bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship Between Brain Iron Deposition and Mitochondrial Dysfunction in Idiopathic Parkinson’s Disease
Authors: Prasuhn Jannik , Göttlich Martin , Gerkan Friederike , Kourou Sofia , Ebeling Britt , Kasten Meike , Hanssen Henrike , Klein Christine , Brüggemann Norbert 
Published: September 2021

Abstract
BackgroundThe underlying pathophysiology of Parkinson's disease is complex, involving different molecular pathways, including brain iron deposition and mitochondrial dysfunction. At a molecular level, these disease mechanisms are likely interconnected. Therefore, they offer potential strategies for disease-modifying treatments. We aimed to investigate subcortical brain iron deposition as a potential predictor of the bioenergetic status in patients with idiopathic Parkinson’s disease. MethodsThirty patients with idiopathic Parkinson's disease underwent multimodal MR imaging (T1, susceptibility-weighted imaging, SWI) and 31Phosphorus Magnetic Resonance Spectroscopy Imaging. Contrast-to-noise ratios based on the SWI images of the putamen, caudate, globus pallidus, and thalamus for each hemisphere were used in a multiple linear regression model to predict in vivo metabolites. ResultsSubcortical brain iron deposition, particularly in the putamen and globus pallidus, was highly predictive of the region-specific amount of high-energy-containing phosphorus metabolites in our subjects. Conclusions﻿Our study suggests that brain iron deposition but not the variability of individual volumetric measurements are highly predictive of mitochondrial impairment in vivo. These findings offer the opportunity, e.g., by using chelating therapies, to improve mitochondrial bioenergetics in patients with idiopathic Parkinson's disease.
Super-Enhancer Associated Nine-gene Prognostic Score Model for Prediction of Survival in Chronic Lymphoic Leukemia Patients
Authors: Liang Xue , Meng Ye , Li Cong , Wang Yangyang , Pu Lianfang , Hu Linhui , Li Qian , Zhai Zhimin 
Published: September 2021

Abstract
BackgroundChronic lymphocytic leukemia (CLL) is a group of highly heterogeneous mature B cell malignancy with various disease courses and diagnoses. Super-enhancer(SE) is a novel concept drew in recent years which is a cluster of enhancers involved in cell differentiation and tumorigenesis ,and is one of the promising therapeutic targets for cancer therapy. Although there is a multitude of prognostic markers in CLL, insights into the role of super-enhancer(SE)-related risk indicators are still lacking.MethodsThe CLL-related super-enhancers in training database were processed by Lasso penalized Cox regression analysis to screen a nine-gene prognostic model. And the associations between all of the individual markers and OS of CLL were assessed by Cox regression analysis. Besides, in order to understand the connection between individual genes and selected disease characteristics, like IGHV mutation status, FISH abnormality, and ZAP70 expression level, we performed correlation analysis.ResultsA nine-gene prognostic model was screened, including TCF7, VEGFA, MNT, GMIP, SLAMF1, TNFRSF25, GRWD1, SLC6AC, and LAG3. A SE-related risk score was further constructed and the robust predictive performance with 5-year survival and time-to-treatment (TTT) area under the curve(AUC): 0.997 and 1.000 in the training database and 0.628 and 0.673 in the testing database, respectively. Besides, a high correlation was found between the risk score and known prognostic markers of CLL, including the mutational status of immunoglobulin variable region loci (IGHV), chromosomal abnormalities, and ZAP70 expression. Meantime, we noticed that the expression of TCF7, GMIP, SLAMF1, TNFRSF25, and LAG3 in CLL were different from healthy donors(P<0.01), moreover, the risk score and LAG3 level of matched pairs before and after treatment samples varied significantly, although these results were not completely consistent in different datasets. ConclusionTherefore, the SE-associated nine-gene prognostic model developed here may be used to predict the prognosis and assist in the risk stratification of CLL patients in the future.
Investigation On Sleep Status and Its Influencing Factors in Children Aged 3-14 in Beijing
Authors: Hongbin Li , Zhuo Li , Xiaodan Li , Jing Zhao , Guixiang Wang , Hua Wang , Jie Zhang , Xin Ni 
Published: September 2021

Abstract
Objective: To investigate the current status of children's sleep in Beijing and analyze the influencing factors that affect it. Methods:Using multi-stage stratified cluster random sampling, a total of 11420 children aged 3-14 in 7 districts in Beijing were included in the study. The Pediatric Sleep Questionnaire (PSQ) was used to investigate and analyze various factors influencing sleep. Multi-level model was used to analyze the relationship between PSQ score and related factors. Results: The average PSQ score of the children surveyed was 3.60 ± 2.69 points. If the score is greater than 7, it is considered that there may be sleep quality problems . The proportion of children with sleep quality problems was more than 8%. Multi-level model analysis results show that younger children have higher PSQ scores than older children. Boys have higher PSQ scores than girls. Conclusion: The sleep quality of children in Beijing is not optimistic. The PSQ score of preschool children is higher than school age children. It is recommended that parents pay attention to children’s sleep status and try to remove influencing factors.
A Novel Metrics to Predict Right Heart Failure After Left Ventricular Assist Device Implantation
Authors: Valente Federica , Stefanidis Constantin , Vachiéry Jean-Luc , Dewachter Céline , Engelman Edgard , Eynden Frédéric Vanden , Roussoulières Ana 
Published: September 2021

Abstract
BackgroundRight Heart Failure (RHF) is a severe complication that can occur after left ventricular assist device (LVAD) implantation, increasing early and late mortality. Although numerous RHF predictive scores have been developed, limited data exist on the external validation of these models.We therefore aimed at comparing existent risk score models and identifying predictors of severe RHF at our center.MethodsIn this retrospective, single center analysis, clinical, biological and functional data were collected in patients implanted with a LVAD between 2011 and 2020. Early severe RHF was defined as use of inotropes for ≥14 days, nitric oxide use for ≥48 hours or unplanned right-sided circulatory support.Risk models were evaluated for the primary outcome of RHF or RVAD implantation by means of logistic regression and receiver operating characteristic curves. ResultsAmong 92 patients implanted, 24 (26%) developed early severe RHF. The EUROMACS-RHF risk score performed the best in predicting RHF (C=0.82 - 95% CI: 0.68-0.90), compared with the other scores (Michigan, CRITT). In addition, we developed a new model, based on four variables selected for the best reduced logistic model: the INTERMACS level, the number of inotropes used, the ratio of right atrial/pulmonary capillary wedge pressure and the ratio of right ventricle/left ventricle diameters by echocardiography. This model demonstrated significant discrimination of RHF (C=0.91 - 95% CI: 0.76-0.96).ConclusionAmongst available risk scores, EUROMACS-RHF performs best to predict the occurrence of RHF after LVAD implantation. Our model’s performance compares well to the EUROMACS-RHF score, adding a more objective parameter to RV function evaluation.
Lifestyle Changes, Mental Health, and Health-related Quality of Life in Children Aged 6-7 Years Before and During the COVID-19 Pandemic in South Germany
Authors: Kurz Deborah , Braig Stefanie , Genuneit Jon , Rothenbacher Dietrich 
Published: September 2021

Abstract
Background: The measures against the COVID-19 pandemic are challenging for children and parents, and detrimental effects on child health are suggested especially from lock-down measures and school closings. Methods: We conducted a cross-sectional analysis using a population based longitudinal (birth-) cohort study (SPATZ study) conducted in the South of Germany. Data included all children of the 6- and 7-year follow-up for whom a questionnaire was completed during first grade of school. Consequently, we were able to analyze children being in first grade before the first lockdown in Germany (≤15th March 2020), as well as children being in first grade during the pandemic (>15th March 2020). We conducted descriptive statistics and estimated the associations between the two time periods, before and during the pandemic, and various outcomes of child health using multivariable adjusted linear or logistic regression modeling. The analysis was stratified by gender. Results: Results among n=362 children aged six or seven years showed substantially lower mean scores of health-related quality of life (b: -5.5, 95% confidence interval (CI): -9.0, -2.0), and higher mean scores in emotional and behavioral difficulties (b: 2.0, 95% CI: 0.2, 3.8) in girls during vs. before the COVID-19 pandemic using multivariable linear regression modeling. In addition, weekly screen-time was increased in boys by 3.5 hours (95% CI: 0.6, 6.4). We did not find substantial differences in sleep quality, physical activity, and time spent with books, neither in boys nor in girls, however, the limited sample size has to be considered.Conclusion: Child health (and behavior) of first grade school children is possibly impacted by the COVID-19 pandemic with adverse consequences possibly differing by gender.
The Bisphenol F and Bisphenol S and Cardiovascular disease: results from NHANES 2013-2016
Authors: wang Ruihua , Fei Qiaoyuan , Liu Shan , Weng Xueqiong , Liang Huanzhu , Wu Yingying , Wen Lin , Hao Guang , Cao Guangwen , Jing Chunxia 
Published: September 2021

Abstract
Background
Bisphenol F (BPF) and bisphenol S (BPS) are replacing bisphenol A (BPA) in the manufacturing of products containing polycarbonates and epoxy resins, however, the effects of these substitutes on the risk of cardiovascular disease (CVD) have not been assessed.
Objective
To examine the association of urinary BPS and BPF with the CVD risk in a U.S. representative population.
Method
A cross-sectional data with 1,266 participants aged 20 to 80 years from the 2013–2016 National Health and Nutrition Examination Survey (NHANES) was analyzed. The logistic regression was used to assess the association between BPF, BPS and CVD. The Bayesian kernel machine regression (BKMR) model was applied to assess the mixed effect.
Results
A total of 138 patients with CVD were identified. After adjusting for potential confounding factors, T3 concentration of BPS increased the risk of total CVD (OR: 1.98, 95%CI: 1.20–3.28). When stratified by age, we found that BPS increased the risk of CVD in the 50–80 age groups (OR:1.40, 95%CI: 1.05–1.87). BPS was positively associated with the risk of stroke and T3 of BPS increased the stroke risk by 3.46 times (95%CI: 1.09–10.95). No significant association was observed between BPF and CVD. Although BKMR model did not identify the mixed exposure effect of BPS, the risk of CVD increased, with the increase of compound concentration.
Conclusion
Our results suggest that BPS may increase the risk of total CVD and stroke in the U.S population, and prospective studies are needed to confirm the results.
Synthesis of SnO2 and Zn doped SnO2 Nanoparticles by Flame Oxidation Process for Photocatalytic degradation of Methylene Blue Dye
Authors: P SIVARAMA PRABHU , PONNUSAMY KATHIRVEL , Maruthamani D , Ram S.D Gopal 
Published: September 2021

Abstract
A very simple and rapid flame oxidation method is effectively used to synthesis pure Tin Oxide (SnO2) and Zinc doped Tin Oxide (Zn:SnO2) nanoparticles from the metallic Tin (Sn) and Zinc (Zn) powders for the photocatalytic degradation of Methylene blue (MB) dye and characterized to study their structural, optical, elemental and chemical properties. From the X-ray diffraction analysis (XRD) it indicates that the synthesized SnO2 and Zn:SnO2 nanoparticles have pure tetragonal and cubical phases respectively and their average size increases when Zn was doped with SnO2. Raman spectral studies confirms the various mode of vibrations and the crystal structure of the synthesized nanoparticles from the spectral peaks of Raman shifts. Purity, atomic percentage and chemical composition were analysed using Energy dispersive X-ray analysis (EDX). The band gap energy was increasing from 3.5 eV to 3.6 eV when doping of Zn with SnO2, which was revealed from the UV-visible spectroscopic analysis. Photoluminescence analysis (PL) confirms the red shifted emission for Zn:SnO2 due to the oxygen deficiency. The CIE chromaticity(x,y) for SnO2 and Zn:SnO2 was calculated from the emission spectra and the cordinates represents blue and violet region respectively. Field Emission Scanning Electron Microscopy (FESEM) analysis shows that the pure SnO2 nanoparticles have irregular, agglomerated, nanoflowered and nanoclustered formation whereas Zn:SnO2 nanoparticles have more crystalline, cubical and nanoflakes structures. The photocatalytic activity was enhanced due to the presence of Zn in SnO2 under UV light irradiation. The efficiency of MB degradation by SnO2 and Zn:SnO2 nanoparticles are above 80%, which proves to be an effective photocatalyst.
Complete Mitochondrial Genome of Phoneutria Boliviensis (Araneae, Ctenidae): New Insights Into the Phylogeny and Evolution of Spider
Authors: Prada Carlos Fernando , Franco Lida Marcela , Cabarcas Felipe 
Published: September 2021

Abstract
Spiders are the most abundant land predators and megadiverse on earth. In recent years, the mitochondrial genome has been sequenced, mainly for ecological and commercial purposes, reporting some level of rearrangements in this genome. However, there is poor genetic information in several taxonomic families of spiders. The aim of this study was to obtain the sequence of the complete genome of Phoneutria boliviensis and, based on this, extract the mitogenomes of other species of the family Ctenidae from published transcriptomes to perform a comparative study among spider species to determine the relationship between the level of mitochondrial rearrangement and its possible relationship with molecular variability in spiders. Complete mitochondrial genomes of eighteen spiders (including nine Ctenidae species) were obtained by two different methodologies (sequencing and transcriptome extraction). Fifty-eight spider mitochondrial genomes were downloaded from the NCBI database for gene order analysis. After verifying the annotation of each mitochondrial gene, a phylogeny and gene order, analysis from 76 spider mitochondrial genomes was obtained. Our results show a high rate of annotation error in the mitochondrial genomes of spiders published in databases, which could lead to false phylogenetic relationships. Moreover, to provide new mitochondrial genomes in spiders by two different methodologies to obtain them, our analysis identifies six different mitochondrial architectures among all spiders. Translocation or tandem duplication random loss (TDRL) events in tRNA genes were identified to explain the evolution of the spider mitochondrial genome. In addition, our findings provide new insights into spider mitochondrial evolution.
Research on Surface Modification of Screen Printing Electronics
Authors: Tian Ye , Li Yan , Yuan Ying-Cai , Zhao Lin , He Gao-Shen , Peng Tuo-Kai , Xu Jian-Lin 
Published: September 2021

Abstract
Printing electronic components by screen printing with its excellent printing quality, high efficiency, and green environmental protection have broad application prospects in additive manufacturing. However, efficiency and quality of printing were decreased as conductive-ink blocking screen in the actual process of printing. Thus, it is pivotal that exploring factors of adhesion from the interaction of conductive-ink and screen. Herein, the functional relationship between adhesion and factors of adhesion and influence trend of adhesion on ink residue was obtained via the establishment of liquid-bridge adhesion model between two plates according to screen printing ink transfer process, solid-liquid wetting theory, and adhesion mechanism, which was verified by software Fluent. In order to justify the accuracy of the model and simulation, the adhesion and ink residue were tested on the surface-modified glass sheet as the result that the model and simulation were consistent with the experimental record. It was demonstrated that solid-liquid contact angle, tensile distance, and liquid volume are the main factors affecting the change of solid-liquid adhesion. With the increase of tensile distance and contact angle, the adhesion force decreases, which causes the decline of the residual amount of liquid on the solid surface. By means of screen modification, the adhesion between conductive-ink and screen can be reduced, as meanwhile the efficiency and quality of printed products can be improved.
Estrogen Hormone Is an Essential Sex Factor Inhibiting Inflammation and Immune Response in COVID-19
Authors: Li Fuhai , Boon Adrianus C.M. , Michelson Andrew P. , Foraker Randi E. , Zhan Ming , Payne Philip R.O. 
Published: September 2021

Abstract
Although vaccines have been evaluated and approved for SARS-CoV-2 infection prevention, there remains a lack of effective treatments to reduce the mortality of COVID-19 patients already infected with SARS-CoV-2. The global data of COVID-19 showed that men have a higher mortality rate than women. We further observed that the proportion of mortality of female increases starting from around the age of 55 significantly. Thus, sex is an essential factor associated with COVID-19 mortality, and sex related genetic factors could be interesting mechanisms and targets for COVID-19 treatment. However, the associated sex factors and signaling pathways remain unclear. Here, we propose to uncover the potential sex associated factors using systematic and integrative network analysis. The unique results indicated that estrogen hormones (ER), e.g., estrone and estriol, 1) interacting with ESR1/2 receptors, 2) can inhibit SARS-CoV-2 caused inflammation and immune response signaling in host cells; and 3) estrogen hormone is associated with the distinct fatality rates between male and female COVID-19 patients. Specifically, a high level of estradiol protecting young female COVID-19 patients, and estrogen loss to an extremely low level in females after about 55 years of age causing the increased fatality rate of women. In conclusion, estrogen hormone, interacting with ESR1/2 receptors, is an essential sex factor that protects COVID-19 patients by inhibiting inflammation and immune response caused by SARS-CoV-2 infection. Medications perturb the down-stream of ESR1/ESR2 to inhibit the inflammation and immune response can be effective or synergistic combined with other existing drugs for COVID-19 treatment.
Prognostic Significance of Adipose Tissue Distribution and Metabolic Activity in PET / CT in Patients with Metastatic Colorectal Cancer
Authors: karaçelik tuba , kaya buğra , korkmaz mustafa , karaağaç mustafa , araz murat , eryılmaz Melek karakurt , bozcuk hakan şat , artaç mehmet 
Published: September 2021

Abstract
Purpose: In this study, we aimed to evaluate prognostic significance of adipose tissue distribution and metabolic activity in PET/CT to predict survival in patients with metastatic colorectal cancer (mCRC).Methods: The volume, density (HU) and FDG uptake (standardized uptake value-[SUV]) of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) and maximum FDG uptake of the tumor tissue were measured. Subcutaneous adipose tissue of volume-to-density ratio (SAT ratio) was calculated.Results: The median OS for the patients with SAT ratio value <-1.1 and ≥ -1.1 were 38.5 (95% CI 31.54-45.58) and 24.5 (95% CI 14.13-34.93) months, respectively (p=0.05). During follow up, 69 patients experienced disease progression. The median progression-free survival (PFS) was 11.03 months (95% CI: 9.11-12.95). Median PFS for patients with tumor SUV max value <11.5 and ≥11.5 were 9.2 (95% CI 7.25-11.27) and 12.6 (95% CI 10.02-15.27) months, respectively (p=0.14). 48 patients received bevacizumab therapy. VAT SUV mean (HR: 0.09; 95% CI 0.01-0.52, p=0.008) was significantly associated with PFS in patients receiving bevacizumab. SAT ratio was the significant parameter for the OS (HR: 0.58; 95% CI 0.33-1.01, p=0.05) and PFS (HR: 1.99; 95% CI 1.02-3.91, p=0.043).Conclusions: SAT ratio was an independent prognostic factor for survival in patients with mCRC. Higher SAT volume is correlated with longer survival in mCRC patients
How to Predict the Spread of COVID-19
Authors: Dadyan Eduard 
Published: September 2021

Abstract
For analysis tasks, time counts are of interest – values recorded at some, usually equidistant, points in time. The calculation can be performed at various intervals: after a minute, an hour, a day, a week, a month, or a year, depending on how much detail the process should be analyzed. In time series analysis problems, we deal with discrete-time, when each observation of a parameter forms a time frame. The same can be said about the behavior of Covid-19 over time.In this paper, we solve the problem of predicting Covid-19 diseases in the world using neural networks. This approach is useful when it is necessary to overcome difficulties related to non-stationarity, incompleteness, unknown distribution of data, or when statistical methods are not completely satisfactory. The problem of forecasting is solved with the help of the analytical platform Deductor Studio, developed by specialists of the company Intersoft Lab of the Russian Federation. When solving this problem, appropriate methods were used to clean the data from noise and anomalies, which ensured the quality of building a predictive model and obtaining forecast values for tens of days ahead. The principle of time series forecasting was also demonstrated: import, seasonal detection, cleaning, smoothing, building a predictive model, and predicting Covid-19 diseases in the world using neural technologies for 30 days ahead.
Synergy of Single Atoms Pd and Oxygen Vacancies on In2O3 for Highly Selective C1 Oxygenates Production from Methane under Visible Light
Authors: Luo Lei , Fu Lei , Liu Huifen , Xu Youxun , Xing Jialiang , Tang Junwang 
Published: September 2021

Abstract
Methane (CH4) oxidation to high value chemicals under mild conditions through photocatalysis is a sustainable and appealing pathway, nevertheless confronting the critical issues on both conversion and selectivity. Herein, under visible irradiation (420 nm), the synergy of palladium (Pd) atom cocatalyst and oxygen vacancies (OVs) on In2O3 nanorods enabled superior photocatalytic CH4 activation by O2. The optimised catalyst reached ca. 100 µmol·h− 1 of C1 oxygenates, with a selectivity of primary products (CH3OH and CH3OOH) up to 82.5 %. Mechanism investigation elucidated that such superior photocatalysis was induced by the dedicated function of Pd single atoms and oxygen vacancies on boosting hole and electron transfer pathway, respectively. O2 was proven to be the only oxygen source for CH3OH production, while H2O acted as the promoter for efficient CH4 activation through ·OH production and facilitated product desorption as indicated by DFT modelling. This work thus provides new understandings on simultaneous regulation of activity and selectivity by the significant synergy of single atom cocatalysts and oxygen vacancies.