SSIG: Single-Sample Information Gain Mo del for Integrating Multi-Omics Data to Identify Cancer Subtypes

Different living environments of cancer samples lead to different molecular mechanisms of cancer development, which in turn leads to different cancer subtypes. How to identify cancer subtypes is a key issue for the realization of precision medicine. With the development of high-throughput technologies, multi-omics data which can better understand different causes of cancer have emerged. However, the current methods of analyzing cancer subtypes using multi-omics data is mostly derived from population cancer sample data and ignores the differences between different cancer samples. Therefore, the joint analysis of multi-omics based on a single sample may reveal more information about the differences between individual cancers. A strategy for identifying cancer subtypes is proposed based on Single-sample information gain (SSIG) which construct sample feature matrix by considering the heterogeneity of sample. Applying this strategy to current popular subtype identification methods, cancer subtypes can be identified more accurately and the mechanism of cancer can be found from the perspective of a single sample. By comparing different methods in different clustering measure, and using survival analysis, it is shown that SSIG is more suitable for cancer subtype identification than the original multi-omics data, and it is easier to mine the cancer subtype classification mechanism hidden behind the data.     

基于多代理的微电网需求响应机制研究

为了解决微电网电能产消和就近高效消纳的问题,提出了一种多代理微电网交易模型,实现微电网多层面运营主体的利益共赢及资源统筹.在此基础之上,考虑到微电网中负荷不确定性的问题,设计了需求响应机制并引入奖惩制度,既激励用户积极参与响应又避免用户逐利行为,指导用户合理用电.算例分析表明,本文所提机制能有效提高微电网的经济效益和环...     

多层复合PVC胶粘膜的性能改进

针对普通PVC胶粘膜在使用过程中存在的问题,开发了无残胶、不脱漆、耐候性能和阻燃性能优良的多层复合PVC胶粘膜.     

纳米NiO掺杂Carbores'P对Al2O3-C耐火材料力学性能的影响

为提高低碳铝碳耐火材料的力学性能,以≤1 mm的棕刚玉、Si粉和Carbores’P为原料,外加纳米NiO为催化剂,制备Al2O3-C基质试样,利用XRD、SEM、激光拉曼光谱研究纳米NiO对Carbores’P炭化产物的影响。以棕刚玉(粒度为5~3、3-1、≤1 mm)、电熔白刚玉粉、Si粉、鳞片石墨、Carbores’P、纳米NiO为原料制备低碳Al2O3-C试样,研究纳米NiO掺杂Carbore’P对试样力学性能的影响。结果表明:1400℃埋碳热处理后,添加纳米NiO能提高基质的石墨化度,促进碳纳米管和SiC晶须的生成;正是由于它们的生成,提高了Al2O3-C试样的致密度、常温强度和断裂前的位移量,使试样韧性增强。     

(Na2O+K2O)对Ca-Ba-Mg-Al-B-Si-O玻璃/Al2O3材料性能的影响

实验以Ca-Ba-Mg-Al-B-Si-O玻璃和Al_2O_3粉料为原料,设计玻璃中(Na_2O+K_2O)含量分别为0、2%、4%、8%的优化玻璃组成,800～950℃低温烧结得到LTCC材料。研究结果表明:随着(Na_2O+K_2O)含量升高,Ca-Ba-Mg-Al-B-Si-O系玻璃/Al_2O_3烧结体的体积密度与介电常数逐渐增加,烧结体气孔率随之减小,介电损耗出现先减小后增加的趋势。添加2%(Na_2O+K_2O)的Ca-Ba-Mg-Al-B-Si-O玻璃/Al_2O_3材料,在875℃烧结试样显示出优异性能。     

Ca-Ba-Mg-Al-B-Si-O玻璃/Al2O3系LED基板材料的工艺优化与性能研究

实验以玻璃与Al2O3为主要原料流延成型生瓷带,通过优化试样的压制工艺,800～950℃范围内烧结得到Ca-Ba-Mg-Al-B-Si-O玻璃/Al2O3材料。研究结果表明,随着Ca-Ba-Mg-Al-B-Si-O玻璃/Al2O3生坯压制压力变大或保压时间增加,玻璃/Al2O3材料的生坯及烧结试样的密度增加,烧成收缩率减小。850℃烧成试样结构致密,钙离子、铝离子、硅离子与氧离子在高温下聚集,并发生了物理化学反应,生成钙长石晶体,进一步促进了烧成试样的致密化。Ca-Ba-Mg-Al-B-Si-O玻璃/Al2O3材料在压力20 MPa,保压时间10 min下成型生坯性能良好,烧结体物理性能优良,适合用于LED基板材料。     

碳达峰路径与智力城镇化

研究显示碳达峰与城镇化成熟期时间上高度重合,碳达峰国家达峰时的城镇化率均值在74％左右,因此如何把握城镇化与碳达峰的精准关系极为重要.基于全球198个国家和地区1960-2018年社会经济及碳排数据,引入机器学习算法,探寻世界国家碳达峰路径与智力型、体力型城镇化路径分化的内在关系,找出智力型国家碳达峰的关键衡量指标,并进一步分析智力型国家的创新驱动因子对其达峰路径的影响机制,以此为中国智慧创新的碳达峰道路提供借鉴.提出碳达峰路径的五种橄榄曲线,并指出中国未来的碳达峰道路必须由双层智慧进行控制,即达峰曲线的智慧设计,以及曲线内部造成不同走向的智力关键要素含量的设计.在国家2030年碳达峰总目标下,需结合地方差异性设计各个城市和区域的特殊曲线,制定各自的智慧策略.     

Torque and bending moment acting on a flexible shaft agitated by disk turbines in a gas–liquid stirred vessel

The torque and bending moment acting on a flexible overhung shaft in a gas–liquid stirred vessel agitated by a Rushton turbine and three different curved-blade disk turbines(half circular blades disk turbine, half elliptical blades disk turbine, and parabolic blades disk turbine) were experimentally measured by a customized moment sensor. The results show that the amplitude distribution of torque can be fitted by a symmetric bimodal distribution for disk turbines, and generally the distribution is more dispersive as the blade curvature or the gas flow rate increases. The amplitude distribution of shaft bending moment can be fitted by an asymmetric Weibull distribution for disk turbines. The relative shaft bending moment manifests a "rising-falling-rising" trend over the gas flow number, which is a corporate contribution of the unstable gas–liquid flow around the impeller, the gas cavities behind the blades, and the direct impact of gas on the impeller. And the "falling" stage is greater and lasts wider over the gas flow number for Rushton turbine than for the curved-blade disk turbines.     

Dynamic viscoelasticity and phenomenological model of electrorheological elastomers

Electrorheological elastomers (EREs) present a tunable viscoelasticity with the application of an electric field. For their application, it is necessary to investigate the viscoelasticity of the EREs under various loading conditions and establish an accurate constitutive model. In this study, anisotropic silicone‐rubber‐based EREs with 30 vol % TiO₂–urea core–shell particles were prepared under an orientation electric field. We evaluated their viscoelasticities by testing their shear stress–shear strain hysteresis loops under various electric fields, frequencies, and strain amplitudes. On the basis of the experimental data, a nonlinear, revised Bouc–Wen phenomenological model was established, and the parameters in the model were identified. The results indicate that the revised model could accurately describe the viscoelastic properties of the EREs within a low frequency. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017 , 134, 45407.     

基于集成NSET和模糊软聚类的风电机组齿轮箱状态监测

风电机组齿轮箱的故障频率和维修成本较高,有必要对其运行状态进行实时监测。非线性状态估计(NSET)算法有着对记忆矩阵依赖大、无法有效利用数据资源改善精度、实时性差等不足。为此,提出一种基于模糊软聚类和集成NSET的状态监测方法:使用模糊软聚类将历史数据分为边界有重叠的不同类别,实现工况的软划分并构造多个不同工况的NSET模型作为个体学习器;以参数回归方法作为结合器,可在不影响实时性的同时,使用大量数据训练参数以改善精度。用某2 MW风电机组的齿轮箱故障数据进行验证,结果表明,相比常规方法,提出方法的精度和实时性均更优;通过预测残差均值和基于残差构造的健康指数,能够灵敏、准确的反映齿轮箱的早期故障及其发展趋势。