SnO2·X电热膜的制备和在家庭电暖气加热器中的应用

以SnCl4·5H2O为原料,真空溅射法制备SnO2·X电热膜。研究了元素搀杂量及镀膜温度对电阻及电阻温度特性的影响。家庭电暖气加热器的应用实验结果表明,SnO2·X膜热效率高,功率密度达到42W·cm-2.     

变系数对流扩散方程的交替分段显-隐式方法

应用交替分段显－隐方法求解变系数对流扩散方程，此方法具有很好的并行性且无条件稳定。     

一维核废料污染问题的一个二阶格式

利用降价法研究了多孔介质中一维核废料污染问题，此模型由一非线性抛物－椭圆耦合偏微分方程组的初边值问题来描述，对此问题给出了一个关于时间和空间均具有二阶精度的差分格式，并进行了理论分析。     

3-芳氧基-1,2-环氧丙烷的合成

对3-芳氧基-1，2-环氧丙烷类化合物合成方法进行了研究，对反应条件、操作过程及品质控制等方面进行了改进，合成了11个3-芳氧丙烷类化合物，改进后的方法实用，产率高于文献报道，有普遍的推广应用的价值。     

反应气压对生长金刚石膜的影响

实验以CH3CH2OH和H2 为气源,用微波等离子体CVD法沉积金刚石膜,并用金相显微镜(×400)观察其沉积效果,X射线衍射仪表征其成膜质量,最后分析反应气压对金刚石膜的影响.     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

The controlling factors and distribution prediction of H2S formation in marine carbonate gas reservoir, China

Generally, there are some anhydrites in carbonate reservoir, as H2S is also familiar in carbonate oil and gas reservoirs. Nowadays, natural gas with high H2S concentration is usually considered as TSR origin, so there is close relationship between H2S and anhydrite. On the contrary, some carbonate rocks with anhydrite do not contain H2S. Recently, researches show that H2S is only a necessary condition of H2S formation. The reservoir porosity, sulfate ion content within formation water, reservoir temperature, oil/gas and water interface, hydrocarbon and some elements of reservoir rock have great controlling effects on the TSR occurrence. TSR deoxidizes hydrocarbon into the acidic gas such as H2S and CO2, and the H2S formation is controlled by TSR occurrence, so the relationship among reaction room, the contact chance of sulfate ion and hydrocarbon, the reservoir temperature has great influence on the TSR reaction. H2S has relatively active chemical quality, so it is still controlled by the content of heavy metal ion. Good conditions of TSR reaction and H2S preservation are the prerequisite of H2S distribu- tion prediction. This paper builds a predictive model based on the characteristic of natural gas reservoir with high H2S-bearing. In the porosity reservoir with anhydrite, the formation water is rich in sulfate and poor in heavy metal ion. Oil and gas fill and accumulate in the gas reservoir with good preservation conditions, and they suffered high temperature later, which indicates the profitable area of natural gas with high H2S-bearing.     

H—列闭空间与H—序列闭空间

本文引进了θ-聚点,II-列闭空间与II-序列闭空间的概念,并对II-可数闭空间、II-列闭空间、II-序列闭空间建立了一些关系.