3－甲基－4－甲硫基苯酚的气相色谱分析

采用ＸＥ－６０为固定液，磷酸三丁酯为内标物，气相色谱法测定３－甲基－４－甲硫基苯酚的含量，具有简便、快速、准确度高等优点。方法的平均回收率为１００．２％，标准偏差为０．１７％。     

新型催化蒸馏塔在合成甲基叔丁基醚中的应用

分析了已有的合成MTBE催化蒸馏塔结构,同时构思了新型填料式催化蒸馏塔.在模拟催化蒸馏试验装置上,利用YLQ-1型"异形”树脂催化剂进行了合成MTBE研究,获得了反应温度、液空速、回流比等有关工艺条件数据.     

染料释放化合物及一当量成色剂浅谈

简述了染料释放化合物的发展过程 ,并由此引出一当量成色剂的概念 ,叙述了一当量成色剂应用和发展 ,对一当量成色剂应用前景做了预测。     

水热离子交换时间对铯离子改型白榴石的影响

为实现对白榴石热膨胀系数的有效调控,利用铯离子对白榴石粉体进行改型。将白榴石粉体在浓度为0.3 mol/L的硫酸铯溶液中进行水热离子交换处理。利用X射线衍射仪（XRD）和扫描电子显微镜（SEM）对180 ℃下不同离子交换时间得到样品的物相和形貌进行了分析和观察。结果表明:铯离子进入白榴石晶格后,使部分白榴石转变生成了铯榴石,并且随着保温时间的延长,产物铯榴石晶体会逐渐由四方晶系过渡为立方晶系。当保温时间超过10 h时,两相间内应力增加会导致铯榴石从白榴石颗粒表面脱落,所以保温时间应该控制在2~10 h。利用JMA方程对合成铯榴石生长动力学过程进行拟合分析,从Avrami指数n小于0.5可知,整个反应主要由扩散控制。     

卫生陶瓷产品修补技术的研究

分别从冷补、渍补、打磨修补及修补复烧四个方面介绍了卫生陶瓷产品的修补技术,并从用料、操作等多方面探讨了目前存在问题及解决办法。     

斜顶偏心旋风筒的数值模拟研究

使用Fluent软件，通过RSM湍流模型和离散相模型对斜顶偏心旋风筒进行了数值模拟研究，结论是：斜顶偏心旋风简与普通型旋风筒的流场基本相同，但选择合理的顶板倾斜角度和内简的偏心距离更有利于提高旋风筒的分离效率和降低压力损失。     

沉降及外部荷载作用下益阳管廊防护效果分析

地下管廊常因填土沉降和外部荷载等原因造成管廊结构崩溃、接口错位、脱节、管身裂缝、破损等结构损伤。针对填土沉降和外部荷载作用下管廊出现的问题,结合益阳管廊项目,利用FLAC3D有限差分方法模拟土工布对填土沉降的防护以及土工格栅的构造因素对外部荷载作用下的管廊防护进行研究,模拟结果表明:益阳管廊底部铺设土工布可以有效控制填土沉降;管廊上部铺设3层,宽度为12 m的土工格栅有效减轻、分散外部荷载对管廊的作用力。     

1-(5-乙基-1,3,4-噻二唑基)-3-苯基硫脲的合成及生物活性

研究了 1 - ( 5 -乙基 - 1 ,3,4-噻二唑基 ) - 3-苯基硫脲的合成及抗菌活性。以 5 -乙基 - 2 -氨基 - 1 ,3,4-噻二唑和异硫氰酸苯酯为原料 ,在十六烷基三甲基溴化铵催化下 ,合成 1 - ( 5 -乙基 - 1 ,3,4-噻二唑基 ) - 3-苯基硫脲 ,找到了较好的合成工艺条件 ,结果表明 :5 -乙基 - 2 -氨基 - 1 ,3,4-噻二唑和异硫氰酸苯酯的摩尔比为 1∶ 1 .8,乙腈为溶剂 ,水浴加热回流 4.0 h,十六烷基三甲基溴化铵为 2 g,1 - ( 5 -乙基 - 1 ,3,4-噻二唑基 ) - 3-苯基硫脲的产率为 5 9.76%。同时发现 1 - ( 5 -乙基 - 1 ,3,4-噻二唑基 ) - 3-苯基硫脲有较强的抗菌活性     

Sulfur exchange on Co---Mo/Al2O3 hydrodesulfurization catalyst using S radioisotope tracer

A commercial Co---Mo/Al₂O₃ catalyst was labeled with the radioisotope ³⁵S in hydrodesulfurization (HDS) of ³⁵S-labeled dibenzothiophene (³⁵S-DBT) in a high-pressure flow reactor at 50 kg/cm². Then, HDS of 4-methyldibenzothiophene (4-MDBT) and 4,6-dimethyldibenzothiophene (4,6-DMDBT) or sulfur exchange of H₂S were carried out on the labeled catalyst at 50 kg/cm² and 260–360°C. The amounts of labile sulfur participating in the reaction were determined from the radioactivity of ³⁵S---H₂S released from the ³⁵S-labeled catalyst. In the HDS reactions, the amount of labile sulfur participating in the reaction decreased in the order: DBT> 4-MDBT> 4,6-DMDBT. In the sulfur exchange reaction with H₂S, the adsorption of H₂S on the catalyst reached saturation above a H₂S partial pressure of 0.36 kg/cm². It was suggested that the release of H₂S from the labile sulfur may be the rate determining step of the HDS reaction.     

Learning to Rank with Extreme Learning Machine

Relevance ranking has been a popular and interesting topic over the years, which has a large variety of applications. A number of machine learning techniques were successfully applied as the learning algorithms for relevance ranking, including neural network, regularized least square, support vector machine and so on. From machine learning point of view, extreme learning machine actually provides a unified framework where the aforementioned algorithms can be considered as special cases. In this paper, pointwise ELM and pairwise ELM are proposed to learn relevance ranking problems for the first time. In particular, ELM type of linear random node is newly proposed together with kernel version of ELM to be linear as well. The famous publicly available dataset collection LETOR is tested to compare ELM-based ranking algorithms with state-of-art linear ranking algorithms.