bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of TCP Transcription Factors Revealed Potential Roles in Plant Growth and Fusarium Oxysporum F.Sp. Cubense Tolerance in Banana (cv. Rasthali)
Authors: Chaturvedi Siddhant , Khan Shahirina , Usharani T. R. , Tiwari Siddharth 
Published: September 2021

Abstract
The TCP transcription factor gene family is highly conserved among the plant species. It plays a major role in the regulation of flower symmetry, cell division, development of leaf, fibre and nodule in the plants by controlling the synthesis of various plant hormones. Banana is a major staple crop in the world. However, Fusarium oxysporum f. sp. cubense (Foc) infection is a major threat to banana production. The role of TCP gene family during the Foc infection is not explored till now. Herein, a total of 27 non-redundant TCP (MaTCP) gene sequences were retrieved from the banana genome and analysed for structural characteristics, phylogenetic correlation, subcellular, and chromosomal localizations. Phylogenetic analysis showed that the MaTCP proteins were highly conserved among different species and found to be the closest relative of the Oryza sativa and Zea mays. Promoter analysis of the TCP sequences showed that the cis-acting regulatory elements are associated with various stresses, environmental and hormonal signals. The higher transcripts accumulation in developing tissues (fruit finger, leaves, and stem) than of mature tissues (peel and pulp) showed a significant role of MaTCP in banana (cv. Rasthali) growth and development. Further, higher expression of the certain MaTCPs (MaTCP2, MaTCP4, MaTCP6, MaTCP9 and MaTCP11) in Foc race 1 infected root and leaf tissues of Rasthali indicated their promising role during Fusarium infection. This study will underpin the facet of TCP transcription factors on the development of biotic (Foc) stress tolerance in banana.
Does Environmental Decentralization Improve Regional Green Innovation? Evidence from China
Authors: Yang Nana , Liu Qiming 
Published: September 2021

Abstract
Green innovation is critical for sustainable development. The reform of environmental management system plays an important role in improving environmental pollution and technology progress. Working from a heterogeneous perspective, this study investigates the effects of different types of environmental decentralization on regional green innovation using statistical data from 30 provinces in China over the period of 2000–2015. The results show that environmental decentralization (ED) promotes regional green innovation. Furthermore, according to different environmental management of levels and affairs, we divide environmental decentralization into provincial-level environmental decentralization (PED), municipal-level environmental decentralization (MED), and county-level environmental decentralization (CED); environmental administrative decentralization (EAD), environmental monitoring decentralization (EMD), and environmental supervision decentralization (ESD), respectively. There is also evidence suggesting that different types of environmental decentralization have varied effects on regional green innovation. These findings set out in this study are robust when different methods are employed. A further investigation indicates that the effects of different types of environmental decentralization on green innovation apparently differ across Chinese different regions. Some policy recommendations will help policymakers to determine more effective environmental decentralization.
Characterization of The Microbiome In Bile From Normal Human Gallbladders
Authors: Watanabe Shin , Shinoda Tadashi , Minagawa Masaaki , Toya Mari , Motooka Daisuke , Kirikae Teruo , Saiura Akio , Nakamura Shota 
Published: September 2021

Abstract
Background: Scientists previously believed that bacteria could not grow in bile, which is rich in bacteriostatic compounds such as bile acids. Therefore, the biliary tract was considered to be a sterile environment. However, high-throughput (i.e., amplicon) sequencing analysis methods have recently been used to discover the bacterial flora in gallbladder bile in brain-dead patients with normal gallbladders. In a bacterial flora analysis targeting the 16S ribosomal gene, a specific flora was present in the bile of normal gallbladders. However, these results were not obtained from truly healthy individuals. Therefore, the aim of this study was to analyze the microbial flora of bile collected from pathologically normal gallbladders that were surgically removed from patients with hepatobiliary pancreatic diseases who had normal liver function.Results: All 12 bile samples obtained from the gallbladders had negative culture results, although a bacterial flora was detected in all samples via 16S ribosome gene analysis. The composition of the bacterial flora was very simple, and the Firmicutes, Proteobacteria, and Actinobacteria phyla were identified in all samples. Based on 16S rRNA gene profile analysis, the composition ratio accounted for more than 80% of the total number of reads. The Anaerobacillus, Delftia, Bacillus, Ralstonia, Ochrobactrum, Acidovorax, and Curvibacter genera were detected in all 12 samples. Based on 16S rRNA gene profile analysis, at the genus level, Anaerobacillus and Delftia accounted for 58.62%–87.63% of the identified bacteria in each sample. Conclusions: In this study, the bacterial flora in the gallbladder bile was not diverse. Contrary to previous reports, few bacteria belonging to the Bacteroidetes phylum were detected. The functional significance of the gallbladder bacterial flora requires further investigation.
A Qualitative Analysis of Feelings and Experiences Associated With Perinatal Distress During the Covid-19 Pandemic
Authors: Jones Katie , Harrison Virginia , Moulds Michelle L. 
Published: September 2021

Abstract
Background: Rates of perinatal psychological difficulties (experienced during pregnancy and the twelve-months postpartum) increased dramatically worldwide during the COVID-19 pandemic. In the UK, anxiety and depression were estimated to affect more than half of perinatal women during the first national lockdown. However, little is known about women’s qualitative experiences of distress and the sources of their symptoms. This study aimed to extend quantitative research to qualitatively explore: 1) the psychological symptoms associated with maternal perinatal distress during the COVID-19 pandemic; and 2) the associated psychosocial stressors, in order to guide future preventative and supportive interventions.Methods: As part of an online survey during May 2020, 424 perinatal women completed an open-ended question regarding a recent experience of distress. Qualitative data was analysed using inductive thematic analysis from a realist stance and explored in the context of perinatal anxiety and depression scores.Results: Thematic analysis of the data identified thirteen distinct symptom-related themes of psychological distress. Despite the high rates of probable depression in the sample, women’s descriptions of symptoms were more indicative of anxiety and general distress, rather than those traditionally related to depression. Furthermore, qualitative experiences of distress differed between pre- and postnatal women. In terms of the associated psychosocial stressors, six themes emerged. Three were related to COVID-19, and three described general motherhood experiences unrelated to the pandemic context. Psychological conflict between maternal expectations and the reality of pregnancy and motherhood, and fears surrounding family health, safety, and wellbeing underlay many of the themes. Conclusions: Interventions to support perinatal wellbeing may benefit from a transdiagnostic approach focusing on a multitude of symptoms, particularly those associated with anxiety and general distress. Support should also aim to develop healthy expectations of perinatal experiences, as well as provide psychoeducation to alleviate fears in pregnancy and early motherhood to help reduce maternal distress. This paper also highlights some of the traumatic COVID-related stressors which should be addressed to reduce enduring and recurrent episodes of trauma whilst presenting various opportunities to better support perinatal women should future pandemic restrictions be required.
Modelling Kidney Outcomes Based On MELD Eras - Impact of MELD Score In Renal Endpoints After Liver Transplantation
Authors: Lins Paulo Ricardo Gessolo , Narciso Roberto Camargo , Ferraz Leonardo Rolim , Pereira Virgilio Gonçalves , Ferraz-Neto Ben-Hur , Almeida Marcio Dias , Santos Bento Fortunato Cardoso Dos , Pavão Oscar Fernando , Monte Júlio Cesar Martins , Júnior Marcelino Souza Durão , Batista Marcelo Costa 
Published: September 2021

Abstract
Background: Acute kidney injury is a common complication in solid organ transplants, notably liver transplantation. The MELD is a score validated to predict mortality of cirrhotic patients, which is also used for organ allocation, however the influence of this allocation criteria on AKI incidence and mortality after liver transplantation is still uncertain.Methods: This is a retrospective single center study of a cohort of patients submitted to liver transplant in a tertiary Brazilian hospital: Jan/2002 to Dec/2013, divided in two groups, before and after MELD implementation (pre MELD and post MELD). We evaluate the differences in AKI based on KDIGO stages and mortality rates between the two groups. Results: 874 patients were included, 408 in pre-MELD and 466 in the post MELD era. The proportion of patients that developed AKI was lower in the post MELD era (p 0.04), although renal replacement therapy requirement was more frequent in this group (p<0.01). Overall mortality rate at 28, 90 and 365 days was respectively 7%, 11% and 15%. The 1-year mortality rate was lower in the post MELD era (20% vs. 11%, p<0.01). AKI incidence was 50% lower in the post MELD era even when adjusted for clinically relevant covariates (p<0.01). Conclusion: Liver transplants performed in the post MELD era had a lower incidence of AKI, although there were more cases requiring dialysis. 1-year mortality was lower in the post MELD era, suggesting that patient care was improved during this period.
Genetic Control of Rhizosphere Microbiome of Cotton Plant Under Field Conditions
Authors: Wei Feng , Feng Zili , Yang Chuanzhen , Zhao Lihong , Zhang Yalin , Feng Hongjie , Zhu Heqin , Xu Xiangming 
Published: September 2021

Abstract

Background: Understanding the extent of heritability of plant-associated microbiome (phytobiome) is critical for exploitation of phytobiome in agriculture. Two crosses were made between pairs of cotton cultivars with differential resistance to the Verticillium wilt. F2 plants were grown together with the four parents to study the heritability of cotton rhizosphere microbiome. Amplicon sequencing was used to profile bacterial and fungal communities.Results: F2 hybrid offspring of both crosses had higher alpha diversity indices as well as greater variability than the two parents. Two types of data were used generated to study the heritability of rhizosphere microbiome: principal components (PCs) and individual top microbial OTUs. For the L1×Z49 cross, the variance among the 100 progeny genotypes (VT) was significantly greater than the random variability (VE) for 12 and 34 out of top 100 fungal and bacterial PCs, respectively. For the Z2×J11 cross, the corresponding values were 10 and 20 PCs. Out of the top 100 OTUs, 29 fungal OTUs and 10 bacterial OTUs had VT that was significantly greater than VE for the L1×Z49 cross; the corresponding value for the Z2×J11 cross were 24 and one. The estimated heritability was mostly in the range of 40% to 60%.Conclusions: These results suggested the existence of genetic control in terms of rhizosphere microbiome in cotton.
WITHDRAWN: Novel Insights Into Heat Tolerance Using Microbiome and Metabolomics Analyses in Dairy Cows Rumen Fluid
Authors: Wang Zichen , Liu Leizhen , Pang Fanglin , Zheng Zhuo , Teng Zhanwei , Miao Ting , Fu Tong , Rushdi Hossam Eldin , Yang Liguo , Gao Tengyun , Liu Shenhe , Lin Feng 
Published: September 2021

Abstract
Background: Heat stress is a key issue of growing concern for livestock industry worldwide due to its negative effects not only on milk production, fertility, health, welfare, and economic returns of dairy cows, but also on the microbial communities in the rumen. However, the underlying relationship between rumen microbiome and its associated metabolism with heat tolerance in cow have not been extensively described yet. Therefore, the main objective of this study was to investigate differential heat resistance in Holstein cows using rumen microbiome and metabolome analyses.Methods: We performed both principal component analysis and membership function analysis to select 7 heat-tolerant (HT) and 7 heat-sensitive (HS) cows. The ruminal fluid samples of two groups were collected at two hours post feeding on 7th day of heat stress period, for analyses including rumen fermentation parameters, rumen microbiome and nontargeted metabolomics.Results: Under heat stress conditions, the HT cows had a significantly higher propionic acid content than the HS cows; whereas measures of the respiratory rate (RR), rectal temperature (RT), acetic,butyric acid and acetic acid to propionic acid ratio (A:P) in the HT cows were lower compared with the HS cows. Omics sequencing revealed that the relative abundance of Rikenellaceae_RC9_gut_group, Succiniclasticum, Ruminococcaceae_NK4A214_group and Christensenellaceae_R-7_group were significantly higher in the HT than HS cows; whereas Prevotella_1, Ruminococcaceae_UCG-014, and Shuttleworthia were significantly higher in the HS cows compared to HT cows. Substances mainly involved in carbohydrate metabolism, including glycerol, mannitol, and maltose, showed significantly higher content in the HT cows compared to that in the HS cows. Simultaneously, RR was significantly correlated with both differential microorganisms and distinct metabolites, suggesting three metabolites could be potential biomarkers for determining heat resistance that require further research.Conclusion: Overall, distinct changes in the rumen microbiome and metabolomics in the HT cows may be associated with better adaptability to heat stress. These findings suggest their use as diagnostic tools of heat tolerance in dairy cattle breeding schemes.
Prevalence and Radiographic Characteristics of Non-syndromic Supernumerary Teeth in a Shanghai Dental Hospital Pediatric Population: A Cross-sectional Study
Authors: Fei Yue , Huang Xiao , Liu Shangfeng , Feng Jinqiu 
Published: September 2021

Abstract
Background Epidemiological studies can promote the further understanding of the characteristics of non-syndromic supernumerary teeth(ST) and provide references for the clinical work and the basic research in the future. This study aimed to investigate the prevalence and radiographic characteristics of non-syndrome supernumerary teeth (ST) in pediatric patients attending one Shanghai hospital.MethodsCone beam computed tomography (CBCT) of 639 subjects diagnosed with non-syndromic ST among 255259 pediatric patients visiting Shanghai Stomatology Hospital were analyzed to evaluate the number, morphology, location, orientation and sagittal position of supernumerary teeth. The profile of patients and radiographic characteristics were collected. Pearson’s Chi-square test and Fisher exact test were employed to estimate the potential relationships between categorical covariates.ResultsThe overall prevalence of ST was 0.25%, and the male: female ratio was 3.07:1. Most ST were single, with a conical shape and vertical orientation, located in maxillary anterior region, palatally/lingually positioned in sagittal plain and detected in mixed dentition. Malposition of adjacent permanent teeth was most common complication. The morphology of ST was significantly correlated with development and eruption of the adjacent permanent teeth, while the orientation was only associated with malposition of neighboring teeth. ConclusionsThe epidemiological and radiographic data in this study can be applied as a reference for characterization understanding and clinical treatment planning of ST in Shanghai children and adolescents.
Barriers To Oral Health Among U.S. Children with Developmental Disorders: A Population-Based Study
Authors: Obeidat Raghad , Noureldin Amal , Bitouni Anneta , Abdellatif Hoda , Lewis-Miranda Shirley , Liu Shuling , Badner Victor , Timothé Peggy 
Published: September 2021

Abstract
Background

Children with developmental disorders (DD) have higher rates of oral diseases and tooth decay compared to the general population. Despite that, they often face more barriers to access the needed health care, especially dental care. This study aims to describe the oral health needs (OHN), utilization of dental services, and unmet dental needs of children with developmental disorders (DD) compared to children without developmental disorders (DD); and to assess the impact of access to healthcare factors on the oral health of children with DD.
Methods

This cross-sectional study utilized a sample of 30,530 noninstitutionalized children from the 2018 National Survey of Children’s Health (NSCH). Descriptive and inferential statistics were used to compare and analyze healthcare barriers in children with and without OHN.
Results

Overall, there were 6,501 children with DD compared to 24,029 children without DD. A significantly higher proportion of children with DD relative to children without DD were found with OHN (20.3% vs. 12.2%, respectively), unmet dental needs (3.5% vs 1.2%), and utilization of any dental visits (86.1% vs 76.1%), (P-value <. 001). The adjusted logistic model found that poverty (< 100% of the Federal Poverty Level (AOR = 2.27, CI: 1.46–3.51), being uninsured (AOR = 2.12, 95% CI: 1.14–3.95), a great deal of disability (AOR = 1.89, CI: 1.23–2.78), and living in the West (AOR = 1.61, CI: 1.09–2.37) contributed to the largest odds of OHN among children with DD.
Conclusion

Despite the high utilization of dental services, children with DD had poor oral health and more unmet dental needs compared to children without DD. Advocacy efforts and policy changes are needed for the development of an integrated model of care that addresses health insurance, poverty and considers children’s levels of disability.
An In-Silico Analysis of Acquired Antimicrobial Resistance Genes in Pseudomonas Aeruginosa Plasmids
Authors: Ramazanzadeh Rashid 
Published: September 2021

Abstract
Introduction: The aim of this study to reveal the prevalence of acquired antimicrobial genes in sequences of P. aeruginosa plasmids by using in silico methods.Methods: This study included 828 items with using 'Pseudomonas aeruginosa and plasmid’ keywords for searching in NCBI database. The sequences of 94 plasmids were retrieved from GenBank and analysed for detection of acquired antimicrobial resistance (AMR) genes with using ResFinder 2.1 database/webserver, KmerResistance 2.2 database. and ResFinderFG 1.0. Plasmids Sequence were aligned with using MEGA X Molecular Evolutionary Genetics Analysis across Computing Platforms.Results: 67 out of 94 plasmids sequences were qualified as AMR containing plasmids. For detected 9 classes of AMR genes, aminoglycosides 39.6% were highest rate. The next frequencies were beta-lactams (19%), sulphonamides (14.5%), and fluoroquinolones (10.1%). For nine classes of antibiotics, 74 AMR gene were identified. Prevalent of sulphonamide resistance gene Sul1 was 32 out of 277 gene. In AMR plasmids, 6 ARD family were detected. 15 representative genomic sequences selected from each clade and three clades were revealed from them. The relationship of clades with drug resistance was not significant (p-value = 0.682).Conclusions: Analyzing the Information in annotated sequence is reveal the mechanism of spreading of resistance gene in plasmids. Detection the trace of AMR genes in world papulation can help to find more response to question in regards to spread of infection and analysis of AMR gene sequences give more insight to scientist to control of Pseudomonas aeruginosa infections.
Assessment of Surface Water Quality and Monitoring in Southern Vietnam Using Multicriteria Statistical Approaches
Authors: Nguyen Giao Thanh , Nhien Huynh Thi Hong 
Published: September 2021

Abstract
The study was conducted to analyze water quality fluctuations in the South of Vietnam using monitoring data at 58 locations, measured 8 times per year, analyzing 16 water quality indicators in 2020. The study has used national technical regulations on surface water quality (QCVN 08-MT:2015/BTNMT, column A1), water quality index (WQI), cluster analysis (CA), principal component analysis (PCA) and Entropy weighted methods to analyze surface water quality. The results showed that the water quality was contaminated with organics (low DO while TSS, BOD, COD was high), nutrients (mainly N-NH4+) and Fe. Pb at some locations exceeded the allowable limit. Cd, Hg and As were within the allowable limits of QCVN 08-MT:2015/BTNMT, column A1. DO, TSS, BOD, COD, N-NH4+, Fe, EC, TDS, Cl- were seasonally fluctuated. WQI classified water quality from bad to very good (WQI=42-100) due to the impact of hydrological conditions, navigation, wastewater and waste from industrial zones, and fishing ports. The findings presented that it is possible to reduce the 11 sampling locations of cluster 1-6, reduce the frequency of monitoring from 8 to 5 times per year, while still ensuring representativeness of water quality over time, reducing the monitoring costs by 56.5%. The PCA identified five major potential sources explaining 87.3% and 8 minor sources explaining only 12.7% of water quality variation. Temperature, pH, EC, DO, BOD, COD, N-NH4+, N-NO2-, Fe, Cl-, Pb need to be monitored, while adding indicators P-PO43-, TP, TN, coliforms into the future monitoring program. The study shows that the medium and bad water quality are concentrated in Dong Nai, Ho Chi Minh City and Long An, so the relevant environmental management agencies needs to find solutions to improve the water quality in those areas. The current results can assist in decision-making related to environmental quality monitoring in the southern region of Vietnam.