低能区的16O+12C散射折叠模型研究

基于^12C和^16O原子核的α粒子结构，利用α粒子折叠模型对较低能区的^16O＋^12C弹性散射进行了研究计算。计算结果表明，α粒子折叠模型能较好地描述低能区的^16O＋^12C弹性散射角分布实验数据。折叠模型光学势的虚部对小射角区影响很小，但对大射角区的截面计算有一定的影响。     

在MATLAB中使用C语言程序

MATLAB在科学研究以及工程建设等领域发挥着越来越重要的作用,同时当前具有大量早期开发的成熟的C语言程序。在MATLAB中利用成熟的C语言代码具有重要的意义。通过MEX文件把现有的C语言代码导入到MATLAB中使用,研究了MEX文件的制作方法。通过使用C代码不仅可以有效地提高MATLAB环境中数据处理速度和效率,而且还可以减少开发费用和加快开发速度。     

C语言数组在使用中常见的几种错误

对C语言的数组在定义和使用过程中出现的几种错误进行了讨论,指出了出错的原因,并举例分析具体说明,给出正确结论。     

老鼠实验探索人类疾病奥秘

复杂的基因网络隐藏着引发肥胖、癌症以及心脏等病症的奥秘，美国杰克逊实验室正在通过老鼠实验，以此拨开困扰人类的多种疾病与基因之间的重重迷雾--[编者按]     

Homology Priority Task Scheduling in μC/OS-Ⅱ Real-Time Kernel

μC/OS-Ⅱ is an open source real-time kernel adopting priority preemptive schedule strategy. Aiming at the problem of μC/OS-Ⅱ failing to support homology priority tasks scheduling, an approach for solution is proposed. The basic idea is adding round-robin scheduling strategy in its original scheduler in order to schedule homology priority tasks through time slice roundrobin. Implementation approach is given in detail. Firstly, the Task Control Block （TCB） is extended. And then, a new priority index table is created, in which each index pointer points to a set of homology priority tasks. Eventually, on the basis of reconstructing μC/OS-Ⅱ real-time kernel, task scheduling module is rewritten. Otherwise, schedulability of homology task supported by modified kernel had been analyzed, and deadline formula of created homology tasks is given. By theoretical analysis and experiment verification, the modified kernel can support homology priority tasks scheduling, meanwhile, it also remains preemptive property of original μC/OS-Ⅱ.     

浅析IT类B2C网站的免费推广策略

IT类B2C网站是近年来兴起的一类在线销售IT商品的网站,本文分析了此类网站的常用推广方式,归纳了这些推广方式的原理、技巧以及特点,并阐明了选择这些策略时应遵循的步骤,供此类网站做网站推广、实现网络营销时参考。     

基于LPC2104的μC/OS-II引导装载系统的设计与实现

在嵌入式系统设计中,针对嵌入式处理器和操作系统的引导装载系统代码的设计是一个重点.根据LPC2104的硬件结构,给出在基于μC/OS-II操作系统的嵌入式应用中,BootLoader程序的设计流程,编写了启动代码,整个方案有较大的灵活性和实用性.     

非计算机专业“C语言”教学探讨

本文针对于非计算机专业“C语言”教学过程中存在的主要问题,阐述了如何设置课程和实验的问题,并对教学方法进行了探索,通过培养学生的兴趣、激发学生学习的积极性带动教学,取得了良好的效果。     

C语言编程的技巧探讨

虽然各种各样的开发工具层出不穷,C语言依然是最基础、最实用的程序设计语言之一。如何快速高效地掌握C语言的精华,是每个初学者普遍思考的问题。本文从程序设计的基本过程出发,给出了程序设计的基本思路,并结合C语言实际,提出学好C语言的方法和技巧,指出C语言中的知识要点和难点,使初学者可以有的放矢地学习C语言,起到事半功倍的效果。     

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.