基于KPCA与LSSVM的网络控制系统时延预测方法

针对网络控制系统中随机时延很难精确预测的问题,首次将核主成分分析（kernel principal component analysis, KPCA）与最小二乘支持向量机（least squares support vector machine, LSSVM）结合对随机时延进行预测,KPCA对输入随机时延序列降维,消除重复性与噪声,减少LSSVM的运算量,降维后的时延序列通过LSSVM算法预测时延值。仿真结果表明,基于KPCA与LSSVM的时延预测方法的预测精度高于其他的预测方法。     

Mode of débitage and technical cognition of hominids at the Guanyindong site

Exploring and interpreting the mode of cognition and behavioral patterns of prehistoric hunter-gatherers is always one of the main goals of current Paleolithic research. In the 1940s, French prehistorians proposed the technological method for studying lithic assemblages which opened a brand-new perspective on the prehistoric domain. In the 1960s, French ethnographer and anthropologist Andre Leroi-Gourhan proposed the concept ＂chaine operatoire＂ and established the theory of lithic technological study. After the 1980s, the concept ＂chaine operatoire＂ was substituted for two different but complementary concepts： techno-cognition and techno-economy, which contributed not only to revealing the technical knowledge and know-how applied during lithic production but also to interpreting the technical behavior of prehistoric hunter-gatherers from social and economic viewpoints. The lithic technological study of the Guanyindong site, presented in this paper, was carried out for the first time by applying lithic technological method developed by French prehistorians to the Chinese materials. Our analytical results demonstrated that the debitage system of Guanyindong is quite distinct from the concept Levallois largely used in Europe, Near-East and Africa. The differentiation between these two debitage modes may contribute to exploring and interpreting the relationship in Middle Paleolithic between China and Europe, Near-East and Africa.     

非均匀环境下雷达动目标检测的空时自适应处理

研究一种非均匀环境下地面动目标检测的STAP算法. 该算法将直接数据域内基于正弦曲线幅相估计的检测算法从空域维扩展到空时二维,提高目标回波幅度的估计精度,改善输出信杂噪比,有效地克服了原算法对弱目标检测性能差和虚警率高等缺陷. 仿真结果验证了这种方法的有效性.     

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

The systematic translation of cancer genomic data into knowledge of tumour biology and therapeutic possibilities remains challenging. Such efforts should be greatly aided by robust preclinical model systems that reflect the genomic diversity of human cancers and for which detailed genetic and pharmacological annotation is available. Here we describe the Cancer Cell Line Encyclopedia (CCLE): a compilation of gene expression, chromosomal copy number and massively parallel sequencing data from 947 human cancer cell lines. When coupled with pharmacological profiles for 24 anticancer drugs across 479 of the cell lines, this collection allowed identification of genetic, lineage, and gene-expression-based predictors of drug sensitivity. In addition to known predictors, we found that plasma cell lineage correlated with sensitivity to IGF1 receptor inhibitors; AHR expression was associated with MEK inhibitor efficacy in NRAS-mutant lines; and SLFN11 expression predicted sensitivity to topoisomerase inhibitors. Together, our results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents. The generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of 'personalized' therapeutic regimens.     

Visualizing heavy fermions emerging in a quantum critical Kondo lattice

In solids containing elements with f orbitals, the interaction between f-electron spins and those of itinerant electrons leads to the development of low-energy fermionic excitations with a heavy effective mass. These excitations are fundamental to the appearance of unconventional superconductivity and non-Fermi-liquid behaviour observed in actinide- and lanthanide-based compounds. Here we use spectroscopic mapping with the scanning tunnelling microscope to detect the emergence of heavy excitations with lowering of temperature in a prototypical family of cerium-based heavy-fermion compounds. We demonstrate the sensitivity of the tunnelling process to the composite nature of these heavy quasiparticles, which arises from quantum entanglement of itinerant conduction and f electrons. Scattering and interference of the composite quasiparticles is used to resolve their energy-momentum structure and to extract their mass enhancement, which develops with decreasing temperature. The lifetime of the emergent heavy quasiparticles reveals signatures of enhanced scattering and their spectral lineshape shows evidence of energy-temperature scaling. These findings demonstrate that proximity to a quantum critical point results in critical damping of the emergent heavy excitation of our Kondo lattice system.     

四点弯曲试验条件下页岩的声发射特性

利用PXWAE型声发射系统进行了四点弯曲试验条件下页岩的声发射试验研究,试验中记录了岩样所受的最大弯曲应力、弯曲应变、声发射事件数、声发射能量等多个参数。研究发现,垂直页岩层理施加荷载时,在四点弯曲试验条件下其凯塞效应是存在的,凯塞点可以直接通过应力与累计声发射事件数曲线得出;但受自身水平层理结构及局部破坏的影响,应变在受载过程中会发生松弛现象,不易直接由应变-声发射试验曲线判断出岩石的凯塞点,必须结合其它试验数据以及岩样的最终破坏形态综合判断。弯曲应力状态下岩石的声发射特性研究对于利用声发射技术进行矿区顶板或隔层的稳定性监测具有一定的工程指导意义。     

直升机智能旋翼后缘小翼参数研究

介绍了用于直升机减振的后缘小翼型智能旋翼相关设计参数的研究。建立了后缘小翼型智能旋翼的气弹动力学分析模型。研究了小翼的关键设计参数:小翼展长、小翼弦长、小翼径向位置、小翼重心布置以及前进比等对后缘小翼偏转角度、驱动机构需用功率以及桨毂振动载荷的影响。参数分析结果用于指导模型的设计并为后续的模型试验提供理论依据。     

啤酒厂污泥替代营养盐培养钝顶螺旋藻的研究

啤酒厂废水处理后排出的沉淀池剩余活性污泥~［１］（以下简称啤酒厂污泥）含粗蛋白２０％～３０％,磷、铁、钾等藻类培养主要元素含量丰富,同时还含有不少藻类培养所需的微量元素和辅助生长的有机物质,是培养藻类的良好基质［２］．经试验能 ５０％替代营养盐培养钝顶螺旋藻而保持其收得率基本不变,利用啤酒厂污泥培养螺旋藻既净化环境,又降低藻类养殖成本［３］,是一条有效处理污泥和推广螺旋藻养殖的良好途径．     

广西苏铁一新种

厚柄苏铁,新种．ＣｙｃａｓｃｒａｓｉｐｅｓＣｈａｎｇ,ＺｈｏｎｇｅｔＬｕ叶长２３０～２５０ｃｍ,有羽息片１４０～１５０对．大孢子叶粗大,长１９～２２ｃｍ,上部篦状齿裂,有裂片１５～２２对,顶片宽８～１０ｍｍ,长４～４５ｃｍ,下半部果柄长１０～１１ｃｍ,宽１～１２ｃｍ,极粗壮,胚珠每侧２～３个．新种采自广西隆林,钟业聪８７７８,模式存于中山大学植物标本室