LaMnO3不同晶位掺杂的磁电阻效应

基于研究钙钛矿型氧化物磁电阻效应的目的,采用固相反应法制备了实验所需的单相多晶样品,主要就La位二价金属离子掺杂和稀土互掺及Mn位掺杂对LaMnO3磁电阻影响的实验结果作比较研究,发现La位稀土互掺对磁电阻的影响可以用晶格效应来解释,并明确指出La位和Mn位掺杂是提高和调制钙钛矿型锰氧化物超大磁电阻效应的一种有效途径.     

非线性叠加效应研究

对非线性叠加效应进行了研究,在Toda晶格中,当两孤立子运动方向相同时,其速度波的振幅的极大值是原来两波振幅之差,两波叠加的最大振幅是原来两波振幅之和。这些结果跟线性波叠加情况是完全不同的。     

用变分法分析地基-箱形基础-上部结构相互作用

利用空间子结构法凝聚上部结构的刚度与荷载,形成一个超级单元,同时,采用有限分层地基模型,并计及基础自身刚度的影响,建立起基于能量变分原理的地基-箱形基础-上部结构相互作用的数学模型.由于该模型合理的体现了三者协同工作的机制,从而可以对问题进行较为全面的分析.     

基于k-分辨-FB级数展开的多分量LFM信号分离

针对傅里叶-贝塞尔变换(FBT)难以估计和有效分离多分量LFM信号的问题,提出了一种k分辨-FB(k-FB)级数展开结合dechirp的信号分离与估计算法。在FB级数的基础上引入k分辨参数,通过理论推导,得出了信号频率与级数的关系,证明了参数估计精度与k取值正相关。通过解线频调和k-FB级数计算,实现了信号分离重构和参数估计。在不同信噪比、信号功率比和k分辨条件下对信号的分离精度进行了仿真研究,并与基于分数阶傅里叶变换(FrFT)的方法进行了对比。仿真结果验证了算法的有效性。     

Interaction Dynamics in AEC Global Teamwork

Architecture, engineering, and construction (AEC) global project teamwork is communication intensive and relies heavily on synchronous and asynchronous information and collaboration technologies (ICT). We explore in this paper how an asynchronous ICT, called ThinkTank, reshaped the work practice of design-construction global teams, and how the interaction with this ICT reshaped the purpose and benefits of its use. ThinkTank is a web-based asynchronous collaboration and discussion forum. We introduce the influence diffusion model (IDM) that formalizes the process of identifying the influence of people, messages, and terms mathematically. Discovering who the influence leaders in project teams are can be beneficial and critical from a corporate management perspective, since they can guide or motivate the team towards successful actions and outcomes. We present the ThinkTank-IDM integrated system and its validation with a testbed of 53 AEC global team project archived in ThinkTank over 8 years.     

关于振动模态参数识别的注记

回顾了关于整体拟合的分母多项式系数的争议,论证了Richardson文献中所提供的参数精度不高的原因并非源于Richardson的错误.指出一个经典考核算例的仿真传递函数生成公式不同于复模态理论提供的公式,讨论了两者之间的关系.表1,参9.     

一类分布参数混合系统的稳定性分析

将混合系统推广到分布参数环境下,提出分布参数混合系统的概念.基于混合系统和分布参数系统的建模方法,建立了一类分布参数混合系统的模型,并对其稳定性进行分析.运用算子半群理论以及混合系统的五元组描述法及其稳定性关系比较理论的结论,通过选择适当的映射,将分布参数混合系统的的稳定性问题转化为集中参数下混合系统稳定性问题,进而得出了一致渐近稳定的充分条件并加以证明.仿真实例验证了文中结论的正确性.     

A NEW DESCRIPA NEW DESCRIPTOR OF AMINO ACIDS BASED ON THE THREEDIMENSIONAL VECTOR OF ATOMIC INTERACTION FIELD

QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP (QSAR) IS A VERY IMPORTANT TOPIC FOR MANY SCIENTIFIC FIELDS AND CAN BE TERMED AS QUANTITATIVE SEQUENCE ACTIVITY MODELS(QSAM)[1] WHEN REFERRED TO THE RESEARCH ON RELATION- SHIPS BETWEEN STRUCTURES AND ACTIVITIES OF BIOLOGICAL MOLECULES, SUCH AS PROTEINS, AND NUCLEIC ACIDS. HOW- EVER, IT IS VERY DIFFICULT TO ESTABLISH A QSAM MODEL,…     

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.     

黑龙江省农村主要产业协调发展研究

<正> 当今,中国的农业问题已经被列为全党和全国人民的工作重点,已经引起了人们的高度重视。黑龙江省是全国的重要农业大省,在我国的农业发展中具有举足轻重的地位。为此全面、正确地分析黑龙江省农村在不同政策指导下的未来发展也就有着更重要的意义了。近些年来,人们根据实际