certainty and Dependence Analysis of Performance Limit State for Structural Multidimensional Fragility Evaluation

Qi’ang Wang,Ziyan Wu,Lu Liu 대한토목학회 2017 KSCE Journal of Civil Engineering Vol.21 No.4

Considering uncertainty and dependence of performance limit states (PLSs), the study addresses a methodology to evaluate multidimensional fragility. The purpose is to identify the PLS uncertainty quantitatively. The dependence between each PLS parameters is also investigated. The limit state band is firstly proposed to describe the bi-dimensional case. Through interval estimation, the band area with a certain confidence level is determined. A reinforcement concrete bridge is used as example to illustrate the proposed approach for developing fragility curves. PLS threshold samples are obtained to formulate limit state function using incremental dynamic analysis. The study investigates the sensitivity of the method for fragility assessment when different confidence levels are considered. In addition, influence of correlation coefficient between PLSs is evaluated. Results show that a fragility interval is obtained with the introduction of limit state band. The interval length decreases as with the reduction of the confidence level. The probability of failure becomes smaller when the dependence between PLSs is ignored, which will result in overestimation of the structural seismic performance

Multivariate Probabilistic Seismic Demand Model for the Bridge Multidimensional Fragility Analysis

Qi’ang Wang,Ziyan Wu,Shukui Liu 대한토목학회 2018 KSCE Journal of Civil Engineering Vol.22 No.9

Seismic fragility analysis for bridges is an essential issue for risk assessment of transportation networks exposed to seismic hazards. Considering multiple Performance Limit States (PLSs) and seismic demand parameters, the study proposes a multidimensional fragility evaluation methodology for engineering structures, and the objective of the paper is to show that the uncertainty and dependence between seismic demand parameters should be considered for fragility analysis. Thus, a new Probabilistic Seismic Demand Model (PSDM) following multivariate logarithmic normal distribution is addressed. Taking PLS correlation into consideration, multidimensional PLS formula is constructed to identify the structural failure domain. A RC bridge is studied to show the proposed theory. To consider bridge column plastic deformation and bearing nonlinear characteristic, nonlinear dynamic analyses are carried out. The bridge multidimensional fragility curves are derived and compared with fragility curves for an individual component. Results indicate that uncertainty and dependence of demand parameters can be properly dealt with by the multivariate PSDM. The multidimensional fragility is higher than fragility of any individual component, and the bridge as a system is more fragile. The ignorance of multiple components contribution to the system will generate an overestimation for the whole structural performance, which is adverse to engineering structural safety.

Prevalence and Related Factors of EPS among Schizophrenic Inpatients

Liu, Lian-Qi,Liu, Xian-Chen,Hu, Lei,Chen, Kun,Li, Chuan-Qi 용인정신의학연구소 1998 용인정신의학보 Vol.5 No.1

An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment

( Qi Liu ),( Weidong Cai ),( Qiang Liu ),( Jian Shen ),( Zhangjie Fu ),( Xiaodong Liu ),( Nigel Linge ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.2

MapReduce (MRV1), a popular programming model, proposed by Google, has been well used to process large datasets in Hadoop, an open source cloud platform. Its new version MapReduce 2.0 (MRV2) developed along with the emerging of Yarn has achieved obvious improvement over MRV1. However, MRV2 suffers from long finishing time on certain types of jobs. Speculative Execution (SE) has been presented as an approach to the problem above by backing up those delayed jobs from low-performance machines to higher ones. In this paper, an adaptive SE strategy (ASE) is presented in Hadoop-2.6.0. Experiment results have depicted that the ASE duplicates tasks according to real-time resources usage among work nodes in a cloud. In addition, the performance of MRV2 is largely improved using the ASE strategy on job execution time and resource consumption, whether in a multi-job environment.

Towards Context Exchange in a MANET Environment

Qi Liu,Nigel Linge,Feng Gao 보안공학연구지원센터 2012 International Journal of Future Generation Communi Vol.5 No.2

Application of galactinol to tomato enhances tolerance to cold and heat stresses

Liu Yudong,Zhang Li,Ma Jian,Meng Sida,Pang Chunpeng,Zhao Xiaomeng,Zhang Huidong,Wang Shou,Xu Tao,He Yi,Liu Yufeng,Qi Mingfang 한국원예학회 2022 Horticulture, Environment, and Biotechnology Vol.63 No.3

Galactinol, a galactosyl donor, is the key substrate in raffinose family oligosaccharide (RFO) biosynthesis pathways. Many studies proved that galactinol also regulates some defense-related genes to be transcribed as a sugar signal under biotic and abiotic stresses. There are four galactinol synthase (SlGolS) genes in tomato. In this study, SlGolS1, SlGolS2, and SlGolS4 responded to cold stress, especially SlGolS1 stems treated for 12 h and SlGolS4 stems treated for 24 h. Under heat stress, the expression levels of SlGolS1, SlGolS2, and SlGolS3, especially SlGolS1 and SlGolS2, increased in leaves, roots, and stems. When expressed in E. coli cells, SlGolS2 and SlGolS4 enhanced cold tolerance, whereas SlGolS1 and SlGolS3 improved heat tolerance. These results suggested that SlGolS family members played different roles in tolerance to cold and heat stresses. In addition, the application of galactinol or galactinol + α-galactosidase inhibitor (DGJ) improved the cold and heat tolerances of tomato plants, whereas the single application of DGJ had no effect. Interestingly, the applications of DGJ, galactinol, and galactinol + DGJ also affected the expression levels of SlRS, SlSTS, and SlAGAL under cold and heat stresses. These findings indicated that galactinol was involved in the biosynthesis pathways of RFOs as a galactosyl donor and regulated the expression levels of RFO biosynthesis and breakdown-related genes as a sugar signal under cold and heat stresses.

Effect of Intraoperative Glucose Fluctuation and Postoperative IL-6, TNF-α, CRP Levels on the Short-term Prognosis of Patients with Intracranial Supratentorial Neoplasms

Liu, Tie-Cheng,Liu, Qi-Ran,Huang, Ying Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24

Objective: To investigate the effect of intraoperative glucose fluctuation and postoperative interlukin-6 (IL-6), tumor necrosis factor-${\alpha}$ (TNF-${\alpha}$), C-reactive protein (CRP) levels on the short-term prognosis of patients with intracranial supratentorial neoplasms. Materials and Methods: Eighty-six patients undergoing intracranial excision were selected in The Second Hospital of Jilin University. According to the condition of glucose fluctuation, the patients were divided into group A (glucose fluctuation <2.2 mmol/L, n=57) and group B (glucose fluctuation ${\geq}2.2mmol/L$, n=29). Glucose was assessed by drawing 2 mL blood from internal jugular vein in two groups in the following time points, namely fasting blood glucose 1 d before operation ($T_0$), 5 min after anesthesia induction ($T_1$), intraoperative peak glucose ($T_2$), intraoperative lowest glucose ($T_3$), 5 min after closing the skull ($T_4$), immediately after returning to intensive care unit (ICU) ($T_5$) and 2 h after returning to ICU ($T_6$). 1 d before operation and 1, 3 and 6 d after operation, serum IL-6 and TNF-${\alpha}$ levels were detected with enzyme-linked immunosorbent assay (ELISA), and CRP level with immunoturbidimetry. Additionally, postoperative adverse reactions were monitored. Results: There was no statistical significance between two groups regarding the operation time, anesthesia time, amount of intraoperative bleeding and blood transfusion (P>0.05). The glucose levels in both groups at $T_1{\sim}T_6$ went up conspicuously compared with that at $T_0$ (P<0.01), and those in group B at $T_2$, $T_4$, $T_5$ and $T_6$ were significantly higher than in group A (P<0.01). Serum IL-6, TNF-${\alpha}$ and CRP levels in both groups 1, 3 and 6 d after operation increased markedly compared with 1 d before operation (P<0.01), but the increased range in group A was notably lower than in group B (P<0.05 or P<0.01). Postoperative incidences of hypoglycemia, hyperglycemia and myocardial ischemia in group A were significantly lower than in group B (P<0.05), and respiratory support time obviously shorter than in group B (P<0.01). Conclusions: The glucose fluctuation of patients undergoing intracranial excision is related to postoperative IL-6, TNF-${\alpha}$ and CRP levels and those with small range of glucose fluctuation have better prognosis.

Dendritic Cells Induce Specific Cytotoxic T Lymphocytes against Prostate Cancer TRAMP-C2 Cells Loaded with Freeze-thaw Antigen and PEP-3 Peptide

Liu, Xiao-Qi,Jiang, Rong,Li, Si-Qi,Wang, Jing,Yi, Fa-Ping Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.2

Prostate cancer is the most common cancer in men. In this study, we investigated immune responses of cytotoxic T lymphocytes (CTLs) against TRAMP-C2 prostate cancer cells after activation by dendritic cells (DCs) loaded with TRAMP-C2 freeze-thaw antigen and/or PEP-3 peptide in vitro. Bone marrow-derived DC from the bone marrow of the C57BL/6 were induced to mature by using the cytokine of rhGM-CSF and rhIL-4, and loaded with either the freeze-thaw antigen or PEP-3 peptide or both of them. Maturation of DCs was detected by flow cytometry. The killing efficiency of the CTLs on TRAMP-C2 cells were detected by flow cytometry, CCK8, colony formation, transwell migration, and wound-healing assay. The levels of the IFN-${\gamma}$, TNF-${\beta}$ and IL-12 were measured by enzyme-linked immunosorbent assay (ELISA). Compared with the unloaded DCs, the loaded DCs had significantly increased expression of several phenotypes related to DC maturation. CTLs activated by DCs loaded with freeze-thaw antigen and PEP-3 peptide had more evident cytotoxicity against TRAMP-C2 cells in vitro. The secretion levels of IFN-${\gamma}$, TNF-${\beta}$ and IL-12, secreted by DCs loaded with antigen and PEP-3 and interaction with T cells, were higher than in the other groups. Our results suggest that the CTLs activated by DCs loaded with TRAMP-C2 freeze-thaw antigen and PEP-3 peptide exert a remarkable killing efficiency against TRAMP-C2 cells in vitro.

Unified Description of Event-by-event Fluctuations in Some Global Observables in Nucleus-nucleus Collisions at High Energies

Qi-Wen Lu,Ling-Ling Liu,Fu-Hu Liu,N. N. Abd Allah 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.4

Event-by-event fluctuations in the multiplicity, the total transverse energy, the mean transverse energy, and the mean transverse momentum in nucleus-nucleus collisions at high energies are uniformly described by using a multi-component Erlang distribution obtained in the framework of a multisource thermal model. The calculated results are compared and found to be in agreement with the experimental data of the WA98, NA49, and PHENIX Collaborations.

Dynamic Reconfguration of Active Distribution System Based on Matrix Shifting Operation and Interval Merger

Qi Liu,Xingquan Ji,Huailu Wang 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.2

Dynamic distribution system reconfguration (DDSR) is a complex NP-hard combinatorial optimization problem when the time varying nature of loads and distribution generation power output are taken into account. Solving the DDSR problem is challenging in terms of computational burden and solution quantity. In this paper, a matrix shifting and interval merger based DDSR algorithm is proposed for line loss reduction. First of all, the matrix of branch power and the vector of line resistance are formulated, and the matrix shifting operation is defned for static reconfguration in an interval. Then, the reconfguration is frstly operated in each hour, and the adjacent intervals are selected to be merged into one new interval constantly, which ensures the validity of the interval merger. Meanwhile, a hash table is established to store the exiting reconfguration schedules to avoid repeated power fow calculations and reduce the compute burden. Finally, the proposed dynamic reconfguration algorithm is applied to three test systems. The simulation results show that the proposed reconfguration algorithm can achieve optimal solutions with acceptable computational cost.