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The competitive displacement of interfacial proteins, including soy protein isolate (SPI), casein, and modified SPIs (heat, sodium sulfite and succinic anhydride treatment), by Tween 20 was investigated. The structural characteristics of the soy proteins, such as the surface hydrophobicity, exposed free sulfhydryl content and ξ-potential, were analyzed to explore their effects on the protein displacement by Tween 20. The sequence of Tween 20 addition significantly affected the displacement of SPI and casein from the interfaces. The highest degrees of displacement of SPI and casein were 91.04% and 90.67%, respectively, when Tween 20 was added before homogenization. However, the corresponding values became 41.29% and 87.70% when Tween 20 was added after homogenization. The lower level of the latter value was mainly attributed to the fact that SPI formed viscoelastic interfacial films, as confirmed by interfacial rheological property measurements. Although both the ξ-potentials of the SPI emulsions and the mechanical strength of the interfacial protein films decreased due to Tween 20 addition, the physical stability of the emulsions was significantly enhanced. In regard to the modified SPIs, although a high surface hydrophobicity and a low content of exposed free sulfhydryl were associated with low degrees of protein displacement in some cases, the protein charge was the dominant factor affecting the displacement by Tween 20. The emulsion stability of both SPI and the modified SPIs was improved by Tween 20, likely because Tween 20 effectively reduced the hydrophobic interactions between the oil droplets by partially displacing proteins or binding to residual interfacial proteins.

Increased water turbidity is considered a primary cause of the loss of seagrass meadows. This paper first quantified the interactive influence of different combinations of turbidity and duration on the responses of Zostera marina plants in terms of survivorship, morphology and growth. The recovery potential of Z. marina plants, as well as the degrees of potential correlations between key factors induced by the increased turbidity and the survival and growth variables, were assessed. The LT50 (lethal time that caused an increase in mortality to 50% of that of the control) and EC50 (effect concentration, i.e., turbidity level that caused a decrease in growth to 50% of that of the control) were calculated to reveal the quantitative relationship between turbidity and duration that resulted in limiting effects on the survival and growth of Z. marina plants. Z. marina plants were exposed to different combinations of water turbidity [4 (control), 50, 100, 200, 300 and 400 NTU] and duration (5, 10, 15 and 20 days), and then the plants were transferred to the control condition for over 30 days under laboratory conditions. The results showed that the recovery effort (the percentage of the survival of plants at the end of recovery to that of plants at the end of direct turbidity stress) of Z. marina exposed to different combinations of turbidity and duration was lower than 100%, indicating that short-term periods of increased water turbidity would lead to long-term effects on the survival of Z. marina plants. Water turbidity and duration displayed a significant interactive effect on the survival and growth of Z. marina plants. Regression analysis revealed that the relationship between water turbidity and duration that resulted in limiting effects on the survival and growth of Z. marina could be described as a strong inverse function. Spearman correlation analysis showed that the decrease in survival and growth of Z. marina plants was mostly caused by increased silt load in turbid waters, and subsequently by light reduction. This study will further develop our understanding of the degradation and disappearance of seagrass meadows induced by increased turbidity.

Aiming at the large calculation workload of adaptive algorithm in adaptive filter based on wavelet transform, affecting the filtering speed, a wavelet-based neural network adaptive filter is constructed in this paper. Since the neural network has the ability of distributed storage and fast self-evolution, use Hopfield neural network to implement adaptive filter LMS algorithm in this filter so as to improve the speed of operation. The simulation results prove that, the new filter can achieve rapid real-time denoising.

Applying for information entropy theory, we present a measure of dependence for multi-variables relationships: the high dimensional maximal mutual information coefficient (HMIC). It is a kind of maximal information-based nonparametric exploration (MINE) statistics for identifying and classifying relationships in large data sets which generalizes the maximum information coefficient (MIC) measurement in mutual variables. To decreasing the complexity of the HMIC computing, the improved uniform grid is proposed by data grid idea. At the same time, some optimal single axis partition algorithm (SAR) is built to ensure the feasible of the HMIC measurement. Finally we apply the HMIC to analysis the data sets of physical measurement among college students.

To study the relationship between serum iron(SI) and essential hypertension (EHT) based on population-based samples.Using clustering multistage sampling method, all the people above 18 years old in the target population were investigated. Blood pressure was measured and the questionnaire was used to find out related factors. Five milliliters fast vein blood were drawn and the serum were used for testing on serum iron (SI) and other elements such as blood sugar, cholesterol (CHOL), triglyceride (TG), high density lipoprotein(HDL-C), low density lipoprotein (LDL-C), serum sodium, serum potassium, serum calcium etc. A case control study was carried out with EHT patients from the selected population as case group, and the other healthy peoples as controls. Database was created by Fox Pro and SPSS 10.0 was used for statistical analysis.The concentrations of SI, with (17.75 +/- 7.66) micromol/ L in EHT group and (17.23 +/- 7.83) micromol/L in control group, showed statistical difference (P0.05) between the two groups. The concentrations of SI also showed statistical difference (P0.05) between the high DBP and normal group with the average level as (17.84 +/- 7.58) micromol/L in high DBP group and (17.26 +/- 7.85) micromol/L in normal group. Data from monovariate analysis showed that the increase of SI was a risk factor for EHT, DBP and SBP. By multivariate analysis for EHT, while SI still existed in the model (OR = 1.296, 95% CI: 1.057-1.590), but for SBP the results almost remained the same (OR = 1.285, 95% CI:1.102-1.498).Data from the results showed that SI was probably a risk factor for EHT.

To investigate the prevalence state of essential hypertension in the countryside of Zhangwu county, Liaoning province to confirm whether this county is the high prevalence region of essential hypertension.Five thousand, two hundred and eight 15-year olds or older were sampled by means of whole population random sampling. Blood pressure was measured and the related risk factors were investigated with the uniform questionnaire. SPSS 10.0 of statistical software was used for data analysis.The standardized prevalence rate of hypertension was 35.0% at this region, 40.0% in male, 32.0% in female. The prevalence rates of hypertension were increased with the increasing of the age in both males and females. There were significant statistically differences in the prevalence rates of hypertension between the different age groups, different countrysides and different villages. The standardized prevalence rate of hypertension were 43.0% the highest and 29.0% lowest respectively in the countryside, with prevalence rates, were 59.4% highest and 26.9% lowest respectively in the village. In all the patients with hypertension, 72.0% having hypertension II, III.The countryside of Zhangwu county was a high prevalence region of essential hypertension which was unusual in our country. The reason of this status was still unknown which called for further study.