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In order to convey bionic image semantics of the intelligent projection TV efficiently and accurately, and improve the matching of users' perceptual cognitive needs with the bionic image of intelligent projection TV. An image coupling bionic design method was proposed. Firstly, the intelligent projection TV target image was obtained by KJ, Semantic difference method (SD) and K-means clustering method. Secondly, the primary, secondary and general target images were distinguished by anallytic hierarchy process(AHP), and the bionic prototype was selected according to the coupling of the primary target images. Thirdly, by means of morphological analysis and AHP, the decline structure of multi-feature coupled images was established and the judgment matrix was constructed. The contribution of coupled image of biological features was obtained. The main features were integrated into the intelligent projection TV styling to form a visual scheme. Finally, the reliability of image coupling styling method was verified by Delphi and fuzzy comprehensive evaluation method. The research process provides a reference for related product innovation design.

Objective: To investigate the urate-lowering efficacy of febuxostat in peritoneal dialysis (PD) patients with hyperuricemia (HUA) and its relationship with residual renal function. Methods: Patients with HUA who underwent PD in Ningbo First Hospital from January 2018 to October 2021 were enrolled and divided into experimental group and control group according to whether to use febuxostat. The clinical baseline data before treatment and clinical indicators during 1-12 months after treatment were collected in two groups, and the adverse reactions during the use of febuxostat were also recorded. The changes of serum uric acid, standard-reaching rate and residual renal function were compared between the two groups during the follow-up. Results: A total of 105 patients were included in the study. There were 55 patients in the experimental group [27 males and 28 females, with a mean age of (54.5±14.8) years] and 50 patients in the control group [32 males and 18 females, with a mean age of (53.8±15.2) years]. No statistically significant difference was detected in clinical baseline data between the two groups (all P >0.05). The serum uric acid of the experimental group [(479±77), (311±69), (286±61), (307±65), (312±57) μmol/L] and control group [(486±59), (454±71), (453±76), (463±70), (459±76) μmol/L] were lower than baseline values at 1, 3, 6 and 12 months after treatment and the differences of two groups were statistically significant (all P <0.05). The serum uric acid in experimental group was significantly lower than that of control group ( P <0.05). At 1, 3, 6 and 12 months after treatment, the standard-reaching rate of serum uric acid in the experimental group was significantly higher than that of the control group (all P <0.05). The decrease of residual estimated glomerular filtration rate (eGFR) and residual renal urea clearance index (Kt/V) in the experimental group were significantly lower than those in the control group at 12 months after treatment (all P <0.05). During the follow-up, the incidence of adverse reactions in the experimental group was 9.09% (5/55). Conclusions: Febuxostat can effectively treat PD patients with hyperuricemia and has a high safety profile. Moreover, it may delay the loss of residual renal function.

Objective: To investigate the expression and the subcellular localization of HDAC9 in different brain regions of mice after cerebral ischemic injury and explore the association between HDAC9 and ischemic stroke., Methods: Twenty-one male C57BL/6 mice were randomly divided into sham-operated group (n=9) and operated group (n=12). In the latter group, the mice with Zea-Longa neurological deficit scores of 2 or 3 following middle cerebral artery occlusion (MCAO) were assigned into MCAO group (n=9). Immunofluorescence was performed to investigate the subcellular localization of HDAC9 in the brain tissues on day 3 after MCAO. Western blotting and qRT-PCR were used to analyze the expression of HDAC9 in different regions of the brain. Results Immunofluorescence showed more intense HDAC9 expressions in the brain tissues around the infarct focus, and in the cells surrounding the infarct, HDAC9 expression was obviously increased in the cytoplasm and reduced in the cell nuclei. Compared with the other brain regions, the ipsilesional cortex with MCAO showed more abundant HDAC9 expressions at both the mRNA and protein levels (P<0.05)., Conclusion: HDAC9 may be closely related to cerebral ischemic injury and participate in the pathophysiological process of ischemic stroke.

Objective: To investigate the clinical and radiologic features of patients with spontaneous cerebral arterial dissections (CADs) presenting with ischemic stroke and to explore the effect of gender and age on those features., Methods: Patients admitted to our stroke center diagnosed as ischemic stroke secondary to CADs from August 2008 to April 2015 were prospectively registered. Patients aged between 15 to 80 years old, who had acute brain infarcts within the territory of a major cerebral artery affected by a dissection confirmed by the neuroradiological examinations, were enrolled in the study. The followings were the exclusion criteria: (1) there were any potential causes for the brain infarcts other than CADs; (2) CADs were the results of a definite cause; (3) the clinical data were incomplete., Results: A total of 118 patients were enrolled in the study with the mean age of (44.2±12.8) years old. There were 87 men (73.7%) and 67 patients (56.8%) aged under 45 years old. Smoking (41.5%), hypertension (25.4%) and hypercholesterolemia (21.2%) were the three leading risk factors for stroke. Hypercholesterolemia was more common in the male patients (25.3% vs 9.7%, P=0.021), whereas hypertension (39.2% vs 14.9%, P=0.005) and diabetes (25.5% vs 4.5%, P=0.002) were more common in the patients aged 45 years or older. Headache or neck pain before or at the onset of stroke was more common in the female patients (67.7% vs 34.5%, P=0.002). A total of 71 patients were found with CADs of the anterior circulation, while 47 patients with that of the posterior circulation. The involvement of the intra and extracranial arteries were documented in 59 and 59 patients, respectively. The middle cerebral artery (MCA) was the most common site in the intracranial dissection and more MCA dissections were observed in the male patients (46.3% vs 11.1%, P=0.016). The dissection of intracranial carotid artery was more common in patients aged under 45 years old (38.7% vs 0, P<0.001). Lumen status of CADs often presented as stenosis (43.2%) and occlusion (41.2%), while less aneurysm (5.9%) and aneurysm with stenosis (9.3%) were observed. Aneurysm was found to be more common in patients aged 45 years or older (11.8% vs 1.5%, P=0.042)., Conclusion: Chinese patients with spontaneous CADs presenting with ischemic stroke have unique clinical and imaging features, which correlated with age and gender.

With the development of remote sensing technology and imaging spectrometer, the resolution of hyperspectral remote sensing image has been continually improved, its vast amount of data not only improves the ability of the remote sensing detection but also brings great difficulties for analyzing and processing at the same time. Band selection of hyperspectral imagery can effectively reduce data redundancy and improve classification accuracy and efficiency. So how to select the optimum band combination from hundreds of bands of hyperspectral images is a key issue. In order to solve these problems, we use spectral clustering algorithm based on graph theory. Firstly, taking of the original hyperspectral image bands as data points to be clustered , mutual information between every two bands is calculated to generate the similarity matrix. Then according to the graph partition theory, spectral decomposition of the non-normalized Laplacian matrix generated by the similarity matrix is used to get the clusters, which the similarity between is small and the similarity within is large. In order to achieve the purpose of dimensionality reduction, the inter-class separability factor of feature types on each band is calculated, which is as the reference index to choose the representative bands in the clusters furthermore. Finally, the support vector machine and minimum distance classification methods are employed to classify the hyperspectral image after band selection. The method in this paper is different from the traditional unsupervised clustering method, we employ spectral clustering algorithm based on graph theory and compute the interclass separability factor based on a priori knowledge to select bands. Comparing with traditional adaptive band selection algorithm and band index based on automatically subspace divided algorithm, the two sets of experiments results show that the overall accuracy of SVM is about 94. 08% and 94. 24% and the overall accuracy of MDC is about 87. 98% and 89. 09%, when the band selection achieves a relatively optimal number of clusters using the method propoesd in this paper. It effectively remains spectral information and improves the classification accuracy.

As the rotation speed of ground based hyperspectral imaging system is too fast in the image collection process, which exceeds the speed limitation, there is data missed in the rectified image, it shows as the&#95;black lines. At the same time, there is serious distortion in the collected raw images, which effects the feature information classification and identification. To solve these problems, in this paper, we introduce the each component of the ground based hyperspectral imaging system at first, and give the general process of data collection. The rotation speed is controlled in data collection process, according to the image cover area of each frame and the image collection speed of the ground based hyperspectral imaging system, And then the spatial orientation model is deduced in detail combining with the star scanning angle, stop scanning angle and the minimum distance between the sensor and the scanned object etc. The oriented image is divided into grids and resampled with new spectral. The general flow of distortion image corrected is presented in this paper. Since the image spatial resolution is different between the adjacent frames, and in order to keep the highest image resolution of corrected image, the minimum ground sampling distance is employed as the grid unit to divide the geo-referenced image. Taking the spectral distortion into account caused by direct sampling method when the new uniform grids and the old uneven grids are superimposed to take the pixel value, the precise spectral sampling method based on the position distribution is proposed. The distortion image collected in Lao Si Cheng ruin which is in the Zhang Jiajie town Hunan province is corrected through the algorithm proposed on above. The features keep the original geometric characteristics. It verifies the validity of the algorithm. And we extract the spectral of different features to compute the correlation coefficient. The results show that the improved spectral sampling method is better than the direct sampling method. It provides the reference for the similar product used on the ground.

In order to correct the image distortion in the hyperspectral camera side-scan geometric Imaging, the image pixel geo-referenced algorithm was deduced in detail in the present paper, which is suitable to the linear push-broom camera side-scan imaging on the ground in any direction. It takes the orientation of objects in the navigation coordinates system into account. Combined with the ground sampling distance of geo-referenced image and the area of push broom imaging, the general process of geo-referenced image divided into grids is also presented. The new image rows and columns will be got through the geo-referenced image area dividing the ground sampling distance. Considering the error produced by round rule in the pixel grids generated progress, and the spectral mixing problem caused by traditional direct spectral sampling method in the process of image correction, the improved spectral sampling method based on the weighted fusion method was proposed. It takes the area proportion of adjacent pixels in the new generated pixel as coefficient and then the coefficients are normalized to avoid the spectral overflow. So the new generated pixel is combined with the geo-referenced adjacent pixels spectral. Finally the amounts of push-broom imaging experiments were taken on the ground, and the distortion images were corrected according to the algorithm proposed above. The results show that the linear image distortion correction algorithm is valid and robust. At the same time, multiple samples were selected in the corrected images to verify the spectral data. The results indicate that the improved spectral sampling method is better than the direct spectral sampling algorithm. It provides reference for the application of similar productions on the ground.

Aiming at the spectral distortion produced in PCA fusion process, the present paper proposes an improved low spectral distortion PCA fusion method. This method uses NCUT (normalized cut) image segmentation algorithm to make a complex hyperspectral remote sensing image into multiple sub-images for increasing the separability of samples, which can weaken the spectral distortions of traditional PCA fusion; Pixels similarity weighting matrix and masks were produced by using graph theory and clustering theory. These masks are used to cut the hyperspectral image and high-resolution image into some sub-region objects. All corresponding sub-region objects between the hyperspectral image and high-resolution image are fused by using PCA method, and all sub-regional integration results are spliced together to produce a new image. In the experiment, Hyperion hyperspectral data and Rapid Eye data were used. And the experiment result shows that the proposed method has the same ability to enhance spatial resolution and greater ability to improve spectral fidelity performance.

Yungang Grottoes were built in the mid-5th century A. D., and named as a UNESCO World Heritage site in 2001. Most of the grottoes were built on the feldspathic quartz sandstones. They were seriously damaged due to the environmental impact. The main form of the weathering is the powdered weathering. The weathering conditions are generally characterized by electrical sounding, penetration resistance, molecular spectroscopy, etc. However, although these methods can give good results about the weathering conditions for a specified sample or site, they are not suitable for providing a global profile of the weathering conditions. The present paper provides a method for effectively and roundly assessing the overall powdered weathering conditions of the Yungang Grottoes based on hyperspectral imaging. Powdered weathering could change the structure and granularity of the sandstone, and thus change the spectral reflectance of the sandstone surface. Based on the hyperspectral data collected from 400 nm to 1 000 nm and normalized by log residuals method, the powdered weathering conditions of the sandstones were classified into strong weathering and weak weathering. The weathering profile was also mapped in the Envi platform. The mapping images were verified using the measured hyperspectal data of the columns in front of the 9th and 10th grottoes as the examples. The mapping images were substantially fitted to the real observations, showing that hyperspectral imaging can be used to estimate the overall powdered weathering of the sandstones.

Objective: To explore the effect of leukoaraiosis on conscious disturbance in patients with acute cerebral infarction., Methods: A follow-up study including 138 patients with acute cerebral infarction matched with the diagnostic criteria of the Forth Cerebrovascular Disease Conference, were carried out. Patients were divided into two groups, using MRI to estimate the white substance process around cerebral ventricle, including 78 of them with leukoaraiosis and 60 without leukoaraiosis were followed up using Glasgow coma scale scores and England OCSP classification in 1 month, 3 month and 6 month after onset., Results: The independent factors of conscious disturbance included leukoaraiosis (OR = 5.294, 95% CI: 1.451-19.318), and OCSP classification (TACI and POCI especially) (OR = 14.489, 95% CI: 4.121-50.934). At the initial, the first month and the third month of the stroke episodes, significant difference (P < 0.05) was noticed when using Glasgow coma scales, and the scales in leukoaraiosis group was lower than the control., Conclusion: TACI and POCI in OCSP classification were independent risk factors of conscious disturbance, and leukoaraiosis was also the independent factor. The incidence of conscious disturbance after stroke in patients with leukoaraiosis were lower than in that without leukoaraiosis. On the other hand, the degree of conscious disturbance was more serious and slower than those without leukoaraiosis, suggesting that the effect of leukoaraiosis was duplicate for conscious disturbance. Because patients with leukoraiosis had tolerance of chronic cerebral ischemia. The number of patients with conscious disturbance after stroke was fewer relatively. Leukoaraiosis had inactive effect for amelioration of conscious disturbance after three months of the episode. The grouping of OCSP played a primary while leukoaraiosis playing a secondary role, despite the patients with or without conscious disturbance after stroke.