bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of senescence-related changes between three- and two-dimensional cultured adipose-derived mesenchymal stem cells
Authors: Yin Qiliang , Xu Na , Xu Dong sheng , Dong Ming xin , Shi Xiu min , Wang Yan , Hao Zhuo , Zhu Shuang shuang , Zhao Dong hai , Jin Hao fan , Liu Wen sen 
Published: February 2020

Abstract
Background: Adipose-derived mesenchymal stem cells ( ADMSCs ) have attracted widespread interest as cell-based tissue repair systems. To obtain adequate quantities of ADMSCs for therapeutic applications, extensive in vitro expansion is required. However, under current two-dimensional (2D) approaches , ADMSCs rapidly undergo replicative senescence , and cell growth is impeded and stem cell properties are eliminated by mechanisms that are poorly understood . These issues limit the extensive applications of ADMSCs . In this study, we investigated senescence-related changes in mesenchymal stem cells (MSCs) isolated from human adipose tissue in 2D and three-dimensional (3D) cultures. Methods: We studied cell growth over a given period (21 days) to determine if modes of culture were associated with ADMSCs senescence. ADMSCs were isolated from healthy females by liposuction surgery and then were grew in 2D and 3D cultures. The cell morphology was observed during cell culture. Every other time of culture, senescence-associated β-galactosidase (SA-β-gal) expression, cell viability, and differentiation potential of ADMSCs from 2D and 3D cultures were detected. Also, senescence and stemness related genes expression, telomere length, telomerase activity, and energy metabolism of ADMSCs for different culture time were evaluated. Results: With long-term propagation, we observed significant changes in cell morphology, proliferation, differentiation abilities and energy metabolism, which were associated with increases in SA-β-gal activity, and decreases in telomere length and activity . Notably, when cultured in 3D, these changes were improved. Conclusions: Our results indicate that 3D culture is able to ameliorate senescence-related changes in ADMSCs.
“Moving forward with life’: Perceived acceptability and benefits of a brief alcohol-focused intervention for people receiving antiretroviral therapy in South Africa.
Authors: Myers Bronwyn , Parry Charles , Morojele Neo , Nkosi Sebenzile , Shuper Paul , Kekwaletswe Connie , Sorsdahl Katherine 
Published: February 2020

Abstract
Background: In South Africa, like other low-and middle-income countries, interventions are needed to address the impact of hazardous drinking on adherence to antiretroviral therapy among people living with HIV (PLWH). Participant feedback about these interventions can identify ways to enhance their acceptability and potential impact. As part of a randomized controlled trial of a brief motivational interviewing and problem-solving therapy (MI-PST) intervention among PLWH who report hazardous drinking, we interviewed participants about their perceptions of this alcohol-reduction intervention.Methods: The trial was conducted in HIV treatment clinics operating from 6 hospitals in the Tshwane region of South Africa. In the trial, 305 participants were randomly assigned to the intervention comprising four modules of MI-PST delivered over two sessions. We conducted qualitative in-depth interviews of participants’ views about the acceptability and usefulness of the intervention for facilitating behaviour change on completion of the last intervention session and at the six-month study end-point. Twenty-four participants were interviewed after the final intervention session and 25 at the six-month follow up. Data were analysed using the framework approach. Results: Three themes emerged from the interviews that reflect participants’ perceptions of the acceptability and usefulness of this intervention. The first theme describes participants’ perceptions of the acceptability of screening and brief alcohol-focused interventions for PLWH. The second theme describes participants’ views of the usefulness of the intervention for reducing alcohol use and addressing life stressors. The third theme reflects participants’ views on how the intervention could be modified for greater reach and impact.Conclusion: Findings suggest that participants considered this intervention to be acceptable and useful for facilitating reductions in alcohol consumption. This study is the first to describe how PLWH applied the skills taught in the MI-PST intervention to manage and cope with daily problems instead of drinking heavily.
Identification of grade-specific diagnostic and prognostic biomarkers of key candidate genes and pathways in breast cancer by integrated bioinformatics analysis
Authors: Zhang HanYu , Zhou XiuLing , Zhang XiaoMing , Yu ZhongYu , Wang JianTao , Guo XinYu , Hu Yue , GUO JingChun , Tao YingHong , Zhou HouGuang 
Published: February 2020

Abstract
Purpose: Breast cancer (BC) is the most common malignant tumor in women. Due to the mechanism of BC has not yet been completely clear, we aim to identify the key pathway and genes in BC based on bioinformatics method. Methods: Samples were obtained from NCBI-GEO website. Then, GEO2R tools and Venn diagram software were used to identify the differentially expressed genes (DEGs). Next, analyze Kyoto Encyclopedia of Gene and Genome (KEGG) pathway and gene ontology (GO) were analyzed by Database for Annotation, Visualization and Integrated Discovery (DAVID). The protein-protein interaction (PPI) network was drew by Search Tool for the Retrieval of Interacting Genes (STRING). Afterwards, we selected the core genes from PPI network by Molecular Complex Detection (MCODE) plug-in. And we performed Kaplan-Meier analysis to assess the overall survival of the core genes. Last Gene Expression Profiling Interactive Analysis (GEPIA) was used to discover highly expressed genes in BC. Results: DEGs contained 23 up-regulated and 32 down-regulated genes. GO described molecular function (MF), cellular component (CC), and biological process (BP). KEGG pathway showed DEGs were mainly involved in ECM-receptor interaction, p53 signaling pathway, PPAR signaling pathway, signaling pathways regulating pluripotency of stem cells, cGMP-PKG signaling pathway and Tyrosine metabolism. Finally, we screened 15 core genes, 14 of which had adverse prognosis and high expression in BC. Conclusions: In the current study, 14 core genes of BC were identified based on bioinformatics method, which could useful to provide essential information for early diagnosis and treatment of BC.
Whole transcriptome analyis of human lung tissue to identify COPD-associated gene
Authors: Zhu Yizhang , Li Qiuyu , Zhou Aiyuan , Racanelli Alexandra C. , Choi Augustine M.K. , Yin Yuxin 
Published: February 2020

Abstract
Background: Chronic obstructive pulmonary disease (COPD) is a common disease characterized by persistent respiratory symptoms and airflow restriction. The mechanisms underlying pathogenesis in COPD are still poorly understood. Identification of the dysfunctional genes in human lung from patients with Chronic obstructive pulmonary disease (COPD) will help up to understand the pathology of this disease. To identify the dysfunctional genes in human lung from patients with Chronic obstructive pulmonary disease (COPD). We used transcriptomic data of lung tissue for 91 COPD cases and 182 matched healthy controls from the Genotype-Tissue Expression (GTEx) database. We employed a stringent model controlling for known covariates and hidden confounders. DESeq2 R package (v1.20.0) was used to test for differential expression.Results: We identified 1,359 significant differentially expressed genes (DEG) with 707 upregulated and 602 downregulated respectively. We evaluated the identified DEGs in an independent microarray cohort of 219 COPD and 108 controls, demonstrating the robustness of our result. Functional annotation of COPD-associated genes highlighted the activation of complement cascade, dysregulation of inflammatory response and extracellular matrix organization in the COPD patients. In addition, we identified several novel key-hub genes involved in the COPD pathogenesis using a network analysis method.Conclusion: In summary, our study represents the comprehensive analysis of gene expression on COPD with the largest sample size, providing great resource for the molecular research in the COPD community.
Identification of Potential Crucial Genes in Atrial Fibrillation: A Bioinformatic Analysis
Authors: Zhang Junguo , Huang Xin , Wang Xiaojie , Gao Yanhui , Liu Li , Li Ziyi , Chen Xuejiao , Zeng Jie , Ye Zebing , Li Guowei 
Published: February 2020

Abstract
Background Atrial fibrillation (AF) is clearly heritable, affecting 2-3% of the population in Europe and the USA. However, a substantial proportion of heritability is still lacking. In the present study, we aim to identify potential crucial genes associated with AF through bioinformatic analyses of public datasets.Methods Microarray data sets of GSE115574, GSE31821, GSE79768, GSE41177 and GSE14975 from the Gene Expression Omnibus (GEO) database were enrolled. After merging all microarray data and adjusted batch effect, differentially expressed genes (DEGs) were identified. Functional enrichment analyses based on Gene Ontology (GO) resource, Kyoto Encyclopedia of Genes and Genomes (KEGG) resource, Gene Set Enrichment Analysis (GSEA), Reactome Pathway Database and Disease Ontology (DO) were carried out for DEGs. Protein-protein interaction (PPI) network was constructed using the STRING database. Combined with aforementioned significant bioinformatics information, potential crucial genes were subsequently selected. The potential crucial genes coupled with corresponding predicted microRNAs involved in AF were then assessed.Result We identified 27 of DEGs with gene expression fold change (FC) ≥ 1.5 and 5 with FC ≥ 2 of AF patients compared with sinus rhythm controls. The most significantly enriched pathway was regulation of insulin-like growth factor transport and uptake by insulin-like growth factor binding proteins. IGFBP2, C1orf105, FHL2, CHGB, ATP1B4, IGFBP3, SLC26A9, CXCR4 and HTR2B were considered the potential crucial genes. Sixteen corresponding predicted microRNAs, of which 5 targeting IGFBP3 and 8 FHL2, might be associated with AF. The comparative toxicogenomics database (CTD) database showed CXCR4, IGFBP2, IGFBP3 and FHL2 had higher scores with AF.Conclusions The 9 potential crucial genes, especially CXCR4, IGFBP2, IGFBP3 and FHL2, may be associated with risk of AF. MicroRNAs targeting IGFBP3 and FHL2 may be potential biomarkers or therapeutic targets for AF. Our study provided new insights of AF into genetics, molecular pathogenesis and new therapeutic targets.
Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques
Authors: Li Hao , Cui Liqian , Cao Liping , Zhang Yizhi , Liu Yueheng , Deng Wenhao , Zhou Wenjin 
Published: February 2020

Abstract
Background Bipolar disorder (BPD) is a common mood disorder that is often goes misdiagnosed or undiagnosed. Recently, machine learning techniques have been combined with neuroimaging methods to aid in the diagnosis of BPD. However, most studies have focused on the construction of classifiers based on single-modality MRI. Hence, in this study, we aimed to construct a support vector machine (SVM) model using a combination of structural and functional MRI, which could be used to accurately identify patients with BPD. Methods In total, 44 patients with BPD and 36 healthy controls were enrolled in the study. Clinical evaluation and MRI scans were performed for each subject. Next, image pre-processing, voxel-based morphometry (VBM), and ReHo analyses were performed. The grey matter volumes or ReHo values of the clusters showed significant differences as discriminant features in the SVM classification model. Based on extracted features, the SVM model was established, and discriminant analysis was performed. Results After using the two-sample t-test with multiple comparisons, 12 clusters with significant differences were extracted from the data. Next, we used both VBM and ReHo data to construct the new SVM classifier, which could effectively identify patients with BPD at an accuracy of 90% in the test data (p=0.0014). Limitations The sample size was small, and we were unable to eliminate the potential effects of medications. Conclusions A combination of structural and functional MRI can be of added value in the construction of SVM classifiers to aid in the accurate identification of BPD in the clinic.
Effect of atorvastatin on AGEs-induced injury of cerebral cortex via inhibiting NADPH oxidase -NF-κB pathway in ApoE-/- mice
Authors: li zhenhan , Yang Peiye , Feng Bo 
Published: February 2020

Abstract
Background There is close association between type 2 diabetes and cognitive impairment. AGEs-RAGE pathway plays critical role to induce neurodegenerative encephalopathy. Statins can reduce the expression of AGEs-induced RAGE in aorta. It is not clear whether statins have potential benefits on AGEs-induced cognitive impairment. In this study, the effects of atorvastatin on inflammation and oxidation stress in cerebral cortex were investigated and the underlying mechanisms were explored. Methods 40 male ApoE-/- mice were randomly divided into four groups: control, AGEs (30mg/kg/day), AGEs (30mg/kg/day) + ALT711 (1mg/kg/day) and AGEs (30mg/kg/day) + ATV (10mg/kg/day). Aβ formation in cerebral cortex was assessed through Congo red staining and the functional state of neurons were evaluated by Nissl's staining. Immunostaining was performed to assess the accumulation of AGEs in the cerebral cortex. The expressions of mRNA and protein of RAGE, NF-κB p65 and NADPH oxidase p47phox were detected by Real-time PCR and Western blot. Results There were significant increases in AGE deposit, Aβ formation and the expressions of RAGE, NF-κB p65 and NADPH oxidase p47phox and decrease in Nissl body in AGEs group compared with control group. ALT711 recovered above change compared with AGEs group. Atorvastatin reduced Aβ formation and suppressed AGEs-induced expressions of NF-κB p65 and NADPH oxidase p47phox. Atorvastatin has little effects on AGE deposit and RAGE expressions. Conclusions Atorvastatin alleviates AGEs-induced neuronal impairment via inhibiting NADPH oxidase-NF-κB pathway and is of benefit in preventing the progression of degenerative encephalopathy.
Long noncoding RNA TTN-AS1 promotes breast cancer cell migration and invasion via sponging miR-140-5p
Authors: Li Yusheng , Wang Fan 
Published: February 2020

Abstract
Objectives Breast cancer (BC) is one of the most ordinary fatal cancers. Recent studies have identified the vital role of long noncoding RNAs (lncRNAs) in the development and progression of BC. In this research, lncRNA TTN-AS1 was studied to identify how it functioned in the metastasis of BC.Methods TTN-AS1 expression of tissues was detected by RT-qPCR in 56 BC patients. Wound healing assay and transwell assay were used to observe the biological behavior changes of BC cells through gain or loss of TTN-AS1. In addition, luciferase assays and RNA immunoprecipitation (RIP) assay were performed to discover the potential targets of TTN-AS1 in BC cells.Results TTN-AS1 expression level in BC samples was higher than that of adjacent ones. Besides, cell migrated ability and cell invaded ability of BC cells were inhibited after TTN-AS1 was silenced. Cell migrated ability and cell invaded ability of BC cells were promoted after TTN-AS1 was overexpressed. In addition, miR-140-5p was upregulated after silence of TTN-AS1 in BC cells, while miR-140-5p was downregulated after overexpression of TTN-AS1 in BC cells. Furthermore, luciferase assays and RNA immunoprecipitation assay (RIP) showed that miR-140-5p was a direct target of TTN-AS1 in BC.Conclusion Our study uncovers a new oncogene in BC and suggests that TTN-AS1 could enhance BC cell migration and invasion via sponging miR-140-5p, which provides a novel therapeutic target for BC patients.
Quality of life in older people with dementia: using nursing staff and family members as proxies
Authors: Schneider Daniel , Winter Vera , Konnopka Alexander 
Published: February 2020

Abstract
Background To assess health-related quality of life (QoL) of nursing home residents with dementia using the nursing staff and the residents’ family members as proxy raters, to determine the level of agreement between both groups, and to analyze how functional independence, the number of challenging behaviors, nursing home suitability, and the rater group influence QoL assessments.Methods Nursing staff and family members assessed residents’ QoL using the short version of the Quality of Life in Dementia (QUALIDEM) instrument. The nursing staff also assessed functional independence and the number of challenging behaviors, while nursing home suitability was assessed by the nursing staff and family members. Multiple linear regressions were run with each QoL dimension as the dependent variable.Results The agreement between nursing staff and family members on the QoL dimensions, for n=53 residents with dementia, was relatively poor, and for each QoL dimension, the reported scores were higher among the nursing staff. Residents’ functional independence and the nursing home suitability were associated with a higher QoL, and more challenging behaviors were associated with a lower QoL, particularly according to the assessments of the nursing staff.Conclusion Including family members as an additional rater group is recommended as a valuable way to discuss and possibly improve quality of care and QoL. Keywords: nursing homes, health-related quality of life, proxy ratings
Learning Attention for Object Tracking with Adversarial Learning Network
Authors: Cheng Xu , Song Chen , Gu Yongxiang , Chen Beijing 
Published: February 2020

Abstract
Artificial intelligence has been widely studied on solving intelligent surveillance analysis and security problems in recent years. Although many multimedia security approaches have been proposed by using deep learning network model, there are still some challenges on their performances which deserve in-depth research. On one hand, high computational complexity of current deep learning methods makes it hard to be applied to real-time scenario. On the other hand, it is difficult to obtain the specific features of a video by fine-tuning the network online with the object state of the first frame, which fails to capture rich appearance variations of the object. To solve above two issues, in this paper, an effective object tracking method with learning attention is proposed to achieve the object localization and reduce the training time in adversarial learning framework. First, a prediction network is designed to track the object in video sequences. The object positions of the first ten frames are employed to fine-tune prediction network, which can fully mine a specific features of an object. Second, the prediction network is integrated into the generative adversarial network framework, which randomly generates masks to capture object appearance variations via adaptively dropout input features. Third, we present a spatial attention mechanism to improve the tracking performance. The proposed network can identify the mask that maintains the most robust features of the objects over a long temporal span. Extensive experiments on two large-scale benchmarks demonstrate that the proposed algorithm performs favorably against state-of-the-art methods.
Quantifying the sources of uncertainty when calculating the limiting flux in secondary settling tanks using iCFD
Authors: Guyonvarch Estelle , Ramin Elham , Kulahci Murat , Plósz Benedek G. 
Published: February 2020

AbstractSolids-flux theory (SFT) and state-point analysis (SPA) are used for the design, operation and control of secondary settling tanks (SSTs). The objectives of this study were to assess uncertainties, propagating from flow and solids loading boundary conditions as well as compression settling behaviour to the calculation of the limiting flux (JL) and the limiting solids concentration (XL). The interpreted computational fluid dynamics (iCFD) simulation model was used to predict one-dimensional local concentrations and limiting solids fluxes as a function of loading and design boundary conditions. A two-level fractional factorial design of experiments was used to infer the relative significance of factors unaccounted for in conventional SPA. To move away from using semi-arbitrary safety factors, a systematic approach was proposed to calculate the maximum SST capacity by employing a factor of 23% and a regression meta-model to correct values of JL and XL, respectively – critical for abating hydraulic effects under wet-weather flow conditions.
Pembelajaran Proyek Berbasis Budaya Lokal untuk Menstimulasi Kecerdasan Majemuk Anak Usia Dini
Authors: Widiastuti Siwi 
Published: February 2020

Anak usia dini bersifat unik dan memiliki potensi yang luar biasa. Kecerdasan dan keterampilan yang dimiliki anak dapat berguna bagi perkembangan dan kehidupan mereka. Suatu stimulasi yang salah dapat mempengaruhi kecerdasan dan keterampilan. Ada beberapa aspek yang mempengaruhi pengalaman anak-anak. Diantaranya lingkungan yang kondusif, aman dan nyaman, sebuah pembelajaran yang menarik, menyenangkan dan menantang, yang menggunakan seluruh panca indera dan tubuh anak. Proses pembelajaran dan pengalaman mempengaruhi perkembangan kecerdasan anak diantaranya adalah dengan pembelajaran berbasis multiple intelligences. Karakteristik pembelajaran yang dipilih adalah proyek pembelajaran berbasis budaya lokal untuk merangsang kecerdasan anak. Pembelajaran ini akan memberikan variasi yang menyenangkan dalam suasana belajar. Pembelajaran proyek adalah sebuah metode yang memberikan anak-anak untuk mengeksplorasi lima indera dan tubuh dalam melakukan aktivitas tertentu dengan menyenangkan. Materi tentang budaya dapat menjadi dasar dalam belajar. Budaya mengajarkan anak-anak tentang nilai-nilai budaya, sehingga mereka memahami lingkungan budaya (budaya lokal). Sebuah perilaku baru dan budaya yang tidak sesuai dengan filosofi Indonesia dapat memberikan dampak yang tidak baik terhadap perkembangan anak usia dini. Permasalahan ini dapat diatasi salah satunya dengan menanamkan nilai-nilai budaya lokal untuk anak usia dini. Kata kunci: Anak Usia Dini, Budaya Lokal, Proyek Pembelajaran, multiple intelligences
PEMANFAATAN LINGKUNGAN SEBAGAI SUMBER BELAJAR ANAK
Authors: ‘Ulum Irfatul 
Published: February 2020

Berawal dari adanya masalah keterbatasan media dan sumber belajar anak, guru memanfaatkan berbagai bahan yang ada di lingkungan sekitar sebagai media dan sumber untuk keberlangsungan kegiatan belajar mengajar.Kegiatan dalam upaya pemanfaatan lingkungan sebagai media dan sumber belajar dilakukan dengan melibatkan para guru, siswa dan orangtua dengan ikut serta dalam pembuatan media serta melibatkan siswa untuk terus aktif dalam pelaksanaan KBM.Akibat dari proses KBM dengan memanfaatkan lingkungan adalah masalah keterbatasan media dan sumber belajar dapat teratasi serta anak dapat berperan aktif dalam terlaksananya kegiatan belajar mengajar. Kata Kunci: manfaat lingkungan, sumber belajar anak