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Mathematical security models for multi-agent distributed systems
This thesis presents the developed taxonomy of the security threats in agent-based distributed systems. Based on this taxonomy, a set of theories is developed to facilitate analyzng the security threats of the mobile-agent systems. We propose the idea of using the developed security risk graph to model the system\u27s vulnerabilties
Microsatellite Markers in the Mud Crab (Scylla paramamosain) and their Application in Population Genetics and Marker- Assisted Selection
The mud crab (Scylla paramamosain) is a commercially important species for aquaculture and fisheries in China. In this study, a total of 302 polymorphic microsatellite markers have been isolated and characterized. The observed and expected heterozygosity ranged from 0.04 to 1.00 and from 0.04 to 0.96 per locus. The wild populations distributed along South-eastern China coasts showed high genetic diversity (HO ranged from 0.62 to 0.77) and low genetic differentiation (FST = 0.018). Meanwhile, a significant association (r2 = 0.11) was identified between genetic and geographic distance of 11 locations. Furthermore, a PCR-based parentage assignment method was successfully developed using seven polymorphic microsatellite loci that could correctly assign 95% of the progeny to their parents. Moreover, three polymorphic microsatellite loci were identified to be significantly associated with 12 growth traits of S. paramamosain, and four genotypes were considered to be great potential for marker-assisted selection. Finally, a first preliminary genetic linkage map with 65 linkage groups and 212 molecular markers was constructed using microsatellite and AFLP markers for S. paramamosain. This map was 2746 cM in length, and covered approximately 50% of the estimated genome. This study provides novel insights into genome biology and molecular marker-assisted selection for S. paramamosain
External application of Ruyi Jinhuang powder for phlebitis: A systematic review and meta-analysis
Purpose: To systematically review the effectiveness of the external application, Ruyi Jinhuang powder, on phlebitis
Methods: Relevant literature was retrieved from Medline, Embase, China National Knowledge Infrastructure database (CNKI), Cochrane Central Register, Chongqing Vip, Wanfang Data and SinoMed using the search terms “Ruyi Jinhuang San”, “Ruyi Jinhuang powder”, “Ruyi Jinhuang cream”, “Agreeable golden powder”, “satisfactory golden powder”, “Jinhuang cream”, “phlebitis”, “prevention and (or) treatment”, “randomized controlled trials” and “RCRs”. Two researchers independently arranged and analyzed the data.
Results: Significant differences were observed in the total effectiveness rate of Ruyi Jinhuang powder [relative risk (RR) = 1.27, 95% confidence interval (CI) = 1.19 to 1.36, and p < 0.0001). Ruyi Jinhuang powder can reduce the incidence of phlebitis versus conventional therapy in preventing phlebitis (RR = 0.32, 95 % CI 0.24 to 0.42, and p < 0.0001). Shorten the average healing time [mean difference (MD) =- 32.17, 95 % CI= -48.39 to -15.94, and p = 0.0001). Reduced pain relief time for phlebitis (MD = -3.29, 95% CI -5.42 to -1.16, and p = 0.002). However, no statistical difference was observed with regard to the onset time of phlebitis (MD = -0.62, 95 % CI -1.76 to 0.52, and p = 0.29).
Conclusion: Clinicians consider Ruyi Jinhuang powder a viable complementary and alternative medicine for phlebitis following the stronger evidence being offered
A combination of mutations enhances the neurotropism of AAV-2
AbstractThere is strong interest in developing practical strategies for gene delivery to the central nervous system (CNS). Direct delivery into the brain or spinal cord is highly invasive as well as inefficient or hazardous using most current vector systems. Our objective was to generate innocuous gene vehicles that would be effectively taken up by axons and then home to the neuron cell bodies. Vectors derived from Adeno-Associated Virus (AAV), a harmless human parvovirus, offer strong starting candidates for deriving such vehicles. Enhancing the axonal uptake of AAV, and conferring more efficient retrograde transport capabilities upon the virus, should produce near ideal gene transfer vehicles for the CNS. To enhance retrograde transport of the virus, peptides mimicking binding domains for cytoplasmic dynein were inserted in the capsid by directed mutagenesis. In separate clones, peptides derived from an NMDA receptor antagonist were also introduced to provide a specific affinity for this receptor. When combined, these two functionally distinct classes of mutation enabled efficient gene transfer into neurons under conditions not permissive for standard AAV-2 vectors prepared under the same conditions. These results hold strong promise for the development of safe, convenient vehicles to target genes and other sequences to neurons, enabling new and novel approaches for the treatment of multiple neurological disorders
SdcNet: A Computation-Efficient CNN for Object Recognition
Extracting features from a huge amount of data for object recognition is a challenging task. Convolution neural network can be used to meet the challenge, but it often requires a large amount of computation resources. In this paper, a computation-efficient convolutional module, named SdcBlock, is proposed and based on it, the convolution network SdcNet is introduced for object recognition tasks. In the proposed module, optimized successive depthwise convolutions, supported by appropriate data management, are applied in order to generate vectors containing higher density and more varieties of feature information. The hyperparameters can be easily adjusted to suit varieties of tasks under different computation restrictions without significantly jeopardizing the performance. The experiments have shown that SdcNet achieved an error rate of 5.60% in CIFAR-10 with only 55M Flops and also reduced further the error rate to 5.24% using a moderate volume of 103M Flops. The expected computation efficiency of the SdcNet has been confirmed
Effects of Preparation Conditions on the Yield and Embedding Ratio of Vinyl Silicone Oil Microcapsules
Self-healing materials could repair themselves without external influences when they are damaged. In this paper, microcapsules are prepared by in-situ polymerization method, utilizing vinyl silicone oil as core material, polyurea formaldehyde as wall material and polyvinyl alcohol as dispersant. The morphology and structure of the microcapsules are tested with scanning electron microscopy, optical microscopy and laser particle analyzer. Effect of the reaction temperature, stirring speed and polyvinyl alcohol concentration on the yield, embedding ratio, particle size and its distribution are studied. Results show that the microcapsules can be successfully prepared by in-situ polymerization method. Under the reaction condition of temperature 60 °C, stirring speed 1000 r/min, dispersant concentration 0.1 wt.%, the yield and embedding ratio of the microcapsule are found to be 52.5 % and 50.1 %, respectively. The prepared microcapsules have smooth surface, good dispersibility, narrow particle size distribution and the average particle size is 13 μm
Giant left atrial appendage aneurysm compressing the left ventricular wall diagnosed by multiple imaging technology
Association mapping for root system architecture traits under two nitrogen conditions in germplasm enhancement of maize doubled haploid lines
Root system architecture (RSA) contributes to nitrogen (N) uptake and utilization in maize. In this study, a germplasm enhancement of maize double haploid population of 226 lines genotyped with 61,634 SNPs was used to investigate the genetic basis of RSA under two N levels using a genome-wide association study (GWAS). GLM + PCA, FarmCPU, and MLM models were utilized to balance false positives and false negatives. In total, 33 and 51 significant SNP-trait associations were detected under high and low N conditions, respectively. Under high N, SNP S9_2483543 was detected by all models. Linkage disequilibrium (LD) regions of some SNPs overlapped with the intervals of QTL for RSA and N response that were detected in previous studies. In particular, several known genes, Rtcs, Rtcl, Rtcl, and Ms44, were located in the LD regions of S1_9992325, S9_151726472, S9_154381179, and S4_197073985, respectively. Among the candidate genes identified by this study, GRMZM2G139811, GRMZM2G314898, GRMZM2G054050, GRMZM2G173682, GRMZM2G470914, GRMZM2G462325, GRMZM2G416184, and GRMZM2G064302 were involved in seedling, seed, and root system development or N metabolism in Arabidopsis or rice. The markers identified in this study can be used for marker-assisted selection of RSA traits to improve nitrogen use efficiency in maize breeding, and the candidate genes will contribute to further understanding of the genetic basis of RSA under diverse N conditions
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