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| 1 | Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer显示文摘Flood events and their impact on crops are extremely significant scientific research issues; however,flood monitoring is an exceedingly complicated process. Flood damages on crops are directly related to yield change,which requires accurate assessment to quantify the damages. Various remote sensing products and indices have been used in the past for this purpose. This paper utilizes the moderate resolution imaging spectroradiometer(MODIS) weekly normalized difference vegetation index(NDVI) product to detect and further quantify flood damages on corn within the major corn producing states in the Midwest region of the US. County-level analyses were performed by taking weighted average of all pure corn pixels(>90%) masked by the United States Department of Agriculture(USDA) Cropland Data Layer(CDL). The NDVI-based time-series difference between flood years and normal year(median of years 2000–2014) was used to detect flood occurrences. To further measure the impact of the flood on corn yield,regression analysis between change in NDVI and change in corn yield as independent and dependent variables respectively was performed for 30 different flooding events within growing seasons of the corn. With the R2 value of 0.85,the model indicates statistically significant linear relation between the NDVI and corn yield. Testing the predictability of the model with 10 new cases,the average relative error of the model was only 4.47%. Furthermore,small error(4.8%) of leave-one-out cross validation(LOOCV) along with smaller statistical error indicators(root mean square error(RMSE),mean absolute error(MAE),and mean bias error(MBE)),further validated the accuracy of the model. Utilizing the linear regression approach,change in NDVI during the growing season of corn appeared to be a good indicator to quantify the yield loss due to flood. Additionally,with the 250 m MODIS-based NDVI,these yield losses can be estimated up to field level. | Ran jay Shrestha Liping Di Eugene G. Yu Lingjun Kang SHAO Yuan-zhen BAI Yu-qi | 2017 | Journal of Integrative Agriculture2017，16，2： | 8 |
| 2 | Glucocorticoid receptor modulates myeloid-derived suppressor cell function via mitochondrial metabolism in immune thrombocytopenia显示文摘Myeloid-derived suppressor cells(MDSCs)are a heterogeneous population of immature cells and natural inhibitors of adaptive immunity.Intracellular metabolic changes in MDSCs exert a direct immunological influence on their suppressive activity.Our previous study demonstrated that high-dose dexamethasone(HD-DXM)corrected the functional impairment of MDSCs in immune thrombocytopenia(ITP);however,the MDSC population was not restored in nonresponders,and the mechanism remained unclear.In this study,altered mitochondrial physiology and reduced mitochondrial gene transcription were detected in MDSCs from HD-DXM nonresponders,accompanied by decreased levels of carnitine palmitoyltransferase-1(CPT-1),a rate-limiting enzyme in fatty acid oxidation(FAO).Blockade of FAO with a CPT-1 inhibitor abolished the immunosuppressive function of MDSCs in HD-DXM responders.We also report that MDSCs from ITP patients had lower expression of the glucocorticoid receptor(GR),which can translocate into mitochondria to regulate the transcription of mitochondrial DNA(mtDNA)as well as the level of oxidative phosphorylation.It was confirmed that the expression of CPT-1 and mtDNA-encoded genes was downregulated in GR-siRNA-treated murine MDSCs.Finally,by establishing murine models of active and passive ITP via adoptive transfer of DXM-modulated MDSCs,we confirmed that GR-silenced MDSCs failed to alleviate thrombocytopenia in mice with ITP.In conclusion,our study indicated that impaired aerobic metabolism in MDSCs participates in the pathogenesis of glucocorticoid resistance in ITP and that intact control of MDSC metabolism by GR contributes to the homeostatic regulation of immunosuppressive cell function. | Yu Hou Jie Xie Shuwen Wang Daqi Li Lingjun Wang Haoyi Wang Xiaofei Ni Shaoqiu Leng Guosheng Li Ming Hou Jun Peng | 2022 | Cellular & Molecular Immunology2022，19，7： | 4 |
| 3 | Synthesis,characterization,and photocatalytic activity of porous La–N–co-doped TiO_2 nanotubes for gaseous chlorobenzene oxidation显示文摘The photocatalytic oxidation of gaseous chlorobenzene(CB) by the 365 nm-induced photocatalyst La/N–Ti O2, synthesized via a sol–gel and hydrothermal method, was evaluated. Response surface methodology(RSM) was used to model and optimize the conditions for synthesis of the photocatalyst. The optimal photocatalyst was 1.2La/0.5N–Ti O2(0.5) and the effects of La/N on crystalline structure, particle morphology, surface element content, and other structural characteristics were investigated by XRD(X-ray diffraction), TEM(Transmission Electron Microscopy), FTIR(Fourier transform infrared spectroscopy), UV–vis(Ultraviolet–visible spectroscopy), and BET(Brunauer Emmett Teller). Greater surface area and smaller particle size were produced with the co-doped Ti O2 nanotubes than with reference Ti O2. The removal of CB was effective when performed using the synthesized photocatalyst,though it was less efficient at higher initial CB concentrations. Various modified Langmuir-Hinshelwood kinetic models involving the adsorption of chlorobenzene and water on different active sites were evaluated. Fitting results suggested that competitive adsorption caused by water molecules could not be neglected, especially for environments with high relative humidity. The reaction intermediates found after GC–MS(Gas chromatography–mass spectrometry) analysis indicated that most were soluble, low-toxicity, or both. The results demonstrated that the prepared photocatalyst had high activity for VOC(volatile organic compounds) conversion and may be used as a pretreatment prior to biopurification. | Zhuowei Cheng Zhiqi Gu Jianmeng Chen Jianming Yu Lingjun Zhou | 2016 | Journal of Environmental Sciences2016，28，8： | 4 |
| 4 | Minimum Control Energy of Spatial Beam with Assumed Attitude Adjustment Target显示文摘The dynamic analysis on the ultra-large spatial structure can be simplified drastically by ignoring the flexibility and damping of the structure.However,these simplifications will result in the erroneous estimate on the dynamic behaviors of the ultra-large spatial structure.Taking the spatial beam as an example,the minimum control energy defined by the difference between the initial total energy and the final total energy in the assumed stable attitude state of the beam is investigated by the structure-preserving method proposed in our previous studies in two cases:the spatial beam considering the flexibility as well as the damping effect,and the spatial beam ignoring both the flexibility and the damping effect.In the numerical experiments,the assumed simulation interval of three months is evaluated on whether or not it is long enough for the spatial flexible damping beam to arrive at the assumed stable attitude state.And then,taking the initial attitude angle and the initial attitude angle velocity as the independent variables,respectively,the minimum control energies of the mentioned two cases are investigated in detail.From the numerical results,the following conclusions can be obtained.With the fixed initial attitude angle velocity,the minimum control energy of the spatial flexible damping beam is higher than that of the spatial rigid beam when the initial attitude angle is close to or far away from the stable attitude state.With the fixed initial attitude angle,ignoring the flexibility and the damping effect will underestimate the minimum control energy of the spatial beam. | Weipeng Hu Lingjun Yu Zichen Deng | 2020 | Acta Mechanica Solida Sinica2020，33，1： | 4 |
| 5 | RF-CLASS: A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making显示文摘Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss,such as flooded acreage and degree of crop damage,is very important for crop monitoring and risk management in agricultural and disaster-related decision-making at many concerned agencies. Currently concerned agencies mostly rely on field surveys to obtain crop loss information and compensate farmers' loss claim. Such methods are expensive,labor intensive,and time consumptive,especially for a large flood that affects a large geographic area. The results from such methods suffer from inaccuracy,subjectiveness,untimeliness,and lack of reproducibility. Recent studies have demonstrated that Earth observation(EO) data could be used in post-flood crop loss assessment for a large geographic area objectively,timely,accurately,and cost effectively. However,there is no operational decision support system,which employs such EO-based data and algorithms for operational flood-related crop decision-making. This paper describes the development of an EO-based flood crop loss assessment cyber-service system,RF-CLASS,for supporting flood-related crop statistics and insurance decision-making. Based on the service-orientated architecture,RF-CLASS has been implemented with open interoperability specifications to facilitate the interoperability with EO data systems,particularly the National Aeronautics and Space Administration(NASA) Earth Observing System Data and Information System(EOSDIS),for automatically fetching the input data from the data systems. Validated EO algorithms have been implemented as web services in the system to operationally produce a set of flood-related products from EO data,such as flood frequency,flooded acreage,and degree of crop damage,for supporting decision-making in flood statistics and flood crop insurance policy. The system leverages recent advances in the remote sensing-based flood monitoring and assessment,the near-real-time availability of EO data,the service-oriented architecture,geospatial interoperability standards,and the standard-based geospatial web service technology. The prototypical system has automatically generated the flood crop loss products and demonstrated the feasibility of using such products to improve the agricultural decision-making. Evaluation of system by the end-user agencies indicates that significant improvement on flood-related crop decision-making has been achieved with the system. | Liping Di Eugene G. Yu Lingjun Kang Ranjay Shrestha BAI Yu-qi | 2017 | Journal of Integrative Agriculture2017，16，2： | 3 |
| 6 | "Smart Cafe": A Mobile Local Computing System Based On Indoor Virtual Cloud显示文摘With network developing and virtualization rising,more and more indoor environment(POIs) such as cafe,library,office,even bus and subway can provide plenty of bandwidth and computing resources.Meanwhile many people daily spending much time in them are still suffering from the mobile device with limited resources.This situation implies a novel local cloud computing paradigm in which mobile device can leverage nearby resources to facilitate task execution.In this paper,we implement a mobile local computing system based on indoor virtual cloud.This system mainly contains three key components:1) As to application,we create a parser to generate the 'method call and cost tree' and analyze it to identify resourceintensive methods.2) As to mobile device,we design a self-learning execution controller to make offloading decision at runtime.3) As to cloud,we construct a social scheduling based application-isolation virtual cloud model.The evaluation results demonstrate that our system is effective and efficient by evaluating CPUintensive calculation application.Memoryintensive image translation application and 1/O-intensive image downloading application. | PU Lingjun XU Jingdong YU Bowen ZHANG Jianzhong | 2014 | China Communications2014，11，4： | 2 |
| 7 | Antitumor effects of ginsenoside Rg3 on human hepatocellular carcinomacells显示文摘 | Chunle Zhang Lingjun Liu Yang Yu Bin Chen Chengwei Tang Xiao Li | 2012 | Molecular Medicine Reports2012，，5： | 1 |
| 8 | Antitumor effects of ginsenoside Rg3 on human hepatocellular carcinomacells显示文摘 | Chunle Zhang Lingjun Liu Yang Yu Bin Chen Chengwei Tang Xiao Li | 2012 | Molecular Medicine Reports2012，，5： | 1 |
| 9 | In Search of Calligraphic Perfection显示文摘Shang Shiqiang, now in his 70s, has dedicated his life to calligraphy. He is by no means famed as a professional calligrapher.There are thousands and thousands like him. But a closer look at his calligraphic art reveals how far he has journeyed in his search of perfection. Shang was among the first members of Zhejiang Calligraphers’Association when it came into being in 1981 and he is honorary president of Calligraphers’ Association of Lin’an City. | Yu Lingjun Tong Shangsheng | 2017 | 文化交流2017，，1： | 0 |
| 10 | The Development of Fullerenes in Cosmetics from Domestic and Worldwide Patent Data显示文摘Fullerene is an excellent anti-aging raw material for cosmetic industry,which has strong free radical scavenging ability.Current work on fullerene has been mostly focused on its applications and properties,but there are few studies on the patents regarding its application in cosmetics.Herein,the development of fullerene in its application in cosmetics was analyzed by searching the patents regarding fullerene in cosmetic industry in the databases from China National Intellectual Property Administration and European Patent Office.The main technical fields of patents,the applicants and inventors,the publication date and the region were analyzed.Data comparison was also conducted according to above aspects at home and abroad.It was found that fullerene-containing cosmetics in China was generally consistent with the world level.China started a little later than other countries in terms of time;there are quality problems worldwide,e.g.,the lack of technical innovation.Most patents mainly related to appearance or packaging.As the second largest patent applicant country for fullerene-containing cosmetics in the world,China obviously has leading advantage in terms of quantity.Among the applicant regions being considered,fullerene industry giants such as Japanese Mitsubishi are the main ones.Due to the late start of domestic enterprises,there is still a big gap with the world’s leading groups.However,in cosmetics industry,it can be said that domestic enterprises have taken the initiative when contrasted with traditional overseas brands. | Gu Lingjun Shang Jingjing Li Guoqing Yu Hongmei Tian Wenhuai | 2022 | China Detergent & Cosmetics2022，7，2： | 0 |
| 11 | Machine learning accelerated carbon neutrality research using big data-from predictive models to interatomic potentials显示文摘Carbon neutrality has been proposed as a solution for the current severe energy and climate crisis caused by the overuse of fossil fuels, and machine learning(ML) has exhibited excellent performance in accelerating related research owing to its powerful capacity for big data processing. This review presents a detailed overview of ML accelerated carbon neutrality research with a focus on energy management, screening of novel energy materials, and ML interatomic potentials(MLIPs), with illustrations of two selected MLIP algorithms: moment tensor potential(MTP) and neural equivariant interatomic potential(NequIP). We conclude by outlining the important role of ML in accelerating the achievement of carbon neutrality from global-scale energy management, unprecedented screening of advanced energy materials in massive chemical space, to the revolution of atomicscale simulations of MLIPs, which has the bright prospect of applications. | WU LingJun XU ZhenMing WANG ZiXuan CHEN ZiJian HUANG ZhiChao PENG Chao PEI XiangDong LI XiangGuo MAILOA Jonathan P HSIEH Chang-Yu WU Tao YU Xue-Feng ZHAO HaiTao | 2022 | Science China(Technological Sciences)2022，65，10： | 0 |
| 12 | Environmental Effects of Foreign Trade and Its Spatial Variations in Mid-eastern Provinces and Cities of China显示文摘The studies on environmental effects of foreign trade and its spatial variations are helpful to design and implement environmental protection countermeasures.In order to eliminate the adverse effects of insufficient observation values on the accuracy of regression results and dynamic information quantity of fitting equation during empirical study,panel data of the mid-eastern provinces and cities of China from 1985 to 2007 were selected based on the adjustment of classical regression model in this paper.Panel unit root test and panel cointegration analysis method were applied to investigating the environmental effects of foreign trade and its spatial variations in the mid-eastern provinces and cities of China and its three groups divided by foreign trade dependence.The results show that all scale effects are positive,while all technical effects are negative and unable to counteract positive scale effects.Foreign trade development is regarded as an important cause for outstanding eco-environmental problems in the mid-eastern provinces and cities of China.Total effects and structural effects are significantly different among different groups because of spatial variations in environmental policies,export destinations,source of FDI,etc.Following the principle of′coordinating generality and considering differences comprehensively′,it is essential to issue a series of policies and countermeasures corresponding to differences in regional environmental effect of foreign trade,in order to coordinate the relationship between foreign trade development and eco-environment in each region. | JIN Xianfeng DONG Suocheng LUO Lingjun LI Yu YUAN Chao SHU Kesheng CHEN Jiaquan | 2012 | Chinese Geographical Science2012，22，5： | 0 |
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