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  • 1
    In: Oxidative Medicine and Cellular Longevity, Hindawi Limited, Vol. 2019 ( 2019-11-06), p. 1-15
    Abstract: Acute lung injury (ALI) is a critical event involved in the pathophysiological process of acute pancreatitis (AP). Many methods have been widely used for the treatment of AP-ALI, but few are useful during early inflammation. Lipoxin A4 (LXA4), a potent available anti-inflammatory and novel antioxidant mediator, has been extensively studied in AP-ALI, but its underlying mechanism as a protective mediator is not clear. This research was conducted to identify the possible targets and mechanisms involved in the anti-AP-ALI effect of LXA4. First, we confirmed that LXA4 strongly inhibited AP-ALI in mice. Next, using ELISA, PCR, and fluorescence detection to evaluate different parameters, LXA4 was shown to reduce the inflammatory cytokine production induced by AP and block reactive oxygen species (ROS) generation in vivo and in vitro. In addition, TNF- α treatment activated the nuclear factor E2-related factor 2 (Nrf2) signaling pathway and its downstream gene heme oxygenase-1 (HO-1) in human pulmonary microvascular endothelial cells (HPMECs), and LXA4 further promoted their expression. This study also provided evidence that LXA4 phosphorylates Ser40 and triggers its nuclear translocation to activate Nrf2. Moreover, when Nrf2-knockout (Nrf2 -/- ) mice and cells were used to further assess the effect of the Nrf2/HO-1 pathway, we found that Nrf2 expression knockdown partially eliminated the effect of LXA4 on the reductions in inflammatory factor levels while abrogating the inhibitory effect of LXA4 on the ROS generation stimulated by AP-ALI. Overall, LXA4 attenuated the resolution of AP-induced inflammation and ROS generation to mitigate ALI, perhaps by modulating the Nrf2/HO-1 pathway. These findings have laid a foundation for the treatment of AP-ALI.
    Type of Medium: Online Resource
    ISSN: 1942-0900 , 1942-0994
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2455981-7
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  • 2
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2021
    In:  IEEE Transactions on Multimedia Vol. 23 ( 2021), p. 2943-2956
    In: IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers (IEEE), Vol. 23 ( 2021), p. 2943-2956
    Type of Medium: Online Resource
    ISSN: 1520-9210 , 1941-0077
    RVK:
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2021
    detail.hit.zdb_id: 2033070-4
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  • 3
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2022
    In:  IEEE Transactions on Circuits and Systems for Video Technology Vol. 32, No. 12 ( 2022-12), p. 8476-8485
    In: IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers (IEEE), Vol. 32, No. 12 ( 2022-12), p. 8476-8485
    Type of Medium: Online Resource
    ISSN: 1051-8215 , 1558-2205
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2022
    detail.hit.zdb_id: 2034312-7
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  • 4
    In: Advanced Materials, Wiley, Vol. 32, No. 32 ( 2020-08)
    Abstract: The capability of sensor systems to efficiently scavenge their operational power from stray, weak environmental energies through sustainable pathways could enable viable schemes for self‐powered health diagnostics and therapeutics. Triboelectric nanogenerators (TENG) can effectively transform the otherwise wasted environmental, mechanical energy into electrical power. Recent advances in TENGs have resulted in a significant boost in output performance. However, obstacles hindering the development of efficient triboelectric devices based on biocompatible materials continue to prevail. Being one of the most widely used polymers for biomedical applications, polyvinyl alcohol (PVA) presents exciting opportunities for biocompatible, wearable TENGs. Here, the holistic engineering and systematic characterization of the impact of molecular and ionic fillers on PVA blends’ triboelectric performance is presented for the first time. Triboelectric devices built with optimized PVA‐gelatin composite films exhibit stable and robust triboelectricity outputs. Such wearable devices can detect the imperceptible skin deformation induced by the human pulse and capture the cardiovascular information encoded in the pulse signals with high fidelity. The gained fundamental understanding and demonstrated capabilities enable the rational design and holistic engineering of novel materials for more capable biocompatible triboelectric devices that can continuously monitor vital physiological signals for self‐powered health diagnostics and therapeutics.
    Type of Medium: Online Resource
    ISSN: 0935-9648 , 1521-4095
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1474949-X
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  • 5
    Online Resource
    Online Resource
    Association for Computing Machinery (ACM) ; 2021
    In:  ACM Transactions on Intelligent Systems and Technology Vol. 12, No. 3 ( 2021-06-30), p. 1-16
    In: ACM Transactions on Intelligent Systems and Technology, Association for Computing Machinery (ACM), Vol. 12, No. 3 ( 2021-06-30), p. 1-16
    Abstract: Non-parallel text style transfer has attracted increasing research interests in recent years. Despite successes in transferring the style based on the encoder-decoder framework, current approaches still lack the ability to preserve the content and even logic of original sentences, mainly due to the large unconstrained model space or too simplified assumptions on latent embedding space. Since language itself is an intelligent product of humans with certain grammars and has a limited rule-based model space by its nature, relieving this problem requires reconciling the model capacity of deep neural networks with the intrinsic model constraints from human linguistic rules. To this end, we propose a method called Graph Transformer–based Auto-Encoder, which models a sentence as a linguistic graph and performs feature extraction and style transfer at the graph level, to maximally retain the content and the linguistic structure of original sentences. Quantitative experiment results on three non-parallel text style transfer tasks show that our model outperforms state-of-the-art methods in content preservation, while achieving comparable performance on transfer accuracy and sentence naturalness.
    Type of Medium: Online Resource
    ISSN: 2157-6904 , 2157-6912
    Language: English
    Publisher: Association for Computing Machinery (ACM)
    Publication Date: 2021
    detail.hit.zdb_id: 2584437-4
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  • 6
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. e21003-e21003
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e21003-e21003
    Abstract: e21003 Background: Pulmonary large cell neuroendocrine carcinoma (LCNCE) is a high-grade neuroendocrine tumor with poor prognosis. The genomic profile and immune feature of LCNEC have been reported in many studies. However, the relationship between immune microenvironment and the prognosis of LCNEC patients is poorly understood. Our study was aimed to examine the infiltration of CD8 + T cell and PD-L1 + cells in LCNEC patients, and explore whether CD8 + T cell and PD-L1 + cells are related to LCNEC patients’ prognosis. Methods: 37 eligible LCNEC patients (stage I-III) with received the treatment of surgical operation (27 among 37 patients underwent adjuvant radiochemotherapy) were included, tumor tissues were collected from the first medical center of Chinese PLA General Hospital. Multiplex immunohistochemistry (Multi IHC) was performed using the antibodies of CD8 and PD-L1. The univariate and multivariate cox proportional hazards analyses were used to assess the association between the abundance of CD8 + T cell and PD-L1 + cells with the clinical outcome of LCNEC patients. Results: Patients were divided into high and low group using the median positive percentage of CD8 or PD-L1 as cutoff. The univariate analysis showed that patients with stromal high CD8 + T cell infiltration or stage I had significantly longer disease free survival (DFS) (CD8, p = 0.03; stage I, p = 0.036), and patients with high PD-L1 expression in stroma region, I stage, adjvant radiochemotherapy had notably increased overall survival (OS) (p = 0.049, p = 0.031, p = 0.023, respectively). However, the infiltration of CD8 + T cell or PD-L1 expression in total or tumor region had no correlation with survival of LCNEC patients. Furthermore, multivariate analysis demonstrated that low CD8+ T cell density in stroma region was an independent risk factor for PFS (p = 0.03), advanced TNM stage (II-III stage, p = 0.0009) and low stromal PD-L1 expression were independent risk factors for OS (p = 0.013). Conclusions: High infiltration of CD8 + T cell or PD-L1 + cell in stroma region were independent good prognosis factors of LCNEC patients. However, these findings need a larger LCNEC cohort to validate.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 7
    In: Nutrition and Cancer, Informa UK Limited, Vol. 71, No. 6 ( 2019-08-18), p. 1007-1018
    Type of Medium: Online Resource
    ISSN: 0163-5581 , 1532-7914
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2019
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  • 8
    Online Resource
    Online Resource
    Elsevier BV ; 2022
    In:  Knowledge-Based Systems Vol. 255 ( 2022-11), p. 109815-
    In: Knowledge-Based Systems, Elsevier BV, Vol. 255 ( 2022-11), p. 109815-
    Type of Medium: Online Resource
    ISSN: 0950-7051
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2017495-0
    SSG: 24,1
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  • 9
    In: Journal of Alzheimer's Disease, IOS Press, Vol. 49, No. 4 ( 2016-01-01), p. 961-969
    Abstract: Background: Dementia is increasingly prevalent due to rapid aging of the population, but under-recognized among people with low education levels. This is partly due to a lack of appropriate and precise normative data, which underestimates cognitive aging in the use of screening tools for dementia. Objective: We aimed to improve the precision of screening for cognitive impairment, by characterizing the patterns of cognitive aging and derived normative data of the Mini-Mental State Examination (MMSE) for illiterate and low-educated populations. Methods: This community-based study included data from 2,280 individuals aged 40 years or older from two rural areas. Multiple linear modeling examined the effect of aging on cognition reflected by the MMSE, stratified by education level and gender. Threshold effect of age on cognition was performed using a smoothing function. Results: The majority of participants (60.4%) were illiterate or had attended only primary school (24.6%). The effect of aging on cognition varied by gender and education. Primary-school educated females and males remained cognitively stable up to 62 and 71 years of age, respectively, with MMSE score declining 0.4 and 0.8 points/year in females and males thereafter. Illiterates females scored 2.3 points lower than illiterate males, and scores for both declined 0.2 points/year. According to these results, normative data stratified by age, education and gender was generated. Conclusion: This study suggests gender and educational differences exist in cognitive aging among adults with limited or no formal education. To improve screening precision for cognitive impairment with the use of MMSE in low-educated population, age, gender, and education level should be considered.
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2016
    detail.hit.zdb_id: 2070772-1
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  • 10
    In: Shock and Vibration, Hindawi Limited, Vol. 2022 ( 2022-5-24), p. 1-12
    Abstract: Artificial support system takes advantages of self-bearing capacity of surrounding rock mass in roadway support, which is one of the important supporting ideas in modern times. The implementation way of an artificial support system is worthy of deep investigation. In this study, an HLBR hypothesis was proposed with comprehensive consideration of mechanical properties of surrounding rock mass based on the reinforced arch theory and axial variation theory. A model of bearing structure in surrounding rock mass was constructed, and the stress state on the bearing structure was analyzed. It was believed that when the axial ratio (k) of this bearing structure is equal to the lateral stress factor (λ) (which is the optimal axial ratio), the tangential stress on the bearing boundary reaches the minimum and is in uniform distribution. At this moment, the roadway and the supporting structure can make good use of the self-carrying capacity of surrounding rock mass, which is conducive to lowering the stress distribution level of surrounding rock mass. According to prestress diffusion characteristics of bolt, some ways to achieve HLBR were proposed, which were the optimal axial ratio design, difference support and local grouting modification, and finally performance of the original support design in a belt roadway of the mining district IV of a mine in Shanxi Province. A new supporting scheme was provided according to the HLBR hypothesis. In addition, the FLAC3D strain-softening model was modified by C++, which was used to interpret the reasonability of the suggested supporting scheme. The proposed HLBR hypothesis discloses ways to use self-capacity of surrounding rock mass. This study provides a new idea for roadway sectional design and roadway support design, which are beneficial to maintaining the stability of surrounding rock mass in roadways.
    Type of Medium: Online Resource
    ISSN: 1875-9203 , 1070-9622
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2070162-7
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