bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of Hypertension in the U.S. Adults: Age, Sex, Marital Status, and Ethnic Differences
Authors: wu xianjun , liu wugao , chen feng , lin dongli , ye lingyan , wu liping , mei yibin 
Published: June 2022

Abstract
Background
Hypertension is the most common modifiable risk factor for cardiovascular disease associated with significant morbidity and mortality. Up-to-date prevalence data on hypertension provide the foundation for informing population research, education, and health policy. We sought to determine differences in the prevalence of hypertension in the U.S. population according to age, sex, ethnicity, and marital status.
Methods
We performed an observational, cross-sectional study using a nationally representative sample of the US civilian noninstitutionalized population 2013 through 2018 National Health and Nutritional Examination Survey (NHANES) to determine hypertension prevalence rates.
Results
A total of 7458 participants had hypertension. The weighted prevalence of hypertension among US adults ages 18 years and older was 39.5% (95% CI, 37.10–41.89%), which represented an estimated 92.4 million persons in the United States. black participants 47.65% (CI, 45.57 to 49.73), white 40.97% (38.94 to 43.00), other racial 35.14% (31.87 to 38.42), and Hispanic 29.87% (27.60 to 32.13). Across ethnic groups, males were more likely to have hypertension, except black participants. The prevalence of hypertension increased with age. Persons with > = 75 years: OR 13.82(95%CI 11.56–16.52); male: OR 1.29(95%CI 1.17–1.42); separated: OR 1.74(95%CI 1.43–2.10) had higher rates of hypertension when compared to lowest categories.
Conclusions
As prevalence of hypertension in the US are rising, with age, sex, marital status, and racial/ethnic minority individuals being disproportionately impacted by hypertension, targeted public health efforts may reduce health disparities and decrease the overall population burden of hypertension.
Assessing Progress in Reducing the Number of Disaster-affected People: Insights from Zimbabwe
Authors: MAVHURA EMMANUEL , Aryal Komal Raj 
Published: June 2022

Abstract

In 2015, 187 countries appended their signatures to the Sendai Framework which has seven global targets. Target B calls on all nations to substantially reduce the number of people affected by disasters by 2030. In order to promote the measurement of progress in attaining Target B, the United Nations provided some technical guidance methodologies. Using a case of Zimbabwe, this study quantified the indicators of Target B to assess the country’s progress in reducing the number of people affected by disasters. Quantitative data came from public sources published by the government of Zimbabwe spanning the period 1990 to 2019. This data was analysed through 3-year and 5-year moving averages. The study also used qualitative interviews to explain the trends in disaster-affected people. Results showed a slight decrease in the number of people affected by disasters where drought was affecting millions of people on yearly basis while storms and epidemics were sporadic and characterized by big spikes. The study concluded that Zimbabwe is slowly attaining Target B. However, in order to significantly reduce the number of people affected by disasters, the study offered three policy implications including the need to strengthen drought preparedness/mitigation, and disease surveillance and control systems.
Assessment of Landslide susceptibility and risk to road network in Mt Elgon, Uganda
Authors: Nakileza Bob Roga , Mugagga Frank , Musali Paul , Nedala Shafiq 
Published: June 2022

Abstract
Globally landslides occurrence is reportedly frequent particularly in the mountainous regions causing both direct and indirect effects to various sectors including the road transport. Landslides directly cause physical impact on the road network such as deposition of debris and impartial or total erosion of road segments. This leads to increased damage costs. Indirectly landslides cause disruption of the trade and movement whenever roads are blocked and alternative routes are resorted to. Existing literature reveals limited assessment of road vulnerability to landslides in the mountain regions in Africa. This study aimed at closing this information gap by investigating the risk to different segments of the road network in the Mt Elgon region. A fuzzy logic model was used to assess and map the landslide susceptibility into low, moderate, high and very high categories. The results reveal that mid to high altitude steep and rugged areas are more susceptible to landslides. The model performance was good as revealed by high AUC of 83%. Hotspot segments, which are high risk sections of the road network need to be prioritized for monitoring and risk mitigation.
Seasonal and inter-annual sedimentation in meromictic Lake Shira (Siberia, Russia) during disturbance of meromixis
Authors: Rogozin Denis Yurievich , Darin Andrey Viktorovich , Zykov Vladimir Viktorovich , Kalugin Ivan Aleksandrovich , Markovich Tatiana Ivanovna , Bulkhin Aleksandr Olegovich , Kolmakova Angela Aleksandrovna 
Published: June 2022

Abstract
Detailed studies of processes of sediment record formation are necessary for accurate sediment-derived paleo-environmental reconstructions. In order to understand the formation of sediments in meromictic Lake Shira (southern Siberia, Russia), we conducted the multi-year seasonal sediment trap study of sediment fluxes of chemical elements, organic and inorganic carbon, total nitrogen, and photosynthetic pigments for a period from 2012 to 2017. In parallel, in 2013, 2016, 2017, and 2018, we estimated the contents of photosynthetic pigments in uppermost sediment layers frozen in situ with a freeze-corer. In 2015 and 2016, a rare event of transition from meromixis (i.e. long-term hypolimnetic anoxia) to holomixis was observed, which was accompanied by the temporary disappearance of hydrogen sulfide from the water column in spring and a decrease in hydrogen sulfide in other seasons compared to the meromictic state. Using the freeze-corer, we observed that sediment structure changed from laminated to homogeneous after holomixis. The content of algal photosynthetic pigments slightly increased in uppermost sediments in 2017 and 2018, which was probably caused by an increase in lake primary production resulting from the release of nutrients during the mixing events in 2015 and 2016. The content of okenone, a specific carotenoid of purple sulfur bacteria, decreased during the holomictic state both in traps and in uppermost sediments and did not considerably increase two years after the meromixis restoration. The sedimentation flux of molybdenum reflected the seasonality of hydrogen sulfide content in the water column, and it was maximal in winter, in contrast to all other sediment components. Other components reflected the seasonality of organic production and terrigenous inputs, with the maximum in late summer and autumn. An increase in the sedimentation rate of terrigenous elements in the autumn of 2012 was supposedly caused by the anomalous amount of atmospheric precipitation in August 2012. Since detailed inter-annual observations of sedimentation processes are not often found in limnology, we hope that our results will be useful for reconstructing regional climate and, further, for understanding the dynamics of stratified temperate water bodies.
Element-wise representations with ECNet for material property prediction and applications in high-entropy alloys
Authors: Ni Jun , Wang Xinming , Tran Nguyen-Dung , Zeng Shuming , Hou Cong , Chen Ying 
Published: June 2022

Abstract
To develop machine learning models for accurate property prediction, the current graph networks are designed to give a sufficient representations of materials. However, the relationships between the atomic and structural inputs and many target properties are very complex, and even insensitive to the local environment. Here, we propose the elemental convolution (EC) operation to obtain a more general and global element-wise representations, and develop EC graph neural networks (ECNet) to accurately model material properties. We demonstrate that the ECNet models show better prediction in properties like band gaps, refractive index, and elastic moduli of crystals. The element-wise feature vectors are able to capture information of elemental types and crystal structures, and show a special characteristics related to its target properties. To explore its application on high entropy alloys, we focus on the properties modelling on CrFeNiCoMn/Pd high entropy alloys. Multi-task learning of ECNet models show its advantage in accuracy and convenience for multiple property predictions. Furthermore, we demonstrate that the transfer learning (TL) from the less-principal element alloys can enhance model performance in multiple-principal element alloys. Generally, the TL element-wise feature vectors extracted from parent model can be used as universal descriptors and retain good accuracy at small data limits when combined with simple multi-layer perceptrons. Finally, the TL framework is used to do interpolations in Fe-Co-Mn system to understand the underlying physics including the stability and magnetic moment.PACS numbers: 74.25.-q,71.15.-m,89.20.Ff
Evaluating the efficacy of electrical stimulation combined with ultrasound acupuncture therapy for intrauterine adhesions: study protocol for a single -center, randomized clinical trial
Authors: Xu Tao , Xie Li , Qin Xiaoling , Xie Xueting , Mo Sien , Jiang Qiu , Liang Feng , Zhu Xuehong , Li Bin , Lin Zhong 
Published: June 2022

Abstract
Background:Recurrence of postoperative adhesions is one of the most important factors for poor reproductive outcomes after hysteroscopic surgery, particularly in cases diagnosed with severe intrauterine adhesions (IUAs), where the recurrence rate is significantly higher. This study aims to explore the effectiveness of the electrical muscle stimulation combined with ultrasound acupuncture (ULTRA-EMS) therapy in preventing the recurrence of IUAs and improving reproductive outcomes after operative hysteroscopy.Methods:This study is a single-center, randomized controlled trial. A total of 210 patients with intrauterine adhesions will be randomly assigned into two groups according to the ratio of 1:1, as the treatment group and the control group. Participants will receive the ULTRA-EMS therapy and oral hormone supplementation or receive oral hormone supplementation only. The primary outcome was the clinical response rate. There were three menstrual cycles of treatment and three menstrual cycles of follow-up in this study.Ethics and Dissemination: This study protocol was approved by the Ethics Committee of the Reproductive Hospital of Guangxi Zhuang Autonomous Region (approval number: KY-LL-2022-06). This trial will be conducted in accordance with the principles of the Declaration of Helsinki as well as Good Clinical Practice. Study results will be disseminated at academic presentations and publications in peer-reviewed journals.Trial Registration: Registry name: Clinical value of electroultrasonic instrument in the treatment of intrauterine adhesions and changes of related protein expression; Registry number: ChiCTR2200058901; registration date: April 19th, 2022; http://www.chictr.org.cn/showproj.aspx?proj=166155.
Effect of three pro-nuclei (3PN) incidence on pregnancy outcomes in women with good prognosis undergoing in vitro fertilization with donor sperm (IVFD)
Authors: Li Mingzhao , Xue Xia , Shi Juanzi 
Published: June 2022

Abstract
Purpose
To investigate the factor of three pro-nuclei (3PN) incidence and its effect on pregnancy outcomes in women with good prognosis undergoing in vitro fertilization with donor sperm (IVFD).
Methods
We retrospectively identified all IVFD embryo transfers (IVFD-ETs) for the first time between January 2014 and January 2021 at our hospital. Women aged ≤ 35 years who received the long/ultra-long follicular phase agonist protocol were included. The patients were divided into two groups as follows: 3PN = 0% group included patients with no 3PN zygotes and 3PN > 0% group included patients with 3PN zygotes.
Results
We observed that the number of retrieved oocytes was independently associated with 3PN incidence (OR: 1.078, 95% CI 1.045–1.113, p < 0.001). Both the 3PN = 0% and 3PN > 0% groups showed no significant differences in the cleavage, high-quality embryo and available embryo rates (p > 0.05). Our data indicated that the 3PN = 0% group had significantly higher ongoing pregnancy (68.50 versus 62.76%, p = 0.033) and live birth (66.93 versus 59.84%, p = 0.009) rates compared with that in the 3PN > 0% group. The miscarriage rate was significantly lower in the 3PN = 0% group than that in the 3PN > 0% group (7.78 versus 12.26%, p = 0.026). The multinucleation at two-cell stage (MN2) rate was slightly higher in the 3PN > 0% group than that in the 3PN = 0% group (23.57 versus 16.11%, p = 0.085).
Conclusions
The incidence of 3PN zygotes made negative influence on the pregnancy outcomes in women with good prognosis undergoing IVFD-ETs. 3PN incidence might be associated with normal embryo multinucleation at two-cell stage.
A conceptual model for nurse educators to facilitate presence in large class settings through reflective practices: A theory synthesis
Authors: Froneman Kathleen , du Plessis Emmerentia , Graan Anneke Catherina van 
Published: June 2022

Abstract
Background: Nurse educators are required to facilitate presence by implementing creative, innovative and reflective ways in interacting with and involving nursing students more directly in the teaching-learning process. Managing large class groups of nursing students and the nurse educators’ daily workload demands, including teaching, clinical supervision and research priorities could hinder facilitating presence through reflective practices. Methods: Walker and Avant’s strategy of theory and statement synthesis was followed. Theory synthesis included three iterative steps: identifying, defining and classifying main and related concepts, defining relational statements, and organising the main and related concepts, relational statements and conceptual framework into an integrated and efficient representation. Conclusion statements were formulated through statement synthesis.Results: A model to facilitate presence in large class settings through reflective practices was developed as a theoretical framework to guide nurse educators in their teaching-learning practices. Six conclusion statements for “presence and reflective practices in nursing education” emerged.Conclusions: This model addresses the gap in the literature and contributes substantially to deepen the body of knowledge in the nursing education domain of the South African context as well as the nursing education domain internationally, to serve as a model for guiding nurse educators in their teaching-learning practices.
C1QBP is highly expressed and participated in lipid metabolism in prostate cancer
Authors: Liu Shuang , Du Runxuan , Xu Jia , Chen Ruibing , Wang Rui , Tian Shaoping , Xiao Xuesong , Lin Tianyu , Niu Yuanjie , Wang Yong , Yue Dan 
Published: June 2022

Abstract
Complement component 1q subcomponent binding protein (C1QBP) is a multifunctional protein that plays an important role in tumors. However, the relationship between C1QBP and lipid metabolism has been relatively little studied. In this study, we examined the expression of C1QBP in clinical prostate cancer (PCa) patients and explored its effects as well as the possible mechanisms on lipid metabolism in PCa. In this study, the expression of C1QBP in PCa was detected by TCGA database and immunohistochemical staining (IHC), while Liquid Chromatography Tandem Mass Spectrometry (LC–MS/MS), Oil Red O staining and triglyceride assays were used to explore the effects and possible mechanisms of C1QBP on lipid metabolism in prostate cancer. We reported that C1QBP expression is significantly elevated in PCa compared to benign prostatic hyperplasia (BPH). C1QBP-associated differentially expressed proteins are enriched in the fatty acid degradation pathway, and reduced C1QBP expression is accompanied by a significant reduction in lipid droplet and triglyceride content in cells, as well as an impairment in cell proliferation and migration capacity. In addition, we identified Aldehyde dehydrogenase 9 family member A1(ALDH9A1), a downstream molecule that may be regulated by C1QBP in the fatty acid catabolic pathway, and confirmed that C1QBP regulated ALDH9A1 at the transcriptional level.In summary, C1QBP could regulate lipid metabolism in PCa. Meanwhile, our study provided a possible mechanism by which C1QBP regulated PCa progression by affecting lipid metabolism through ALDH9A1.
Deep learning applied to 4-electrode EEG resting-state data detects depression in an untrained external population
Authors: Jan Damián , De Vega Manuel , López-Pigüi Joana , Padrón Iván 
Published: June 2022

Abstract
In this study we trained and tested several deep learning algorithms to classify depressive individuals and controls based on their electroencephalography data. Traditionally, classification methods based on electroencephalography resting state are based primarily on linear features or a combination of linear and non-linear features. Based on different theoretical grounds, some authors claim that the more electrodes, the more accurate the classifiers, while others consider that working on a selection of electrodes is a better approach⁠. In this study, a data-driven approach was initially applied on a selection of electrodes to classify 25 depressive and 24 control participants. Using a classifier with just four electrodes, based on non-linear features with high temporo-spatial complexity, proved accurate enough to classify depressive and control participants. After the classifier was internally trained and tested, it was applied to electroencephalography resting-state data of control and depressive individuals available from a public database, obtaining a classifier accuracy of 93% in depressive and 100% in control. This validates the generalizability of the classifier to untrained data from different teams, populations, and settings. We conclude that time-window span analysis is a promising approach to understand the neural dynamics of depression and to develop an independent biomarker.
High adsorption performance of novel 1,4-polyketone: synthesis, characterization, and removal of pollutants
Authors: sayed marwa , El-Hamid Islam S Abd ,   Haitham M. El-Bery3, Farrag Mostafa , Abdelhakiem Alaa K. , Aly Kamal I. 
Published: June 2022

Abstract

This research aims to create an alternating polyketone with the advantage of having its cationic groups in one and four alternating places for increased functionality. Simple condensation polymerization between terephthaldehyde and 2,5-hexane dione yielded a new polyarylidene ketone (PAK). Fourier-transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TGA), X-ray diffraction, UV-Visible absorbance, fluorescence, and SEM studies were used to assess the physicochemical properties of the resultant polymer. The results demonstrate that the polymer is amorphous, has good thermal stability, and emits a red color. It can also be utilized as a dye adsorbent in an aqueous solution, with remarkable adsorption selectivity for the cationic dye methylene blue (MB). The effectiveness of PAK as an adsorbent was calculated as a function of pH, dosage, and initial dye concentration; the highest dye removal percentage of 96% was achieved at pH 10, 50 mg dosage and initial dye concentration of 20 ppm. The study of kinetics and isotherms was also carried out. The pseudo-second-order model was more adapted to the kinetic data, while the Freundlich and Langmuir models were better suited to the PAK equilibrium data. According to the kinetics and isotherms analyses, the adsorption behavior was a favorable chemisorption process. The findings of this study suggest that PAK could be used as an adsorption filter for MB dyeing wastewater decolorization. It also has excellent metal ion removal capabilities with various metals (Zn2+, Cu2+, Ni2+, Co2+, Cd2+, and Fe3+). PAK is selective for Fe (III) and Cu (II); the polymers' ion adsorption is not based on ion exchange but on chelating process.
Long-term osteogenic differentiation of human bone marrow stromal cells in simulated microgravity: novel proteins sighted
Authors: Montagna Giulia , Pani Giuseppe , Flinkman Dani , Cristofaro Francesco , Pascucci Barbara , Massimino Luca , Lamparelli Luigi Antonio , Fassina Lorenzo , James Peter , Coffey Eleanor , Rea Giuseppina , Visai Livia , Rizzo Angela Maria 
Published: June 2022

Abstract
Microgravity induced bone loss is a major concern for space travellers. Ground-based microgravity simulators are crucial to study the effect of microgravity exposure on biological systems and to address the limitations posed by restricted access to real space. In this work, for the first time we adopt a multidisciplinary approach to characterize the morphological, biochemical, and molecular changes underlying the response of human bone marrow stromal cells to long-term simulated microgravity exposure during osteogenic differentiation. Our results show that osteogenic differentiation is reduced while energy metabolism is promoted. We found novel proteins were dysregulated under simulated microgravity, including CSC1-like protein, involved in the mechanotransduction of pressure signals, and PTPN11, SLC44A1 and MME which are involved in osteoblast differentiation pathways and which may become the focus of future translational projects. The investigation of cell proteome highlighted how simulated microgravity affects a relatively low number of proteins compared to time and/or osteogenic factors and has allowed us to reconstruct a hypothetical pipeline for cell response to simulated microgravity. Further investigation focused on the application of nanomaterials may help to increase understanding of how to treat or minimalise the effects of microgravity.
Differential CpG DNA Methylation of Peripheral B, CD4 + T cells and Salivary Gland Tissues in IgG4-related Disease
Authors: Wu Xunyao , Wang Anqi , Wang Mu , Peng Yu , Chen Yingying , Li Jieqiong , Liu Zheng , Lu Hui , Zhou Jiaxin , Peng Linyi , Zhao Yan , Zeng Xiaofeng , Fei Yunyun , Zhang Wen 
Published: June 2022

Abstract
Objectives.
Immunoglobulin-G4-related disease (IgG4-RD) is a distinct systemic autoimmune-mediated disease that characterized by tissue fibrosis. The purpose of this study is to investigate the epigenetic modifications in IgG4-RD.
Methods.
A genome-wide DNA methylation study was performed in B cells, CD4+ T cells and salivary gland tissue from IgG4-RD patients and matched controls using the Illumina HumanMethylation 850K BeadChip.
Results.
We identified differentially methylated CpG sites including 44 hypomethylated and 166 hypermethylated differentially methylated probes (DMPs) in B cells, 260 hypomethylated and 260 hypermethylated DMPs in CD4 + T cells from 10 IgG4-RD patients compared with 10 healthy controls. We also identified 36945 hypomethylated and 78380 hypermethylated DMPs in salivary gland tissue of 4 IgG4-RD patients compared with 4 controls. We found that DPM2 (cg21181453), IQCK (cg10266221), ABCC13 (cg05699681, cg04985582) were hypermethylated and MBP (cg18455083) was hypomethylated in B cells, CD4+ T cells and tissue of IgG4-RD patients compared with controls. Also, we observed hypomethylated HLA class in both B cells and CD4+ T cells from IgG4-RD patients compared with controls. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of DMPs in salivary gland of IgG4-RD patients demonstrated enrichment of pathways in regulation of immune cells responses and fibrosis.
Conclusion.
Our study is the first DNA methylation study in peripheral B cells, CD4+ T cells as well as salivary gland tissues from patients with IgG4-related disease. Our findings highlighted the role of epigenetic modification of DNA methylation and identified several genes and pathways that might involve in the pathogenesis of IgG4-RD.