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  • Author: Wei Zhu x
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Open access

Li Yanwei, Zeng Wei and Zhu Yu

Abstract

Background: Dry eye is a common ophthalmic problem and lactoferrin (LF) is one of the most important components of the immune system. Preliminary findings have suggested that LF concentration in tears may be linked to the risk of dry eye.

Objective: We investigated the relationship between dry eye and lactoferrin levels in tears.

Material and methods: LF levels in the tears of 40 patients with dry eye and 35 healthy controls were measured by radial immunodiffusion assay. Statistical analysis was used to study the correlation between LF levels and results of both Schirmer’s and tear film break-up time tests and the age of the subject.

Results: The concentration of LF was significantly decreased in the tears of dry eye subjects compared with control subjects (P<0.001). There is a positive relationship between LF in tears and results from Schirmer’s and tear film break-up time tests in non-Sj⃞gren’s syndrome (r=0.48 and 0.78 respectively P<0.001), while there is a negative relationship between LF and age (r= -0.74, P<0.005).

Conclusions: Decreased LF in tears is a factor in the pathology of dry eye. When treating non-Sj⃞gren’s syndrome, treatment with LF could be added to artificial tear treatment.

Open access

Hezhong Yuan, Wei Pan, Zhengjie Zhu, Ying Wei, Qifang Geng and Shuqing An

Abstract

The concentrations of Zn, Cr, Cu, As, Cd, and Pb in sediment cores collected from a representative riverine wetland located in the Huaihe River watershed, China, dramaticlly increased from the bottom to upper layer of the cores. Application of principal component analysis (PCA) and enrichment factor (EF) suggested that heavy metals might primarily have been derived from the inflow of contaminated water from an industrial park and agricultural region. Component 1 of the PCA was dominated by Zn, Cr, Cu, Cd, and Pb, while Component 2 was dominated by As. Metals’ high concentrations and EF values showed that the anthropogenic pollutants have increased sharply in recent years and reflect the continuous development of industry and agriculture in the region of the wetland, with a corresponding dramatic deterioration of the environment due to constant effluent of pollutants. Cd exerted the highest potential ecological risk of individual metals of sediment cores. Additionally, integrated RI values for all metals indicated that sediments possessed low ecological risk from the bottom to about 6 cm depth of the cores, moderate ecological risk from about 5 cm depth upwards, then considerable ecological risk from 4 cm depth to the top layer of the sediment cores, which demonstrates a continuous deterioration of environmental quality in recent years in this region.

Open access

Jianning Zhu, Minjie Wang, Zhaocheng Wei and Bin Cao

Abstract

With the increase of subdivision depths, some problems of common data structures for representing the subdivision surfaces appear, such as excessive computer memory consumption and low efficiency of the data query which restrict the popularization and application of subdivision surfaces in more fields. By utilizing the topological characteristics of the subdivision surface, a two-layer data structure named CELL is presented in order to better realize the piecewise representation of trilateral/quadrilateral subdivision surfaces. The inner structure of CELL represents the subdivision surface patch by using arrays, and the outer structure of CELL represents the topological relations between the subdivision surface patches. Based on Catmull-Clark subdivision scheme, the structural compositions of CELL and the realization mechanism of the subdivision algorithm are proposed. Additionally, sharp and semi-sharp features are constructed, and a primary study on amalgamation of the image/Z-map model and subdivision surface is presented. The results of the experimental and theoretical analysis show the superior performance of CELL with relation to computer memory consumption, data query, subdivision surface computation and algorithm development.

Open access

Lingyun Y. Wei, Peixin X. Jiao, Trevor W. Alexander and Wen Zhu Yang

Abstract

Red osier dogwood (ROD) is an abundant shrub plant in Canada and other places in the world. It is rich in antioxidants such as quercetin, gallic acid and tyrosol. The objective of this study was to evaluate the effects of substituting barley silage with ROD in high-forage (HF) or high-grain (HG) diets on gas production (GP), dry matter (DM) disappearance (DMD) and fermentation characteristics in ruminal batch cultures. The study was a randomized design with 2 media pH (5.8 vs. 6.5) × 4 doses of ROD. An additional treatment of monensin and tylosin was added as a positive control for each pH level. The basic diet consisted of 60% barley silage and 40% barley grain for HF or 15% silage and 85% grain for HG diet. The barley silage was partly replaced with ROD at 0, 3, 6 or 12% in both diets (DM basis). Each diet was incubated for 24 h in culture bottles with three replicates for each treatment combination, and three runs on different days. The GP and DMD were greater (P<0.01) with media pH 6.5 vs. pH 5.8. The DMD linearly (P<0.01) decreased at pH 5.8 with increasing levels of ROD. Increasing ROD levels also linearly (P<0.01) decreased total VFA concentration and the proportion of propionate, and increased (P<0.01) the acetate to propionate ratio (A:P) at pH 5.8. Compared to the antibiotic treatment, the inclusion of ROD resulted in lower (P<0.02) DMD at pH 5.8, and a greater (P<0.01) proportion of acetate but a lower (P<0.01) proportion of propionate. These results indicated that the DMD of diets and the fermentation pattern were adversely affected by ROD at pH 5.8. However, the increased A:P along with the decreased DMD at pH 5.8, suggested a lower impact on fibre digestion than on starch digestion by ROD. Feeding ROD may therefore potentially reduce the incidence of rumen acidosis resulting from feeding HG diets to ruminants by decreasing starch digestion in the rumen.

Open access

Li Jiansheng, Tao Fengbo, Wei Chao, Lu Yuncai, Wu Peng, Zhu Mengzhou and Yu Miao

Abstract

The detection of transformer winding deformation caused by short-circuit current is of great significance to the realization of condition based maintenance. Considering the influence of environment and measurement errors, an online deformation detection method is proposed based on the analysis of leakage inductance changes. First, the operation expressions are derived on the basis of the equivalent circuit and the leakage inductance parameters are identified by the partial least squares regression algorithm. Second, the amount of the leakage inductance samples in a detection time window is determined using the Monte Carlo simulation thought, and then the samples in the confidence interval are obtained. Last, a criteria is built by the mean value changes of the leakage inductance samples and the winding deformation is detected. The online detection method considers the random fluctuation characteristics of the leakage inductance samples, adjust the threshold value automatically, and can quantify the change range to assess the severity. Based on the field data, the distribution of the leakage inductance samples is analyzed to obey the normal function approximately. Three deformation experiments are done by different sub-winding connections and the detection results verify the effectiveness of the proposed method

Open access

Wanzeng Kong, Bei Jiang, Qiaonan Fan, Li Zhu and Xuehui Wei

Abstract

Personal identification is particularly important in information security. There are numerous advantages of using electroencephalogram (EEG) signals for personal identification, such as uniqueness and anti-deceptiveness. Currently, many researchers focus on single-dataset personal identification, instead of the cross-dataset. In this paper, we propose a method for cross-dataset personal identification based on a brain network of EEG signals. First, brain functional networks are constructed from the phase synchronization values between EEG channels. Then, some attributes of the brain networks including the degree of a node, the clustering coefficient and global efficiency are computed to form a new feature vector. Lastly, we utilize linear discriminant analysis (LDA) to classify the extracted features for personal identification. The performance of the method is quantitatively evaluated on four datasets involving different cognitive tasks: (i) a four-class motor imagery task dataset in BCI Competition IV (2008), (ii) a two-class motor imagery dataset in the BNCI Horizon 2020 project, (iii) a neuromarketing dataset recorded by our laboratory, (iv) a fatigue driving dataset recorded by our laboratory. Empirical results of this paper show that the average identification accuracy of each data set was higher than 0.95 and the best one achieved was 0.99, indicating a promising application in personal identification.

Open access

Fan Nie, Ke Hong, Hui-juan Li, Xiu-hui Li, Shuang-jie Li, Wei Zhang, Qing-jing Zhu, Lukun Zhang and Guang Nie

Abstract

Objective To realize the characteristics of “zheng” differentiation-treatment for hand, foot and mouth disease (HFMD), a new methodology of syndrome differentiation for different stages of HFMD has been explored.

Methods Total of 2 325 cases with HFMD were recorded by distributing them into exterior syndrome stage, interior syndrome stage, severe syndrome stage and recovered syndrome stage, respectively, and the main symptoms and subsidiary symptoms of different stages of HFMD have been observed. The major and minor pathogenesis of HFMD in different stages were obtained, and compared with the “2010 Guideline for the Diagnosis and Treatment of HFMD”.

Results It was found that the major pathogenesis of exterior stage was defined as “the invation of the wenevil to the defender of the body with the collaterals got involved”, and the minor as “qi deficiency”; in interior stage, “the fury of Gan-Yang” was the main pathogenesis, and “qi in chaos and qi deficiency” was the minor; in severe syndrome stage, “the damage of heart, liver and lung” was the main pathogenesis, and “qi in chaos” was the minor; and the pathogenesis of recovered stage was “qi-yin deficiency”. Compared with the “2010 Guideline for the Diagnosis and Treatment of HFMD”, it showed that “the obstruction of the fei-pi qi by the mixture of shi-re evil” and “the mixture of shi-re” in vivo was quite difficult to be explained in completely different context in the general situation; in the severe stage, the TCM clinical characteristics of syndrome differentiation might lose; in the early acute severe cases, the phenomenon that xin-yang and fei-qi almost ran out was difficult to be observed, then, the line between the severe and the acute severe became vague.

Conclusions The theory of syndrome differentiation by stages of HFMD was reasonable in the actual situation of clinical description on HFMD which was expected to be further tested and widely applied in the “zheng” differentiation-treatment of HFMD in the future.

Open access

Xueliang Li, Colton Magnant, Meiqin Wei and Xiaoyu Zhu

Abstract

Let G be an edge-colored connected graph. A path P in G is called ℓ-rainbow if each subpath of length at most ℓ + 1 is rainbow. The graph G is called (k, ℓ)-rainbow connected if there is an edge-coloring such that every pair of distinct vertices of G is connected by k pairwise internally vertex-disjoint ℓ-rainbow paths in G. The minimum number of colors needed to make G (k, ℓ)-rainbow connected is called the (k, ℓ)-rainbow connection number of G and denoted by rck,ℓ(G). In this paper, we first focus on the (1, 2)-rainbow connection number of G depending on some constraints of . Then, we characterize the graphs of order n with (1, 2)-rainbow connection number n − 1 or n − 2. Using this result, we investigate the Nordhaus-Gaddum-Type problem of (1, 2)-rainbow connection number and prove that rc 1,2(G) + rc 1,2() ≤ n + 2 for connected graphs G and . The equality holds if and only if G or is isomorphic to a double star.