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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  Science China Chemistry Vol. 63, No. 11 ( 2020-11), p. 1619-1625
    In: Science China Chemistry, Springer Science and Business Media LLC, Vol. 63, No. 11 ( 2020-11), p. 1619-1625
    Type of Medium: Online Resource
    ISSN: 1674-7291 , 1869-1870
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2546722-0
    detail.hit.zdb_id: 2544279-X
    SSG: 6,25
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  • 2
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2024-03-12)
    Abstract: In recent years, human umbilical cord mesenchymal stem cell (hUC-MSC) extracellular vesicles (EVs) have been used as a cell replacement therapy and have been shown to effectively overcome some of the disadvantages of cell therapy. However, the specific mechanism of action of EVs is still unclear, and there is no appropriate system for characterizing the differences in the molecular active substances of EVs produced by cells in different physiological states. We used a data-independent acquisition (DIA) quantitative proteomics method to identify and quantify the protein composition of two generations EVs from three different donors and analysed the function and possible mechanism of action of the proteins in EVs of hUC-MSCs via bioinformatics. By comparative proteomic analysis, we characterized the different passages EVs. Furthermore, we found that adaptor-related protein complex 2 subunit alpha 1 (AP2A1) and adaptor-related protein complex 2 subunit beta 1 (AP2B1) in hUC-MSC-derived EVs may play a significant role in the treatment of Alzheimer's disease (AD) by regulating the synaptic vesicle cycle signalling pathway. Our work provides a direction for batch-to-batch quality control of hUC-MSC-derived EVs and their application in AD treatment.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2024
    detail.hit.zdb_id: 2615211-3
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  • 3
    In: CNS Neuroscience & Therapeutics, Wiley, Vol. 28, No. 2 ( 2022-02), p. 298-306
    Abstract: Cerebral small vessel disease (CSVD) is characterized by functional and structural changes in small vessels. We aimed to elucidate the relationship between dynamic cerebral autoregulation (dCA) and neuroimaging characteristics of CSVD. Methods A case‐control study was performed. Cerebral blood flow velocity (CBFV) of bilateral middle cerebral arteries and spontaneous arterial blood pressure were simultaneously recorded. Transfer function analysis was used to calculate dCA parameters (phase, gain, and the rate of recovery of CBFV [RoRc]). Neuroimaging characteristics of CSVD patients were evaluated, including lacunes, white matter hyperintensities (WMH), cerebral microbleeds (CMBs), perivascular spaces (PVS), and the total CSVD burden. Results Overall, 113 patients and 83 controls were enrolled. Compared with the control group, the phase at low frequency and the RoRc in CSVD patients were lower, and the gain at very low and low frequencies were higher, indicating bilaterally impaired dCA. Total CSVD burden, WMH (total, periventricular and deep), severe PVS, and lobar CMBs were independently correlated with the phase at low frequency. Conclusions Our findings suggested that dCA was compromised in CSVD patients, and some specific neuroimaging characteristics (the total CSVD burden, WMH, severe PVS and lobar CMBs) might indicate more severe dCA impairment in CSVD patients.
    Type of Medium: Online Resource
    ISSN: 1755-5930 , 1755-5949
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2423467-9
    detail.hit.zdb_id: 2423461-8
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  • 4
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2016-11-29)
    Abstract: Comparisons of soil respiration ( R S ) and its components of heterotrophic ( R H ) and rhizospheric ( R R ) respiration during daytime and nighttime, growing (GS) and dormant season (DS), have not being well studied and documented. In this study, we compared R S , R H , R R , and their responses to soil temperature ( T 5 ) and moisture ( θ 5 ) in daytime vs. nighttime and GS vs. DS in a subalpine forest in 2011. In GS, nighttime R S and R H rates were 30.5 ± 4.4% (mean ± SE) and 30.2 ± 6.5% lower than in daytime, while in DS, they were 35.5 ± 5.5% and 37.3 ± 8.5% lower, respectively. DS R S and R H accounted for 27.3 ± 2.5% and 27.6 ± 2.6% of GS R S and R H , respectively. The temperature sensitivities ( Q 10 ) of R S and R H were higher in nighttime than daytime, and in DS than GS, while they all decreased with increase of T 5 . Soil C fluxes were more responsive to θ 5 in nighttime than daytime, and in DS than GS. Our results suggest that the DS and nighttime R S play an important role in regulating carbon cycle and its response to climate change in alpine forests, and therefore, they should be taken into consideration in order to make accurate predictions of R S and ecosystem carbon cycle under climate change scenarios.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 2615211-3
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  • 5
    Online Resource
    Online Resource
    Wiley ; 2008
    In:  JAWRA Journal of the American Water Resources Association Vol. 44, No. 5 ( 2008-10), p. 1132-1143
    In: JAWRA Journal of the American Water Resources Association, Wiley, Vol. 44, No. 5 ( 2008-10), p. 1132-1143
    Abstract: Abstract:  Increasing regional vegetation activity has been frequently found especially in middle and high latitude and alpine areas, but the effects of which on regional hydrology is still highly uncertain. The Upstream Catchment of Minjiang River is a large mountainous catchment covering 22,919 km 2 with a diverse vegetation distribution pattern, including alpine group (A), subalpine group (SA), and temperate and subtropical group (T/ST). The Seasonal Mann‐Kendall test, a nonparametric trend test method, detected consistent upward trends in all groups in monthly accumulated growing degree days (AGDD M ) time series from 1982 to 2003, but no significant trend in mean monthly precipitation (MMP) time series in any group. The alpine group had a significant ( p  = 0.024) upward trend in monthly Normalized Difference of Vegetation Index (NDVI) time series from 1982 to 2003, in contrast, the SA and T/ST groups had decreasing (although not significant) trends. AGDD M plays more important role than MMP in affecting NDVI change in alpine areas, indicating temperature was the main climatic driver. In contrast, water was the main driver for the T/ST group, as indicated by the significant correlation between NDVI and MMP and a weak correlation with AGDD M . Correlation coefficients of NDVI and river flow varied with seasons, mostly negative, especially during the growing season (April to October). A significant ( p  = 0.025) correlation was found only in August, indicating that an increase in peak‐NDVI decreased high flow significantly. TI‐NDVI c , which was developed in an attempt to track the vegetation change at the catchment scale, accounted for more than 40% of the evapotranspiration increase ( r 2  = 0.43).
    Type of Medium: Online Resource
    ISSN: 1093-474X , 1752-1688
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2008
    detail.hit.zdb_id: 1380287-2
    detail.hit.zdb_id: 2090051-X
    SSG: 14
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  • 6
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2024
    In:  Transportation Safety and Environment
    In: Transportation Safety and Environment, Oxford University Press (OUP)
    Abstract: Due to the complex traffic characteristics in highway merging areas, drivers tend to exhibit high-risk driving behaviors. To address the characteristics of driving behavior in highway merging areas, we have developed a real-time identification model for risky drivers by combining a driver risk level labeling method with load balancing-ensemble learning (LB-EL). In this paper, we explore four types of maneuver indicator indexes (MIIs)—acute direction, stomp pedal, dangerous following, and dangerous lane changing—that can describe the negative behaviors of both individual vehicles and vehicle platoons in highway merging areas. To quantize the label driver risk level, we use the interquartile range (IQR) method and Criteria Importance Though Intercriteria Correlation (CRITIC), while we evaluate the reliability of the MII using spatial analysis. Furthermore, we balance the dataset using three load balancing (LB) algorithms and create nine ensemble strategies by pairing adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), and light gradient boosting machine (LGBM) with the three LB algorithms. Finally, we validate the proposed model using trajectory data extracted from UAV videos. The results indicate that the distribution laws of risky driving behaviors in the acute direction and stomp pedal show a high degree of similarity and good matching with the distribution laws of traffic conflict points in existing research. Moreover, the SMOTE-LGBM ensemble model achieves the best performance, reaching an accuracy rate of 93.4% and a recall rate of 92.1%, which demonstrates the validity of our proposed model. This model can be widely applied to recognize risky drivers in video-based surveillance systems.
    Type of Medium: Online Resource
    ISSN: 2631-4428
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2024
    detail.hit.zdb_id: 3035164-9
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  • 7
    In: Dyes and Pigments, Elsevier BV, Vol. 171 ( 2019-12), p. 107739-
    Type of Medium: Online Resource
    ISSN: 0143-7208
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 588397-0
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  • 8
    In: Complexity, Wiley, Vol. 2020 ( 2020-11-18), p. 1-12
    Abstract: In studies investigating the property value enhancements along metro lines, study ranges in most cases are measured in Euclidean distance. However, city roads are not always straight, and Euclidean distance sometimes does not equal to actual distance the passenger travels from the public transport station to their home or a commercial spot. To solve this problem, this study analyzed the indicators affecting commercial property value in metro station accessible area in Xi’an, using walking time consumption in measuring the study range. Following a conceptual framework, considering empirical evidences in related studies, information in city structure, and metro distribution, the initial indicator set is built. Using hedonic price model (HPM), spatial autoregressive model (SAR), and error term (SEM), significant indicators affecting commercial property value are investigated. In this study, 14 significant indicators are determined and quantified. Threshold distance equals to 900 m is found to be appropriate in addressing the autocorrelation problem with the weighted decision matrix tool. Compared to HPM and SEM, SAR is found to perform the best in evaluating the significant indicators with the largest R2 (0.415) and the lowest Akaike Info Criterion (AIC) (−395.214). Besides, it is discovered that the value of the commercial property lies in the study range of 20 min walking time and is obviously influenced by the metro station. The results discovered in this study could provide some empirical evidences to commercial property planning in Xi’an.
    Type of Medium: Online Resource
    ISSN: 1099-0526 , 1076-2787
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2004607-8
    detail.hit.zdb_id: 1284018-X
    SSG: 11
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  • 9
    In: Separation and Purification Technology, Elsevier BV, Vol. 257 ( 2021-02), p. 117959-
    Type of Medium: Online Resource
    ISSN: 1383-5866
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1387379-9
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  • 10
    Online Resource
    Online Resource
    Royal Society of Chemistry (RSC) ; 2022
    In:  New Journal of Chemistry Vol. 46, No. 42 ( 2022), p. 20311-20321
    In: New Journal of Chemistry, Royal Society of Chemistry (RSC), Vol. 46, No. 42 ( 2022), p. 20311-20321
    Abstract: A facile solvothermal assisted g-C 3 N 4 post-grafting technique with aromatic amine dyes via a Schiff base chemical reaction was successfully developed in this study. Based on this strategy, three D–π–A type aromatic amine organic dyes (TPA-CNCHO, PTZ-CNCHO, and CZ-CNCHO) were covalently grafted onto g-C 3 N 4 . The resulting composite photocatalyst was characterized using TEM, XPS, FT-IR, UV-Vis DRS, PL, and transient photocurrents, which confirmed the feasibility of the modification strategy. The values for the photocatalytic hydrogen production rates obtained for g-C 3 N 4 /TPA-CNCHO, g-C 3 N 4 /PTZ-CNCHO, and g-C 3 N 4 /CZ-CNCHO were 16232.7, 13266.9, and 11822.8 μmol h −1 g −1 respectively. Each of these values is 40, 33, and 29 times higher than that of pure g-C 3 N 4 , respectively. Among them, g-C 3 N 4 /TPA-CNCHO exhibited the highest photocatalytic hydrogen-production activity and the highest recycling usage stability. In addition, a possible mechanism for the separation and transfer of photo-induced carriers was obtained based on DFT calculations and experimental results. This further confirmed that covalently post-grafting g-C 3 N 4 with organic aromatic amine dyes through a Schiff base reaction was useful and could effectively enhance the photocatalytic hydrogen evolution reaction. This is a general facile solvothermal method because it can be used for the grafting of other types of functional aromatic organic dyes onto g-C 3 N 4 .
    Type of Medium: Online Resource
    ISSN: 1144-0546 , 1369-9261
    Language: English
    Publisher: Royal Society of Chemistry (RSC)
    Publication Date: 2022
    detail.hit.zdb_id: 622959-1
    detail.hit.zdb_id: 1472933-7
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