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- 저자 : Xiaoling Liu (검색결과 38 건)
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Xiaole Huang,Yu Ding,Wennian Xu,Shiyuan Xiong,Liming Liu 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.12
Fibers have been widely applied to improve the mechanical properties of natural soil and traditional cemented soils, but rarely investigated in substrates for slope eco-protection. Vegetation-growing concrete (VC) substrate is a kind of ecological cemented soil and has very wide popularization and application prospects. In this study, unconsolidated-undrained (UU) triaxial compression tests were conducted on the control specimens of VC substrate containing three cement contents and the palm fiber reinforced specimens manufactured by adding four fiber contents. The control specimens were shown to possess increasing yield strength, ultimate strength, yield strain and shear modulus with cement content, which resulted from the cemented texture improved by the hydrate products as recognized previously. Instead of inextensible reinforcement provided by cement, the palm fibers were found to provide extensible reinforcement, through which the obvious softening behavior of VC substrate could transfer to elasto-plasticity. Attributed to the unique ductility, the fibers added could bring with considerable increase in ductility of reinforced substrate, except for additional increases in yield strength, ultimate strength and yield strain.
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Centralized Clustering Routing Based on Improved Sine Cosine Algorithm and Energy Balance in WSNs
Xiaoling Guo,Xinghua Sun,Ling Li,Renjie Wu,Meng Liu 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.1
Centralized hierarchical routing protocols are often used to solve the problems of uneven energy consumptionand short network life in wireless sensor networks (WSNs). Clustering and cluster head election have becomethe focuses of WSNs. In this paper, an energy balanced clustering routing algorithm optimized by sine cosinealgorithm (SCA) is proposed. Firstly, optimal cluster head number per round is determined according tosurviving node, and the candidate cluster head set is formed by selecting high-energy node. Secondly, a randompopulation with a certain scale is constructed to represent a group of cluster head selection scheme, and fitnessfunction is designed according to inter-cluster distance. Thirdly, the SCA algorithm is improved by usingmonotone decreasing convex function, and then a certain number of iterations are carried out to select a groupof individuals with the minimum fitness function value. From simulation experiments, the process from thefirst death node to 80% only needs about 30 rounds. This improved algorithm balances the energy consumptionamong nodes and avoids premature death of some nodes. And it greatly improves the energy utilization andextends the effective life of the whole network.
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An Efficient Secure DV-Hop Localization for Wireless Sensor Network
Xiaole Liu,Rui Yang,Qingmin Cui 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.7
Localization algorithm is an important and challenging topic in Wireless Sensor Networks (WSNs), especially for the applications requiring the accurate position of the sensed information. Various algorithms have been proposed to obtain the location of sensor nodes. However, most of existing location algorithms assumes a non-adversarial environment. The position estimation accuracy decreases drastically when some of the sensor nodes are compromised. In this paper, we develop a secure localization scheme to resist the attack on the DV-Hop scheme, to mitigate the impact of such attacks. In our scheme, the flooding packets in the DV-Hop will be authenticated and the weight of beacon nodes will be used to abate the effect of nodes capture attack. Analysis and simulation results demonstrate that the proposed can not only against nodes compromised attack effectively but also achieve comparable localization performance
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Changming Liu,Xiaoling Li,Ruiping Yang,Yanling Mo,Yongqi Wang,Feng Xian,Xian Zhang,Fei Wang 한국원예학회 2014 Horticulture, Environment, and Biotechnology Vol.55 No.6
Powdery mildew caused by Podosphaera xanthii (P. xanthii) is one of important diseases in melon. Wehave previously investigated the differential gene expression in the incompatible P. xanthii-melon interactions andidentified one EST containing homologous sequences to S-adenosylmethionine decarboxylase (SAMDC) cDNA. Giventhis, SAMDC gene of Cucumis melo was cloned and designated as CmSAMDC in this study. It was 1,095 bp longand encoded a 364-amino acid peptide with a molecular mass of 40 kD. By sequence analyzing, the deducedCmSAMDC protein was shown to have two conserved regions of a putative proenzyme cleavage site and a PESTdomain. In addition, the expressions of CmSAMDC in the resistant melon materials increased more sharply than inthe susceptible the melon materials, and the higher polyamines (PAs) and hydrogen peroxide (H2O2) contents inresistant melon materials were found as well, which were accompanied by up-regulation of the stress-responsive defenseenzyme activities. Over-expression of CmSAMDC in Arabidopsis resulted in greatly reduced pathogen infection in theinoculated leaves of transgenic lines, enhanced resistance to powdery mildew, and the enhanced resistance appearedto be associated with pathogen-induced cell death. Taken together, our results suggested that CmSAMDC and perhapsits orthologous genes might be involved in responses of plants to biotrophic pathogens.
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Zhou Xiaoling,Yan Qiongxian,Liu Liling,Chen Genyuan,Tang Shaoxun,He Zhixiong,Tan Zhiliang 아세아·태평양축산학회 2022 Animal Bioscience Vol.35 No.6
Objective: The effects of maternal undernutrition during midgestation on muscle fiber histology, myosin heavy chain (MyHC) expression, methylation modification of myogenic factors, and the mammalian target of rapamycin (mTOR) signaling pathway in the skeletal muscles of prenatal and postnatal goats were examined. Methods: Twenty-four pregnant goats were assigned to a control (100% of the nutrients requirement, n = 12) or a restricted group (60% of the nutrients requirement, n = 12) between 45 and 100 days of gestation. Descendants were harvested at day 100 of gestation and at day 90 after birth to collect the femoris muscle tissue. Results: Maternal undernutrition increased (p<0.05) the fiber area of the vastus muscle in the fetuses and enhanced (p<0.01) the proportions of MyHCI and MyHCIIA fibers in offspring, while the proportion of MyHCIIX fibers was decreased (p<0.01). DNA methylation at the +530 cytosine-guanine dinucleotide (CpG) site of the myogenic factor 5 (MYF5) promoter in restricted fetuses was increased (p<0.05), but the methylation of the MYF5 gene at the +274,280 CpG site and of the myogenic differentiation (MYOD) gene at the +252 CpG site in restricted kids was reduced (p<0.05). mTOR protein signals were downregulated (p<0.05) in the restricted offspring. Conclusion: Maternal undernutrition altered the muscle fiber type in offspring, but its relationship with methylation in the promoter regions of myogenic genes needs to be elucidated. Objective: The effects of maternal undernutrition during midgestation on muscle fiber histology, myosin heavy chain (MyHC) expression, methylation modification of myogenic factors, and the mammalian target of rapamycin (mTOR) signaling pathway in the skeletal muscles of prenatal and postnatal goats were examined.Methods: Twenty-four pregnant goats were assigned to a control (100% of the nutrients requirement, n = 12) or a restricted group (60% of the nutrients requirement, n = 12) between 45 and 100 days of gestation. Descendants were harvested at day 100 of gestation and at day 90 after birth to collect the femoris muscle tissue.Results: Maternal undernutrition increased (p<0.05) the fiber area of the vastus muscle in the fetuses and enhanced (p<0.01) the proportions of MyHCI and MyHCIIA fibers in offspring, while the proportion of MyHCIIX fibers was decreased (p<0.01). DNA methylation at the +530 cytosine-guanine dinucleotide (CpG) site of the myogenic factor 5 (MYF5) promoter in restricted fetuses was increased (p<0.05), but the methylation of the MYF5 gene at the +274,280 CpG site and of the myogenic differentiation (MYOD) gene at the +252 CpG site in restricted kids was reduced (p<0.05). mTOR protein signals were downregulated (p<0.05) in the restricted offspring.Conclusion: Maternal undernutrition altered the muscle fiber type in offspring, but its relationship with methylation in the promoter regions of myogenic genes needs to be elucidated.
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Minghui Liu,Xiaoling Wang,Xiaobin Zhu,Wenlong Chen,Xiao Li 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.9
Due to its weak dependence on the quantity of variable samples, the non-probabilistic reliability analysis method based on the convex set model is applicable to practical problems in structural engineering with inherent uncertainties. However, when dealing with the black-box limit-state function issues in practical complex structural engineering, the traditional quadratic polynomial response surface (QP-RS) method has the problem of insufficient precision in approximating a highly nonlinear function. Meanwhile, fixing the limits of interval variables is trickier in case of scant samples and meager statistical information. To remedy the above deficiencies, this paper introduces a reasonable integrated reliability analysis approach. First, an adaptive Gaussian process regression response surface (GPR-RS) method that dynamically improves the fitted accuracy near the design point of the black-box limit-state function is formulated. Furthermore, the integrated reliability index with consideration of fuzzy interval uncertainties is presented. Three validation and two application examples are employed, which have justified the approach as a more reasonable assessor of practical complex structural reliability with safer results.
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