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| 1 | Learning curve of computer-assisted navigation system in spine surgery显示文摘用帮助计算机的航行(罐头) 的背景脊骨外科被证明了导致低螺丝钉误放率,放射暴露的低发生和看的优秀的起作用的地对常规 intraoperative 图象 intensifier (C) 。不管多么当我们知道,以前的研究描述了的很少二个连续盒子队与不同经验背景, A 和 B 在花梗螺丝钉精确性和二位脊骨外科医生的起作用的时间上学习的在我们执行了的脊骨 surgery.Methods 的罐头的学习曲线,在一个机构在一样的时期期间。外皮的穿孔率和操作使用的一样的类型的起作用的时间装的腰部的花梗螺丝钉被分析并且比较了为二位外科医生使用 C 在起始,当四年的全部的盒子被包括时, 6 个月和 12 月罐头 usage.Results 罐头脊骨外科为外科医生 A 和 B 队与 C 相比有全面更低的外皮的穿孔率和不太吝啬的起作用的时间。它错过了是统计上重要的,与 3.3% 对 4.7%(P=0.191 ) 并且为外科医生 A 的 125.7 对 132.3 分钟(P=0.428 ) 并且 3.6% 对 6.4%(P=0.058 ) ,并且为外科医生 B 的 183.2 对 213.2 分钟(P=0.070 ) 。在一次尝试到表明学习曲线,在 6 月在每位外科医生的队的罐头系统以后的盒子被比较。穿孔率在 2.4% 减少了(P=0.039 ) 并且 4.3%(P=0.003 ) 并且起作用的时间分别地为外科医生 A 和 B 的 CAN 组到 31.8 分钟(P=0.002 ) 和 14.4 分钟(P=0.026 ) 被减少。当仅仅盒子表现在 12 以后时,用 CAN 系统的月被考虑,穿孔率在3.9%减少了( P=0.006 )并且5.6%( P 0.001 )并且起作用的时间为外科医生 A 和 B 的 CAN 组到 20.9 分钟( P 0.001 )和 40.3 分钟( P 0.001 )被减少, respectively.Conclusions 长远来说,罐头脊骨外科减少了腰部的螺丝钉外皮的穿孔率和起作用的时间。在 6 月使用在 12 个月以后装那 plateaued 以后,学习曲线显示出锋利的落下;它被穿孔率和起作用的时间数据表明。数据的小心的分析证明罐头是特别有用的让更少的富有经验的外科医生减少穿孔率和 intraoperative 时间,尽管进一步比较的研究被期望。 | BAI Yu-shu ZHANG Ye CHEN Zi-qiang WANG Chuan-feng ZHAO Ying-chuan SHI Zhi-cai LI Ming LIU Ka Po Gabriel | 2010 | Chinese Medical Journal2010，，21： | 8 |
| 2 | EXACT SOLUTIONS OF SOME FIFTH-ORDER NONLINEAR EQUATIONS显示文摘To solve the nonlinear partial differential equations is changed into solving some algebraic equations by using the function U to be expressed as linear independent functions. The new soliton and periodic solutions of some fifth\|order nonlinear partial differential equations are obtained. | Liu Xiqiang\ Bai ChenglinInstitute of Appl.Phys. and Com putational Mathem atics,PO Box 2101,Beijing 100088 Dept.of Math.,Liaocheng Teachers Univ.,Liaocheng 252059.Dept. of Com m unication Engineering,Liaocheng Teachers Univ.,Liao cheng 252059. | 2000 | Applied Mathematics(A Journal of Chinese Universities)2000，15，1： | 7 |
| 3 | Analysis of leakage current in GaAs micro-solar cell arrays显示文摘The output characteristics of micro-solar cell arrays are analyzed on the basis of a modified model in which the shunt resistance between cell lines results in current leakage.The modification mainly consists of adding a shunt resistor network to the traditional model.The obtained results agree well with the reported experimental results.The calculation results demonstrate that leakage current in substrate affects seriously the performance of GaAs micro-solar cell arrays.The performance of arrays can be improved by reducing the number of cells per line.In addition,at a certain level of integration,an appropriate space occupancy rate of the single cell is recommended for ensuring high open circuit voltages,and it is more appropriate to set the rates at 80%-90% through the calculation. | WANG YanShuo1,CHEN NuoFu1,2,3,ZHANG XingWang1,BAI YiMing1,WANG Yu1,HUANG TianMao1,ZHANG Han1 & SHI HuiWei1 1 Key Laboratory of Semiconductor Materials Science,Institute of Semiconductors,Chinese Academy of Sciences,PO Box 912,Beijing 100083,China 2 School of Renewable Energy Engineering,North China Electric Power University,Beijing 102206,China 3 National Laboratory of Micro-Gravity,Institute of Mechanics,Chinese Academy of Sciences,Beijing 100080,China | 2010 | Science China(Technological Sciences)2010，53，5： | 5 |
| 4 | Quantifying the effectiveness of SiO_2/Au light trapping nanoshells for thin film poly-Si solar cells显示文摘In order to enhance light absorption of thin film poly-crystalline silicon(TF poly-Si)solar cells over a broad spectral range, and quantify the effectiveness of nanoshell light trapping structure over the full solar spectrum in theory,the effective photon trapping flux(EPTF)and effective photon trapping efficiency(EPTE)were firstly proposed by considering both the external quantum efficiency of TF poly-Si solar cell and scattering properties of light trapping structures.The EPTF,EPTE and scattering spectrum exhibit different behaviors depending on the geometric size and density of nanoshells that form the light trapping layer.With an optimum size and density of SiO2/Au nanoshell light trapping layer,the EPTE could reach up to 40%due to the enhancement of light trapping over a broad spectral range,especially from 500 to 800 nm. | BAI YiMing 1 ,WANG Jun 2 ,CHEN NuoFu 1,3 ,YAO JianXi 1 ,YIN ZhiGang 3 ,ZHANG Han 3 , ZHANG XingWang 3 ,HUANG TianMao 3 ,WANG YanShuo 3 &YANG XiaoLi 3 1School of Renewable Energy Engineering,North China Electric Power University,Beijing 102206,China 2 National Engineering Research Center for Optoelectronic Devices,Institute of Semiconductors, Chinese Academy of Sciences,PO Box 912,Beijing 100083,China 3 Key Laboratory of Semiconductor Materials Science,Institute of Semiconductors, Chinese Academy of Sciences,PO Box 912,Beijing 100083,China | 2010 | Science China(Technological Sciences)2010，53，8： | 4 |
| 5 | Establishment of a diagnostic model of coronary heart disease in elderly patients with diabetes mellitus based on machine learning algorithms显示文摘OBJECTIVE To establish a prediction model of coronary heart disease(CHD)in elderly patients with diabetes mellitus(DM)based on machine learning(ML)algorithms.METHODS Based on the Medical Big Data Research Centre of Chinese PLA General Hospital in Beijing,China,we identified a cohort of elderly inpatients(≥60 years),including 10,533 patients with DM complicated with CHD and 12,634 patients with DM without CHD,from January 2008 to December 2017.We collected demographic characteristics and clinical data.After selecting the important features,we established five ML models,including extreme gradient boosting(XGBoost),random forest(RF),decision tree(DT),adaptive boosting(Adaboost)and logistic regression(LR).We compared the receiver operating characteristic curves,area under the curve(AUC)and other relevant parameters of different models and determined the optimal classification model.The model was then applied to 7447 elderly patients with DM admitted from January 2018 to December 2019 to further validate the performance of the model.RESULTS Fifteen features were selected and included in the ML model.The classification precision in the test set of the XGBoost,RF,DT,Adaboost and LR models was 0.778,0.789,0.753,0.750 and 0.689,respectively;and the AUCs of the subjects were 0.851,0.845,0.823,0.833 and 0.731,respectively.Applying the XGBoost model with optimal performance to a newly recruited dataset for validation,the diagnostic sensitivity,specificity,precision,and AUC were 0.792,0.808,0.748 and 0.880,respectively.CONCLUSIONS The XGBoost model established in the present study had certain predictive value for elderly patients with DM complicated with CHD. | Hu XU Wen-Zhe CAO Yong-Yi BAI Jing DONG He-Bin CHE Po BAI Jian-Dong WANG Feng CAO Li FAN | 2022 | Journal of Geriatric Cardiology2022，19，6： | 3 |
| 6 | Agricultural remote monitoring systems based on web-server-embeded technology and CDMA service显示文摘 | He Dongxian Bai Youlu Yang Po | | 0，，50： | 1 |
| 7 | Agricultural remote moni- toring systems based on web server embedded technology and CDMA service显示文摘 | Dongxian He Youlu Bai Po Yang | 2008 | New Zealand Journal of Agricultural Re- search2008，，50： | 1 |
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