tadesse Daniel , Masresha Getinet , Lulekal Ermias , Wondafrash Melaku 
Published: August 2024

AbstractWild edible plants (WEPs) are important food sources globally due to their accessibility and affordability. In Ethiopia, where diverse cultural groups consume WEPs, this systematic review explores their diversity, edible parts, and role in supporting food security. The review examined 38 original studies on the ethnobotany of WEPs in Ethiopia from 2000 to 2022. It identified a total of 651 WEP species from 343 genera and 94 families, with the Fabaceae family having the most species (51). Herbs and shrubs were the predominant growth habits, and fruits were the most consumed plant parts. The review prioritized nine WEP species for cultivation and promotion. However, threats such as overgrazing, agricultural expansion, and the use of woody species for construction, firewood, and charcoal have depleted WEP resources and eroded traditional knowledge about their use. The review suggests that WEPs have the potential to contribute to food and nutritional security in Ethiopia if these threats are effectively managed. However, the limited coverage of ethnobotanical studies on WEPs requires further investigation. The study recommends integrating the prioritized WEPs into the national food system for promotion, cultivation, and nutrient analysis to evaluate their nutritional bioavailability.
Autistic adults have insight into their relative face recognition ability
Authors: Gehdu Bayparvah Kaur , Press Clare , Gray Katie L. H. , Cook Richard 
Published: August 2024

AbstractThe PI20 is a self-report questionnaire that assesses the presence of lifelong face recognition difficulties. The items on this scale ask respondents to assess their face recognition ability relative to the rest of the population, either explicitly or implicitly. Recent reports suggest that the PI20 scores of autistic participants exhibit little or no correlation with their performance on the Cambridge Face Memory Test—a key measure of face recognition ability. These reports are suggestive of a meta-cognitive deficit whereby autistic individuals are unable to infer whether their face recognition is impaired relative to the wider population. In the present study, however, we observed significant correlations between the PI20 scores of 77 autistic adults and their performance on two variants of the Cambridge Face Memory Test. These findings indicate that autistic individuals can infer whether their face recognition ability is impaired. Consistent with previous research, we observed a wide spread of face recognition abilities within our autistic sample. While some individuals approached ceiling levels of performance, others met the prevailing diagnostic criteria for developmental prosopagnosia. This variability showed little or no association with non-verbal intelligence, autism severity, or the presence of co-occurring alexithymia or ADHD.
Long-term trends of pH, alkalinity, and hydrogen ion concentration in an upwelling-dominated coastal ecosystem: Ría de Vigo, NW Spain
Authors: Cameselle Sara , Velo Antón , Doval María Dolores , Broullón Daniel , Pérez Fiz F. 
Published: August 2024

AbstractThe present study focuses on the Ría de Vigo (NW Spain), a coastal embayment influenced by the Canary Current Upwelling System, which is among the world’s significant Eastern Boundary Upwelling Ecosystems. The research assesses historical changes in the marine carbonate system by generating 25-year weekly time series at six stations . Assessing ocean acidification in the region is complex due to diverse factors influencing coastal carbon dynamics, making predictions more challenging. To capture the specific dynamics in Ría de Vigo, ensembles of Neural Networks were applied. These networks were trained with a data set obtained in several oceanographic cruises, in order to retrieve pH, hydrogen ion concentration and alkalinity, achieving a root mean square error of 0.0272 pH units, 0.588 nmol $$\hbox {kg}^{-1}$$

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1

, and 10.6 $$\upmu$$
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1

, respectively. Subsequently, time series of the selected variables were generated, applying data of predictors measured at the aforementioned stations . An increase in normalized alkalinity was observed for all stations, except in the surface layer at the innermost location. A decrease in pH and an increase in hydrogen ion concentration were observed for all points, with trends that exceed reported rates of ocean acidification in the open ocean.