地区调度常见事故处置对策

随着电网规模的不断扩大,电网调度在对局部发生的事故处置不当时,极有可能波及全网,严重威胁整个电网的安全、稳定运行,有时甚至会给整个电网带来灾难性后果,给社会的稳定、和谐造成负面影响。依据相关电力法规和电网运行技术标准,在总结多年实践经验的基础上,结合地区一级调度的实际情况,对调度事故处置的指挥策略、处置措施进行规范,以指导调度进行事故处置。并特别强调了在处置危急、影响较大的电力事故时,调度应采取的紧急措施。     

Image denoising using pulse coupled neural network with an adaptive Pareto genetic algorithm

Recently, pulse coupled neural network (PCNN) attracts much attention in image denoising as a nonlinear filtering technique. The PCNN‐based anisotropic diffusion (PCNN‐AD) method has been proposed previously for flicker noise reduction and its effectiveness has been demonstrated. Using the visual characteristics of PCNN, PCNN‐AD has also solved the problem of AD that AD is not able to suppress the isolate noise. However, there are still two drawbacks in PCNN‐AD, that is, time consuming and PCNN parameters' estimation. In order to improve the efficiency and the denoising performance of PCNN‐AD, a PCNN‐based method with an adaptive Pareto genetic algorithm (GA‐PCNN) has been proposed to restrain from additive white Gaussian noise (AWGN) in this paper. GA‐PCNN firstly integrates the PCNN and AD as a parallel system, then, optimizes the parameters of a simplified PCNN by the adaptive Pareto GA. Experimental results indicate that GA‐PCNN has better performances than the previous denoising techniques, i.e. median filter, Wiener filter, AD filter, and PCNN‐AD. The effectiveness of GA‐PCNN on AWGN reduction and edge preservation are shown finally. The results will also contribute to denoising in CMOS image sensors in the future. © 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

随机游走模型识别蛋白质网络复合物算法

识别出蛋白质复合物是理解蛋白质相互作用的重要方法。针对蛋白质网络中存在假阴性和假阳性问题,通过随机游走模型,有针对性对假阴性和假阳性数据进行有效筛选,定义 HP-complex图模型来识别具有生物意义的蛋白质复合物;利用GO本体计算蛋白质复合物之间的语义相似性,最终确定蛋白质复合物。实验证明,提出的基于随机游走模型的蛋白质复合物识别算法对输入参数不敏感,算法能够识别出有效的蛋白质复合物。     

Modeling and simulation of photon-coupled,fluorescent photoswitchable protein logic

Today's society has an ever-increasing demand for smaller-scale, lower-energy-consuming, cheaper, and faster computing and digital signal processing systems. Photon-coupled, fluorescent photoswitchable protein-based architectures are promising candidates for the fulfillment of these requirements. In order to properly design digital circuits based on the aforementioned building blocks, an efficient simulation procedure is needed. We present a simple, differential equation-based model, suitable for the design and simulation of such structures. It characterizes the radiation-induced switching, the form-dependent fluorescence, and the effect of photon coupling in a fast and efficient manner. The applicability of the model is demonstrated through simulations of the OR and NOR logic gates consisting of readily available, fluorescent photoswitchable proteins. It can be a potential design tool for future molecular logic circuitry based on such molecules.     

反胶束溶液同时萃取油和蛋白质的工艺研究

对AOT/异辛烷体系同时萃取大豆中的油和蛋白质进行了研究.实验结果表明蛋白质的萃取率受萃取时间、水溶液的pH值、盐浓度、AOT浓度的影响,与传统制油工艺比较,油的萃取效果基本不变.正交实验分析表明,前萃的最佳条件为萃取时间90min,盐浓度0.1mol/L,pH值5.0,AOT浓度6g/50ml异辛烷.     

大豆蛋白酶水解物抗氧化性的研究

通过选择4种蛋白酶（风味蛋白酶、胰蛋白酶、液体中性蛋白酶和枯草杆菌1398固体中性蛋白酶）来对大豆分离蛋白进行水解,在其最适水解条件下,测定不同水解时间下的水解度,比较4种蛋白酶水解物抗氧化力的大小和水解度与水解时间的关系。结果表明4种蛋白酶水解物中风味蛋白酶水解物的相对抗氧化活力最大,其他依次为1398S。固体中性蛋白酶、液体中性蛋白酶和胰蛋白酶。     

大豆分离蛋白/壳聚糖共混膜热力学性能

采用差示扫描量热法(DSC)研究了成膜基质比例、增塑剂丙三醇体积分数和pH值对大豆分离蛋白(SPI)/壳聚糖(CS)共混膜热力学性能的影响。结果表明:共混膜较相同条件下SPI和CS单纯膜的结构更加稳定,成膜基质比例SPI∶CS=1∶1时共混膜交联度最高,热稳定性最好;增塑剂丙三醇体积分数的提高可降低共混膜放热峰的高度,增加放热峰的宽度,但是玻璃化转化温度和熔融温度随之降低;当pH值在1～3时,共混膜的玻璃化转化温度、熔融温度和结晶度值均较低,pH值在4～6时,各值升高,共混膜的热稳定性较好。     

重组质粒pMG36e-nisI-gfp在乳酸菌中的应用

本研究将带有nisI和咖（绿色荧光蛋白）基因的乳酸菌表达载体pMG36e-nisI-gfp转化至乳酸菌中,观察其在宿主内的稳定性．对重组菌进行了菌体形态、传代培养、质粒验证等研究,考察了该质粒的稳定性．结果显示：重组菌在不含抗生素的培养基中连续传代20代后,质粒丢失率低;菌体大小和形态基本不变;质粒经HindⅢ酶切后大小不变;GFP在第0、5、10、15和20代宿主菌中都可以表达,表达量没有明显差别,在SDS-PAGE中的带型一致;初步的动物实验验证了该质粒作为遗传标记的应用效果．说明该质粒在宿主菌中具有良好的稳定性．     

响应面法优化核桃ACE抑制肽的制备工艺研究

以核桃分离蛋白为原料,用Neutrase 0.8L酶解制备高活性的ACE抑制肽.采用反相高效液相色谱（RP-HPLC）法测定酶解多肽的ACE抑制率,同时以水解度和ACE抑制率为考查指标,通过单因素试验及响应面试验设计,优化了中性蛋白酶（Neutrase 0.8L）酶解核桃分离蛋白的酶解工艺.结果表明：各因素对水解度的影响顺序为pH〉温度〉E/S,对ACE抑制率的影响顺序为pH〉E/S〉温度;最佳酶解工艺条件为：pH 6.81、温度55℃、时间2h、底物质量浓度2%、酶与底物比3.43%,酶解产物的水解度达到8.52%,ACE抑制率达到67.94%.     

醇提法制备榛仁浓缩蛋白的工艺

以榛仁粕为原料,用乙醇浸出法生产榛仁浓缩蛋白。研究了乙醇体积分数、浸提温度、浸提时间、固液比、浸提次数等因素对榛仁浓缩蛋白中蛋白质量分数的影响。通过正交试验,确定了醇法制备榛仁浓缩蛋白的最佳工艺条件为:乙醇体积分数65%、固液比1∶9、浸提温度55℃、浸提4次(30min/次)。由该条件制备的榛仁浓缩蛋白中粗蛋白质量分数为81.73%,其色浅味淡,无溶剂残留。