Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems,...Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems, including spectral, polarization, and infrared technologies, there is still a lack of effective real-time method for accurately detecting small-size and high-efficient camouflaged people in complex real-world scenes. Here, this study proposes a snapshot multispectral image-based camouflaged detection model, multispectral YOLO(MS-YOLO), which utilizes the SPD-Conv and Sim AM modules to effectively represent targets and suppress background interference by exploiting the spatial-spectral target information. Besides, the study constructs the first real-shot multispectral camouflaged people dataset(MSCPD), which encompasses diverse scenes, target scales, and attitudes. To minimize information redundancy, MS-YOLO selects an optimal subset of 12 bands with strong feature representation and minimal inter-band correlation as input. Through experiments on the MSCPD, MS-YOLO achieves a mean Average Precision of 94.31% and real-time detection at 65 frames per second, which confirms the effectiveness and efficiency of our method in detecting camouflaged people in various typical desert and forest scenes. Our approach offers valuable support to improve the perception capabilities of unmanned aerial vehicles in detecting enemy forces and rescuing personnel in battlefield.展开更多
目的探讨基于SNaPshot技术的精液特异性编码区单核苷酸多态性(coding region single nucleo⁃tide polymorphism,cSNP)遗传标记检测在精液(斑)溯源及混合体液(斑)鉴定中的可行性。方法制备16例精液斑和11例精液-静脉血混合斑样本,提取其...目的探讨基于SNaPshot技术的精液特异性编码区单核苷酸多态性(coding region single nucleo⁃tide polymorphism,cSNP)遗传标记检测在精液(斑)溯源及混合体液(斑)鉴定中的可行性。方法制备16例精液斑和11例精液-静脉血混合斑样本,提取其基因组DNA(genomic DNA,gDNA)和总RNA,并将总RNA逆转录为互补DNA(complementary DNA,cDNA)。在已验证的精液特异性mRNA编码基因上筛选cSNP遗传标记。基于SNaPshot技术构建cSNP复合检测体系并通过CE对样本进行基因分型。结果成功构建了包含5个精液特异性cSNP的复合检测体系。在16例精液样本中,除了位于TGM4基因上的cSNP在cDNA的检测结果中出现等位基因丢失外,其余cSNP的gDNA和cDNA分型结果高度一致。检测精液-静脉血混合斑时,检出的cSNP分型结果均与精液提供者的基因型一致,未受到静脉血提供者基因型的干扰。结论应用SNaPshot技术检测精液特异性cSNP的方法可以应用于法医学精液(斑)的基因分型,并为混合体液(斑)中精液来源个体的判定提供信息。展开更多
Ribosome production is vital for every cell,and failure causes human diseases.It is driven by∼200 assembly factors functioning along an ordered pathway from the nucleolus to the cytoplasm.Structural snapshots of biog...Ribosome production is vital for every cell,and failure causes human diseases.It is driven by∼200 assembly factors functioning along an ordered pathway from the nucleolus to the cytoplasm.Structural snapshots of biogenesis intermediates from the earliest 90S pre-ribosomes to mature 40S subunits unravel the mechanisms of small ribosome synthesis.To view this SnapShot,open or download the PDF.展开更多
目的探讨智能冠状动脉运动追踪平台Snapshot Freeze（SSF）在冠状动脉CT血管成像（CCTA）中的应用价值。方法连续选取61例患者,使用Discovery CT750 HD Freedom进行冠状动脉扫描,扫描后分别使用和不使用SSF重建,得到A、B两组图像;根据...目的探讨智能冠状动脉运动追踪平台Snapshot Freeze（SSF）在冠状动脉CT血管成像（CCTA）中的应用价值。方法连续选取61例患者,使用Discovery CT750 HD Freedom进行冠状动脉扫描,扫描后分别使用和不使用SSF重建,得到A、B两组图像;根据扫描实时心率将患者分为低心率组（心率≤70次/分,n=34）,中高心率组（心率71～80次/分,n=14）和高心率组（心率〉80次/分,n=13）。对比分析A、B组间和不同心率组间的图像质量差异。结果除左主干（S5）外,B组冠状动脉各节段图像质量评分均优于A组（P均〈0.05）;S5段剔除评分为5分者后,其余7例B组图像质量均优于A组（P=0.008）;未使用SSF重建时不可诊断的42个节段经用SSF重建后全部可用于诊断。未使用SSF重建的不同心率组间除S7、S9段外,其余各节段图像质量评分差异均有统计学意义（P均〈0.05）,图像质量随心率增加而下降;使用SSF重建后,不同心率组间各节段图像质量评分差异均无统计学意义（P均〉0.05）。未使用SSF重建的右冠状动脉中段（S2）在15段中评分最低（2.88±0.91）分,S3次之（3.65±1.32）分,且S2在低心率组亦有17例出现移动伪影影响其评估;使用SSF重建后,S2、S3移动伪影显著改善,评分分别提升至（4.32±0.59）分和（4.49±0.59）分,均满足诊断需求。结论 SSF能够有效地纠正高心率及心率波动导致的冠状动脉血管移动伪影,优化CCTA图像质量,尤其对右冠状动脉移动伪影有显著意义。展开更多
This paper describes a method for building hot snapshot copy based on windows-file system （HSCF）. The architecture and running mechanism of HSCF are discussed after giving a comparison with other on-line backup tecb...This paper describes a method for building hot snapshot copy based on windows-file system （HSCF）. The architecture and running mechanism of HSCF are discussed after giving a comparison with other on-line backup tecbnology. HSCF, based on a file system filter driver, protects computer data and ensures their integrity and consistency with following three steps： access to open files, synchronization and copy on-write. Its strategies for improving system performance are analyzed including priority setting, incremental snapshot and load balance. HSCF is a new kind of snapshot technology to solve the data integrity and consistency problem in online backup, which is different from other storage-level snapshot and Open File Solution.展开更多
基金support by the National Natural Science Foundation of China (Grant No. 62005049)Natural Science Foundation of Fujian Province (Grant Nos. 2020J01451, 2022J05113)Education and Scientific Research Program for Young and Middleaged Teachers in Fujian Province (Grant No. JAT210035)。
文摘Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems, including spectral, polarization, and infrared technologies, there is still a lack of effective real-time method for accurately detecting small-size and high-efficient camouflaged people in complex real-world scenes. Here, this study proposes a snapshot multispectral image-based camouflaged detection model, multispectral YOLO(MS-YOLO), which utilizes the SPD-Conv and Sim AM modules to effectively represent targets and suppress background interference by exploiting the spatial-spectral target information. Besides, the study constructs the first real-shot multispectral camouflaged people dataset(MSCPD), which encompasses diverse scenes, target scales, and attitudes. To minimize information redundancy, MS-YOLO selects an optimal subset of 12 bands with strong feature representation and minimal inter-band correlation as input. Through experiments on the MSCPD, MS-YOLO achieves a mean Average Precision of 94.31% and real-time detection at 65 frames per second, which confirms the effectiveness and efficiency of our method in detecting camouflaged people in various typical desert and forest scenes. Our approach offers valuable support to improve the perception capabilities of unmanned aerial vehicles in detecting enemy forces and rescuing personnel in battlefield.
文摘目的探讨基于SNaPshot技术的精液特异性编码区单核苷酸多态性(coding region single nucleo⁃tide polymorphism,cSNP)遗传标记检测在精液(斑)溯源及混合体液(斑)鉴定中的可行性。方法制备16例精液斑和11例精液-静脉血混合斑样本,提取其基因组DNA(genomic DNA,gDNA)和总RNA,并将总RNA逆转录为互补DNA(complementary DNA,cDNA)。在已验证的精液特异性mRNA编码基因上筛选cSNP遗传标记。基于SNaPshot技术构建cSNP复合检测体系并通过CE对样本进行基因分型。结果成功构建了包含5个精液特异性cSNP的复合检测体系。在16例精液样本中,除了位于TGM4基因上的cSNP在cDNA的检测结果中出现等位基因丢失外,其余cSNP的gDNA和cDNA分型结果高度一致。检测精液-静脉血混合斑时,检出的cSNP分型结果均与精液提供者的基因型一致,未受到静脉血提供者基因型的干扰。结论应用SNaPshot技术检测精液特异性cSNP的方法可以应用于法医学精液(斑)的基因分型,并为混合体液(斑)中精液来源个体的判定提供信息。
文摘Ribosome production is vital for every cell,and failure causes human diseases.It is driven by∼200 assembly factors functioning along an ordered pathway from the nucleolus to the cytoplasm.Structural snapshots of biogenesis intermediates from the earliest 90S pre-ribosomes to mature 40S subunits unravel the mechanisms of small ribosome synthesis.To view this SnapShot,open or download the PDF.
基金Supported by the National Natural Science Foun-dation of China (60473023) National Innovation Foundation forSmall Technology Based Firms(04C26214201280)
文摘This paper describes a method for building hot snapshot copy based on windows-file system （HSCF）. The architecture and running mechanism of HSCF are discussed after giving a comparison with other on-line backup tecbnology. HSCF, based on a file system filter driver, protects computer data and ensures their integrity and consistency with following three steps： access to open files, synchronization and copy on-write. Its strategies for improving system performance are analyzed including priority setting, incremental snapshot and load balance. HSCF is a new kind of snapshot technology to solve the data integrity and consistency problem in online backup, which is different from other storage-level snapshot and Open File Solution.
