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In the traditional target tracking algorithm, when the target is disturbed by various factors such as occlusion and light intensity changes, the correlation template updates incorrectly and the error accumulates frame by frame, eventually causing the target tracking failure. Therefore, this paper proposes a robust object tracking algorithm based on VGG network. Firstly, the VGG network is used to extract the average feature map of the local context area image to establish a correction filter template in the first frame of the input image. Secondly, the VGG network is used to extract the average feature map and the affine transformation average feature map of the local context area image in the subsequent frame of the input image. Thirdly, combining the kernel correction filter tracking algorithm, the target position and the final target position are adaptively determined. Finally, the aigorithm adaptively updates the final average feature map and the final correlation filter template in the current frame of the Input image. Experimental results show that the proposed aigorithm sill has high target tracking accuracy and robustness when the target is disturbed by various factors such as occlusion and light intensity changes. [ABSTRACT FROM AUTHOR]

In view of the reality in face recognition due to illumination, expression, pose or other objects caused by facial shade seriously affects the recognition rate of the problem, this paper puts forward a method for some heavy low frequencies by using discrete cosine transform (DCT) coefficients retransformed algorithm of contrast limited adaptive histogram equalization. Firstly, the image is divided into several non-overlapping locally small blocks, and denoising is achieved by using the contrast limited adaptive histogram equalization about local sub-block for local contrast stretching; Secondly, using the appropriate number of low frequency DCT coefficients eliminates the iilumination change in face image; Finally, by using kernel principal component analysis for feature extraction, the nearest neighbor classifier completes the final face recognition. By ORL, extended Yale B and an outdoor experiment on face database the effectiveness of the proposed algorithm and robustness is verified. The experimental results show that compared with several kinds of linear algorithm, this algorithm in dealing with a robust face recognition has achieved higher recognition rate. [ABSTRACT FROM AUTHOR]

Objective To explore the difference in left ventricular reverse remodeling (LVRR) between coarctation of aorta (CoA) complicated by bicuspid aortic valve (BAV) and that by tricuspid aortic valve (TAV) after percutaneous intervention. Methods The clinical data on 47 patients undergoing percutaneous balloon dilation and stent implantation due to CoA in Fuwai Hospital of Chinese Academy of Medical Sciences from January 2014 to December 2021 were retrospectively analyzed. According to the preoperative imaging data, there were 18 patients with BAVA and 29 with TAV. The results of echocardiography before and one year after the procedure were compared. Results CoA Vmax, CoA PG, LVEDd, LVEDdi, LVM and LVMI were significantly improved in CoA patients one year after percutaneous intervention, and 23.4% of the patients developed left ventricular reverse remodeling. AV Vmax, AV PG and LVEDdi in the patients with BAV were higher than those in the TAV group (P = 0.005 and P = 0.007; P = 0.03), and the rate of left ventricular reverse remodeling in BAV patients was lower than that in TAV patients, but there was no statistical significance. Multivariate analysis did not find any influence factors affecting left ventricular reverse remodeling one year after the procedure. Conclusions Part of the CoA patients develops left ventricular remodeling reversal one year after percutaneous intervention. LVRR in patients with BAV is lower than that in those with TAV, which still needs further clinical research. [ABSTRACT FROM AUTHOR]

This thesis mainly studies the composite stabilizer of a series of anionic/cationic surfactant, and selects sodium dodecyl benzene sulfonate(SDBS)and tetradecyl trimethyl ammonium chloride(TTAC) as velvet pouch formation system. Adding polymer into the system under the conditions that the total concentration of surfactant is 0.02 mol/L and V(SDBS) : V(TTAC) = 7 : 3, the viscosity of the system increases, surface tension reduces, friction between the mole ules increases, binding force of the surface molecules decreases, and all of that make the system stabilization. Analysis of the particle size shows that the particle size becomes larger and distributed evenly after adding polyving akohol(PVA) of 0. 2% mass fraction into the velvet pouch system. When studying the stability of the system, velvet pouch system would be damaged by CaCl2 and MgCl2, while the stability would become better by adding PVA, and could not be easily damaged by salt. [ABSTRACT FROM AUTHOR]

Objective To investigate the clinical efficacy and safety of different therapeutic regimens of alendronate in the treatment and prevention of senile osteoporosis. Methods A random parallel controlled study was performed. Six hundred consecutive senile patients with osteoporosis were included. All the patients were divided into 2 groups according to the interval of drug administration. Patients in Group A had regular interval, taking an oral medication of 70mg alendronate once a week, while patients in Group B had long interval, taking an oral medication of 70mg alendronate once 2 weeks. Patients in both groups also took 600mg Caltrate D per day simultaneously. Bone mineral density (BMD) in both groups was detected before the treatment and at the 26th week and the 52nd week after the treatment, respectively. The serum levels of serum calcium, phosphorus, ALP, and urinary calcium/creatine were also detected before the treatment and at the 13th week and 52nd week after the treatment. The adverse events and the occurrence of new fractures were also observed. Results Compared with that before the treatment, BMD at the 26th week and the 52nd week after the treatment increased significantly (P < 0.05), while the changing rate of BMD in both groups showed no significant difference (P > 0.05). Compared with that before the treatment, the serum levels of ALP and urinary calcium/creatine decreased significantly (P < 0. 01), while the serum levels of calcium and phosphorus showed no significant changes. The effective rate after 52-week treatment in Group A and Group B was 85. 31% and 84. 89%, respectively, and no significant difference was observed (P > 0.05). The rate of adverse events was 9.09% and 3.60%, respectively, and the difference was significant (P < 0.01). No new fractures were observed in both groups. Conclusion The application of alendronate in the treatment and prevention of senile osteoporosis is safe and effective. Compared with that with regular interval, the clinical efficacy of medication with longer interval is similar, but the rate of adverse events is lower, and the treatment is much more convenient and economical. Therefore, the intermittent, lose-dosage therapeutic regimen of alendronate should be recommended in clinical practice. [ABSTRACT FROM AUTHOR]

Satisfiability Modulo Theories (SMT)-based bounded model checking (BMC) has been considered as an improved technique to SAT-based bounded model checking in recent years. Bounded model checking has often been used to check existential properties, but rarely used to verify global properties, and one of the reasons is that this method is hard to encode the global properties as its' restricted by the bound. Therefore, In order to verify the global properties, the encodings in traditional bounded model checking should be changed. Combining with SMT, some global properties can be verified in real time systems. Experiments demonstrate the method is more efficient than existing methods. [ABSTRACT FROM AUTHOR]

The study was to evaluate the nutritional value of the muscle of Andrias davidianus of the third generation from Daning river system in Chongqing and the Hanjiang River system in Shaanxi. The nutritional components of the muscle of Andrias davidianus populations from the Daning River population in Chongqing (group C) and the Hanshui population in Hanzhong (group S) were determined and analysed by conventional biochemical analysis methods, and the quality was evaluated. The results showed that the crude fat and water content of muscle in the group C were significantly lower than those in the group S (P<0.05), and the crude protein and crude ash content were not significantly different (P>0.05). The eighteen amino acids were found in the muscles of both populations, with glutamic acid (Glu) being most abundant. The first limiting amino acid was tryptophan, while the essential amino acid composition conforms to FAO/WHO standards. The essential amino acid index of the group C was 97.29%, which was higher than that of the group S (85.82%). The total muscle amino acids and the total essential amino acids in the group C were significantly higher than those in the group S (P<0.05), and there was no significant difference in delicious amino acids (P>0.05). The fifteen fatty acids were detected in the muscles of the group S, with two more fatty acids, including pearl lipoic acid (C17:0) and cis-11-eicosatetraenoic acid (C20:1), than in the group C. The monounsaturated fatty acids, polyunsaturated fatty acids, eicosapentaenoic acid + docosahexaenoic acid were significantly higher in the group S than in the group C ( P<0.05). In both populations, the macronutrient K and the trace element Zn had the highest levels of eight minerals in the muscles. The study indicates that the third generation of Andrias davidianus has high nutritional value and tasty meat. The quality of protein and trace minerals in the muscle of the group C is better than that of the group S, and the quality of fatty acids and macrominerals in the muscle of the group S is better than that of the group C. [ABSTRACT FROM AUTHOR]

This paper summarizes the preparation of SSZ-13 zeolite membranes and the application of SSZ- 13 membranes in C02 separation. The effects of synthesis methods, synthesis conditions and surface modification on SSZ-13 zeolite membranes are discussed. The separation stability and separation performance under different conditions of SSZ-13 zeolite membranes are reviewed. As inorganic membranes,SSZ-13 zeolite membranes has the advantages of hydrophobicity, high specific surface area, distinctive pore size and good physicochemical stability, which has good prospects in C02 separation. However, the non-zoolitic defect is an important factor restricting the separation performance of SSZ-13 membranes. It is pointed out that thin thickness, defect-free and stable separation performance are the development direction of SSZ-13 membranes, which can provide reference for the preparation of high-performance SSZ-13 membranes. [ABSTRACT FROM AUTHOR]

Traditional video face recognition methods could not learn specific covariance of local model well, this paper proposed heteroscedastic probabilistic linear discriminant analysis algorithm optimized by appearance manifold modeling. Firstly, all faces in training sets were appearance manifold modeled respectively by Gaussian distribution collection. Then, it clustered faces gotten from video and used heteroscedastic PLDA to learn the clustering results. Finally, it used distances between points and models to fusion and match all clusters from each frame of testing face and training sets so as to classifying. The effectiveness and robustness of proposed algorithm has been verified by experiments on Honda and FRGC v2, experimental results show that proposed algorithm improves recognition accuracy and decreases the computing complexity comparing with several other video face recognition algorithms. [ABSTRACT FROM AUTHOR]

Aiming at optimization problems of management of explosive storage, an optimized on-line operation method of explosives storage based on the Radio Frequency Identification (RFID) technology and genetic algorithm is proposed, making management of explosives storage more efficient, informatization, secure, intelligent. The information of explosives warehouse are acquired by RFID real-time technology, and an assignment strategy for location of explosive warehouse is proposed. The mathematical model o£ explosives storage optimization is constructed through analyzing operation characteristics of explosives storage and requirements, and the complicated model is solved by the genetic algorithm. The simulation results show that the proposed method can improve utilization rate of warehouse space, and optimize the walking path in the process of taking and putting the explosives, as well as solve the operating problems under the constraint condition, such as a validity of explosives. [ABSTRACT FROM AUTHOR]

In recent years, the privacy-preserving data mining has become a hotspot in data mining. However, with the development of technologies (mobile communication, embedded and positioning technologies, etc),the emerging applications( the Internet of things, location-based services, social network based on location, etc) result in accumulation of abundant personal privacy information, which will easily lead to the violence of personal privacy. Therefore, it is significant to study the privacy-preserving data mining methods to meet the demands of new applications. In view of the analyzing the characteristics and catalogs of existing privacy-preserving data mining methods, this paper proposed their challenges from the field of new distributed system, high dimensional data and spatio-temporal data, etc, as well as indicated the future research directions. [ABSTRACT FROM AUTHOR]

Pore characteristics and their controlled factors of some lower Paleozoic shales from the Yangtze area were investigated in this paper using optical microscopy, scanning electron microscopy (SEM) and N2 gas adsorption method. The results show that different pore types are abundant in the samples, including pores in organic matter, solution pores, primary residual pores, iron pyrite inter-granular pores, and micro-fissure caused by clay minerals. The samples have pore specific surface area between 2.99-35.26 m²/g, pore volume between 0. 012-0. 096 cm³/g. The pore volume and pore specific surface area of the samples show some positive relationship with their TOC and clay mineral contents. They are major factors to control pore structures of shales. [ABSTRACT FROM AUTHOR]

Skin is the largest organ in the human body, and skin color is more convenient and stable than other biological properties of the human body. Therefore, it is very meaningful to design an effective skin color grading system. In this paper, the skin color grading system is divided into two parts; skin segmentation and skin color grading. For the skin segmentation, a multi-scale feature fusion network is built under the framework of the generative adversarial network. Compared with the traditional semantic segmentation networks, the proposed segmentation model makes full use of the information of each layer's feature map. In the face color grading experiment, the SVM classifier and the BP neural network are trained with 1 000 images in the normalized rgb, HSV, and Lab color spaces. 128 skin images are used as test sets, and the correct rate is between 73% and 76%. Then, the color features are combined with the LBP texture features of the skin region to do the learning. The correct rate of the SVM classifier is 85%, and the correct rate of the BP neural network is 91%. [ABSTRACT FROM AUTHOR]

By in silicon cloning and genome walking strategies, the gDNA, cDNA and promoter sequences of RsFPF1 gene in radish were isolated, and the expression pattern analysis as well as transgenic functional validation was conducted. Sequence analysis showed that RsFPF1 gene was 330 bp and encoded 109 amino acids, which shared highest homology with FPF1 protein in Arabidopsis thaliana and white mustard. The 5' upstream promoter region of RsFPF1 gene was 1 845 bp, and PLACE and PlantCARE analysis indicated that it contained several typical promoter elements and light response cis-regulatory elements. Moreover, with semi-quantitative RT-PCR the RsFPF1 gene exhibited a high expression level in shoot tip before flowering, whereas it showed relatively maximum expression level in flowers and floral buds after flowering. Furthermore, the positive transgenic tobacco plants from Agrobac terium-mediated leaf-disc transformation exhibited significant early flowering stage as compared with the wild-type plants. These results suggested that RsFPF1 gene can promote early flowering and its expression profile might be regulated by light, which could play critical roles in the regulation of bolting and flowering, and gene expression relative to floral initiation in radish. [ABSTRACT FROM AUTHOR]

Continuous separation tests of fine coal particles of 6.0-0.5 mm were done by a crossflow air-solid magnetically stabilized fluidized bed (MSFB), which used 0.074-0.045 mm magnetite powder and magnetite beads as medium of high and low density separation respectively. The results show that the range of steadily operational air velocity in air-solid magnetically fluidized beds is broader than that in standard air-solid fluidized beds when they are at stable fluidization. External magnetic field compels the magnetic grains to form parallel magnetic chains following the magnetic induction lines, which enlarge the bed voidage and form the uniform air channels. Air bubbles cannot be produced when the air flows through the channels, thus stable and particulate air-solid magnetically fluidized beds coming into being. The possible deviation of high and low density separation are 0. 085 and 0. 075 g/cm³ respectively. [ABSTRACT FROM AUTHOR]