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High-strength concrete deep beams with web openings strengthened by carbon fiber reinforced plastics
Wen-Yao Lu,Hsin-Wan Yu,Chun-Liang Chen,Shen-Lung Liu,Ting-Chou Che 사단법인 한국계산역학회 2015 Computers and Concrete, An International Journal Vol.15 No.1
The objective of this study is to examine the effect of carbon fiber reinforced polymer (CFRP) on the shear strengths of deep beams with web openings. A total of 18 high-strength concrete deep beams with web openings were tested. Twelve were externally wrapped with four layers of CFRP, six of them strengthened in the horizontal direction and the others in the vertical direction. The parameters of the configuration of CFRP, the sizes of the openings and the locations of the openings were covered in this study. The test results indicates the shear strengths of deep beams with openings sized 60×40 mm were about 16% higher than that with openings sized 68×68 mm. For deep beams with openings sized 60×40 mm, the lower the locations of openings the higher the shear strengths were. The test results also indicate the shear strengths of deep beams with web openings strengthened by CFRP wrapped in the vertical direction can be enhanced by about 10%. However, the shear strengths of deep beams with web openings strengthened by CFRP wrapped in the horizontal direction can only be enhanced by about 6%. The shear strengths of deep beam, with different size and location of web openings and strengthened by different configuration of CFRP can be reasonably predicted by the empirical formulas of Kong and Sharp.
Job-aware Network Scheduling for Hadoop Cluster
( Wen Liu ),( Zhigang Wang ),( Yanming Shen ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.1
In recent years, data centers have become the core infrastructure to deal with big data processing. For these big data applications, network transmission has become one of the most important factors affecting the performance. In order to improve network utilization and reduce job completion time, in this paper, by real-time monitoring from the application layer, we propose job-aware priority scheduling. Our approach takes the correlations of flows in the same job into account, and flows in the same job are assigned the same priority. Therefore, we expect that flows in the same job finish their transmissions at about the same time, avoiding lagging flows. To achieve load balancing, two approaches (Flow-based and Spray) using ECMP (Equal-Cost multi-path routing) are presented. We implemented our scheme using NS-2 simulator. In our evaluations, we emulate real network environment by setting background traffic, scheduling delay and link failures. The experimental results show that our approach can enhance the Hadoop job execution efficiency of the shuffle stage, significantly reduce the network transmission time of the highest priority job.
Wen-ming Zhang,Jia-qi Chang,Xing-hang Shen,Xiao-fan Lu,Tian-cheng Liu 국제구조공학회 2023 Structural Engineering and Mechanics, An Int'l Jou Vol.88 No.1
With the gradual implementation of long-span suspension bridges into high-speed railway operations, the main beam’s bending stiffness contribution to the live load response permanently grows. Since another critical control parameter of railway suspension bridges is the beam-end rotation angle, it should not be ignored by treating the main beam deflection as the only deformation response. To this end, the current study refines the existing method of the main cable shape and simply supported beam bending moment analogy. The bending stiffness of the main beam is considered, and the main beam’s analytical expressions of deflection and rotation angle in the whole span are obtained using the cable-beam deformation coordination relationship. Taking a railway suspension bridge as an example, the effectiveness and accuracy of the proposed analytical method are verified by the finite element method (FEM). Comparison of the results by FEM and the analytical method ignoring the main beam stiffness revealed that the bending stiffness of the main beam strongly contributed to the live load response. Under the same live load, as the main beam stiffness increases, the overall deformation of the structure decreases, and the reduction is particularly noticeable at locations with original larger deformations. When the main beam stiffness is increased to a certain extent, the stiffening effect is no longer pronounced.
Shi, Wen-Jing,Liu, Hao,Wu, Dan,Tang, Zhen-Hua,Shen, Yu-Chen,Guo, Lin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.17
Interleukin-6 (IL-6), a central proinflammatory cytokine, maintains immune homeostasis and also plays important roles in cervical cancer. Therefore, we aimed to evaluate any associations of IL-6 gene polymorphisms at positions -174 and -572 with predisposition to cervical cancer in a Chinese population. The present hospital-based case-control study comprised 518 patients with cervical cancer and 518 healthy controls. Polymorphisms of the IL-6 gene were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Patients with cervical cancer had a significantly higher frequency of the IL-6 -174 CC genotype [odds ratio (OR) =1.52, 95% confidence interval (CI) = 1.06-2.19; p=0.02], IL-6 -572 CC genotype (OR =1.91, 95% CI = 1.16-3.13; p=0.01) and IL-6 -174 C allele (OR =1.21, 95% CI = 1.02-1.44; p=0.03) compared to healthy controls. When stratifying by the FIGO stage, patients with III-IV cervical cancer had a significantly higher frequency of IL-6 -174 CC genotype (OR =1.64, 95% CI =1.04-2.61; p=0.04). The CC genotypes of the IL-6 gene polymorphisms at positions -174 and -572 may confer a high risk of cervical cancer. Additional studies with detailed human papillomavirus (HPV) infection data are warranted to validate our findings.
The 2518 A/G Polymorphism in the MCP-1 Gene and Cancer Risk: A Meta-analysis
Jia, Liu-Qun,Shen, Yong-Chun,Guo, Shu-Jin,Hu, Qian-Jing,Pang, Cai-Shuang,Wang, Tao,Chen, Lei,Wen, Fu-Qiang Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.6
Background: The 2518 A/G polymorphism in the MCP-1 gene has been extensively studied for association swith cancer; however, results from replication studies have been inconsistent. The aim of this investigation was to determine links with risk of cancer by meta-analysis. Methods: We searched Pubmed, Embase, CNKI, Weipu and Wanfang databases, covering all case-control studies until March, 2013. Statistical analyses were performed using the Revman 5.0 software. Results: A total of 11 case-control studies met our inclusion criteria, including 1,422 cases and 2,237 controls. The results indicated that the MCP-1 2518 gene polymorphism had no association with cancer risk overall (GG vs.GA+ AA: OR = 0.89, 95%CI = 0.61-1.28, P = 0.52). However, in the subgroup analysis by ethnicity, a decrease of cancer risk was found in Asian populations (GG vs.GA+ AA: OR = 0.79, 95%CI = 0.63-0.99, P = 0.04). Conclusion: This meta-analysis suggested that the 2518A/G polymorphism of MCP-1 gene is associated with risk of cancer among Asian, but not in Caucasian populations.
Haiquan Liu,Jianing Rong,Yao Song,Guoqiong Shen,Wen Gu,Xin Liu 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.6
We prepared a series of Gd2O3:Yb,Er,Ca (3/1/x mol.%, x represents the nominal concentration of Ca element including 0, 2, 3, 4, 5, 7, 10) upconversion nanoparticles (UCNPs) with regular morphology via a wet-chemical route. We observed a simultaneous enhancement of upconversion luminescence (UCL) emission of Gd2O3:Yb,Er after Ca2+ ions were doped. When the doping level of Ca2+ reaches its optimal concentrate at 5 mol.%, the red and green emissions increased by 6.3 and 11 times, respectively. The potential application of Gd2O3:Yb,Er,Ca material as a noninvasion optical thermometry based on FIR technique was investigated. The sensing of temperature at both high and room temperatures was realized by choosing different parameters. The absolute temperature sensitivity (S'a) of Gd2O3:Yb,Er nanoparticles at 293K reached 0.0875 K-1, whereas Gd2O3:Yb,Er, 5 mol.%Ca was chosen as sensor of high temperature due to its considerable Sa of 0.0060 K-1 at 573 K. The resultant UCNPs provided a new way for sensitive thermal detection at various target temperatures.
Wan, Chun,Shen, Yong-Chun,Liu, Meng-Qi,Yang, Ting,Wang, Tao,Chen, Lei,Yi, Qun,Wen, Fu-Qiang Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.9
The diagnosis of malignant mesothelioma (MM) remains a clinical challenge and the fluorescence in situ hybridization (FISH) assay has been reported to be one promising tool. The present meta-analysis aimed to establish the overall diagnostic accuracy of FISH for diagnosing MM. After a systematic review of English language studies, the sensitivity, specificity and other measures of accuracy of FISH in the diagnosis of MM were pooled using random-effects models. Summary receiver operating characteristic curves were applied to summarize overall test performance. Nine studies met our inclusion criteria, the pooled sensitivity and specificity for FISH for diagnosing MM being 0.72 (95% CI 0.67-0.76) and 1.00 (95% CI 0.98-1.00), respectively. The positive likelihood ratio was 34.5 (95% CI 14.5-82.10), the negative likelihood ratio was 0.24 (95% CI 0.16-0.36), and the diagnostic odds ratio was 204.9 (95% CI 76.8-546.6), the area under the curve being 0.99. Our data suggest that the FISH assay is likely to be a useful diagnostic tool for confirming MM. However, considering the limited studies and patients included, further large scale studies are needed to confirm these findings.
He, Feng,Wen, Hai-Shen,Li, Ji-Fang,Yu, Da-Hui,Ma, Rui-Qin,Shi, Dan,Mu, Wei-Jie,Zhang, Yuan-Qing,Hu, Jian,Liu, Miao,Han, Wei-Guo,Zhang, Jia-Nan,Wang, Qing-Qing,Yuan, Yu-Ren,Liu, Qun Asian Australasian Association of Animal Productio 2011 Animal Bioscience Vol.24 No.4
Gonadotropin-releasing hormone receptor (GnRHR) gene is expressed at the anterior pituitary gland and plays a key role in gonad development. This study aimed to investigate molecular genetic characteristics of the GnRHR gene and elucidate the effects of single nucleotide polymorphisms (SNPs) of GnRHR gene on sex steroid level in Japanese flounder (Paralichthys olivaceus). We used polymerase chain reaction single-strand conformation polymorphism (PCR-SSCP) and sequencing of the GnRHR gene in 75 individuals. We identified three SNPs in the GnRHR gene: P1 locus (C759A and C830T) in the coding region of exon2 which were both linked together and P2 locus (G984T) in the coding region of exon3, which added a new transcript factor (ADR1) and a new methylation site (CG). Only C830T of P1 leads to amino acid changes Thr266Ile. Statistical analysis showed that P1 was significantly associated with $17{\beta}$-estradiol ($E_2$) level (p<0.01) and gonadosomatic index (GSI) (p<0.05). Individuals with genotype BB of P1 had significantly higher serum $E_2$ levels (p<0.01) and GSI (p<0.05) than those of genotype AA or AB. Another SNP, P2, synonymous mutation, was significantly associated with GSI (p<0.05). Individuals with genotype AB of P2 had significantly higher GSI (p<0.05) than that of genotype AA. In addition, there was a significant association between one diplotype based on three SNPs and reproductive traits. The genetic effects for both serum $E_2$ level and GSI of diplotype D4 were super diplotypes (p<0.05). These results suggest that the SNPs in Japanese Flounder GnRHR are associated with $E_2$ level and GSI.
Deeper SSD: Simultaneous Up-sampling and Down-sampling for Drone Detection
( Han Sun ),( Wen Geng ),( Jiaquan Shen ),( Ningzhong Liu ),( Dong Liang ),( Huiyu Zhou ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.12
Drone detection can be considered as a specific sort of small object detection, which has always been a challenge because of its small size and few features. For improving the detection rate of drones, we design a Deeper SSD network, which uses large-scale input image and deeper convolutional network to obtain more features that benefit small object classification. At the same time, in order to improve object classification performance, we implemented the up-sampling modules to increase the number of features for the low-level feature map. In addition, in order to improve object location performance, we adopted the down-sampling modules so that the context information can be used by the high-level feature map directly. Our proposed Deeper SSD and its variants are successfully applied to the self-designed drone datasets. Our experiments demonstrate the effectiveness of the Deeper SSD and its variants, which are useful to small drone’s detection and recognition. These proposed methods can also detect small and large objects simultaneously.