基于结构自适应模糊神经网络的前列腺癌诊断方法

前列腺癌是近年来严重危害男性健康的疾病.利用模糊神经网络方法可以实现前列腺癌诊断,并将诊断模型表示为模糊规则集合.针对模糊神经网络所提取规则解释性差的问题,提出结构自适应模糊神经网络方法,通过改进损失函数,在训练中控制相似隶属度函数的合并,实现模糊神经网络模型结构自适应调整,减少模糊规则数量,在保证诊断准确性情况下,提取出容易理解的可解释性规则.同时该方法在模型的训练过程中引入粒子群优化(PSO)算法进行结构和参数学习,有效减少计算量,提高训练效率.最后,使用临床医学科学数据中心提供的前列腺疾病检查数据进行数值实验,验证了所提出方法在前列腺癌诊断和可解释性规则提取中的有效性.     

Secure Transmission Scheme for Parallel Relay Channels Based on Polar Coding

This paper considers the use of polar codes to enable secure transmission over parallel relay channels.By exploiting the properties of polar codes over parallel channels, a polar encoding algorithm is designed based on Channel State Information(CSI) between the legitimate transmitter(Alice) and the legitimate receiver(Bob).Different from existing secure transmission schemes, the proposed scheme does not require CSI between Alice and the eavesdropper(Eve). The proposed scheme is proven to be reliable and shown to be capable of transmitting information securely under Amplify-and-Forward(AF) relay protocol, thereby providing security against passive and active attackers.     

Loading-Balance Relay-Selective Strategy Based on Stochastic Dynamic Program

A Relay-Assisted(RA) network with relay selection is considered as a type of effective technology to improve the spectrum and energy efficiency of a cellular network. However, loading balance of the assisted relay node becomes an inevitable bottleneck in RA network development because users do not follow uniform distribution. Furthermore, the time-varying channel condition of wireless communication is also a major challenge for the RA network with relay selection. To solve these problems and improve the practicability of the RA network, a Loading Balance-Relay Selective(LBRS) strategy is proposed for the RA network in this paper. The proposed LBRS strategy formulates the relay selection of the RA network under imperfect channel state information assumption as a Multistage Decision(MD) problem. An optimal algorithm is also investigated to solve the proposed MD problem based on stochastic dynamic program. Numerical results show that the performance of the LBRS strategy is better than that of traditional greedy algorithm and the former is effective as an exhaustive search-based method.     

Critical Chords of Convex Bodies of Constant Width

In this paper, we show that when Minkowski measure of asymmetry of convex body K of constant width is bigger than α (n-1), K has at least n+1 critical chords, where \(\alpha (n) = \frac{{n + \sqrt {2n(n + 1)} }}{{n + 2}}\).     

基于低秩矩阵分解的遥感图像薄云去除方法

为了较好地去除遥感图像中的薄云遮挡,还原地表图像,提出了一种利用低秩矩阵分解的遥感图像薄云去除算法。该算法根据薄云图像的低秩特性,将图像进行低秩矩阵分解,得到背景、前景和薄云图像。然后将去除薄云信息后的前景和背景信息相融合,得到地物成分。将该算法与其他传统算法应用在卫星影像数据上,对薄云去除效果运用主客观指标进行比较。实验结果表明,该算法能够克服传统算法中细节丢失以及去除不完全的问题,不仅能够在不同地物场景下对薄云进行去除,而且能够较好地保留地物的细节信息。     

1996-2016年五味子在国产保健食品中的应用与分析

目的 分析五味子21 a间在国产保健食品中作为原料的应用情况,为进一步研发五味子保健食品提供参考.方法 利用回顾性调查方法,抽取国家食品药品监督管理总局(CFDA)网站中1996—2016年已注册的保健食品信息,建立五味子保健食品专题数据库,分析五味子相关保健食品的功能分布、与之配伍的中药种类、频次、功效成分(或标志性成分)、地区分布及年代分布等.结果 1996—2016年期间含五味子的国产保健食品共有351个,涉及功能20种,配方原料数量最多6种,与五味子配伍使用的原料前5位为枸杞子、酸枣仁、人参、葛根、黄芪,功效成分涉及118种,申请地中前5位依次为北京市、广东省、陕西省、吉林省及黑龙江省.结论 含五味子保健食品的开发总量不足,档次较低,接近食品形态的剂型较少,没有形成基于五味子医药文化及民俗文化的品牌优势.     

张力带与髌骨爪置入治疗单纯横行和粉碎性髌骨骨折疗效分析

目的比较张力带和髌骨爪置入治疗单纯横行骨折和粉碎性骨折患者疗效,为临床两种手术方法的选择提供依据.方法对接受治疗的38例髌骨骨折患者进行回顾性分析,其中20例患者采用张力带疗法,18例患者采用髌骨爪疗法,比较不同疗法患者手术时间、术中出血量、并发症发生率、骨折愈合时间、膝关节功能恢复情况.结果张力带固定组患者术中出血量(305.2±36.5)m L,显著高于髌骨爪固定组患者(283.4±24.8)m L(P0.05),张力带固定组粉碎性骨折患者平均手术时间(54.1±9.1)min,显著长于髌骨爪固定组粉碎性骨折患者(52.9±2.8)min(P0.05).两组患者骨折愈合时间无显著性差异(11.9±1.9,12.4±1.8)周,膝关节功能评价平均分髌骨爪固定组患者(78.7±9.3)分,显著优于张力带固定组患者(84.7±9.2)分(P0.05).结论对于一般髌骨横行骨折患者,可采用张力带固定方式,而对于年龄较大、身体素质较差、粉碎性骨折患者,推荐采用髌骨爪固定方式,以减少术后并发症发生,促进膝关节功能恢复.     

黑果腺肋花楸组培繁殖培养基筛选

以黑果腺肋花楸茎尖和嫩叶为外植体,在MS培养基中加入不同种类与用量的生长调节剂,筛选黑果腺肋花楸组织培养繁殖培养基.结果表明:黑果腺肋花楸愈伤组织诱导效果较好的培养基为MS+6-BA 3.0 mg/L+NAA 0.5 mg/L;不定芽诱导效果较好的培养基为MS+6-BA 1.0 mg/L+NAA 0.1 mg/L;不定根诱导效果较好的培养基为1/2 MS+IBA 0.05 mg/L;以泥炭土、松针、砂砾(2∶1∶1)为基质时,组培苗移栽成活率较高(成活率96%).     

Shear-thickening behavior of Fe-ZSM5 zeolite slurry and its removal with alumina/boehmites

A cryogenic scanning electron microscopy (cryo-SEM) technique was used to explore the shear-thickening behavior of Fe-ZSM5 zeolite pastes and to discover its underlying mechanism. Bare Fe-ZSM5 zeolite samples were found to contain agglomerations, which may break the flow of the pastes and cause shear-thickening behaviors. However, the shear-thickening behaviors can be eliminated by the addition of halloysite and various boehmites because of improved particle packing. Furthermore, compared with pure Fe-ZSM5 zeolite samples and its composite samples with halloysite, the samples with boehmite (Pural SB or Disperal) additions exhibited network structures in their cryo-SEM images; these structures could facilitate the storage and release of flow water, smooth paste flow, and avoid shear-thickening. By contrast, another boehmite (Versal 250) formed agglomerations rather than network structures after being added to the Fe-ZSM5 zeolite paste and resulted in shear-thickening behavior. Consequently, the results suggest that these network structures play key roles in eliminating the shear-thickening behavior.     

TTAC-HPMo/SiO_2催化剂的表征及其氧化脱硫性能分析

以十四烷基三甲基氯化铵(TTAC)为模板剂,正硅酸乙酯(TEOS)为硅源,采用溶胶-凝胶法制备TTAC-HPMo/SiO_2催化剂,利用FTIR、XRD、SEM和N_2吸附-脱附等技术对其进行表征,并分析催化剂制备条件和反应条件对模型油氧化脱硫性能的影响。结果表明,在m(HPMo)/m(SiO_2)=15%、焙烧温度为400℃条件下所制TTAC-HPMo/SiO_2催化剂,其孔隙结构发达、氧化脱硫性能最佳;对于10mL以二苯并噻吩(DBT)为目标含硫化合物的模型油(硫含量为400μg/g),当m(TTAC-HPMo/SiO_2)/m(模型油)=0.43%、V(H_2O_2)/V(模型油)=0.2%、反应温度为60℃、反应时间为14min时,所制TTAC-HPMo/SiO_2催化剂对模型油中DBT的脱除率达到100%。