Flexural behaviour of steel plate-masonry composite beams

Deng-Hu Jing,Shuang-Yin Cao,Lei Shi 국제구조공학회 2012 Steel and Composite Structures, An International J Vol.13 No.2

Steel plate-masonry composite structure is a newly-developed type of structural technique applicable to existing masonry buildings by which the load-bearing walls can be removed for large spaces. This kind of structure has been used in practice for its several advantages, but experimental investigation on its elements is nearly unavailable in existing literature. This paper presents an experimental study on the flexural behaviour of four steel plate-masonry composite beams loaded by four-point bending. Test results indicate that failure of the tested beams always starts from the local buckling of steel plate, and that the tested beams can satisfy the requirement of service limit state. In addition, the assumption of plane section is still remained for steel plate prior to local buckling or steel yielding. By comparative analyses, it was also verified that the working performance of the beam is influenced by the cross-section of steel plate, which can be efficiently enhanced by epoxy adhesive rather than cement mortar or nothing at all. Besides, it was also found that the contribution of the encased masonry to the flexural capacity of the composite beam cannot be ignored when the beam is injected with epoxy adhesive.

A Light-weighted Data Collection Method for DNS Simulation on the Cyber Range

( Shuang Li ),( Shasha Du ),( Wenfeng Huang ),( Siyu Liang ),( Jinxi Deng ),( Le Wang ),( Huiwu Huang ),( Xinhai Liao ),( Shen Su ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.8

The method of DNS data collection is one of the most important parts of DNS simulation. DNS data contains a lot of information. When it comes to analyzing the DNS security issues by simulation on the cyber range with customized features, we only need some of them, such as IP address, domain name information, etc. Therefore, the data we need are supposed to be light-weighted and easy to manipulate. Many researchers have designed different schemes to obtain their datasets, such as LDplayer and Thales system. However, existing solutions consume excessive computational resources, which are not necessary for DNS security simulation. In this paper, we propose a light-weighted active data collection method to prepare the datasets for DNS simulation on cyber range. We evaluate the performance of the method and prove that it can collect DNS data in a short time and store the collected data at a lower storage cost. In addition, we give two examples to illustrate how our method can be used in a variety of applications.

Experimental investigation of masonry walls supported by steel plate-masonry composite beams

Deng-Hu Jing,Jian-Fei Chen,Giuseppina Amato,Ting Wu,Shuang-Yin Cao 국제구조공학회 2018 Steel and Composite Structures, An International J Vol.28 No.6

Masonry walls are sometimes removed in buildings to either make new passages or increase the usable space. This may change the loading paths in the structure, and require new beams to transfer the loads which are carried by the masonry walls that are to be removed. One possible method of creating such new beams is to attach steel plates onto part of the existing walls to form a steel plate-masonry composite (SPMC) beam, leading to a new structure with part of the masonry wall supported by a new SPMC beam. This paper presents an experimental investigation into the interaction between the SPMC beam and the masonry wall above. Five SPMC beams supporting a masonry wall were tested to study the influence of parameters including the height-to-span ratio of the masonry wall, height of the beam and thickness of the steel plates. The test results, including failure mode, load-carrying capacity, load-deflection curves and strain distribution, are presented and discussed. It is found that for developing better arching effect in the masonry wall the ratio of the in-plane flexural stiffness of the masonry wall to the flexural stiffness of the SPMC beam must be between 2.8 and 7.1.

Protocatechuic Aldehyde Represses Proliferation and Migration of Breast Cancer Cells through Targeting C-terminal Binding Protein 1

Yu Deng,Wanjun Guo,Guancheng Li,Shuang Li,Hong Li,Xinyan Li,Bei Niu,Mingzhu Song,Yamei Zhang,Zhijian Xu,Fulun Li 한국유방암학회 2020 Journal of breast cancer Vol.23 No.1

Purpose: C-terminal binding protein 1 (CtBP1) is a transcriptional co-repressor that is overexpressed in many cancers. CtBP1 transcriptionally represses a broad array of tumor suppressors, which promotes cancer cell proliferation, migration, invasion, and resistance to apoptosis. Recent studies have demonstrated that CtBP1 is a potential target for cancer therapy. This study was designed to screen for compounds that potentially target CtBP1. Methods: Using a structure-based virtual screening for CtBP1 inhibitors, we found protocatechuic aldehyde (PA), a natural compound found in the root of a traditional Chinese herb, Salvia miltiorrhiza, that directly binds to CtBP1. Microscale thermophoresis assay was performed to determine whether PA and CtBP1 directly bind to each other. Further, clustered regularly interspaced short palindromic repeats associated Cas9 nuclease-mediated CtBP1 knockout in breast cancer cells was used to validate the CtBP1 targeting specificity of PA. Results: Functional studies showed that PA repressed the proliferation and migration of breast cancer cells. Furthermore, PA elevated the expression of the downstream targets of CtBP1, p21 and E-cadherin, and decreased CtBP1 binding affinity for the promoter regions of p21 and E-cadherin in breast cancer cells. However, PA did not affect the expression of p21 and E-cadherin in the CtBP1 knockout breast cancer cells. In addition, the CtBP1 knockout breast cancer cells showed resistance to PA-induced repression of proliferation and migration. Conclusion: Our findings demonstrated that PA directly bound to CtBP1 and inhibited the growth and migration of breast cancer cells through CtBP1 inhibition. Structural modifications of PA are further required to enhance its binding affinity and selectivity for CtBP1.

Association of Methylation of the RAR-β Gene with Cigarette Smoking in Non-Small Cell Lung Cancer with Southern-central Chinese Population

Li, Wen,Deng, Jing,Wang, Shuang-Shuang,Ma, Liang,Pei, Jiang,Zeng, Xiao-Xi,Tang, Jian-Xin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24

Pathogenesis of lung cancer is a complicated biological process including multiple genetic and epigenetic changes. Since cigarette smoking is confirmed as the most main risk factor of non-small cell lung cancer (NSCLC), the aim of this study was to determine whether tobacco exposure plays a role in gene methylation. Methylation of the RAR-${\beta}$ gene were detected using methylation-specific polymerase chain reaction in DNA from 167 newly diagnosed cases with NSCLC and corresponding 105 controls. A significant statistical association was found in the detection rate of the promoter methylation of RAR-${\beta}$ gene between NSCLC and controls ($x^2$=166.01; p<0.01), and hypermethylation of the RAR-${\beta}$ gene was significantly associated with smoking status (p=0.038, p<0.05). No relationship was found between RAR-${\beta}$ gene methylation and pathologic staging including clinical stage, cell type, gender and drinking (p>0.05), and the methylation of RAR-${\beta}$ gene rate of NSCLC was slightly higher in stages III+IV (80.0%) than in I+II (70.8%). Similar results were obtained for methylation of the RAR-${\beta}$ gene between squamous cell carcinoma (77.9%) and other cell type lung cancer (73.9%). These results showed that the frequency of methylation increased gradually with the development of clinical stage in smoking-associated lung cancer patients, and tobacco smoke may be play a potential role in RAR-${\beta}$ gene methylation in the early pathogenesis and process in lung cancer, particularly squamous cell carcinoma. Aberrant promoter methylation is considered to be a promising marker of previous carcinogen exposure and cancer risk.

Prediction of protein-protein interactions based on protein-protein correlation using least squares regression.

Huang, De-Shuang,Zhang, Lei,Han, Kyungsook,Deng, Suping,Yang, Kai,Zhang, Hongbo BENTHAM SCIENCE PUBLISHERS 2014 CURRENT PROTEIN AND PEPTIDE SCIENCE Vol.15 No.6

<P>In order to transform protein sequences into the feature vectors, several works have been done, such as computing auto covariance (AC), conjoint triad (CT), local descriptor (LD), moran autocorrelation (MA), normalized moreaubroto autocorrelation (NMB) and so on. In this paper, we shall adopt these transformation methods to encode the proteins, respectively, where AC, CT, LD, MA and NMB are all represented by '+' in a unified manner. A new method, i.e. the combination of least squares regression with '+' (abbreviated as LSR(+)), will be introduced for encoding a protein-protein correlation-based feature representation and an interacting protein pair. Thus there are totally five different combinations for LSR(+), i.e. LSRAC, LSRCT, LSRLD, LSRMA and LSRNMB. As a result, we combined a support vector machine (SVM) approach with LSR(+) to predict protein-protein interactions (PPI) and PPI networks. The proposed method has been applied on four datasets, i.e. Saaccharomyces cerevisiae, Escherichia coli, Homo sapiens and Caenorhabditis elegans. The experimental results demonstrate that all LSR(+) methods outperform many existing representative algorithms. Therefore, LSR(+) is a powerful tool to characterize the protein-protein correlations and to infer PPI, whilst keeping high performance on prediction of PPI networks.</P>

Score for the Survival Probability in Metastasis Breast Cancer: A Nomogram-Based Risk Assessment Model

Zhenchong Xiong,Guangzheng Deng,Xinjian Huang,Xing Li,Xinhua Xie,Jin Wang,Zeyu Shuang,Xi Wang 대한암학회 2018 Cancer Research and Treatment Vol.50 No.4

Purpose Survival of metastatic breast cancer (MBC) patient remains unknown and varies greatly from person to person. Thus, we aimed to construct a nomogram to quantify the survival probability of patients with MBC. Materials and Methods We had included 793 MBC patients and calculated trends of case fatality rate by Kaplan- Meier method and joinpoint regression. Six hundred thirty-four patients with MBC between January 2004 and July 2011 and 159 patients with MBC between August 2011 and July 2013 were assigned to training cohort and internal validation cohort, respectively. We constructed the nomogram based on the results of univariable and multivariable Cox regression analyses in the training cohort and validated the nomogram in the validation cohort. Concordance index and calibration curves were used to assess the effectiveness of nomogram. Results Case fatality rate of MBC was increasing (annual percentage change [APC], 21.6; 95% confidence interval [CI], 1.0 to 46.3; p < 0.05) in the first 18 months and then decreased (APC, 4.5; 95% CI, 8.2 to 0.7; p < 0.05). Metastasis-free interval, age, metastasis location, and hormone receptor status were independent prognostic factors and were included in the nomogram, which had a concordance index of 0.69 in the training cohort and 0.67 in the validation cohort. Calibration curves indicated good consistency between the two cohorts at 1 and 3 years. Conclusion In conclusion, the fatality risk of MBC was increasing and reached the summit between 13th and 18th month after the detection of MBC. We have developed and validated a nomogram to predict the 1- and 3-year survival probability in MBC.

A Four-Tier Nursing Information Architecture Based on Multimodal Data Fusion Technology

Xiaoli Huang,Meiju Deng,Shuang Xiao 한국간호과학회 2023 한국간호과학회 학술대회 Vol.2023 No.11

Effect of Interface on Mechanical Properties and Stamping Formability of Ti/Al Multilayered Composites

Miao Cao,Hui‑Qin Chen,Kun‐Kun Deng,Xing‑Wang Duan,Shuang Liu,Xin Che,Fei Li 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.5

Ti/Al multilayered composites (LMCs) with 3-layers, 5-layers and 7-layers were prepared by hot‐pressing and hot‐rolling. Theeffects of the interface on the mechanical properties and stamping formability of LMCs were revealed. The results indicatethat the TiAl3phases at the interface thicken gradually with the increase of layers. As the layers of LMCs increases, boththe grain size and the basal texture strength of Ti decrease, and Ti possesses a higher Schmid factors (SF) and more uniformSF distribution, which promotes the overall coordinated deformation of LMCs. The elongation (EL) of LMCs graduallyincreases at the expense of the strength with the increase of layers. The stress–strain transfer across the interface, the releaseof residual stress through interfacial microcracks, and the improvement of the interfacial metallurgical bonding strengthare all conducive to the coordinated deformation between Ti and Al layers, thus the strength of LMCs decreases and theEL enhances. Both the yield strength ratio (σs/σb) and plastic strain ratio (r) decrease, while the strain-hardening exponent(n) increases with the increase of layers of LMCs, which are beneficial to improve the stamping formability of LMCs. Thenumber of interface increases with the increase of layers, which hinders crack propagation. Moreover, the microcracks areeasily induced by the brittle TiAl3phase at the interface, and the main cracks deflect obviously and release part energy inthe form of secondary microcracks, thus delaying the failure of LMCs and improving their stamping formability.

The Relationship between HIF-2α and VEGF with Radiographic Severity in the Primary Osteoarthritic Knee

Zhou Jian-lin,Fang Hong-song,Peng Hao,Deng Shuang,Chen Shen,Li Jian-ping,Qiu Bo,Weng Jin-qing,Liu Feng 연세대학교의과대학 2016 Yonsei medical journal Vol.57 No.3

Purpose: The aim of this study was to determine the relationship of hypoxia-inducible factor-2 (HIF-2α) and vascular endothelial growth factor (VEGF) with radiographic severity in primary osteoarthritis (OA) of the knee. Expression of these two factors in cartilagesamples from OA knee joints was examined at mRNA and protein levels. Materials and Methods: Knee joints were examined using plain radiographs, and OA severity was assessed using the Kellgren and Lawrence (KL) grading system. Specimens were collected from 29 patients (31 knees) who underwent total knee replacementbecause of severe medial OA of the knee (KL grades 3 and 4), 16 patients who underwent knee arthroscopy (KL grade 2), and 5 patients with traumatic knees (KL grade 0). HIF-2α and VEGF expression was quantified by real-time polymerase chain reactionand western blotting. Results: Cartilage degeneration correlated with the radiographic severity grade. OA severity, determined using the Mankin scale, correlated positively with the KL grade (r=0.8790, p<0.01), and HIF-2α and VEGF levels with the radiographic severity of knee OA (r=0.7001, p<0.05; r=0.6647, p<0.05). Conclusion: In OA cartilage, HIF-2α and VEGF mRNA and protein levels were significantly and positively correlated. The expressionof both factors correlated positively with the KL grade. HIF-2α and VEGF, therefore, may serve as biochemical markers as well as potential therapeutic targets in knee OA.