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Search Results: 1 - 10 of 15542 matches for " SHEN Shuai "
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An Algorithm for Medical Imagining Compression That Is Oriented to ROI-Characteristics Protection  [PDF]
Renjun Shuai, Yang Shen, Jing Pan
Journal of Applied Mathematics and Physics (JAMP) , 2015, DOI: 10.4236/jamp.2015.37106
Abstract: In order to protect the ROI (region of interest) characteristics while greatly improving medical imaging compression ratio, we are proposing an algorithm for medical imagining compression that is oriented to ROI-characteristics protection. Firstly, an improved ROI segmentation algorithm is put forward based on the analysis of the ROI segmentation. Then, after the ROI segmented, the ROI edge is extracted and encoded with Freeman chain coding. Finally, the ROI is compressed by lossless compression with shearlet; the ROB (region of background) is compressed by the method of high ratio lossy compression combining with Wavelet and Fractal. Simulation results show that the ROI is segmented precisely. It holds edge integrity and has high quality reconstruction processed by the presented method, helping protect ROI characteristics while greatly improving the compression ratio.
Effects of Qing’E Formula on the Expression of Bone Metabolic Markers and VDR mRNA in Postmenopausal Osteoporosis Patients  [PDF]
Bo Shuai, Yanping Yang, Lin Shen, Hui Ke
Chinese Medicine (CM) , 2014, DOI: 10.4236/cm.2014.53018
Abstract:
Objectives: To study the partial mechanism of treating postmenopausal osteoporosis patients (POPs) using the ancient recipe of Qing’E Formula (QEF) by observing its effects on bone metabolic markers and VDR mRNA expression in primary POPs. Methods: Analysis was performed on 120 outpatient and inpatient POPs treated in our hospital between January and October 2013, where the patients were randomly divided into Qing’E group (QEF + Caltrate), Calcitriol group (Caltrate + Calcitriol soft capsules), and Compare group (Caltrate), each with a follow-up period of 1 year. Statistical analysis was then performed on bone mineral density, blood bone metabolic markers (β-CTX, N-MID, T-PINP) and changes in VDR mRNA expressions in the POPs before and after the treatments. Results: Prior to the treatments, bone mineral density and blood β-CTX, N-MID, T-PINP and VDR mRNA expression in the 3 groups of POPs exhibited no statistically significant differences, and the blood β-CTX, N-MID, T-PINP and VDR mRNA expression in the control group showed no statistically significant differences before and after the treatments. There were no significant differences in bone mineral density in the Qing’E group and the Calcitriol group before and after the treatments whereas the bone mineral density decreased in the control group after the treatments. As for blood β-CTX, N-MID, T-PINP and VDR mRNA expression, the measurements in POPs in the Qing’E group and the Calcitriol group were significantly higher than that of the control group. Conclusion: By adjusting the VDR mRNA expression, the QEF, a kidney-invigorating Chinese herbal formula, is capable of activating bone metabolism to prohibit further losses of bone mass, thereby preventing the deterioration of osteoporosis.
Effect of Qing’e Pill plus Salvia on Non-Traumatic Osteonecrosis of the Femoral Head of Idiopathic Type in Earlier Stage: A Case Report of a Twelve-Month of Period  [PDF]
Bo Shuai, Yanping Yang, Lin Shen, Manxiang Wu
Chinese Medicine (CM) , 2014, DOI: 10.4236/cm.2014.52013
Abstract:
Background: Compromised circulatory and bone/lipid metabolic dysfunction are two major contributors to non-traumatic osteonecrosis of the femoral head (ONFH). Qinge pill plus Salvia has significant anti-inflammatory and anti-atherosclerotic action, and it could also regulate bone formation and remodeling by suppressing osteoclasts. Case Report: We describe a case of a 62-year- old man with ONFH of idiopathic type in earlier stage that could not be adequately controlled with oral non-steroidal analgesics and restoring bone loss agents for past 3 years. After six months treatment with Qinge pill plus Salvia, the plasma low-density lipoprotein (LDL), high-density lipoprotein (HDL), apolipoprotein A1 (apo A1), apolipoprotein B (apo B), total cholesterol (TC), triglycerides (TG), and blood viscosity were measured on an empty stomach. The Harris scores were maintained during a six months follow-up after discontinuation of Qinge pill plus Salvia. Discussion: Our case has shown that plasma levels of inflammatory and atherosclerotic relaxed factors and the Harris scores may be controlled with herbal medication in ONFH of idiopathic type in earlier stage that could not be adequately controlled with oral non-steroidal analgesics and restoring bone loss agents.
Association between the methylenetetrahydrofolate reductase C677T polymorphism and hepatocellular carcinoma risk: a meta-analysis
Fei Jin, Li-Shuai Qu, Xi-Zhong Shen
Diagnostic Pathology , 2009, DOI: 10.1186/1746-1596-4-39
Abstract: The meta-analysis of C677T consisted of 10 studies (1814 cases/2862 controls). The association was measured by using random-effect (RE) or fixed-effect (FE) odds ratio (OR) combined with 95% confidence intervals (CIs) according to the studies' heterogeneity.Using genetic model analysis, C677T polymorphism was found to increase the risk of HCC in a complete overdominant model, which indicates that heterozygotes CT are at a lesser risk of HCC than either homozygotes CC or TT. Meta-analyses of the 10 studies showed that the TT genotype increased the risk of HCC as compared to the CT genotype: FE OR was 1.20 (95%CI: 1.00-1.45, p for heterogeneity = 0.21). When subgroup analysis was done between the HCC cases and the chronic liver disease (CLD) patients of four studies, meta-analysis showed that individuals with the TT genotype had increased HCC risk compared with those with the CT genotype: FE OR (TT vs. CT) reached 1.81 (1.22-2.71, p for heterogeneity = 0.25). Meanwhile, the C677T polymorphism also increased HCC risk in a recessive model when cases were compared to CLD patients of four studies: RE OR reached 1.85 (95%CI: 1.00-3.42, p for heterogeneity = 0.06). Overall, there was some extent heterogeneity when analyses were performed in various models. There was no publication bias.MTHFR C677T polymorphism increased the risk of HCC in an overdominant model, and might be a risk factor for HCC occurrence, especially in CLD patients. The association warranted further studies.Hepatocellular carcinoma (HCC) is the fifth most common cancer in the world and the third leading cause of cancer deaths [1]. Genetic variation has been postulated to influence the variable risk for HCC observed both within and across populations. Because the liver is the main metabolizing organ and plays an important role in the detoxification or activation of carcinogens, metabolizing enzyme genes have become the best HCC candidate genes. These metabolizing enzymes include cytochrome P450 2E1 (CYP2E1
Association between C282Y and H63D mutations of the HFE gene with hepatocellular carcinoma in European populations: a meta-analysis
Fei Jin, Li-Shuai Qu, Xi-Zhong Shen
Journal of Experimental & Clinical Cancer Research , 2010, DOI: 10.1186/1756-9966-29-18
Abstract: The association was measured using random-effect (RE) or fixed-effect (FE) odds ratios (ORs) combined with 95% confidence intervals (CIs) according to the studies' heterogeneity.Meta-analysis of nine studies showed that Y allele of C282Y was associated with HCC risk: RE OR reached 1.50 (95%CI: 1.05-2.14, p for heterogeneity = 0.02, I2 = 0.57). Subgroup analysis of seven studies also showed Y allele was associated with HCC risk in healthy populations: RE OR reached 1.61 (95%CI: 1.08-2.39, p for heterogeneity = 0.04, I2 = 0.55). We further did subgroup analysis in alcoholic liver cirrhosis (LC) patients of four studies (224 cases and 380 controls) and found that both the dominant model and Y allele of C282Y were associated with HCC risk (FE OR reached 4.06, 95%CI: 2.08-7.92 and 3.41, 95%CI: 1.81-6.41, respectively). There was no distinct heterogeneity among the studies (I2 = 0). Sensitivity analyses showed the results were robust in the subgroup analysis of alcoholic LC patients.C282Y mutation was associated with HCC in European alcoholic LC patients.Hepatocellular carninoma (HCC) is the fifth most common cancer in the world and the third most common cause of cancer mortality [1]. Hereditary hemochromatosis (HH) is an autosomal recessive genetic condition in which excess iron is absorbed by the intestine and deposited throughout the body [2]. If untreated, affected individuals may accumulate excess iron over the many years of their adult life, and this causes progressive tissue damage [3]. It has been reported that HH may result in many diseases, including liver disease (fibrosis, cirrhosis, and hepatocellular carcinoma). Some studies reported that liver disease was the most common cause of death of patients with HH [4,5].In 1996, Feder and colleagues [6] showed that homozygosity for mutation (C282Y, G>A, rs1800562) in the HFE gene was responsible for the majority of cases of typical phenotypic HH. The frequency of the second variant (H63D, C>G, rs1799945) is also inc
Bis(μ-2-{[2-(1,3-benzothiazol-2-yl)hydrazinylidene]methyl}-6-methoxyphenolato)bis[dinitratodysprosium(III)] methanol disolvate
Xuebin Xu,Shuai Ding,Si Shen,Jinkui Tang
Acta Crystallographica Section E , 2011, DOI: 10.1107/s1600536811019118
Abstract: In the centrosymmetric dinuclear title compound, [Dy2(C15H12N3O2S)2(NO3)4]·2CH3OH, the two DyIII atoms are coordinated by two deprotonated 2-{[2-(1,3-benzothiazol-2-yl)hydrazinylidene]methyl}-6-methoxyphenol ligands and four nitrate ions, all of which are chelating. The crystal packing is stabilized by intermolecular N—H...O hydrogen bonds and weak O—H...O interactions, forming a two-dimensional network parallel to (010).
Optimizing Performance of Composite Services in Multiple Networks Enterprise Environment
Shuai Zhang,Jianling Sun,Yuanhong Shen,Yixi Chen
Information Technology Journal , 2011,
Abstract: Many approaches have been proposed for performance optimization of centralized services composition. However, with the prevalence of web services, services orchestration evolves from intra-enterprise integration to cross-enterprise integration and involves multiple networks. In such environment, the centralized orchestration suffers from several performance and reliability issues due to the limitation of centralized execution engine and the network conditions. In this paper, we try to optimize the performance of composite services in enterprise environment by adjusting the deployment location of component services. First, we propose a decentralized orchestration model for multiple networks environment. Based on this model, we propose the concept called service interaction strength, which is denoted by the data interaction between component services in a composite service as well as the importance of composite service itself. Then we design an objective function for all composition services with overall minimum cross domains service interaction costs and thus reduce the response latency and increase the performance of composite services. At last we introduce a mixed repair genetic algorithm to get the optimized deployment plans for all component services. Experimental results on simulation prototype show the optimization effectiveness of our approach and the performance of algorithm itself is also acceptable.
Study of Neutron-Capture Element Abundances in Metal-Poor Stars
Hongjie Li,Xiaojing Shen,Shuai Liang,Wenyuan Cui,Bo Zhang
Physics , 2013, DOI: 10.1086/669731
Abstract: This work describes a study of elemental abundances for 30 metal-poor stars whose chemical abundances provide excellent information for setting constraints on models of neutron-capture processes. Based on the abundances of main r- and weak r-process stars, the abundance patterns of main r-process and weak r-process are obtained. The two r-process component coefficients are defined to determine the relative contributions from individual neutron-capture process to abundances of metal-poor stars. Based on the component coefficients, we find that metal-poor stars BD+4 2621 and HD 4306 are also weak r-process stars, which means that the abundance pattern produced by weak r-process is stable. All metal-poor star abundances contain the contributions of both main r-process and weak r-process. The elements produced by weak r-process have increased along with Fe over the polluted history. Most of the metal-poor star abundances do not follow the pattern observed in solar system, but there is a small fraction that do. For the low-[Sr/Fe] star BD-18 5550 ([Sr/Fe]$\lesssim-1$), neutron-capture element abundances can be explained by the mixture of two r-process components. Since lighter elements in this star cannot be fitted by the two components, the abundance pattern of P-component is estimated from those abundances.
Real-Time Bidding Benchmarking with iPinYou Dataset
Weinan Zhang,Shuai Yuan,Jun Wang,Xuehua Shen
Computer Science , 2014,
Abstract: Being an emerging paradigm for display advertising, Real-Time Bidding (RTB) drives the focus of the bidding strategy from context to users' interest by computing a bid for each impression in real time. The data mining work and particularly the bidding strategy development becomes crucial in this performance-driven business. However, researchers in computational advertising area have been suffering from lack of publicly available benchmark datasets, which are essential to compare different algorithms and systems. Fortunately, a leading Chinese advertising technology company iPinYou decided to release the dataset used in its global RTB algorithm competition in 2013. The dataset includes logs of ad auctions, bids, impressions, clicks, and final conversions. These logs reflect the market environment as well as form a complete path of users' responses from advertisers' perspective. This dataset directly supports the experiments of some important research problems such as bid optimisation and CTR estimation. To the best of our knowledge, this is the first publicly available dataset on RTB display advertising. Thus, they are valuable for reproducible research and understanding the whole RTB ecosystem. In this paper, we first provide the detailed statistical analysis of this dataset. Then we introduce the research problem of bid optimisation in RTB and the simple yet comprehensive evaluation protocol. Besides, a series of benchmark experiments are also conducted, including both click-through rate (CTR) estimation and bid optimisation.
A Research on Dynamic System of Innovation and Development of Commerce Industry in Tongzhou District of Beijing  [PDF]
Shuai Liu
American Journal of Industrial and Business Management (AJIBM) , 2016, DOI: 10.4236/ajibm.2016.611100
Abstract: Commerce industry has the function of industry leader as a link between producers and consumers. In recent years, Tongzhou District, as the city’s vice center of Beijing City, has developed rapidly. However, there are still a lot of problems in the development of Tongzhou District’s commerce industry, and the research of the dynamic system for its innovative development plays an important role in solving these problems. This paper analyzes dynamic system of commerce industry’s innovation and development. All the researches which have done in this paper are meant to provide method to analyze dynamic system of commerce industry and make it better.
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