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.     

试论魏晋“深情”及其诗学意义

魏晋时期,伴随着理性世界的转变,人们的感性世界也发生了极大的变化,出现所谓的魏晋“深情”。这种以知识分子为情感主体的“深情”,既不同于《诗经》时代原发性的“民情”,也不同于儒家“发乎情,止乎礼义”的“性情”和道家“有人之形而无人之情”的“天情”,它是知识分子个体生命意识觉醒之后于天地宇宙中寻求心灵安顿和精神自由的情感,即人生和宇宙合而为一的生命超越之情。正是这种魏晋“深情”,把中国诗学引向强调“神与物游”和“情景相生”的抒情道路,并深深地刻上了宇宙情怀。     

低热能面包的研究

本研究设计了低热能面包的综合评分法的评分标准;运用正交试验方法,优选最佳配方方案,研制出低热能面包,论述了制作工艺、流程及配方.     

合金铸铁激光处理的探讨——Ⅱ.激光辐照工艺参数的控制

用热传导方程控制激光辐照温度,建立了一种新回归方程以控制激光辐照硬化深度,选用卡尔丹公式列热传导方程及同归方程联立求解,可得到同时满足一定的硬化深度及表面最高温度双重要求的工艺参数,此种方法可作为激光硬化处理工艺参数的控制或预报,对本合金铸铁的激光硬化处理,其表面温度的下限应大于其熔点温度,即以表面产生微熔的快速冷凝处理为宜,并以选取低功率慢扫描为最佳。     

一种新的基于Kohonen网络的图像矢量量化

矢量量化是一种重要的数据压缩方法.本文利用Kohonen自组织映射神经网络进行矢量量化,首次较为详细地讨论了具体实现的步骤与细节,并在此基础上为改善边缘质量,提出一种基于Laplas算子检测边缘弓引导神经网络训练的方法,并通过实验证明其效果是明显的.     

复合氧化物晶体晶格能的近似计算

本文以 Born-Harb 循环为依据,推导了复合晶体晶格能和与其相应的各二元化合物晶体晶格能之间的关系,并由此给出了复合氧化物晶体晶格能近似计算的新公式。对20种复合氧化物晶体晶格能计算结果的分析表明:用本文所给公式对复合氧化物晶体晶格能进行近似计算是可行的。     

边界拟合坐标系中的流动方程

本文提出了流体力学解析边界拟合坐标系方法，及建立在这种坐标系基础上对流动方程进行摄动处理的方法，并列举几种流动建立了解析边界拟合坐标系中的方程。     

Cu基形状记忆合金中析出相的研究

本文利用 X 射线衍射分析、透射电镜等技术,研究了几种热处理制度下 Cu—27.84 Al—3.82 Ni(at%)合金中析出相;用会聚束(CBED)技术测定了析出相与马氏体的取向关系。结果表明:分级处理试样中析出相 r_2是复杂立方结构,晶格参数 a=0.87nm;大量弥散的折出相引起共格应变场,从而使分极处理试样 X 射线衍射峰型宽化;r_2与2H 马氏体的取向关系为;[00]2H‖[001]_r_2,(10)_(2H)‖(300)_r_2。