bluuebunny/crossref_metadata_2025_split huggingface dataset:
Small Extracellular Vesicles Derived From Human Ipsc-Derived MSC Ameliorate Tendinopathy-Related Acute Pain Through Inhibiting Mast Cells Activation
Authors: Gao Renzhi , Ye Teng , Zhu Zhaochen , Li Qing , Zhang Juntao , Yuan Ji , Zhao Bizeng , Xie Zongping , Wang Yang 
Published: December 2021

Abstract
Background: Acute pain is the primary symptom of tendinopathy, and mast cells activation is a nonnegligible cause. Currently, safe and effective treatment for acute pain in tendinopathy is still lacking. This study was aimed to explore the analgesic effect of iPSC-derived mesenchymal stem cell-derived small extracellular vesicles (iMSC-sEVs) on acute pain and further investigate the underlying mechanisms in tendinopathy. Methods: A rat tendinopathy model was established and then treated with iMSC-sEVs or PBS for 4 weeks. The pathology of tendinopathy was accessed by H&E staining and immunohistochemical analysis 2 and 4 weeks after treatment. Then we measured pain-related behaviors 4 weeks after treatment. Double immunofluorescent staining on tendon sections for tryptase and PGP9.5 was conducted to assess whether iMSC-sEVs inhibit mast cells activation in tendinopathy. To further investigate the potential mechanism, RBL-2H3 cells were stimulated with substance P to mimic tendinopathy condition in vitro. The effect of iMSC-sEVs on inhibiting mast cells activation was measured by b-Hexosaminidase release assay, RT-qPCR, Toluidine blue staining and ELISA. RNA-seq was performed to analyze the related global changes and discover the underlying mechanism. Results: iMSC-sEVs effectively reduced inflammation, thereby alleviating acute pain in tendinopathy as reflected by histological analysis and pain-related behaviors. Moreover, iMSC-sEVs inhibited activated mast cell infiltration and interactions with nerve fibers in tendinopathy. In vitro study showed that the expression of proinflammatory cytokines and the degranulation of mast cells induced by substance P were reduced upon iMSC-sEVs treatment. Transcriptome analysis revealed that iMSC-sEVs treatment down-regulated the expression of genes involved in the HIF-1 signaling pathway.Conclusion: Overall, this study demonstrated that iMSC-sEVs relieved tendinopathy-related pain through inhibiting mast cells activation partly via the HIF-1 signaling pathway. These findings provide a novel treatment strategy for pain derived from tendinopathy and unravel the molecular mechanism underlying the application of iMSC-sEVs on mast cells.
COVID-19 Waves: Variant Dynamics and Control
Authors: Dutta Abhishek 
Published: December 2021

Abstract
The COVID-19 variants driven waves continue to try to nullify the success we achieved through efficacious vaccines, test and quarantine and social restrictions. This paper models the two major variants driven waves by two sets of susceptible-infected-quarantined-recovered-vaccinated-deceased coupled dynamics that is modulated by the three main interventions: vaccination, quarantine and restrictions. This SI2Q2R2VD system is used to demonstrate that the second major novel coronavirus wave in the US is caused by the delta variant and the corresponding rapid surge in infectious cases is driven by the unvaccinated pool of the populace. Next, a feedback control based planned vaccination strategy is derived and is shown to be able to suppress the surge in infections effectively.
Evaluation of the Impact of Maternal Training on Knowledge of Danger Signs in Sick Newborns and Health Seeking Behaviors Among Mothers in Enugu, South-east Nigeria- a Pre-and-post Interventional Study
Authors: Ekwochi Uchenna , Ndu Ikenna Kingsley , Nduagubam Obinna C , Chime Onyinye H , Amadi Ogechukwu F , Eneh Chizoma , Asinobi Isaac N , Osuorah Donatus Ignatius Chidiebere 
Published: December 2021

Abstract
Background: During the early weeks of life, the signs/symptoms of serious illness can be subtle, thus careful watching is crucial. The World health Organization has recognized nine “danger sign” which are closely associated with morbidity and mortality when not recognized early and given adequate care. This project was undertaken to assess mothers’ knowledge of these danger signs and health seeking behavior before and after training on newborn danger signs.Methodology: This community-based interventional study was carried amongst women in two rural communities of Enugu State. Participant’s knowledge of danger signs and care seeking behaviors were obtained using an interviewer administered questionnaire before and after training on the danger signs newborns using videos from the Integrated Management of Childhood Illnesses (IMCI). Pre- and post-training data were collated for analysis and comparison using SPSS version 20.Results: A total of 197 women were enrolled for the study. Among the socio-demographic indices examined, only the number of newborns nursed in the past significantly determined knowledge of danger signs in the sick newborn (P=0.032). Prior to the training, 47% of respondents could not recount offhand any danger sign compared to 1.5% after the training (P=0.001). Knowledge of up to 3 danger signs significantly increased after the training (P = 0.001) and participants who admitted seeking medical help within 24 hours of noticing any danger signs in newborn also significantly increased, (P= 0.043).Conclusion: Our study documented a strong impact of training of mothers on their knowledge of danger signs in the sick newborns and on their healthcare seeking behavior. Therefore, training and retraining of mothers and/or care givers could help improve newborn care and reduce overall infant mortality
Validation of an Online Calculator to Predict Short-term Postoperative Outcomes in Patients with Metastatic Brain Tumors
Authors: Kang Jennifer H. , Murphy Kelly Ryan , McCray Edwin , Ramirez Luis , Price Meghan , Dalton Tara E. , Peters Katherine B. , Desjardins Annick , Johnson Margaret O. , Friedman Allan H. , Cook Steven , Codd Patrick J. , Sampson John H. , Zomorodi Ali R. , Fecci Peter E. , Goodwin C. Rory 
Published: December 2021

Abstract
Introduction: Estimating the risk of extended length of stay (LOS) or non-routine discharge disposition is helpful in surgical decision-making for patients with brain metastases (BM). In 2020, an online calculator was introduced by Khalafallah et al. that stratified the risk of patients with brain tumors based on poor surgical outcomes. We applied the calculator to our population of BM patients to determine its generalizability and validity. Methods: We included BM patients who underwent a cranial procedure between 2015 and 2018 at a single academic institution. Patient age, race, marital status, admission status, KPS score, and medical co-morbidities (5-point modified frailty index (mFI-5)) were included in the analysis. We calculated the areas under the Receiver Operating Characteristics (ROC) curves to determine the validity of the model proposed in predicting extended LOS (>7 days) and need for specialty care at discharge (non-routine discharge disposition). Results: We analyzed 244 patients (mean age 61.2 years (SD 11.1), 57.0% female, and 78.1% Caucasian). The areas under the ROC curves were 0.8427 and 0.8422 for extended LOS and non-routine discharge disposition, suggesting high accuracy of the models for these outcomes. However, the (mFI-5) was not a significant predictor of either outcome in our multivariate analyses. Conclusions: We validated Khalafallah et al.’s predictive models of extended LOS and non-routine discharge disposition in our patient population, which included a broader range of surgical procedures. Further investigation of this model could clarify how the type of neurosurgical procedure influences outcomes, the role of the mFI-5, and its overall generalizability.
The Indian Ocean SST Link to Solar Induced Chlorophyll Fluorescence Over India During Early Summer Monsoon
Authors: Varghese Roma , Behera Swadhin K. , Behera Mukunda Dev 
Published: December 2021

Abstract
This is a maiden attempt to explore the influence of sea surface temperature (SST) variations in the tropical Indian Ocean on the gross primary productivity (GPP) of the terrestrial vegetation of India during the summer monsoon. We studied the productivity of the vegetation across India using solar-induced chlorophyll fluorescence (SIF) as a proxy. Our results demonstrated a strong negative SST–SIF relationship: the productivity decreases (increases) when the SST of the tropical Indian Ocean is higher (lower) than normal. This SST–SIF coupling observed during June can be explained through the atmospheric teleconnections. Positive SST anomalies weaken the land–ocean thermal gradient during the monsoon onset period, reduce the monsoon flow, and hence decrease the moisture transport from the ocean to the Indian mainland. The resultant water stress, along with the high air temperature, leads to a reduction in the GPP. Conversely, negative SST anomalies strengthen the monsoon and increase the availability of moisture for photosynthesis. There is scope for improving regional GPP forecasting studies using the observed SST–SIF relationships.
Preparation of a miR-155-activating Nucleic Acid Nanoflower to Study the Molecular Mechanism of miR-155 in Inflammation
Authors: Wang Wenxin , Geng Jie , Wu Xiaohan , Zhang Jianguang , Zheng Chenna , Rao Huachun , Xu Chaochen , Li Tianyu , Diao Yong , Yang Huiyong 
Published: December 2021

Abstract
BackgroundAt present, the molecular mechanisms underlying inflammation remain unclear. In recent years, research on inflammation has focused on stimulating cell inflammation by using external pathogens such as LPS or inflammatory factors. To investigate the molecular mechanism of inflammation from a new perspective, we designed a nucleic acid nanoflowers (NFs) complex to directly activate inflammatory genes to study the inflammatory response without the need for external microbial factors to trigger an inflammatory response. ResultsAn RNAa-type target gene-activated NF was designed. Human umbilical vein endothelial cells (HUVECs) were transfected with NFs carrying saRNAs to directly co-activate microRNA (miR)-155 and SHIP1 genes. Inflammatory gene and protein expression in the HUVECs were evaluated to assess whether miR-155 overexpression can trigger inflammation. After RNAa-type NFs were transferred into HUVECs, the expression of miR-155 and pro-inflammatory and cancer-related factors increased, anti-inflammatory factors were reduced, cell proliferation increased, and cell migration was promoted. IL-1β protein levels were decreased and SHIP1 expression was downregulated. When miR-155 and its target SHIP1 were both activated, the expression of both was unaltered, maintaining cell homeostasis. ConclusionMiR-155 and its target genes act as a molecular switch role in the development of inflammation.
Finishing of Micro-Aspheric Tungsten Carbide Mold Using Small Viscoelastic Tool
Authors: Zhu Xiangyou , Wang Han , Zhang Jiarong , Yao Honghui , Zhuo Shaomu , Yan Xiaoqiang , Deng Jiannan , Liang Lu , Cai Nian 
Published: December 2021

Abstract
Tungsten carbide is widely used as the material of replication mold to produce small aspheric optics, and the polishing process determines the precision of the mold. However, for micro-aspheric tungsten carbide mold, the existing polishing methods are difficult to realize the from error modification during the polishing because the polishing tool is always larger than small mold. Therefore, a polishing tool which using polyester fiber cloth to wrap small-size rigid ball is used in this paper. In order to predict the tool influence function (TIF) of this polishing tool, a series of theoretical analysis and experimental verification are carried out in this paper. Firstly, by analyzing the structural and viscoelastic characteristics of the fiber cloth, the pressure distribution in the polishing contact area is determined. And the polishing speed distribution is obtained by analyzing the kinematic movement of the polishing tool; Then, combined with Preston equation, the tool influence function is derived; Afterward, through a series of single point polishing experiments, it is verified that the volume error between the theoretical removal model and the experimental removal is less than 10.8%; Finally, the tool influence function is applied to the form error corrective polishing of small size symmetric aspheric tungsten carbide mold. After one form error corrective polishing, the PV value (Peak to Valley) of form error is decreased from 0.405um to 0.068um, which verifies the effectiveness of the polishing method of small size tungsten carbide mold in form error correction.
Seropositivity of Main Vector-Borne Pathogens in Dogs Across Europe
Authors: Miró Guadalupe , Wright Ian , Michael Helen , Burton Wade , Hegarty Evan , Rodón Jaume , Buch Jesse , Pantchev Niko , von Samson-Himmelstjerna Georg 
Published: December 2021

Abstract
Introduction: Canine Vector-borne disease (CVBD) has been an area of increasing interest in Europe over the last few decades, and there have been changes in the prevalence and distribution of many of these diseases. Monitoring CVBD infections in Europe is often done by individual countries, but aggregated data for the European countries are helpful to understand the distribution of CVBDs. Methods: We used an extensive retrospective database of results from point-of-care rapid enzyme-linked immunosorbent assay (ELISA) tests on dogs across Europe to identify distribution and seropositivity in animals tested for selected CVBDs (Anaplasma spp., Ehrlichia spp., Borrelia burgdorferi, Leishmania spp., and Dirofilaria immitis) from 2016 through 2020. Geographic distribution of positive tests and relative percent positive values were mapped by the Nomenclature of Territorial Units for Statistics classification for regions with sufficient test results for reporting.Results: A total of 404,617 samples corresponding with 1,134,648 canine results were available from dogs tested in 35 countries over the 5-year study period. Over this period the number of test results per year increased whereas test positivity decreased. Leishmania spp. had the largest increase in total test results from 25,000 results in 2016 to over 60,000 results in 2020. Test positivity for Leishmania spp. fell from 13.9% in 2016 to 9.4% in 2020. Test positivity fell for Anaplasma spp. (7.3% to 5.3%), Ehrlichia spp. (4.3% to 3.4%), and Borrelia burgdorferi (3.3% to 2.4%). D. immitis test positivity trended down with a high of 2.7% in 2016 and low of 1.8% in 2018. Leishmania spp. test positivity was highest in endemic areas and in several non-endemic countries with low numbers of test results. Co-positivity rates were significantly higher than expected for all pathogen test positive pairs except for Ehrlichia spp. with Borrelia burgdorferi and D. immitis with Borrelia burgdorferi.Conclusions: This study represents the largest data set on CVBD seropositivity in Europe to date. The increase in the number of test results and decreasing test positivity over the study period may reflect changes in testing behavior and increased screening of healthy animals. The Europe-wide mapping of CVBD provides expected test-positivity that can help inform veterinarians’ decisions on screening and improve prevention and identification of these important, sometimes zoonotic, diseases.
Compact And Scalable Large Vortex Array Generation Using Azocarbazole Polymer And Digital Hologram Printing Technique
Authors: Jessie Jackin Boaz , Masaki Shirai , Honoka Haginaka , Kinashi Kenji , Tsutsumi Naoto , Sakai Wataru 
Published: December 2021

Abstract
An integrated device capable of generating large number of multiplexed optical vortex beams with arbitrary topological charges is considered as one of the crucial requirement for driving information photonics forward. Here we report a simple method for simultaneous generation of 100 multiplexed optical vortex beams from a polymer film of size 1mm2 and thickness of 30µm. This is achieved through a combination of computer generated holography, digital hologram printing and photoisomeric polymers. When the fabricated sample is illuminated with a collimated laser beam, a predetermined vortex array with arbitrary topological charge is emitted. The polymer film easy to synthesise and exhibits good diffraction efficiency and long retention time.
The global prevalence of depression, anxiety, stress and insomnia among general population during COVID-19 pandemic: A systematic review and meta-analysis
Authors: Mahmud Sultan , Mohsin Md. , Dewan Md. Nayem , Muyeed Abdul 
Published: December 2021

Abstract
This study aimed to examine research findings related to depression, anxiety, stress, and insomnia during the COVID-19 pandemic. This study also explored periodic changes in the prevalence of depression, anxiety, stress, and insomnia among the general people during this pandemic. We performed a meta-analysis by searching articles from several sources (PubMed, MEDLINE, and GOOGLE SCHOLAR). We used the random-effects models, subgroup analysis, and heterogeneity test approaches. Results show that the prevalence of depression, stress, and insomnia increased during March to April 2020 (30.51%, 29.4%, and 25% respectively) compared to the study period before February 2020 (25.25%, 16.27%, and 22.63% respectively) and followed in May to June 2020 (16.47%, 5.1%, and 19.86 respectively). The prevalence of depression and anxiety from k= 30 studies was 28.18% (95% CI: 23.81-32.54), and 29.57% (95% CI: 24.67-34.47), respectively. And the prevalence of stress (k=13) was 25.18% (95% CI: 14.82 – 35.54) and the prevalence of insomnia (k=12) was 23.50% (95% CI: 16.44 – 30.57). These prevalence estimates during the pandemic are very high compared to normal times. Hence, the governments and policymakers should apply proven strategies and interventions to avoid psychological adversity and improve overall mental health during the COVID-19 pandemic.
Detection of Attacks in Pervasive Computing Using Gated Recurrent Unit Based on Bidirectional Weighted Feature Averaging
Authors: Rajasekaran P. , Magudeeswaran V 
Published: December 2021

Abstract
In the era of information technology, the new types of cyber-attacks affect the performance of the network, which is very risky and cannot be restored quickly. In pervasive computing, there are more chances for such types of attacks since the personal data of the user is closely connected to the social environment. The research is performed using SNMP-MIB dataset, and feature selection are made by using the Enhanced Salp Swarm Optimization to select the optimal features to identify the attacks by using wrapper techniques. Then, various types of attacks are appropriately distinguished with proposed classifier Gated Recurrent Unit Neural Network based on Bidirectional Weighted Feature Averaging for high detection rate and accuracy. The value of performance metrics obtained from the proposed method outperforms the existing methods in terms of 99.9% accuracy, 99.8% in precision and detection rate is 99% in classifying different types of attacks.
The Hierarchical Organization of Syntax
Authors: Ravandi Babak , Concu Valentina 
Published: December 2021

Abstract
Hierarchies are the backbones of complex systems and their analysis allows for a deeper understanding of their structure and how they evolve. We consider languages to be also complex adaptive systems. Hence, we analyzed the hierarchical organization of historical syntactic networks from German that were created from a corpus of texts from the 11th to 17th centuries. We tracked the emergence of syntactic structures in these networks and mapped them to specific communicative needs. We named these emerging structures communicative hierarchies. We hypothesise that the communicative needs of speakers are the organizational force of syntax. We propose that the emergence of these multiple communicative hierarchies is what shapes syntax, and that these hierarchies are the prerequisite to the Zipf's law. The emergence of communicative hierarchies indicates that the objective of language evolution is not only to increase the efficiency of transferring information. Language is also evolving to increase our capacity to communicate more sophisticated abstractions as we advance as a species.
Short chain fatty acids reduces OPCs loss by inhibiting activation of astrocytes via SGK1/IL-6 signaling pathway
Authors: Gao Yanmin , Xie Di , Wang Yang , Niu Lei , Jiang Hua 
Published: December 2021

Abstract
Short chain fatty acids (SCFAs) are known to be actively involved in neurological disease, but their roles in hypoxic-ischemic brain injury (HIBI) is unclear. This study established a rat model of HIBI, then measured the changes in IL-6 and NLRP3, proliferation and apoptosis indicators of oligodendrocyte precursor cells (OPCs). The mechanism of SCFAs on astrocytes were also investigated. To further explore the mechanism, astrocytes were treated with hypoxia in vitro and OPCs were treated with IL-6. The results showed that SCFAs significantly alleviated the activation of astrocyte and loss of OPCs induced by HIBI. SCFAs pretreatment was associated with the following: (1) downregulation of NLRP3, IL-6, CCL2, and IP-10; (2) was no effect on proliferation of OPCs; (3) amelioration of the abnormal expression of Bax and Bcl-2; and (4) regulation of IL-6 expression via SGK1 related pathway in astrocytes. Our findings revealed that SCFAs alleviated loss of OPCs through regulating the astrocytes activation by SGK1/IL-6 signaling pathway.
Improved convergence results for the Nelder-Mead simplex method in low dimensional spaces
Authors: Aurél  
Published: December 2021

Abstract
We prove two results on the convergence of the Nelder-Mead simplex method. Both theorems prove the convergence of the simplex vertices to a common limit point. The first result is an improved variant of the convergence theorems of [7] and [8], while the second one proves the convergence with probability 1.
Gene Updater: A Streamlit web tool that autocorrects and updates for Excel misidentified gene names
Authors: Koh Clara WT , Ooi Justin SG , Joly Gabrielle LC , Chan Kuan Rong 
Published: December 2021

Abstract
Background

Opening and processing gene expression data files in Excel runs into the inadvertent risk of converting gene names to dates. A plausible solution is to update these genes and dates to the new approved gene names as recommended by the HUGO Gene Nomenclature Committee (HGNC).
Results

We found that molecular pathways related to cell division, exocytosis, cilium assembly, protein ubiquitination and nitric oxide biosynthesis are most affected by this Excel auto-conversion. To circumvent this issue, we developed a web tool, Gene Updater, with Streamlit that can convert old gene names and dates back into the new gene names recommended by HGNC. The running instance of the web tool is accessible at: https://share.streamlit.io/kuanrongchan/date-to-gene-converter/main/date_gene_tool.py
Conclusions

Gene Updater can convert old gene names and dates back into the updated gene names, which are more resilient to Excel auto-conversion. We envision this tool to facilitate the sharing of gene expression datasets across multiple analytics platforms.