bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Relationship Between Markers Derived From Ambulatory Blood Pressure Monitoring and Preterm Birth and Neonatal Weight in Patients With Preeclampsia
Authors: Shi Yifu , Cao Wenchao , Feng Zewen , Mai Haolin , Xie Renjie , Zhong Liuying 
Published: July 2021

Abstract
Background: In order to discern the relationship between ambulatory blood pressure monitoring-related indices and preterm birth and newborn weight in patients with preeclampsia. Methods: Sixty-seven patients with preeclampsia were included in the present study. We used logistic regression analysis to determine the relationship between blood pressure index and preterm birth risk, and to find the best threshold to predict preterm birth using an ROC curve. The relationship between the blood pressure index and neonatal weight was best described by linear regression analysis. Results: The main result are as follows. Nocturnal diastolic blood pressure load (OR =1.045, 95% Cl 1.016–1.076, P=0.002) has significant statistical association with preterm birth, but there was no statistical association between other indicators and preterm birth. Nocturnal systolic blood pressure, nocturnal systolic blood pressure load, and nocturnal diastolic blood pressure load each showed a significant negative correlation with neonatal weight. Other indicators were also negatively correlated, but these were not statistically significant. The predictive thresholds for nDBP load, as follows: for nDBP load at 73.8% a sensitivity of 0.78 and specificity of 0.70. Conclusions: In conclusion, in women with preeclampsia, elevated nDBP load has significant positive correlation with the risk of preterm birth, and nSBP, nSBP load and nDBP load has negative correlation with birth weight in newborns.Trial registration: Not applicable
Genome Wide Association Study on Development and Evolution of Glutinous Rice
Authors: Jiang Conghui , Rashid Muhammad Abdul Rehman , Zhang Yanhong , Zhao Yan , Pan Yinghua 
Published: July 2021

Abstract
Background: Glutinous rice as a special endosperm type is consumed as a staple food in East Asian countries by consumers’ preference. Genetic studies on glutinous rice could be conducive to improve rice quality and understand its development and evolution. Therefor，we sought to explore more genes related to glutinous by genome wide association study and research the formation history for glutinous .Results: Here, genome-wide association study was performed to explore the associated loci/genes underlying glutinous rice by using 2108 rice accessions. Combining the expression patterns analysis, 127, 81, and 48 candidate genes were identified to be associated with endosperm type in whole rice panel, indica, and japonica sub-populations. There were 32 genes, including three starch synthesis-related genes Wx, SSG6, and OsSSIIa, detected simultaneously in the whole rice panel and subpopulations, playing important role in determining glutinous rice. The combined haplotype analyses revealed that the waxy haplotypes combination of three genes mainly distributed in Southeast Asia (SEA), SEA islands (SER) and East Asia islands (EAR). Through population structure and genetic differentiation, we suggest that waxy haplotypes of the three genes firstly evolved or were directly inherited from wild rice in japonica, and then infiltrated into indica in SER, SEA and EAR. Conclusions: The cloning and natural variation analysis of waxy-related genes are of great significance for the genetic improvement of quality breeding and comprehend the history in glutinous rice. This work provides valuable information for further gene discovery and understanding the evolution and formation for glutinous rice in SEA, SER and EAR.
Research on Geometric Error Modeling and Compensation Method of CNC Precision Cylindrical Grinder Based on Differential Motion Matrix and Jacobian Matrix
Authors: Fan Jinwei , Ye Qian 
Published: July 2021

Abstract
In this paper, the geometric error modeling method of CNC cylindrical grinder based on the differential motion relationship between coordinate systems, the function fitting model method of basic geometric error terms based on cftool toolbox and the error compensation method based on Jacobian matrix are proposed. Firstly, the differential motion theory, which is widely used in the field of robot kinematics error modeling, is used to build the machine tool space machining error model of CNC cylindrical grinder. Different from the multi-body theory, this modeling method can clearly reflect the influence degree of each moving part on the grinding wheel cutter. Secondly, SJ6000 laser interferometer was used to measure and identify the geometric error terms of B2-K3032 CNC precision cylindrical grinder. MATLAB cftool toolbox was used to perform mathematical function fitting on the known error data, and the mathematical relationship between 24 geometric errors and machining instructions was found. Finally, combining with the 24 Sum of Sine function model, the known verticality error and position deviation, the differential motion matrix of each moving part in the tool coordinate system and the corresponding Jacobian matrix, the compensation quantity (dx dz db dc) of the comprehensive geometric error in the tool coordinate system by the CNC precision cylindrical grinder is obtained. In order to verify the feasibility of the above method, RA1000 series roundness meter was used to measure the radial circular runout error before and after the correction. The experimental results show that the precision of each shaft section is increased by 17.54%, 15.22%, 15.71%, 18.4%, 12.87%, respectively, and the average machining accuracy is increased by 15.948%. Therefore, the above methods are effective and reasonable for improving the precision of spindle workpieces, and can also be used for reference in the initial design stage of CNC cylindrical grinder manufacturing enterprises or improving the machining accuracy of existing machine tools.
Reasons for SARS-CoV-2 Infection in Children and Their Role in the Transmission of Infection According to Age: a Case-control Study.
Authors: Mauro Calvani , Cantiello Giulia , Cavani Maria , Lacorte Eleonora , Mariani Bruno , Panetta Valentina , Parisi Pasquale , Parisi Gabriella , Roccabella Federica , Silvestri Paola , Vanacore Nicola 
Published: July 2021

Abstract
Background. The locations where children get exposed to SARS-CoV-2 infection and their contribution in spreading the infection are still not fully understood. Aim of the article is to verify the most frequent reasons for SARS-CoV-2 infection in children and their role in the secondary transmission of the infection. Methods. A case-control study was performed in all SARS-CoV-2 positive children (n= 81) and an equal number of age- and sex- matched controls who were referred to the S. Camillo-Forlanini Pediatric Walk-in Center of Rome. The results of all SARS-CoV-2 nasopharyngeal swabs performed in children aged <18 years from October 16 to December 19, 2020 were analyzed. Results. School contacts were more frequent in controls than in cases (OR 0.49; 95% CI: 0.3-0.9), while household contacts were higher in cases (OR 5.09; 95% CI: 2.2-12.0 ). In both cases and controls, school contacts were significantly less frequent, while on the contrary household contacts seemed to be more frequent in nursery school children compared to primary school or middle/high school children. A multivariate logistic regression showed that the probability of being positive to SARS-CoV-2 was significantly lower in children who had school contacts or who had flu symptoms compared to children who had household contacts. Results showed a 30.6% secondary attack rate for household contacts. Conclusion. In our study population, the two most frequent reasons for SARS-CoV-2 infection were school and home contacts. The risk of being positive was 5 times lower in children who had school contacts than in children who had household contacts.
­PlGF Regulates Angiopoietin-1 and Tie-2 Expression in Human Retinal Endothelial Cell-Pericyte Cocultures and iPSC-Derived Vascular Organoids through VEGFR1
Authors: Huang Hu , Saddala Madhu , Mohan Rajiv Ravindra 
Published: July 2021

Abstract
Placental growth factor (PlGF) and Angiopoietin (Ang)-1 are two angiogenic factors that play vital roles in vascular cell growth and stabilization. The present study's objective is to examine PlGF's regulation of Ang-1 and its Tie-2 receptor expression in human vascular cells and vasculature. We exploited the cocultures of human primary retinal endothelial cells (HREC) and pericytes (HRP) and the blood vessel or vascular organoids derived from human-induced pluripotent stem cells (iPSC) as experimental models. In the HREC-HRP cocultures, PlGF blockage upregulated the expressions of Ang-1 and Tie-2 in an antibody dose-dependent manner. Upregulation of Ang-1 and Tie-2 by PlGF blockade did not occur in HREC and HRP monocultures but only in HREC-HRP cocultures, indicating the interactions of the two cell types. VEGFR1 inhibition diminished Ang-1 and Tie-2 upregulation caused by PlGF blockade and reduced pericyte variability in high glucose conditions. In the iPSC-derived vascular organoids (VO), PlGF, Ang-1, and Ang-2 were expressed mainly by perivascular cells. Bioinformatics analysis of RNA sequencing data revealed that diabetes-mimicking conditions upregulated PlGF and Ang-2 expressions in the VO cultures. PlGF blockade upregulated Ang-1 and Tie-2 expression and promoted pericyte coverage and association with ECs in the VO. Together, the data suggest that PlGF regulates Ang-1 and Tie-2 expression in part through VEGFR1, which is involved in vascular cell function and stabilization. The findings may help design new therapeutic interventions for diabetic vasculopathy, such as diabetic macular edema and proliferative diabetic retinopathy, by targeting PlGF and Ang signaling pathways.
Metagenomic Analysis of Microbial Communities From Acidic Marshland Habitat of India
Authors: Nisha Khairun , Sunny Jithin S , Natrajan Anuradha , Saleena Lilly M. 
Published: July 2021

Abstract
Understanding the diversity and functioning of microbial communities in acidic marsh land is extremely less investigated in contrast to soils and aquatic ecosystems. This study implemented Illumina high-throughput sequencing to explore the microbial communities and xenobiotic degrading enzymes in the acidic marshland. Taxonomic analysis using SILVA SSU database stated that Proteobacteria (66.74 %), Bacteroidetes (6.98%) and acidobacteria (2.35 %) were the most abundant phylum in the acidic marshland. Functional analysis by SEED subsystems showed that 1.62 % substitute to metabolism of aromatic compound while KO indicates 1.86% of metabolism are involved in xenobiotic biodegradation. KO analysis also indicated the benzoate degradation pathway (ko00362) are predominant while Chlorocyclohexane and chlorobenzene degradation pathway (ko00361), Polycyclic aromatic hydrocarbon degradation pathway (ko00624) Aminobenzoate degradation pathway (ko00627) is largely present in the acidic marshland.
Molecular characterization of the Fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) on maize in southern Rajasthan, India
Authors: Babu Sakthivel Ramesh , Pachippan Perumal , Manoharan Raja , Joshi Sonika , Kalyan Deepika , Penuballi Swathi , K Kalyan R , Singh Beerendra , K Mahla M , Pramod Rokadia 
Published: July 2021

Abstract
The fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith) is a polyphagous Lepidopteran pest, a native to tropical and sub-tropical America and recently it has invaded the African and Asian countries. Presently, the mitochondrial Cytochrome Oxidase Subunit I (COI) - gene based molecular characterization of FAW samples from the maize fields of southern Rajasthan has revealed the occurrence of corn and rice strains there. The occurrence of such S. frugiperda population of Rajasthan region could be traced its origin from the Florida-Caribbean region or African region. Further, the Tpi gene region analysis showed that the S.frugiperda forms found in the maize fields are only the corn strains. In the Indian Rajasthan populations of FAW, the Tpi-variant2 category is the highest one and is then followed by the Tpi-variant1 and Tpi-variant3 was unique with C and T at Tpie4192 and Tpie4198, respectively. Further research is needed towards the confirmation of these tentatively identified strains of S. frugiperda that would in turn helpful for the proper monitoring, host-plant identification and the effective management of such pests.
Identification of Key Genes with Prognostic Value in Gastric Cancer by Bioinformatics Analysis
Authors: Lin Zhiying 
Published: July 2021

Abstract
Background: Gastric cancer (GC) is a digestive system tumor with high morbidity and mortality. It is urgently required to identify genes that are associated with GC prognosis and to elucidate the underlying molecular mechanisms. The aim of this study aims to identify the key genes which may affect the prognosis of GC patients and be a therapeutic strategy for GC patients by bioinformatic analysis. Methods: The significant prognostic differentially expressed genes (DEGs) were screened out from TCGA and the GEO datasets. The protein-protein interaction (PPI) network was established by STRING and screen key gene by MCODE and CytoNCA plug-ins in Cytoscape. Function enrichment analysis, construction of prognostic risk model and nomogram verify key genes as potential therapeutic target. Results: In total, 997 genes and 805 genes related to the prognosis of GC in the GSE84427 and TCGA datasets, respectively. We define the 128 genes shared by the two datasets as PRG. Then, the first 4 genes (MYLK、MYL9、LUM and CAV1) with great node importance in the PPI network of PRG were identified as key genes. Independent prognostic risk analysis found that patients with high PRG expression had poor prognosis, excluding their own age, gender and TNM stage. GO and KEGG enrichment analyses showed that key genes may exert influence through the PI3K-Akt pathway, in which, extracellular matrix organization and focal adhesion may play important roles in key genes influencing the prognosis of GC patients. Conclusion: We identified that MYLK、MYL9、LUM and CAV1 are potential reliable biomarkers prognosis key genes and invasion and migration target in GC.
Differential Expression Profiling of microRNAs in hPMSCs Co-culture With a Novel Porous Hydroxyapatite Scaffold
Authors: Deng Li , Qing Wei , Liu Cong , Zheng Jiajun , Huang Hao , Peng Pairan , Lai Shuang , Mu Yandong 
Published: July 2021

Abstract
Background and objective: Scaffold materials used for bone defect repair are often limited by the osteogenic efficacy. Meanwhile, microRNAs (miRNAs) have been shown to be involved in regulating the expression of osteogenic related genes. In previous studies, we have verified that the enhancement of osteogenesis using a novel porous hydroxyapatite scaffold (HAG). In this study, we analyzed the contribution of HAG to osteogenic differentiation of Human placenta-derived mesenchymal stem cells (hPMSCs) from the perspective of miRNA differential expression.Methods: The properties of hPMSCs were identified by flow cytometry, including CD44, CD90 and CD45 surface marker. The expression of osteogenic differentiation related genes mRNA and protein were detected by quantitative real-time PCR (qRT-PCR) and western blotting. The mineral depositions were measured by Alizarin red S (ARS) staining. The miRNA profiles were performed by microarray assay, and then further summarized through target, gene ontology and pathway analysis. The expression of differential miRNA were verified by qRT-PCR.Results: The results showed that HAG promoted the osteogenic differentiation of hPMSCs. Meanwhile, sequencing results showed that 16 miRNAs were significantly up-regulated and 29 miRNAs were down-regulated with HAG. In addition, bioinformatics analyses showed that the differentially expressed miRNAs are involved in a variety of biological processes including signal transduction, cell metabolic, cell junction, cell development and differentiation and connect to osteogenic differentiation through axon guidance, MAPK, and TGF-beta signaling pathway. Furthermore, multiple potential target genes of miRNA are closely related to osteogenic differentiation.Conclusion: The work first confirmed that differential expression of miRNAs in the process of osteogenic differentiation promoted by HAG scaffold, which also lays the foundation for the further construction of bone scaffolds loaded with miRNAs.
Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion
Authors: Mai The Tien 
Published: July 2021

Abstract
In this paper we perform numerous numerical studies for the problem of low-rank matrix completion. We compare the Bayesian approaches and a recently introduced de-biased estimator which provides a useful way to build confidence intervals of interest. From a theoretical viewpoint, the de-biased estimator comes with a sharp minimax-optimal rate of estimation error whereas the Bayesian approach reaches this rate with an additional logarithmic factor. Our simulation studies show originally interesting results that the de-biased estimator is just as strong as the Bayesian estimators. Moreover, Bayesian approaches are much more stable and can outperform the de-biased estimator in the case of small samples. In additions, we also find that the coverage rate of the confidence intervals revealed by the de-biased estimator for an entry is absolutely lower than of the considered credible interval. These suggest further theoretical studies on the estimation error and the concentration for Bayesian methods as they are being quite limited up to present.
Environmentally Clean Ceramics Manufacturing With Application of Hazardous Car Production Mud and Galvanic Process Glass Waste
Authors: Mymrin Vsevolod , Alekseev Kirill , Avanci Monica A. , Rolim Paulo H.B. , Pedroso Cleber L. , Pedroso Daniela E. 
Published: July 2021

Abstract
It was developed new ceramics composites with hazardous car production mud (CPM) and galvanic process glass waste with high content of heavy metals. They were applied as valuable components of red ceramics sintered at 700°, 750°, 800°, 850°, 900°, and 950°C to provide flexural resistance of up to 17.6 MPa, water absorption at 950°C 6.53 -10.45%, linear shrinkage – 5.24-6.29%, density 2.7 – 3.2 g/cm³, and dilatation coefficient 5.3 -13.8%. Structure formation studies by the XRD, SEM, EDS, and LAMMA methods demonstrated the synthesis of amorphous glassy material with small inclusion of mullite Al6Si2O13. Car production mud and galvanic process glass waste play the role of the intensifiers of the ceramics’ structures formation processes. The ceramics' leaching and solubility tests by the atomic absorption spectroscopy method showed strong chemical bond of heavy metals of the hazardous raw materials in insoluble structures. According to Brazilian standards, they can be used to produce tiles, bricks, blocks, and similar materials with high environmental eficiency.
Beyond Raw Performance: Neural Machine Translation Based Multi-lingual Classification of Tweets for Automated Disease Surveillance
Authors: Magumba Mark Abraham , Nabende Peter 
Published: July 2021

Abstract
Twitter and social media as a whole have great potential as a source of disease surveillance data however the general messiness of tweets presents several challenges for standard information extraction methods. Most deployed systems employ approaches that rely on simple keyword matching and do not distinguish between relevant and irrelevant keyword mentions making them susceptible to false positives as a result of the fact that keyword volume can be influenced by several social phenomena that may be unrelated to disease occurrence. Furthermore, most solutions are intended for a single language and those meant for multilingual scenarios do not incorporate semantic context. In this paper we experimentally examine a translation based approach that allows for incorporation of semantic context in multi-lingual disease surveillance in the social web.
Finite Element Analysis of the Optimal Configuration of Bridging Combined Internal Fixation System in The Treatment of Vancouver B1 Periprosthetic Femoral Fractures
Authors: Zhang Long , Haque Md Ariful , Xiong Ying , Qin Jing , Liu Luyun , Zhang Yingjie , Xiao Jiayu 
Published: July 2021

Abstract
Background and Objective: The incidence of periprosthetic fracture increases with the increase of total hip arthroplasty. The treatment of periprosthetic fracture is always a difficult point. The bridged combined internal fixation system (Ortho-bridge System, OBS) is well adapted to the characteristics of periprosthetic fractures.In this study, finite element analysis was used to evaluate the optimal configuration of OBS for fixation of Vancouver B1 periprosthetic femoral fractures.Methods: A three-rod combination OBS fixation model was established to evaluate the optimal position of the third rod, the cross Angle of proximal screws, the diameter of the connecting rod, and the number of screws. Femoral displacement and the maximum Von Mises (equivalent) stress of OBS were used as evaluation indexes.Results: The third rod is located at 35mm below the lateral fovea of the femur and the minimum Von Mises peak stress of OBS, which is the best location for placing the third rod. It is feasible for proximal screw intersection Angle to be about 71° and 84°.To fix the strength, the 6mm connecting rod is better. Considering the number of screws scheme comprehensively, scheme D is the best number of screws scheme.Conclusion: The personalized and diversified fixation mode of OBS is well adapted to the characteristics of periprosthetic fracture and provides an effective means for the treatment of periprosthetic femoral fracture.
Pneumonia caused by Lichtheimia ramosa during the COVID-19 pandemic in Hubei Province, China：mNGS assists diagnosis
Authors: Song Jiangqin , Li Hui , Hu Fuying , Li Huashun , Chen Youping , Zhu Weifang , Tian Youjun , Zhou Benjian , Wei Hui 
Published: July 2021

Abstract
BackgroundRecently, COVID-19 is still pandemic in worldwide. India has reported multiple cases of COVID-19 combined with mucormycosis(MM)(1). This paper reports a case during the COVID-19 pandemic in Hubei Province, China. Case PresentationA anesthesiology doctor was initially diagnosed as COVID-19 due to changes in lung imaging. Later Lichtheimia ramose was found by Metagenomic next generation sequencing (mNGS) in the Bronchoalveolar lavage fluid (BALF).After adjusting amphotericin B for anti-infective treatment, the patient's infection lesions were shranked and the symptoms were significantly relieved.ConclusionThe diagnosis of invasive fungal infections is very difficult, mNGS can make an accurate pathogenic diagnosis of invasive fungal diseases for the clinic and provide a basis for clinical treatment.