bluuebunny/crossref_metadata_2025_split huggingface dataset:
TULP3 Silencing Suppresses Cell Proliferation, Migration and Invasion in Gastric Cancer Via the PTEN/Akt/Snail Signaling Pathway
Authors: Liu Rui , Song Jun , Fu Qingsheng , Liu Gang , Zhang Chengxiong , Wang Bing , Li Zhi 
Published: December 2021

Abstract
Purpose

Tubby-like protein 3 (TULP3), a member of the tubby family, has been related to the development of nervous system by gene knockout researches. Nevertheless, the regulatory mechanism and role of TULP3 in the gastric cancer are not clear. Current research is the first probe into the regulatory effect of TULP3 in the gastric cancer.
Methods

Western blotting together with real time polymerase chain reaction (PCR) were employed for the quantitative detection of TULP3 expression in the gastric cancer and consecutive non-cancerous tissues, and gastric cancer cells. Kaplan-Meier method along with Log-rank test was exploited for the determination of the disease-free survival rate and overall survival time of patient containing with different expression of TULP3 in tumors. The roles of TULP3 in invasion, migration as well as proliferation of the gastric cancer cell in vivo and in vitro through utilizing colony formation test, MTT test, wound-healing test, transwell test and mouse xenograft model. Western blotting assay was implemented in order to clarify the potential molecular mechanisms. Furthermore, electron microscopy and western blot were evaluated TULP3 expression in gastric cancer patient extracted serum exosomes.
Results

TULP3 expression levels were remarkably up-regulated in the gastric cancer tissues and cells. Subsequent functional assays demonstrated that TULP3 downregulation suppressed invasion, migration as well as the proliferation of the gastric cancer cell. Mechanism assays depicted that the PTEN/Akt/Snail signaling pathway can inhibit invasion, migration as well as the proliferation of the gastric cancer cell via TULP3 silencing. Finally, we found that the expression of TULP3 could be determined in the extracted serum exons. The expression of TULP3 in gastric cancer group was higher in comparison with normal group.
Conclusion

Our outcomes reveal that TULP3 probably play a role in the diagnosis together with the prognostic biomarkers of gastric cancer.
Age at Smoking Onset and Risk of Heavy Cigarette Smoking Among Iranian Adult Male: An Application of Generalized Additive Model
Authors: Manoochehri Zohreh , Faradmal Javad , Moghimbeigi Abbas 
Published: December 2021

Abstract
Background: Because the age at which a person first starts smoking has such a strong correlation with future smoking behaviours, it's crucial to examine its relationship with smoking intensity. However, it is still challenging to accurately identify this relationship due to limitations in the methodology of the performed studies .Therefore the main purpose of this study is to evaluate this relationship and also to identify the other risk factors affecting smoking intensity using an appropriate model.Methods: Data from 913 Iranian male current smokers over the age of 18 was evaluated from a national cross-sectional survey of non-communicable disease (NCD) risk factors in 2016. Individuals were classified into: light, moderate, and heavy smokers. A generalized additive model (GAM) was used to assess the relationship.Results: 246 (26.9%) subjects were light smokers, 190 (20.8%) subjects were moderate smokers and 477 (52.2%) subjects were heavy smokers. According to the GAM results, the relationship was nonlinear and smokers who started smoking at a younger age were more likely to become heavy smokers. The factors of unemployment (OR = 1.364), retirement (OR = 1.217), and exposure to secondhand smoke at home (OR = 1.364) increased the risk of heavy smoking. but, smokers with high-income (OR = 0.742) had a low tendency to heavy smoking. Conclusions: GAM identified the nonlinear relationship between the age of onset of smoking and smoking intensity. Tobacco control programs should be focused on young and adolescent groups and poorer socio-economic communities.
Bioinformatics Analysis for Identifying Micro-RNAs, Long Noncoding RNAs, Transcription Factors, Immune Genes Regulatory Networks, and Potential Therapeutic Agents for Diabetic Cardiomyopathy Using an Integrated Bioinformatics Analysis
Authors: Zhou Jiefang , Ji Xiaowei , Shen Xiuwei , Yan Kefeng , Huang Peng , Huang Chunyan 
Published: December 2021

Abstract
Objectives
We identified functional genes and studied the underlying molecular mechanisms of diabetic cardiomyopathy (DCM) using bioinformatics tools.
Methods
Original gene expression profiles were obtained from the GSE21610 and GSE112556 datasets. We used GEO2R to screen the differentially expressed genes (DEGs). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed on DEGs. Protein–protein interaction (PPI) networks of DEGs were constructed using STRING and hub genes of signaling pathways were identified using Cytoscape. Aberrant hub gene expression was verified using The Cancer Genome Atlas dataset. Connectivity Map was used to predict the drugs that could treat DCM.
Results
The DEGs in DCM were mainly enriched in the nuclei and cytoplasm and involved in DCM- and chemokine-related signaling pathways. In the PPI network, 32 nodes were chosen as hub nodes and an RNA interaction network was constructed with 517 interactions. The expression of key genes (JPIK3R1, CCR9, XIST, WDFY3.AS2, hsa-miR-144-5p, and hsa-miR-146b-5p) was significantly different between DCM and normal tissues. Danazol, ikarugamycin, and semustine were identified as therapeutic agents against DCM using CMAP.
Conclusion
The identified hub genes could be associated with DCM pathogenesis and the above drugs could be used for treating DCM.
Alternative Polyadenylation Associated with Prognosis and Therapy in Colorectal Cancer
Authors: Wang Yuzhi , Xu Yunfei , Zhang Yi 
Published: December 2021

Abstract
Colorectal cancer (CRC) is among the most widely spread cancers globally. Aberrant alternative polyadenylation (APA) plays a role in cancer onset and its progression. Consequently, this study focused on highlighting the role of APA events and signals in the prognosis of patients with CRC. The APA events, RNA sequencing (RNA-seq), somatic mutations, copy number variants (CNVs), and clinical information of the CRC cohort were obtained from The Cancer Genome Atlas (TCGA) database and UCSC (University of California-Santa Cruz) Xena database. The entire set was sorted into two sets: a training set and a test set in a ratio of 1:1. 197 prognosis-related APA events were collected by performing univariate Cox regression signature in patients with CRC. Subsequently, a signature for APA events was established by least absolute shrinkage and selection operator (LASSO) and multivariate Cox analysis. The risk scores were measured for individual patients on the basis of the signature and patients were sorted into two groups; the high-risk group and the low-risk group as per their median risk scores. Kaplan-Meier curves, principal component analysis (PCA), and time-dependent receiver operator characteristic (ROC) curves revealed that the signature was able to predict patient prognosis effectively and further validation was provided in the test set and the entire set. Both the groups highlighted various distributions of mutations and CNVs. Tumor mutation burden (TMB) alone and in combination with the signature predicted the prognosis of CRC patients, but the gene frequencies of TMBs and CNVs did not change in the low- and high-risk groups. Moreover, immunotherapy and chemotherapy treatments showed different responses to PD-1 inhibitors and 26 chemotherapeutic agents in the low and high-risk groups based on the tumor immune dysfunction and exclusion (TIDE) and genomics of drugs sensitivity in cancer (GDSC) databases. This study helped in understanding APA events during the progression of CRC in great detail, and the signature for prognosis-related APA events can work as the potential predictors for survival and treatment in patients with CRC.
Investigation on the Effect of Dynamic Fracture Toughness to Zirconia Ceramic Grinding Performance with Different Grain Sizes
Authors: Yan Can , Deng Zhaohui , Xia Tao , Liu Wei , Zhang Hua 
Published: December 2021

Abstract
To reveal the material removal mechanism of zirconia ceramics, an improved prediction models of the critical grinding force and maximum subsurface damage depth models are developed based on the dynamic fracture toughness. The effects of three different grain sizes on the material removal mechanism during brittle- ductile transition process of zirconia ceramics is analyzed through grinding experiments. And the influence of grain size on grinding force, workpiece surface roughness, surface fragmentation rate and subsurface damage depth in grinding are discussed. The results of the experiment results indicated that the value of dynamic fracture toughness tends to decrease with an increase in equivalent grinding thickness, and the ductile removal range of zirconia ceramics expands for the reason that the critical grinding force considering dynamic fracture toughness is higher than the static grinding force considering static fracture toughness, and the maximum subsurface damage depth is closer to actual maximum subsurface damage depth. Besides the smaller the grain size of zirconia ceramics, the higher the surface quality of grinding.
Voltage Stability Assessment of Grid Connected PV Systems With FACTS Devices
Authors: Abdullah Melat , Hassan Lokman , Moghavvemi M. 
Published: December 2021

Abstract
Three static techniques (i.e., Power flow, Continuation Power Flow (CPF), and the Q-V curve) were used to assess the voltage stability of the power grid with a Solar Photovoltaic Generator (SPVG) and FACTS devices under nominal and heavy loading conditions. A static model is proposed for the power system that includes conventional power generation units and SPVGs with FACTS devices. Two models of SPVG were used (i.e., PV model and PQ model) to elucidate the effect of the SPVGs on the voltage stability under various operating conditions. The best location for FACTS devices was obtained under nominal and heavy load conditions using static techniques. The series and shunt FACTS devices under nominal and heavy loading conditions were compared using the abovementioned static techniques. The interaction between SPVGs and FACTS devices is detailed in this paper. The proposed approach was tested on the New England 39-bus standard test system, and the results confirmed the effectiveness of the proposed method under various operating conditions.
A Closed-Form Analytical Solution to the Complete Three-Dimensional Unsteady Compressible Navier-Stokes Equation
Authors: Amoloye Taofiq Omoniyi 
Published: December 2021

Abstract
The three main approaches to exploring fluid dynamics are actual experiments, numerical simulations, and theoretical solutions. Numerical simulations and theoretical solutions are based on the continuity equation and Navier-Stokes equations (NSE) that govern experimental observations of fluid dynamics. Theoretical solutions can offer huge advantages over numerical solutions and experiments in the understanding of fluid flows and design. These advantages are in terms of cost and time consumption. However, theoretical solutions have been limited by the prized NSE problem that seeks a physically consistent solution than what classical potential theory (CPT) offers. Therefore, the current author embarked on a doctoral research on the refinement of CPT. He introduced the Refined Potential Theory (RPT) that provides the Kwasu function as a physically consistent solution to the NSE problem. The Kwasu function is a viscous scalar potential function that captures known and observable unsteady features of experimentally observed wall bounded flows including flow separation, wake formation, vortex shedding, compressibility effects, turbulence and Reynolds-number-dependence. It is appropriately defined to combine the properties of a three-dimensional potential function to satisfy the inertia terms of the NSE and the features of a stream function to satisfy the continuity equation, the viscous vorticity equation and the viscous terms of the NSE.
RPT has been verified and validated against experimental and numerical results of incompressible unsteady sub-critical Reynolds number flows on stationary finite circular cylinder, sphere and spheroid. It is concluded that the Kwasu function is a physically consistent and closed-form analytical solution to the NSE problem.
A Velocity-Independent DOA Estimator of Underwater Acoustic Signals Via An Arbitrary Cross-Linear Nested Array
Authors: Ning Gengxin , Wang Yu , Jing Guangyu , Zhao Xuejin 
Published: December 2021

Abstract
In this paper, an estimator for underwater DOA estimation is proposed by using a cross-linear nested array with arbitrary cross angle. The estimator excludes the variation acoustic velocity by deriving the geometric relation of the cross-linear array on the proposed algorithm. Therefore, compared with traditional DOA estimation algorithms via linear array, this estimator eliminates systematic errors caused by the uncertainty factor of the acoustic velocity in the underwater environment. Compared with the traditional acoustic velocity independent algorithm, this estimator uses the nested array and improves the performance of DOA estimation. In addition, the estimator is based on arbitrary angle of the cross-linear array, so it is more flexible in practical applications. Numerical simulations are provided to validate the analytical derivations and corroborate the improved performance in underwater environments where the actual acoustic velocity is not accurate.
Multistable Dynamics in a Hopfield Neural Network Under Electromagnetic Radiation and Dual Bias Currents
Authors: Wan Qiuzhen , Yan Zidie , Li Fei , Liu Jiong , Chen Simiao 
Published: December 2021

Abstract
This paper investigates a Hopfield neural network (HNN) under the simulation of external electromagnetic radiation and dual bias currents, in which the fluctuation of magnetic flux across the neuron membrane is used to emulate the influence of electromagnetic radiation. Utilizing conventional analytical methods, the basic properties of the proposed Hopfield neural network are discussed. Due to the addition of electromagnetic radiation and dual bias currents, the Hopfield neural network shows high sensitivity to system parameters and initial conditions. The proposed Hopfield neural network possesses multistability with periodic attractor, quasi-periodic attractor, chaotic attractor and transient chaotic attractor, and all of the attractors are hidden attractors because there is no equilibrium point in the system. In particular, when the neuron membrane magnetic flux is different, the system can present transient chaos with different chaotic times. More interestingly, with the change of system parameters, the proposed Hopfield neural network can exhibit parallel bifurcation behaviors. Finally, the Multisim simulation and hardware experiment results based on discrete electronic components are conducted to support the numerical ones. These results could give useful information to the study of nonlinear dynamic characteristics of the Hopfield neural network.
XGBoost automates the characterisation of reversibly actuating planar-flow-casted NiTi shape memory alloy foil
Authors: DUTTA RITABAN , Chen Cherry , Renshaw David , Liang Daniel 
Published: December 2021

Abstract
Nickel-Titanium (NiTi) shape memory alloys (SMAs) are smart materials able to recover their original shape under thermal stimulus. Near-net-shape NiTi SMA foils of 2 meters in length and width of 30 mm have been successfully produced by a planar flow casting facility at CSIRO, opening possibilities of wider applications of SMA foils. The study also focuses on establishing a fully automated experimental system for the characterisation of their reversible actuation, significantly improving SMA foils adaptation into real applications. Artificial Intelligence involving Computer Vision and Machine Learning based methods were successfully employed in the development of the automation SMA characterisation process. The study finds that an Extreme Gradient Boosting (XGBoost) Regression model based predictive system experimented with over 175,000 video samples could achieve 99% overall prediction accuracy. Generalisation capability of the proposed system makes a significant contribution towards the efficient optimisation of the material design to produce high quality 30 mm SMA foils.
Extracellular matrix derived from Wharton’s Jelly-derived mesenchymal stem cells promotes angiogenesis via integrin αVβ3/c-Myc/P300/VEGF
Authors: Ma Beilei , Wang Tengkai , Li Juan , Wang Qian 
Published: December 2021

Abstract
Background

Angiogenesis is required in many physiological conditions, including bone regeneration, wound healing, and tissue regeneration. Cell-derived extracellular matrix (CD-ECM) could guide intricate cellular and tissue processes such as homeostasis, healing and regeneration.
Methods

The purpose of this study is to explore the effect and mechanism of ECM derived from decellularized Wharton's Jelly-derived mesenchymal stem cells (WJ-MSCs) on endothelial cell viability and angiogenesis.
Results

In this study, we found for the first time that WJ-MSCs ECM could improve the angiogenesis ability of human umbilical vein endothelial cells (HUVECs) with a time-dependent manner in vitro. Mechanically, WJ-MSCs ECM activated the focal adhesion kinase (FAK)/P38 signaling pathway via integrin αVβ3, which further promoted the expression of the cellular (c)-Myc. Further, c-Myc increased histone acetylation levels of the vascular endothelial growth factor (VEGF) promoter by recruiting P300, which ultimately promoting VEGF expression.
Conclusions

Extracellular matrix derived from Wharton’s Jelly-derived mesenchymal stem cells promotes angiogenesis via integrin αVβ3/c-Myc/P300/VEGF. This study is expected to provide a new approach to promote angiogenesis in bone and tissue regeneration.
Cnicin from Centaurea benedicta L. is an active compound against skin inflammation in a mouse model
Authors: Sousa Orlando Vieira , Gonçalves Guilherme C. , Queiroz Lucas S. , Ferreira Everton A. , Santos Bruna C. S. , Filho Ademar A. Silva , Taranto Alex G. 
Published: December 2021

Abstract
Centaurea benedicta L., commonly known as “cardo santo,” is used as a tonic, antidepressant, anti-inflammatory, antibacterial, and antiseptic in traditional medicine. This study evaluated the topical anti-inflammatory potential of an extract (ECB) and cnicin (CNI) from C. benedicta leaves in a mouse model. Activity was assessed using the ear edema method with croton oil, phenol, capsaicin, and histamine as phlogistic agents. Myeloperoxidase (MPO), N-acetyl-β-D-glucosaminidase (NAG), nitric oxide (NO), t umor necrosis factor α (TNF-α), interleukin 6 (IL-6), and histopathology were assessed as markers of edema/inflammation. Interaction profiles between CNI and cyclooxygenase-1 and -2, induced nitric oxide synthase, and glucocorticoid receptor were examined with molecular docking. Twenty-four h after induction of inflammation, ECB and CNI treatments decreased the thickness and weight of ears by 39.59%– 94.72%. MPO, NAG, NO, TNF-α, and IL-6 levels were also reduced. Histopathological, treatments reduced edema thickness, leukocytes, and vasodilation. Inflammation induced by phenol and histamine was inhibited by ECB and CNI, and ECB suppressed capsaicin-induced inflammation. CNI interacts with cyclooxygenase-1 and nitric oxide synthase through conventional hydrogen bonds, indicating inhibition of these enzymes. ECB and its compound cnicin reduce chemically-induced inflammation in mice suggesting new possibilities for the treatment of diseases associated with dermal inflammatory processes.
Seroconversion following the first, second, and third dose of SARS-CoV-2 vaccines in immunocompromised population; A systematic review and meta-analysis
Authors: Nejad Mohammad-Mehdi Mehrabi , Shobeiri Parnian , Dehghanbanadaki Hojat , Tabary Mohammadreza , Aryannejad Armin , Ghadery Abdolkarim Haji , Shabani Mahya , Moosaie Fatemeh , SeyedAlinaghi SeyedAhmad , Rezaei Nima 
Published: December 2021

Abstract
Background: Immunocompromised (IC) patients are at higher risk of more severe COVID-19 infections than the general population. Special considerations should be dedicated to such patients. We aimed to investigate the efficacy of COVID-19 vaccines based on the vaccine type and etiology as well as necessity of booster dose in this high-risk population.Materials and methods: We searched PubMed, Web of Science, and Scopus databases for observational studies published between June 1st, 2020, and September 1st, 2021, which investigated the seroconversion after COVID-19 vaccine administration in adult patients with IC conditions. For investigation of sources of heterogeneity, subgroup analysis and sensitivity analysis were conducted. Statistical analysis was performed using R software.Results: According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we included 81 articles in the meta-analysis. The overall crude prevalence of seroconversion after the first (n: 7,460), second (n: 13,181), and third (n: 909, all population were transplant patients with mRNA vaccine administration) dose administration was 26.17% (95% CI: 19.01%, 33.99%, I2= 97.1%), 57.11% (95% CI: 49.22%, 64.83%, I2= 98.4%), and 48.65% (95% CI: 34.63%, 62.79%, I2= 94.4%). Despite the relatively same immunogenicity of mRNA and vector-based vaccines after the first dose, the mRNA vaccines induced higher immunity after the second dose. Regarding the etiologic factor, transplant patients were less likely to develop immunity after both first and second dose rather than patients with malignancy (17.0% vs 37.0% after first dose, P=0.02; 38.3% vs 72.1% after second dose, P<0.001) or autoimmune disease (17.0% vs 36.4%, P=0.04; 38.3% vs 80.2%, P<0.001). To evaluate the efficacy of the third dose, we observed an increasing trend in transplant patients after the first (17.0%), second (38.3%), and third (48.6%) dose.Conclusion: The rising pattern of seroconversion after boosting tends to be promising. In this case, more attention should be devoted to transplant patients who possess the lowest response rate.