One way to improve practicability of automatic program repair（APR） techniques is to build prediction models which can predict whether an application of a APR technique on a bug is effective or not. Existing predicti...One way to improve practicability of automatic program repair（APR） techniques is to build prediction models which can predict whether an application of a APR technique on a bug is effective or not. Existing prediction models have some limitations. First, the prediction models are built with hand crafted features which usually fail to capture the semantic characteristics of program repair task. Second, the performance of the prediction models is only evaluated on Genprog, a genetic-programming based APR technique. This paper develops prediction models, i.e., random forest prediction models for SPR, another kind of generate-and-validate APR technique, which can distinguish ineffective repair instances from effective repair instances. Rather than handcrafted features, we use features automatically learned by deep belief network（DBN） to train the prediction models. The empirical results show that compared to the baseline models, that is, all effective models, our proposed models can at least improve the F1 by 9% and AUC（area under the receiver operating characteristics curve） by 19%. At the same time, the prediction model using learned features at least outperforms the one using hand-crafted features in terms of F1 by 11%.展开更多
目的探索肠道菌群与血清二胺氧化酶(diamine oxidase,DAO)水平之间的相关性,对DAO高水平(DAO-H)人群和正常人群的肠道菌群特征进行差异性分析。方法在战略支援部队特色医学中心2021年健康体检人群中招募62名成年志愿者,其中DAO-H人群31...目的探索肠道菌群与血清二胺氧化酶(diamine oxidase,DAO)水平之间的相关性,对DAO高水平(DAO-H)人群和正常人群的肠道菌群特征进行差异性分析。方法在战略支援部队特色医学中心2021年健康体检人群中招募62名成年志愿者,其中DAO-H人群31名,正常人群31名,采集粪便样本,通过使用16S rRNA全长基因测序技术,对所有受试者粪便样本进行分析,研究不同DAO水平人群的肠道菌群构成特征。结果DAO-H人群肠道菌群α多样性与正常人群差异无统计学意义,但是菌群结构和功能改变:共生细菌减少,如Phocaeicola、拟杆菌科细菌等;潜在致病菌增加,如肺炎克雷伯菌。DAO-H组的菌群代谢发生变化,菌群鞘脂代谢水平降低,万古霉素类抗生素生物合成(biosynthesis of vancomycin group antibiotics)、叶酸一碳库(one carbon pool by folate)、萜类骨架生物合成(terpenoid backbone biosynthesis)、细胞周期-Caulobacter(cell cycle-Caulobacter)、蛋白质输出(protein export)、碱基切除修复(base excision repair)、氮代谢(nitrogen metabolism)水平较正常组升高。结论血清中DAO-H人群与正常人群比较,存在特有的肠道菌群构成与菌群代谢特征。展开更多
基金Supported by the National Natural Science Foundation of China(61603242)Opening Project of Collaborative Innovation Center for Economics Crime Investigation and Prevention Technology(JXJZXTCX-030)+1 种基金the Scientific Research Fund of Zhaoqing Univeristy(201734)Innovative Guidance Fund of Zhaoqing City(201704030409)
文摘One way to improve practicability of automatic program repair（APR） techniques is to build prediction models which can predict whether an application of a APR technique on a bug is effective or not. Existing prediction models have some limitations. First, the prediction models are built with hand crafted features which usually fail to capture the semantic characteristics of program repair task. Second, the performance of the prediction models is only evaluated on Genprog, a genetic-programming based APR technique. This paper develops prediction models, i.e., random forest prediction models for SPR, another kind of generate-and-validate APR technique, which can distinguish ineffective repair instances from effective repair instances. Rather than handcrafted features, we use features automatically learned by deep belief network（DBN） to train the prediction models. The empirical results show that compared to the baseline models, that is, all effective models, our proposed models can at least improve the F1 by 9% and AUC（area under the receiver operating characteristics curve） by 19%. At the same time, the prediction model using learned features at least outperforms the one using hand-crafted features in terms of F1 by 11%.
文摘目的探索肠道菌群与血清二胺氧化酶(diamine oxidase,DAO)水平之间的相关性,对DAO高水平(DAO-H)人群和正常人群的肠道菌群特征进行差异性分析。方法在战略支援部队特色医学中心2021年健康体检人群中招募62名成年志愿者,其中DAO-H人群31名,正常人群31名,采集粪便样本,通过使用16S rRNA全长基因测序技术,对所有受试者粪便样本进行分析,研究不同DAO水平人群的肠道菌群构成特征。结果DAO-H人群肠道菌群α多样性与正常人群差异无统计学意义,但是菌群结构和功能改变:共生细菌减少,如Phocaeicola、拟杆菌科细菌等;潜在致病菌增加,如肺炎克雷伯菌。DAO-H组的菌群代谢发生变化,菌群鞘脂代谢水平降低,万古霉素类抗生素生物合成(biosynthesis of vancomycin group antibiotics)、叶酸一碳库(one carbon pool by folate)、萜类骨架生物合成(terpenoid backbone biosynthesis)、细胞周期-Caulobacter(cell cycle-Caulobacter)、蛋白质输出(protein export)、碱基切除修复(base excision repair)、氮代谢(nitrogen metabolism)水平较正常组升高。结论血清中DAO-H人群与正常人群比较,存在特有的肠道菌群构成与菌群代谢特征。
