High-efficiency Silicon Solar Cells: A Review

Over the past few decades, crystalline silicon solar cells have been extensively studied due to their high efficiency, high reliability, and low cost. In addition, these types of cells lead the industry and account for more than half of the market. For the foreseeable future, Si will still be a critical material for photovoltaic devices in the solar cell industry. In this paper, we discuss key issues, cell concepts, and the status of recent high-efficiency crystalline silicon solar cells.     

Purification and characterization of a human bradykinin binding protein from inflammatory cells

Bradykinin (BK) is a potent mediator with a broad spectrum of pharmacological and inflammatory actions which are exerted through cell surface receptors. We report here the affinity chromatographic purification of a novel 14 kDa BK binding protein from human blood neutrophils and also peripheral blood mononuclear cells (PBMC), 80% of which are lymphocytes. Radioreceptor crosslinking experiments using bifunctional crosslinkers and radiolabelled BK identified a 14 kDa protein in these cell types both on the cell surface, in glycerol purified plasma membranes and in detergent solubilized cell extracts. Purification by BK affinity chromatography from a variety of BK responsive human cell types i.e. CCD-16Lu lung fibroblasts, HL60 promyelocytes, U937 myelomonocytes and Jurkat T lymphocytes also demonstrated a 14 kDa protein. Purified material obtained from three different BK affinity columns all demonstrated three major proteins at 190, 50 and 14 kDa when eluted with either excess BK or mild acid. Neutrophil fractions from detergent solubilized cell extracts contained an additional 150 kDa protein when eluted with mild acid. Neutrophil and PBMC crude plasma membrane BK affinity column purifications yielded only a single 14 kDa protein. Radioreceptor dot assays of the purified neutrophil eluates containing the 14 kDa protein revealed specific binding to [125I]-BK with a 160 fold excess signal ratio over the original membrane extract. Our data indicates that we have successfully isolated a 14 kDa novel human BK specific binding protein expressed on the surface of inflammatory cells.     

高频超声波在氧化皮中传播性能标定

对高频超声小在12Cr2MoWVTiB(G102钢）和12Cr1MoV钢钢管运行所产生氧化皮中的传播速度进行了定量标定，并对标定误差进行了统计计算，结果表明，12Cr1MoV钢氧化皮测厚标定点最大偶然误差值为0．050mm,G102钢为0．030mm，并指明了误差来源。     

海洋石油平台水下夹桩器本体结构分析

水下夹桩器是一种广泛应用于海洋石油平台建设的液压夹具。水下夹桩器本体焊接在导管架上，支撑夹桩器液压缸。在水下夹桩器本体设计中，采用有限元法完成了对本体强度和刚度的结构分析；建立了有限元分析模型，用ANSYS软件进行结构分析，得到了分析结果，并将该结果与理论计算结果进行了比较，验证了有限元分析技术的有效性。设计结果满足工程要求，为改进和优化结构提供了理论依据，节省了分析计算时间。     

工程结构优化设计发展综述

 着重评述了工程结构优化设计研究领域从最初的尺寸优化发展到形状优化、拓扑优化的基本历程及其相关特点，并对优化设计选用的优化算法进行了归类，提出了这一领域今后仍然有待于发展的主要方面．     

一种适用于高数据速率和高速移动环境的新型信道估计方法——双正交通道信道估计方法

本文给出了一种适用于高数据速率和高速移动环境下的新型有效的信道估计方法-双正交通道信道估计方法(CETOC,Channel Estimation by using Two Orthogonal Channels),这种信道估计方法通过采用两个独立通道的联合估计,可以有效的克服快衰落的影响,从而使得在快衰落信道下应用多维状态调制成为可能.     

江口拱坝坝基渗流场有限元法分析

运用固定网格结点虚流量法及排水子结构技术，对江口拱坝坝基的防渗与排水渗控制施、两岸山体边界条件、隔水岩层阻渗及岩体成层产状等因素在影响坝基渗流场特性中的具体作用进行了计算分析。结果表明，排水子结构技术在精细求解复杂坝基渗流场中具有明显的优势，它在理论和算法上严密，完全能仿真模拟各个排水孔的几何尺寸及排水降压的真实水力行为，不仅能明显地提高计算效率，还能使渗流场的精度大大提高。     

自适应回声对消的初期迭代统计学模型及改进算法

为减少滤波器长度,提出自适应滤波算法初期迭代统计学模型及改进的回声消除算法。提出的统计学模型分析了自适应算法迭代初期滤波器各系数的均值和方差。基于该模型提出的改进算法,先检测回声路径峰值,进而确定回声路径延时,然后以延时为中心,用一个短的滤波器辨识原回声路径活跃系数部分。用实际回声路径进行仿真,理论和实验结果均表明,新算法在迭代的前75～100步已可准确检测回声路径峰值并确定延时;而减少滤波器长度,可大幅提高自适应算法收敛速度并降低算法计算复杂度。     

An effective hybrid approach of desirability,fuzzy logic,ANFIS and LAPO algorithm for optimizing compliant mechanism

This paper proposes an efficient hybrid approach for solving multi-objective optimization design of a compliant mechanism. The approach is developed by integrating desirability function approach, fuzzy logic system, adaptive neuro-fuzzy inference system, and Lightning attachment procedure optimization. Box–Behnken design is used to form a numerically experimental matrix. First, a refinement of design variables is conducted through analysis of variance and Taguchi approach in terms of considerably eliminating space of design variables and computation efforts. Next, desirability of two objective functions is computed and transferred into the fuzzy logic system. The output of fuzzy logic system is regarded as single combined objective function. Subsequently, a modeling for fuzzy output is developed via adaptive neuro-fuzzy inference system. Then, LAPO algorithm is adopted for solving the optimization problem. By investigating three different numerical examples, performance of the proposed approach is validated. Numerical results revealed that the proposed approach has a computational accuracy better than that of Taguchi-based fuzzy logic reasoning. Finally, case study 1 is chosen as an optimal solution for the mechanism. Furthermore, the effectiveness of proposed approach is greater than that of the Jaya algorithm and TLBO algorithm through Wilcoxon signed rank test and Friedman test. The proposed approach can be used for related engineering fields.