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- 저자 : ( Zuo-liang Yin ) (검색결과 3 건)
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A Novel Recursive Algorithm for Efficient ZF-OSIC Detection in a V-BLAST System
( Zuo-liang Yin ),( Xing-peng Mao ),( Qin-yu Zhang ),( Nai-tong Zhang ) 한국인터넷정보학회 2011 KSII Transactions on Internet and Information Syst Vol.5 No.12
To reduce the implementation complexity of the Vertical Bell Labs layered space-time (V-BLAST) systems with respect to the zero-forcing (ZF) criterion, a computationally efficient recursive algorithm is proposed. A fast implementation of the proposed algorithm is developed and its complexity is analyzed in detail. The proposed algorithm matches the ZF-OSIC detection well, and its three significant advantages can be demonstrated by analyses and simulations. Firstly, its speedups over the conventional ZF-OSIC with norm-based ordering, the original fast recursive algorithm (FRA) and the fastest known algorithm (FKA) in the number of flops are 1.58, 2.33 and 1.22, respectively. Secondly, a much simpler implementation than FRA and FKA can be expected. Finally, the storage requirements are lower than those of FRA and FKA. These advantages make the proposed algorithm more efficient and practical.
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Risk of venous thromboembolism in Chinese pregnant women: Hong Kong venous thromboembolism study
Duo Huang,Emmanuel Wong,Ming-Liang Zuo,Pak-Hei Chan,Wen-Sheng Yue,Hou-Xiang Hu,Ling Chen,Li-Xue Yin,Xin-Wu Cui,Ming-Xiang Wu,Xi Su,Chung-Wah Siu,Jo-Jo Hai 대한혈액학회 2019 Blood Research Vol.54 No.3
BackgroundPrevious Caucasian studies have described venous thromboembolism in pregnancy; however, little is known about its incidence during pregnancy and early postpartum peri-od in the Chinese population. We investigated the risk of venous thromboembolism in a “real-world” cohort of pregnant Chinese women with no prior history of venous thromboembolism.MethodsIn this observational study, 15,325 pregnancies were identified in 14,162 Chinese women at Queen Mary Hospital, Hong Kong between January 2004 and September 2016. Demographic data, obstetric information, and laboratory and imaging data were retrieved and reviewed.ResultsThe mean age at pregnancy was 32.4±5.3 years, and the median age was 33 years (interquartile range, 29‒36 yr). Pre-existing or newly diagnosed diabetes mellitus was present in 627 women (4.1%); 359 (0.7%) women had pre-existing or newly detected hypertension. There was a small number of women with pre-existing heart disease and/or rheumatic conditions. Most deliveries (86.0%) were normal vaginal; the remaining were Cesarean section 2,146 (14.0%). The incidence of venous thromboembolism was 0.4 per 1,000 pregnancies, of which 83.3% were deep vein thrombosis and 16.7% were pul-monary embolism. In contrast to previous studies, 66.7% of venous thrombosis occurred in the first trimester.ConclusionChinese women had a substantially lower risk of venous thromboembolism during preg-nancy and the postpartum period compared to that of Caucasians. The occurrence of pregnancy-related venous thromboembolism was largely confined to the early preg-nancy period, probably related to the adoption of thromboprophylaxis, a lower rate of Cesarean section, and early mobilization.
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Ya-Nan Zhang,Xiu-Yun Zhu,Qian Zhang,Cai-Yun Yin,Zhi-PingDong,Ling-Hua Zuo,Dao-Gui Deng,Liang Sun,Xiao-Ming Li 한국응용곤충학회 2016 Journal of Asia-Pacific Entomology Vol.19 No.4
Chemosensory system plays important roles in insect behaviors, some key genes governing chemosensation can potentially be used as novel targets for pest control. Nysius ericae (Hemiptera: Lygaeidae) is a polyphagous insect pest found throughout Eurasia countries which causes damage to many important crops. Little is known about the chemosensory mechanisms of host location and mate choice in N. ericae at themolecular level. Here, we assembled the antennal transcriptome of N. ericae using Illumina sequencing technology. Analysis of the transcriptome data identified 148 candidate chemosensory genes, including 28 for odorant binding proteins (OBPs), 16 for chemosensory proteins (CSPs), 2 for sensory neuron membrane proteins (SNMPs), 83 odorant receptors (ORs), 12 ionotropic receptors (IRs), and 7 gustatory receptors (GRs). Our results greatly improve the gene inventory for N. ericae and provide valuable resources for analyzing the functions of some key genes. This information will aid in the development of better understanding of chemosensation in N. ericae, and indicate novel targets for managing its impact on agriculture. Chemosensory system plays important roles in insect behaviors, some key genes governing chemosensation can potentially be used as novel targets for pest control. Nysius ericae (Hemiptera: Lygaeidae) is a polyphagous insect pest found throughout Eurasia countries which causes damage to many important crops. Little is known about the chemosensory mechanisms of host location and mate choice in N. ericae at themolecular level. Here, we assembled the antennal transcriptome of N. ericae using Illumina sequencing technology. Analysis of the transcriptome data identified 148 candidate chemosensory genes, including 28 for odorant binding proteins (OBPs), 16 for chemosensory proteins (CSPs), 2 for sensory neuron membrane proteins (SNMPs), 83 odorant receptors (ORs), 12 ionotropic receptors (IRs), and 7 gustatory receptors (GRs). Our results greatly improve the gene inventory for N. ericae and provide valuable resources for analyzing the functions of some key genes. This information will aid in the development of better understanding of chemosensation in N. ericae, and indicate novel targets for managing its impact on agriculture.Chemosensory system plays important roles in insect behaviors, some key genes governing chemosensation can potentially be used as novel targets for pest control. Nysius ericae (Hemiptera: Lygaeidae) is a polyphagous insect pest found throughout Eurasia countries which causes damage to many important crops. Little is known about the chemosensory mechanisms of host location and mate choice in N. ericae at themolecular level. Here, we assembled the antennal transcriptome of N. ericae using Illumina sequencing technology. Analysis of the transcriptome data identified 148 candidate chemosensory genes, including 28 for odorant binding proteins (OBPs), 16 for chemosensory proteins (CSPs), 2 for sensory neuron membrane proteins (SNMPs), 83 odorant receptors (ORs), 12 ionotropic receptors (IRs), and 7 gustatory receptors (GRs). Our results greatly improve the gene inventory for N. ericae and provide valuable resources for analyzing the functions of some key genes. This information will aid in the development of better understanding of chemosensation in N. ericae, and indicate novel targets for managing its impact on agriculture.
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