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| 1 | Analysis of microscopic pore structures of rocks before and after water absorption显示文摘岩石的吸水的特征被他们的显微镜的毛孔结构影响,它清楚地在水吸收以后变化。水吸收测试和扫描电子显微镜(SEM ) 在岩石上试验样品,在西藏在一个地点定位了,中国,被执行。在水吸收前后的岩石毛孔结构的变化与毛孔尺寸的分发和毛孔的分数维的特征被学习。因为新小毛孔的数字生产了,表面孔,毛孔的分数维的尺寸和毛孔结构的复杂性增加了的结果表演增加了或在岩石吸收了水以后,原来的 macropore 流动隧道被扩展。有他们的水吸收曲线上的变化的点。在另外的岩石的水吸收以后,当原来的毛孔流动隧道变得充满,表面孔和毛孔的分数维的尺寸和毛孔结构的复杂性减少了。水吸收曲线没变化。表面孔和岩石的毛孔分数维图形尺寸在水吸收前后有好线性关系。 | Li Dejian Wang Guilian Han Liqiang Liu Peiyu He Manchao Yang Guoxing Tai Qimin Chen Cheng | 2011 | Mining Science and Technology2011，21，2： | 6 |
| 2 | Cloned goats (Gapra hircus) from foetal fibroblast cell lines显示文摘Mammalian cloning has been one of the most active research topics in the world. Cioning with in vitro culured foetal fibroblast cells, in comparison with embryonic cells, can be used not only to theoretically study the embryonic or cellular development and differentiation in mammals, but also to utilize the unlimited fibroblast cells to produce large numbers of clonings. The preliminary results are as follows: (i) The division and development of the cloned embryos with embryonic donor cells and goat foetal fibroblast donor cells were 55%, 77% and 35%, 31%, respectively. There is no significant statistical difference between them. (? These studies result in the birth of two cloned goats derived from two 30-day foetal fibroblast celi lines, which are the first cloned mammals from somatic cells in China. This project has established a technological data base for the furture research on adult mammalian somatic cloning and nucleocytoplasmic interactions in animal development, and a novel technique for the | WANG Yuge ZOU Xiangang LIU Jie ZHANG Jingpu ZHANG Xuechen LAO Weide DU Miao CHENG Guoxing CHENG Yong CHEN Jianquan ZHANG Suolin XU Shaofu | 2000 | Chinese Science Bulletin2000，45，1： | 4 |
| 3 | Development of the Array Transient Electromagnetic System and Its Experiments显示文摘Transient electromagnetic (TEM) technique plays a significant role in mineral exploration. To accommodate the complicated survey environments in the west part of China, we developed a portable array TEM equipment (ATEM-1), which was implemented based upon the idea to apply the GPS timing signal for the synchronization among transmitters and receivers. The structure of the system and its performance are discussed and the case study is also described. | Lin Jun Cheng Defu Liu Guoxing Duan Qingming Zhang Linhang Yu Shengbao | 2000 | Global Geology2000，5，1： | 3 |
| 4 | Gra- phene-Enveloped Poly( N-vinylcarbazole)/Sulfur Com- posites with Improved Performances for Lithium-Sulfur Batteries by A Simple Vibrating-Emulsication Method 显示文摘 | Guoxing Qu Jianli Cheng Xiaodong Li | 2015 | ACS Applied Materials & Interfaces2015，7，16： | 1 |
| 5 | Effects of Tirofiban on Platelet Activation and Endothelial Function in Patients with ST-Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention显示文摘 | Kuan Wang Guoxing Zuo Liuying Zheng Cheng Zhang Dong Wang Zhongnan Cao Sheng Hu Xinping Du | 2015 | Cell Biochemistry and Biophysics2015，，1： | 1 |
| 6 | AN LBP-BASED MULTI-SCALE ILLUMINATION PREPROCESSING METHOD FOR FACE RECOGNITION显示文摘It is one of the major challenges for face recognition to minimize the disadvantage of il- lumination variations of face images in different scenarios. Local Binary Pattern (LBP) has been proved to be successful for face recognition. However, it is still very rare to take LBP as an illumination preprocessing approach. In this paper, we propose a new LBP-based multi-scale illumination pre- processing method. This method mainly includes three aspects: threshold adjustment, multi-scale addition and symmetry restoration/neighborhood replacement. Our experiment results show that the proposed method performs better than the existing LBP-based methods at the point of illumination preprocessing. Moreover, compared with some face image preprocessing methods, such as histogram equalization, Gamma transformation, Retinex, and simplified LBP operator, our method can effectively improve the robustness for face recognition against illumination variation, and achieve higher recog- nition rate. | Jiang Guoxing Cheng Yanfang | 2009 | Journal of Electronics(China)2009，26，4： | 1 |
| 7 | Strong,tough,and thermally conductive nacre-inspired boron nitride nanosheet/epoxy layered nanocomposites显示文摘Thermally conductive polymer nanocomposites integrated with lightweight,excellent flexural strength,and high fracture toughness(KIc)would be of great use in many fields.However,achieving all of these properties simultaneously remains a great challenge.Inspired by natural nacre,here we demonstrate a lightweight,strong,tough,and thermally conductive boron nitride nanosheet/epoxy layered(BNNEL)nanocomposite.Because of the layered structure and enhancing the interfacial interactions through hydrogen bonding and Si–O–B covalent bonding,the resulting nacre-inspired BNNEL nanocomposites show high fracture toughness of~4.22 MPa·m^(1/2),which is 7 folds as high as pure epoxy.Moreover,the BNNEL nanocomposites demonstrate sufficient flexural strength(~168.90 MPa,comparable to epoxy resin),while also being lightweight(~1.23 g/cm^(3)).Additionally,the BNNEL nanocomposites display a thermal conductivity(κ)of~0.47 W/(m·K)at low boron nitride nanosheet loading of 2.08 vol.%,which is 2.7 times higher than that of pure epoxy resin.The developed nacre-inspired strategy of layered structure design and interfacial enhancement provides an avenue for fabricating high mechanical properties and thermally conductive polymer nanocomposites. | Huagao Wang Rongjian Lu Lei Li Cheng Liang Jia Yan Rui Liang Guoxing Sun Lei Jiang Qunfeng Cheng | 2024 | Nano Research2024，17，2： | 1 |
| 8 | How does recom-binant human bone mophogenetic protein-4 enhance posterior spinalfusion显示文摘 | Cheng JC Guox Law LP | 2002 | Spine2002，27，5： | 1 |
| 9 | A 124 dB dynamic range sigma-delta modulator applied to non-invasive EEG acquisition using chopper-modulated input-scaling-down technique显示文摘With the advancement of brain science in recent years,the non-invasive brain-computer interfaces(BCIs)based on electroencephalogram(EEG)acquisition have been widely adopted in various brain-inspired applications.The acquisition of multi-channel microvolts EEG signals corrupted by the motion artifacts(MAs)of up to several volts poses enormous challenges to the design of analog front-end(AFE),especially the analog-to-digital converter(ADC),which is necessary to achieve low noise,wide dynamic range(DR),high accuracy as well as low power.In this paper,a wide DRΣ∆modulator with chopper-modulated inputscaling-down(CM-ISD)technique has been proposed to deal with large input offset while extending dynamic range.Fabricated in 180 nm CMOS technology,the prototype occupies a core area of 0.32 mm^(2).With a 40 Hz input signal and 125 Hz Nyquist bandwidth,the measured signal-to-noise ratio(SNR)and signalto-noise and distortion ratio(SNDR)are 117 and 110 dB,respectively.Thanks to the proposed CM-ISD technique,the modulator is capable of withstanding a full-scale(4.5 V_(pp))input whereas the measured DR has been extended from 99 to 124 dB.The power consumption is 2.75 mW under 5 V supply voltage,corresponding to 170.6 dB Schreier figure-of-merit(FoMS).The multi-channel EEG acquisition has been demonstrated based on the proposed modulator,showing its potential in advanced non-invasive BCI systems. | Kaiquan CHEN Mingyi CHEN Longlong CHENG Liang QI Guoxing WANG Yong LIAN | 2022 | Science China(Information Sciences)2022，65，4： | 0 |
| 10 | Machine Learning for Predicting the Development of Postoperative Acute Kidney Injury After Coronary Artery Bypass Grafting Without Extracorporeal Circulation显示文摘Background:Cardiac surgery-associated acute kidney injury(CSA-AKI)is a major complication that increases morbidity and mortality after cardiac surgery.Most established predictive models are limited to the analysis of nonlinear relationships and do not adequately consider intraoperative variables and early postoperative variables.Nonextracorporeal circulation coronary artery bypass grafting(off-pump CABG)remains the procedure of choice for most coronary surgeries,and refined CSA-AKI predictive models for off-pump CABG are notably lacking.Therefore,this study used an artificial intelligence-based machine learning approach to predict CSA-AKI from comprehensive perioperative data.Methods:In total,293 variables were analysed in the clinical data of patients undergoing off-pump CABG in the Department of Cardiac Surgery at the First Affiliated Hospital of Guangxi Medical University between 2012 and 2021.According to the KDIGO criteria,postoperative AKI was defined by an elevation of at least 50%within 7 days,or 0.3 mg/dL within 48 hours,with respect to the reference serum creatinine level.Five machine learning algorithms—a simple decision tree,random forest,support vector machine,extreme gradient boosting and gradient boosting decision tree(GBDT)—were used to construct the CSA-AKI predictive model.The performance of these models was evaluated with the area under the receiver operating characteristic curve(AUC).Shapley additive explanation(SHAP)values were used to explain the predictive model.Results:The three most influential features in the importance matrix plot were 1-day postoperative serum potassium concentration,1-day postoperative serum magnesium ion concentration,and 1-day postoperative serum creatine phos-phokinase concentration.Conclusion:GBDT exhibited the largest AUC(0.87)and can be used to predict the risk of AKI development after surgery,thus enabling clinicians to optimise treatment strategies and minimise postoperative complications. | Sai Zheng Yugui Li Cheng Luo Fang Chen Guoxing Ling Baoshi Zheng | 2023 | Cardiovascular Innovations and Applications2023，7，1： | 0 |
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