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  • 1
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    Online Resource
    Correlation of acetyl‐coenzyme A carboxylase 1 with Th17 and Th1 cells, serving as a potential prognostic biomarker for acute ischemic stroke patients
    Wiley ; 2022
    In:  Journal of Clinical Laboratory Analysis Vol. 36, No. 10 ( 2022-10)
    Details
    In: Journal of Clinical Laboratory Analysis, Wiley, Vol. 36, No. 10 ( 2022-10)
    Abstract: Acetyl‐coenzyme A carboxylase 1 (ACC1) regulates lipid homeostasis, T helper (Th) cell differentiation, oxidative stress, inflammation response, and neurological process, engaging in acute ischemic stroke (AIS) pathogenesis, while its clinical utility in AIS is unclear. Hence, this study intended to explore the correlation among blood ACC1, Th17, and Th1 cells, and ACC1’s potency as a prognostic biomarker for AIS management. Methods ACC1 in peripheral blood mononuclear cells (PBMCs) of 160 AIS patients and 30 controls were determined using RT‐qPCR; blood Th17 and Th1 cells in AIS patients were quantified by flow cytometry. Results ACC1 was increased in AIS patients compared with controls (median (interquartile range): 2.540 (1.753–3.548) vs. 0.980 (0.655–1.743), p   〈  0.001), which exhibited a good value to reflect AIS risk with the area under the curve of 0.872 (95% CI: 0.805–0.939). Moreover, ACC1 was positively linked with Th17 ( r  = 0.374, p   〈  0.001) and Th1 ( r  = 0.178, p  = 0.024) cells in AIS patients. Additionally, ACC1 ( r  = 0.328, p   〈  0.001), Th17 ( r  = 0.272, p  = 0.001), and Th1 cells ( r  = 0.195, p  = 0.014) were positively associated with the National Institutes of Health Stroke Scale score in AIS patients. ACC1 high vs. low ( p  = 0.038) and Th17 high vs. low ( p  = 0.026) were related to shortened recurrence‐free survival (RFS) in AIS patients, while Th1 cells ( p  = 0.179) were not correlated with RFS. Whereas ACC1 ( p  = 0.248), Th17 ( p  = 0.079), and Th1 cells ( p  = 0.130) were not linked with overall survival (OS) in AIS patients. Conclusion Circulating ACC1 overexpression correlates with increased Th17, Th1 cells, NIHSS score, and shortened RFS in AIS patients.
    Type of Medium: Online Resource
    ISSN: 0887-8013 , 1098-2825
    URL: Issue
    URL: Article
    DOI: 10.1002/jcla.v36.10
    DOI: 10.1002/jcla.24607
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2001635-9
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  • 2
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    Can Environmental Regulation Reduce Urban Haze Concentration from the Perspective of China’s Five Urban Agglomerations?
    MDPI AG ; 2022
    In:  Atmosphere Vol. 13, No. 5 ( 2022-04-22), p. 668-
    Details
    In: Atmosphere, MDPI AG, Vol. 13, No. 5 ( 2022-04-22), p. 668-
    Abstract: Based on the perspective of urban agglomerations, this paper explores the impact mechanism of environmental regulation on haze, and tries to find the most suitable environmental regulation intensity for haze control in urban agglomerations. This paper uses the fixed-effect model and panel threshold model to verify the effect of environmental regulations on haze concentration in 206 cities in China. A grouping test is also conducted to verify whether a regional heterogeneity arises due to different regional development levels for five urban agglomerations and non-five urban agglomerations, respectively. The results show that: (1) In the linear model, strengthening environmental regulation can reduce the haze concentration, but this effect is not significant. The effect of environmental regulation on haze control in the five major urban agglomerations is better than that in the non-five major urban agglomerations; (2) In the nonlinear model, the impact of environmental regulation on haze shows a “U” trend in the five major urban agglomerations and an inverted “U” trend in the non-five major urban agglomerations. Although the results are not significant, we can still conclude that the impact of environmental regulation on haze varies depending on the level of regional economic development. Therefore, the environmental regulation should be formulated according to local conditions; (3) In the threshold model, the impact of environmental regulation on the haze concentration in five major urban agglomerations has a threshold effect. In the five major urban agglomerations, although environmental regulation can effectively reduce haze concentration, the governance effect will weaken as the environmental regulation increases. This study plays a positive role in guiding local governments to adjust environmental regulation intensity according to local conditions and helping local environmental improvement.
    Type of Medium: Online Resource
    ISSN: 2073-4433
    URL: Article
    DOI: 10.3390/atmos13050668
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2605928-9
    SSG: 23
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  • 3
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    Effects of microplastics on soil microbiome: The impacts of polymer type, shape, and concentration
    Elsevier BV ; 2022
    In:  Science of The Total Environment Vol. 806 ( 2022-02), p. 150516-
    Details
    In: Science of The Total Environment, Elsevier BV, Vol. 806 ( 2022-02), p. 150516-
    Type of Medium: Online Resource
    ISSN: 0048-9697
    URL: Article
    DOI: 10.1016/j.scitotenv.2021.150516
    RVK:
    AR 10100
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 1498726-0
    detail.hit.zdb_id: 121506-1
    SSG: 12
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  • 4
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    First-arrival picking with a U-net convolutional network
    Society of Exploration Geophysicists ; 2019
    In:  GEOPHYSICS Vol. 84, No. 6 ( 2019-11-01), p. U45-U57
    Details
    In: GEOPHYSICS, Society of Exploration Geophysicists, Vol. 84, No. 6 ( 2019-11-01), p. U45-U57
    Abstract: In exploration geophysics, the first arrivals on data acquired under complicated near-surface conditions are often characterized by significant static corrections, weak energy, low signal-to-noise ratio, and dramatic phase change, and they are difficult to pick accurately with traditional automatic procedures. We have approached this problem by using a U-shaped fully convolutional network (U-net) to first-arrival picking, which is formulated as a binary segmentation problem. U-net has the ability to recognize inherent patterns of the first arrivals by combining attributes of arrivals in space and time on data of varying quality. An effective workflow based on U-net is presented for fast and accurate picking. A set of seismic waveform data and their corresponding first-arrival times are used to train the network in a supervised learning approach, then the trained model is used to detect the first arrivals for other seismic data. Our method is applied on one synthetic data set and three field data sets of low quality to identify the first arrivals. Results indicate that U-net only needs a few annotated samples for learning and is able to efficiently detect first-arrival times with high precision on complicated seismic data from a large survey. With the increasing training data of various first arrivals, a trained U-net has the potential to directly identify the first arrivals on new seismic data.
    Type of Medium: Online Resource
    ISSN: 0016-8033 , 1942-2156
    URL: Article
    DOI: 10.1190/geo2018-0688.1
    RVK:
    UA 4068.4
    Language: English
    Publisher: Society of Exploration Geophysicists
    Publication Date: 2019
    detail.hit.zdb_id: 2033021-2
    detail.hit.zdb_id: 2184-2
    SSG: 16,13
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  • 5
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    The Relationship Between Enterprise Financial Risk and R&D Investment Under the Influence of the COVID-19
    Frontiers Media SA ; 2022
    In:  Frontiers in Public Health Vol. 10 ( 2022-8-4)
    Details
    In: Frontiers in Public Health, Frontiers Media SA, Vol. 10 ( 2022-8-4)
    Abstract: The COVID-19 pandemic has dealt a considerable blow to the development of Chinese enterprises. Therefore, exploring how to reduce the enterprise financial risk under the impact of the COVID-19 has become a current research hotspot. We select the data of 3,098 A-share companies in the quarters of 2019 and 2020, use the Z-score model to reasonably evaluate enterprise financial risk, and analyze the impact of Research and Development (R & amp;D) investment on enterprise financial risk under the COVID-19.The results show that: ① The COVID-19 pandemic has increased the number of high-risk enterprises. ② R & amp;D investment can effectively reduce the enterprise financial risk, and enterprises that attach importance to scientific research are relatively less affected by the COVID-19. ③ Compared with non-state-owned enterprises, R & amp;D investment under state-owned enterprises can better help enterprises reduce financial risk. ④ When the enterprise financial risk is lower, the role of R & amp;D investment in reducing financial risk is more significant. With the increase of financial risk, the effect of R & amp;D investment on it is weakened. The research results are beneficial to help enterprises to correctly assess their financial risks during the COVID-19, so that enterprises can reasonably invest in research and development, and ultimately ensure the sustainable development of enterprises under the COVID-19.
    Type of Medium: Online Resource
    ISSN: 2296-2565
    URL: Article
    DOI: 10.3389/fpubh.2022.910758
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2711781-9
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  • 6
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    V2O5/P-g-C3N4 Z-scheme enhanced heterogeneous photocatalytic removal of methyl orange from water under visible light irradiation
    Elsevier BV ; 2021
    In:  Colloids and Surfaces A: Physicochemical and Engineering Aspects Vol. 608 ( 2021-01), p. 125580-
    Details
    In: Colloids and Surfaces A: Physicochemical and Engineering Aspects, Elsevier BV, Vol. 608 ( 2021-01), p. 125580-
    Type of Medium: Online Resource
    ISSN: 0927-7757
    URL: Article
    DOI: 10.1016/j.colsurfa.2020.125580
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1500517-3
    detail.hit.zdb_id: 1169792-1
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  • 7
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    Does Environmental Regulation Improve the Green Total Factor Productivity of Chinese Cities? A Threshold Effect Analysis Based on the Economic Development Level
    MDPI AG ; 2021
    In:  International Journal of Environmental Research and Public Health Vol. 18, No. 9 ( 2021-04-30), p. 4828-
    Details
    In: International Journal of Environmental Research and Public Health, MDPI AG, Vol. 18, No. 9 ( 2021-04-30), p. 4828-
    Abstract: Improvement of green total factor productivity (GTFP) through environmental regulation is of great practical significance in promoting the high-quality development of urban economies. Based on panel data for 163 cities in China from 2003 to 2016, five indicators were selected to quantify the effects of environmental regulation: the SO2 removal rate, smoke and dust removal rate, solid waste utilization rate, domestic sewage treatment rate, and waste harmless treatment rate. This study evaluated the impact of environmental regulation on urban GTFP, and analyzed the threshold effect of urban economic development levels. The research results showed that the impact of environmental regulations on GTFP changed as the level of urban economic development increases. When the economic development level was low, environmental regulation had a significant positive effect on GTFP, especially the SO2 removal rate. When the economy developed to reach a medium level, the impact of environmental regulation on GTFP was negative. When the economic development level was high, the SO2 removal rate still had a significant positive impact on GTFP. The solid waste utilization rate had a significant negative impact on GTFP. It was concluded that the government should consider the local economic development level when formulating environmental regulation policies.
    Type of Medium: Online Resource
    ISSN: 1660-4601
    URL: Article
    DOI: 10.3390/ijerph18094828
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2175195-X
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  • 8
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    The effect of deoxyschizandrin on chronic unpredictable mild stress–induced depression
    Wiley ; 2021
    In:  Biotechnology and Applied Biochemistry Vol. 68, No. 1 ( 2021-02), p. 52-59
    Details
    In: Biotechnology and Applied Biochemistry, Wiley, Vol. 68, No. 1 ( 2021-02), p. 52-59
    Abstract: The purpose of the present study was to evaluate the antidepressant effect of deoxyschizandrin (DEO) in chronic unpredictable mild stress (CUMS)–induced mice. The mice were subjected to CUMS paradigm for 8 weeks. From the sixth week, the mice were intragastrically treated with DEO once daily for continuous 3 weeks. The behavior tests including sucrose preference test (SPT), forced swimming test (FST), tail suspension test (TST), and open field test were conducted. Additionally, the expressions of TLR4, MyD88, TRAF6, p‐NF‐κBp65, NLRP3, cleaved caspase‐1, cleaved IL‐1β, GluR, and PSD95 in hippocampus were detected by western blot. The concentrations of IL‐6 and TNF‐α in hippocampus were determined by enzyme linked immune sorbent assay (ELISA). The dendritic spine density was observed by Golgi–Cox staining. As a result, the treatment with DEO relieved anhedonia in SPT, and reduced immobile duration in FST and TST. DEO treatment effectively attenuated the CUMS‐caused alterations of TLR4, MyD88, TRAF6, p‐NF‐κBp65, NLRP3, cleaved caspase‐1, cleaved IL‐1β, GluR, and PSD95. Furthermore, DEO could reduce the hippocampal inflammatory cytokine content and increase the density of dendritic spine. In conclusion, the present work indicated that DEO exhibited antidepressant effect on CUMS‐induced depressive mice, which was possible due to the TLR4/NF‐κB/NLRP3 pathway and the amelioration of dendritic spine density through GluR/PSD95 cascade.
    Type of Medium: Online Resource
    ISSN: 0885-4513 , 1470-8744
    URL: Issue
    URL: Article
    DOI: 10.1002/bab.v68.1
    DOI: 10.1002/bab.1893
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1496341-3
    SSG: 12
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  • 9
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    ChemInform Abstract: Highly Enantioselective Organocatalytic α-Sulfenylation of Azlactones.
    Wiley ; 2014
    In:  ChemInform Vol. 45, No. 28 ( 2014-07-15), p. no-no
    Details
    In: ChemInform, Wiley, Vol. 45, No. 28 ( 2014-07-15), p. no-no
    Type of Medium: Online Resource
    ISSN: 0931-7597
    URL: Article
    DOI: 10.1002/chin.201428117
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2110203-X
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  • 10
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    The clinical value of long noncoding RNA GAS5 in acute ischemic stroke: Correlation with disease risk, inflammation, severity, and risk of recurrence
    Wiley ; 2022
    In:  Journal of Clinical Laboratory Analysis Vol. 36, No. 1 ( 2022-01)
    Details
    In: Journal of Clinical Laboratory Analysis, Wiley, Vol. 36, No. 1 ( 2022-01)
    Abstract: Long noncoding RNA growth arrest‐specific 5 (lnc‐GAS5) is involved in the pathophysiology of acute ischemic stroke (AIS) by regulating vascular stenosis, inflammation, and neurocyte apoptosis. This study aimed to explore the clinical value of lnc‐GAS5 in patients with AIS. Methods Plasma samples were collected from 120 patients with AIS at admission and 60 controls after enrollment, and lnc‐GAS5 expression in the plasma of all participants was assessed by reverse transcription quantitative polymerase chain reaction. In patients with AIS, disease severity was evaluated using National Institute of Health Stroke Scale (NIHSS) score, and plasma inflammatory cytokine levels were measured by enzyme‐linked immunosorbent assay. Recurrence‐free survival (RFS) was calculated during a 36‐month follow‐up period. Results Lnc‐GAS5 expression levels were higher in patients with AIS than in the controls ( p   〈  0.001), and it had the potential to discriminate the controls from patients with AIS (area under the curve: 0.893, 95% confidence interval: 0.849–0.938). In patients with AIS, elevated lnc‐GAS5 levels were positively correlated with NIHSS score ( r  = 0.397, p   〈  0.001), diabetes mellitus ( p  = 0.046), and higher levels of tumor necrosis factor alpha (TNF‐α; r  = 0.374, p   〈  0.001), interleukin‐6 (IL‐6; r  = 0.223, p   〈  0.001), and interleukin‐17A (IL‐17A; r  = 0.222, p  = 0.015). The expression levels of lnc‐GAS5 were also negatively correlated with the levels of interleukin‐10 (IL‐10; r  = −0.350, p   〈  0.001) and RFS ( p  = 0.036). Conclusion Lnc‐GAS5 is correlated with higher susceptibility to AIS, inflammation, and severity, and can predict an increased risk of AIS recurrence, indicating that monitoring of lnc‐GAS5 might improve the management of AIS.
    Type of Medium: Online Resource
    ISSN: 0887-8013 , 1098-2825
    URL: Issue
    URL: Article
    DOI: 10.1002/jcla.v36.1
    DOI: 10.1002/jcla.24171
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2001635-9
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