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  • Hindawi Limited  (175)
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  • Hindawi Limited  (175)
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  • 1
    In: Stem Cells International, Hindawi Limited, Vol. 2015 ( 2015), p. 1-13
    Abstract: Calcium phosphate- (CaP-) based composite scaffolds have been used extensively for the bone regeneration in bone tissue engineering. Previously, we developed a biomimetic composite nanofibrous membrane of gelatin/ β -tricalcium phosphate (TCP) and confirmed their biological activity in vitro and bone regeneration in vivo . However, how these composite nanofibers promote the osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) is unknown. Here, gelatin/ β -TCP composite nanofibers were fabricated by incorporating 20 wt% β -TCP nanoparticles into electrospun gelatin nanofibers. Electron microscopy showed that the composite β -TCP nanofibers had a nonwoven structure with a porous network and a rough surface. Spectral analyses confirmed the presence and chemical stability of the β -TCP and gelatin components. Compared with pure gelatin nanofibers, gelatin/ β -TCP composite nanofibers caused increased cell attachment, proliferation, alkaline phosphatase activity, and osteogenic gene expression in rat BMSCs. Interestingly, the expression level of the calcium-sensing receptor (CaSR) was significantly higher on the composite nanofibrous scaffolds than on pure gelatin. For rat calvarial critical sized defects, more extensive osteogenesis and neovascularization occurred in the composite scaffolds group compared with the gelatin group. Thus, gelatin/ β -TCP composite scaffolds promote osteogenic differentiation of BMSCs in vitro and bone regeneration in vivo by activating Ca 2+ -sensing receptor signaling.
    Type of Medium: Online Resource
    ISSN: 1687-966X , 1687-9678
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2573856-2
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2014
    In:  Journal of Applied Mathematics Vol. 2014 ( 2014), p. 1-9
    In: Journal of Applied Mathematics, Hindawi Limited, Vol. 2014 ( 2014), p. 1-9
    Abstract: Nonlinear faults are difficultly separated for amounts of redundancy process variables in process industry. This paper introduces an improved kernel fisher distinguish analysis method (KFDA). All the original process variables with faults are firstly optimally classified in multi-KFDA (MKFDA) subspace to obtain fisher criterion values. Multikernel is used to consider different distributions for variables. Then each variable is eliminated once from original sets, and new projection is computed with the same MKFDA direction. From this, differences between new Fisher criterion values and the original ones are tested. If it changed obviously, the effect of eliminated variable should be much important on faults called false nearest neighbors (FNN). The same test is applied to the remaining variables in turn. Two nonlinear faults crossed in Tennessee Eastman process are separated with lower observation variables for further study. Results show that the method in the paper can eliminate redundant and irrelevant nonlinear process variables as well as enhancing the accuracy of classification.
    Type of Medium: Online Resource
    ISSN: 1110-757X , 1687-0042
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2014
    detail.hit.zdb_id: 2578385-3
    SSG: 17,1
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  • 3
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Computational and Mathematical Methods in Medicine Vol. 2022 ( 2022-12-17), p. 1-24
    In: Computational and Mathematical Methods in Medicine, Hindawi Limited, Vol. 2022 ( 2022-12-17), p. 1-24
    Abstract: AdipoQ receptor 4 (PAQR4) belongs to the family of progestin and AdipoQ receptors. PAQR4 plays an oncogenic role in lung and breast cancer. However, systematic pancancer analyses of PAQR4 have not been performed. The purpose was to investigate the prognostic and immunological significance of PAQR4 across 31 tumor types. Data were obtained from the following sources: TCGA, GEO, UALCAN, TIMER, GEPIA2, KM plotter, and TISIDB databases. The results proved that PAQR4 expression was significantly elevatory in most cancer types. We then explored the utility of PAQR4 as a prognostic indicator across all cancers. Using Cox proportional risk regression models, it has been demonstrated that PAQR4 is an independent risk factor in. High PAQR4 expression was not associated with other prognostic indicators, including overall survival, disease-free interval, disease-specific survival, and progression-free period. Subsequently, we explored the immunological value of PAQR4 and found that PAQR4 expression significantly correlated with tumor mutational burden, microsatellite instability, neoantigen, and immune checkpoint genes in tumors. It also significantly negatively correlated with most tumors’ ESTIMATE scores, indicating that PAQR4 can influence the cellular composition of the tumor microenvironment. Our findings suggest the immunotherapeutic potential of PAQR4 in tumors. Finally, we explored the role of PAQR4 in tumor drug resistance and found that PAQR4 expression affected the sensitivity to multiple chemotherapeutic agents. A significant role for PAQR4 in tumor immunity is evident in these studies, as well as its potential role in cancer diagnosis, prognosis, and treatment precision.
    Type of Medium: Online Resource
    ISSN: 1748-6718 , 1748-670X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2256917-0
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  • 4
    In: BioMed Research International, Hindawi Limited, Vol. 2022 ( 2022-9-15), p. 1-12
    Abstract: Background. PCOS is a prevalent endocrine and metabolic disorder in women characterized by abnormal blood glucose, dyslipidemia, and abnormal mental health. To improve patient care, the goal of our study is to find out if there are differences in how PCOS patients are treated at different hospital levels within the hierarchical medical system. Methods. Obstetricians and gynecologists from primary, secondary, and tertiary hospitals were the participants in the survey. The responses provided and collected were analyzed using various statistical techniques like the chi-square test, Fisher exact test, and logistic regression with multiple variables. Results. The investigation examined 2298 survey replies (13.1% primary hospitals, 52.4% secondary hospitals, and 34.5% tertiary hospitals). As hospital grade increases, more participants inquire about a patient’s history of unfavorable pregnancies concerning hormone evaluation; the better the hospital’s grade, the greater the number of participants who would undergo AMH and androgen-related tests. The higher the hospital level, the more participants would pick the oral glucose tolerance test (OGTT) to determine insulin resistance, the BMI Asian criteria for defining obesity, and blood lipids. Participants in primary (odds ratio OR = 0.383 , 95% confidence interval (CI) 0.282-0.520) and secondary ( OR = 0.607 , 95% confidence interval (CI) 0.481-0.765) hospitals were significantly less likely to select OGTT than those in tertiary hospitals. Comparatively, fewer primary hospitals chose to do lipid profiling than tertiary hospitals (OR 0.689, 95% CI 0.523-0.909). With the increase in hospital level, participants were more knowledgeable about the multiple efficacies and dose alternatives of metformin and selected letrozole and assisted reproduction more frequently. Conclusion. Our study uncovered differences in the endocrine evaluation, metabolic screening, and management of PCOS patients across obstetrics and gynecology at various hospital levels. Simultaneously, it underlines the need to improve the hierarchical medical system and close the knowledge gap across hospitals.
    Type of Medium: Online Resource
    ISSN: 2314-6141 , 2314-6133
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2698540-8
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  • 5
    Online Resource
    Online Resource
    Hindawi Limited ; 2018
    In:  Mathematical Problems in Engineering Vol. 2018 ( 2018-08-12), p. 1-9
    In: Mathematical Problems in Engineering, Hindawi Limited, Vol. 2018 ( 2018-08-12), p. 1-9
    Abstract: Due to missing values, incomplete dataset is ubiquitous in multimodal scene. Complete data is a prerequisite of the most existing multimodality data fusion methods. For incomplete multimodal high-dimensional data, we propose a feature selection and classification method. Our method mainly focuses on extracting the most relevant features from the high-dimensional features and then improving the classification accuracy. The experimental results show that our method produces considerably better performance on incomplete multimodal data such as ADNI dataset and Office dataset, compared to the case of complete data.
    Type of Medium: Online Resource
    ISSN: 1024-123X , 1563-5147
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2018
    detail.hit.zdb_id: 2014442-8
    SSG: 11
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  • 6
    In: Oxidative Medicine and Cellular Longevity, Hindawi Limited, Vol. 2023 ( 2023-1-5), p. 1-18
    Abstract: Disturbed structure and dysfunction of the retinal pigment epithelium (RPE) lead to degenerative diseases of the retina. Excessive accumulation of reactive oxygen species (ROS) in the RPE is thought to play an important role in RPE dysfunction and degeneration. Autophagy is a generally low-activity degradation process of cellular components that increases significantly when high levels of oxidative stress are present. Agents with antioxidant properties may decrease autophagy and provide protection against RPE dysfunction and damage caused by ROS. Lycium barbarum polysaccharide (LBP) has been widely studied as an antioxidant and cell-protective agent. Therefore, we designed this study to investigate the effects of LBP, which inhibits miR-181, on autophagy in retinal pigment epithelium (RPE) with oxidative stress in vitro and in vivo. In the current study, we found that the highly expressed miR-181 downregulated the expression of Bcl-2 in hydrogen peroxide- (H2O2-) induced ARPE-19 cells, resulting in an increase in ROS, apoptosis, and autophagy flux. LBP inhibited the expression of miR-181, decreased the levels of ROS, apoptosis, and autophagy flux, and increased cell viability in H2O2-induced ARPE-19 cells, suggesting that LBP provides protection against oxidative damage in ARPE-19 cells. We also found that LBP decreased RPE atrophy and autophagy flux in rd10 mice. Taken together, the results showed that LBP has a protective effect for RPE under oxidative stress by inhibiting miR-181 and affecting the Bcl-2/Beclin1 autophagy signaling pathway.
    Type of Medium: Online Resource
    ISSN: 1942-0994 , 1942-0900
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2455981-7
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  • 7
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Computational and Mathematical Methods in Medicine Vol. 2022 ( 2022-8-31), p. 1-9
    In: Computational and Mathematical Methods in Medicine, Hindawi Limited, Vol. 2022 ( 2022-8-31), p. 1-9
    Abstract: Background. Breast cancer is a kind of cancer that starts in the epithelial tissue of the breast. Breast cancer has been on the rise in recent years, with a younger generation developing the disease. Magnetic resonance imaging (MRI) plays an important role in breast tumor detection and treatment planning in today’s clinical practice. As manual segmentation grows more time-consuming and the observed topic becomes more diversified, automated segmentation becomes more appealing. Methodology. For MRI breast tumor segmentation, we propose a CNN-SVM network. The labels from the trained convolutional neural network are output using a support vector machine in this technique. During the testing phase, the convolutional neural network’s labeled output, as well as the test grayscale picture, is passed to the SVM classifier for accurate segmentation. Results. We tested on the collected breast tumor dataset and found that our proposed combined CNN-SVM network achieved 0.93, 0.95, and 0.92 on DSC coefficient, PPV, and sensitivity index, respectively. We also compare with the segmentation frameworks of other papers, and the comparison results prove that our CNN-SVM network performs better and can accurately segment breast tumors. Conclusion. Our proposed CNN-SVM combined network achieves good segmentation results on the breast tumor dataset. The method can adapt to the differences in breast tumors and segment breast tumors accurately and efficiently. It is of great significance for identifying triple-negative breast cancer in the future.
    Type of Medium: Online Resource
    ISSN: 1748-6718 , 1748-670X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2256917-0
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  • 8
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2023 ( 2023-2-2), p. 1-14
    Abstract: Objective. This study is designed to find out the molecular targets of effective Chinese medicine Ziyin Mingmu pills (ZMPs) in treating age-related macular degeneration (AMD) based on network pharmacology and experimental data. Methods. A comprehensive network pharmacology strategy that consists of three sequential modules (drug-disease target molecular docking, enrichment analysis, and external verification) was carried out to identify potential targets of ZMPs acting on AMD. Results. The active ingredients of ZMPs targeting 66 genes have effects on the process of AMD. GO and KEGG pathway enrichment analyses suggested that response to oxidative stress, regulation of angiogenesis, and lipid and atherosclerosis might serve as the most important signaling pathways in ZMPs for AMD treatment. Combined with the GSE29801 dataset for further analysis, two key genes, EGFR and VEGFA, were identified. Immune infiltration analysis showed that there was a strong association between EGFR and immune cell content. In addition, images were acquired following 24 h in the scratch experiment showed that ZMPs can reduce the percentage of wound healing distance. The Western blot assay found that ZMPs increased the expression of EGFR and decreased the expression of VEGFA. Conclusion. This study sheds light on some mechanisms of ZMP therapy for AMD, particularly the effect of ZMP on the oxidative stress in RPE and cell survival and angiogenesis in AMD. We propound ZMPs as a promising strategy to intervene in the process of AMD.
    Type of Medium: Online Resource
    ISSN: 1741-4288 , 1741-427X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2148302-4
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  • 9
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2012 ( 2012), p. 1-14
    Abstract: Actinidia callosa var. callosa has been widely used to treat antipyretic, analgesic, anti-inflammation, abdominal pain, and fever in Taiwan. The aim of this study was to evaluate the antioxidant, antinociceptive, and anti-inflammatory lipopolysaccharide-(LPS-)induced nitric oxide (NO) production in RAW264.7 macrophages and pawedema induced by λ -carrageenan activities of the methanol extract from A. callosa . In HPLC analysis, the fingerprint chromatogram of ethyl-acetate fraction of A. callosa (EAAC) was established. EAAC showed the highest TEAC and DPPH radical scavenging activities, respectively. We evaluated that EAAC and the reference compound of catechin and caffeic acid decreased the LPS-induced NO production in RAW264.7 cells. Treatment of male ICR mice with EAAC significantly inhibited the numbers of acetic acid-induced writhing response and the formalin-induced pain in the late phase. Administration of EAAC showed a concentration-dependent inhibition on paw edema development after Carr treatment in mice. Anti-inflammatory mechanisms of EAAC might be correlated to the expression of inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), and heme oxygenase-1 (HO-1) in vitro and in vivo . Overall, the results showed that EAAC demonstrated antioxidant, antinociceptive, and anti-inflammatory activity, which supports previous claims of the traditional use for inflammation and pain.
    Type of Medium: Online Resource
    ISSN: 1741-427X , 1741-4288
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2012
    detail.hit.zdb_id: 2148302-4
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  • 10
    In: Oxidative Medicine and Cellular Longevity, Hindawi Limited, Vol. 2022 ( 2022-12-22), p. 1-25
    Abstract: Pyroptosis or cellular inflammatory necrosis is a programmed cell death kind. Accumulating evidence shows that pyroptosis plays a crucial role in the invasion, metastasis, and proliferation of tumor cells, thus affecting the prognosis of tumors and therapeutic effects. Prostate cancer (PCa), a common malignancy among men, is associated with inflammation. Pathophysiological effects of pyroptosis on tumor development and progression, as well as the mediation of PCa, are known, but its effects on the potential prognosis for PCa warrant in-depth investigation. Herein, we built a risk model of six pyroptosis-related genes and verified their predictive abilities for prognostic and therapeutic effects. Higher risk scores indicated a higher probability of biochemical recurrence (BCR), higher immune infiltration, and worsened clinicopathological features. To derive scientific and reliable predictions for BCR in patients having PCa, the findings of the current study were verified in the Gene Expression Omnibus (GEO) cohort following evaluation in The Cancer Genome Atlas (TCGA) dataset. Additionally, after evaluating the six genes in the model, ZDHHC1 was found to be an important component. Its antitumor role was further assessed through in vivo and in vitro experiments, and its promoting effect on pyroptosis was further evaluated and verified. The above results provided a new perspective for further studies on pyroptosis and its clinical utility for PCa.
    Type of Medium: Online Resource
    ISSN: 1942-0994 , 1942-0900
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2455981-7
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