bluuebunny/crossref_metadata_2025_split huggingface dataset:
Increasing HPV Vaccination among Low-Income, Ethnic Minority Adolescents: Effects of a Multicomponent System Intervention through a County Health Department Hotline
Authors: Bastani Roshan , Glenn Beth A. , Singhal Rita , Crespi Catherine M. , Nonzee Narissa J. , Tsui Jennifer , Chang L. Cindy , Herrmann Alison K. , Taylor Victoria M. 
Published: October 2021

Abstract

Background:
Introduction of the human papillomavirus (HPV) vaccine in 2006 was a game-changing advance in cancer control. Despite the vaccine's potential cancer prevention benefits, uptake remains low. We utilized a randomized design to evaluate a multicomponent intervention to improve HPV vaccine uptake among low-income, ethnic minority adolescents seeking services through a county health department telephone hotline.

Methods:
Hotline callers who were caregivers of never-vaccinated adolescents (11–17 years) were randomized by call-week to intervention or control conditions. The intervention included brief telephone and print education, delivered in multiple languages, and personalized referral to a low-cost/free vaccine provider. Participants completed baseline (n = 238), 3-month (n = 215), and 9-month (n = 204) telephone follow-up surveys.

Results:
HPV vaccine initiation rates increased substantially by 9-month follow-up overall, although no differences were observed between intervention and control groups (45% vs. 42%, respectively, P &gt; 0.05). We also observed significant improvements in perceived HPV risk, barriers to vaccination, and perceived knowledge in both study conditions (P &lt; 0.05).

Conclusions:
A low-intensity county hotline intervention did not produce a greater increase in HPV vaccination rates than routine practice. However, 44% of unvaccinated adolescents in both conditions received at least one dose of the vaccine, which can be viewed as a successful public health outcome. Future studies should evaluate more intensive interventions that address accessing and utilizing services in complex safety net settings.

Impact:
Study results suggest the need for investigators to be aware of the potential priming effects of study participation, which may obscure the effect of low-intensity interventions.
The Integrated Carbon Observation System in Europe
Authors: Heiskanen Jouni , Brümmer Christian , Buchmann Nina , Calfapietra Carlo , Chen Huilin , Gielen Bert , Gkritzalis Thanos , Hammer Samuel , Hartman Susan , Herbst Mathias , Janssens Ivan A. , Jordan Armin , Juurola Eija , Karstens Ute , Kasurinen Ville , Kruijt Bart , Lankreijer Harry , Levin Ingeborg , Linderson Maj-Lena , Loustau Denis , Merbold Lutz , Myhre Cathrine Lund , Papale Dario , Pavelka Marian , Pilegaard Kim , Ramonet Michel , Rebmann Corinna , Rinne Janne , Rivier Léonard , Saltikoff Elena , Sanders Richard , Steinbacher Martin , Steinhoff Tobias , Watson Andrew , Vermeulen Alex T. , Vesala Timo , Vítková Gabriela , Kutsch Werner 
Published: October 2021

Abstract
Since 1750, land-use change and fossil fuel combustion has led to a 46% increase in the atmospheric carbon dioxide (CO2) concentrations, causing global warming with substantial societal consequences. The Paris Agreement aims to limit global temperature increases to well below 2°C above preindustrial levels. Increasing levels of CO2 and other greenhouse gases (GHGs), such as methane (CH4) and nitrous oxide (N2O), in the atmosphere are the primary cause of climate change. Approximately half of the carbon emissions to the atmosphere are sequestered by ocean and land sinks, leading to ocean acidification but also slowing the rate of global warming. However, there are significant uncertainties in the future global warming scenarios due to uncertainties in the size, nature, and stability of these sinks. Quantifying and monitoring the size and timing of natural sinks and the impact of climate change on ecosystems are important information to guide policy-makers’ decisions and strategies on reductions in emissions. Continuous, long-term observations are required to quantify GHG emissions, sinks, and their impacts on Earth systems. The Integrated Carbon Observation System (ICOS) was designed as the European in situ observation and information system to support science and society in their efforts to mitigate climate change. It provides standardized and open data currently from over 140 measurement stations across 12 European countries. The stations observe GHG concentrations in the atmosphere and carbon and GHG fluxes between the atmosphere, land surface, and the oceans. This article describes how ICOS fulfills its mission to harmonize these observations, ensure the related long-term financial commitments, provide easy access to well-documented and reproducible high-quality data and related protocols and tools for scientific studies, and deliver information and GHG-related products to stakeholders in society and policy.
Quantitative prediction model for affinity of drug–target interactions based on molecular vibrations and overall system of ligand-receptor
Authors: Wang Xian-rui , Cao Ting-ting , Jia Cong Min , Tian Xue-mei , Wang Yun 
Published: October 2021

Abstract
Background
The study of drug–target interactions (DTIs) affinity plays an important role in safety assessment and pharmacology. Currently, quantitative structure–activity relationship (QSAR) and molecular docking (MD) are most common methods in research of DTIs affinity. However, they often built for a specific target or several targets, and most QSAR and MD methods were based either on structure of drug molecules or on structure of receptors with low accuracy and small scope of application. How to construct quantitative prediction models with high accuracy and wide applicability remains a challenge. To this end, this paper screened molecular descriptors based on molecular vibrations and took molecule-target as a whole system to construct prediction models with high accuracy-wide applicability based on dissociation constant (Kd) and concentration for 50% of maximal effect (EC50), and to provide reference for quantifying affinity of DTIs.

Results
After comprehensive comparison, the results showed that RF models are optimal models to analyze and predict DTIs affinity with coefficients of determination (R2) are all greater than 0.94. Compared to the quantitative models reported in literatures, the RF models developed in this paper have higher accuracy and wide applicability. In addition, E-state molecular descriptors associated with molecular vibrations and normalized Moreau-Broto autocorrelation (G3), Moran autocorrelation (G4), transition-distribution (G7) protein descriptors are of higher importance in the quantification of DTIs.

Conclusion
Through screening molecular descriptors based on molecular vibrations and taking molecule-target as whole system, we obtained optimal models based on RF with more accurate-widely applicable, which indicated that selection of molecular descriptors associated with molecular vibrations and the use of molecular-target as whole system are reliable methods for improving performance of models. It can provide reference for quantifying affinity of DTIs.
Genome-wide DNA methylation profile changes associated with shell colouration in the Yesso scallop (Patinopecten yessoensis) as measured by whole-genome bisulfite sequencing
Authors: Yuan Changzi , Mao Junxia , Sun Hongyan , Wang Yiying , Guo Ming , Wang Xubo , Tian Ying , Hao Zhenlin , Ding Jun , Chang Yaqing 
Published: October 2021

Abstract
Background
Mollusca, a phylum of highly rich species, possess vivid shell colours, but the underlying molecular mechanism remains to be elucidated. DNA methylation, one of the most common epigenetic modifications in eukaryotes, is believed to play a vital role in various biological processes. However, analysis of the effects of DNA methylation on shell colouration has rarely been performed in molluscs, limiting the current knowledge of the molecular mechanism of shell colour formation.

Results
In the present study, to reveal the role of epigenetic regulation in shell colouration, WGBS, the “gold standard” of DNA methylation analysis, was first performed on the mantle tissues of Yesso scallops (Patinopecten yessoensis) with different shell colours (brown and white), and DNA methylomes at single-base resolution were generated. About 3% of cytosines were methylated in the genome of the Yesso scallop. A slight increase in mCG percentage and methylation level was found in brown scallops. Sequence preference of nearby methylated cytosines differed between high and low methylation level sites and between the brown- and white-shelled scallops. DNA methylation levels varied among the different genomic regions; all the detected regions in the brown group exhibited higher methylation levels than the white group. A total of 41,175 DMRs (differentially methylated regions) were detected between brown and white scallops. GO functions and pathways associated with the biosynthesis of melanin and porphyrins were significantly enriched for DMRs, among which several key shell colour-related genes were identified. Further, different correlations between mRNA expression levels and DNA methylation status were found in these genes, suggesting that DNA methylation regulates shell colouration in the Yesso scallop.

Conclusions
This study provides genome-wide DNA methylation landscapes of Yesso scallops with different shell colours, offering new insights into the epigenetic regulatory mechanism underlying shell colour.
Cultivation of common bacterial species and strains from human skin, oral, and gut microbiota
Authors: Fleming Elizabeth , Pabst Victor , Scholar Zoe , Xiong Ruoyun , Voigt Anita Y. , Zhou Wei , Hoyt Amelia , Hardy Rachel , Peterson Anna , Beach Ryan , Ondouah-Nzutchi Yvette , Dong Jinhong , Bateman Lucinda , Vernon Suzanne D. , Oh Julia 
Published: October 2021

AbstractBackgroundGenomics-driven discoveries of microbial species have provided extraordinary insights into the biodiversity of human microbiota. In addition, a significant portion of genetic variation between microbiota exists at the subspecies, or strain, level. High-resolution genomics to investigate species- and strain-level diversity and mechanistic studies, however, rely on the availability of individual microbes from a complex microbial consortia. High-throughput approaches are needed to acquire and identify the significant species- and strain-level diversity present in the oral, skin, and gut microbiome. Here, we describe and validate a streamlined workflow for cultivating dominant bacterial species and strains from the skin, oral, and gut microbiota, informed by metagenomic sequencing, mass spectrometry, and strain profiling.ResultsOf total genera discovered by either metagenomic sequencing or culturomics, our cultivation pipeline recovered between 18.1–44.4% of total genera identified. These represented a high proportion of the community composition reconstructed with metagenomic sequencing, ranging from 66.2–95.8% of the relative abundance of the overall community. Fourier-Transform Infrared spectroscopy (FT-IR) was effective in differentiating genetically distinct strains compared with whole-genome sequencing, but was less effective as a proxy for genetic distance.ConclusionsUse of a streamlined set of conditions selected for cultivation of skin, oral, and gut microbiota facilitates recovery of dominant microbes and their strain variants from a relatively large sample set. FT-IR spectroscopy allows rapid differentiation of strain variants, but these differences are limited in recapitulating genetic distance. Our data highlights the strength of our cultivation and characterization pipeline, which is in throughput, comparisons with high-resolution genomic data, and rapid identification of strain variation.
Digital health device measured sleep duration and ideal cardiovascular health: an observational study
Authors: Leopold Jane A. , Antman Elliott M. 
Published: October 2021

Abstract
Background
Studies relying on self-reported sleep data suggest that there is an association between short and long sleep duration and less than ideal cardiovascular health. Evidence regarding the feasibility of using digital health devices to measure sleep duration and assess its relationship to ideal cardiovascular health are lacking. The objective of the present study was to utilize digital health devices to record sleep duration and examine the relationship between sleep duration and ideal cardiovascular health.

Methods
A total of 307 participants transmitted sleep duration data from digital health devices and answered the Life’s Simple 7 survey instrument to assess ideal cardiovascular health. Sleep duration was defined as adequate (7 to < 9 h per night) or non-adequate (< 7 h and ≥ 9 h).

Results
We identified three sleep-cardiovascular health phenogroups: resilient (non-adequate sleep and ideal cardiovascular health), uncoupled (adequate sleep and non-ideal cardiovascular health) or concordant (sleep and cardiovascular health metrics were aligned). Participants in the resilient phenogroup (n = 83) had better cardiovascular health factor profiles (blood pressure, blood glucose and cholesterol levels) and behaviors (healthy weight, diet, exercise, smoking) than participants in the concordant (n = 171) and uncoupled (n = 53) phenogroups. This was associated with higher Life’s Simple 7 Health Scores in the resilient phenogroup compared to the concordant and uncoupled phenogroups (7.8 ± 0.8 vs. 7.0 ± 1.4 vs. 5.6 ± 0.7, P < 0.01).

Conclusion
This study identified three distinct sleep-ideal cardiovascular health phenogroups and highlights the advantage of incorporating sleep assessments into studies of cardiovascular health. Future studies should focus on the relationship between sleep-cardiovascular phenogroups and clinical outcomes.
Clinical Trial Registration Clinicaltrials.gov NCT02958098. Date of registration: November 11, 2016.
Willingness of patients with chronic disease in rural China to contract with family doctors: implication for targeting characteristics
Authors: Li Jie , Li Jie , Fu Peipei , Chen Yan , Tang Xue , Li Zhixian , Yang Shijun , Yan Chen , Li Wenjuan , Gui Zhen , Zhou Chengchao 
Published: October 2021

Abstract
Background
Rural residents with chronic conditions have a stronger need for health services, which should make using family doctor contract services a priority. This study aimed to evaluate the rate of willingness among rural residents with chronic conditions to contract with family doctors and examine its determinants.

Methods
A cross-sectional study was conducted from May, 2018 to June, 2018 in Shandong Province in China. A total of 769 rural unsigned residents with chronic conditions were included in the analysis. Using the Andersen model as the theoretical framework, logistic regression models were chosen to analyse the factors associated with willingness to contract with family doctors.

Results
This study found that the rate of willingness to contract with family doctors among chronic patients in rural Shandong was 46.7%. A higher willingness was observed in those living a further distance from the village clinic (more than 600 m: OR = 1.85, 95%CI =1.17–2.93), having received publicity for family doctor contract services (OR = 1.71, 95% CI = 1.06–2.76), reporting need for utilizing a chronic disease management program (OR = 3.36, 95% CI = 2.20–5.23), and reporting need for higher medical insurance reimbursement (OR = 1.91, 95% CI = 1.28–2.83).

Conclusions
The prevalence of contract willingness was relatively low among unsigned rural residents with chronic conditions in rural Shandong, China. The need factors were powerful factors affecting their willingness to contract with family doctors. The government should therefore strengthen targeted publicity and education to rural residents with chronic conditions and provide targeted healthcare services, such as chronic disease management programs and medical services with higher reimbursement rates, to promote their willingness to contract with family doctors.
Association between glucocorticoids treatment and viral clearance delay in patients with COVID-19: a systematic review and meta-analysis
Authors: Li Jianbo , Liao Xuelian , Zhou Yue , Wang Luping , Yang Hang , Zhang Wei , Zhang Zhongwei , Kang Yan 
Published: October 2021

Abstract
Background
Evidence of glucocorticoids on viral clearance delay of COVID-19 patients is not clear.

Methods
In this systematic review and meta-analysis, we searched for studies on Medline, Embase, EBSCO, ScienceDirect, Web of Science, Cochrane Library, and ClinicalTrials.gov from 2019 to April 20, 2021. We mainly pooled the risk ratios (RRs) and mean difference (MD) for viral clearance delay and did subgroup analyses by the severity of illness and doses of glucocorticoids.

Results
38 studies with a total of 9572 patients were identified. Glucocorticoids treatment was associated with delayed viral clearance in COVID-19 patients (adjusted RR 1.52, 95% CI 1.29 to 1.80, I2 = 52%), based on moderate-quality evidence. In subgroup analyses, risk of viral clearance delay was significant both for COVID-19 patients being mild or moderate ill (adjusted RR 1.86, 95% CI 1.35 to 2.57, I2 = 48%), and for patients of being severe or critical ill (adjusted RR 1.59, 95% CI 1.23 to 2.07, I2 = 0%); however, this risk significantly increased for patients taking high doses (unadjusted RR 1.85, 95% CI 1.08 to 3.18; MD 7.19, 95% CI 2.78 to 11.61) or medium doses (adjusted RR 1.86, 95% CI 0.96 to 3.62, I2 = 45%; MD 3.98, 95% CI 3.07 to 4.88, I2 = 4%), rather those taking low doses (adjusted RR 1.38, 95% CI 0.94 to 2.02, I2 = 59%; MD 1.46, 95% CI −0.79 to 3.70, I2 = 82%).

Conclusions
Glucocorticoids treatment delayed viral clearance in COVID-19 patients of taking high doses or medium doses, rather in those of taking low doses of glucocorticoids.
Changes in practice patterns in Japan from before to after JSDT 2013 guidelines on hemodialysis prescriptions: results from the JDOPPS
Authors: Tomo Tadashi , Larkina Maria , Shintani Ayumi , Ogawa Tomonari , Robinson Bruce M. , Bieber Brian , Henn Lisa , Pisoni Ronald L. 
Published: October 2021

AbstractBackgroundThe Japanese Society for Dialysis Therapy (JSDT) published in 2013 inaugural hemodialysis (HD) guidelines. Specific targets include 1.4 for single-pool Kt/V (spKt/V) with a minimum dose of 1.2, minimum dialysis session length of 4 hours, minimum blood flow rate (BFR) of 200 mL/min, fluid removal rate no more than 15 mL/kg/hr, and hemodiafiltration (HDF) therapy for certain identified symptoms. We evaluated the effect of these guidelines on actual practice in the years spanning 2005 – 2018.MethodsAnalyses were carried out to describe trends in the above HD prescription practices from December 2005 to April 2013 (before guideline publication) to August 2018 based on prevalent patient cross-sections from approximately 60 randomly selected HD facilities participating in the Japan Dialysis Outcomes and Practice Patterns Study.ResultsFrom April 2006 to August 2017 continual rises occurred in mean spKt/V (from 1.35 to 1.49), and percent of patients having spKt/V>1.2 (71% to 85%). Mean BFR increased with time from 198.3 mL/min (April 2006) to 218.4 mL/min (August 2017) , along with percent of patients with BFR >200 ml/min (65% to 85%). HDF use increased slightly from 6% (April 2006 and August 2009) to 8% by April 2013, but increased greatly thereafter to 23% by August 2017. In contrast, mean HD treatment time showed little change from 2006-2017, whereas mean UFR declined from 11.3 in 2006 to 8.4 mL/Kg/hour in 2017.ConclusionsFrom 2006 – 2018 Japanese HD patients experienced marked improvement in reaching the spKt/V target specified by the 2013 JSDT guidelines. This may have been due to moderate increase in mean BFR even though mean HD session length did not change much. In addition, HDF use increased dramatically in this time period. Other HD delivery changes during this time, such as increased use of super high flux dialyzers, also merit study. While we cannot definitively conclude a causal relationship between the publication of the guidelines and the subsequent practice changes in Japan, those changes moved practice closer to the recommendations of the guidelines.
Changes in the availability of medical oxygen and its clinical practice in Ethiopia during a national scale-up program: a time series design from thirty-two public hospitals
Authors: Tolla Habtamu Seyoum , Asemere Yigeremu Abebe , Desale Alebel Yaregal , Woyessa Dinkineh Bikila , Fekadu Zinabie Feleke , Belete Alemayehu Berhanu , Battu Audrey , Lam Felix 
Published: October 2021

Abstract
Background
Oxygen therapy is a lifesaving treatment, however, in Ethiopia, oxygen is not readily available in many healthcare facilities. In 2015, the Federal Ministry of Health launched a national roadmap to increase access to oxygen. This study aims to evaluate whether availability of oxygen and its clinical practice in public hospitals of Ethiopia changed during the time the roadmap was being implemented.

Methods
Between December 2015 and December 2019, a multifaceted approach was undertaken to increase access to oxygen in public facilities in Ethiopia. The activities included formation of new policies, development of guidelines, procurement and maintenance of oxygen equipment, and training of healthcare workers. To evaluate whether access and use of oxygen changed during this period, facility-based surveys were conducted between December 2015 to December 2019. Primary data, including medical record reviews, were collected from 32 public hospitals bi-annually. A chi-square test that claimed P < 0.05 used to assess the statistical significance differences.

Results
The study was conducted in 32 public hospitals of Ethiopia, where capacity building and technical support interventions implemented. Of these 32 facilities, 15 (46.9%) were general hospitals, 10 (31.2%) were referral hospitals, and 7 (21.9%) were primary hospitals. Functional availability of oxygen has shown a statistically significant increase from 62 to 100% in the pediatric in-patient departments of general and referral hospitals (p-value < 0.001). Similarly, functional availability of pulse oximetry has shown a statistically significant increase from 45 to 96%. With regard to clinical practices, the blood oxygen saturation (SpO2) measurement at diagnosis increased from 10.2 to 75%, and SpO2 measurement at admission increased 20.5 to 83%.

Conclusions
Based on the intervention results, we conclude that multifaceted approaches targeting policy, healthcare workers’ capacity, increased device procurement, and device maintenance programs with on-site mentorship, can improve the availability of medical oxygen and pulse oximetry, as well as clinical practice of oxygen therapy in health facilities. Therefore, ensuring device availability along with regular technical support and close follow-up of healthcare workers and facilities are critical, and these interventions should be scaled further.