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| 1 | Electronic-property dependent interactions between tetracycline and graphene nanomaterials in aqueous solution显示文摘Understanding the interactions between graphene nanomaterials(GNMs) and antibiotics in aqueous solution is critical to both the engineering applications of GNMs and the assessment of their potential impact on the fate and transport of antibiotics in the aquatic environment. In this study, adsorption of one common antibiotic, tetracycline, by graphene oxide(GO) and reduced graphene oxide(RGO) was examined with multi-walled carbon nanotubes(MWCNTs) and graphite as comparison. The results showed that the tetracycline adsorption capacity by the four selected carbonaceous materials on the unit mass basis followed an order of GO > RGO > MWCNTs > graphite. Upon normalization by surface area,graphite, RGO and MWCNTs had almost the same high tetracycline adsorption affinity while GO exhibited the lowest. We proposed π-electron-property dependent interaction mechanisms to explain the observed different adsorption behaviors. Density functional theory(DFT) calculations suggested that the oxygen-containing functional groups on GO surface reduced its π-electron-donating ability, and thus decreased the π-based interactions between tetracycline and GO surface. Comparison of adsorption efficiency at different p H indicated that electrostatic interaction also played an important role in tetracycline-GO interactions. Site energy analysis confirmed a highly heterogeneous distribution of the binding sites and strong tetracycline binding affinity of GO surface. | Lin He Fei-fei Liu Mengyao Zhao Zhen Qi Xuefei Sun Muhammad Zaheer Afzal Xiaomin Sun Yanhui Li Jingcheng Hao Shuguang Wang | 2018 | Journal of Environmental Sciences2018，30，4： | 4 |
| 2 | A Modified Root-MUSIC Algorithm for Signal DOA Estimation显示文摘This paper presents a modified Root-MUSIC algorithm by which the signal DOA estimation performance can be improved when the snapshot number is limited. The operation principlesof this algorithm are described in detail. It is also pointed out theoretically that this is equivalentto have increased the snapshot number and can make the DOA estimation better. Finally, somesimulating results to verify the theoretical analyses are presented. | He Zishu Li Yong & Xiang Jingcheng(Institute of Electronic Engineering, University of Electronic Science & Technology,Chengdu 610054, P. R. China) | 1999 | Journal of Systems Engineering and Electronics1999，10，4： | 2 |
| 3 | Short-term Wind Speed Prediction with a Two-layer Attention-based LSTM显示文摘Wind speed prediction is of great importance because it affects the efficiency and stability of power systems with a high proportion of wind power.Temporal-spatial wind speed features contain rich information;however,their use to predict wind speed remains one of the most challenging and less studied areas.This paper investigates the problem of predicting wind speeds for multiple sites using temporal and spatial features and proposes a novel two-layer attentionbased long short-term memory(LSTM),termed 2Attn-LSTM,a unified framework of encoder and decoder mechanisms to handle temporal-spatial wind speed data.To eliminate the unevenness of the original wind speed,we initially decompose the preprocessing data into IMF components by variational mode decomposition(VMD).Then,it encodes the spatial features of IMF components at the bottom of the model and decodes the temporal features to obtain each component's predicted value on the second layer.Finally,we obtain the ultimate prediction value after denormalization and superposition.We have performed extensive experiments for short-term predictions on real-world data,demonstrating that 2Attn-LSTM outperforms the four baseline methods.It is worth pointing out that the presented 2Atts-LSTM is a general model suitable for other spatial-temporal features. | Jingcheng Qian Mingfang Zhu Yingnan Zhao Xiangjian He | 2021 | Computer Systems Science & Engineering2021，39，11： | 1 |
| 4 | Immunomodulatory effectiveness of tacrolimus in preventing epidural scar adhesion after laminectomy in rat model显示文摘 | Lianqi Yan Xiaolei Li Jingcheng Wang Sun Yu Daxing Wang Jiaxiang Gu Jinshan He Hansheng Hu Gang Chen Qiang Wang Xinmin Feng | 2012 | European Journal of Pharmacology2012，，： | 1 |
| 5 | Hypoxia inducible factor (HIF)-1α directly activates leptin receptor (Ob-R) in pancreatic cancer cells显示文摘 | He Ren Lingling Jia Tiansuo Zhao Huan Zhang Jing Chen Shaoguang Yang Jingcheng Liu Ming Yu Jihui Hao | 2014 | Cancer Letters2014，，1： | 1 |
| 6 | The continuous wavelet projections algorithm: A practical spectral-feature-mining approach for crop detection显示文摘Spectroscopy can be used for detecting crop characteristics. A goal of crop spectrum analysis is to extract effective features from spectral data for establishing a detection model. An ideal spectral feature set should have high sensitivity to target parameters but low information redundancy among features.However, feature-selection methods that satisfy both requirements are lacking. To address this issue,in this study, a novel method, the continuous wavelet projections algorithm(CWPA), was developed,which has advantages of both continuous wavelet analysis(CWA) and the successive projections algorithm(SPA) for generating optimal spectral feature set for crop detection. Three datasets collected for crop stress detection and retrieval of biochemical properties were used to validate the CWPA under both classification and regression scenarios. The CWPA generated a feature set with fewer features yet achieving accuracy comparable to or even higher than those of CWA and SPA. With only two to three features identified by CWPA, an overall accuracy of 98% in classifying tea plant stresses was achieved, and high coefficients of determination were obtained in retrieving corn leaf chlorophyll content(R^(2)= 0.8521)and equivalent water thickness(R^(2)= 0.9508). The mechanism of the CWPA ensures that the novel algorithm discovers the most sensitive features while retaining complementarity among features. Its ability to reduce the data dimension suggests its potential for crop monitoring and phenotyping with hyperspectral data. | Xiaohu Zhao Jingcheng Zhang Ruiliang Pu Zaifa Shu Weizhong He Kaihua Wu | 2022 | The Crop Journal2022，10，5： | 1 |
| 7 | 3D-printed auxetic-structured intervertebral disc implant for potential treatment of lumbar herniated disc显示文摘In this study,a novel artificial intervertebral disc implant with modified“Bucklicrystal”structure was designed and 3D printed using thermoplastic polyurethane.The new implant has a unique auxetic structure with building blocks joined“face-to-face”.The accompanied negative Poisson’s ratio enables its excellent energy absorption and stability under compression.The deformation and load distribution behavior of the implant under various loading conditions(bending,torsion,extension and flexion)has been thoroughly evaluated through finite element method.Results show that,compared to natural intervertebral disc and conventional 3D implant,our new implant exhibits more effective stress transfer and attenuation under practical loading conditions.The implant’s ability to contract laterally under compression can be potentially used to alleviate the symptoms of lumbar disc herniation.Finally,the biocompatibility of the implant was assessed in vitro and its ability to restore the physiological function of the disc segment was validated in vivo using an animal model. | Yulin Jiang Kun Shi Luonan Zhou Miaomiao He Ce Zhu Jingcheng Wang Jianhua Li Yubao Li Limin Liu Dan Sun Ganjun Feng Yong Yi Li Zhang | 2023 | Bioactive Materials2023，，2： | 1 |
| 8 | An Empirical Analysis on the Stable Return of Resident Funds显示文摘This paper mainly studies how investors invest in funds to obtain high returns while avoiding risks.Firstly,from the perspective of portfolio investment,this paper introduces the traditional Markowitz mean-variance model and capital asset pricing model(CAPM),then selects four funds from different industries by MATLAB program in Sina Finance and Economics Network for application analysis from which the optimal portfolio point can be obtained under the combination of efficient frontier and capital allocation line.Subsequently,by analyzing the returns of long-term holdings and short-term operations of Noan Growth Hybrid Fund,it is confirmed that long-term holding funds can better cope with the changing market so as to obtain more stable returns.Finally,this paper discusses the dynamic adjustments of asset portfolio.Resident investors are supposed to take into account the market situation and the changes of the fund itself to adjust the holding fund portfolio.Based on the research in this paper,resident investors ought to combine investment funds to diversify risk allocation and make long-term holding plans according to their risk tolerance.At the same time,they should also make appropriate dynamic adjustments when the external environment changes to ensure long-term benefits. | Jinling He Zixiang Xia Jingcheng He Xin Gao | 2021 | Proceedings of Business and Economic Studies2021，4，4： | 0 |
| 9 | Modified Eigendecomposition DOA EstimateAlgorithms and Field Test Studiesfor Super-Resolution显示文摘The signal direction of arrival (DOA) estimate algorithm based on the eigendecomposition of the modified covariance matrix is introduced in this paper. A field test system consisting of a 4-element linear array and a meter band radar is also presented, which is applied to the experimental studies of the algorithms in the practical performances. The results of the test indicate that when SNR is only 5.85dB, two airplanes being 0.25 beam width apart in azimuth can be resolved clearly. | He Zishu Huang Zhengxing Xiang Jingcheng | 2000 | Journal of Systems Engineering and Electronics2000，11，4： | 0 |
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