为满足多路远距离电流信号高精度采样的需求,设计了一种基于FPGA的高精度多通道数据采集存储电路。分析了测量电路各模块误差产生的原因,用电路等效理论推导了多通道采集时通道间交叉干扰引入的测量误差,从设计角度出发,提出了减小误差...为满足多路远距离电流信号高精度采样的需求,设计了一种基于FPGA的高精度多通道数据采集存储电路。分析了测量电路各模块误差产生的原因,用电路等效理论推导了多通道采集时通道间交叉干扰引入的测量误差,从设计角度出发,提出了减小误差提高测量精度的方法。对设计的多通道采集电路进行了多次测试实验,测试结果表明,采集电路可实现对8路4 m A^20 m A电流信号高精度采集测量,测量精度优于0.1%。展开更多
Precision oncology aims to offer the most appropriate treatments to cancer patients mainly based on their individual genetic information. Genomics has provided numerous valuable data on driver mutations and risk loci;...Precision oncology aims to offer the most appropriate treatments to cancer patients mainly based on their individual genetic information. Genomics has provided numerous valuable data on driver mutations and risk loci; however, it remains a formidable challenge to transform these data into therapeutic agents. Transcriptomics describes the multifarious expression patterns of both mRNAs and non-coding RNAs （ncRNAs）, which facilitates the deciphering of genomic codes. In this review, we take breast cancer as an example to demonstrate the applications of these rich RNA resources in precision medicine exploration. These include the use of mRNA profiles in triple-negative breast cancer （TNBC） subtyping to inform corresponding candidate targeted therapies; current advancements and achievements of high-throughput RNA interference （RNAi） screening technologies in breast cancer; and microRNAs as functional signatures for defining cell identities and regulating the biological activities of breast cancer cells. We summarize the benefits of transcriptomic analyses in breast cancer management and propose that unscrambling the core signaling networks of cancer may be an important task of multiple-omic data integration for precision oncology.展开更多
为满足型号研制的试验数据质量需求,进一步开展CFD验证与确认工作,中国空气动力研究与发展中心建立了大展弦比运输机高低速统一标模体系。为获得可靠风洞试验数据,使用设计加工的第一个运输机标模CHN-T1(1∶6.4,翼展4.667m)在FL-13风洞...为满足型号研制的试验数据质量需求,进一步开展CFD验证与确认工作,中国空气动力研究与发展中心建立了大展弦比运输机高低速统一标模体系。为获得可靠风洞试验数据,使用设计加工的第一个运输机标模CHN-T1(1∶6.4,翼展4.667m)在FL-13风洞和DNW-LLF风洞进行了试验。同一构型下,前者试验雷诺数为1.4×10^6~2.5×10^6,后者试验雷诺数为1.4×10^6~3.2×10^6。模型在FL-13风洞中通过TG1801A内式六分量天平与大迎角支撑机构相连,在DNW-LLF风洞中则通过W616天平与尾撑机构相连。两风洞均测量了模型力和力矩。风洞试验数据差异评估包括重复性、气动特性和雷诺数影响。结果对比表明:标模在不同风洞试验中的升力线斜率相差很小;设计升力点附近( Ma=0.78,C L =0.5)阻力系数相差0.0004,试验数据一致性较好;雷诺数对标模气动特性影响符合预期。展开更多
文摘为满足多路远距离电流信号高精度采样的需求,设计了一种基于FPGA的高精度多通道数据采集存储电路。分析了测量电路各模块误差产生的原因,用电路等效理论推导了多通道采集时通道间交叉干扰引入的测量误差,从设计角度出发,提出了减小误差提高测量精度的方法。对设计的多通道采集电路进行了多次测试实验,测试结果表明,采集电路可实现对8路4 m A^20 m A电流信号高精度采集测量,测量精度优于0.1%。
基金supported by the National Natural Science Foundation of China(Grant Nos.31230042,31671349,and31700712)
文摘Precision oncology aims to offer the most appropriate treatments to cancer patients mainly based on their individual genetic information. Genomics has provided numerous valuable data on driver mutations and risk loci; however, it remains a formidable challenge to transform these data into therapeutic agents. Transcriptomics describes the multifarious expression patterns of both mRNAs and non-coding RNAs （ncRNAs）, which facilitates the deciphering of genomic codes. In this review, we take breast cancer as an example to demonstrate the applications of these rich RNA resources in precision medicine exploration. These include the use of mRNA profiles in triple-negative breast cancer （TNBC） subtyping to inform corresponding candidate targeted therapies; current advancements and achievements of high-throughput RNA interference （RNAi） screening technologies in breast cancer; and microRNAs as functional signatures for defining cell identities and regulating the biological activities of breast cancer cells. We summarize the benefits of transcriptomic analyses in breast cancer management and propose that unscrambling the core signaling networks of cancer may be an important task of multiple-omic data integration for precision oncology.
文摘为满足型号研制的试验数据质量需求,进一步开展CFD验证与确认工作,中国空气动力研究与发展中心建立了大展弦比运输机高低速统一标模体系。为获得可靠风洞试验数据,使用设计加工的第一个运输机标模CHN-T1(1∶6.4,翼展4.667m)在FL-13风洞和DNW-LLF风洞进行了试验。同一构型下,前者试验雷诺数为1.4×10^6~2.5×10^6,后者试验雷诺数为1.4×10^6~3.2×10^6。模型在FL-13风洞中通过TG1801A内式六分量天平与大迎角支撑机构相连,在DNW-LLF风洞中则通过W616天平与尾撑机构相连。两风洞均测量了模型力和力矩。风洞试验数据差异评估包括重复性、气动特性和雷诺数影响。结果对比表明:标模在不同风洞试验中的升力线斜率相差很小;设计升力点附近( Ma=0.78,C L =0.5)阻力系数相差0.0004,试验数据一致性较好;雷诺数对标模气动特性影响符合预期。
