bluuebunny/crossref_metadata_2025_split huggingface dataset:
CT angiography prior to TAVI procedure: can Artificial Intelligence improve reporting?
Authors: Boninsegna Enrico , Piffer Stefano , Simonini Emilio , Romano Michele , Lettieri Corrado , Colopi Stefano , Barai Giampietro 
Published: April 2023

Abstract
CT angiography prior to transcatheter aortic valve implantation (TAVI) procedure is the standard non-invasive imaging method for pre-procedural evaluation of aortic root dimensions and access sites. A detailed report is crucial to a proper planning. We assessed Artificial Intelligence (AI)-algorithm accuracy to measure vessels diameters at CT prior to TAVI. CT scans of 50 patients were included. Two Radiologists with experience in vascular imaging together manually assessed diameters at nine landmark positions according to the American Heart Association guidelines: 450 values were obtained. Measurements were compared with diameters obtained from AI algorithm. Measurements performed by the radiologists were never significantly different from the values obtained from the AI algorithm (p ≥ 0.249). The more the aortic landmark was distal to the heart, the more accurate was the automatic software analysis (maximum p-value at diaphragmatic aorta, 0.995). P-values were lower close to the heart, with a minimum at sinotubular junction (0.249). The time for automatic evaluation (average 1 min 47 sec) was significantly lower compared with manual measurements (5 min 41 sec) (p < 0.01). In conclusion, our results indicate that AI-algorithms can measure aortic diameters at CT prior to TAVI with high accuracy. AI-assisted reporting promises high efficiency, reduced inter-reader variabilities and time saving. In order to perform optimal procedure planning aortic root analysis could be improved, including annulus dimensions.
The molecular dynamics of core genes mount the relationship between groups of diazotrophs
Authors: Nichio Bruno Thiago de Lima , Pedrosa Fábio Oliveira , Raittz Roberto Tadeu 
Published: April 2023

Abstract
Background: Biological Nitrogen Fixation (BNF) occurs in diazotroph Archaea and Bacteria through the action of the Nitrogenase Enzymatic Complex (NEC) of nitrogenase-dependent molybdenum (Mo-nitrogenase) encoded by the nif genes. Due to several factors, for example, Horizontal Gene Transfer (HGT) and gene duplications, these genes are distributed in great diversity becoming complex to relate groups and to find in silico potential diazotrophs. Raymond et al. in 2004 and Dos Santos et al. in 2012 proposed the Mo-nitrogenase classification and established the minimum Nif set in NifH, NifD, NifK, NifE, NifN and NifB, respectively, directing the field in the classification and prediction of N2-fixing organisms. Here, we proposed to build potential groups of diazotrophs with the minimum cluster (core) of Mo-nitrogenase, evaluating whether the inheritance of Mo-nitrogenase is related to the acquisition, subtraction, or replacement of accessory nif and the impacts of these relationships on the maintenance of NEC.
Results: We obtained 662 diazotrophic genomes which 52 belong to potential diazotroph species within the nif core. We identified genomic duplication of nif core in Aulosira laxa NIES-50, Azoarcus sp KH32C, Calothrix brevissima NIES-22, Nostoc carneum NIES -2107, Tolypothrix tenuis PCC 7101 and Trichormus variabilis ATCC 29413 suggesting the existence of more than one nif cluster in these species probably related with the different acquisition of Mo-nitrogenase clusters. The SWeeP method applied to the vectorial projection of diazotrophic genomes was crucial to make possible the classification of these 662 genomes into 10 consistent groups.
Conclusions: We suggest the classification of Mo-nitrogenase in a context more involved with molecular dynamics in relation to the proposal in Raymond et al. This fact is reinforced because we observed a significant relationship between the groups obtained with molecular composition of nif genes, such as in Azoarcus spp, Azospira spp., gram-positive and some cyanobacteria species. We hope the findings are helpful to understand the molecular BNF evolution.
Presence of microplastic in target species of small scale fisheries and possible social implications on the local communities
Authors: Rivera-Garibay Omar , López María Elena Méndez , Torres-Irineo Edgar , Rivas Miguel , Santillo David , Alvarez-Filip Lorenzo 
Published: April 2023

Abstract
Microplastic ingestion by marine fishes has been of particular interest, as many species are the target of commercial fisheries and, thus, have a strong connection with human health. Consumption of microplastic thru seafood is likely to have harmful effects on people globally but mainly on social groups that highly depend on fisheries for self-consumption. Here we first aim to characterize the presence of microplastics in species targeted by small-scale fishers; and explore if the fish consumption of microplastic particles is associated with biological factors, second, we applied semi-structured interviews to small-scale fishers to approach, from a socio-environmental perspective, the potential social and environmental impacts of contamination by microplastics on the local communities. We found that important commercial fish families were polluted, and the consumption of microplastics by fish caught trough traditional fishing gear depends on traits such as species mobility. Species with a wide home range had a higher load of MPs than fish with a small home range but also seemed to be related to the fishing method. The observed differences in microplastic content on target species are likely to be transferred to the human dimension in a non-random fashion. This work implies that microplastic pollution in commercial fish might represent an environmental and social issue that is not well-conceived by the fishers mainly but also for multiple actors that make use of marine resources.
Digital transformation of the promotion of educational services of Kazakhstani universities
Authors: Zarubina Venera , ZARUBIN Mikhail , YESSENKULOVA Zhaukhar , SALIMBAYEVA Rassima , SATBAEVA Gulbarshyn 
Published: April 2023

Abstract
Digital promotion channels have become modern priority channels for promoting educational services. Integration into the international educational space, a change in the priority of communication channels, digital transformation lead to the need to rethink the digital promotion of educational services of Kazakhstani universities. Particular interest in the promotion of educational services is due to the fact that now representatives of generation Z are becoming consumers of educational services.
The basis of the study was digital promotion channels as the main source of information and value, the needs of generation Z, who become consumers of university services, including Kazakhstani ones. The purpose of the study is to identify growth points, build a model for promoting educational services of Kazakhstani universities based on a comparative analysis of the websites of the leading national universities of the Republic of Kazakhstan, as well as the leading world leader - the US University.
Similarweb.com, pagespeed.web.dev, wordstat.yandex.ru, sitechecker.pro resources were used as tools for analysis. A correlation analysis of requests to university websites and the main values of generation Z was carried out. The tightness of the pairwise correlation between the total number of visits and site performance, search engine optimization, recommendations, accessibility was determined.
On the basis of the study, a model for promoting the educational services of the university was structured, highlighting the key components - educational programs, digital technologies, generation Z values.
Examining the factors influencing entrepreneurial intention to initiate new ventures: Focusing on knowledge of entrepreneurial skills, ability to take risk and entrepreneurial innovativeness in open innovation business model
Authors: Martins José Moleiro , Shahzad Muhammad Farrukh , Xu Shuo 
Published: April 2023

Abstract
As worldwide unemployment is an extensive problem by the increasing population every day but opportunities for jobs didn’t increase with the similar ratio. Unemployment is increasing, affecting developing countries’ economies like Pakistan. This attempt to solve this problem is commonly acknowledged by creating new opportunities and starting new business ventures. Considering this aspect, this study purposes to inspect the aspects that create and effect entrepreneurial intention in young entrepreneurs to start entrepreneurial projects. This study explores the effect of self-efficacy, family support, institutional support and peer support towards entrepreneurial intention. These factors are expected to create entrepreneurial intention in young graduates to start their business ventures. All these factors and the mediating role of knowledge of entrepreneurial skills, ability to take risk, and entrepreneurial innovativeness motivate young entrepreneurs to take startups. For results, a survey method with a questionnaire has been utilized for the gathering of data. The collected data were evaluated through descriptive and inferential statistics. SPSS and SMART-PLS 3.3 were used for the analysis of results. 716 respondents participated in the data collection process. Data has been gathered from the master's students who registered in business sector top universities in Pakistan. The results of this study showed that self-efficacy, peers support, institutional support and family support have a positive impact on entrepreneurial intention. Additionally, knowledge of entrepreneurial skills, the ability to take risks, and entrepreneurial innovativeness also significantly affect entrepreneurial intention. In this study, all these results have been discussed. This study also discusses various theoretical and practical factors with substantial policy-making significance.
Spatial analysis to evaluate the effects of soil sand content on the progress of the invasive process of G. triacanthos in riparian forests
Authors: Sosa Beatriz , Romero David , Guerrero José , Rodriguez Federico , Achkar Marcel 
Published: April 2023

Abstract
Riparian systems are highly threatened by alterations in its hydrological regimen and biological invasions. To guide its conservation is important to understand the relationships established between biological invasions and abiotic conditions affected by the hydrological regimen. We analyze the relationship between the distribution pattern of soil sand content and the invasive process of the woody invasive Gleditsia triacanthos in riparian forests of the Esteros de Farrapos and Islands of Uruguay River National Park, zoning the study area according to the type of relationship between both variables. We integrate the use of regression trees and geographic information systems to zone this relationship. This is a novel approach to study the relationships between an invasive species and its environment. Areas with lower sand content were found to be favorable for the development of the invasive species, and areas with higher sand content were found to limit its spread. No relationship was found between the intermediate sand content and the progress of the invasive process. This work highlights the complexity inherent to the definition of causal relationships in highly heterogeneous systems such as riparian ecosystems. Spatial analysis techniques are a useful tool for this approach.
The SFLQ revisited: Estimating Regional Input-Output Tables for South Korean Regions
Authors: Tohmo Timo 
Published: April 2023

Abstract
The present study employs survey-based data on 16 regions in South Korean to analyse the industry-specific Flegg location quotient (SFLQ) formula as a tool for estimating regional input-output tables. Our paper contributes to the work of Kowalewski (2015), who proposed an interesting variant of the Flegg location quotient (FLQ) by letting the value of δ in the FLQ vary between sectors (sector-specific δ). The main aim of our study is to analyse Kowalewski’s SFLQ formula to produce regional input-output tables for South Korea and to test the extent of the accuracy of the estimates it can produce. We estimate Kowalewski’s regression model for all Korean regions, which has not been previously performed. Consequently, we compare the regionalized SFLQ estimates to survey-based regional input-output tables and test the accuracy of the estimations with different statistics.
Specific gut microbiome signature predicts hepatitis B virus-related hepatocellular carcinoma patients with microvascular invasion
Authors: Peng Yu-Chong , Peng Yu-Chong , Xu Jing-Xuan , Xu Jing-Xuan , You Xue-Mei , You Xue-Mei , Huang Yi-Yue , Huang Yi-Yue , Li Le-Qun , Qi Lu-Nan , Li Le-Qun 
Published: April 2023

Abstract
Background Microvascular Invasion (MVI) is an important factor that affects the prognosis of patients with operable hepatocellular carcinoma. We aimed to evaluate the differences in intestinal microflora between MVI and non-MVI patients with operable hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) and investigate the potential of the microbiome as a non-invasive biomarker for patients with MVI.Methods The preoperative relationship between the gut microbiomes (GM) of the two groups(MVI Group (n = 46) and non-MVI Group (n = 56)) was assessed using 16S ribosomal RNA gene sequencing data. PICRUST2 was used to analyze the metagenomic data in MVI and non-MVI patients. based on operational taxonomic units (OTUs) level, we predict MVI risk using random forest (RF)models, and validate in independent validation cohorts (MVI Group (n = 17) and non-MVI Group (n = 15)).Result β diversity analysis revealed a significant difference between the MVI group and non-MVI group in weighted UniFrac distances using Non-metric multidimensional scaling (stress = 0.105)and Principal Coordinates Analysis ( AMOVA test (p = 0.003)). At the genus level, eight bacterial genera (Prevotella_9, Bacteroides, Subdoligranulum, Fusobacterium, Dialister, Megasphaera, Veillonella, Coprobacter) were significantly enriched in MVI Group, whereas ten genera (Blautia, Faecalibacterium, Agathobacter, Ruminococcus, Erysipelotrichaceae_UCG-003, Anaerostipes, [Eubacterium]_hallii_group, Fusicatenibacter, Dorea, Peptoniphilus) were significantly enriched in non-MVI Group. The highly abundant genera participated in numerous amino acid metabolism pathways, pyrimidine and purine metabolism pathways, tetrahydrofolate metabolism pathways, fatty acid related metabolic pathway, glycogen degradation pathway, rhamnose, galactose, peptidoglycan metabolism pathways and lactate relative pathway. A significant correlation was observed between the characteristic intestinal microbial community and its main functions. Nine optimal microbial markers were determined, with an area under the curve of 79.76% between 46 MVI and 56 non-MVI samples and 79.80% in the independent verification group.Conclusion The characteristics of the intestinal microflora of patients with and non-MVI were analyzed for the first time, which may eventually help open up a new approach for the treatment of HBV-HCC with MVI. The successful establishment of a diagnostic model and independent verification of microbial markers in patients with MVI was reported. GM as a preoperative targeted biomarkers may be potential non-invasive tools for patients with HBV-HCC with MVI.
Contribution of budesonide nebulization in bronchoscopy
Authors: Zhang Guoxin , Pei Xiang , Zhang Li , Yu Shuyu , Zhao Xiaoyun 
Published: April 2023

Abstract
Background To investigate the efficacy and safety of budesonide nebulization for pre-examination preparation of bronchoscopy under topical anesthesia.Methods Patients with airway topical anesthesia by bronchoscopy were randomly divided into observation group and control group. Observation group was administrated with nebulization of budesonide combined with lidocaine whereas patients in control group were treated with lidocaine into same volume of sterile water. Visual analogue scale (VAS) and Wong-Baker FACES Pain Rating Scale (FPS-R) were utilized to assess cough, degree of pain, willingness to accept reinspection, and the satisfactions of operator towards patient cooperation. Additionally, the duration of examination, lidocaine consumption, and type of examination were recorded throughout our study.Results Compared with the controls, observation group showed a lower maximum systolic blood pressure and diastolic blood pressure together with extent of cough and pain whereas higher minimum transcutaneous oxygen saturation and satisfaction to the cooperation. Also, the observation group consumed shorter operation time, less lidocaine dosage, with less budesonide-related adverse reactions. Notably, there was no statistically significance in general condition, willingness to reinspection, type of operation, and diagnostic condition between two groups.Conclusion Taken aforementioned results together, topical anesthesia combined with budesonide suggests to be more optimal for airway preparation before bronchoscopy.Trial registration The trial was registered at Chinese Clinical Trial Registry No ChiCTR2300069170
Single-cell RNA-seq data reveals a critical role of pro-inflammatory macrophage and fibroblast cells in bone marrow environment after bone fracture
Authors: Zhou Min , Jian Chao , Xu Xin , Zhang Hao , Qi Bw 
Published: April 2023

Abstract
Single-cell RNA sequencing ("scRNA-Seq") examines the cell population at the single-cell level. The single cell changes in the osteoimmunological microenvironment in fresh and old fractures have not been studied. We used single cell transcriptomics in this study to uncover differences in the molecular composition and cellular signaling in bone tissue from fresh and old fractures.We first searched for and downloaded single-cell omics data from the GEO database, which included both fresh and old fracture samples from patients. After applying UMI detection, reducing the dimensions, and conducting principal component analysis, we visualized the data with tSNE and UMAP and identified the marker genes of the cell subsets. The differences of the differentially expressed genes and the signalling pathways of the cell-cell interaction between the two groups of samples were compared by means of Findmarkers and cellchat.The microenvironment in fracture tissue was analysed using a cell characterisation map, resulting in the identification of 18 distinct cell subsets, comprising of macrophages, fibroblasts, B cells, T cells, neutrophils and plasma cells. In comparison to fresh fractures, there was a significant increase in the number of macrophages in the old fracture samples. The number of fibroblasts was not significantly changed. The results of differential expression gene analysis showed that fibroblasts in old fractures were mainly enriched in immune, inflammatory and neutrophil degranulation reactions. TXNIP expression was significantly upregulated. Macrophages were mainly enriched in inflammatory response, immune response, antigen presentation response and cell migration signalling pathways. Among them, AREG was significantly upregulated in old fractures. In old fractures, the interaction between macrophages and other cells was significantly increased. Macrophages regulate other cells mainly through the ANXA1-FRP1 signalling pathway, thereby influencing the formation of callus and the healing of the fracture. Our findings uncovered that fibroblasts regulate inflammation and immune response via the TXNIP pathway. Macrophages influence fracture healing by changing their population and interacting with other cells via the ANXA1-FRP1 pathway.
Change in epitope sites of Mumps orthorubulavirus resources of the National Culture Collection for Pathogens in Korea
Authors: Kim Seung Tae , Yun Mi-Ran , Choi Young Sill , Cheong Hyang-Min 
Published: April 2023

Abstract
With the introduction of the measles, mumps, and rubella (MMR) vaccine, the global incidence of mumps has been effectively reduced since the late 1990s. In the last decade, however, mumps incidence has increased in the population of late teens to early 20s, and as a result, studies have been analyzing the cause and developing solutions. To provide the data source for such studies, the gene and amino acid sequence data were compared for the vaccine strain and five recently isolated Korean strains of Mumps orthorubulavirus (MUV) from the available strains at the National Culture Collection for Pathogens (NCCP), a pathogen bank in South Korea. The whole genome sequence (WGS) data on the five Korean MUV strains at the NCCP were built using next generation sequencing (NGS) analysis. In the phylogenetic analysis, genotypes H and I were identified by RAxML with multiple sequence alignment (MSA) using the MAFFT program. The sequences of F and HN proteins, the key antigenic sites of the five strains of NCCP MUV, were translated using the EMBOSS package and compared with the sequences of the same proteins of the vaccine strain (Genotype A, Jeryl_Lynn strain; AF338106). Multiple mutations at the B cell epitope, T cell epitope, and glycosylation sites were evident. The HN protein epitope site displayed eight mutations (N121S, R122SN, N123, L336S, E356D, Y442S, I287V, and H464N) shared across all NCCP MUVs. This research is anticipated to contribute to studies to enhance the vaccine strain and develop antiviral agents.
Numerical evaluation of cutting strategies for thin-walled parts
Authors: Lassila Andreas Andersson , Svensson Daniel , Wang Wei , Andersson Tobias 
Published: April 2023

Abstract
Static form errors due to in-process deflections is a major concern in flank milling of thin-walled parts. To increase both productivity and part geometric accuracy, there is a need to predict and control these form errors. In this work, a modelling framework for prediction of the cutting force-induced form errors, or thickness errors, during flank milling of a thin-walled workpiece is proposed. The modelled workpiece geometry is continuously updated to account for material removal and the reduced stiffness matrix is calculated for nodes in the engagement zone. The proposed modelling framework is able to predict the resulting thickness errors for a thin-walled plate which is cut on both sides. Several cutting strategies and cut patterns using constant z-level finishing are studied. The modelling framework is used to investigate the effect of different cut patterns, machining allowance, cutting tools and cutting parameters on the resulting thickness errors. The framework is experimentally validated for various cutting sequences and cutting parameters. The predicted thickness errors closely correspond to the experimental results. It is shown from numerical evaluations that the selection of an appropriate cut pattern is crucial in order to reduce the thickness error. Furthermore, it is shown that an increased machining allowance gives a decreased thickness error for thin-walled plates.