Development of a prognostic signature for esophageal cancer based on a novel 7-DNA damage repair genes signature

Esophageal cancer (EC) was an aggressive malignant neoplasm characterized by high morbidity and poor prognosis. Identifying the changes in DNA damage repair genes helps to better understand the mechanisms of carcinoma progression. In this study, by comparing EC samples and normal samples, we found a total of 132 DDR expression with a significant difference. Moreover, we revealed higher expression of POLN, PALB2, ATM, PER1, TOP3B and lower expression of HMGB1, UBE2B were correlated to longer OS in EC. In addition, a prognostic risk score based on 7 DDR gene expression (POLN, HMGB1, TOP3B, PER1, UBE2B, ATM, PALB2) was constructed for the prognosis of EC. Meanwhile, EC cancer samples were divided into 3 subtypes based on 132 DDR genes expressions. Clinical profile analysis showed cluster C1 and C2 showed a similar frequency of T2, which was remarked higher than that in cluster 3. Moreover, we found the immune cell inflation levels were significantly changed in different subtypes of EC. The infiltration levels of T cell CD8+, B cell and NK cells were greatly higher in cluster 2 than that in cluster 1 and cluster 3. The results showed T cell CD4+ infiltration levels were dramatically higher in cluster 1 than that in cluster 2 and cluster 3. Finally, we perform bioinformatics analysis of DEGs among 3 subtypes of EC and found DDR genes may be related to multiple signaling, such as Base excision repair, Cell cycle, Hedgehog signaling pathway, and Glycolysis/Gluconeogenesis. These results showed DDR genes may serve as new target for the prognosis of EC and prediction of the potential response of immune therapy in EC.     

纪念空间与城市形态建构——百色城市纪念空间形态初探

从形态学的角度,城市纪念空间可理解为由纪念建筑及其所支配的城市公共空间共同组成的城市形态,其具有深刻的精神内涵,在城市空间的建构中发挥着重要的作用.百色作为我国著名的"革命壮乡,红色之都",拥有大量的革命遗迹和百色起义纪念碑等著名的纪念性建筑.在百色城市形态的构建中,应以纪念性空间为基础,通过轴线、对景等一系列空间手段突出纪念空间的标志性,强化纪念空间的形象,促进纪念空间与城市原有肌理的融合.     

Binary classification of imbalanced datasets using conformal prediction

Aggregated Conformal Prediction is used as an effective alternative to other, more complicated and/or ambiguous methods involving various balancing measures when modelling severely imbalanced datasets. Additional explicit balancing measures other than those already apart of the Conformal Prediction framework are shown not to be required. The Aggregated Conformal Prediction procedure appears to be a promising approach for severely imbalanced datasets in order to retrieve a large majority of active minority class compounds while avoiding information loss or distortion.     

基于标签的矩阵型Gr?bner基算法研究

目前基于标签的Gr?bner基算法大多是Buchberger型的,涉及矩阵型算法的文献往往是为了进行复杂度分析,而不考虑实际的效率。该文从实际应用出发,给出矩阵型Gao-Vol ny-Wan g(GVW)算法的一个实例,提出算法层次的优化设计方法。同时,该文还给出一个高效的约化准则。通过实验,该文比较了算法可用的各项准则及策略。实验结果表明,该文的矩阵型GVW实例在准则和策略的选取上是最优的。并且,矩阵型GVW在某些多项式系统(例如,Cyclic系列和Katsura系列多项式系统)下比Buchberger型GVW要快2~6倍。     

A signature protein-based method to distinguish Mediterranean water buffalo and foreign breed milk

A novel genetic variant at the α_s1-casein locus of water buffalo (WB), 8-residue shorter than its wild-type has been found and sequenced. The internal deletion of the peptide E³⁵KVNELsT⁴² was confirmed by the isolation of the junction peptide. The 8-residue deletion mutant has a molecular weight that is 919 Da less than that of the wild-type. The novel isoform with a unique f35-42 deletion could be the result of the skipping of exon 6, generating an exon 6-deleted variant of α_s1-casein. The wild-type and its shortened α_s1-casein forms were found to co-exist in many individual milk samples. In contrast, the 8-residue, internally deleted α_s1-casein variant did not occur in water buffaloes of the Mediterranean breed reared in Italy. Wild-type α_s1-casein has 6 to 8 phosphate groups (P) while the internally deleted form 6 and 7P per molecule.     

Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model

In this paper, a hybrid soft computing model comprising the Fuzzy Min-Max (FMM) neural network and the Classification and Regression Tree (CART) for motor fault detection and diagnosis is described. Specifically, the hybrid model, known as FMM-CART, is used to detect and classify fault conditions of induction motors in both offline and online environments. A series of experiments is conducted, whereby the Motor Current Signature Analysis (MCSA) method is applied to form a database containing stator current signatures under different motor conditions. The signal harmonics from the power spectral density (PSD) are extracted, and used as the discriminative input features for fault classification with FMM-CART. Three main induction motor conditions, viz. broken rotor bars, stator winding faults, and unbalanced supply, are used to evaluate the effectiveness of FMM-CART. The results indicate that FMM-CART is able to detect motor faults in the early stage, in order to avoid further damage to the induction motor as well as the overall machine or system that uses the motor in its operations.     

基于Lattice的验证方环签名改进算法研究

为了解决现有的数字签名机制在发放软件著作、专利许可证以及项目工程招投标等应用中出现的各种隐私安全问题,以随机预言模型下的相关签名方案为理论基础,提出了一种基于格结构（Lattice）的强约束验证方环签名改进算法,即L_SRS算法。该算法在标准模型下给出了详实的安全性分析,依据标准的小整数解困难问题,L_SRS算法增加了一种强约束安全机制,能够有效抵抗适应性选择消息攻击,对其具有强不可伪造性。通过安全性与性能分析,L_SRS算法具有应用高安全性、签名计算高效率性等特点。     

一个安全无证书的盲签名方案

提出了一个安全无证书的盲签名方案。新方案预运算e(P,P)=g作为系统公开参数,无需使用特殊的MapToPoint哈希函数,提高了方案的计算效率;同时方案中密钥生成中心（KGC）与用户间不再需要可信的安全通道,更加适合实际应用。此外新方案采用了无证书公钥密码体制,解决了基于证书签名方案的证书管理问题和基于身份签名方案的密钥托管问题。在q-SDH和CDH困难假设下新方案是不可伪造的。     

新的传感器网络假冒攻击源检测方案

针对传感器网络假冒攻击,提出了一种新的假冒攻击源检测方案。新方案利用基于身份的签名技术,结合节点报警规则,构造了基于邻居节点相互认证的单个试图假冒攻击源测定算法,以此为基础,扩充为针对局部区域内的多个试图假冒攻击源测定算法。新方案也提出了成功假冒攻击源测定算法,其中采用了汇聚节点监控排查恶意区域、普通节点认证转发报警消息机制。新方案适用于假冒攻击状况复杂、网络安全性要求较高的环境。仿真实验证实了新方案在成功检测方面的有效性。     

拥有DSA数字签名的零知识证明

提出一种拥有DSA数字签名的零知识证明方案。签名者不向签名接收方显式提供信息的DSA数字签名,而是给出一个拥有该DSA数字签名的零知识证明。方案可以限制数字签名的任意传播,适用于电子产品的版权保护。