待定系数法在无理函数积分中的应用

在教学过程中通过对练习题: 的求解、分析、综合和归纳得: (1) 式中P_n(X)_9 Q_n(x)均为n次多项式,其中Q_n(x)的各项系数待定。 (2) 式中P_n(x)为n次多项式,f_(n-1)(x)为各项系数待定的(n-1)次多项式,μ_n为待定常数。     

匀加速荷电黑洞的量子非热辐射

本文利用Ｈａｍｉｌｔｏｎ－Ｊａｃｏｂｉ方程和推广的Ｔｏｒｔｏｉｓｅ坐标，讨论了匀加速荷电黑洞的量子非热辐射，结果表明，当ωｈ大于零时，在视界附近的邻域内，正能态与付能态姓交错，在交错的区域中会产生自发的量子非热辐时，这种量子非热辐射是由电磁势和黑洞的加速作用引起的。     

中小学局域网建设的实践

针对中学局域网的建设，本文从实际应用的角度探讨了中学局域网建设的若干重要环节，分析了中学局域网建设中遇到的困难，指出了注意事项。     

高师院校书刊阅览服务的优化与高素质人才培育

论述了高师图书馆实施综合素质教育的意义和挑战,提出了共建具有专业特色的教育基地、优化整合教育资源、全面推进素质教育等培养高素质人才,落实人才强国战略的新举措。     

ICP-AES光谱仪的研制及其分析软件的设计

目前,市场上的ICP光谱仪仍以国外仪器为主,国内仪器的开发与研制始终未能有所突破,在仪器分析软件上仍属空白,这极大限制了国内ICP光谱仪的发展.本文主要针对单道顺序扫描型ICP-AES光谱仪的硬件及分析软件的开发提供了思路.     

浅论信息化社会图书馆的服务功能

本文着眼于信息化社会对图书馆工作的影响和要求 ,阐述了图书馆由“借阅服务”到“信息服务”的服务功能的演变、信息服务的特点和信息服务对图书馆员的要求。对做好新时期的图书馆工作具有较强的理论价值和现实指导意义     

试论张洁初期作品中的叙述语言

从叙事学的角度，对张洁步入文坛初期作品的叙述语言，进行了全面系统的分析，探讨了其作品叙述语言的特色和规律。指出了张洁叙述语言的秀逸清丽、揭示心灵、对比观照三方面的特点，着重分析了张洁在作品中所运用的叙述方式和手法。     

用磷酸脲结晶母液合成的氮-磷高效膨胀型木材阻燃剂的性能研究

对用磷酸脲的结晶母液合成的氮-磷膨高效胀型阻燃剂性能进行了研究,测定了经该阻燃剂处理后的木材的耐火性能和使用性能。实验结果表明,该阻燃剂具有良好的木材阻燃性能,用该阻燃剂处理后的木材各项综合性能均较理想,是一种高效的木材阻燃剂,可以广泛用于木材阻燃。     

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.