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| 1 | Interlayer interactions in anisotropic atomically thin rhenium diselenide显示文摘在这个工作,我们学习夹层声子颤动模式, layer-numberdependent 原子地薄的金来 diselenide 的光 bandgap,和各向异性的光致发光(PL ) 系列(ReSe 2) 第一次。在 ReSe 2 的 ultralow 频率夹层拉曼系列和解决极化的高频率拉曼系列允许它的层数字和水晶取向的鉴定。而且, PL 大小显示出材料的各向异性的光排放紧张,它的 bandgap 在单层在体积从 1.26 eV 增加到 1.32 eV。拉曼模式和 PL 系列的层数字依赖的学习揭示相对弱的货车 der Waals 相互作用并且二维(2D ) 在原子地薄的 ReSe 2 的量监禁。在单层和多层的 ReSe 2 的吸引人的各向异性的夹层相互作用和悦耳的光转变的试验性的观察在在在红外线附近的光谱工作的各向异性的 optoelectronic 设备的发展为这材料的进一步的探索建立基础,它为在光通讯并且红外线的察觉到的许多应用是重要的。 | Huan Zhao Jiangbin Wu Hongxia Zhong Qiushi Guo Xiaomu Wang Fengnian Xia Li Yang Pingheng Tan Han Wang | 2015 | Nano Research2015，8，11： | 14 |
| 2 | Wind power prediction based on variational mode decomposition multi-frequency combinations显示文摘Because of the uncertainty and randomness of wind speed, wind power has characteristics such as nonlinearity and multiple frequencies. Accurate prediction of wind power is one effective means of improving wind power integration. Because the traditional single model cannot fully characterize the fluctuating characteristics of wind power, scholars have attempted to build other prediction models based on empirical mode decomposition(EMD) or ensemble empirical mode decomposition(EEMD) to tackle this problem. However, the prediction accuracy of these models is affected by modal aliasing and illusive components. Aimed at these defects, this paper proposes a multi-frequency combination prediction model based on variational mode decomposition(VMD). We use a back propagation neural network(BPNN),autoregressive moving average(ARMA)model, and least square support vector machine(LS-SVM) to predict high, intermediate,and low frequency components,respectively. Based on the predicted values of each component, the BPNN is applied to combine them into a final wind power prediction value.Finally,the prediction performance of the single prediction models(ARMA,BPNN and LS-SVM)and the decomposition prediction models(EMD and EEMD) are used to compare with the proposed VMD model according to the evaluation indices such as average absolute error, mean square error,and root mean square error to validate its feasibility and accuracy. The results show that the prediction accuracy of the proposed VMD model is higher. | Gang ZHANG Hongchi LIU Jiangbin ZHANG Ye YAN Lei ZHANG Chen WU Xia HUA Yongqing WANG | 2019 | Journal of Modern Power Systems and Clean Energy2019，7，2： | 10 |
| 3 | Emerging low-dimensional materials for mid-infrared detection显示文摘Mid-infrared(IR)detectors based on the emerging low-dimensional(two-dimensional and quasi one-dimensional)materials offer unique characteristics including large bandgap tunability,optical polarization sensitivity and integrability with typical silicon process,which are not available in the mid-IR detectors based on traditional compound semiconductors.Here,we review the recent progress in study of mid-IR detectors based on the low-dimensional materials,including black phosphorus,black arsenic phosphorus,tellurene and BaTiS3,from the perspectives of crystal structure,material synthesis,optical properties,and the detector characteristics.The detector gain and detectivity are benchmarked,and the unique properties,such as the polarization sensitivity,are discussed.We also provide our perspective about key future research directions in this field. | Jiangbin Wu Nan Wang Xiaodong Yan Han Wang | 2021 | Nano Research2021，14，6： | 5 |
| 4 | A botanical medicine dragon’s blood exhibited clinical antithrombosis efficacy similar to low molecular weight heparin显示文摘Deep vein thrombosis(DVT)is a common complication following traumatic fracture with a 0.5%–1%annual incidence.Low molecular weight heparin(LMWH)is the most commonly used anticoagulation drug for DVT prevention,but treatment with LMWH is invasive.Our aim is to compare the antithrombotic effect of dragon’s blood,an oral botanical anticoagulant medicine approved by the Chinese FDA,with LMWH in patients undergoing hip fracture surgery and to explore the molecular mechanisms of anticoagulation treatment.Our study recruited patients and divided them into LMWH and dragon’s blood treatment group.Coagulation index tests,Doppler ultrasound and mRNA sequencing were performed before and after anticoagulation therapy.There was no significant difference in postoperative DVT incidence between the two groups(23.1%versus 15.4%,P=0.694).D-dimer(D-D)and fibrinogen degradation product(FDP)showed significant reductions in both groups after anticoagulation treatments.We identified SLC4A1,PROS1,PRKAR2B and seven other genes as being differentially expressed during anticoagulation therapy in both groups.Genes correlated with coagulation indexes were also identified.Dragon’s blood and LMWH showed similar effects on DVT and produced similar gene expression changes in patients undergoing hip fracture surgery,indicating that dragon’s blood is a more convenient antithrombosis medicine(oral)than LMWH(hypodermic injection). | Jiangbin Liang Song Mei Xiangyu Qiao Wei Pan Yan Zhao Shaohui Shi Yaling Zhai Haizhao Wen Guoping Wu Chengyu Jiang | 2021 | Science China(Life Sciences)2021，64，10： | 4 |
| 5 | MiR-143 enhances adipogenic differentiation of 3T3-L1 cells through targeting the coding region of mouse pleiotrophin显示文摘 | Can Yi Wei-dong Xie Fu Li Qing Lv Jie He Jiangbin Wu Dayong Gu Naihan Xu Yaou Zhang | 2011 | FEBS Letters2011，，： | 1 |
| 6 | Effects of urban community intervention on 3 - year survival and recurrence after first- ever stroke显示文摘 | JiangBin Wang Wen-zhi Wu Sheng-ping | 2004 | Stroke2004，，35： | 1 |
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