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| 1 | Transplantation of UC-MSCs on collagen scaffold activates follicles in dormant ovaries of POF patients with long history of infertility显示文摘Premature ovarian failure(POF) is a refractory disease for clinical treatment with the goal of restoring fertility. In this study,umbilical cord mesenchymal stem cells on a collagen scaffold(collagen/UC-MSCs) can activate primordial follicles in vitro via phosphorylation of FOXO3 a and FOXO1. Transplantation of collagen/UC-MSCs to the ovaries of POF patients rescued overall ovarian function, evidenced by elevated estradiol concentrations, improved follicular development, and increased number of antral follicles. Successful clinical pregnancy was achieved in women with POF after transplantation of collagen/UC-MSCs or UC-MSCs. In summary, collagen/UC-MSC transplantation may provide an effective treatment for POF. | Lijun Ding Guijun Yan Bin Wang Lu Xu Yan Gu Tong Ru Xiaoying Cui Lei Lei Jingyu Liu Xiaoqiang Sheng Bin Wang Chunxue Zhang Yanjun Yang Ruiwei Jiang Jianjun Zhou Na Kong Feifei Lu Huaijun Zhou Yannan Zhao Bing Chen Yali Hu Jianwu Dai Haixiang Sun | 2018 | Science China(Life Sciences)2018，61，12： | 43 |
| 2 | Biphasic insulin aspart 30 improved glycemic control in Chinese patients with type 2 diabetes poorly controlled on oral glucose-lowering drugs: a subgroup analysis of the A1chieve study显示文摘 | Chen Liming Xing Xiaoyan Lei Minxiang Liu Jie Shi Yongquan Li Pengqiu Qin Guijun Li Chengjiang Li Yukun Wang Qing Gao Tianshu Hu Ling Wang Yangwei Yang Wenying | 2014 | Chinese Medical Journal2014，，2： | 19 |
| 3 | Weak minimum aberration and maximum number of clear two-factor interactions in 2_(IV)^(m-p)designs显示文摘 | YANG Guijun,LIU Minqian & ZHANG Runchu Department of Statistics, Tianjin University of Finance and Economics, Tianjin 300222, China Department of Statistics, School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China | 2005 | Science China Mathematics2005，48，11： | 12 |
| 4 | Additive manufacturing of steel–copper functionally graded material with ultrahigh bonding strength显示文摘Additive manufacturing enables processing of functionally graded materials(FGMs)with flexible spatial design and high bonding strength.A steel-copper FGM with high interfacial strength was developed using laser powder bed fusion(LPBF).The effect of laser process parameters on interfacial defects was evaluated by X-ray tomography,which indicates a low porosity level of 0.042%therein.Gradient/fine dendritic grains in the interface are incited by high cooling rates,which facilitates interface strengthening.Multiple mechanical tests evaluate the bonding reliability of interface;and the fatigue tests further substantiate the ultrahigh bonding strength in FGMs,which is superior to traditional manufacturing methods.Mechanisms of the high interfacial bond strength were also discussed. | Chaolin Tan Youxiang Chew Guijun Bi Di Wang Wenyou Ma Yongqiang Yang Kesong Zhou | 2021 | Journal of Materials Science & Technology2021，，13： | 7 |
| 5 | Models for estimating the leaf NDVI of japonica rice on a canopy scale by combining canopy NDVI and multisource environmental data in Northeast China显示文摘Remote sensing of rice traits has advanced significantly with regard to the capacity to retrieve useful plant biochemical,physiological and structural quantities across spatial scales.The rice leaf NDVI(normalized difference vegetation index)has been developed and applied in monitoring rice growth,yield prediction and disease status to guide agricultural management practices.This study combined rice canopy NDVI and environmental data to estimate rice leaf NDVI.The test site was a japonica rice experiment located in the eastern city of Shenyang,Liaoning Province,China.This paper describes(1)the use of multiple linear regression to establish four periods of rice leaf NDVI models with good accuracy(R2=0.782–0.903),and(2)how the key point of the rice growth period based on these models was determined.The techniques for modeling leaf NDVI at the point of remote canopy sensing were also presented.The results indicate that the rice leaf NDVI has a high correlation with the canopy NDVI and multisource environmental data.This research can provide an efficient method to detect rice leaf growth at the canopy scale in the future. | Yu Fenghua Xu Tongyu Cao Yingli Yang Guijun Du Wen Wang Shu | 2016 | International Journal of Agricultural and Biological Engineering2016，9，5： | 6 |
| 6 | Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image显示文摘Lodging is one of the main factors affecting the quality and yield of crops.Timely and accurate determination of crop lodging grade is of great significance for the quantitative and objective evaluation of yield losses.The purpose of this study was to analyze the monitoring ability of a multispectral image obtained by an unmanned aerial vehicle(UAV)for determination of the maize lodging grade.A multispectral Parrot Sequoia camera is specially designed for agricultural applications and provides new information that is useful in agricultural decision-making.Indeed,a near-infrared image which cannot be seen with the naked eye can be used to make a highly precise diagnosis of the vegetation condition.The images obtained constitute a highly effective tool for analyzing plant health.Maize samples with different lodging grades were obtained by visual interpretation,and the spectral reflectance,texture feature parameters,and vegetation indices of the training samples were extracted.Different feature transformations were performed,texture features and vegetation indices were combined,and various feature images were classified by maximum likelihood classification(MLC)to extract four lodging grades.Classification accuracy was evaluated using a confusion matrix based on the verification samples,and the features suitable for monitoring the maize lodging grade were screened.The results showed that compared with a multispectral image,the principal components,texture features,and combination of texture features and vegetation indices were improved by varying degrees.The overall accuracy of the combination of texture features and vegetation indices is 86.61%,and the Kappa coefficient is 0.8327,which is higher than that of other features.Therefore,the classification result based on the feature combinations of the UAV multispectral image is useful for monitoring of maize lodging grades. | Qian Sun Lin Sun Meiyan Shu Xiaohe Gu Guijun Yang Longfei Zhou | 2019 | Plant Phenomics2019，1，1： | 5 |
| 7 | Pravastatin alleviates lipopolysaccharide-induced placental TLR4 over-activation and promotes uterine arteriole remodeling without impairing rat fetal development显示文摘Preeclampsia is associated with over-activation of the innate immune system in the placenta,in which toll-like receptor 4(TLR4) plays an essential part.With their potent anti-inflammatory effects,statins have been suggested as potential prevention or treatment of preeclampsia,although evidence remains inadequate.Herewith,we investigated whether pravastatin could ameliorate preeclampsia-like phenotypes in a previously established lipopolysaccharide(LPS)-induced rat preeclampsia model,through targeting the TLR4/NF-κB pathway.The results showed that pravastatin reduced the blood pressure [maximum decline on gestational day(GD) 12,(101.33±2.49) mmHg vs.(118.3±1.37) mmHg,P<0.05] and urine protein level [maximum decline on GD9,(3,726.23± 1,572.86) μg vs.(1,991.03 ±609.37)μg,P< 0.05],which were elevated following LPS administration.Pravastatin also significantly reduced the rate of fetal growth restriction in LPS-treated rats(34.10% vs.8.99%,P<0.05).Further pathological analyses suggested a restoration of normal spiral artery remodeling in preeclampsia rats by pravastatin treatment.These effects of pravastatin were associated with decreased TLR4/NF-κB protein levels in the placenta and IL-6/MCP-1 levels in serum.Additionally,no obvious abnormalities in fetal liver,brain,and kidney were found after administration of pravastatin.These results provide supportive evidence for use of pravastatin in preventing preeclampsia. | Muyi Yang Zhenyu Diao Zhiyin Wang Guijun Yan Guangfeng Zhao Mingming Zheng Anyi Dai Yimin Dai Yali Hu | 2018 | The Journal of Biomedical Research2018，32，4： | 5 |
| 8 | Loss of gonadal soma derived factor damaging the pituitary-gonadal axis in medaka显示文摘Medaka sex is determined by dmy/dmrt1b Y,the doublesex and mab-3 domain gene on the Y chromosome[1,2].Most recent studies have revealed a germ cell-intrinsic cue for the sperm-egg fate decision present in medaka,leading to spermatogenesis occurrence in a female gonadal environment without the presence of dmy[3].Targeted disruption of dmy,or sex related genes,such | Kaiqing Sun Lidong Fan Chuanyun Wang Xiaoyu Yang Shuangguang Zhu Xi Zhang Xiaowu Chen Yunhan Hong Guijun Guan | 2017 | Science Bulletin2017，62，3： | 4 |
| 9 | Evaluation and Exploitation of Retrieval Algorithms for Estimating Biophysical Crop Variables Using Sentinel-2,Venus,and PRISMA Satellite Data显示文摘This paper is devoted to the development and testing of the optimal procedures for retrieving biophysical crop variables by exploiting the spectral information of current multispectral optical satellite Sentinel-2 and Venus and in view of the advent of the new Sino-EU hyperspectral satellite(e.g.,PRISMA,EnMAP,and GF-5).Two different methodologies devoted to the estimation of biophysical crop variables Leaf area index(LAI)and Leaf chlorophyll content(Cab)were evaluated:non-kernel-based and kernel-based Machine Learning Regression Algorithms(MLRA);Sentinel-2 and Venus data comparison for the analysis of the durum wheat-growing season.Results show that for Sentinel-2 data,Gaussian Process Regression(GPR)was the best performing algorithm for both LAI(R 2=0.89 and RMSE=0.59)and Cab(R 2=0.70 and RMSE=8.31).Whereas,for PRISMA simulated data the Kernel Ridge Regression(KRR)was the best performing algorithm among all the other MLRA(R 2=0.91 and RMSE=0.51)for LAI and(R 2=0.83 and RMSE=6.09)for Cab,respectively.Results of Sentinel-2 and Venus data for durum wheat-growing season were consistent with ground truth data and confirm also that SWIR bands,which are used as tie-points in the PROSAIL inversion,are extremely useful for an accurate retrieving of crop biophysical parameters. | Raffaele CASA Deepak UPRETI Angelo PALOMBO Simone PASCUCCI Hao YANG Guijun YANG Wenjiang HUANG Stefano PIGNATTI | 2020 | Journal of Geodesy and Geoinformation Science2020，3，4： | 2 |
| 10 | Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?显示文摘Most existing agronomic trait models of winter wheat vary across growing seasons, and it is an open question whether a unified statistical model can be developed to predict agronomic traits using a vegetation index(VI) across multiple growing seasons. In this study, we constructed a hierarchical linear model(HLM) to automatically adapt the relationship between VIs and agronomic traits across growing seasons and tested the model’s performance by sensitivity analysis. Results demonstrated that(1) optical VIs give poor performance in predicting AGB and PNC across all growth stages, whereas VIs perform well for LAI, LGB, LNC, and SPAD.(2) The sensitivity indices of the phenological information in the AGB and PNC prediction models were 0.81–0.86 and 0.66–0.73, whereas LAI, LGB, LNC, and SPAD prediction models produced sensitivity indexes of 0.01–0.02, 0.01–0.02, 0.01–0.02, and 0.02–0.08, respectively.(3) The AGB and PNC prediction models considering ZS were more accurate than the prediction models based on VI. Whether or not phenological information is used, there was no difference in model accuracy for LGB,LNC, SPAD, and LAI. This study may provide a guideline for deciding whether phenological correction is required for estimation of agronomic traits across multiple growing seasons. | Yu Zhao Yang Meng Shaoyu Han Haikuan Feng Guijun Yang Zhenhai Li | 2022 | The Crop Journal2022，10，5： | 2 |
| 11 | Contrasting zooplankton communities of two bays of the large, shallow, eutrophic Lake Taihu, China:their relationship to environmental factors 显示文摘 | YANG Guijun QIN Boqiang TANG Xiangming | 2012 | Journal of Great Lakes Research2012，38，： | 1 |
| 12 | The neonatal ketone body is important for primordial follicle pool formation and regulates ovarian ageing in mice显示文摘Adverse nutritional conditions during the perinatal stage are related to early menopause in adulthood;however,the underlying mechanism is still unclear.Herein,we revealed that colostrum-activated ketone body elevation during the postnatal stage regulated primordial follicle reservoir size and then affected ovarian ageing.We found that the expression of the ketogenesis rate-limiting enzyme 3-hydroxy-3-methylglutaryl-CoA synthase 2(Hmgcs2)was largely enhanced during primordial follicle pool formation after birth and might be activated in the ovaries by colostrum.Reactive oxygen species(ROS)elevation in the ovaries leads to follicle apoptosis to deplete damaged follicles,while Hmgcs2 deficiency enhances follicle apoptosis and thus decreases the size of the primordial follicle pool and leads to premature ovarian ageing(POA),which might be related to the activation of cellular endogenous antioxidant system.All these defects could be rescued by ketone body administration,which suppressed ROS-activated follicle apoptosis.Our results suggest that the internal metabolic homeostasis of newborn mice is critical for the primordial reservoir and that any intrauterine and perinatal undernutrition could result in POA. | Xin-Ying Wang Xin-Ge Zhang Yong-Juan Sang Dan-Yang Chong Xiao-Qiang Sheng Hai-Quan Wang Chao-Fan Yang GuiJun Yan Hai-Xiang Sun Chao-Jun Li | 2022 | Life Metabolism2022，1，2： | 1 |
| 13 | Extension of the Hapke bidirectional reflectance model to re- trieve soil water content 显示文摘 | YANG GUIJUN ZHAO CHUNJIANG HUANG WEN- JIANG | 2011 | Hydrology and Earth System Sciences2011，15，： | 1 |
| 14 | Estima- tion of soil moisture from mu|ti - polarized synthetic aperture radar data - a ease examination on radarsat - 2 product over wheat growing areas 显示文摘 | YANG GUIJUN SHI YUECHAN XU QINGYUN | 2013 | Sensor Letters2013，11，： | 1 |
| 15 | Fusion of VNIR and Thermal Infrared Remote Sensing Data Based on GA-SOFM Neural Network显示文摘多来源数据熔化方法很少目前涉及 VNIR 和热红外线的遥感。因此,二种数据的潜在的优点足够地还没被拍了,它导致与陆地表面温度联系的参数的低计算精确。在的地方,一个新熔化方法被提出 VNIR 的高空间的分辨率的特征(可见、近红外线) 数据和热红外线的数据的高时间的分辨率充分在这篇论文被探索。非线性的熔化被实现在在借助于 GA-SOFM (基因算法与自我组织的特征地图) 从 VNIR 数据和热红外线的数据估计的陆地表面参数之间的高空间的分辨率和高时间的分辨率获得陆地表面温度 -ANN (人工的神经网络) 。最后,方法被翠菊卫星数据验证。结果证明方法简单、方便并且能很快与高精确捕获更高的分辨率的陆地表面温度分发。 | WANG Chongchang YANG Guijun MA Zhen li XING Zhurong | 2009 | Geo-Spatial Information Science2009，12，4： | 1 |
| 16 | Estimation of subpixel land surface temperature using an endmember index based technique: A case examination on ASTER and MODIS temperature products over a heterogeneous area显示文摘 | Guijun Yang Ruiliang Pu Chunjiang Zhao Wenjiang Huang Jihua Wang | 2011 | Remote Sensing of Environment2011，，5： | 1 |
| 17 | Thermal aging of an anhydride-cured epoxy resin显示文摘 | Yongming Yang Guijun Xian Hui Li | 2015 | Polymer Degradation and Stability2015，118，： | 1 |
| 18 | Unbiased Quasi-regression显示文摘伪回归,由在计算机实验产生的问题激发了,主要加快评估的焦点。然而,它的理论性质是未经勘探的全身的联盟者。这篇论文证明伪回归是不偏的,为参数评价而是它的强壮的会聚的 andasymptotic 正常为试穿被偏导弯。而且,调用不偏的伪回归的一个新方法被建议。除了保留参数评价的 aboveasymptotic 行为,不偏的伪回归为曲线的试穿是不偏的。 | Guijun YANG Lu LIN Runchu ZHANG | 2007 | Chinese Annals of Mathematics,Series B2007，28，2： | 1 |
| 19 | Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements显示文摘 | Yuanyuan Fu Guijun Yang Jihua Wang Xiaoyu Song Haikuan Feng | 2014 | Computers and Electronics in Agriculture2014，，： | 1 |
| 20 | SJES14110700175297显示文摘 | Jingcheng Zhang Lin yuan Ruiliang Pu Rebecca W. Loraamm Guijun Yang Jihua Wang | 2014 | Computers and Electronics in Agriculture2014，，： | 1 |
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