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1.
Chinese Journal of Behavioral Medicine and Brain Science ; (12): 612-616, 2023.
Article in Chinese | WPRIM | ID: wpr-992141

ABSTRACT

Objective:To explore the role of mindfulness and negative cognitive bias between behavioral inhibition system and social anxiety among college students.Methods:From October 12th to November 8th of 2012, a total of 747 college students from a university in Tianjin were sampled and assessed using the behavioral inhibition system scale (BIS), the mindful attention awareness scale (MAAS), the negative cognitive processing bias questionnaire (NCPBQ), and the social avoidance and distress scale (SAD). Descriptive statistics, correlation analysis, and tests for mediating effects were performed by SPSS 20.0 and Mplus 8.0.Results:The scores of behavioral inhibition system, social anxiety, mindfulness and negative cognitive bias were (15.3±2.4), (12.7±7.2), (3.4±0.8) and (45.6±11.5), respectively. The scores of BIS, NCPBQ, and SAD were positively correlated with each other ( r=0.27-0.49, all P<0.001). The scores of MAAS were negatively correlated with the scores of BIS, NCBPQ, and SAD ( r=-0.33--0.28, all P<0.001). The behavioral inhibition system exerted its influence on social anxiety through three pathways. The mediating effect size of mindfulness was 0.04, accounting for 16.0% of the total effect. The mediating effect size of negative cognitive bias was 0.17, accounting for 68.0% of the total effect. And the chain mediating effect size of mindfulness and negative cognitive bias was 0.04, accounting for 16.0% of the total effect. Conclusion:The effects of behavioral inhibition system on social anxiety in college students are individually mediated by mindfulness and negative cognitive biases, as well as their chain mediating effects.

2.
Chinese Journal of Neurology ; (12): 681-686, 2020.
Article in Chinese | WPRIM | ID: wpr-870867

ABSTRACT

Objective:To investigate the value of net water uptake (NWU) in predicting malignant edema (ME) in large hemispheric infarction (LHI).Methods:Fifty-six patients suffering from LHI in the General Hospital of Northern Theater Command from September 2017 to July 2018 were retrospectively analyzed, and their NWU was calculated separately. Patients were divided into two groups according to the occurrence of ME, which was defined as space-occupying infarct requiring decompressive craniectomy or death resulting from cerebral hernia in seven days from onset. The clinical characteristics were analyzed, and receiver operating characteristic (ROC) curve and respective area under curve (AUC) were used to assess the value of NWU and other factors.Results:After adjusting for atrial fibrillation, National Institutes of Health Stroke Scale scores at admission, and time from onset to imaging, multivariable analysis showed that NWU was an independent predictor of ME ( OR=1.226,95% CI 1.040-1.446, P=0.015). According to the ROC curve, NWU≥13.08% identified ME with great predictive power (AUC=0.813;sensitivity 0.64, specificity 0.94). Conclusions:NWU is an important predictor of ME in patients with LHI. It can help identify patients at risk of ME.

3.
Journal of Biomedical Engineering ; (6): 376-383, 2018.
Article in Chinese | WPRIM | ID: wpr-687620

ABSTRACT

Dual-energy computed tomography (CT) reconstruction imaging technology is an important development direction in the field of CT imaging. The mainstream model of dual-energy CT reconstruction algorithm is the basis material decomposition model, and the projection decomposition is the crucial technique. The projection decomposition algorithm based on projection matching was a general method. With establishing the energy spectrum lookup table, we can obtain the stable solution by the least squares matching method. But the computation cost will increase dramatically when size of lookup table enlarges and it will slow down the computer. In this paper, an acceleration algorithm based on projection matching is proposed. The proposed algorithm makes use of linear equations and plane equations to fit the lookup table data, so that the projection value of the decomposition coefficients can be calculated quickly. As the result of simulation experiment, the acceleration algorithm can greatly shorten the running time of the program to get the stable and correct solution.

4.
Chinese Journal of Epidemiology ; (12): 1010-1014, 2015.
Article in Chinese | WPRIM | ID: wpr-302029

ABSTRACT

Objective To evaluate the association between retinol-binding protein 4 (RBP4) and coronary artery disease (CAD) in Chinese.Methods A document retrieval was conducted by using retrieval systems,such as PubMed,Web of Science,Cochrane Library,Chinese National Knowledge Infrastructure (CNKI),CBM,VIP and WanFang Database,to collect the published papers of case-control studies on association between RBP4 and CAD in Chinese up to February,2015.Data collection and quality assessment were completed by two authors respectively.All the analyses were conducted with software RevMan 5.2.Results A total of 10 qualified studies were included in our meta-analysis.The pooled analysis showed that RBP4 might be associated with CAD in Chinese [WMD=7.17 (95%CI:3.56-10.78) μg/ml,P<0.05].Clinical subtype specific subgroup analysis showed RBP4 might be also associated with both stable angina pectoris [WMD=4.81 (95% CI:1.25-8.37) μg/ml,P<0.05] and acute myocardial infarction [WMD=13.96(95%CI:6.12-21.80) μg/ml,P<0.05].Age specific subgroup analysis showed the significant association between RBP4 and CAD was only found in patients aged ≤65 years [WMD=7.26(95%CI:2.73-11.79)μg/ml,P<0.05].Sensitivity and publication bias analyses indicated that our results were stable and reliable.Conclusion The meta-analysis suggests that RBP4 might be associated with CAD in Chinese.

5.
Journal of Biomedical Engineering ; (6): 1001-1010, 2014.
Article in Chinese | WPRIM | ID: wpr-234469

ABSTRACT

In order to get the adaptive bandwidth of mean shift to make the tumor segmentation of brain magnetic resonance imaging (MRI) to be more accurate, we in this paper present an advanced mean shift method. Firstly, we made use of the space characteristics of brain image to eliminate the impact on segmentation of skull; and then, based on the characteristics of spatial agglomeration of different tissues of brain (includes tumor), we applied edge points to get the optimal initial mean value and the respectively adaptive bandwidth, in order to improve the accuracy of tumor segmentation. The results of experiment showed that, contrast to the fixed bandwidth mean shift method, the method in this paper could segment the tumor more accurately.


Subject(s)
Humans , Brain Neoplasms , Pathology , Contrast Media , Magnetic Resonance Imaging , Neuroimaging , Skull
6.
Journal of Biomedical Engineering ; (6): 28-38, 2013.
Article in Chinese | WPRIM | ID: wpr-246468

ABSTRACT

We developed a three-dimensional mini-type permanent magnetic resonance imaging (MRI) device in our lab. The purposes of this study were (1) for further development of MRI technologies, (2) for support of broadening practices of animal test modeling in medical research, and (3) for training more specialists from colleges or universities in the field of MRI. This paper describes the research and development at our lab(s), especially stressing on the design of the main magnet, the gradient coil and the radio frequency coil. In addition, the specific methodologies used in our lab(s) and the related data are emphasized. The 3D MRI technologies have met the needs of using small animals, super thin sections of live animal body and high imaging resolutions. MRI images of mice head and abdominal have been obtained successfully by using the imager that we developed. The imaging results and analyses have also been discussed.


Subject(s)
Animals , Mice , Equipment Design , Imaging, Three-Dimensional , Magnetic Resonance Imaging , Methods
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