Data security and privacy protection have become the focus of cybersecurity protection in many countries.The utilization of confidential computing technology can significantly enhance data security.However,there are a...Data security and privacy protection have become the focus of cybersecurity protection in many countries.The utilization of confidential computing technology can significantly enhance data security.However,there are a variety of confidential computing technology routes,with significant differences in the principles and interfaces of implementation.There is an urgent need to develop relevant standards and specifications and guide the design,development,deployment and application of confidential computing related products.This paper introduces the development progress of the national standard project“Information security techniques—General framework for the confidential computing”and its pilot application scenarios across various industries.Additionally,it proposes suggestions on modifying and improving the standard to promote the healthy development of the confidential computing industry ecosystem.展开更多
融合异构信息进行专利交易推荐可以促进交易,但存在因忽略专利属性而影响推荐结果的问题。本研究提出基于属性异构网络(attribute heterogeneous network,AHN)表示学习的专利交易推荐模型(patent transaction recommendation based on A...融合异构信息进行专利交易推荐可以促进交易,但存在因忽略专利属性而影响推荐结果的问题。本研究提出基于属性异构网络(attribute heterogeneous network,AHN)表示学习的专利交易推荐模型(patent transaction recommendation based on AHN representation learning,AHNRL-PTR)。首先筛选专利和组织中影响专利交易的属性;其次构建专利交易AHN,然后在AHN中引入网络表示学习,并基于多维高斯分布解决节点表示的不确定性,基于KL散度(Kullback-Leibler divergence)解决节点间距离非对称性。最后,以粤港澳大湾区有效发明授权专利数据进行实证研究,得出结论:第一,相比于metapath2vec、TADW(text-associated DeepWalk)和AHNRL-PTR模型的两个变体方法,AHNRL-PTR模型的推荐精度最高,超过86%,说明融合组织及专利属性,并聚焦节点表示的不确定性和非对称性问题的解决,能大幅提高推荐精度;第二,在非准确指标IntraSim和Popularity上,AHNRL-PTR的表现优于metapath2vec和两个变体方法,反映该方法的推荐结果具有一定的多样性,且可以挖掘推荐冷门专利;第三,基于两个非准确指标将组织聚类为六类,分别为中介型、领域骨干型、研究型、族群型、成长型、专业型,体现了推荐结果的可解释性和个性化水平。本研究可为专利交易智能化推荐服务提供决策支持。展开更多
目的筛选肝细胞癌(hepatocellular carcinoma,HCC)相关的甲基化CpG诊断生物标志物。方法下载癌症基因组图谱(the cancer genome atlas,TCGA)中HCC的DNA甲基化和表达数据进行生物信息学分析,获得候选CpG位点。采用焦磷酸测序及qRT-PCR检...目的筛选肝细胞癌(hepatocellular carcinoma,HCC)相关的甲基化CpG诊断生物标志物。方法下载癌症基因组图谱(the cancer genome atlas,TCGA)中HCC的DNA甲基化和表达数据进行生物信息学分析,获得候选CpG位点。采用焦磷酸测序及qRT-PCR检测50例早期HCC组织样本中候选CpG位点的甲基化率及其所在基因的表达量,并验证其诊断效能。在GSE54503、GSE89852和GSE56588数据集中评估候选CpG位点的诊断效能。结果生物信息学分析筛选出5个候选CpG位点(cg12614630、cg19786751、cg06131338、cg23371746和cg25340966),多变量联合诊断的受试者工作特征(receiver operating characteristic curve,ROC)曲线下面积(area under curve,AUC)为0.993。50例早期HCC组织中cg12614630(GPR182)、cg19786751(ACACB)和cg06131338(ACACB)的甲基化率高于癌旁组织以及对应基因的表达水平均低于癌旁组织,且位点甲基化水平与基因表达水平呈负相关(P<0.05)。ROC曲线分析显示,在早期HCC组织以及GSE54503、GSE89852和GSE56588数据集中,3个CpG位点联合诊断的AUC分别为0.903、0.812、0.844和0.934。结论cg12614630、cg19786751和cg06131338 CpG位点可能是HCC潜在的诊断生物标志物,联合检测这3个CpG位点具有良好的诊断效能。展开更多
文摘Data security and privacy protection have become the focus of cybersecurity protection in many countries.The utilization of confidential computing technology can significantly enhance data security.However,there are a variety of confidential computing technology routes,with significant differences in the principles and interfaces of implementation.There is an urgent need to develop relevant standards and specifications and guide the design,development,deployment and application of confidential computing related products.This paper introduces the development progress of the national standard project“Information security techniques—General framework for the confidential computing”and its pilot application scenarios across various industries.Additionally,it proposes suggestions on modifying and improving the standard to promote the healthy development of the confidential computing industry ecosystem.
