Combined Effects of Six Cytokine Gene Polymorphisms and SNP-SNP Interactions on Hepatocellular Carcinoma Risk in Southern Guangxi, China

Bei, Chun-Hua,Bai, Hua,Yu, Hong-Ping,Yang, Yan,Liang, Qing-Qing,Deng, Ying-Ying,Tan, Sheng-Kui,Qiu, Xiao-Qiang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.16

Cytokine gene single nucleotide polymorphisms (SNPs) are involved in the genesis and progression of hepatocellular carcinoma (HCC). We hypothesized that combined effects of cytokine gene SNPs and SNP-SNP interactions are associated with HCC risk. Six SNPs in cytokine genes (IL-2, IFN-${\gamma}$, IL-$1{\beta}$, IL-6, and IL-10) were genotyped in a study of 720 Chinese HCC cases and 784 cancer-free controls. Although none of these SNPs individually had a significant effect on the risk of HCC, we found that the combined effects of these six SNPs may contribute to HCC risk (OR=1.821, 95% CI=1.078-3.075). This risk was pronounced among smokers, drinkers, and hepatitis B virus carriers. A SNP-SNP interaction between IL-2-330 and IFN-${\gamma}$-1615 was associated with an increased HCC risk (OR=1.078, 95% CI=1.022-1.136). In conclusion, combined effects of SNPs and SNP-SNP interactions in cytokine genes may contribute to HCC risk.

Medical Association Service Pattern of Collaborative Stroke Prevention and Treatment Based on Cloud Computing

Hua Gu,Lei Huang,Bei Xi,QiuLi Qin 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.4

At present, the distribution of China’s medical resources is uneven. Every day big hospitals are overwhelmed. The problem that it’s difficult and expensive for ordinary people to see doctors is becoming a major social host issue. And major chronic diseases are threatening human health. In order to optimize medical resource allocation and provide more efficient services for patients with major chronic diseases, this paper takes stroke as the entry point and proposes a new medical service pattern. Namely, taking stroke patients as the center, medical association collaborates to prevent and treat them. Because cloud computing is dynamic and scalable and in order to expand to other major diseases and attract more medical associations to join when the medical service pattern is mature, this paper uses cloud computing to support the pattern. And this paper details the new medical service pattern, the framework and the service of cloud platform of medical association collaborating to prevent and treat stroke. The pattern can consider the prevention, treatment, rehabilitation, and other aspects of stroke. And it can achieve the circular medical service pattern which centered on stroke patients and can provide better service for stroke patients.

Monitoring of wind turbine blades for flutter instability

Chen, Bei,Hua, Xu G.,Zhang, Zi L.,Basu, Biswajit,Nielsen, Soren R.K. Techno-Press 2017 Structural monitoring and maintenance Vol.4 No.2

Classical flutter of wind turbine blades indicates a type of aeroelastic instability with fully attached boundary layer where a torsional blade mode couples to a flapwise bending mode, resulting in a mutual rapid growth of the amplitudes. In this paper the monitoring problem of onset of flutter is investigated from a detection point of view. The criterion is stated in terms of the exceeding of a defined envelope process of a specific maximum torsional vibration threshold. At a certain instant of time, a limited part of the previously measured torsional vibration signal at the tip of blade is decomposed through the Empirical Mode Decomposition (EMD) method, and the 1st Intrinsic Mode Function (IMF) is assumed to represent the response in the flutter mode. Next, an envelope time series of the indicated modal response is obtained in terms of a Hilbert transform. Finally, a flutter onset criterion is proposed, based on the indicated envelope process. The proposed online flutter monitoring method provided a practical and direct way to detect onset of flutter during operation. The algorithm has been illustrated by a 907-DOFs aeroelastic model for wind turbines, where the tower and the drive train is modelled by 7 DOFs, and each blade by means of 50 3-D Bernoulli-Euler beam elements.

Brain Metabolic Network Redistribution in Patients with White Matter Hyperintensities on MRI Analyzed with an Individualized Index Derived from 18F-FDG-PET/MRI

Ma Jie,Hua Xu-Yun,Zheng Mou-Xiong,Wu Jia-Jia,Huo Bei-Bei,Xing Xiang-Xin,Gao Xin,Zhang Han,Xu Jian-Guang 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.10

Objective: Whether metabolic redistribution occurs in patients with white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is unknown. This study aimed 1) to propose a measure of the brain metabolic network for an individual patient and preliminarily apply it to identify impaired metabolic networks in patients with WMHs, and 2) to explore the clinical and imaging features of metabolic redistribution in patients with WMHs. Materials and Methods: This study included 50 patients with WMHs and 70 healthy controls (HCs) who underwent 18F-fluorodeoxyglucose-positron emission tomography/MRI. Various global property parameters according to graph theory and an individual parameter of brain metabolic network called “individual contribution index” were obtained. Parameter values were compared between the WMH and HC groups. The performance of the parameters in discriminating between the two groups was assessed using the area under the receiver operating characteristic curve (AUC). The correlation between the individual contribution index and Fazekas score was assessed, and the interaction between age and individual contribution index was determined. A generalized linear model was fitted with the individual contribution index as the dependent variable and the mean standardized uptake value (SUVmean) of nodes in the whole-brain network or seven classic functional networks as independent variables to determine their association. Results: The means ± standard deviations of the individual contribution index were (0.697 ± 10.9) x 10-3 and (0.0967 ± 0.0545) x 10-3 in the WMH and HC groups, respectively (p < 0.001). The AUC of the individual contribution index was 0.864 (95% confidence interval, 0.785–0.943). A positive correlation was identified between the individual contribution index and the Fazekas scores in patients with WMHs (r = 0.57, p < 0.001). Age and individual contribution index demonstrated a significant interaction effect on the Fazekas score. A significant direct association was observed between the individual contribution index and the SUVmean of the limbic network (p < 0.001). Conclusion: The individual contribution index may demonstrate the redistribution of the brain metabolic network in patients with WMHs.

Longitudinal Study of Cancer-Related Fatigue in Patients with Colorectal Cancer

Li, Shu-Xia,Liu, Bei-Bei,Lu, Jian-Hua Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.7

Background: Dynamic changes of cancer-related fatigue (CRF) among hospitalized patients with colorectal cancer were determined. Materials and Methods: This longitudinal, descriptive study involved 96 hospitalized patients with colorectal cancer, all recruited from a tertiary general hospital in Guangzhou, China. Patients completed questionnaires three times to assess the degree of fatigue, and measurement points were within one week of admission, at 2 to 3 days after surgery and 3 weeks after surgery. Results: Significant differences among the three measurement points (p<0.01) were observed. The scores of fatigue in the second survey were the highest, followed by the third and first surveys. Colon cancer patient scores were higher than those of rectal cancer patients with a significant difference (p<0.05). Colorectal patients experienced different degrees of fatigue at different periods during hospitalization. Conclusions: This study highlights the importance of interventions that are carefully tailored to patients based on the characteristics at different periods to alleviate fatigue.

miR167c is Induced by High Alkaline Stress and Inhibits Two Auxin Response Factors in Glycine soja

Dekang Lv,Ying Ge,Bei Jia,Xi Bai,Peihua Bao,Hua Cai,Wei Ji,Yanming Zhu 한국식물학회 2012 Journal of Plant Biology Vol.55 No.5

Soil alkalinity is one of the major environmental factors limiting crop productivity worldwide. MicroRNAs (miRNAs) are small (21-25 nucleotides) single-stranded non-coding RNAs that regulate developmental and stress responses in plants by cleaving target mRNAs. However,little is known about the role of miRNAs in the response to alkaline stress. In this study, we identified the miR167c as a high alkaline-responsive miRNAs in wild soybean based on genome microarray and RNA gel blot. The presence of a cisacting abscisic acid (ABA) responsive element (ABRE) in the upstream region and the ABA inducement of primiR167c suggested that miR167c might be regulated by ABA. We also showed that two auxin response factors (ARF),Gs14g03650 and Gs18g05330, were target genes of the alkaline-inducible miR167c and rapidly down-regulated following alkaline treatment. Our results reveal that miR167c regulated the expression pattern of ARFs, which could be vital for both development and stress adaptation.

Recent Progress in Methods of Generating Water Mist for Fire Suppression

( Guang Xuan Liao ),( Xin Huang ),( Bei Hua Cong ),( Jun Qin ),( Jiang Hong Liu ),( Xi Shi Wang ) 한국액체미립화학회 2005 한국액체미립화학회 학술강연회 논문집 Vol.2005 No.-

To prevent the ozonosphere from being destroyed by Halon, it is an urgent task to find out Halon replacement. As one of the replacements water mist have showed broad applications by its advantages: little pollution to environment (not destroying the ozone layer or bring green house effect), extinguishing fire quickly, consuming a small quantity of water and having little damage to the protected objects. The methods of generating water mist strongly influence fire suppression effectiveness, which determine the cone angle, drop size distribution, flux uniformity, and momentum of the generating spray. The traditional water mist nozzle included pressure jet nozzles, impingement nozzles and twin-fluid nozzles. All of them have more or less disadvantages for fire suppression. Therefore, many research institutes and corporations are taking up with innovations in mist generation. This article provided some recent studies in State Key Laboratory of Fire Science (SKLFS) of University of Science and Technology of China. SKLFS have investigated new methods of generating water mist (i.e. effervescent atomization and ultrasonic atomization), and self developed a series of nozzles and developed advanced DPIVS (Digital Particle Image Velocimetry and Sizing) technique. Characteristics of water mist (the distribution of droplet sizes, flux density, spray dynamics and cone angle) produced by these nozzles were measured under different conditions (work pressure, nozzle geometry, etc.) using LDV/APV and DPIVS systems. A series of experiments were performed to study the fire suppression effectiveness in different fire scenario (different kinds of the fuel, fire size and ventilation conditions). The fire extinguishing mechanisms of water mist was also discussed.

Recent Progress in Methods of Generating Water Mist for Fire Suppression

( Guang Xuan Liao ),( Xin Huang ),( Bei Hua Cong ),( Jun Qin ),( Jiang Hong Liu ),( Xi Shi Wang ) 한국분무공학회 2006 한국액체미립화학회지 Vol.11 No.4

Model reduction techniques for high-rise buildings and its reduced-order controller with an improved BT method

Chao-Jun Chen,Jun Teng,Zuo-Hua Li,Qing-Gui Wu,Bei-Chun Lin 국제구조공학회 2021 Structural Engineering and Mechanics, An Int'l Jou Vol.78 No.3

An AMD control system is usually built based on the original model of a target building. As a result, the fact leads a large calculation workload exists. Therefore, the orders of a structural model should be reduced appropriately. Among various model-reduction methods, a suitable reduced-order model is important to high-rise buildings. Meanwhile, a partial structural information is discarded directly in the model-reduction process, which leads to the accuracy reduction of its controller design. In this paper, an optimal technique is selected through comparing several common model-reduction methods. Then, considering the dynamic characteristics of a high-rise building, an improved balanced truncation (BT) method is proposed for establishing its reduced-order model. The abandoned structural information, including natural frequencies, damping ratios and modal information of the original model, is reconsidered. Based on the improved reduced-order model, a new reduced-order controller is designed by a regional pole-placement method. A high-rise building with an AMD system is regarded as an example, in which the energy distribution, the control effects and the control parameters are used as the indexes to analyze the performance of the improved reduced-order controller. To verify its effectiveness, the proposed methodology is also applied to a four-storey experimental frame. The results demonstrate that the new controller has a stable control performance and a relatively short calculation time, which provides good potential for structural vibration control of high-rise buildings.

Elevating Limonene Production in Oleaginous Yeast Yarrowia lipolytica via Genetic Engineering of Limonene Biosynthesis Pathway and Optimization of Medium Composition

Bo-Qian Cheng,Liu-Jing Wei,Yu-Bei Lv,Jun Chen,Qiang Hua 한국생물공학회 2019 Biotechnology and Bioprocess Engineering Vol.24 No.3

As an alternative terpenoid producer, nonconventional oleaginous yeast Yarrowia lipolytica was chosen for limonene production. Y. lipolytica can give high biomass yield and metabolize a broad range of substrates such as glycerol, alkanes, fatty acid, fats, and oils. As previously reported, optimization of limonene synthesis pathway and mevalonate (MVA) pathway leads to the accumulation of 112-fold higher limonene as compared to an initial strain. In this study, we introduced an additional copy of limonene synthesis gene (LS), which resulted in an increase of limonene production. This engineered strain was used to carry out further optimization study. Amongst all the carbon sources tested, the highest level of limonene production was obtained from glycerol, and citrate was selected as an auxiliary carbon source. In fed-batch fermentation with an optimized medium, the engineered strain was found to produce 165.3 mg/L limonene, which corresponds to the highest yield till date for the production of limonene in Y. lipolytica.