bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of green-synthesized carbon dots for imaging of cancerous cell lines and detection of anthraquinone drugs using silica-coated CdTe quantum dots-based ratiometric fluorescence sensor
Authors: Mohammadinejad Arash , Abnous Khalil , Nameghi Morteza Alinezhad , Yahyazadeh Roghayeh , hamrah sara , Senobari Fereshteh , Mohajeri Seyed Ahmad 
Published: May 2022

Abstract

Background: Daunorubicin and doxorubicin, as chemotherapy drugs, treat cancer with many side effects. Therefore, detection of them in the biological system for regulation and controlling of usage is essential.Results: In this way, a ratiometric ﬂuorescent method was designed for quantification of daunorubicin and doxorubicin using bell pepper-based carbon dots, as variable signal, and silica-coated CdTe quantum dots, as an internal reference. The detection was performed based on variations of carbon dots intensity in the presence of daunorubicin and doxorubicin concentrations in comparison with the constant intensity of silica-coated CdTe quantum dots. The proposed ratiometric ﬂuorescent method was successfully used for detection of daunorubicin and doxorubicin range of 54.37-8156.6 nM and 86.2-17242 nM, with a detection limit of 18.53 and 29 nM, respectively. In addition, this method was used for detection of drugs in serum samples with recovery ranges of 86.14-99.62 (RSD 3-1.47%) and 86.32-97.53 (3.38-1.48%), respectively. Finally, after evaluation of carbon dots by MTT test, applicability of carbon dots was checked to image prostate cancer cell lines (PC-3) and breast cancer cell lines (MCF7).Conclusions: The results demonstrated that despite improvement of the repeatability and interferences reduction by ratiometric method, also carbon dots successfully used for imaging of cell lines.
Stippling generation method based on superpixel and color knapsack algorithm
Authors: LI Jun , TONG Le , Yan NIU , Ziren WANG 
Published: May 2022

Abstract
One of the most important branches of visual stylization is dot painting. It is primarily based on the change of point density to express the aesthetic features of the image by showing the change of color brightness in the image through the change of density. It is currently a hotbed of research in the topic of picture style migration. In many picture stylization applications, common depth learning methods have demonstrated considerable benefits, but they have not been applied in stippling. The fundamental problem is because stippling has a small dimension and constructing a loss function is challenging. A dot drawing generation algorithm based on superpixel and color knapsack is proposed in this paper. To begin, the algorithm uses a super-pixel preprocessing to preserve the color mutation level in the super-pixel, then generates the sampling radius using the color mean based on K-means binary clustering, and the Poisson disk generates the initial stipple sampling points based on the sampling radius. The random point selection algorithm based on the color knapsack algorithm is used to improve the local SSIM value to improve the effect of edge and detail area. The suggested technique outperforms previous methods in terms of visual effects, SSIM, and PSNR scores, as well as having good real-time performance.
Changes of signaling molecules in the axotomized rat facial nucleus
Authors: Ishijima Takashi , Nakajima Kazuyuki 
Published: May 2022

Abstract
Axotomy of the rat facial nerve causes downregulation of motoneuron-specific molecules, including choline acetyltransferase and the vesicular acetylcholine transporter, in surviving motoneurons. Subsequently, resident microglia are activated and proliferate. These cellular responses are thought to promote the survival, repair and regeneration of motoneurons. However, it is still unclear which signaling molecules are involved in these responses. In this study, we investigated the changes and localizations of several signaling molecules, including immediate early genes (IEGs) such as c-Jun and c-Fos, transcription factors such as cAMP responsive element binding protein (CREB) and activating transcription factor 2 (ATF2), and mitogen-activated protein kinases (MAPKs) such as extracellular signal-regulated kinase (ERK)1/2, c-Jun N-terminal kinase (JNK) and p38. Immunoblotting and immunohistochemical analyses revealed the following. Among the IEGs, c-Jun was increased in injured motoneurons, but c-Fos did not respond to neuronal injury. Among the CREB/ATF family members, phosphorylated CREB (p-CREB) was significantly decreased in injured motoneurons. The levels of p-CREB/CREB and ATF2 were immunohistochemically increased in microglia. Among MAPKs, p-ERK1/2 and p-JNK1 were decreased in injured motoneurons at the late stage. p-p38 and p38 were markedly increased in microglia. In vitro experiments revealed that p38 and CREB were activated in proliferating microglia. These results strongly suggested that c-Jun is involved in the survival, repair and regeneration of motoneurons, but p-CREB/CREB, p-ERK/ERK and p-JNK/JNK are associated with the downregulation of motoneuron-specific molecules. On the other hand, p-p38/p38 and p-CREB/CREB were suggested to be closely involved in the activation/proliferation of microglia.
Early detection of fraudulent COVID-19 products from Twitter chatter
Authors: Sarker Abeed , Lakamana Sahithi , Liao Ruqi , Abbas Aamir , Yang Yuan-Chi , Al-Garadi Mohammed Ali 
Published: May 2022

Abstract
BackgroundSocial media have served as lucrative platforms for spreading misinformation and for promoting fraudulent products for the treatment, testing, and prevention of COVID-19. This has resulted in the issuance of many warning letters by the United States Food and Drug Administration (FDA). While social media continue to serve as the primary platform for the promotion of such fraudulent products, they also present the opportunity to identify these products early by employing effective social media mining methods. In this study, we employ natural language processing and time series anomaly detection methods for automatically detecting fraudulent COVID-19 products early from Twitter. Our approach is based on the intuition that increases in the popularity of fraudulent products lead to corresponding anomalous increases in the volume of chatter regarding them. ResultsWe utilized an anomaly detection method on streaming COVID-19-related Twitter data to detect potentially anomalous increases in mentions of fraudulent products. We compared the anomaly signal generation date for each product with the corresponding FDA letter issuance date. Issue dates ranged from March 6, 2020 to June 22, 2021, and 44 key phrases representing fraudulent products were included. From 577,872,350 posts made between February 19, 2020 to December 31, 2020, our unsupervised approach detected 34/44 (77.3%) signals about fraudulent products earlier than the FDA letter issuance dates, and an additional 6/44 (13.6%) within a week following the corresponding FDA letters. ConclusionsOur proposed method is simple, effective, and easy to deploy, and does not require high-performance computing machinery, unlike deep neural network-based methods. The method can be easily extended to other types of signal detection from social media data.
Cloning and comparative modeling identifies a highly stress tolerant Cu/Zn cytosolic Super Oxide Dismutase 2 from a drought tolerant maize inbred line
Authors: Gautam Anuradha , Khan Fatima Nazish , Priya Surabhi , Kumar Krishan , Sharda Shivani , Kaul Tanushri , Singh Ishwar , Langyan Sapna , Yadava Pranjal 
Published: May 2022

Abstract
Plants have a complex system of stress response that deals with different types of stresses. Maize (Zea mays L.), one of the most important crops grown throughout the world, across a range of agro- ecological environments, employs complex mechanisms of gene regulation in response to drought stress. HKI 335 is a tropical maize inbred line showing remarkable adaptation to drought stress. Abiotic stresses, like drought, trigger the production of reactive oxygen species (ROS) due to the incomplete reduction or excitation of the molecular oxygen, eventually leading to cell damage. Superoxide dismutase (SOD, EC 1.15.1.1) is a metalloenzyme that acts as the first line of defense against ROS. We cloned the Sod2 gene from HKI 335 inbred line and analyzed its protein through detailed in silico characterization. Our comparative modeling revealed that at the level of tertiary structure, the HKI 335 SOD2 protein is highly similar to Potentilla atrosanguinea SOD2, which had been previously identified as highly thermostable SOD that can tolerate autoclaving as well as sub-zero temperatures. We performed phylogenetic analysis, estimated physico-chemical properties, post- translational modifications, protein- protein interactions, and domain composition of this SOD2.
Scanning Induction Thermography for Bearing Ring under AC-DC composite magnetization
Authors: Xu Zhaoyuan , Jiang Quanquan , Zhang Yuehong , Wu Jianbo , Li Ling , Qiu Fushou 
Published: May 2022

Abstract
Induction thermography is a promising nondestructive testing technique with the advantages of high efficiency, lift-off tolerance, and defect imaging. To fulfill scanning detection and quantify the defect in bearing rings, this paper proposes scanning eddy current thermography under AC-DC composite magnetization. With DC magnetization, the defect will cause permeability disturbance in the bearing ring surface. Under high-frequency AC magnetization, disturbed permeability will generate a non-uniform thermal response captured by the infrared camera. To investigate the detection principle, a multi-physics coupling simulation model for permeability and thermal distribution in the scanning process is built, involving DC-AC composite magnetization, nonlinear ferromagnetic material, heat generation, heat conduction, and scanning movement. Then, a thermal data post-processing method for scanning imaging and crack quantification is proposed. Finally, the scanning induction thermography system for bearing rings is designed and developed. The experimental results show that the proposed scanning method can quantify bearing ring cracks with depths up to 2.0 mm.
Level and wealth inequity in continuum of maternal healthcare services among Bangladeshi women of reproductive age: evidence from Bangladesh Multiple Indicator Cluster Survey 2012-13 and 2019
Authors: Rahman Md Hafizur , Akter Ema , Ameen Shafiqul , Jabeen Sabrina , Ahmed Anisuddin , Rahman Ahmed Ehsanur , Hossain Aniqa Tasnim 
Published: May 2022

Abstract
Background
Utilisation of maternal healthcare is low and it consistently decreases across antenatal to postnatal period in Bangladesh. However, there is paucity of knowledge in Bangladesh to understand gaps and associated factors in seeking continuum of maternal healthcare along the pathway. Therefore, we aimed to assess the trend in socioeconomic and demographic factors and wealth inequity in maternal CoC using the Bangladesh Multiple Indicator Cluster Survey (MICS).
Methods
We performed a secondary analysis on nationally representative data from the last two MICS survey, carried out in 2012-13 and 2019. The study included women of reproductive age (15–49 years) with a live birth within two years preceding the survey. Total of 7,950 and 9,183 respondents were identified from these two surveys, respectively. We used multivariable logistic regression and concentration index to examine the covariates and inequity, respectively, in the utilisation of CoC.
Results
Utilisation of ≥ 4 antenatal care, skilled delivery, and postnatal care for both mother and newborn increased from 13 percent in 2012-13 to 25 percent in 2019 survey. Moreover, inequity persists favouring the rich in utilisation of CoC in Bangladesh. Women belonging to wealthier quintile, urban areas, and non-Muslim families, with higher education, a household head with higher education, media use, and fewer children were most likely to avail complete CoC in both the surveys.
Conclusion
Overall utilisation of maternal CoC increased between 2012-13 and 2019, however, women in Bangladesh still lack the CoC with persistent wealth inequality. Integrated provision of ANC, delivery by SBA, and PNC should be introduced, comprising both private and public health facilities, and targeting women in poor and rural communities. Efforts should also focus on women’s education, autonomy, fertility rate, and exposure to media.
TNNI3 expression and prognostic value and correlation with tumor-infiltrating immune cells in LIHC: A bioinformatics analysis
Authors: Cong Mengxue , Yu Tongwei , Zhu La , Zhang Jing , Li Yanglong , Quan Xianglan , Shen Xionghu 
Published: May 2022

Abstract
Background: TNNI3 encodes a protein related to tumorigenesis and development, although its biological function remains unclear. There are no studies examining the relationship between TNNI3 gene expression and liver hepatocellular carcinoma (LIHC) occurrence and development.Methods: We analyzed the expression of TNNI3 through TIMER and UALCAN online debate in different types of human cancer and LIHC. Using UALCAN gene expression data, we examined the relationship between TNNI3 gene expression and clinicopathological factors. After searching the KM-Plotter database, we evaluated the association between TNNI3 gene expression and clinical outcome. TNNI3 genetic alterations were analyzed using the cBioPortal database. Subsequently, to verify the enrichment of the TNNI3 proteins and the TNNI3 genes, we used the "Express Analysis" module of Metascape, and GeneMANIA was used. For the purpose of assessing the correlation between TNNI3 and tumor immune cell infiltration, we used the TIMER website.Results: Our results highlighted that TNNI3 was differentially expressed in different tumors. Among LIHC patients, its expression is high, closely correlated with poor prognosis. LIHC expression of TNNI3 is related to the clinical stage and pathological type. The TNNI3 gene is highly expressed in LIHC, but very lowly expressed in adjacent normal tissues. Meanwhile, TNNI3 is co-expressed with many genes, and its biological function is regulated by each other. Furthermore, TNNI3 showed significant association with the expression of multiple immune markers.Conclusions: TNNI3 was more highly expressed in LIHC. Lower levels of TNNI3 suggest patients have a favorable prognosis. TNNI3 was associated with the level of immune infiltration as well. TNNI3 might contribute to immunity regulation and affect LIHC prognosis according to all research results. In short, TNNI3 might be a potential target for LIHC.
Construction of a TFs-miRNA-mRNA network related to idiopathic pulmonary fibrosis
Authors: Su Minhong , Liu Junfang , Chen Xin , Xiao Qiang , Jiang Ning 
Published: May 2022

Abstract
Background: The transcription factors (TFs)-miRNA-mRNA network plays an important role in a variety of diseases. The TFs-miRNA-mRNA network related to idiopathic pulmonary fibrosis (IPF) remains unclear.Methods: GSE110147 and GSE53845 datasets from GEO database were used to process differential gene (DEGs) analysis, GSEA, WGCNA, Gene ontology and KEGG analysis. GSE13316 dataset were used to perform differential miRNA (DEMs) analysis and TFs prediction. Finally, a TFs-miRNA-mRNA network related to IPF was constructed, and the function was performed by GO and KEGG analysis. And twenty TFs in the network were verified by qPCR.Results: Through our analysis, 53 DEMs and 3675 DEGs were screened. The GSEA results suggested these genes were mainly related to protein digestion and absorption. WGCNA results showed that these DEGs were divided into eight modules, and the GO and KEGG analysis results of turquoise module genes showed that these 69 turquoise module genes were mainly enriched in metabolism. Besides, a TFs-miRNA-mRNA network, including 35 TFs, 12 miRNAs and 84 mRNAs, was constructed. Ultimately, the functional enrichment analysis showed that the TFs-miRNA-mRNA network mainly related to microtubule pathway, apoptotic signaling pathway and PI3K-Akt signaling pathway. Furthermore, experimental verification for TFs showed ARNTL, TRIM28, EZH2, BCOR and ASXL1 were sufficiently up-regulated in TGF-β1 treatment groups, while BCL6, BHLHE40, FOXA1 and EGR1 were significantly down-regulated. Conclusions: The novel TFs-miRNA-mRNA network that we constructed could provide new insights into the underlying molecular mechanisms of IPF. ARNTL, TRIM28, EZH2, BCOR, ASXL1, BCL6, BHLHE40, FOXA1 and EGR1 may play important role in IPF and become effective biomarker for diagnosis and treatment.
Computed tomography texture analysis for the prediction of lateral pelvic lymph node metastasis of rectal cancer
Authors: Nakao Toshihiro , Shimada Mitsuo , Yoshikawa Kozo , Tokunaga Takuya , Nishi Masaaki , Kashihara Hideya , Takasu Chie , Wada Yuma , Yoshimoto Toshiaki 
Published: May 2022

Abstract
Purpose
This study aimed to investigate the usefulness of computed tomography (CT) texture analysis in the diagnosis of lateral pelvic lymph node (LPLN) metastasis of rectal cancer.
Methods
This was a retrospective cohort study of 45 patients with rectal cancer who underwent surgery with LPLN dissection at Tokushima University Hospital from January 2017 to December 2021. Texture analysis of the LPLNs was performed on preoperative CT images, and 18 parameters were calculated. The correlation between each parameter and pathological LPLN metastasis was evaluated. The texture parameters were compared between pathologically metastasis-positive LPLNs and metastasis-negative LPLNs.
Results
A total of 40 LPLNs were extracted from preoperative CT scans of 45 patients and analyzed by texture analysis. Pathologically metastasis-positive LPLNs had significantly lower mean Hounsfield unit, gray-level co-occurrence matrix (GLCM) Energy, and GLCM Entropy_log2 values, and a significantly larger volume than pathologically metastasis-negative LPLNs. Multivariate analysis revealed that the independent predictive factors for LPLN metastasis were volume (a conventional parameter) and GLCM Entropy_log2 (a texture parameter). The combination of both parameters improved the diagnostic specificity while maintaining the sensitivity compared with each parameter alone.
Conclusion
Combining CT texture analysis with conventional diagnostic imaging may increase the accuracy of the diagnosis of LPLN metastasis of rectal cancer.
Prognostic Significance and Immunometabolism Landscapes Analysis of a Novel Lipid Metabolism-Related Gene Signature in Extrahepatic Metastasis of Hepatocellular Carcinoma.
Authors: Sun Hongfa , Wang Youpeng , Wu Tiansong , Yang Yeni , Zhao Ziyin , Zhang Xuhui , Zhu Wuhui , Han Bing 
Published: May 2022

Abstract
Background: With the progress of hepatocellular carcinoma (HCC) treatment methods, the incidence rate of extrahepatic metastasis (EHM) of HCC has increased, which has a significant impact on patient prognosis. Lipid metabolism reprogramming has emerged as an important feature of HCC. However, the prognostic potential of lipid metabolism-related genes in EHM of HCC has not been comprehensively studied.Methods: Sixty-five metastasis-related differentially expressed genes (DEGs) were obtained from the GEO database. HCC patients in the TCGA database were used as the training cohort for hierarchical clustering, and specimens in the ICGC database were used as the validation cohort. Enrichment analysis was performed by GO, KEGG, and GSEA, and the validated lipid metabolism score methods were used to evaluate lipid metabolism levels. A LASSO regression model was applied to select prognostic genes and construct the LMRMS. The CIBERSORT algorithm and ssGSEA were used to estimate immune infiltration. qPCR and Western blotting were used to detect expression levels of the target genes.Results: First, we obtained two metastasis risk subtypes. The high metastasis risk group had a high lipid metabolism score and poor survival prognosis. Enrichment analysis showed that there were significant differences in a variety of lipid metabolism and drug metabolism pathways between the two subtypes. We further established an LMRMS. Immune infiltration showed different immune landscapes between the two subtypes. The LMRMS can effectively predict overall survival (OS), lipid metabolism level, different immune landscapes, and immunotherapy response and was well verified in the validation cohort. In vitro experiments confirmed that gene expression in the LMRMS was closely related to lipid metabolism, which is worthy of further study.Conclusions: We first studied the prognostic significance and immunometabolic landscape of lipid metabolism-related genes in EHM of HCC. We propose an LMRMS, which can provide vital guidance for early identification of high-risk EHM patients and individualized immunotherapy for patients with EHM of HCC.
Genome-Wide Association Study of CYP3A4 and CYP3A5 genes in relation to the risk of Prostate Cancer among Bangladeshi population
Authors: Bellah Sm Faysal , Salam Md. Abdus , Billah S M Saker , Karim Md Rezaul , Bellah Sm Faysal 
Published: May 2022

Abstract
ObjectivesCYP3A4 and CYP3A5 are biologically potential genes responsible for prostate cancer, but very few studies have reported on Bangladeshi population. Materials and methodsWeb-based bioinformatics tools were used to assessed the association of CYP3A4 and CYP3A5 genes with prostate cancer risks. A case-control study was also approved on 210 prostate cancer cases and 207 controls to determine the allelic variants of the CYP3A4 gene- rs2740574 (CYP3A4*1B) and the variant of CYP3A5 gene-rs776746 (CYP3A5*3) using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP). The risk of prostate cancer was estimated as odds ratio (OR) and 95% confidence interval (CI) using unrestricted logistic regression models.ResultIn case of CYP3A4*1B polymorphism, the heterozygote (*1A/*1B), mutant (*1B/*1B), and combined heterozygote plus mutant (*1A/*1B+*1B/*1B) genotypes showed 3.52-fold (OR= 3.52, 95% CI= 1.38 to 9.02, p= 0.0086), 3.90-fold (OR= 3.90, 95%CI= 1.26 to 12.05, p= 0.0183) and 3.67-fold (OR= 3.67, 95%CI= 1.76 to 7.67, p= 0.0005) increased risk of prostate cancer, respectively. The variant CYP3A4*1B allele was significantly associated with an increased risk of prostate cancer (OR= 3.60, 95%CI= 1.95 to 6.65, p=0.0001). In case of CYP3A5*3 polymorphism, the heterozygote (*1/*3), mutant (*3/*3) and combined (*1/*3+*3/*3) genotypes were found to be significantly associated with 5.11-, 5.49-, and 5.28-fold greater risk of prostate cancer, respectively (OR= 5.11, 95%CI= 2.54 to 10.31, p= 0.0001; OR= 5.49, 95%CI= 2.45 to 12.28, p= 0.0001; OR= 5.28, 95% CI= 2.65 to 10.50, p= 0.0001, respectively). The variant CYP3A5*3 allele revealed significant association with increased susceptibility to prostate cancer (OR= 4.78, 95%CI= 3.05 to 7.48, p= 0.0001).ConclusionOur results indicate that CYP3A4*1B and CYP3A5*3 are significantly associated with increased prostate cancer risk.