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| 1 | Drought Change Trend Using MODIS TVDI and Its Relationship with Climate Factors in China from 2001 to 2010显示文摘Changes in drought trends and its relationship with climate change in China were examined in this study.The temperature vegetation drought index(TVDI)datasets recorded during 2001 to 2010 in China were constructed by using the moderateresolution imaging spectroradiometer(MODIS)data,and the temporal and spatial variations in drought were analyzed.In addition,the mean temperature,mean precipitation,mean relative humidity,and mean sunshine duration data collected from 557local weather stations in China were analyzed.The relationships between drought and these climate factors were also analyzed by using correlation analysis and partial correlation analysis.Changes in drought tendency were shown to differ among four regions throughout the country.The fluctuations in climate in the regions of northeastern China,Qinling-Huaihe,and central Qinghai were caused by the increase in soil moisture,and that in southern Tibet was caused by the intensification of drought.Meteorological factors exhibited varied effects on drought among the regions.In southern China,the main influential factor was temperature;other factors only showed minimal effects.That in the northern and northwestern regions was sunshine duration,and those in the Qinghai-Tibet Plateau were relative humidity and temperature. | LIANG Liang ZHAO Shu-he QIN Zhi-hao HE Ke-xun CHEN Chong LUO Yun-xiao ZHOU Xing-dong | 2014 | Journal of Integrative Agriculture2014，13，7： | 29 |
| 2 | An environmental flow assessment method based on the relationships between flow and ecological response: A case study of the Three Gorges Reservoir and its downstream reach显示文摘The current environmental flow assessment of Chinese rivers is thought to have three shortcomings: The first is that environmental flow requirements of reservoirs in dammed rivers are usually not explicitly considered; the second is that enough attentions have not been paid to the inherent links between flow regime and ecological processes; the third is that most studies focus on the variable range of merely one hydrological element such as discharge needed by riverine ecosystems. Here, first proposed is a holistic method for environmental flow assessment, the flow-ecological response relationship method that is suitable for large rivers with relatively abundant ecological data. Based on the conceptual models and quantitative relationships between flow and ecological response, this method comprehensively considers the ecological conservation requirements of both reservoir and its downstream reach. Then, it is applied to assessing the environmental flows of the Three Gorges Reservoir and its downstream reach by the following steps: 1) Construction of conceptual models of flow-ecological response; 2) identification of ecological targets of environmental flows and their key periods; 3) development of the quantitative relationships between hydrological indicators and ecological indictors; 4) preliminary assessment of environmental flow according to the tradeoff between ecological targets and water demands of human. The environmental flow hydrographs obtained have explicit ecological conservation targets, time schedule of achieving each target, and characteristics of multiple hydrological elements such as flow, water level, frequency, timing, duration and rate of change. The case study has tested the reasonability and feasibility of this method, and the results of this study are expected to provide technical support and decision reference for improving the operation of the Three Gorges-Gezhouba cascade reservoirs. | WANG JunNa DONG ZheRen LIAO WenGen LI Chong FENG ShunXin LUO HuiHuang PENG QiDong | 2013 | Science China(Technological Sciences)2013，56，6： | 16 |
| 3 | Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignancies显示文摘Background:Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperpla-sia,the positive rate for malignancy identification during biopsy is low,thus leading to delayed or missed diagnosis for nasopharyngeal malignancies upon initial attempt.Here,we aimed to develop an artificial intelligence tool to detect nasopharyngeal malignancies under endoscopic examination based on deep learning.Methods:An endoscopic images-based nasopharyngeal malignancy detection model(eNPM-DM)consisting of a fully convolutional network based on the inception architecture was developed and fine-tuned using separate training and validation sets for both classification and segmentation.Briefly,a total of 28,966 qualified images were collected.Among these images,27,536 biopsy-proven images from 7951 individuals obtained from January 1st,2008,to December 31st,2016,were split into the training,validation and test sets at a ratio of 7:1:2 using simple randomiza-tion.Additionally,1430 images obtained from January 1st,2017,to March 31st,2017,were used as a prospective test set to compare the performance of the established model against oncologist evaluation.The dice similarity coef-ficient(DSC)was used to evaluate the efficiency of eNPM-DM in automatic segmentation of malignant area from the background of nasopharyngeal endoscopic images,by comparing automatic segmentation with manual segmenta-tion performed by the experts.Results:All images were histopathologically confirmed,and included 5713(19.7%)normal control,19,107(66.0%)nasopharyngeal carcinoma(NPC),335(1.2%)NPC and 3811(13.2%)benign diseases.The eNPM-DM attained an overall accuracy of 88.7%(95%confidence interval(CI)87.8%-89.5%)in detecting malignancies in the test set.In the prospective comparison phase,eNPM-DM outperformed the experts:the overall accuracy was 88.0%(95%CI 86.1%-89.6%)vs.80.5%(95%CI 77.0%-84.0%).The eNPM-DM required less time(40 s vs.110.0±5.8 min)and exhibited encouraging performance in automatic segmentation of nasopharyngeal malignant area from the background,with an average DSC of 0.78±0.24 and 0.75±0.26 in the test and prospective test sets,respectively.Conclusions:The eNPM-DM outperformed oncologist evaluation in diagnostic classification of nasopharyngeal mass into benign versus malignant,and realized automatic segmentation of malignant area from the background of nasopharyngeal endoscopic images. | Chaofeng Li Bingzhong Jing Liangru Ke Bin Li Weixiong Xia Caisheng He Chaonan Qian Chong Zhao Haiqiang Mai Mingyuan Chen Kajia Cao Haoyuan Mo Ling Guo Qiuyan Chen Linquan Tang Wenze Qiu Yahui Yu Hu Liang Xinjun Huang Guoying Liu Wangzhong Li Lin Wang Rui Sun Xiong Zou Shanshan Guo Peiyu Huang Donghua Luo Fang Qiu Yishan Wu Yijun Hua Kuiyuan Liu Shuhui Lv Jingjing Miao Yanqun Xiang Ying Sun Xiang Guo Xing Lv | 2018 | Cancer Communications2018，38，1： | 9 |
| 4 | Monthly composites from Sentinel-1 and Sentinel-2 images for regional major crop mapping with Google Earth Engine显示文摘Rapid and accurate access to large-scale,high-resolution crop-type distribution maps is important for agricultural management and sustainable agricultural development.Due to the limitations of remote sensing image quality and data processing capabilities,large-scale crop classification is still challenging.This study aimed to map the distribution of crops in Heilongjiang Province using Google Earth Engine(GEE)and Sentinel-1 and Sentinel-2 images.We obtained Sentinel-1 and Sentinel-2 images from all the covered study areas in the critical period for crop growth in 2018(May to September),combined monthly composite images of reflectance bands,vegetation indices and polarization bands as input features,and then performed crop classification using a Random Forest(RF)classifier.The results show that the Sentinel-1 and Sentinel-2 monthly composite images combined with the RF classifier can accurately generate the crop distribution map of the study area,and the overall accuracy(OA)reached 89.75%.Through experiments,we also found that the classification performance using time-series images is significantly better than that using single-period images.Compared with the use of traditional bands only(i.e.,the visible and near-infrared bands),the addition of shortwave infrared bands can improve the accuracy of crop classification most significantly,followed by the addition of red-edge bands.Adding common vegetation indices and Sentinel-1 data to the crop classification improved the overall classification accuracy and the OA by 0.2 and 0.6%,respectively,compared to using only the Sentinel-2 reflectance bands.The analysis of timeliness revealed that when the July image is available,the increase in the accuracy of crop classification is the highest.When the Sentinel-1 and Sentinel-2 images for May,June,and July are available,an OA greater than 80%can be achieved.The results of this study are applicable to large-scale,high-resolution crop classification and provide key technologies for remote sensing-based crop classification in small-scale agricultural areas. | LUO Chong LIU Huan-jun LU Lii-ping LIU Zheng-rong KONG Fan-chang ZHANG Xin-le | 2021 | Journal of Integrative Agriculture2021，20，7： | 8 |
| 5 | TGIF2 promotes the progression of lung adenocarcinoma by bridging EGFR/RAS/ERK signaling to cancer cell stemness显示文摘TGF-β-induced factor homeobox 2(TGIF2)is a transcription regulator that plays essential roles in the regulation of development and cell fate decisions.Aberrant expression of TGIF family proteins has been observed in several cancers,including ovarian,esophageal,and colorectal cancers.Here,we report that TGIF2 mediates the EGFR–RAS–ERK signaling pathway to enhance the stemness of lung adenocarcinoma(LUAD)cells and,therefore,promote the progression and metastasis of LUAD.We found that high TGIF2 expression was closely correlated with tumor growth,lymph node metastasis,and survival of patients with LUAD.Mice bearing TGIF2-silenced H1299 xenografts developed smaller tumors and fewer lung metastases.Importantly,silencing TGIF2 decreased the cancer stem cell(CSC)-like properties in A549 and H1299 cells.Furthermore,we identified that TGIF2 binding to the OCT4 promoter promotes its expression.In both LUAD cells and in vivo LUAD mouse models,we revealed that EGFR–RAS–ERK signaling phosphorylated TGIF2 and increased its stability,which was important for TGIF2-promoted LUAD stemness since phosphorylation-deficient TGIF2 mutants lost these functions.Thus,our study revealed that an important factor,TGIF2,bridges EGFR signaling to the CSC characteristics of LUAD cells,which can be utilized as an effective target for LUAD therapy. | Renle Du Wenzhi Shen Yi Liu Wenjuan Gao Wei Zhou Jun Li Shuangtao Zhao Chong Chen Yanan Chen Yanhua Liu Peiqing Sun Rong Xiang Yi Shi Yunping Luo | 2019 | Signal Transduction and Targeted Therapy2019，4，1： | 7 |
| 6 | 雷帕霉素对小鼠百草枯中毒导致肺纤维化的治疗作用(英文)显示文摘目的:评估雷帕霉素(RAPA)对小鼠百草枯(PQ)中毒导致肺纤维化的治疗作用,并初步探讨其作用机制。创新点:首次在小鼠PQ中毒的模型中证明RAPA可明显抑制肺纤维化,且此作用与转化生长因子-β1(TGF-β1)的抑制相关。方法:将C57BL/6J雄鼠分为对照组(腹腔注射生理盐水)和实验组(腹腔注射10 mg/kg PQ)。实验组根据采用的治疗不同,可分为以下四组:PQ组、PQ+RAPA组、PQ+MP(甲强龙)组和PQ+MP+RAPA组。用苏木精-伊红染色法(H&E)和马松(Masson)三色染色法观察肺组织病理结构变化,用酶联免疫吸附测定(ELISA)试剂盒检测肺组织中的羟脯氨酸(HYP)含量,用免疫组化和免疫印迹的方法检测TGF-β1和α-平滑肌肌动蛋白(α-SMA)的表达水平。结论:本实验中小鼠的肺组织病理染色结果显示,RAPA治疗能缓解肺纤维化导致的病理改变(图3)。ELISA实验结果显示,RAPA治疗28天后可显著降低肺组织中HYP的含量(图4)。免疫组化和免疫印迹实验结果显示,RAPA治疗能明显下调肺组织中TGF-β1和α-SMA的高表达(图5和6)。综上所述,RAPA在治疗PQ中毒导致的肺纤维化中有重要价值。 | Xue SHAO Meng LI Chong LUO Ying-ying WANG Ying-ying LU Shi FENG Heng LI Xia-bing LANG Yu-cheng WANG Chuan LIN Xiu-jin SHEN Qin ZHOU Hong JIANG Jiang-hua CHEN | 2015 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2015，16，1： | 7 |
| 7 | Efficient generation of homozygous substitutions in rice in one generation utilizing an rABE8e base editor显示文摘A new deaminase,TadA8e,was recently evolved in the laboratory.TadA8e catalyzes DNA deamination over 1,000 times faster than ABE7.10.We developed a high-efficiency adenine base editor,rABE8e(rice ABE8e),combining monomeric TadA8e,bis-bpNLS and codon optimization.rABE8e had substantially increased editing efficiencies at NG-protospacer adjacent motif(PAM)and NGG-PAM target sequences compared with ABEmax.For most targets,rABE8e exhibited nearly 100%editing efficiency and high homozygous substitution rates in the specific editing window,especially at Positions A5 and A6.The ability to rapidly generate plant materials with homozygous base substitutions will benefit gene function research and precision molecular breeding. | Chuang Wei Chong Wang Meng Jia Hong-Xuan Guo Peng-Yu Luo Mu-Gui Wang Jian-Kang Zhu Hui Zhang | 2021 | Journal of Integrative Plant Biology2021，63，9： | 7 |
| 8 | Highly efficient generation of GGTA1 knockout pigs using a combination of TALEN m RNA and magnetic beads with somatic cell nuclear transfer显示文摘The transcription activator-like effector nuclease(TALEN) technique combined with the somatic cell nuclear transfer(SCNT) method has been successfully applied for creating genetically modified pigs. However, methods for isolating cells with biallelic indels requires further improvement because of the relatively low enrichment efficiency of mutated somatic cells. Moreover, little is known regarding the off-target effects of the TALEN system and the heredity of TALEN-modified pigs. In this study, an efficient method to increase the enrichment efficiency of TALEN-mediated biallelic knockout(KO) cells was established, and corresponding genetically modified pigs with the expected genotype were generated whose off-target effect, fertility and heredity characteristics were aslo evaluated. Two TALEN pairs were constructed to target the porcine α-1,3-galactosyltransferase(GGTA1) gene locus. TALEN m RNA was transfected into the ear fibroblasts followed by the enrichment of α-Gal null cells of minipigs using isolectin B4(IB4) lectin and m agnetic beads. A total of 115 cell c olonies were formed and validated to be GGTA1 KO cells by sequencing and 10 biallelic KO cell colonies were used as nuclear donors for SCNT. Thirty GGTA1 biallelic KO piglets were successfully delivered and grew normally. Seventeen potential off-target sites were investigated, and no off-target events were detected in the live piglets. To determine t he fertility and heredity characteristics of TALEN-modified pigs, 10 mature founders w ere mated with each other and the mutations were determined to be transmitted to the F1 piglets. We established a robust and safe technology for developing genetically modified pig lines with expected genotypes for agricultural breeding and biomedical application. | FENG Chong LI Xi-rui CUI Hui-ting LONG Chuan LIU Xia TIAN Xing-hua PAN Deng-ke LUO Yu-zhu | 2016 | Journal of Integrative Agriculture2016，15，7： | 7 |
| 9 | The RING E3 ligase CLG1 targets GS3 for degradation via the endosome pathway to determine grain size in rice显示文摘G-protein signaling and ubiquitin-dependent degradation are both involved in grain development in rice,but how these pathways are coordinated in regulating this process is unknown.Here,we show that Chang Li Geng 1(CLG1),which encodes an E3 ligase,regulates grain size by targeting the Gγprotein GS3,a negative regulator of grain length,for degradation.Overexpression of CLG1 led to increased grain length,while overexpression of mutated CLG1 with changes in three conserved amino acids decreased grain length.We found that CLG1 physically interacts with and ubiquitinats GS3which is subsequently degraded through the endosome degradation pathway,leading to increased grain size.Furthermore,we identified a critical SNP in the exon 3 of CLG1 that is significantly associated with grain size variation in a core collection of cultivated rice.This SNP results in an amino acid substitution from Arg to Ser at position 163 of CLG1 that enhances the E3 ligase activity of CLG1 and thus increases rice grain size.Both the expression level of CLG1 and the SNP CLG1163S may be useful variations for manipulating grain size in rice. | Wensi Yang Kun Wu Bo Wang Huanhuan Liu Siyi Guo Xiaoyu Guo Wei Luo Shengyuan Sun Yidan Ouyang Xiangdong Fu Kang Chong Qifa Zhang Yunyuan Xu | 2021 | Molecular Plant2021，14，10： | 6 |
| 10 | An all-round AI-Chemist with a scientific mind显示文摘The realization of automated chemical experiments by robots unveiled the prelude to an artificial intelligence(AI)laboratory.Several AI-based systems or robots with specific chemical skills have been demonstrated,but conducting all-round scientific research remains challenging.Here,we present an all-round AI-Chemist equipped with scientific data intelligence that is capable of performing basic tasks generally required in chemical research.Based on a service platform,the AI-Chemist is able to automatically read the literatures from a cloud database and propose experimental plans accordingly.It can control a mobile robot in-house or online to automatically execute the complete experimental process on 14 workstations,including synthesis,characterization and performance tests.The experimental data can be simultaneously analysed by the computational brain of the AI-Chemist through machine learning and Bayesian optimization,allowing a new hypothesis for the next iteration to be proposed.The competence of the AI-Chemist has been scrutinized by three different chemical tasks.In the future,the more advanced all-round AI-Chemists equipped with scientific data intelligence may cause changes to the landscape of the chemical laboratory. | Qing Zhu Fei Zhang Yan Huang Hengyu Xiao LuYuan Zhao XuChun Zhang Tao Song XinSheng Tang Xiang Li Guo He BaoChen Chong JunYi Zhou YiHan Zhang Baicheng Zhang JiaQi Cao Man Luo Song Wang GuiLin Ye WanJun Zhang Xin Chen Shuang Cong Donglai Zhou Huirong Li Jialei Li Gang Zou WeiWei Shang Jun Jiang Yi Luo | 2022 | National Science Review2022，9，10： | 5 |
| 11 | Fluvial facies reservoir productivity prediction method based on principal component analysis and artificial neural network显示文摘It is difficult to forecast the well productivity because of the complexity of vertical and horizontal developments in fluvial facies reservoir.This paper proposes a method based on Principal Component Analysis and Artificial Neural Network to predict well productivity of fluvial facies reservoir.The method summarizes the statistical reservoir factors and engineering factors that affect the well productivity,extracts information by applying the principal component analysis method and approximates arbitrary functions of the neural network to realize an accurate and efficient prediction on the fluvial facies reservoir well productivity.This method provides an effective way for forecasting the productivity of fluvial facies reservoir which is affected by multifactors and complex mechanism.The study result shows that this method is a practical,effective,accurate and indirect productivity forecast method and is suitable for field application. | Pengyu Gao Chong Jiang Qin Huang Hui Cai Zhifeng Luo Meijia Liu | 2016 | Petroleum2016，2，1： | 4 |
| 12 | The Monte-Carlo simulation on a scintillator neutron detector显示文摘A simulation of the properties of the shifting scintillator neutron detector using 6LiF/ZnS(Ag) scintillation screens is performed.The simulation results show that the light attenuation length of standard BC704 scintillator is about 0.65 mm.Its thermal neutron detection efficiency,gamma sensitivity and intrinsic spatial resolution can achieve around 50.0%,10 5and 0.18 mm(along X-axis) respectively.For the detector,air coupling position resolution is better than the silicone oil coupling.Some of the simulation results are compared with experimental results.They are in agreement.This work will be helpful for constructing neutron detector for high intensity powder diffractometer at Chinese spallation neutron source. | WU Chong TANG Bin SUN ZhiJia ZHANG Qiang YANG Zhen LUO Wei WANG Tuo | 2013 | Science China(Physics,Mechanics & Astronomy)2013，56，10： | 4 |
| 13 | Cancer-associated adipocyte-derived G-CSF promotes breast cancer malignancy via Stat3 signaling显示文摘Adipocyte is the most predominant cell type in the tumor microenvironment of breast cancer and plays a pivotal role in cancer progression,yet the underlying mechanisms and functional mediators remain elusive.We isolated primary preadipocytes from mammary fat pads of human breast cancer patients and generated mature adipocytes and cancer-associated adipocytes(CAAs)in vitro.The CAAs exhibited significantly different gene expression profiles as assessed by transcriptome sequencing.One of the highly expressed genes in CAAs is granulocyte colony-stimulating factor(G-CSF).Treatment with recombinant human G-CSF protein or stable expression of human G-CSF in triple-negative breast cancer(TNBC)cell lines enhanced epithelial–mesenchymal transition,migration,and invasion of cancer cells,by activating Stat3.Accordantly,targeting G-CSF/Stat3 signaling with G-CSF-neutralizing antibody,a chemical inhibitor,or siRNAs for Stat3 could all abrogate CAA-or G-CSF-induced migration and invasion of breast cancer cells.The pro-invasive genes MMP2 and MMP9 were identified as target genes of G-CSF in TNBC cells.Furthermore,in human breast cancer tissues,elevated G-CSF expression in adipocytes is well correlated with activated Stat3 signal in cancer cells.Together,our results suggest a novel strategy to intervene with invasive breast cancers by targeting CAA-derived G-CSF. | Li Liu Yudong Wu Cheng Zhang Chong Zhou Yining Li Yi Zeng Chunbo Zhang Rong Li Daya Luo Lieliang Wang Long Zhang Shuo Tu Huan Deng Shiwen Luo Ye-Guang Chen Xiangyang Xiong Xiaohua Yan | 2020 | Journal of Molecular Cell Biology2020，12，9： | 4 |
| 14 | Recent progress in synthesis of composite powders and their applications in low-carbon refractories显示文摘The development of low-carbon refractories is of great significance,but it is limited by the deteriorated properties that resulted from the decreased graphite content.Incorporating composite powders has proved to be effective in improving the properties of low-carbon refractories.The recent progress in the synthesis of composite powders including modified graphite,nanocarbon-containing composite powders,oxide/non-oxide and non-oxide composite powders and their applications in low-carbon refractories were reviewed,and the future development of composite powder technology was prospected. | Ji-yuan Luo Xin-ming Ren Xiao-chuan Chong Dong-hai Ding Bei-yue Ma Guo-qing Xiao Jing-kun Yu | 2022 | Journal of Iron and Steel Research(International)2022，29，7： | 3 |
| 15 | MicroRNA在肿瘤免疫中的作用:对肿瘤相关巨噬细胞的功能调控(英文)显示文摘肿瘤相关巨噬细胞(TAM)是肿瘤微环境中比例最高的免疫细胞,对肿瘤的发生和发展起着重要的作用。在肿瘤的进展过程中,microRNA可以通过转录后调控的方式作用于多种靶点与信号通路来影响TAM的表型。本文主要讨论了microRNA对巨噬细胞分化、功能性极化和细胞间信息交流的调控作用。首先,microRNA参与了从髓样细胞向成熟巨噬细胞的分化过程,这一过程直接影响了肿瘤微环境中肿瘤细胞对巨噬细胞的招募。其次,microRNA参与了TAM的功能极化,使之表现为促癌或抑癌表型,影响了肿瘤的生长和转移。第三,肿瘤细胞与巨噬细胞间的相互作用对肿瘤微环境的形成和肿瘤的进展而言是必要的,microRNA可以通过胞外颗粒的形式作为交流的媒介。此外,本文还讨论了巨噬细胞相关microRNA作为肿瘤诊断和预后标志物的潜在价值,以及基于巨噬细胞相关microRNA的肿瘤治疗新策略的应用前景。 | Chong CHEN Jia-ming LIU Yun-ping LUO | 2020 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2020，21，1： | 3 |
| 16 | 雷公藤红素通过靶向核受体Nur77促进损伤线粒体自噬而抑制炎症反应显示文摘文章简介线粒体在细胞死亡、自噬、免疫和炎症中起着不可或缺的作用。前期研究发现,孤儿核受体Nur77通过靶向线粒体诱导细胞凋亡。本文报道了Nur77作为具有抗炎作用的雷公藤红素的直接靶点,介导雷公藤红素通过自噬清除损伤线粒体,抑制炎症反应而达到治疗炎症疾病包括肥胖症的功能。 | Mengjie Hu Qiang Luo Gulimiran Alitongbieke Shuyi Chong Chenting Xu Lei Xie Xiaohui Chen Duo Zhang Yuqi Zhou Zhaokai Wang Xiaohong Ye Lijun Cai Fang Zhang Huibin Chen Fuquan Jiang Hui Fang Shanjun Yang Jie Liu Maria T.Diaz-Meco Ying Su Hu Zhou Jorge Moscat Xiangzhi Lin 张晓坤 | 2018 | 科学新闻2018，0，4： | 3 |
| 17 | Ultrasound-guided fine needle aspiration of retropharyngeal lymph nodes after radiotherapy for nasopharyngeal carcinoma: a novel technique for accurate diagnosis显示文摘Background:Enlarged retropharyngeal lymph nodes(RLNs)are very common in patients with nasopharyngeal carcinoma(NPC)undergoing radiotherapy.The most suitable treatment option for enlarged RLNs depends on the pathological results.However,RLN sampling is difficult and imminent in the clinic setting.We recently developed a novel minimally invasive technique termed endoscopic ultrasound-guided fine needle aspiration(EUS-FNA)for sam-pling RLN tissues sufficient for pathological or cytological diagnosis.Methods:We enrolled 30 post-radiotherapy patients with NPC with suspected RLN metastasis detected via mag-netic resonance imaging(MRI).The EUS probe was introduced into the nasopharynx via the nostrils,and EUS was then used to scan the retropharyngeal space and locate the RLN in the anterior carotid sheath.EUS-FNA was subsequently performed.The safety and efficacy of using EUS-FNA to sample the RLN tissues were assessed.Results:Strips of tissue were successfully sampled from all patients using EUS-FNA.Of the 30 patients,23 were confirmed to have cancer cells in the biopsied tissues via pathology or cytology examinations with 1 EUS-FNA biopsy session.The seven cases without confirmed cancer cells were subsequently reanalyzed by using another EUS-FNA biopsy session,and two more cases were confirmed possessing cancer cells.The other five patients without con-firmed cancer cells were closely followed with MRI every month for 3 months.After follow-up for 3 months,three patients were still considered cancer-free due to the presence of RLNs with stable or shrinking diameters.The rest two patients who showed progressive disease underwent a third EUS-FNA biopsy procedure and were further confirmed to be cancer cell-positive.In the whole cohort reported here,the EUS-FNA procedure was not associated with any severe complications.Conclusion:EUS-FNA is a safe and effective diagnostic approach for sampling tissues from the RLNs in patients with suspected recurrent NPC. | Long-Jun He Chuanbo Xie Yin Li Lin-Na Luo Ke Pan Xiao-Yan Gao Li-Zhi Liu Jian-Ming Gao Guang-Yu Luo Hong-Bo Shan Ming-Yuan Chen Chong Zhao Wei-Jun Fan Ping Yang Guo-Liang Xu Jian-Jun Li | 2018 | Cancer Communications2018，38，1： | 3 |
| 18 | Photoelectrochemical performance of a sub-micron structured film with poly(3-methylthiophene) (P3MT)-modified CdTe/ZnO shell-core sub-micron tube arrays显示文摘A sub-micron structured film with a poly(3-methylthiophene) (P3MT)-modified CdTe/ZnO shell-core sub-micron tube array has been prepared by a series of electrodeposition processes, and a semiconductor-sensitized solar cell based on this structure was also fabricated. Vertically oriented ZnO sub-micron tubes were obtained on an indium tin oxide (ITO) substrate, and then CdTe nanocrystals and a thin P3MT layer were electrodeposited sequentially onto the walls of the ZnO sub-micron tubes. A suitable thickness of CdTe and P3MT could improve the photovoltaic properties of the solar cell, which was attributed to the enhancement in the light absorption and the decrease in the recombination of photogenerated carriers. In addition, a p–n heterojunction formed between the interface of CdTe and P3MT played an important part in the efficient separation and fast transport of photogenerated carriers in the sub-micron structure. A power conversion efficiency of 1.20% was obtained with this type of solar cell. | HAO YanZhong LUO Chong SUN Bao SUN Shuo LI YingPin SHEN ShiGang XU DongSheng | 2013 | Science China Chemistry2013，56，6： | 3 |
| 19 | Large-Scale Test Model of the Progressive Deformation and Failure of Cracked Soil Slopes显示文摘A large-scale test bed(LWH=6 m×3 m×2.8 m)instrumented with various sensors is used to examine the effects of rainfall infiltration and evaporation on the deformation and failure of cracked soil slopes,taking the Anhui area along the Yangtze River as a field example.The results indicate that(1)during rainfall,the soil around the shallow shrinkage fissures attains transient saturation,and the attendant decrease of matric suction is the primary cause of the shallow slope failure;(2)slope deformation continues during post-rainfall evaporation;(3)if a period of evaporation is followed by heavy rainfall,soil creep is concentrated near the deepest cracks,and two zones of steep gradients in pore pressure form at the crest and toe of the slope.Finally,a saturated zone forms near each crack base and gradually enlarges,eventually forming a continuous saturated layer that induces the slope instability or failure. | Zhi Zhou Jiaming Zhang Fulong Ning Yi Luo Lily Chong Kuangbiao Sun | 2020 | Journal of Earth Science2020，31，6： | 3 |
| 20 | Mapping the fallowed area of paddy fields on Sanjiang Plain of Northeast China to assist water security assessments显示文摘Rice growth requires a large amount of water,and planting rice will increase the contradiction between supply and demand of water resources.Paddy field fllowing is important for the sustainable development of an agricultural region,but it remains a great challenge to accurately and quickly monitor the extent and area of fallowed paddy fields.Paddy fields have unique physical features associated with paddy rice during the flooding and transplanting phases.By comparing the differences in phenology before and after paddy field fllowing,we proposed a phenology-based fallowed paddy field mapping algorithm.We used the Google Earth Engine(GEE)cloud computing platform and Landsat 8 images to extract the fllowed paddy field area on Sanjiang Plain of China in 2018.The results indicated that the Landsat8,GEE,and phenology-based fllowed paddy field mapping algorithm can effectively support the mapping of fallowed paddy fields on Sanjiang Plain of China.Based on remote sensing monitoring,the total fallowed paddy field area of Sanjiang Plain is 91543 ha.The resultant fallowed paddy field map is of high accuracy,with a producer(user)accuracy of 83%(81%),based on validation using ground-truth samples.The Landsat-based map also exhibits high consistency with the agricultural statistical data.We estimated that paddy field fallowing reduced irigation water by 384-521 million cubic meters on Sanjiang Plain in 2018.The research results can support subsidization grants for fallowed paddy fields,the evaluation of fallowed paddy field effects and improvement in subsequent fallowed paddy field policy in the future. | LUO Chong LIU Huan-jun FU Qiang GUAN Hai-xiang YE Qiang ZHANG Xin-le KONG Fan-chang | 2020 | Journal of Integrative Agriculture2020，19，7： | 3 |
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