Design and Preparation of Magnetic CTAB/Montmorillonite Nanocomposite for Phenols Removal

Rong Shen,Yichang Yu,Yue Wang,Zhining Xia 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.10

The cetyltrimethyl ammonium bromide (CTAB)-modified montmorillonite (MMT) was synthesized via a novel "dissolution and reassembly" method. To determine the optimal formula, the adsorption of C.I. Reactive Red 2 (X3B) with CTAB/MMT was investigated. The optimal CTAB/MMT nanocomposite was used to remove 2,6-dichlorophenol and p-nitrophenol from aqueous solutions. The adsorption results can be described by Langmuir isotherm, and the adsorption capacities were 200 mg/g and 125 mg/g for 2,6-dichlorophenol and p-nitrophenol, respectively. To realize the quick separation and recycle, the magnetic CTAB/MMT was further strategized and synthesized. The adsorption equilibrium time was 15 min for both contaminants; the ions' strength showed a little bit of influence on the adsorption performance. In addition, compared with acidic condition, neutral condition was more beneficial to the adsorption reaction. Due to the addition of Fe3O4, the adsorption capacities of this magnetic nanocomposite for 2,6-dichlorophenol and p-nitrophenol were a little bit decreased, which were 170 mg/g and 91 mg/g, respectively. However, the magnetic nanocomposite can be separated within 30s under an external magnetic field, which would be useful in the practical application.

Modeling Age-specific Cancer Incidences Using Logistic Growth Equations: Implications for Data Collection

Shen, Xing-Rong,Feng, Rui,Chai, Jing,Cheng, Jing,Wang, De-Bin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22

Large scale secular registry or surveillance systems have been accumulating vast data that allow mathematical modeling of cancer incidence and mortality rates. Most contemporary models in this regard use time series and APC (age-period-cohort) methods and focus primarily on predicting or analyzing cancer epidemiology with little attention being paid to implications for designing cancer registry, surveillance or evaluation initiatives. This research models age-specific cancer incidence rates using logistic growth equations and explores their performance under different scenarios of data completeness in the hope of deriving clues for reshaping relevant data collection. The study used China Cancer Registry Report 2012 as the data source. It employed 3-parameter logistic growth equations and modeled the age-specific incidence rates of all and the top 10 cancers presented in the registry report. The study performed 3 types of modeling, namely full age-span by fitting, multiple 5-year-segment fitting and single-segment fitting. Measurement of model performance adopted adjusted goodness of fit that combines sum of squred residuals and relative errors. Both model simulation and performance evalation utilized self-developed algorithms programed using C# languade and MS Visual Studio 2008. For models built upon full age-span data, predicted age-specific cancer incidence rates fitted very well with observed values for most (except cervical and breast) cancers with estimated goodness of fit (Rs) being over 0.96. When a given cancer is concerned, the R valuae of the logistic growth model derived using observed data from urban residents was greater than or at least equal to that of the same model built on data from rural people. For models based on multiple-5-year-segment data, the Rs remained fairly high (over 0.89) until 3-fourths of the data segments were excluded. For models using a fixed length single-segment of observed data, the older the age covered by the corresponding data segment, the higher the resulting Rs. Logistic growth models describe age-specific incidence rates perfectly for most cancers and may be used to inform data collection for purposes of monitoring and analyzing cancer epidemic. Helped by appropriate logistic growth equations, the work vomume of contemporary data collection, e.g., cancer registry and surveilance systems, may be reduced substantially.

Health-related Quality of Life among Breast Cancer Patients and its Influencing Factor in a Chinese Population

Shen, Fang-Rong,Liu, Ming,Zhang, Xia,Feng, Ya-Hong,Zhou, Long-Shu,Chen, You-Guo Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.8

Aim: The aim of this study was to investigate the quality of life (QOL) of breast cancer patients by using the Functional Assessment of Cancer Therapy-Breast (FACT-B) questionnaires. Methods: A total of 522 adult patients who were admitted to our hospital with breast cancer were collected during the period of Jun. 2007 to Dec. 2009. Results: Our FACT-B questionnaire study suggested that women below 50 years old, employed, higher education and annual income, lower TNM stage and receiving modified radical mastectomy manifested significantly better QOL using the assessment tool of the FACT-B subscale. Moreover, regression analysis indicated patients with young age, low stage cancer, high education and income were more likely to have high score of QOL, with ORs (95% CI) of 2.8 (1.52-4.56), 2.1 (1.15-3.95), 3.1 (1.45-5.12) and 3.54 (1.54-5.43), respectively. Conclusions: Our study showed younger age, lower stage of cancer, higher education and income could influence the QOL of breast cancer patients in our Chinese population. Further large sample studies are still needed for confirmation.

Refining and Validating a Two-stage and Web-based Cancer Risk Assessment Tool for Village Doctors in China

Shen, Xing-Rong,Chai, Jing,Feng, Rui,Liu, Tong-Zhu,Tong, Gui-Xian,Cheng, Jing,Li, Kai-Chun,Xie, Shao-Yu,Shi, Yong,Wang, De-Bin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24

The big gap between efficacy of population level prevention and expectations due to heterogeneity and complexity of cancer etiologic factors calls for selective yet personalized interventions based on effective risk assessment. This paper documents our research protocol aimed at refining and validating a two-stage and web-based cancer risk assessment tool, from a tentative one in use by an ongoing project, capable of identifying individuals at elevated risk for one or more types of the 80% leading cancers in rural China with adequate sensitivity and specificity and featuring low cost, easy application and cultural and technical sensitivity for farmers and village doctors. The protocol adopted a modified population-based case control design using 72, 000 non-patients as controls, 2, 200 cancer patients as cases, and another 600 patients as cases for external validation. Factors taken into account comprised 8 domains including diet and nutrition, risk behaviors, family history, precancerous diseases, related medical procedures, exposure to environment hazards, mood and feelings, physical activities and anthropologic and biologic factors. Modeling stresses explored various methodologies like empirical analysis, logistic regression, neuro-network analysis, decision theory and both internal and external validation using concordance statistics, predictive values, etc..

Bio-Frontier Symposium : Functional Proteomics and Biomarkers ; Quantitative proteomics: to label or not to Label?

( Rong Fong Shen ) 한국생화학분자생물학회 (구 한국생화학회) 2006 생화학분자생물학회 춘계학술발표논문집 Vol.2006 No.-

Response Modification Factor and Displacement Amplification Factor of Y-Shaped Eccentrically Braced High-Strength Steel Frames

Li Shen,Li Rong-Rong,Wang De-Fa,Pan Xiu-Zhen,Guo Hong-Chao 한국강구조학회 2021 International Journal of Steel Structures Vol.21 No.5

A Y-shaped eccentrically braced high-strength steel frame is a novel structure. For such structure to exhibit good plastic deformation ability under severe earthquake, the links are made of ordinary steel ( f y ≤ 345 MPa), whereas high-strength steel ( f y ≥ 460 MPa) is used in the frame beam and column to reduce the cross section while ensuring the elasticity of the non-energy consuming component. The new structure has good ductility and energy-dissipating capacity. The response modifi cation factor R is crucial to the performance-based seismic design. For an appropriate and economical seismic design, the R value should be reasonably selected. In the 2016 edition of China's code for Seismic Design of Buildings (GB50011- 2010), it is obviously not reasonable to hide the R concept and adopt a constant value for all structural systems. It is important to study R and C d of a Y-shaped eccentrically braced high-strength steel frame, it can not only improve the structural performance design, but also provide reference for the future, and promotes the application of the structure in seismic areas, which presents excellent seismic performance. Therefore, in this study, structures with diff erent stories (4, 8, 12, and 16 stories) and link lengths (700, 900, and 1100 mm) were designed via the performance-based seismic design method. A static elastic–plastic analysis (Pushover analysis) and an incremental dynamic analysis (IDA) were conducted and the data thus obtained was fi tted to reach the IDA performance curve of the structure. The R and C d value of each prototype were calculated using the capability spectrum method, the number of structural story N and the link length e is considered. The results of the pushover analysis and IDA were compared; the values of each performance coeffi cient obtained can serve as a reference for the performance design of the new structural systems in the future.

In vivo Pharmacokinetics, Activation of MAPK Signaling and Induction of Phase II/III 911Drug Metabolizing Enzymes/Transporters by Cancer Chemopreventive CompoundBHA in the Mice

Rong Hu,Guoxiang Shen,Usha Rao Yerramilli,Wen Lin,Changjiang Xu,Sujit Nair,Ah-Ng Tony Kong 대한약학회 2006 Archives of Pharmacal Research Vol.29 No.10

Phenolic antioxidant butylated hydroxyanisole (BHA) is a commonly used food preservative with broad biological activities, including protection against chemical-induced carcinogenesis, acute toxicity of chemicals, modulation of macromolecule synthesis and immune response, induction of phase II detoxifying enzymes, as well as its undesirable potential tumor-promoting activities. Understanding the molecular basis underlying these diverse biological actions of BHA is thus of great importance. Here we studied the pharmacokinetics, activation of signaling kinases and induction of phase II/III drug metabolizing enzymes/transporter gene expression by BHA in the mice. The peak plasma concentration of BHA achieved in our current study after oral administration of 200 mg/kg BHA was around 10 μM. This in vivo concentration might offer some insights for the many in vitro cell culture studies on signal transduction and induction of phase II genes using similar concentrations. The oral bioavailability (F) of BHA was about 43% in the mice. In the mouse liver, BHA induced the expression of phase II genes including NQO-1, HO-1, γ-GCS, GST-pi and UGT 1A6, as well as some of the phase III transporter genes, such as MRP1 and Slco1b2. In addition, BHA activated distinct mitogen-activated protein kinases (MAPKs), c-Jun N-terminal kinase (JNK), extracellular signal-regulated protein kinase (ERK), as well as p38, suggesting that the MAPK pathways may play an important role in early signaling events leading to the regulation of gene expression including phase II drug metabolizing and some phase III drug transporter genes. This is the first study to demonstrate the in vivo pharmacokinetics of BHA, the in vivo activation of MAPK signaling proteins, as well as the in vivo induction of Phase II/III drug metabolizing enzymes/transporters in the mouse livers.

Real-Time Location Algorithm of Node Based on Anchor Node

Shen Xibing,Wei Rong,Yang Yi 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.4

For traditional RSS location method has higher requirements of environmental factors, the workload in the design and calibration and operation phase is great and efficiency is lower, so it put forward a kind of wireless sensor network localization algorithm based on online calibration modeling of RSS anchor node. First of all, to filter the anchor nodes with weak signal and large uncertainty by using the standard deviation threshold method, and make on-line modeling on the relationship between the distance of anchor node and the unknown node and received signal strength. Secondly, using the cycle calibration way for real-time correction of the on-line model, then locate the unknown node by using the weighted average method, thus establish adaptive mechanism of the environmental factors to realize the real-time accurate positioning of the node. Finally, through simulation to indicate this method can effectively locate the unknown nodes in wireless sensor network and its precision meets the requirements, algorithm is simple and easy to implement with practical application value.

MapReduce Based Remote Sensing Image Retrieval Algorithm

Shen Xibing,Wei Rong,Yang Yi 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.8

The remote sensing images are massively stored, so it is difficult for the traditional single-node mode to meet the real-time requirement for remote sensing image retrieval. In order to improve remote sensing image retrieval efficiency and accuracy, a kind of feature information MapReduce based remote sensing image retrieval algorithm is proposed in this article. Specifically, the color features and the texture features of the remote sensing image are firstly extracted, and then Map function is adopted to calculate the similarity between the remote sensing image to be retrieved and the image in the feature library according to the color features and the texture features, and finally Reduce function is adopted to collect the intermediate results of various node tasks and the remote sensing images are ranked by a descending order according to the similarity in order to obtain the remote sensing image retrieval result. The test result shows that the proposed algorithm can rapidly and accurately retrieve the remote sensing image, thus not only improving the remote sensing image retrieval efficiency, but also improving the remote sensing image retrieval accuracy.

CCCTC-Binding Factor Controls Its Own Nuclear Transport via Regulating the Expression of Importin 13

Rong Wang,Xudong Zhu,Jingjing Shen,Peitang Huang 한국분자세포생물학회 2013 Molecules and cells Vol.35 No.5

CCCTC-binding factor (CTCF), a multivalent zinc-finger protein, is involved in different aspects of regulation including promoter activation or repression, gene silencing, chromatin insulation, gene imprinting, X-chromosome inactivation, cell growth or differentiation and tumor genesis. However, the molecular mechanisms of CTCF nuclear import remains unclear. In this study, we showed that the expression of CTCF influenced the intracellular distribution of itself, which might go through transport receptor -import 13 (IPO13). We further confirmed that there is a CTCF target site in ipo13 -774~-573 bp promoter region and CTCF regulates the expression of IPO13. Besides, GST pull-down and Co-IP experiments demonstrated that CTCF interacts with IPO13. Immunofluorescence staining showed that IPO13 influenced intracellular distribution of CTCF. In all, we conclude that CTCF regulates the expression of IPO13, which, in turn, mediates the nuclear import of CTCF.