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  1. Article ; Online: Secretion of IL-6 and IL-8 in the senescence of bone marrow mesenchymal stem cells is regulated by autophagy via FoxO3a

    Yong Zheng / Shangrong Wu / Haiqiang Ke / Shanshan Peng / Chengjun Hu

    Experimental Gerontology, Vol 172, Iss , Pp 112062- (2023)

    2023  

    Abstract: Bone marrow mesenchymal stem cells (BMSCs) are widely used for therapeutic applications in tissue engineering and regenerative medicine. Nevertheless, the function of BMSCs is adversely affected by senescence. Thus, understanding the molecular mechanisms ...

    Abstract Bone marrow mesenchymal stem cells (BMSCs) are widely used for therapeutic applications in tissue engineering and regenerative medicine. Nevertheless, the function of BMSCs is adversely affected by senescence. Thus, understanding the molecular mechanisms that contribute to BMSC senescence is critical for the development of BMSC-based tissue engineering and regenerative medicine. In this study, senescent BMSCs were characterized with >80 % of BMSCs stained positive for SA-β-gal, increased expressions of senescence-related genes (p16INK4a and p21Waf1). These senescent characters were accompanied by elevated autophagic activity, up-regulation of interleukin 6 (IL-6), IL-8, and FoxO3a. Autophagic activity inhibition alleviated the senescent state with reduced levels of IL-6 and IL-8 during BMSC senescence. The enhanced autophagic activity upregulated the levels of IL-6 and IL-8 which is associated with up-regulation of FoxO3a, and knockdown of FoxO3a reduced IL-6 and IL-8 expression in senescent BMSCs. Therefore, this study indicated the pivotal role of autophagic activity in the expressions of IL-6 and IL-8 during BMSC senescence, which is regulated by FoxO3a.
    Keywords Bone marrow mesenchymal stem cells ; Senescence ; Autophagy ; Interleukin 6 ; Interleukin 8 ; FoxO3a ; Medicine ; R ; Biology (General) ; QH301-705.5
    Subject code 571
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Dynamic Harvest Index Estimation of Winter Wheat Based on UAV Hyperspectral Remote Sensing Considering Crop Aboveground Biomass Change and the Grain Filling Process

    Jianqiang Ren / Ningdan Zhang / Xingren Liu / Shangrong Wu / Dandan Li

    Remote Sensing, Vol 14, Iss 1955, p

    2022  Volume 1955

    Abstract: The crop harvest index (HI) is of great significance for research on the application of crop variety breeding, crop growth simulation, crop management in precision agriculture and crop yield estimation, among other topics. To obtain spatial information ... ...

    Abstract The crop harvest index (HI) is of great significance for research on the application of crop variety breeding, crop growth simulation, crop management in precision agriculture and crop yield estimation, among other topics. To obtain spatial information on the crop dynamic HI (D-HI), taking winter wheat as the research object and fully considering the changes in crop biomass and the grain filling process from the flowering period to the maturity period, the dynamic f G (D- f G ) parameter was estimated as the ratio between the aboveground biomass accumulated in different growth periods, from the flowering stage to the maturity stage, and the aboveground biomass in the corresponding periods. Based on the D- f G parameter estimation using unmanned aerial vehicle (UAV) hyperspectral remote sensing data, a technical method for obtaining spatial information on the winter wheat D-HI was proposed and the accuracy of the proposed method was verified. A correlation analysis was performed between the normalized difference spectral index (NDSI), which was calculated using pairs of any two bands of the UAV hyperspectral spectrum, and the measured D- f G . Based on this correlation analysis, the center of gravity of the local maximum region of R 2 was used to determine the sensitive band center to accurately estimate D- f G . On this basis, remote sensing estimation of the D- f G was realized by using the NDSI constructed by the sensitive hyperspectral band centers. Finally, based on the D- f G remote sensing parameters and the D-HI estimation model, spatial information on the D-HI of winter wheat was accurately obtained. The results revealed five pairs of sensitive hyperspectral band centers (i.e., λ (476 nm, 508 nm), λ (444 nm, 644 nm), λ (608 nm, 788 nm), λ (724 nm, 784 nm) and λ (816 nm, 908 nm)) for D- f G estimation, and the results of the D- f G remote sensing estimation showed high precision. The root mean square error (RMSE) was between 0.0436 and 0.0604, the normalized RMSE (NRMSE) was between 10.31% and 14.27% and ...
    Keywords winter wheat ; harvest index ; unmanned aerial vehicle ; hyperspectral remote sensing ; sensitive band selection ; NDSI ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Comparison of Regional Winter Wheat Mapping Results from Different Similarity Measurement Indicators of NDVI Time Series and Their Optimized Thresholds

    Fangjie Li / Jianqiang Ren / Shangrong Wu / Hongwei Zhao / Ningdan Zhang

    Remote Sensing, Vol 13, Iss 1162, p

    2021  Volume 1162

    Abstract: Generally, there is an inconsistency between the total regional crop area that was obtained from remote sensing technology and the official statistical data on crop areas. When performing scale conversion and data aggregation of remote sensing-based crop ...

    Abstract Generally, there is an inconsistency between the total regional crop area that was obtained from remote sensing technology and the official statistical data on crop areas. When performing scale conversion and data aggregation of remote sensing-based crop mapping results from different administrative scales, it is difficult to obtain accurate crop planting area that match crop area statistics well at the corresponding administrative level. This problem affects the application of remote sensing-based crop mapping results. In order to solve the above problem, taking Fucheng County of Hebei Province in the Huanghuaihai Plain of China as the study area, based on the Sentinel-2 normalized difference vegetation index (NDVI) time series data covering the whole winter wheat growth period, the statistical data of the regional winter wheat planting area were regarded as reference for the winter wheat planting area extracted by remote sensing, and a new method for winter wheat mapping that is based on similarity measurement indicators and their threshold optimizations (WWM-SMITO) was proposed with the support of the shuffled complex evolution-University of Arizona (SCE-UA) global optimization algorithm. The accuracy of the regional winter wheat mapping results was verified, and accuracy comparisons with different similarity indicators were carried out. The results showed that the total area accuracy of the winter wheat area extraction by the proposed method reached over 99.99%, which achieved a consistency that was between the regional remote sensing-based winter wheat planting area and the statistical data on the winter wheat planting area. The crop recognition accuracy also reached a high level, which showed that the proposed method was effective and feasible. Moreover, in the accuracy comparison of crop mapping results based on six different similarity indicators, the winter wheat distribution that was extracted by root mean square error (RMSE) had the best recognition accuracy, and the overall accuracy and kappa ...
    Keywords crop mapping ; similarity ; crop area statistical data ; total amount control ; global optimization algorithm ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Preliminary characterization and probabilistic risk assessment of microplastics and potentially toxic elements (PTEs) in garri (cassava flake), a common staple food consumed in West Africa.

    Enyoh, Christian Ebere / Wang, Qingyue / Rabin, Mominul Haque / Bakare, Rasheed Oluwafemi / Dadiel, Joseph Longji / Shangrong, Wu / Lu, Senlin / Ilechukwu, Ifenna

    Environmental analysis, health and toxicology

    2023  Volume 38, Issue 1, Page(s) e2023005–0

    Abstract: Garri from cassava is one of the most consumed foods in West Africa, hence this research was conducted to examine microplastics (MPs) and potentially toxic elements (PTEs) in garri from Nigeria (West Africa) and Japan. This is the first investigation on ... ...

    Abstract Garri from cassava is one of the most consumed foods in West Africa, hence this research was conducted to examine microplastics (MPs) and potentially toxic elements (PTEs) in garri from Nigeria (West Africa) and Japan. This is the first investigation on MPs in garri samples that has been reported in the literature. The study analyzed both packaged and unpackaged vended garri samples using microscopic/spectroscopic and X-ray fluorescence techniques for MPs and PTEs respectively. Microplastic particles in the garri samples ranged from (or were between) 2.00±2.00 - 175.00±25.16 particles/50 with > 90 % as fragments and consisted of polyacrylamide, polyethylene terepthalate, polyvinyl alcohol, high density polyethylene, polyvinyl chloride acrylonitrile, polyethylene chlorinated, polypropylene with silicate mix, polychloroprene and polyethylene chlorosulphonated. The mean concentration of PTEs raged from ND to 0.07 mg/g for Cr and Mn, 0.73 to 5.63 mg/g for Fe, ND to 0.57mg/g for Co, 0.23 to 1.21 mg/g for Ni, 0.15 to 1.53 mg/g for Cu, and 0.12 to 0.63 mg/g for Zn. However, their daily intake was low for both adult and children as with the MPs. The sources of MPs and PTEs were mainly from the garri production processes, atmospheric dusts and during packaging. The non-carcinogenic risk for all samples was low for MPs while in openly vended garri, Ni and Cr in all sample poses carcinogenic risks. There is a need to improve indigenous garri processing techniques to minimize contamination. This research emphasizes the critical necessity to understand the consequences of MPs on human health.
    Language English
    Publishing date 2023-03-20
    Publishing country Korea (South)
    Document type Journal Article
    ISSN 2671-9525
    ISSN (online) 2671-9525
    DOI 10.5620/eaht.2023005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: An Approach to High-Resolution Rice Paddy Mapping Using Time-Series Sentinel-1 SAR Data in the Mun River Basin, Thailand

    He Li / Dongjie Fu / Chong Huang / Fenzhen Su / Qingsheng Liu / Gaohuan Liu / Shangrong Wu

    Remote Sensing, Vol 12, Iss 3959, p

    2020  Volume 3959

    Abstract: Timely and accurate regional rice paddy monitoring plays a significant role in maintaining the sustainable rice production, food security, and agricultural development. This study proposes an operational automatic approach to mapping rice paddies using ... ...

    Abstract Timely and accurate regional rice paddy monitoring plays a significant role in maintaining the sustainable rice production, food security, and agricultural development. This study proposes an operational automatic approach to mapping rice paddies using time-series SAR data. The proposed method integrates time-series Sentinel-1 data, auxiliary data of global surface water, and rice phenological characteristics with Google Earth Engine cloud computing platform. A total of 402 Sentinel-1 scenes from 2017 were used for mapping rice paddies extent in the Mun River basin. First, the calculated minimum and maximum values of the backscattering coefficient of permanent water (a classification type within global surface water data) in a year was used as the threshold range for extracting the potential extent. Then, three rice phenological characteristics were extracted based on the time-series curve of each pixel, namely the date of the beginning of the season (DBS), date of maximum backscatter during the peak growing season (DMP), and length of the vegetative stage (LVS). After setting a threshold for each phenological parameter, the final rice paddy extent was identified. Rice paddy map produced in this study was highly accurate and agreed well with field plot data and rice map products from the International Rice Research Institute (IRRI). The results had a total accuracy of 89.52% and an F1 score of 0.91, showing that the spatiotemporal pattern of extracted rice cover was consistent with ground truth samples in the Mun River basin. This approach could be expanded to other rice-growing regions at the national scale, or even the entire Indochina Peninsula and Southeast Asia.
    Keywords rice paddy ; time-series ; Sentinel-1 ; Google Earth Engine ; permanent water ; phenological characteristics ; Science ; Q
    Subject code 550
    Language English
    Publishing date 2020-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Generating Salt-Affected Irrigated Cropland Map in an Arid and Semi-Arid Region Using Multi-Sensor Remote Sensing Data

    Deji Wuyun / Junwei Bao / Luís Guilherme Teixeira Crusiol / Tuya Wulan / Liang Sun / Shangrong Wu / Qingqiang Xin / Zheng Sun / Ruiqing Chen / Jingyu Peng / Hongtao Xu / Nitu Wu / Anhong Hou / Lan Wu / Tingting Ren

    Remote Sensing, Vol 14, Iss 6010, p

    2022  Volume 6010

    Abstract: Soil salinization is a widespread environmental hazard and a major abiotic constraint affecting global food production and threatening food security. Salt-affected cropland is widely distributed in China, and the problem of salinization in the Hetao ... ...

    Abstract Soil salinization is a widespread environmental hazard and a major abiotic constraint affecting global food production and threatening food security. Salt-affected cropland is widely distributed in China, and the problem of salinization in the Hetao Irrigation District (HID) in the Inner Mongolia Autonomous Region is particularly prominent. The salt-affected soil in Inner Mongolia is 1.75 million hectares, accounting for 14.8% of the total land. Therefore, mapping saline cropland in the irrigation district of Inner Mongolia could evaluate the impacts of cropland soil salinization on the environment and food security. This study hypothesized that a reasonably accurate regional map of salt-affected cropland would result from a ground sampling approach based on PlanetScope images and the methodology developed by Sentinel multi-sensor images employing the machine learning algorithm in the cloud computing platform. Thus, a model was developed to create the salt-affected cropland map of HID in 2021 based on the modified cropland base map, valid saline and non-saline samples through consistency testing, and various spectral parameters, such as reflectance bands, published salinity indices, vegetation indices, and texture information. Additionally, multi-sensor data of Sentinel from dry and wet seasons were used to determine the best solution for mapping saline cropland. The results imply that combining the Sentinel-1 and Sentinel-2 data could map the soil salinity in HID during the dry season with reasonable accuracy and close to real time. Then, the indicators derived from the confusion matrix were used to validate the established model. As a result, the combined dataset, which included reflectance bands, spectral indices, vertical transmit–vertical receive (VV) and vertical transmit–horizontal receive (VH) polarization, and texture information, outperformed the highest overall accuracy at 0.8938, while the F1 scores for saline cropland and non-saline cropland are 0.8687 and 0.9109, respectively. According to the ...
    Keywords irrigation district ; cropland ; quantile and quantile plots testing ; dry season ; Google Earth Engine ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Mapping Spatial Distribution of Larch Plantations from Multi-Seasonal Landsat-8 OLI Imagery and Multi-Scale Textures Using Random Forests

    Tian Gao / Jiaojun Zhu / Xiao Zheng / Guiduo Shang / Liyan Huang / Shangrong Wu

    Remote Sensing, Vol 7, Iss 2, Pp 1702-

    2015  Volume 1720

    Abstract: The knowledge about spatial distribution of plantation forests is critical for forest management, monitoring programs and functional assessment. This study demonstrates the potential of multi-seasonal (spring, summer, autumn and winter) Landsat-8 ... ...

    Abstract The knowledge about spatial distribution of plantation forests is critical for forest management, monitoring programs and functional assessment. This study demonstrates the potential of multi-seasonal (spring, summer, autumn and winter) Landsat-8 Operational Land Imager imageries with random forests (RF) modeling to map larch plantations (LP) in a typical plantation forest landscape in North China. The spectral bands and two types of textures were applied for creating 675 input variables of RF. An accuracy of 92.7% for LP, with a Kappa coefficient of 0.834, was attained using the RF model. A RF-based importance assessment reveals that the spectral bands and bivariate textural features calculated by pseudo-cross variogram (PC) strongly promoted forest class-separability, whereas the univariate textural features influenced weakly. A feature selection strategy eliminated 93% of variables, and then a subset of the 47 most essential variables was generated. In this subset, PC texture derived from summer and winter appeared the most frequently, suggesting that this variability in growing peak season and non-growing season can effectively enhance forest class-separability. A RF classifier applied to the subset led to 91.9% accuracy for LP, with a Kappa coefficient of 0.829. This study provides an insight into approaches for discriminating plantation forests with phenological behaviors.
    Keywords larch plantations ; forest type classification ; multi-seasonal imageries ; texture ; random forests ; variable assessment ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2015-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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