耦合液化天然气压力能的CCHP系统构建及优化

提出了一种耦合液化天然气压力能的新型冷-热-电联供(CCHP,combined cooling,heating and power)系统.以西安某工业园为研究对象,采用单纯形算法,以经济性最优为目标函数对系统的运行参数进行了优化,分析了电上网政策对设备出力和系统性能的影响,并以能效、火用效和单位产能CO₂排放量作为评价指标,对该系统进行了综合评价.结果表明,与常规CCHP系统相比,该新型系统的年费用和单位产能CO₂排放量可分别减少2.9×10⁶元和29.82g/(kW·h),一次能源利用率和火用效率可分别提高4.05%和0.44%.     

空气力及空气力矩对汽车操纵稳定性的影响

以 CA770轿车为研究对象 ,从汽车结构角度考虑空气力和空气力矩对汽车回转时的影响 ,对汽车稳态回转时的主要参数进行计算 ,在考虑空气动力特性的情况下 ,分析影响操纵稳定性的重要因素 ,并建立汽车稳态转弯过程的数学模型。研究结果表明 ,随着车速的不断提高 ,空气力和空气力矩对车辆回转时操纵稳定性的影响相应增大 ,从而得出了主要参数的变化趋势。     

应用形态标记对籽瓜品种(系)的聚类分析

对籽用西瓜的８个品种（系）西瓜种内的其它４个西瓜品种（系）选取１４项形态标记，采用ＵＰＧＭＡ法进行聚类分析，其中Ｑ型聚类的结果分别对应用于西瓜种的不同亚种，变种，与前人报道的基本相符；Ｒ型聚类分析表明了所选形态标记的独立性和正确性，从而验Ｑ型聚类分析的准确性。     

低强度 He-Ne 激光血管内照射疗法及其机理分析

论述了低强度Ｈｅ－Ｎｅ激光血管内照射疗法和它所产生的生物效应，并着重从血液对激光的吸收、激光的电磁场作用和经络传导理论三个方面对低强度Ｈｅ－Ｎｅ激光血管内照射疗法的机理进行了分析，为这一疗法在临床上的应用提供了参考。     

沥青基C/C复合材料的致密规律

对采用液相浸渍 -碳化工艺、在不同碳化压力条件下 (0 .1MPa、40MPa、80MPa和 10 0MPa)制备的 2D沥青基C/C复合材料的致密规律进行了研究 ,发现制件密度与浸渍 -碳化工艺循环次数联系 ,并提出了复合材料密度变化规律的数学表达式 ,该表达式可以用来对复合材料制件的密度进行预测 ,并可为C/C复合材料制备试验方案的可行性分析与制订提供理论依据     

The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla

The analysis of the first plant genomes provided unexpected evidence for genome duplication events in species that had previously been considered as true diploids on the basis of their genetics. These polyploidization events may have had important consequences in plant evolution, in particular for species radiation and adaptation and for the modulation of functional capacities. Here we report a high-quality draft of the genome sequence of grapevine (Vitis vinifera) obtained from a highly homozygous genotype. The draft sequence of the grapevine genome is the fourth one produced so far for flowering plants, the second for a woody species and the first for a fruit crop (cultivated for both fruit and beverage). Grapevine was selected because of its important place in the cultural heritage of humanity beginning during the Neolithic period. Several large expansions of gene families with roles in aromatic features are observed. The grapevine genome has not undergone recent genome duplication, thus enabling the discovery of ancestral traits and features of the genetic organization of flowering plants. This analysis reveals the contribution of three ancestral genomes to the grapevine haploid content. This ancestral arrangement is common to many dicotyledonous plants but is absent from the genome of rice, which is a monocotyledon. Furthermore, we explain the chronology of previously described whole-genome duplication events in the evolution of flowering plants.     

小型四旋翼无人直升机自适应优化控制

摘要： 针对小型四旋翼无人直升机姿态稳定及位移跟踪控制问题,提出了一种新的控制方法.根据牛顿 欧拉方程及刚体理论建立了小型四旋翼直升机的动力学模型,并利用二次拟合实验建立了旋翼升力和输入控制信号之间的关系模型.将自适应优化 (Adaptive Control Optimization,ACO)控制方法运用于小型四旋翼直升机控制系统中,实现了小型四旋翼直升机的姿态稳定及位移跟踪控制.实际飞行实验表明,自适应优化控制方法在小型四旋翼直升机姿态及位移控制中相对于传统的自适应控制方法,具有很好的实时性和鲁棒性.     

Recursive Algorithm Based Reliability Analysis of Multiphase Satellite Systems with Propagated Failures

Modern satellite systems are generally designed to fulfill multiphase-missions. Component /subsystem redundancies are commonly used to achieve high reliability and long life of modern satellite systems. These characteristics have leaded to a critical issue of reliability analysis of satellites that is how to deal with the reliability analysis with multiphase-missions and propagated failures of redundant components. Traditional methods based on the binary decision diagram( BDD) can hardly cope with these issues efficiently. Accordingly, a recursive algorithm method was introduced to facilitate the reliability analysis of satellites. This method was specified for the analysis of static fault tree and it was implemented by generating combination of component failures and carrying out a backward recursive algorithm. The effectiveness of the proposed method was demonstrated through the reliability analysis of a multiphase satellite system with propagated failures.The major advantage of the proposed method is that it does not need composition of BDD and its computational process is automated.     

癌症研究中RPPA数据的统计分析

采用癌症基因图谱计划的蛋白表达数据,即反相蛋白阵列技术(Reverse Phase Protein Arrays,RPPAs)数据进行统计分析,来挖掘蛋白表达数据所隐藏的癌症的相关信息,提高临床诊断的效率和降低检验的成本。通过3组数据的热点图探测到每组数据的网络结构以及样本中不同基因的表达水平;通过主成分分析,得到在3种癌症中蛋白表达水平起重要作用的5种基因,最后以这5种基因的蛋白表达水平为指标建立了3种癌症的判别模型,并计算误判率的回代估计和交叉验证法估计。得到以下结论:3种癌症形成各自的蛋白表达水平相互关系网络结构,3种癌症有共同蛋白表达水平起重要作用的5种基因,3种癌症的判别模型是可靠的。