bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green Hydrogen Separation from Nitrogen by Mixed‐Matrix Membranes Consisting of Nanosized Sodalite Crystals
Authors: Yang Ge , Guo Hailing , Kang Zixi , Zhao Lei , Feng Shou , Jiao Feng , Mintova Svetlana 
Published: December 2018

AbstractNanosized sodalite (Nano‐SOD) crystals were used as active filler to prepare mixed‐matrix membranes (MMMs) for promoting the H2/N2 gas‐separation performance. The Nano‐SOD crystals with extremely small crystallites (40–50 nm) were synthesized from a colloidal suspension free of organic structural directing agent and uniformly dispersed in the polyetherimide (PEI) matrix. The Nano‐SOD filler with a suitable aperture size (2.8 Å) allowed only H2 molecules to pass through and rejected the N2, thus improving the selectivity of the membranes. The high dispersion of Nano‐SOD crystals in the polymer matrix and the interactions between the inorganic and organic phases greatly improved the membrane separation performance and minimized interfacial holes. The MMMs showed a high H2 permeability (≈7155.1 Barrer at 25 °C under atmospheric pressure) and an ideal H2/N2 selectivity factor of approximately 16.9 in a single gas test. Moreover, in a gas mixture (H2/N2, 25–100 °C), the selectivity factor increased significantly to approximately 30.9. The high stability of the MMMs, which consist of highly dispersed Nano‐SOD crystals in a PEI matrix for H2/N2 separation (6 weeks continuous test), makes them an important material for ammonia synthesis applications that require and also release a large amount of H2.
An amoeboid approach for identifying optimal citation flow in big scholarly data network
Authors: J P Nivash , L D Dhinesh Babu 
Published: December 2018

SummaryScholarly big data network is a complex network of citations from research community across the globe. An effective scholar assessment structure is essential for scholars, researchers, and universities. The research publications are an important factor in the university rankings. The fast growth of digital publishing and scholarly data is progressively challenging every day. These days, the scholarly data can be accessed effortlessly through various data analysis techniques. In this paper, a new framework is designed for big scholarly data, and an amoeboid approach article‐optimal citation flow (A‐OCF) is used to find the optimal flow of citations in the big scholarly data network. A novel modern metrics for article quality (MMAQ) metric is proposed to identify the quality of articles. The performance analysis uses different bibliometric measures, including the impact factor citations, conference proceedings citations, and other citations with the purpose of measuring the quality of cited articles. The scholar analytic results are equated with existing techniques. We have also analyzed central articles in a research area through the MMAQ metrics and tested it with benchmark data sets.
Coping with unpleasant group memberships in Japan and Germany: Cultural differences in disidentification, confrontation and emotion regulation
Authors: Bierle Isabel , Becker Julia C. , Ikegami Tomoko 
Published: December 2018

AbstractDisidentification, the psychological distancing from unpleasant group memberships, has mainly been studied in individualistic societies. We tested whether disidentification is a coping strategy to deal with conflicts in small and large groups, in Japan and Germany. Study 1 (N = 79) illustrates that Japanese recalled more unpleasant situations related to small than large groups. Study 2 (N = 198) confirms that Japanese, but not German students’ disidentification varied with group size and was stronger after small‐group conflict. Study 3 (N = 132) shows that anger was related to disidentification in Japan but to confrontation in Germany. Study 4 (N = 335) shows that, after group conflict, Japanese felt relieved when imagining to disidentify, whereas Germans felt relieved when imagining to confront the source of conflict. Combining correlational and experimental designs with culture‐sensitive situation sampling, we show that disidentification exists as a psychological construct across cultures, albeit serving different psychological functions.
Production of anti‐inflammatory compounds in Sphaeralcea angustifolia cell suspension cultivated in stirred tank bioreactor
Authors: Pérez‐Hernández Juanita , Nicasio‐Torres María del Pilar , Sarmiento‐López Luis Gerardo , Rodríguez‐Monroy Mario 
Published: December 2018

AbstractSphaeralcea angustifolia is a plant used for the treatment of inflammatory processes. Scopoletin, tomentin, and sphaeralcic acid were identified as the compounds with anti‐inflammatory and immunomodulatory effects. Successful establishment of the cell culture in Erlenmeyer flasks has been reported previously. The aim of this study was to evaluate the ability of cells in suspension from S. angustifolia grown in a stirred tank bioreactor and demonstrate their capacity to produce bioactive compounds. Cells in suspension grown at 200 rpm reached a maximal cell biomass in dry weight at 19.11 g/L and produced 3.47 mg/g of sphaeralcic acid. The mixture of scopoletin and tomentin was only detected at the beginning of the culture (12.13 μg/g). Considering that the profile of dissolved oxygen during the cultures was lesser than 15%, it is possible that the low growth at 100 rpm could be due to oxygen limitations or to cell sedimentation. At 400 rpm, a negative effect on cell viability could be caused by the increase in the hydrodynamic stress, including the impeller tip, average shear rate, and Reynolds number. The sphaeralcic acid content in the cell suspension of S. angustifolia obtained in the bioreactor was two orders of magnitude greater than that reported for the culture grown in Erlenmeyer flasks.
On the number of records for structural risk estimation in PBEE
Authors: Baltzopoulos Georgios , Baraschino Roberto , Iervolino Iunio 
Published: December 2018

SummaryResponse‐history nonlinear dynamic analysis is an analytical tool that often sees use in risk‐oriented earthquake engineering applications. In the context of performance‐based earthquake engineering, dynamic analysis serves to obtain a probabilistic description of seismic structural vulnerability. This typically involves subjecting a nonlinear numerical computer model to a set of ground‐motions that represent a sample of possible realizations of base acceleration at the site of interest. The analysis results are then used to calibrate a stochastic model that describes structural response as a function of shaking intensity. The sample size of the ground‐motion record set is nowadays usually governed by computation‐demand constraints, yet it directly affects the uncertainty in estimation of seismic response. The present study uses analytical and numerical means to investigate the record sample size, n, required to achieve quantifiable levels of mean relative estimation error on seismic risk metrics. Regression‐based cloud analysis in the context of Cornell's reliability method and incremental dynamic analysis using various intensity measures were employed to derive a relation of the form
, where Δ is a parameter that depends on both the dispersion of structural responses and the shape of the hazard curve at the site. For the cases examined, n can be kept in the 40 to 100 range and achieve 10% mean relative error. The study can contribute to guide engineers towards an informed a‐priori assessment of the number of records needed to achieve a desired value for the coefficient of variation of the estimator of structural seismic risk.
Behavior of I4σ(4c–6e) in tellurolane system and related species, elucidated by QTAIM dual functional analysis with QC calculations
Authors: Hayashi Satoko , Nishide Taro , Nakanishi Waro 
Published: December 2018

AbstractThe nature of theAI‐*‐AI andAI‐*‐BI interactions inBI‐*‐AI‐*‐AI‐*‐BI of I4σ(4c–6e) in the tellurolane system, C4H8(I)Te–I···I–I···I–Te(I)C4H8(1), and the models is elucidated with QTAIM dual functional analysis (QTAIM‐DFA). Asterisks (*) are employed to emphasize the existence of bond critical points (BCPs) on the interactions in question. Data from the fully optimized structures correspond to the static nature. Data from the perturbed structures around the fully optimized ones with the fully optimized structures represent the dynamic nature of interactions in QTAIM‐DFA. TheAI‐*‐AI andAI‐*‐BI interactions in the optimized structure of1(Ci)calcdare predicted to have the Cov‐w (weak covalent) nature appeared in the shared shell region and thet‐HBwc(typical hydrogen bonds with covalency) nature appeared in the regular closed shell (r‐CS) region, respectively. However, bothAI‐*‐AI andAI‐*‐BI interactions in the observed structure in crystals (1(Ci)obsd) appear in ther‐CS region. The isolated structure of only one molecule in vacuum for1(Ci)calcdvs that surrounded by the same molecules for1(Ci)obsdarises the different results. The nature ofAI‐*‐AI andAI‐*‐BI inBI‐*‐AI‐*‐AI‐*‐BI of I4σ(4c–6e) for the models is similarly analyzed.
Synthesis of novel fluorous pyridinium ionic liquids
Authors: Honda Mitsunori , Ashizawa Kohei , Kunimoto Ko‐Ki , Segi Masahito 
Published: December 2018

AbstractThe synthesis of a novel class of fluorous ionic liquids was investigated. The 2,6‐diperfluoroalkyl‐substituted pyridinium salts 2b‐f were solids at ambient temperature and insoluble in perfluoromethylcyclohexane. The addition of much further fluorous alkyl group to nitrogen atom of 2,6‐disubstituted pyridines 1 did not proceed to afford the pyridinium salts 3 having two or three perfluoroalkyl groups. On the other hand, the reaction of 3,5‐diperfluoroalkyl‐substituted pyridine 4 with perfluoroalkyl iodide proceeded to give N‐perfluoroalkylpyridinium salts 6a and 7a in good yields. Furthermore, the addition of tris(perfluoroalkyl)silylpropyl iodide afforded the corresponding pyridinium salt 8a excellently. The anion exchange of the resulting iodides gave the ionic liquids with high fluorophilicity.
Vitamin E: Regulatory Role on Signal Transduction
Authors: Zingg Jean‐Marc 
Published: December 2018

AbstractVitamin E modulates signal transduction pathways by several molecular mechanisms. As a hydrophobic molecule located mainly in membranes it contributes together with other lipids to the physical and structural characteristics such as membrane stability, curvature, fluidity, and the organization into microdomains (lipid rafts). By acting as the main lipid‐soluble antioxidant, it protects other lipids such as mono‐ and poly‐unsaturated fatty acids (MUFA and PUFA, respectively) against chemical reactions with reactive oxygen and nitrogen species (ROS and RNS, respectively) and prevents membrane destabilization and cellular dysfunction. In cells, vitamin E affects signaling in redox‐dependent and redox‐independent molecular mechanisms by influencing the activity of enzymes and receptors involved in modulating specific signal transduction and gene expression pathways. By protecting and preventing depletion of MUFA and PUFA it indirectly enables regulatory effects that are mediated by the numerous lipid mediators derived from these lipids. In recent years, some vitamin E metabolites have been observed to affect signal transduction and gene expression and their relevance for the regulatory function of vitamin E is beginning to be elucidated. In particular, the modulation of the CD36/FAT scavenger receptor/fatty acids transporter by vitamin E may influence many cellular signaling pathways relevant for lipid homeostasis, inflammation, survival/apoptosis, angiogenesis, tumorigenesis, neurodegeneration, and senescence. Thus, vitamin E has an important role in modulating signal transduction and gene expression pathways relevant for its uptake, distribution, metabolism, and molecular action that when impaired affect physiological and patho‐physiological cellular functions relevant for the prevention of a number of diseases. © 2018 IUBMB Life, 71(4):456–478, 2019
Rapid endothelialization and controlled smooth muscle regeneration by electrospun heparin‐loaded polycaprolactone/gelatin hybrid vascular grafts
Authors: Shi Jie , Chen Siyuan , Wang Lina , Zhang Xiangyun , Gao Jingchen , Jiang Li , Tang Di , Zhang Lin , Midgley Adam , Kong Deling , Wang Shufang 
Published: December 2018

AbstractThe bioinert characteristic of polycaprolactone (PCL) remains a major defect when using PCL‐based materials as small‐diameter vascular grafts for implantation in vivo. To improve the hydrophilicity, cytocompatibility, and biodegradation of PCL vascular grafts, we constructed hybrid vascular grafts from electrospun PCL/gelatin. The PCL/gelatin hybrid vascular graft was further functionalized with the addition of heparin, to improve hemocompatibility. This study investigated the performance of heparin‐loaded PCL/gelatin hybrid vascular grafts in vivo. Our results showed that the combination of gelatin and PCL was an effective approach to overcome each individual component's shortcomings, in the context of vascular graft generation. Furthermore, by loading heparin onto the grafts, thrombosis, which could be otherwise induced by gelatin, was prevented. Overall, our electrospun heparin‐loaded PCL/gelatin vascular grafts promoted endothelialization and regulated smooth muscle regeneration. The data presented here show PCL/gelatin and heparin‐loaded vascular grafts as an effective biomaterial candidate for the generation of artificial small‐diameter vascular grafts. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B: 2040–2049, 2019.
Long noncoding RNA MEG3 inhibits breast cancer growth via upregulating endoplasmic reticulum stress and activating NF‐κB and p53
Authors: Zhang Yan , Wu Jiang , Jing Hong , Huang Gui , Sun Zhulei , Xu Shouming 
Published: December 2018

AbstractLong noncoding RNA (lncRNA) maternally expressed 3 (MEG3) has been implicated as a tumor suppressor gene in several human cancer types. However, little is known regarding its involvement and potential mechanism in human breast cancer. In this study, we explored the effect of MEG3 on the growth of human breast cancer cell line MDA‐MB‐231 in vitro and in vivo, and sought to elucidate the potential signaling mechanisms. Ectopic overexpression of MEG3 using a lentiviral vector Lv‐MEG3 significantly inhibited breast cancer cell growth in vitro and a cancer xenograft growth in vivo. MEG3 overexpression led to marked increase of apoptosis in breast cancer cells as determined using flow cytometry and fragmented DNA labeling. Moreover, ectopic expression of MEG3 increased the expression of endoplasmic reticulum (ER) stress–related proteins required for unfolded protein response, including glucose‐regulated protein 78 (GRP78), inositol‐requiring enzyme 1 (IRE1), protein kinase RNA (PKR)‐like ER kinase (PERK), and activated transcription factor 6 (ATF6), as well as proapoptotic proteins CCAAT/enhancer binding protein homologous protein (CHOP) and caspase‐3. Finally, MEG3 overexpression markedly increased nuclear factor κB (NF‐κB) expression, NF‐κB translocation to the nucleus, and p53 expression, whereas pharmacological inhibition of NF‐κB completely abolished MEG3‐induced activation of p53. Together, these results suggest that MEG3 inhibits breast cancer growth and induces breast cancer apoptosis, partially via the activation of the ER stress, NF‐κB and p53 pathways, and that NF‐κB signaling is required for MEG3‐induced p53 activation in breast cancer cells. Our results indicate targeting lncRNA MEG3 may represent a novel strategy for breast cancer therapy.
HSP90 inhibitor 17‐AAG prevents apoptosis of cardiomyocytes via miR‐93–dependent mitigation of endoplasmic reticulum stress
Authors: Guo Jingjing , Li Shengnan , Li Yanming , Yan Chenyun , Wan Qilin , Wang Zhizhong 
Published: December 2018

AbstractHeart failure accounts for substantial morbidity and mortality worldwide. Accumulating evidence suggests that aberrant cardiac cell death caused by endoplasmic reticulum stress (ERS) is often associated with structural or functional cardiac abnormalities that lead to insufficient cardiac output. The detailed molecular mechanism underlying the pathological death of cardiomyocytes still remains poorly understood. We found that 17‐AAG (tanespimycin), an HSP90 (heat shock protein 90) inhibitor often used to kill cancer cells, could potently inhibit tunicamycin‐induced ERS and the downstream nuclear factor kappa B activity in neonatal rat cardiomyocytes, leading to diminished apoptotic signaling and thus enhanced cell survival. Interestingly, the antiapoptotic effect of 17‐AAG on cardiomyocytes required normal expression of miR‐93, an oncogenic microRNA known to promote cell survival and growth. Our study implicated a new pharmacological role of 17‐AAG in supporting the miR‐93–associated oncogenic signaling to prevent the pathological death of cardiomyocytes. The results opened opportunities for exploring new strategies in the development of therapeutic agents.
MEG3 affects the progression and chemoresistance of T‐cell lymphoblastic lymphoma by suppressing epithelial‐mesenchymal transition via the PI3K/mTOR pathway
Authors: Deng Rui , Fan Fang‐Yi , Yi Hai , Liu Fang , He Guang‐Cui , Sun Hao‐Ping , Su Yi 
Published: December 2018

AbstractLong noncoding RNAs (lncRNA) are emerging as integral functional and regulatory components in the development of different diseases including cancer. Maternally expressed gene 3 (MEG3), is a lncRNA, that has a depressed expression in multiple tumor types, including T‐cell lymphoblastic lymphoma (T‐LBL). However, the molecular mechanisms that regulate the tumorigenic functions of MEG3 in T‐LBL remain largely unknown. In this study, we aimed to discover and identify the function of MEG3 in T‐LBL tumorigenesis, epithelial‐mesenchymal transition (EMT) and drug resistance, and explore their mechanisms of action. Knockdown MEG3 promoted the proliferation, migration, invasion, and drug resistance of T‐LBL cells while overexpression of MEG3 gets the opposite results. The mechanism study showed that decreased MEG3 expression in T‐LBL cells could activate PI3K/mTOR signaling pathways, increase the expression of p‐glycoprotein and affect the expression of EMT markers for transforming to mesenchymal cells in vitro and in vivo. Together, these results indicate that MEG3 could inhibit the migration, invasion, and drug resistance in T‐LBL cells by suppression of the PI3K/mTOR pathway. MEG3 might be a potential target, through which poor prognosis with high recurrence and drug resistance of T‐LBL in a clinical setting could be reversed.
Clinical observation of the reduced glutathione in the treatment of diabetic chronic kidney disease
Authors: Zuo Man‐hua , Tang Jun , Xiang Miao‐miao , Long Qing , Dai Jian‐ping , Yu Guo‐dan , Zhang Hua‐guo , Hu Hui 
Published: December 2018

AbstractBackgroundDiabetic chronic kidney disease (CKD) has become the main cause of death in diabetic patients, but its pathogenesis has not yet been clear.ObjectiveTo investigate the effects of reduced glutathione (GSH) on oxidative stress (OS), angiogenesis factors and lymphocyte subsets in diabetic CKD patients.MethodsA total of 130 subjects were retrospectively studied. The subjects were divided into the control group (45 cases), treatment group (45 cases, treated with reduced GSH), and a healthy control group (40 cases). The levels of superoxide dismutase (SOD), advanced oxidation protein products (AOPP), malondialdehyde (MDA), endostatin (ES), and vascular endothelial growth factor (VEGF), and the percentages of lymphocyte subsets were detected.ResultsAfter treatment, the indexes of OS and angiogenesis and the percentage of CD3−CD19+B cells were obviously decreased, and the percentages of T cell subsets and natural killer (NK) cell subsets were markedly increased in the treatment group compared with the control group. AOPP was positively correlated with angiogenesis indexes, MDA and CD3−CD19+B cells, and negatively correlated with SOD and other lymphocyte subsets. SOD was inversely associated with angiogenesis indexes and MDA, and positively associated with lymphocyte subsets. Moreover, MDA had a positive correlation with angiogenesis indexes, B and T cell subsets, and a negative correlation with NK cell subsets. AOPP, MDA, SOD, VEGF, CD3+T cells, CD3+CD8+T cells, CD3−CDl6+CD56+NK cells, and CD3−CDl6+CD56+NK T cells were the risk factors of diabetic CKD.ConclusionGSH could inhibit OS and abnormal angiogenesis, and improve cellular immune response in CKD patients.
An 11‐gene‐based prognostic signature for uveal melanoma metastasis based on gene expression and DNA methylation profile
Authors: Li Yang , Yang Xuan , Yang Jingyan , Wang Heng , Wei Wenbin 
Published: December 2018

AbstractUveal melanoma (UM) is the most common intraocular tumor worldwide. We proposed to identify a vital gene signature that has prognostic value for UM metastasis. For this purpose, we obtained a published DNA methylation and gene expression data set associated with UM from the Gene Expression Omnibus. The genes whose aberrant expression significantly associated with UM patients’ metastasis‐free survival (MFS) were identified by applying a univariate Cox proportional hazards model to the gene expression data set followed by a robust likelihood‐based survival analysis to screen the optimal prognostic gene signatures (PGS). A formula for calculating the risk score that represents UM metastasis risk was constructed by including the PGSs’ expression values weighted by their regression coefficients, which were obtained by a multivariate Cox regression analysis. As a result, aberrant expression of 2884 genes were found to be significantly associated with UM patients’ MFS, which were referred to as MFSGs, and 11 out of those MFSGs, GJC1, TCEA1, MFSD3, FAF2, TLCD1, GPAA1, CYC1, ASAP1, JPH1, LDB3, and KDELR3, were identified as PGSs through which we could accurately separate UM samples with shorter MFS from those with longer MFS. By combining the DNA methylation data set and MFSGs, we further identified 265 MFSGs, which contained CpG sites that significantly hyper‐ or hypo‐methylated in UM samples compared with control samples. Functional enrichment analysis and pathway crosstalk analysis of those genes indicated significant enrichment of cancer‐related pathways. In conclusion, we identified an 11‐gene‐based prognostic signature and several gene biomarkers for UM metastasis, which should be helpful for selecting an appropriate treatment method for specific patients with UM.
Downregulation of lnRNA‐NEF is involved in the postoperative cancer distant recurrence in prostate carcinoma patients
Authors: Wan Xiaodong , Xiang Jun , Zhang Qimin , Bian Cuidong 
Published: December 2018

AbstractLnRNA‐NEF has characterized functionality only in liver cancer. In the present study, we observed that plasma lnRNA‐NEF was downregulated, while plasma transforming growth factor‐β1 (TGF‐β1) was upregulated in patients with early‐stage prostate carcinoma (PC) than in healthy controls. The levels of plasma lnRNA‐NEF and plasma TGF‐β1 were inversely correlated in patients with PC but not in healthy controls. After surgical resection, the follow‐up was performed for 5 years. It was observed that lnRNA‐NEF was further decreased in patients with distant recurrence (DR), but not in patients with local recurrence and nonrecurrence. lnRNA‐NEF overexpression caused inhibited TGF‐β1 expression in cells of PC cell lines, while TGF‐β1 overexpression failed to affect lnRNA‐NEF expression. LnRNA‐NEF overexpression inhibited, while the TGF‐β1 overexpression promoted the migration and invasion of cells of PC cell lines. TGF‐β1 overexpression partially rescued the inhibited migration and invasion of cells of PC cell lines caused by the lnRNA‐NEF overexpression. Therefore, the downregulation of lnRNA‐NEF may contribute to the postoperative DR in patients with PC through the interactions with TGF‐β1.