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| 1 | China's lakes at present:Number,area and spatial distribution显示文摘Based on 11004 satellite images from CBERS CCD and Landsat TM/ETM,changes in the spatial characteristics of all lakes in China were determined following pre-established interpretation rules.This dataset was supported by 6843 digital raster images(1:100000 and 1:50000),a countrywide digital vector dataset(1:250000),and historical literature.Comparative data were corrected for seasonal variations using precipitation data.There are presently 2693 natural lakes in China with an area greater than 1.0 km2,excluding reservoirs.These lakes are distributed in 28 provinces,autonomous regions and municipalities and have a total area of 81414.6 km2,accounting for-0.9% of China's total land area.In the past 30 years,the number of newly formed and newly discovered lakes with an area greater than 1.0 km2 is 60 and 131,respectively.Conversely,243 lakes have disappeared in this time period. | MA RongHua YANG GuiShan DUAN HongTao JIANG JiaHu WANG SuMin FENG XueZhi LI AiNong KONG FanXiang XUE Bin WU JingLu LI ShiJie | 2011 | Science China Earth Sciences2011，54，2： | 79 |
| 2 | Monitoring lake changes of Qinghai-Tibetan Plateau over the past 30 years using satellite remote sensing data显示文摘During the years 2006–2009,lakes in the Qinghai-Tibetan Plateau(QTP)were investigated using satellite remote sensing strategies.We report the results of this investigation as well as follow-up research and expanded work.For the investigation,we mainly focused on lakes whose areas are more than 1 km2.The remote sensing data that we used included 408 scenes of CBERS CCD images and 5 scenes of Landsat ETM?images in Qinghai Province and Tibet Autonomous Region.All these data were acquired around years 2005–2006.Besides remote sensing images,we also collected 1,259 topographic maps.Numbers and areas of lakes were analyzed statistically,which were then compared with those coming from the first lake investigation(implemented between the1960s and 1980s).According to our investigation,up to and around year 2005–2006,the total number of lakes in the QTP was 1,055(222 in Qinghai and 833 in Tibet),accounting for more than 30%of that of China.Thirty newborn lakes with area[1 km2were found,and 5 dead lakes with initial area[1 km2were also found.Among those 13 big lakes([500 km2),Yamzhog Yumco had seriously shrunk,and it has continued to shrink in recent years;Qinghai Lake had shrunk during the period,but some new researches indicated that it has been expanding since the year 2004;Siling Co,Nam Co,and Chibuzhang Co had expanded in the period.We divided the newborn lakes into six categories according to their forming reasons,including river expansion,wetland conversion,etc.The changes of natural conditions led to the death of four lakes,and human exploitation was the main reason for the death of Dalianhai Lake in Qinghai.We picked out three regions which were sensitive to the change of climate and ecological environment:Nagqu Region,Kekexili Region,and the source area of the Yellow River(SAYR).Lakes in both Nagqu and Kekexili have been expanded;meanwhile,most lakes in the SAYR have obviously been shrunk.These regional patterns of lake changes were highly related to variations of temperature,glacier,precipitation,and evaporation.Our investigation and analysis will provide references for researches related to lake changes in the QTP and the response to climate fluctuations. | Wei Wan Pengfeng Xiao Xuezhi Feng Hui Li Ronghua Ma Hongtao Duan Limin Zhao | 2014 | Chinese Science Bulletin2014，59，10： | 22 |
| 3 | Prognosis of R1-resection at the bronchial stump in patients with non-small cell lung cancer显示文摘 | Lyu Jima Hao Xuezhi Hui Zhouguang Liang Jun Zhou Zongmei Feng Qinfu Xiao Zefen Chen Dongfu Zhang Hongxing Wang Lyuhua | 2014 | Chinese Medical Journal2014，，16： | 6 |
| 4 | Using autologistic spatial models to simulate the distribution of land-use patterns in Zhangjiajie, Hunan Province显示文摘Nowadays,spatial simulation on land use patterns is one of the key contents of LUCC.Modeling is an important tool for simulating land use patterns due to its ability to inte-grate measurements of changes in land cover and the associated drivers.The conventional regression model can only analyze the correlation between land use types and driving factors, but cannot depict the spatial autocorrelation characteristics.Land uses in Yongding County, which is located in the typical karst mountain areas in northwestern Hunan province,were investigated by means of modeling the spatial autocorrelation of land use types with the purpose of deriving better spatial land use patterns on the basis of terrain characteristics and infrastructural conditions.Through incorporating components describing the spatial autocor-relation into a conventional logistic model,we constructed a regression model(Autologistic model),and used this model to simulate and analyze the spatial land use patterns in Yong- ding County.According to the comparison with the conventional logistic model without con- sidering the spatial autocorrelation,this model showed better goodness and higher accuracy of fitting.The distribution of arable land,wood land,built-up land and unused land yielded areas under the ROC curves(AUC)was improved to 0.893,0.940,0.907 and 0.863 respec- tively with the autologistic model.It is argued that the improved model based on autologistic method was reasonable to a certain extent.Meanwhile,these analysis results could provide valuable information for modeling future land use change scenarios with actual conditions of local and regional land use,and the probability maps of land use types obtained from this study could also support government decision-making on land use management for Yongding County and other similar areas. | WU Guiping ZENG Yongnian XIAO Pengfeng FENG Xuezhi HU Xiaotian | 2010 | Journal of Geographical Sciences2010，20，2： | 6 |
| 5 | A Method for Retrieving Water-leaving Radiance from Landsat TM Image in Taihu Lake, East China显示文摘The visible and infrared bands of Landsat Thematic Mapper (TM) can be used for inland water studies. A method of retrieving water-leaving radiance from TM image over Taihu Lake in Jiangsu Province of China was investigated in this article. To estimate water-leaving radiance, atmospheric correction was performed in three visible bands of 485nm, 560nm and 660nm. Rayleigh scattering was computed precisely, and the aerosol contribution was estimated by adopting the clear-water-pixels approach. The clear waters were identified by using the Landsat TM middle-infrared band (2.1μm), and the water-leaving radiance of clear water pixels in the green band was estimated by using field data. Aerosol scattering at green band was derived for six points, and interpolated to match the TM image. Assuming the atmospheric correction coefficient was 1.0, the aerosol scattering image at blue and red bands were derived. Based on a simplified atmospheric radiation transfer model, the water-leaving radiance for three visible bands was retrieved. The water-leaving radiance was normalized to make it comparable with that estimated from other remotely sensed data acquired at different times, and under different atmospheric conditions. Additionally, remotely sensed reflectance of water was computed. To evaluate the atmospheric correction method presented in this article, the correlation was analyzed between the corrected remotely sensed data and the measured water parameters based on the retrieval model. The results show that the atmospheric correction method based on the image itself is more effective for the retrieval of water parameters from Landsat TM data than 6S (Second Simulation of the Satellite Signal in the Solar Spectrum) code based on standard atmospheric and aerosol models. | WANG Deyu FENG Xuezhi MA Ronghua KANG Guoding | 2007 | Chinese Geographical Science2007，17，4： | 3 |
| 6 | Uncertainty analysis of cross-calibration for HJ-1 CCD camera显示文摘Radiometric calibration of sensor is the basis of quantitative remote sensing,and uncertainty analysis is critical to ensure the accuracy of cross-calibration.Therefore,firstly,cross-calibration formulas were improved by redefining calibration coefficient and spectral band matching factor.In these formulas,cci was redefined as the calibration coefficient of normalized apparent reflectance,and spectral band matching factor as the ratio of normalized apparent reflectance.Secondly,based on the contrast of ideal and actual conditions in cross-calibration,8 sources of cross-calibration uncertainty were proposed:calibration uncertainty of standard sensor;pixel matching uncertainty;spectral band matching factor uncertainty caused by site altitude setting error,atmospheric parameters setting error,surface spectrum source,surface bidirectional reflectance characteristic,and error of atmospheric radiative transfer model;and uncertainty caused by other factors which were not considered.Finally,the contribution of each uncertainty was further analyzed and discussed for the HJ-1 CCD camera.The results provide many valuable references for evaluating the feasibility of alternative cross-calibration measurements. | WANG Zuo XIAO PengFeng GU XingFa FENG XueZhi LI XiaoYing GAO HaiLiang LI Hui LIN JinTang ZHANG XueLiang | 2013 | Chinese Science Bulletin2013，58，7： | 3 |
| 7 | Analysis of the origin of peak aerosol optical depth in springtime over the Gulf of Tonkin显示文摘By aggregating MODIS(moderate-resolution imaging spectroradiometer) AOD(aerosol optical depth) and OMI(ozone monitoring instrument) UVAI(ultra violet aerosol index)datasets over 2010–2014, it was found that peak aerosol loading in seasonal variation occurred annually in spring over the Gulf of Tonkin(17–23°N, 105–110°E). The vertical structure of the aerosol extinction coefficient retrieved from the spaceborne lidar CALIOP(cloud-aerosol lidar with orthogonal polarization) showed that the springtime peak AOD could be attributed to an abrupt increase in aerosol loading between altitudes of 2 and 5 km.In contrast, aerosol loading in the low atmosphere(below 1 km) was only half of that in winter. Wind fields in the low and high atmosphere exhibited opposite transportation patterns in spring over the Gulf of Tonkin, implying different sources for each level. By comparing the emission inventory of anthropogenic sources with biomass burning, and analyzing the seasonal variation of the vertical structure of aerosols over the Northern Indo-China Peninsula(NIC), it was concluded that biomass burning emissions contributed to high aerosol loading in spring. The relatively high topography and the high surface temperature in spring made planetary boundary layer height greater than 3 km over NIC. In addition, small-scale cumulus convection frequently occurred, facilitating pollutant rising to over 3 km, which was a height favoring long-range transport. Thus, pollutants emitted from biomass burning over NIC in spring were raised to the high atmosphere, then experienced long-range transport, leading to the increase in aerosol loading at high altitudes over the Gulf of Tonkin during spring. | Xiaoli Shan Jun Xu Yixue Li Feng Han Xiaohui Du Jingying Mao Yunbo Chen Youjiang He Fan Meng Xuezhi Dai | 2016 | Journal of Environmental Sciences2016，28，2： | 2 |
| 8 | A New Game Algorithm for Power Control in Cognitive Radio Networks显示文摘 | LI Feng TAN Xuezhi | 2011 | IEEE Transactions On Vehicular Technology2011，60，9： | 1 |
| 9 | Effect of Uncertainty of Grid DEM on TOPMODEL:Evaluation and Analysis显示文摘TOPMODEL,a semi-distributed hydrological model,has been widely used.In the process of simulation of the model,Digital Elevation Model(DEM) is used to provide the input data,such as topographic index and distance to the drainage outlet;thus DEM plays an important role in TOPMODEL.This study aims at examining the impacts of DEM uncertainty on the simulation results of TOPMODEL.In this paper,the effects were evaluated mainly from quantitative and qualitative aspects.Firstly,DEM uncertainty was simulated by using the Monte Carlo method,and for every DEM realization,the topographic index and distance to the drainage outlet were extracted.Secondly,the obtained topographic index and the distance to the drainage outlet were input to the TOPMODEL to simulate seven rain-storm-flood events,and four evaluation indices,such as Nash and Sutcliffe efficiency criterion(EFF),sum of squared residuals over all time steps(SSE),sum of squared log residuals over all time steps(SLE) and sum of absolute errors over all time steps(SAE) were recorded.Thirdly,these four evaluation indices were analyzed in statistical manner(minimum,maximum,range,standard deviation and mean value),and effect of DEM uncertainty on TOPMODEL was quantitatively analyzed.Finally,the simulated hydrographs from TOPMODEL using the original DEM and realizations of DEM were qualitatively evaluated under each flood cases.Results show that the effect of DEM uncertainty on TOPMODEL is inconsiderable and could be ignored in the model’s application.This can be explained by:1) TOPMODEL is not sensitive to the distribution of topographic index and distance to the drainage outlet;2) the distri-bution of topographic index and distance to the drainage outlet are slightly affected by DEM uncertainty. | WANG Peifa DU Jinkang FENG Xuezhi KANG Guoding | 2006 | Chinese Geographical Science2006，16，4： | 1 |
| 10 | Ganjiang granule regulates cecal microflora and serum biochemical components in a rat model of constipation-predominant irritable bowel syndrome显示文摘Objective:To investigate the effects of Ganjiang granule(GG)on cecal microflora and serum biochemical components in rats with constipation-predominant irritable bowel syndrome(IBSeC).Methods:Twenty-four SpragueeDawley rats were randomly divided into four groups:control,model,GG,and probiotics.Rats in the model,GG,and probiotics groups received 3℃ tap water intragastrically;rats in the GG group were treated with GG;rats in the probiotics group were treated with probiotics.For all rats,enzyme-linked immunosorbent assay and colorimetry were used to assess serum biochemical components related to gastrointestinal function;16S rRNA high-throughput sequencing was used to analyze the cecal microflora.Results:The serum level of 5-hydroxytryptamine(HT)was higher in the model group than in the control group(Z=-2.082,P=.037).The model group exhibited changes in cecal microflora:the relative abundances of Lactobacillus decreased(Z=-2.882,P=.004)and Dorea increased(t=-3.030,P=.023),compared with the control group.The GG and probiotics groups exhibited normal serum levels of 5-HT.The GG and probiotics groups exhibited improved serum levels of gastrin;the probiotics group exhibited an improved serum level of vasoactive intestinal peptide.Compared with the model group,The GG group exhibited greater relative abundance of Ruminococcus(Z=-2.402,P=.016);the probiotics group exhibited greater relative abundance of SMB53(Z=-2.823,P=.005)and lower relative abundances of Desulfovibrio(Z=-2.823,P=.005)and Facklamia(Z=-2.608,P=.009).Conclusion:The effects of GG on IBS-C may be related to regulation of the serum level of 5-HT,as well as elevated relative abundance of beneficial bacteria in cecal microflora. | Lujiao Gao Xin Niu Tingli Niu Xuan Wang Xiaoyan Lu Jiewei Hong Qianjin Feng Xuezhi Yang Roberto Gonzalez | 2020 | Journal of Traditional Chinese Medical Sciences2020，7，2： | 1 |
| 11 | Image feature detection from phase congruency based on two-dimensional hil- bert transform 显示文摘 | Wang Ke Xiao Pengfen Feng Xuezhi | 2011 | Pattern Recognition Letters2011，32，15： | 1 |
| 12 | Seg- mentation of Multispectral Highresolution Satellite Imagery Using Log Gabor Filters显示文摘 | Xiao Pengfeng Feng Xuezhi An Ru | | 0，，06： | 1 |
| 13 | Image feature detection from phase congruency based on twodimensional Hilbert transform显示文摘 | Wang Ke Xiao Pengfeng Feng Xuezhi | 2011 | Pattern Recognition Letters2011，32，15： | 1 |
| 14 | Three-photon indirect sensitization in green upconversion luminescence of Er/Tm codoped NaY(WO4)2 crystal显示文摘 | Song Feng Zhang Kang Su Jing Han Lin Liang Jing Zhang Xuezhi Yan Lihua Tian Jianguo Xu Jingjun | 2006 | Optics Express2006，14，12： | 1 |
| 15 | Photo-catalytic Staphylococcus aureus inactivation and biofilm destruction with novel bis-tridentate iridium(Ⅲ) photocatalyst显示文摘Bacterial infection is currently a serious challenge globally, causing death of thousands of human beings. New antimicrobial agents with novel mechanism of action are urgently needed. Transition metal complexes have shown great potentials in photodynamic and photocatalytic therapy. Herein, we take full advantage of metal photocatalyst and successfully developed a novel cyclometalated iridium(Ⅲ) complex(Ir1) with higher biofilm damage efficiency than the clinical antibiotics. Ir1 synergistically generates reactive oxygen species and coenzyme photocatalytic activity with high efficiency under white light irradiation. Combined with these properties, Ir1 exhibited excellent photoinactivation of S. aureus and effectively damaged the biofilm. This work provides a new approach for the development of antibacterial photodynamic therapy. | Shihao Chen Zhishang Zhang Li Wei Zhongxian Fan Yue Li Xuezhi Wang Tongming Feng Huaiyi Huang | 2023 | Chinese Chemical Letters2023，34，11： | 0 |
| 16 | Curative efficacy of extract from Ganjiangdazao recipe on functional dyspepsia in rats显示文摘OBJECTIVE:To evaluate the efficacy of the extract from Ganjiangdazao recipe(EGR)on functional dyspepsia in rats with spleen-stomach deficiency cold pattern(SSDCP)in terms of Traditional Chinese Medicine,and to investigate its pharmacodynamics.METHODS:Sixty Sprague-Dawley rats were randomly divided into the control group,SSDCP group,low-EGR SSDCP group,high-EGR SSDCP group,probiotics group,EGR group.SSDCP model was induced by gavage with the 0℃edible vinegar.The symptoms and manifestations were scored by method from the relative literature,the ecological changes in cecal microflora was analyzed by 16SrRNA high-throughput sequencing technology,gastric tissues were treated by immunohistochemistry,the levels of related biochemical components related to the gastrointestinal functions were detected by enzyme-linked immunosorbent assay and colorimetry,gastric juice was measured by pH meter,blood pressure measurement by trapping tail method,surface temperature measured by infrared thermal imaging,and the content of 6-gingerol in the serum was determined by liquid-mass chromatography before and after EGR was given.RESULTS:It was found that EGR could effectively relieve the symptoms and manifestations of the SSDCP rats(P<0.05);the value of the relative abundance of Lactobacillus,Streptococcus,Enterococcus and Coprobacillus increased,while the value of the relative abundance of Clostridium decreased(P<0.05)in the cecal microflora in the SSDCP rats after high-EGR administration;It was also found that EGR had no substantial effect on the related biochemical components related to the gastrointestinal functions of in the SSDCP rats;and a certain amount of 6-gingerol was detected in the serum of EGR group.CONCLUSION:The pharmacodynamic site of EGR is the intestinal tract,and the mechanism behind the effect of EGR on SSDCP rats,involves increasing the beneficial bacteria and decreasing the proinflammatory bacteria in the intestinal tract.The blood pharmacodynamics of EGR remains to be further studied in the future. | Gao Lujiao Niu Xin Niu Tingli Wang Xuan Lu Xiaoyan Feng Qianjin Yang Xuezhi | 2020 | Journal of Traditional Chinese Medicine2020，40，4： | 0 |
| 17 | Material decomposition of spectral CT images via attention-based global convolutional generative adversarial network显示文摘Spectral computed tomography(CT)based on photon counting detectors can resolve the energy of every single photon interacting with the sensor layer and be used to analyze material attenuation information under different energy ranges,which can be helpful for material decomposition studies.However,there is a considerable amount of inherent quantum noise in narrow energy bins,resulting in a low signal-to-noise ratio,which can consequently affect the material decomposition performance in the image domain.Deep learning technology is currently widely used in medical image segmentation,denoising,and recognition.In order to improve the results of material decomposition,we propose an attention-based global convolutional generative adversarial network(AGC-GAN)to decompose different materials for spectral CT.Specifically,our network is a global convolutional neural network based on an attention mechanism that is combined with a generative adversarial network.The global convolutional network based on the attention mechanism is used as the generator,and a patchGAN discriminant network is used as the discriminator.Meanwhile,a clinical spectral CT image dataset is used to verify the feasibility of our proposed approach.Extensive experimental results demonstrate that AGC-GAN achieves a better material decomposition performance than vanilla U-Net,fully convolutional network,and fully convolutional denseNet.Remarkably,the mean intersection over union,structural similarity,mean precision,PAcc,and mean F1-score of our method reach up to 87.31%,94.83%,93.22%,97.39%,and 93.05%,respectively. | Xiaodong Guo Peng He Xiaojie Lv Xuezhi Ren Yonghui Li Yuanfeng Liu Xiaohua Lei Peng Feng Hongming Shan | 2023 | Nuclear Science and Techniques2023，34，3： | 0 |
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