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| 1 | 法典理性与民法总则以中国大陆民法典编纂为思考对象显示文摘 | 朱庆育 | 2010 | 中外法学2010，22，4： | 43 |
| 2 | 射电类星体黑洞质量和射电特性的研究显示文摘收集了117个类星体(20个射电宁静类星体和97个射电噪类星体)的红移、热光度、H_β发射线宽度、5 100 A的单色光度、射电噪度.利用反响映射法计算了样本的黑洞质量和爱丁顿比,利用总的5 GHz流量密度计算出射电光度.分析了它们之间的相关性,得到的结论如下:(1)射电宁静类星体的黑洞质量和热光度、射电噪度、射电光度之间具有弱相关性,而射电噪类星体黑洞质量和热光度、射电噪度、射电光度之间具有强相关性;(2)射电宁静类星体热光度和射电光度、5 100 A的单色光度之间具有弱的相关性,而射电噪类星体热光度和射电光度、5 100 A的单色光度之间具有强的相关性;(3)射电宁静和射电噪类星体的黑洞质量、发射线宽度和爱丁顿比分布有差异.基于这些结果得到:射电宁静和射电噪类星体发射线宽度的差异可能是导致它们黑洞质量不同的原因;射电宁静和射电噪类星体本质的不同是由于内秉物理性质的不同造成的;黑洞质量、黑洞自旋、爱丁顿比和寄主星系形态是解释射电噪度起源和双峰状分布的重要参量;射电喷流和盘的吸积率之间具有紧密的关系. | 熊定荣 张雄 郑永刚 黄邦蓉 毛李胜 刘文广 | 2012 | 天文学报2012，53，5： | 3 |
| 3 | OsXCl(PPh_3)_3(X=H,Cl)与炔丙基氯反应合成烯基卡拜配合物及膦配体调控的锇-氢卡拜向卡宾配合物的转化显示文摘简单的锇起始物OsHCl(PPh_3)_3(1)或OsCl_2(PPh_3)_3(2)与3-氯-3-甲基-1-丁炔反应可分别得到锇的烯基卡拜配合物OsHCl_2(≡CCH=CMe_2)(PPh_3)_2(3)和OsCl_3(≡CCH=CMe_2)(PPh_3)_2(4).化合物3与二苯基(苯乙炔基)膦反应可转化为三个二苯基(苯乙炔基)膦配位的锇烯基卡宾配合物OsCl_2(=CHCH=CMe_2)(Ph_2PC≡CPh)_3(5),而化合物4与二苯基(苯乙炔基)膦反应得到膦配体取代产物OsCl_3(≡CCH=CMe_2)(Ph_2PC≡CPh)_2(6).二苯基(苯乙炔基)膦配体较弱的供电子能力及较小的空间位阻是促成化合物3发生锇上的原子氢配体到卡拜碳的1,2-迁移而转化为卡宾配合物5的原因. | 杨玉 蔡涛 温庭斌 | 2017 | 有机化学2017，37，1： | 2 |
| 4 | LOV to BLUF: Flavoprotein Contributions to the Optogenetic Toolkit显示文摘Optogenetics 是联合光、基因的途径 non-invasively 与优美空间与时间的控制防碍细胞的事件的一块新兴的地。尽管它从神经科学原来产生了, optogenetics 对许多不同生物系统的学习广泛地适用,从这种技术产生的应用程序的范围继续增加。而且,使用设计新 optogenetic 工具的光敏感的蛋白质的全部剧目很快正在膨胀。察觉到的光,氧,或电压和 Blue-Light-Utilizing 黄素腺嘌 dinucleotide (一度时髦的风尚)(BLUF )(LOV ) 领域代表新贡献者到 optogenetic 工具箱。这些小(100140-amino 酸) 黄素蛋白模块从对 UV-A/blue 光作出回应的植物和细菌的光敏电阻器被导出。在最近的年里,可观的进步在揭开被成为了 LOV 和 BLUF 领域的 photoactivation 机制。这知识在合成 photoswitches 的设计被使用了并且荧光灯有在房间生物学和生物工学的应用的记者。在这评论,我们总结 LOV 和 BLUF photosensors 的光化学的性质并且加亮一些这些黄素蛋白怎么正在被采用人工地调整并且想象的最近的进展许多生物过程。 | John M. Christie Jayde Gawthorne Gillian Young Niall J. Fraser^c and Andrew J. Roe | 2012 | Molecular Plant2012，5，3： | 2 |
| 5 | Computer-aided Prediction of the ZrO_2 Nanoparticles' Effects on Tensile Strength and Percentage of Water Absorption of Concrete Specimens显示文摘In the present paper,two models based on artificial neural networks and genetic programming for predicting split tensile strength and percentage of water absorption of concretes containing ZrO2 nanoparticles have been developed at different ages of curing.For building these models,training and testing using experimental results for 144 specimens produced with 16 different mixture proportions were conducted.The data used in the multilayer feed forward neural networks models and input variables of genetic programming models were arranged in a format of eight input parameters that cover the cement content,nanoparticle content,aggregate type,water content,the amount of superplasticizer,the type of curing medium,age of curing and number of testing try.According to these input parameters,in the neural networks and genetic programming models,the split tensile strength and percentage of water absorption values of concretes containing ZrO2 nanoparticles were predicted.The training and testing results in the neural network and genetic programming models have shown that two models have strong potential for predicting the split tensile strength and percentage of water absorption values of concretes containing ZrO2 nanoparticles.It has been found that neural network(NN) and gene expression programming(GEP) models will be valid within the ranges of variables.In neural networks model,as the training and testing ended when minimum error norm of network gained,the best results were obtained and in genetic programming model,when 4 genes were selected to construct the model,the best results were acquired.Although neural network have predicted better results,genetic programming is able to predict reasonable values with a simpler method rather than neural network. | Ali Nazari Shadi Riahi | 2012 | Journal of Materials Science & Technology2012，28，1： | 1 |
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