Objective To explore the relationship among psychological flexibility,coping style and job burnout of nurses.Methods A total of 694 nurses from one district level grade A tertiary general hospital in Yunnan were assessed using acceptance and action questionnaire 2nd edition (AAQ-Ⅱ),simplified coping style questionnaire (SCSQ) and nursing burnout scale (NBS).The relationship among psychological flexibility,coping style and job burnout of nurses was analyzed using structural equation model and Bootstrap test.Results (1) Correlation analysis showed that the total scores of AAQ-Ⅱ (21.81 ± 8.23),job burnout (22.71 ± 6.60) and its three dimensions including emotional exhaustion (8.93 ± 2.87),depersonalization (6.64±2.30)as well as reduced personal accomplishment(7.14±2.52) were positively correlated with negative coping dimension of coping style (10.86±4.99) (r=0.324-0.510,all P＜0.01),while negatively correlated with positive coping dimension(26.44±5.86) (r=-0.102--0.143,all P＜0.01).(2) Structural equation model analysis showed that positive and negative coping dimension had partial mediating effects on the relationship between psychological flexibility and job burnout (x2/df=2.30,GFI =0.91,AGFI =0.90,NFI=0.90,IFI=0.93,TLI=0.92,CFI=0.93,RMSEA=0.04).(3) Bootstrap test showed that the mediating effect sizes for positive and negative coping were 3.8％ and 8.9％ respectively and totally mediating effect size of coping style was 12.7％.Psychological flexibility had much larger effects on job burnout,and the direct effect size was 87.3％.Conclusion Coping style plays a mediating role in the relationship between psychological flexibility and job burnout,but its effect is less important.Psychological flexibility plays a major role and more directly influences on job burnout.

The design and development of multi-dimensional ultrasonic reconstruction and visualization system (MURVS) have been described in the present paper. This system is basically composed of four modules: the data input/output module, image segmentation and arrangement module, multi-dimensional reconstruction module, and the dynamic visualization module. At first, some algorithms used in the system are introduced by the authors, including the AVI segmentation algorithm, three-dimensional interpolation algorithm, and volume rendering algorithms. Then the key questions of techniques to be discussed are: how to design the main modules, how to solve the dynamic visualization problem, and how to implement the system. The experiments indicate that MURVS is able to reconstruct all three-dimensional data fields in one cardiac cycle of a patient within 4 seconds, and dynamically display the motion of the heart. It allows the medical professionals to select different parameters when observing the reconstructed results. This is very helpful for medical professionals to reach more accurate diagnoses of their patients' diseases.
Adult ; Algorithms ; Echocardiography, Three-Dimensional ; methods ; Female ; Humans ; Image Processing, Computer-Assisted ; methods ; Mitral Valve Stenosis ; diagnostic imaging

Yeast surface display involves that the exogenous protein, which was fused with the yeast outer shell cell wall protein, was genetically anchored on the yeast cell surface. It has been widely used in expression and screening of functional protein. Here, we focused on the construction of lipase-displaying systems and its application in enzymatic biosynthesis, such as fatty acid methyl esters, short-chain flavour esters and sugar esters applications, and so on.
Candida ; enzymology ; genetics ; Lipase ; biosynthesis ; genetics ; Pichia ; enzymology ; genetics ; Recombinant Proteins ; biosynthesis ; genetics ; Solvents ; Yeasts ; enzymology ; genetics

The authors first segment the right ventricle regions from the echocardiographics by introducig a seeded region growth algorithm. Then they reconstrunct the three dimensional data field of right ventricle by using rotary scanning interpolation algorithm. And then, the authors propose a layer-by-layer, row-by-row, and voxel-by-voxel approach based on the interpolation results to estimate the volume of right ventricle. Finally, some right ventricle functional parameters such as EDV (End-diastolic volume), ESV (End-systolic volume), and RVEF (Right ventricular ejection fraction) are computed according to the volume results. The volume variation curves of several patients during a cardiac cycle have been successfully plotted out. The obtained results are compared with those from Tomtec medial image workstation. The comparison indicates the proposed approach is practical and meaningful.
Algorithms ; Echocardiography, Three-Dimensional ; instrumentation ; methods ; Heart Ventricles ; diagnostic imaging ; Humans ; Image Processing, Computer-Assisted ; Ventricular Dysfunction, Right ; diagnostic imaging ; physiopathology ; Ventricular Function, Right

Cell culture is one of the usual methods for studying living cell and tissue, the method presented in this paper is based on image processing and analyzing technology for activity estimation of mesenchymal stem cells (MSCs). The existing activity estimation methods are costly, complex and invasive. In this method, thresholding is used to preprocess image and to separate out the growth hallow. Then the area is calculated by counting the pixels of the growth hallow. The changes of the activity estimated by this method are similar to those by corresponding cellular experiments. Compared with the existing methods in biology, medicine or medical cellular science, this method is easier, faster, cost-effective and non-invasive. The proposed method has been proved to be efficient by primary experiments of MSCs.
Animals ; Cells, Cultured ; Femur ; cytology ; Image Processing, Computer-Assisted ; methods ; Mesenchymal Stromal Cells ; cytology ; Rats ; Rats, Sprague-Dawley

This study aims to provide a computer-aided method for the diagnosis of fatty liver by B-scan ultrasonic imaging. Fatty liver is referred to the infiltration of triglycerides and other fats of the liver cells, which affected the texture of liver tissue. In this paper, some features including mean intensity ratio, as well as angular second moment, entropy and inverse differential moment of gray level co-occurrence matrix were extracted from B-scan ultrasonic liver images. Feature vectors which indicated two classes of images were created with the four features. Then we used kappa-means clustering algorithm, self-organized feature mapping (SOFM) artificial neural network and back-propagation (BP) artificial neural network to classify these vectors. The accuracy rate of kappa-means clustering algorithm was 100% for normal liver and 63.6% for fatty liver. The results of SOFM neural network showed that the accuracy rate was 84.8% for normal liver and 90.9% for fatty liver. The accuracy rate of neural network was 100% both for normal liver and fatty liver. This technology could detect the characteristics of B-scan images of normal liver and fatty liver more accurately. It could greatly improve the accuracy of the diagnosis of fatty liver.
Diagnosis, Differential ; Fatty Liver ; diagnostic imaging ; Humans ; Image Processing, Computer-Assisted ; methods ; Lung ; diagnostic imaging ; Neural Networks (Computer) ; Sensitivity and Specificity ; Ultrasonography

Mitral regurgitation is one of the most serious heart diseases. With the development of up-to-date medical techniques, the ratio of successful operations in valvular repair and valvular replacement has been largely improved. Examinations before operation become extremely crucial. Accurate method is required in assessing the degree of mitral regurgitation to set down the corresponding treatment method. This paper reviews the evaluation methods of mitral valvular regurgitation provided in these years and presents comments on the application areas as well as the merits and disadvantages of those methods. Finally, the prospect of the method based on three-dimensional Doppler ultrasonographic imaging on mitral regurgitation is discussed.
Echocardiography, Doppler, Color ; Echocardiography, Three-Dimensional ; Humans ; Image Processing, Computer-Assisted ; Mitral Valve Insufficiency ; diagnostic imaging

The ultrasonic estimation of fetal weight at delivery is of important prognostic significance in obstetrical practice. The convertional regression formulas used for estimating fetal weight have the disadvantage of less reliability. In this study, we used the back propagation neural network (BP) to estimate Fetal Weight. Some input variables were adopted in constructing the BP model: biparietal diameter (BPD), cerebellum transverse diameter (TCD), abdominal circumference (AC), liver length (LL), femur length (FL), fetal thigh soft tissue thickness (FSTT), and gestational age (GA). The fetal weights of 109 singleton fetuses were estimated. In the training group and validation group, coincidence rates were 89.77% and 76.19% respectively. The results show that the estimation based on neural network is more accurate than that by regression method. GA, its unit is not week but day in our formulas, is very valuable in combination with other ultrasonic parameters on estimation.
Anthropometry ; methods ; Birth Weight ; Female ; Fetal Weight ; Gestational Age ; Humans ; Infant, Newborn ; Neural Networks (Computer) ; Pregnancy ; Regression Analysis ; Term Birth

Objective To improve the precision of the traditional segmentation of echocardiogram, by suppressing the influence from inherent speckle noises in medical ultrasonic images. Method An automatic segmentation method based on reconstructed morphology was proposed in this paper. First, the opening and closing operations by reconstruction were imposed to the ultrasonic image. Second, the top-hat operation was used to extract the bright and/or dark features and to find out the boundaries corresponding to these features, whereby implemented the automatic segmentation. Result The segmented echocardiogram had less artificial boundaries resulted from speckle noise, and could accurately be extracted the artery and ventricle. Conclusion The presented method can detect both dark and bright objects accurately, and the boundary has a fine continuity. In addition, the algorithm is also applicable to the extraction of sole bright/dark features, accordingly to reduce the complexity and time needed and to improve the accuracy.

The correlations between surface energy parameters and carbon phase components in six diamond like carbon film (DLC) samples made in different ways and processing conditions were further investigated using the analysis of T-type correlation degree in the Grey system theory based on our earlier studies such as the determination of carbon phase and surface energy parameters, the analyses of carbon phase components, surface energy parameters and adhesive characteristic of platelets for DLC. The results showed: (1) as a whole critical surface tension has the closest relation with carbon phase components, chromatic dispersion branch of surface tension takes the second place, but for the other four parameters, the correlation is weak; (2) DLC phase has larger negative correlation (degrees -0.57, -0.33) with critical surface tension and chromatic dispersion branch of surface tension, while its correlation degrees with the other four parameters related to polarity are all positive values smaller than 0.20; (3) C-H phase and C-O phase have larger positive correlation (degrees 0.48, 0.25) with critical surface tension. We have come to three conclusions (1) DLC phase plays a dominant part in hemocompatibilioty of DLC by powerfully decreasing humidification and limitedly increasing polarity; (2) the energy mechanism of platelet deformation enhanced by C-H phase and C-O phase involves increasing the critical surface tension of DLC; (3) the hemocompatibility of DLC can be evaluated by using the critical surface tension as index and using the content of DLC phase and additional content limitation of C-H phase and C-O phase as standard. This study has provided a theoretical basis for evaluating the hemocompatibility of DLC based on surface properties.
Biocompatible Materials ; chemistry ; Carbon ; chemistry ; Diamond ; chemistry ; Humans ; Male ; Materials Testing ; Membranes, Artificial ; Models, Biological ; Platelet Adhesiveness ; drug effects ; Surface Properties