bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multimodal Magnetic Resonance and Fluorescence Imaging of the Induced Pluripotent Stem Cell Transplantation in the Brain
Authors: Zhang yunchao , Wang Jingwen , Wu Yue , Tao Qing , Wang Feifei , Wang Nana , Gi Xingrui , Li Yonggang , Yu Shuang , Zhang Jingzhong 
Published: August 2021

Abstract
BackgroundThe understanding of the engrafted cell behaviors such as the survival, growth and distribution is the prerequisite to optimize cell therapy, and a multimodal imaging at both anatomical and molecular levels is designed to achieve this goal. Methods and results We constructed a lentiviral vector carrying ferritin heavy chain 1 (FTH1), near-infrared fluorescent protein (iRFP) and enhanced green fluorescent protein (EGFP) via T2A linker, and established the induced pluripotent stem cells (iPSCs) culture stably expressing these three reporter genes. These iPSCs showed green and near-infrared fluorescence as well as the iron uptake capacity in vitro. After transplanted the labeled iPSCs into the rat brain, the engrafted cells could be in vivo imaged using magnetic resonance imaging (MRI) and near-infrared fluorescent imaging (NIF) up to 60 days at the anatomical level, moreover, these cells could be detected using EGFP immunostaining and Prussian blue stain at the cellular level. Conclusions Our study provides a novel tool to study the cellular behaviors of the transplanted cells in a multimodal way, which will be valuable for the effectiveness and safety evaluation of cell therapy.
Neutrosophic N-structures on Sheffer stroke BE-algebras
Authors: Oner Tahsin , Katican Tugce , Svanidze Salviya , Rezaei Akbar 
Published: August 2021

Abstract
In this study, a neutrosophic N-subalgebra, a (implicative) neutrosophic N-filter, level sets of these neutrosophic N-structures and their properties are introduced on a Sheffer stroke BE-algebras (briefly, SBE-algebras). It is proved that the level set of neutrosophic N-subalgebras ((implicative) neutrosophic N-filter) of this algebra is the SBE-subalgebra ((implicative) SBE-filter) and vice versa. Then it is proved that the family of all neutrosophic N-subalgebras of a SBE-algebra forms a complete distributive modular lattice. We present relationships between upper sets and neutrosophic N-filters of this algebra. Also, it is given that every neutrosophic N-filter of a SBE-algebra is its neutrosophic N-subalgebra but the inverse is generally not true. It is demonstrated that a neutrosophic N-structure on a SBE-algebra defi ned by a (implicative) neutrosophic N-filter of another SBE-algebra and a surjective SBE-homomorphism is a (implicative) neutrosophic N-filter. We present relationships between a neutrosophic N-filter and an implicative neutrosophic N-filter of a SBE-algebra in detail. Finally, certain subsets of a SBE-algebra are determined by means of N-functions and some properties are examined.
Computational modelling of Chromosomally Clustering Protein Domains In Bacteria
Authors: Cotroneo Chiara E. , Gormley Isobel Claire , Shields Denis C. , Salter-Townshend Michael 
Published: August 2021

Abstract
Background: In bacteria, genes with related functions - such as those involved in the metabolism of the same compound or in infection processes - are often physically close on the genome and form groups called clusters. The enrichment of such clusters over various distantly related bacteria can be used to predict the roles of genes of unknown function that cluster with characterised genes. There is no obvious rule to define a cluster, given their variability in size and intergenic distances, and the definition of what comprises a “gene”, since genes can gain and lose domains over time. Protein domains can cluster within a gene, or in adjacent genes of related function, and in both cases these are chromosomally clustered. Here, we model the distances between pairs of protein domain coding regions across a wide range of bacteria and archaea via a probabilistic two component mixture model, without imposing arbitrary thresholds in terms of gene numbers or distances. Results: We trained our model using matched Gene Ontology terms to label functionally related pairs and assess the stability of the parameters of the model across 14, 178 archaeal and bacterial strains. We found that the parameters of our mixture model are remarkably stable across bacteria and archaea, except for endosymbionts and obligate intracellular pathogens. Obligate pathogens have smaller genomes, and although they vary, on average do not show noticeably different clustering distances; the main difference in the parameter estimates is that a far greater proportion of the genes sharing ontology terms are clustered. This may reflect that these genomes are enriched for complexes encoded by clustered core housekeeping genes, as a proportion of the total genes. Given the overall stability of the parameter estimates, we then used the mean parameter estimates across the entire dataset to investigate which gene ontology terms are most frequently associated with clustered genes. Conclusions: Given the stability of the mixture model across species, it may be used to predict bacterial gene clusters that are shared across multiple species, in addition to giving insights into the evolutionary pressures on the chromosomal locations of genes in different species.
Stem Cell, Fibrin Glue, and Normal Saline on Partially Torn Tendons: A Randomized Controlled Trial
Authors: Chun Se-Woong , Kim Won , Lee Sang Yoon , Lim Chai-Young , Kim Keewon , Kim Jeong-Gil , Park Chul-Hyun , Hong Sung Hwan , Yoo Hye Jin , Chung Sun G. 
Published: August 2021

Abstract
Background: Tendons have limited reparative ability and perform a relatively simple mechanical function via the extracellular matrix. Thus, the injured tendon might successfully treated by stem cell transplantation. We performed a randomized, controlled study to investigate the effects of mesenchymal stem cell injection for treating partial tears in the supraspinatus tendon.Methods: We enrolled 24 patients with shoulder pain lasting more than 3 months and partial tears in the supraspinatus tendon. Participants were assigned to three groups: stem cells in fibrin glue, normal saline/fibrin glue mixture, and normal saline only, with which intra-lesional injection was performed. Pain at activity and rest, shoulder function and tear size were evaluated. For safety measures, laboratory tests were taken and adverse events were recorded at every visit. Participants were followed up at 6, 12 weeks, 6, 12 months and 2 years after injection. The primary outcome measure was the improvement in pain at activity at 3 months after injection. Results: Twenty-three patients were included in the final analysis. Primary outcome did not differ among groups (p = 0.35). A mixed effect model revealed no statistically significant interactions. Only time significantly predicted the outcome measure. All participants reported transient pain at the injection site. There were no differences in post-injection pain duration or severity. Safety measures did not differ between groups, and there were no persistent adverse events.Conclusions: Stem cell injection into supraspinatus partial tears in patients with shoulder pain lasting more than 3 months was not more effective than control injections. (ClinicalTrials.gov Identifier: NCT02298023)
Optimization of LoRaWAN Access control
Authors: Tounsi Hajer , Benkahla Norhane , Song Ye-Qiong , Frikha Mounir 
Published: August 2021

Abstract
Long Range Wide Area Network (LoRaWAN) enables flexible long-range communication with low power consumption which is suitable for IoT applications. LoRaWAN’s performance is due on the one hand to its spreading factor modulation allowing the spread out of communication between end-devices and gateways on different frequency channels and data rates. And on the other hand, to the ability to manage for each node its data rate and its transmission power thanks to the adaptive data rate (ADR) scheme in order to increase the overall network capacity and to maximize the battery life of end devices. However, because of the Aloha access technique adopted by LoRaWAN, the risk of using the same data rate on the same channel is not negligible. Despite the limitation of the duty cycle for each node, the risk of collision is high with the increase of the number of end devices which degrades the LoRaWAN’s performance. In this context, our paper proposes different approaches to improve the performance of LoRaWAN. The first contribution consists in improving the ADR technique to meet the characteristics of a mobile environment. The new mechanism proposed, called VHMM-based E-ADR, consists of adapting the data rate of the end-device according to its position. The second contribution consists in better managing the use of the duty cycle by proposing a dynamic sharing mechanism (Dynamic Duty-Cycle). The last contribution consists in proposing a deterministic access technique to replace Aloha. Our experimental study has shown that our proposals give better results in terms
of Packet Delivery Ratio (PDR) and energy consumption than basic LoRaWAN in a mobile environment.
Sheffer Stroke Nelson Algebras
Authors: Oner Tahsin , Katican Tugce , Saeid Arsham Borumand 
Published: August 2021

Abstract
In this study, Sheffer stroke Nelson algebras (briefly, s-Nelson algebras), (ultra) ideals, quasi-subalgebras and quotient sets on these algebraic structures are introduced. The relationships between s-Nelson and Nelson algebras are analyzed. Also, it is shown that a s-Nelson algbera is a bounded distributive modular lattice, and the family of all ideals forms a complete distributive modular lattice. A congruence relation on s-Nelson algebra is determined by its ideal and quotient s-Nelson algebras are constructed by this congruence relation. Finally, it is indicated that a quotient s-Nelson algebra defined by the ultra ideal is totally ordered and that the cardinality of the quotient is less than or equals to 2.
Conductive, Superhydrophobic, and Microwave-Absorbing Cotton Fabric by Dip-Coating of Aqueous Silk Nanofibers Stabilized MWCNTs and Octadecanoyl Chain Bonding
Authors: Liu Ling , Wu Mingyuan , Wu Qingyun , Liu Jiuyi , Yang Jianjun , Zhang Jianan 
Published: August 2021

Abstract
A facile dip-coating method to endow cotton fabric (CF) with satisfactory conductivity, superhydrophobicity and microwave absorption performance was proposed based on the combination of multi-walled carbon nanotubes (MWCNTs) incorporation and hydrophobic octadecanoyl chain bonding. The entanglement and bundling of MWCNTs induced by the particularly high aspect ratio and high interaction energy renders homogeneous dispersion of MWCNTs a challenging. The durable coating adhesion of MWCNTs on hydrophilic CF remains the other challenge due to the absence of strong interactions with intrinsic hydrophobic MWCNTs. In this work, silk nanofibers (SNFs) were synthesized by degrading silk at high temperature, which was adopted as dispersant to prepare individually dispersed MWCNTs via ultrasonication and homogenization processes. The coating adhesion of MWCNTs to CF (MWCNTs-CF) was enhanced via dipping coating and thermal treatment induced chemical immobilization cycles. Octadecanoyl chain-tethered MWCNTs-CF (C18-MWCNTs-CF) was manufactured by further treatment with stearoyl chloride to achieve superhydrophobicity. The scanning and transmission electron microscopy micrographs demonstrated that the aggregates of MWCNTs were successfully de-bundled into individually dispersed nanotubes by taking advantages of the high π-π interaction and electrostatic repulsive interactions between MWCNTs and SNFs. SNFs has the superiority of chemical bonding with CF at high temperature and providing active sites for subsequent hydrophobic treatment. The electrical conductivity, surface properties, thermal stability, mechanical properties, and microwave absorption performance of the CF samples were evaluated systematically. Compared with pristine CF (1.04🞩1010 Ω), the C18-MWCNTs-CF exhibited excellent conductive property with surface resistance reaching 55 Ω when the loaded MWCNTs on CF were 247.5 mg/g in the case of 3 dipping-drying cycles and possessed a relatively greater microwave absorption performance of -36.08 dB at 9.28 GHz with merely 2.7 mm thickness. Compared with pristine CF, C18-MWCNTs-CF exhibited superhydrophobicity with the WCA increasing from 26° to 150° even after 20 scratching cycles due to the combination of facile octadecanoyl group tethering and the increased surface roughness. The biodegradable and recyclable C18-MWCNTs-CF exhibited reasonable electrical conductivity, superhydrophobicity and microwave absorption that promises an ideal application prospect in the field of smart textile and wearable electronic devices.
DNAJC10 Correlates with Tumor Immune Characteristics and Predicts the Prognosis of Glioma Patients
Authors: Liu Feng , Tu Zewei , Liu Junzhe , Long Xiaoyan , Xiao Bing , Fang Hua , Huang Kai , Zhu Xingen 
Published: August 2021

Abstract
Background: A role of DNAJC10 has been reported in several cancers, but its function in glioma is not clear. The purpose of this study was to investigate the prognostic role and the underlying functions of DNAJC10 in glioma.Methods: Reverse transcription and quantitative polymerase chain reaction and western blotting were performed to quantify the relative DNAJC10 mRNA and protein expressions of clinical samples. Wilcoxon rank sum tests were used to compare DNAJC10 expression between or among glioma subgroups with different clinicopathological features. The overall survival (OS) rates of glioma patients with different DNAJC10 expression were compared with the Kaplan-Meier method (two-sided log-rank test). The prognosis-predictive accuracy of the DNAJC10 was evaluated by time-dependent receiver operating characteristic (ROC) curves. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes annotations were conducted using the “clusterProfiler” package. Single-sample gene set enrichment analysis was used to estimate immune cell infiltrations and immune-related function levels. The independent prognostic role of DNAJC10 was determined by univariate and multivariate Cox regression analyses. A DNAJC10-based nomogram model was established using multivariate Cox regression in the R package “rms.” Results: Higher DNAJC10 expression was observed in gliomas. It was upregulated in tumors with higher World Health Organization grade, isocitrate dehydrogenase wild-type status, 1p/19q non-co-deletion, and methylguanine-DNA methyltransferase unmethylated gliomas. Patients with gliomas with higher DNAJC10 expression had poorer prognoses than those with low-DNAJC10 gliomas. The predictive accuracy of 1/3/5-year OS of DNAJC10 was stable and robust using a time-dependent ROC model. Functional enrichment analysis recognized that T cell activation and T cell receptor signaling were enriched in higher DNAJC10 gliomas. Immune cell and stromal cell infiltrations, tumor mutation burden, copy number alteration burden, and immune checkpoint genes were also positively correlated with glioma DNAJC10 expression. A DNAJ10-based nomogram model was established and showed strong prognosis-predictive ability.Conclusion: Higher DNAJC10 expression correlates with poor prognosis of patients with glioma and is a potential and useful prognostic biomarker.
Amelioration of C - Reactive Protein and Lectin Like Oxidised Low Density Lipoprotein Receptor Complex Induced Endothelial Dysfunction by Oligomeric Proanthocyanidins.
Authors: Jamuna Sankar , Ashokkumar Rathinavel , Sivasithamparam Niranjali Devaraj 
Published: August 2021

Abstract
C-reactive protein (CRP) is a well established biochemical marker for atherosclerosis. Inflammation induced by CRP promotes endothelial dysfunction. Modification of LDL inside the artery wall favors the elevation of this acute phase protein. The mechanism of OxLDL+CRP complex is unrevealed so far. Hence, this mechanism was considered as the important factor to trigger the monocyte to macrophages differentiation which in leads to foam cells formation. Hence this key event should be targeted and focused on how this complex (OxLDL+CRP) proceeds to endothelial dysfunction. OPC is a well known cardioprotective flavon-3-ols. The present study is challenged between the protective roles of OPC against the deleterious effect of this complex (OxLDL+CRP) on endothelial cells. Monolayer of Endothelial cells were incubated with THP-1 monocytes for 48 h supplemented with OxLDL (10mg/ml) + CRP (10 mg/ml) complex and treated with OPC (100mg/ml). Morphological changes, cell migration assay and capillary tube forming assay was carried out. Myeleoperoxidase levels were estimated to determine the adhesion of monocytes onto EC monolayer. RT-PCR analysis of L-Selectin was done. The quantification of NO levels and analysis of mRNA expressions of eNOS is to determine the nitric oxide demand caused due to OxLDL+CRP complex. LOX-1, scavenger receptor levels were analysed by mRNA expression. Proinflammatory markers such as IL-6, MCP-1 and IL-1b were studied. Accumulation of ROS levels were measured fluorimetrically using DCF-DA. Spectrophotometric analysis of Sirius red dye binding collagen levels was observed. Mitochondrial membrane potential was determined by JC-1 dye and cell cycle analysis was done by FACS analysis. Protein –Protein docking was carried out between CRP and LOX-1. This docked protein complex were again docked with OPC and atrovastatin to show the inhibitory mechanism of CRP binding with LOX-1. OPC showed a promising inhibitory mechanism against OxLDL+CRP complex. To emphasis the results OPC treated group showed decreased levels of proinflammatory markers, LOX-1 and L-Selectin levels. Endothelial nitric oxide levels were increased upon OPC treatment and reduction in the ROS levels. Endothelial cells apoptosis was prevented by OPC. Docking studies showed that in the absence of ligands (OPC) binding of CRP and LOX-1 was greater and vice versa in the presence of ligands. To conclude, OxLDL + CRP complex inhibitory effects of OPC could maintain the normal homeostasis.
The Psychological Effect of COVID-19 Epidemic on University Teachers in China
Authors: Fu Wenning , Yan Shijiao , Zou Li , Zong Qiao , Song Xingyue , Zhou Ning , Wen Jing , Han Xiaotong , Liu Yifang , Lv Chuanzhu 
Published: August 2021

Abstract
Objectives：To assess the mental status of Chinese teachers during the COVID-19 epidemic, and to provide theoretical evidences for psychological intervention. Methods：From October 23, 2020 to December 12, 2020, we conducted the online survey. Generalized Anxiety Disorder 7-item Scale (GAD-7) was used to assess anxiety symptoms. Classified and continuous data were reported as numbers, percentages, and Mean ± SD, respectively. Multivariate Logistic regression model was used to analyze the relationship between different factors and anxiety symptoms. Results：A total of 10302 university teachers participated in this study, 4416 of them (40.0%) showed anxiety symptoms. Female gender (OR=1.207) and the age of ≥60 years old (OR=2.004) were associated with anxiety. Being married (OR=1.319) was the risk factor for anxiety; being neutral (OR=1.292), or not-support on returning school (OR=1.620) was common risk factors for anxiety. Conclusions：About two-fifths of Chinese university teachers reported anxiety symptoms during the COVID-19 epidemic. The government should pay more attention to the mental health of teachers, take timely and appropriate psychological intervention measures, improve the psychological adjustment ability of teachers, and reduce the psychological harm of COVID-19 epidemic to teachers.
Primary Peripheral Epstein-Barr Virus Infection Can Lead to CNS Infection and Neuroinflammation in a Rabbit Model: Implications for Multiple Sclerosis Pathogenesis
Authors: Hassani Asma , Reguraman Narendran , Shehab Safa , Khan Gulfaraz 
Published: August 2021

Abstract
Background: Epstein-Barr virus (EBV) is a common herpesvirus associated with malignant and non-malignant conditions. An accumulating body of evidence supports a role for EBV in the pathogenesis of multiple sclerosis (MS), a demyelinative disease of the CNS. However, little is known about the details of the link between EBV and MS. One obstacle which has hindered research in this area has been the lack of a suitable animal model recapitulating natural infection in humans. We have recently shown that healthy rabbits are susceptible to EBV infection, and viral persistence in these animals mimics latent infection in humans. Methods: We used the rabbit model to investigate if peripheral EBV infection can lead to infection of the CNS and its potential consequences. We injected EBV intravenously in one group of animals, and PBS in another, with and without immunosuppression. Histopathological changes and viral dynamics were examined in peripheral blood, spleen, brain, and spinal cord, using a range of molecular and histopathology techniques. Results: Our investigations uncovered important findings that could not be previously addressed. We showed that primary peripheral EBV infection can lead to the virus traversing the CNS. Cell associated, but not free virus in the plasma, correlated with CNS infection. The infected cells within the brain were found to be B-lymphocytes. Most notably, animals injected with EBV, but not PBS, developed inflammatory cellular aggregates in the CNS. The incidence of these aggregates increased in the immunosuppressed animals. The cellular aggregates contained compact clusters of macrophages surrounded by reactive astrocytes and dispersed B and T lymphocytes, but not myelinated nerve fibers. Moreover, studying EBV infection over a span of 28 days, revealed that the peak point for viral load in the periphery and CNS coincides with increased occurrence of cellular aggregates in the brain. Finally, peripheral EBV infection triggered temporal changes in the expression of latent viral transcripts and cytokines in the brain. Conclusion: The present study provides the first direct in vivo evidence for the role of peripheral EBV infection in CNS pathology, and highlights a unique model to dissect viral mechanisms contributing to the development of MS.