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      • Hashing via Efficient Addictive Kernel for Logistics Image Classification

        Xiao-jun Liu,Qiu-ling Li,Bin Zhang,Jun-yi Li 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.2

        In this paper, fast image search with efficient additive kernels and kernel locality-sensitive hashing has been proposed. As to hold the kernel functions, recent work has probed methods to create locality-sensitive hashing , which guarantee our approach’s linear time, however existing methods still do not solve the problem of locality-sensitive hashing (LSH) and indirectly sacrifice the loss in accuracy of search results in order to allow fast queries. To improve the search accuracy, we show how to apply explicit feature maps into the homogeneous kernels, which help in feature transformation and combine it with kernel locality-sensitive hashing. We prove our method on several large datasets, and illustrate that it improve the accuracy relative to commonly used methods and make the task of object classification, content-based retrieval more fast and accurate.

      • KCI등재

        Patterns of Failure and Survival Trends in 3,808 Patients with Stage II Nasopharyngeal Carcinoma Diagnosed from 1990 to 2012: A Large-Scale Retrospective Cohort Study

        Xue-Song Sun,Di-Han Liu,Sai-Lan Liu,Qiu-Yan Chen,Shan-Shan Guo,Yue-Feng Wen,Li-Ting Liu,Hao-Jun Xie,Qing-Nan Tang,Yu-Jing Liang,Xiao-Yun Li,Jin-Jie Yan,Ming-Huang Hong,Jun Ma,Lin-Quan Tang,Hai-Qiang M 대한암학회 2019 Cancer Research and Treatment Vol.51 No.4

        Purpose The purpose of this study was to investigate the survival trends and patterns of failure in patients with stage II nasopharyngeal carcinoma (NPC) treated with radiotherapy (RT) and chemotherapy over the last 20 years. Materials and Methods Thirty-eight hundred and eight patients diagnosed with stage II NPC between January 1990 and December 2012 were involved in this retrospective cohort study. All patients were treated with RT. According to the main imaging techniques and RT technology, we categorized these patients into four calendar periods: 1990-1996, 1997-2002, 2003-2007, and 2008-2012. Overall survival (OS), progression-free survival (PFS), locoregional relapse-free survival (LRFS), and distant metastasis–free survival (DMFS) were served as the clinical outcome. Results After a median follow-up period of 84.7 months, we observed increasing trends in survival and disease control. The 3- and 5-year OS rates increased from 87.1% and 78.7% in the first calendar period to 97.4% and 94.5% in the last calendar period, respectively (p < 0.001). Additionally, significant increasing trends could be seen in the PFS and LRFS during the four calendar periods. In the subgroup analysis, the LRFS in patients older than 50 years at diagnosis showed greater improvement than younger patients. However, the rate of distant metastasis was stable and relatively low, as the 5-year DMFS ranged from 90.5% to 94.7% among the four calendar periods. Conclusion The survival rates in patients with stage II NPC showed increasing trends from 1990 to 2012. The advance of RT provided excellent locoregional control and enhanced OS.

      • Up-regulating of RASD1 and Apoptosis of DU-145 Human Prostate Cancer Cells Induced by Formononetin in Vitro

        Liu, Xiao-Jia,Li, Yun-Qian,Chen, Qiu-Yue,Xiao, Sheng-Jun,Zeng, Si-En Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.6

        Prostate cancer is one of the most prevalent malignant cancers in men. The isoflavone formononetin is a main active component of red clover plants. In the present study, we assessed the effect of formononetin on human prostate cancer DU-145 cells in vitro, and elucidated posssible mechanisms. DU-145 cells were treated with different concentrations of formononetin and cell proliferation was assessed by MTT assay, cell apoptosis by Hoechst 33258 and flow cytometry, and protein levels of RASD1, Bcl-2 and Bax by Western blotting. The results showed that formononetin inhibited the proliferation of DU-145 cells in a dose-dependent manner. DU-145 cells treated with different concentrations of formononetin displayed obvious morphological changes of apoptosis under fluorescence microscopy. In addition, formononetin increased the proportion of early apoptotic DU-145 cells, down-regulated the protein levels of Bcl-2 and up-regulated those of RASD1 and Bax. The level of RASD1 reached its maximum at 48h post-treatment, and rapidly decreased thereafter. Together, we present evidence that formononetin triggered cell apoptosis through the mitochondrial apoptotic pathway by up-regulating RASD1.

      • SCIESCOPUSKCI등재

        A multi-layer approach to DN 50 electric valve fault diagnosis using shallow-deep intelligent models

        Liu, Yong-kuo,Zhou, Wen,Ayodeji, Abiodun,Zhou, Xin-qiu,Peng, Min-jun,Chao, Nan Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.1

        Timely fault identification is important for safe and reliable operation of the electric valve system. Many research works have utilized different data-driven approach for fault diagnosis in complex systems. However, they do not consider specific characteristics of critical control components such as electric valves. This work presents an integrated shallow-deep fault diagnostic model, developed based on signals extracted from DN50 electric valve. First, the local optimal issue of particle swarm optimization algorithm is solved by optimizing the weight search capability, the particle speed, and position update strategy. Then, to develop a shallow diagnostic model, the modified particle swarm algorithm is combined with support vector machine to form a hybrid improved particle swarm-support vector machine (IPs-SVM). To decouple the influence of the background noise, the wavelet packet transform method is used to reconstruct the vibration signal. Thereafter, the IPs-SVM is used to classify phase imbalance and damaged valve faults, and the performance was evaluated against other models developed using the conventional SVM and particle swarm optimized SVM. Secondly, three different deep belief network (DBN) models are developed, using different acoustic signal structures: raw signal, wavelet transformed signal and time-series (sequential) signal. The models are developed to estimate internal leakage sizes in the electric valve. The predictive performance of the DBN and the evaluation results of the proposed IPs-SVM are also presented in this paper.

      • SCOPUSKCI등재

        Synthesis, Structure and Biological Properties of a Novel Copper (II) Supramolecular Compound Based on 1,2,4-Triazoles Derivatives

        Qiu, Guang-Mei,Wang, Cui-Juan,Zhang, Ya-Jun,Huang, Shuai,Liu, Xiao-Lei,Zhang, Bing-Jun,Zhou, Xian-Li Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.8

        A novel mononuclear supramolecule of copper(II) has been synthesized with Ippyt ligand (Ippyt=3-(4'-imidazole phenyl)-5-(pyrid-2''-yl)-1,2,4-triazole) (1). Compound 1, namely [$Cu(Ippyt)_2(H_2O)_2$], has been characterized by single-crystal X-ray diffraction, IR spectrum, elemental analysis and thermogravimetric analysis. Structure determination reveals that the elongated-octahedral geometry is formed in the vicinity of the copper (II) atom being coordinated by four nitrogen atoms from two Ippyt ligands occupying the equatorial position and two oxygen atoms from two coordinated water molecules in the axial position, which together form the $N_4O_2$ donor set. Hydrogen bonding interactions between nitrogen and oxygen atoms result in the set up of a supramolecular network architecture. Biological properties including antibacterial activity and superoxide dismutase (SOD) mimetic activity of compound 1 have been investigated by agar diffusion method and the modified Marklund method, respectively. The results indicate that compound 1 exhibits a stronger antibacterial efficiency than the parent ligand and it also has a certain radical-scavenging activity.

      • Cyr61/CCN1 Overexpression Induces Epithelial-Mesenchymal Transition Leading to Laryngeal Tumor Invasion and Metastasis and Poor Prognosis

        Liu, Ying,Zhou, Yan-Dong,Xiao, Yu-Li,Li, Ming-Hua,Wang, Yu,Kan, Xuan,Li, Qiu-Ying,Lu, Jian-Guang,Jin, De-Jun Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.7

        Background: To examine the expression of cysteine-rich 61 (Cyr61/CCN1) protein in laryngeal squamouscell carcinoma (LSCC) tissues, and its relationship with the tumor epithelial-mesenchymal transition (EMT), invasion, metastasis, and prognosis. Materials and Methods: Immunohistochemistry was used to detect the expressions of Cyr61, Vimentin (Vim), and E-cadherin (E-cad) in 88 cases of LSCC tissues and 30 cases of tumor-adjacent normal tissues. Vim and E-cad were used as mesenchymal and epithelial markers, respectively, to determine the relationship between Cyr61 expression and the EMT of LSCC cells. In addition, clinical and histopathological data were combined to analyze the relationship between the positive-expression rates of Cyr61, Vim and E-cad and LSCC invasion, metastasis and prognosis. Results: In LSCC tissues, Vim expression rate was significantly higher than that of the tumor-adjacent tissues, whereas E-cad expression rate was significantly lower than that of the tumor-adjacent tissues. The Vim expression rate was significantly higher in stages T3 and T4 than in stages T1 and T2 LSCC tissues, whereas E-cad expression rate was significantly lower in stages T3 and T4 than in stages T1 and T2 LSCC tissues. Compared to the group without lymph node metastasis, the Vim expression rate was significantly higher and the E-cad expression rate was significantly lower in the group with lymph node metastasis. The expression rate of Cyr61 was significantly higher in LSCC tissues than in the tumor-adjacent normal tissues. In addition, the Cyr61 expression rate was higher in stages T3 and T4 than in stages T1 and T2 LSCC, and higher in the group with lymph node metastasis than in the group without lymph node metastasis. The Vim expression rate was significantly higher in the Cyr61 positive group than in the Cyr61 negative group, whereas the E-cad expression rate was significantly higher in the Cyr61 negative group than in the Cyr61 positive group. Survival analysis indicated that survival rates of Cyr61 positive, Vim positive and E-cad negative groups were significantly lower than that of Cyr61 negative, Vim negative and E-cad positive groups, respectively. Conclusions: Cyr61 expression is closely associated with LSCC invasion and lymph node metastasis. Overexpression of Cyr61 may induce EMT and therefore leads to LSCC invasion and metastasis and poor prognosis. Cyr61 may become a new maker for clinical prediction of LSCC invasion and metastasis and a new target for LSCC treatment.

      • KCI등재

        Comparison of Oncoplastic Breast-Conserving Surgery and Breast- Conserving Surgery Alone: A Meta-Analysis

        Jun-Ying Chen,Yi-Jie Huang,Liu-Lu Zhang,Ci-Qiu Yang,Kun Wang 한국유방암학회 2018 Journal of breast cancer Vol.21 No.3

        Purpose: The use of oncoplastic reconstruction for breastconserving surgery (BCS) extends benefits beyond merely minimizing poor cosmetic results. However, the feasibility and oncological safety of oncoplastic surgery (OPS) are controversial. Methods: This meta-analysis aimed to compare the short-term and long-term oncological outcomes of BCS alone and BCS plus OPS. Relevant studies published before July 2017 in the Embase, the Cochrane Library, PubMed, and Web of Science databases were screened and collected. The meta-analysis was performed using STATA software (Stata Corp.). Results: A total of 3,789 patients from 11 studies were included, with 2,691 patients in the BCS-alone group and 1,098 patients in the BCS plus OPS group. The demographics were similar between both groups, and no significant difference was observed in pathological T and N stages between the two groups. Re-excision was less common (relative risk [RR], 0.66; p=0.009) and the positive-margin rate was lower, but not significantly (RR, 0.83; p=0.191), in the BCS plus OPS group than in the BCS-alone group. The local and distal recurrence rates were similar in both groups. Both disease-free survival (hazard ratio [HR], 1.19; 95% confidence interval [CI], 0.96– 1.49; p=0.112) and overall survival (HR, 1.14; 95% CI, 0.76– 1.69; p=0.527) did not differ between the two groups. Conclusion: A combination of BCS and OPS is preferred over BCS alone for decreasing re-excisions and provides similar long-term survival as BCS alone in patients with breast cancer.

      • KCI등재

        Total Flavonoid Extract from Abelmoschus manihot (L.) Medic Flowers Attenuates d-Galactose-Induced Oxidative Stress in Mouse Liver Through the Nrf2 Pathway

        Yan Qiu,Peng-Fei Ai,Jian-Jun Song,Chang Liu,Zhi-Wei Li 한국식품영양과학회 2017 Journal of medicinal food Vol.20 No.6

        Abelmoschus manihot (L.) Medic is an edible hibiscus that is rich in flavonoids, and its use as Chinese herbal medicine for the treatment of diseases and health maintenance dates back to ancient times. The chemical compositions of total flavonoid of A. manihot (L.) Medic flower extract (TFAE) were identified and determined by high performance liquid chromatography (HPLC). The effects of TFAE on antioxidative activities in a d-galactose (d-gal)-induced mouse model and Nrf2-mediated antioxidant responses were evaluated. Male Kunming mice were randomly divided into normal control group, d-gal aging model group, d-gal+ascorbic acid group that served as a positive control, and d-gal+TFAE (40, 80, and 160 mg TFAE/kg) group. After 42 days, the antioxidant effects of these treatments were determined by biochemical studies, Western blotting, quantitative real-time polymerase chain reaction, and histological analysis. The results showed that the groups administered TFAE exhibited significant elevation in liver activities of antioxidant enzymes, including catalase (CAT), glutathione peroxidase (GPx), superoxide dismutase (SOD), and total antioxidant capacity (T-AOC), and decreased malondialdehyde (MDA) production in a dose-dependent manner compared with the d-gal-induced model group. Expression of Nrf2 and its target antioxidants (HO-1 and NQO1) was manifestly increased by TFAE treatment. TFAE also increased mRNA expression of GPx, SOD, and CAT and decreased tumor necrosis factor-alpha (TNF-α) and interleukin-1 beta (IL-1β). Furthermore, the microstructure of livers in TFAE-administered mice was obviously improved as compared with the d-gal model group. These results suggest that TFAE protects mice against d-gal-induced oxidative stress, and the effect is related to the activation of Nrf2 signaling.

      • Lack of Effects of HER-2/neu on Prognosis in Colorectal Cancer: a Meta-analysis

        Han, Jun,Meng, Qing-Yang,Liu, Xiao,Xi, Qiu-Lei,Zhuang, Qiu-Lin,Wu, Guo-Hao Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.14

        Background: The prognostic value of human epidermal growth factor receptor-2 (HER-2/neu) for survival of patients with colorectal cancer (CRC) is still ambiguous. We therefore performed a meta-analysis to evaluate its prognostic significance. Materials and Methods: We searched the MEDLINE and EMBASE databases for published literature investigating associations between HER-2/neu status and overall survival of patients with CRC. A meta-analysis was performed using a DerSimonian-Laird model and publication bias was investigated by Begg's and Egger's tests. Subgroup analysis was also conducted according to the study design type, study quality score, cut-off value for HER-2/neu overexpression, publication region, patient number and publication year. Results: A total of 17 eligible studies involving 2,347 patients were identified for this meta-analysis. The combined hazard ratio (HR) was 1.31 (95% confidence interval (CI): 0.96-1.79), suggesting that HER-2/neu overexpression was not significantly associated with overall survival of patients with CRC. However, subgroup analysis revealed that HER-2/neu overexpression had an unfavorable impact on survival when the analysis was restricted to subgroups of study quality score ${\leq}5 $(HR=1.56, 95%CI: 1.17-2.10), Asian patients (HR=1.74, 95%CI: 1.22-2.49), patient number ${\leq}106$ (HR=1.57, 95%CI: 1.01-2.44), publication year before 2003 (HR=1.59, 95%CI: 1.02-2.49), and prospectively designed study (HR=3.62, 95%CI: 1.42-9.24). The effect disappeared in subgroups of study quality scores > 5 (HR=0.69, 95%CI: 0.33-1.44), non Asian patients (HR=1.14, 95%CI: 0.77-1.70), patients' number > 106 (HR=1.07, 95%CI: 0.67-1.72), publication year after 2003 (HR=1.13, 95%CI: 0.76-1.69), and retrospectively designed study (HR=1.22, 95%CI: 0.89-1.67). Conclusions: Our meta-analysis suggests that HER-2/neu overexpression might not be a significantly prognostic indicator for patients with CRC. Further studies are required to confirm these results.

      • Using artificial intelligence to solve a smart structure problem

        Kaiwen Liu,Jun Gao,Ruizhe Qiu 국제구조공학회 2023 Structural Engineering and Mechanics, An Int'l Jou Vol.85 No.3

        Smart structures are those structure that could adopt some behavior to prevent instability in their responses. The recognition of stability deterioration has been performed through rigid mathematical formulations in control theory and unpredicted results could not be addressed in control systems since they are able to only work under their predefined condition. On the other hand, incorporating all affecting parameters could result in high computational cost and delay time in the response of the systems. Artificial intelligence (AI) method has shown to be a promising methodology not only in the computer science by at everyday life and in engineering problems. In the present study, we exploit the capabilities of artificial intelligence method to obtain frequency response of a smart structure. In this regard, a comprehensive development of equations is presented using Hamilton’ principle and first order shear deformation theory. The equations were solved by numerical methods and the results are used to train an artificial neural network (ANN). It is demonstrated that ANN modeling could provide accurate results in comparison to the numerical solutions and it take less time than numerical solution.

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