Somatic mutations in PTPN11 in juvenile myelomonocytic leukemia,myelodysplastic syndromes and acute myeloid leukemia

We report here that individuals with Noonan syndrome and juvenile myelomonocytic leukemia (JMML) have germline mutations in PTPN11 and that somatic mutations in PTPN11 account for 34% of non-syndromic JMML. Furthermore, we found mutations in PTPN11 in a small percentage of individuals with myelodysplastic syndrome (MDS) and de novo acute myeloid leukemia (AML). Functional analyses documented that the two most common mutations in PTPN11 associated with JMML caused a gain of function.     

不同惯性系洛仑兹力密度与电磁场的变换规律

本文根据不同惯系洛仑兹力密度的变换规律,导出了不同惯性系电磁场的变换规律。     

大学生中三大就业期望与就业现实的比较分析——以厦门大学本科毕业生为个案

调查表明,厦门大学本科毕业生在就业的行业期望与区域期望上,与就业现实的差距较小,但仍存在期望值偏高的现象;在就业的工资期望上,与现实存在较大落差,相当一部分毕业无法实现自己的愿望.为了促进毕业生更有效地实现就业,应该协调区域经济发展、加强就业指导和调整就业心态.     

A research on high-temperature permittivity and loss tangent of low-loss dielectric by resonant-cavity technique

Resonant-cavity technique was introduced to measure the permittivity and loss tangent of low-loss dielectrics. The dielectric properties at 9-10 GHz are measured accurately at the temperature up to 800 ℃ by the resonant cavity technique. The only electrical parameters that need to be measured are quality factors （Q） and resonant length （L） of resonant cavity loaded and unloaded with dielectric sample. Moreover, the error caused by thermal expansion effect was resolved by error analysis and experimental calibration.     

快速收敛仿射投影算法在稀疏水声信道的应用

本文提出了一种新的快速收敛比例仿射投影算法,并将算法应用于稀疏多径水声信道均衡.该算法首先在改进比例仿射投影算法(improved proportional affine projection algorithm,IPAPA)的基础上引入变步长算法,提高算法的收敛速度;并在此新算法的基础上通过引入判决反馈结构,进一步改...     

基于自聚焦BP的圆周SAR运动补偿方法简

圆周SAR由于平台运动轨迹的复杂性,导致沿航迹向和切航迹向回波信号存在严重耦合,因此成像处理运动补偿问题尤为复杂。本文针对圆周SAR成像运动补偿问题,首先分析运动误差对成像质量的影响;然后利用自聚焦BP算法对运动误差进行补偿,并与传统BP算法性能进行对比,验证了自聚焦BP算法对圆周SAR运动补偿的有效性;最后利用自回归思想将自聚焦BP算法进行改进并扩展到圆周SAR三维成像中,通过仿真实验,对比传统BP算法结果,验证了该算法在三维成像中的优势。     

概率相关图推理技术在双向适应机制中的应用研究

针对适应性学习系统应用中“双向适应”的需求,提出了具有双向反馈式机制的个性化学习系统模型.通过构建数字化学习资源数据库作为系统的核心基础,概率相关图技术可作为知识表示的有效方法支撑资源库构建,提供智能推理技术提升系统智能推荐的有效性.设计和开发了双向适应性个性化学习系统,进行了实证研究,并提出了下一步工作方向.     

Influence of allele frequency on predicting animal phenotype using back-propagation artificial neural networks

To overcome the obstacle of the fascinating relation in predicting animal phenotype value, we have developed a neural network model to detect the complex non-linear relationships between the genotypes and phenotypes and the possible interactions that cannot be expressed with equations. In this paper, back-propagation neural network is used to discuss the influences of different allele frequencies on estimating the polygenic phenotype value. To ensure the precision of prediction, normalization was needed to train the prediction model. The results show that back-propagation artificial neural networks can be used to predict the phenotype value and perform very well in allele frequency from 0.2 to 0.8, when the allele frequency is very small (less than 0.2) or big (more than 0.8); however, the prediction model was not reliable and the predicted value should be carefully tested.     

鄱阳湖水位空间差异及其对湿地水文分析的影响

大型湖泊受支流入流及湖底特性、风浪变化等因素的综合影响,其内部不同区域的水位存在空间差异.水利工程设计、湿地水文调控分析中常以单个水文站点的水位代表整个湖泊的水位状况.受五河及长江水量变化规律的综合影响,其枯水水位空间差异较大.在洲滩湿地水文调控分析中,代表水文站的选择尤为重要.目前湿地水文分析中常采用湖口、星子两站作为鄱阳湖的代表站.但站点选择却均缺乏科学的数据分析.本文结合56年来鄱阳湖湖区7个水位站点的监测数据及站点的空间位置信息,分析了湖区各水文站点间的水位差异及水位比降.结果显示棠荫站作为鄱阳湖湿地水文分析的代表站较合适.结合鄱阳湖湖底地形数据探讨了相对于棠荫水位,以湖口或星子水位来模拟鄱阳湖洲滩湿地面积的差异,以及可能产生的潜在影响.     

基于卷积神经网络的石英纤维复合材料损伤缺陷太赫兹智能识别

利用太赫兹时域光谱对石英纤维复合材料(quartz fiber reinforced polymer, QFRP)内部分层缺陷进行检测,通过搭建一维卷积神经网络模型,实现不同位置和不同深度损伤缺陷的准确识别,验证结果准确率在90%以上.根据识别结果构建复合材料的缺陷检测图像与实际太赫兹成像图结果一致,且具有高清晰度和对比度.太赫兹技术结合卷积神经网络能够实现非极性材料的智能识别.