基于改进叶素动量理论的水平轴风电机组气动性能计算

综合考虑到风剪切、塔影效应、三维旋转效应的影响,本文对传统的叶素动量理论（bladeelementmomentum,BEM）进行改进,建立风电机组气动性能计算模型,基于该模型编制计算程序,以商用1．5MW风电机组为计算实例,计算出其在不同的风速、转速和桨距角配置下的轴向和切向气动荷载分布,以及推力、功率和风能利用系数,与传统BEM模型及风电设计分析软件FOCUS5计算值对比,验证了该模型的正确性和优越性。     

Rapid Repair of Earthquake Damaged RC Interior Beam-wide Column Joints and Beam-wall Joints Using FRP Composites

This paper studies the seismic performance of FRP-strengthened RC interior non-seismically detailed beam-wide columns and beam-wall joints after limited seismic damage.Four eccentric and concentric beam-wide column joints and two beam-wall joints,initially damaged in a previous study,were repaired and tested under constant axial loads(0.1fc′Ag and 0.35fc′Ag) and lateral cyclic loading.The rapid repair technique developed,aimed to restore the original strength and to provide minimum drift capacity.The repair...     

COMPARISON OF TRANSESTERIFIED PALM STEARIN/SUNFLOWER OIL BLENDS CATALYZED BY PSEUDOMONAS AND MUCOR JAVANICUS LIPASE

Palm stearin and sunflower oil mixtures in three different ratio of 3:7, 5:5 and 7:3 (w/w) were subjected to transesterification catalyzed by immobilized lipases from Pseudomonas and Mucor javanicus in a solvent-free system. The ability of these lipases to alter the physical properties of the fat blends was studied. Slip melting point (SMP), differential scanning calorimetry and X-ray diffraction analyses were used to evaluate the physical properties of the transesterified blends. The percentage of free fatty acids liberated was also determined. Results indicated that the Pseudomonas lipase was catalytically more active than Mucor javanicus lipase as shown by marked changes in the triacylglycerol profile and fatty acids released. Pseudomonas lipase-catalyzed mixtures also showed a bigger drop in SMP and successfully changed the polymorphic form from the dominant β crystal form in control blends to β'crystal form in the transesterified mixtures.     

春之路

这个纪念方案拟建一条道路,以表达对2008年5·12四川大地震遇难者的沉痛哀悼.这条路毗邻四川省的某一河边,那里有一大片可循环利用的建筑废墟地,零星分布着小麦田.独特的场所体验由地下和地上两个项目组成.     

Modeling supply chain operations as multi-level programming problems and their parametric programming based computation methodology

This paper proposes a modeling methodology for supply chain operations with a focus on the relationships of supply chain entities. Supply chain operation problems are mathematically formulated into a multilevel programming problem. A multiparametric programming-based computation methodology is proposed to compute the solution of the problems. Numerical examples are presented to illustrate the proposed modeling and computational methodology with some remarks.     

Analysis of coatings which inhibit epoxy bleeding in electronic packaging

The bleeding of epoxy resin around surfaces, undergoing bonding in electronic packaging assembly, has for long caused sporadic yield-loss. This loss is more severe in advanced and dense packages. Previously it has been supposed that the loss results from surface contaminants which are reduced by vacuum bakeout. In fact, that procedure generates coatings of hydrocarbons as we show by surface analysis. The coatings very strongly affect the wettabilities and measured surface energies of substrates. In particular, the comparatively low surface energy of hydrocarbon films on gold surfaces shows how the surfaces can be engineered, with coatings of “appropriate cleanliness”, to systematically inhibit epoxy bleeding. This revised version was published online in July 2006 with corrections to the Cover Date.     

Vapor Pressure of Allyl Isothiocyanate and Its Transport in PVDC/PVC Copolymer Packaging Film

Equilibrium vapor pressures of allyl isothiocyanate (AIT) above pure AIT and AIT/canola oil mixtures from 15 to 45°C were estimated from AIT vapor densities using gas chromatography. Canola oil was an effective diluent for depressing AIT vapor pressure. Permeation of AIT in a PVDC/PVC copolymer film was measured using the dynamic quasi-isostatic method, and kinetics of AIT vapor sorption in the polymer were studied gravimetrically. Experiments were carried out at 25, 35 and 45°C with vapor pressures from 50 to 800 Pa. At fixed vapor activity, diffusion and permeability coefficients increased with temperature, but a decrease was observed for solubility coefficient. An empirical equation was used to describe the sorption kinetics.     

万朵红花怒放四川

花是爱的礼物,也是纪念、抒发对死者悲伤的情感. 2008年5月12日北京时间14:28时,四川汶川发生8.0级大地震,造成至少500万人无家可归.     

A Study on the Prediction of Cancer Using Whole-Genome Data and Deep Learning

The number of patients diagnosed with cancer continues to increasingly rise, and has nearly doubled in 20 years. Therefore, predicting cancer occurrence has a significant impact on reducing medical costs, and preventing cancer early can increase survival rates. In the data preprocessing step, since individual genome data are used as input data, they are classified as individual genome data. Subsequently, data embedding is performed in character units, so that it can be used in deep learning. In the deep learning network schema, using preprocessed data, a character-based deep learning network learns the correlation between individual feature data and predicts cancer occurrence. To evaluate the objective reliability of the method proposed in this study, various networks published in other studies were compared and evaluated using the TCGA dataset. As a result of comparing various networks published in other studies using the same data, excellent results were obtained in terms of accuracy, sensitivity, and specificity. Thus, the superiority of the effectiveness of deep learning networks in predicting cancer occurrence using individual whole-genome data was demonstrated. From the results of the confusion matrix, the validity of the model for predicting the cancer using an individual’s whole-genome data and the deep learning proposed in this study was proven. In addition, the AUC, which is the area under the ROC curve, which judges the efficiency of diagnosis as a performance evaluation index of the model, was found to be 90% or more, good classification results were derived. The objectives of this study were to use individual genome data for 12 cancers as input data to analyze the whole genome pattern, and to not separately use reference genome sequence data of normal individuals. In addition, several mutation types, including SNV, DEL, and INS, were applied.     

An MCFC operation optimization strategy based on PID auto-tuning control

Molten Carbonate Fuel Cell (MCFC) has been emerging as a promising renewable power system. It is still challenging to operate the MCFC to meet its varying demands because of its nonlinearity and complex dynamics. This paper proposes a novel MCFC operation framework based on PID auto-tuning control. A case study is presented to illustrate the applicability of the strategy with some comments.