bluuebunny/crossref_metadata_2025_split huggingface dataset:
Severe lung dysfunction and pulmonary blood flow during extracorporeal membrane oxygenation
Authors: Falk Lars , Lidegran Marika K. , Ruiz Sandra Diaz , Hultman Jan , Broman Lars Mikael 
Published: November 2022

Abstract
Background: Extracorporeal membrane oxygenation (ECMO) is indicated for patients with respiratory and/or circulatory failure. The standard technique to visualize the extent of pulmonary damage during ECMO is computed tomography (CT).
Purpose: This single centre retrospective study aimed to investigate whether pulmonary blood flow (PBF) measured with echocardiography may assist in the assessment of the extent of pulmonary damage and whether echocardiography and CT findings are associated with patient outcome.
Methods: All patients (>15 years of age) commenced on ECMO between 2011 and 2017 with septic shock with a pulmonary origin, and a treatment time >28 days were screened. Of 277 eligible patients, nine were identified where both CT and echocardiography had been consecutively performed.
Results: CT failed to indicate any differences in viable lung parenchyma within or between survivors and non-survivors at any time over the course of ECMO. At initiation of ECMO the survivors (n=5) had a mean PBF of 3.8 L/min and the non-survivors (n=4) 3.5 L/min, p=0.78. Survivors showed no change over time concerning PBF (3.8±2.1 at ECMO start vs. 7.9±4.3 L/min at the end of treatment, p=0.12). The non-survivors showed a significant deterioration in PBF from the ECMO start to the end of support (3.5±1.0 L/min vs. 1.0±1.1, respectively, p=0.029).
Conclusions: Although CT is widely used to examine pulmonary viability and recovery, our results do not support CT as a prognostic tool. However, this hypothesis-generating investigation supports echocardiography as a tool to predict pulmonary recovery via assessment of PBF at early to later stages of ECMO treatment. Prospective studies are needed.
Study and Research of Milky Shine on the Surface of Zisha Pot by Microscopy Imaging
Authors: Yadav Nagendra Prasad , Hu Guozhen 
Published: November 2022

Abstract
Optical imaging has offered unique advantages in material research, such as spectroscopy and lifetime measurements of deeply embedded materials, which cannot be matched using electron or scanning probe microscopy. The first special quality that makes Zisha teapots esteemed and collectible items for tea lovers are that it is an especially absorbent material. Many efforts have been made by researchers to improve the optical imaging resolution. In the face of recent rapid progress, super-resolution optical imaging has yet to be widely applied to non-biological materials. Herein we describe a method for Milky Shine on the Surface of Zisha (Yixing) Pot by Super-Resolution Parameter Indirect Microscopy Imaging. Further, we have seen that the surface resolution of PIMI images is better than a conventional image. Zisha ceramics is a distinctive pottery tradition unique to China. PIMI images of Zisha pot has been reportred and resolution is near about 50nm, which is much better than conventional images.
DGKζ deficiency promotes maladaptive cardiac hypertrophy through modulating autophagy via mTOR/TFEB signaling pathway
Authors: Liu Yumei , Zhang Han , Lin Yaxian , Yin Yuan , Zou Ganglin , Qian Peipei , Zhang Haining , Zhang Jinxin 
Published: November 2022

Abstract
The activation of diacylglycerol (DAG) signaling by Gq protein-coupled receptor (GPCR) is a crucial factor contributing to maladaptive cardiac hypertrophy. Previous studies showed that diacylglycerol kinase zeta (DGKζ) suppressed cardiac hypertrophy by attenuating DAG signaling. However, the mechanisms involved remain to be elucidated. In present study, we showed that DGKζ ameliorated adverse cardiac hypertrophy induced by DAG signaling through negatively regulating autophagy. We demonstrated that sustained activation of DAG signaling by transverse aortic constriction (TAC) in mice or by endothelin (ET)-1 in cardiomyocytes triggered progressive cardiac hypertrophy, cardiac dysfunction and ultimately heart failure. In response to prohypertrophic challenge, autophagy activity was markedly upregulated. Importantly, we found that the persistent upregulation of autophagy flux by rapamycin aggravated the long-term adverse cardiac hypertrophy and dysfunction. While all of which could be ameliorated by inhibition of autophagy by CQ or 3-MA. Furthermore, we observed that expression of DGKζ was significantly downregulated both in TAC mice heart and in ET-1-treated cardiomyocytes. Specific gene deletion of DGKζ augmented autophagy flux by disrupting the activation of AKT/mTOR signaling, the association between mTOR and TFEB, and favoring the nuclear translocation of TFEB from cytoplasm and the nuclear accumulation of TFEB. Of note, knockdown of TFEB blunted the effects of DGKζ deletion on cardiac autophagy and cardiac hypertrophy. Taken together, these results suggested that regulating autophagy via mTOR/TFEB signaling pathway might be a novel mechanism for DGKζ to ameliorate pathological cardiac hypertrophy.
Co-aggregation with Apolipoprotein E modulates the function of Amyloid-β in Alzheimer's disease
Authors: Xia Zengjie , Prescott Emily , Wareing Hollie , Matuszyk Martyna , Dakin Helen , Dimou Eleni , Hidari Eric , Zhang Yu , Lam Jeff , Danial John , Leah Tom , Barnes Katy , Jiang Hong , Strickland Michael , Thornton Peter , Crowther Damian , Holtzman David , Bell Simon , Higginbottom Adrian , Ferraiuolo Laura , Mortiboys Heather , Wharton Stephen , Ranasinghe Rohan , Klenerman David , De Suman 
Published: November 2022

Abstract

Which isoforms of apolipoprotein E (apoE) we inherit determine our risk of developing late-onset Alzheimer’s Disease (AD), but the mechanism underlying this link is poorly understood. In particular, the relevance of direct interactions between apoE and amyloid-β (Aβ) remains controversial. Here, single-molecule imaging shows that all isoforms of apoE associate with Aβ in the early stages of aggregation and then fall away as fibrillation happens. ApoE-Aβ co-aggregates account for ~ 50% of the mass of soluble Aβ aggregates detected in the frontal cortices of homozygotes with the higher-risk APOE4 gene. Our results connect inherited APOE genotype with the risk of developing AD by demonstrating how, in an isoform- and lipidation-specific way, apoE modulates the aggregation, clearance and toxicity of Aβ. Selectively removing non-lipidated apoE4-Aβ co-aggregates enhances clearance of toxic Aβ by glial cells, and reduces inflammation and membrane damage, demonstrating a clear path to AD therapeutics.
Medical records and multiple sclerosis: A population-based case–control study
Authors: esfandiari Fatemeh , Ghazaiean Mobin , Darvishi-Khezri Hadi , Baghbanian Seyed Mohammad 
Published: November 2022

Abstract
Background
Medical records on multiple sclerosis progression is not complete. This study aimed to review the medical records and sociodemographic findings of the multiple sclerosis population in Mazandaran province.
Method
This case-control study included cases and two groups of patient control and healthy control groups (n=200 per group). Multivariable analysis was used to calculate odds ratios and 95% confidence intervals (CI).
Result
The participants’ mean age was 36.5 ± 11.9 years, and there were 381 (63.5%) female cases in this study. According to adjusted odds ratios, the highest and the lowest roles for the multiple sclerosis progression included measles (4.40; 95% CI: 1.73 to 11.1), psoriasis (4.63; 95% CI: 0.35 to 60.6), myasthenia gravis (7.15; 95% CI: 1.87 to 27.2) and amoxicillin (4.75; 95% CI: 2.05 to 11), seizure (0.14; 95% CI: 0.03 to 0.69), and epilepsy (0.17; 95% CI: 0.02 to1.49).
Conclusion
Myasthenia gravis and seizure had the highest and lowest association with multiple sclerosis, respectively. Hence, this study implied that autoimmune diseases were more frequently correlated with the multiple sclerosis progression.
Preparation and Properties of Flexible Cushioning Composites Based on Silicone Rubber and Warp - knitted Spacer Fabric
Authors: Jiang Shan , Ding Modan , Chen Weilai , Wang Jinfeng 
Published: November 2022

Abstract
This paper aims to develop a new type of flexible cushioning composite material that can be applied to cushioning protective appliances. Room temperature vulcanized silicone rubber (RTV silicone rubber) was filled into five groups of warp knitted spacer fabrics with different structural parameters, and flexible cushioning composites with filling rates of 30%, 50% and 70% were prepared. At the same time, there was a group of warp knitted spacer fabrics without silicone rubber as control. Then the infrared spectrum of silicone rubber was analyzed to test the compression and impact properties of flexible cushioning composite. It is found that the increase of filling rate enhances the compressive and impact properties of flexible cushioning composites. The flexible cushioning composite material can show better compression performance at a larger compression ratio; the compression performance is not related to the spacing density of the fabric. The structural parameters affecting the impact properties of flexible cushioning composites are arranged in descending order as fabric thickness, spacer tilt angle, spacer density and spacer diameter. The established mathematical model can provide a theoretical basis for the performance study of such composite materials. The compressive properties and impact properties of flexible buffer composites are not correlated.
Comparison of Cross-lingual Strategies for AMR-to-Brazilian Portuguese Generation
Authors: Cabezudo Marco Antonio Sobrevilla , Anchiêta Rafael Torres , Pardo Thiago Alexandre Salgueiro 
Published: November 2022

Abstract
This work presents a study of different strategies for tackling low-resource AMR-to-text generation for Brazilian Portuguese on three approaches. In particular, we explore the use of English AMR as an interlingua and transfer learning (TL). The results suggest that using AMR as an interlingua can be a strong baseline. However, we need to consider the bilingual dictionary used in the concept translation, as it can harm text generation. On the other hand, TL seems to be a promising strategy for generating accurate outputs, but its contribution is not significant. Finally, we present a transformer-based model with the best performance, surpassing all baselines.
Molecular phylogeny, character evolution, and biogeography of Aster species (Asteraceae) from the Qinghai-Tibet Plateau
Authors: Wang Junjun , Zhang Yingxiu , Zhao Riza , Lei Yingxia , Zhang Zhifeng 
Published: November 2022

Abstract
Background
The genus Aster on the Qinghai-Tibet Plateau is an important part of its ecosystem. In this study, 94 accessions of Astereae species (including 25 taxa from the Qinghai-Tibet Plateau) were included for the phylogenetic analyses using nrDNA ITS and cpDNA trnL-F sequences. Then, based on the phylogenetic analysis results of Bayesian method, the chart of network topology, the graph of divergence time, the map of biogeography and the figure of ancestral state reconstruction (including the number of ray florets, number of pappus and number of bracts.) were constructed.
Results
(1)Phylogenetic analysis of the ITS gene showed that Astereae species in Qinghai-Tibetan Plateau were divided into two branches, but the analysis result of the trnL-F gene showed that they were clustered in one branch. (2)Molecular dating estimated that the divergence time of Astereae species in Qinghai-Tibet Plateau could be dated back to 2.02 Ma. (3)The ancestral state of Astereae species was reconstructed, and the results showed that the trait evolution in the Qinghai-Tibet Plateau region was different from that in other regions. (4)Biogeography results showed that Aster species in the Qinghai-Tibet Plateau were mainly from Eurasia.
Conclusion
This study provides a scientific basis and reference for the genetic relationship of Aster species and related genera.
Identification of Common Genes and Screening of Therapeutic Agents for Major Depressive Disorder and Alzheimer's Disease through Integrated Bioinformatics Approach
Authors: Xie Mengtong , Jin Mengdi , Li Xinwei , Hu Guoyan , Li Weizhen , Dong Lin , Xue Fengyu , Yu Qiong 
Published: November 2022

Abstract
Objective

To investigate the interactions between major depressive disorder(MDD) and Alzheimer's disease(AD) through bioinformatics to detect biomarkers that contribute to the onset and progression of MDD and AD, so as to allow for immediate intervention and treatment.

Methods

MDD dataset GSE98793 and AD dataset GSE63060 were obtained from the Gene Expression Omnibus(GEO) database. Identification of common differential genes(DEGs) in both datasets, followed by GO and Pathway analysis, then constructing protein-protein interaction(PPI) networks, identifying hub genes and validating with the GSE63061 dataset. TF-gene and gene-miRNA interactions networks were then constructed and potential therapeutic agents were identified.

Results

Totally 31 common DEGs were identified. GO analysis revealed that these DEGs were enriched in cytoplasmic translation, fructose-2,6-bisphosphate 2-phosphatase activity, tertiary granule lumen. Additionally, Pathway analysis enriched in the Cytoplasmic Ribosomal Proteins, Ribosome, Viral mRNA Translation and TSP-1 Induced Apoptosis in Microvascular Endothelial Cell. By structuring PPI network, 10 hub genes were identified, and 9(RPS3A, RPS15A, RPL9, NDUFA4, RPS17, CD3D, GZMA, S100A12, KLRB1) were validated. Through the NetworkAnalyst platform, TFs(GTF2E2, FOXJ2, CREB3L1, TFDP1, SAP30), miRNAs(mir-16-5p, mir-1-3p, mir-124-3p, mir-7-5p, mir-146a-5p) and chemicals(Aflatoxin B, Benzo(a)pyrene, Estradiol, Valproic Acid, Nickel) interacting with common DEGs were identified. Through Enrichr platform, drugs including aspirin, medroxyprogesterone acetate, p-Phenylenediamine, COBALT, sodium dodecyl sulfate were identified. Additionally, totally 53 effective drugs were identified through the Drug-Gene Interaction Database.

Conclusion

Overall, these hub genes, TFs, and miRNAs may represent potential diagnostic and therapeutic targets for MDD and AD, and these agents may provide fresh insights and alternatives for the treatment of MDD and AD.
Study on Coupling and Coordinated Development of Regional Tourism Industry and New-type Urbanization Using Entropy Method: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area
Authors: Kan Xinglong , Feng Minyan 
Published: November 2022

Abstract
The new development pattern of "dual circulation" raises interesting questions regarding new pathways of coordinated development between the tourism industry and urbanization. The Guangdong-Hong Kong-Macao Greater Bay Area (Greater Bay Area) is a connecting area of internal and external circulation of China’s economy, and accordingly, this paper selects the “9 + 2” urban agglomeration of the Greater Bay Area as the study area. Given the differences in statistical indexes and units among Guangdong, Hong Kong and Macao, this paper selects suitable indexes to establish an evaluation system for development of the tourism industry and new-type urbanization. The paper then calculates the comprehensive development level and coupling coordination degree of the tourism industry and new-type urbanization in the 11 cities of the Greater Bay Area from 2010 to 2019 using the entropy method and coupling coordination degree model. The results show that the comprehensive development levels of and coupling coordination degree between the tourism industry and new-type urbanization in the 11 cities exhibit evident grading. Ranking the high-quality development level from high to low, the 11 cities can be divided into three echelons: Guangzhou is the first echelon, Shenzhen and Hong Kong are the second echelon, and the other cities are the third echelon. All 11 cities exhibited a steady development trend in the period. Accordingly, this paper further puts forward countermeasures and suggestions to cope with the "dual circulation" strategy and continuously enhance the benign interaction between the development of the tourism industry and the process of urbanization.
A novel dimension reduction based method to detect network intrusions
Authors: Chang Jing-Rong , Nalluri Venkateswarlu , Chen Long-Sheng , Syu Jhih-Siang 
Published: November 2022

Abstract
There is a steep rise in the trend of the utility of internet technology nowadays. This tremendous increase ushered in a massive amount of data generated and personal information has been stored in the cloud. For apparent reasons, undivided attention could cause huge economic losses and cause serious security issues. Therefore, effective security solutions for detecting and combating cyber-attacks have become increasingly important. In addition, intrusion detection systems can be divided into several detection methods based on data type and analysis methods. However, no one method is absolutely effective in a variety of environments. For different types of cyber-attacks, various intrusion detection systems have been developed using artificial intelligence or machine learning techniques, but with the change in attack patterns, the intrusion detection performance of these systems needs to be greatly improved. In this study, the anomaly detection concept is used to propose a new local kernel-principal component analysis (LKPCA) method to improve classification performance. In addition, we are developing two multi-class learning strategies for binary classifiers to build multi-class classifiers. The analysis was duly conducted on the benchmark NSL-KDD and KDD datasets. The proposed method is validated using cross-validation and compared with existing feature extraction methods. This method outperformed over the existing intrusion detection methods used for the dataset.
Determinants of Acute Undernutrition among Pregnant Women attending Primary Healthcare Unit in Chinaksen District, Eastern Ethiopia: a case-control study
Authors: Adem Hassen Abdi , Usso Ahmedin Aliyi , Jarso Habtemu , Workicho Abdulhalik , Ahmed Fila 
Published: November 2022

Abstract
Background

Poor nutritional status of women during prenatal and pregnancy increases the risk of maternal mortality and neonatal birth outcome complication. It is important to identifying factors affecting maternal undernutrition during pregnancy and evidence answering major determinant factors was limited in Ethiopia. This study was assessed to determinants of acute undernutrition among pregnant women attending primary health care unit in Chinaksen district, eastern Ethiopia.

Method

a facility-based case-control study was conducted on 226 (113 cases and 113 controls) pregnant women attended primary healthcare units in Chinaksen district from February 01 to March 30, 2017. Data entered using EpiData 3.1 and analyzed using SPSS version 24. Bivariable and multivariable logistic regression analyses applied to identify determinant factors acute undernutrition. A p value < 0.05 was considered to be declare statistically significant.

Result

women living in large family size (AOR = 6.98, 95 CI: 2.82, 17.27), low minimum dietary diversity for women (AOR = 2.48, 95% CI: 1.20, 5.12), house hold food insecure (AOR = 3.06, 95% CI: 1.44, 6.51), not advised prenatal dietary diversity (AOR = 3.68, 95% CI: 1.67, 8.00), not participated on cooking food demonstration (AOR = 5.41, 95% CI: 2.39, 12.24), using substance (AOR = 3.65, 95% CI: 1.30, 10.23) and have not basic latrine (AOR = 2.91, 95% CI: 1.28, 6.58) were found to be statistically significant factor with acute undernutrition among pregnant women.

Conclusions

The study revealed main determinants of acute undernutrition among pregnant women. Large family size, low minimum dietary diversity, house hold food insecurity, not advised prenatal dietary diversity, not participation on cooking food demonstration, substance use and have not basic latrine were a basic determinant of acute undernutrition among pregnant women. Multi-sector approach is required to deal with acute undernutrition among pregnant women and improving minimum dietary diversity food and ensuring household food security is essential in improving maternal nutrition.
High quantum yield carbon quantum dots synthesized via three different routes for anti-counterfeiting inkjet inks application
Authors: Miavagh Faraz Mirlou , Rezvani-Moghaddam Amir , Roghani-Mamaqani Hossein 
Published: November 2022

Abstract
Fluorescent inks based on carbon quantum dots (CQDs) can be used in different applications, such as militaries for anti-counterfeiting messages, banks, money, worthy documents, and cheques. On the other hand, CQDs can be used for biological and imaging purposes like flow cytometry, DNA mutation, drug delivery, drug releasing, and bioimaging. In this study, CQDs were synthesized utilizing a one-step procedure using citric acid, ethylene diamine, and aniline in different ratios using different synthesis methods like hydrothermal, microwave, and simple heating. UV-Visible, Photoluminescence, Energy Dispersive Spectroscopy, Field Emission Scanning Electron Microscopes, Transmission electron microscopy, and water contact angle were carried out to investigate the synthesized carbon quantum dots. The best CQDs were selected as a functional dye to fabricate fluorescent ink and were printed on paper. By analyzing the visual effects of printed papers under UV light and daylight, it was shown that all printings were successfully done, and all samples had noticeable fluorescence emission. Water contact angle measurements were done on both printed area and unprinted paper for further investigations. The results showed that the contact angle decreased after printing on the paper, which was related to the penetration of ink into the substrate’s pores.
Computational Study of Field-Dependent Pinning Force for Pure MgB2 Superconductor
Authors: Ansari Intikhab A. , Rao C V 
Published: November 2022

Abstract
The logarithmic exponential regression model is proposed for the pure MgB2 superconductor in this study. The predicted values of normalized pinning force as a function of the reduced field are evaluated and compared to the measured values at a wide range of temperatures. The proposed model well described the best-suited model for the estimated predicted values. The predicted values of the reduced field dependence of normalized pinning force are in good agreement with the measured values for the pure MgB2 superconductor. Some statistical error estimations namely mean bias error, mean absolute bias error and root mean square error is calculated at different temperatures from 10−30K. The large value of the coefficient of regression, R2 confirms the effectiveness and significance of the proposed model. The proposed model is applicable in this study to find the accurate and precise values of the computational data.