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The Explanation of the Cultural Attribute of Terrorism
Junping Wang 아시아경찰학회 2003 아시아경찰학회 국제학술회의 Vol.2003 No.-
Terrorism is a kind of social phenomena that has clear culture attribute. It not only has the political cultural attribute, but also has the cultural character in the crime of terror; however, it is a kind of cultural law phenomenon basically. As a result, only have to place the terrorism in the conformity of political sub-culture, the crime sub-culture and the law sub-culture to discuss, can we hold the immanent stipulation, and bring forward the countermeasures to defending and controlling, even can we set the standard of the normal aptitude for anti-terrorism, making it have the higher political legality to get more positive achievement in anti-terrorist action.
Junping Xu,Hye Ryun An,Pil Man Park,Yae Jin Kim,Su Young Lee 한국원예학회 2021 한국원예학회 학술발표요지 Vol.2021 No.10
Phalaenopsis is an economically important horticultural crop as cut flowers and potted plants, and it has achieved commercial-scale production in many countries. Plant tissue culture technology is widely used in large-scale propagation of Phalaenopsis, which can not only maintain the stability of genotype and phenotype, but also effectively and rapidly reproduce on a large scale. In the present study, we tested the planting density (1, 4, 7, and 10 seedlings per bottle) of two commercial varieties P. ‘Lovely Angle’ and ‘Univivace’ in tissue culture production, and optimized the size (80mm, 110mm and 140mm in height), material (plastic and glass), and ventilation (with or without filter) of culture vessels for standard production. Our results showed that good ventilation was helpful to plant growth. ‘Lovely Angle’ has the highest rooting rate in plastic vessels compared with glass vessels, in contrast, ‘Univivace’ has 100% rooting rate in glass vessels. We also observed that the optimum height of the vessel should be 110mm with 7 ‒ 10 plants. This study could provide a basis for the standardized Phalaenopsis production for the P. ‘Lovely Angle’ and ‘Univivace’.
Junping Wang,Qian Liao,Yunting Zhang,Chunshui Yu,Renju Bai,Haoran Sun 대한영상의학회 2012 Korean Journal of Radiology Vol.13 No.4
Objective: This experiment aims to determine the diagnostic value of diffusion-weighted imaging (DWI) in the differentiation of axillary inflammatory lymph nodes from metastatic lymph nodes in rabbit models in comparison with conventional magnetic resonance imaging (MRI). Materials and Methods: Conventional MRI and DWI were performed at 4 weeks after successful inoculation into the forty female New Zealand white rabbits’ mammary glands. The size-based and signal-intensity-based criteria and the relative apparent diffusion coefficient (rADC) value were compared between the axillary inflammatory lymph nodes and metastatic lymph nodes, with histopathological findings as the reference standard. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of the aforementioned criteria and rADC value in differentiating the axillary inflammatory lymph nodes from metastatic lymph nodes. Results: Thirty-two axillary inflammatory lymph nodes and 46 metastatic ones were successfully isolated and taken into pathological analysis. The differences of the aforementioned criteria between the two groups were not statistically significant (p > 0.05). However, the rADC value of the inflammatory lymph nodes (0.9 ± 0.14) was higher than that of metastatic ones (0.7 ± 0.18), with significant difference (p = 0.016). When the rADC value was chosen as 0.80, the area under the ROC curve is greater than all other criteria, and the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value for differentiating two groups were 86.2%, 79.3%, 81.2%, 84.2%, and 85.6%, respectively. Conclusion: Diffusion-weighted imaging is a promising new technique for differentiating axillary inflammatory lymph nodes from metastatic lymph nodes. Compared with routine magnetic resonance sequences, DWI could provide more useful physiological and functional information for diagnosis. Objective: This experiment aims to determine the diagnostic value of diffusion-weighted imaging (DWI) in the differentiation of axillary inflammatory lymph nodes from metastatic lymph nodes in rabbit models in comparison with conventional magnetic resonance imaging (MRI). Materials and Methods: Conventional MRI and DWI were performed at 4 weeks after successful inoculation into the forty female New Zealand white rabbits’ mammary glands. The size-based and signal-intensity-based criteria and the relative apparent diffusion coefficient (rADC) value were compared between the axillary inflammatory lymph nodes and metastatic lymph nodes, with histopathological findings as the reference standard. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of the aforementioned criteria and rADC value in differentiating the axillary inflammatory lymph nodes from metastatic lymph nodes. Results: Thirty-two axillary inflammatory lymph nodes and 46 metastatic ones were successfully isolated and taken into pathological analysis. The differences of the aforementioned criteria between the two groups were not statistically significant (p > 0.05). However, the rADC value of the inflammatory lymph nodes (0.9 ± 0.14) was higher than that of metastatic ones (0.7 ± 0.18), with significant difference (p = 0.016). When the rADC value was chosen as 0.80, the area under the ROC curve is greater than all other criteria, and the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value for differentiating two groups were 86.2%, 79.3%, 81.2%, 84.2%, and 85.6%, respectively. Conclusion: Diffusion-weighted imaging is a promising new technique for differentiating axillary inflammatory lymph nodes from metastatic lymph nodes. Compared with routine magnetic resonance sequences, DWI could provide more useful physiological and functional information for diagnosis.
An Efficient Load Balancing Scheme for Multi-Gateways in Wireless Mesh Networks
Liu, Junping,Chung, Sang-Hwa Korea Information Processing Society 2013 Journal of information processing systems Vol.9 No.3
In Wireless Mesh Networks (WMNs), we usually deploy multiple Internet Gateways (IGWs) to improve the capacity of WMNs. As most of the traffic is oriented towards the Internet and may not be distributed evenly among different IGWs, some IGWs may suffer from bottleneck problem. To solve the IGW bottleneck problem, we propose an efficient scheme to balance the load among different IGWs within a WMN. Our proposed load-balancing scheme consists of two parts: a traffic load calculation module and a traffic load migration algorithm. The IGW can judge whether the congestion has occurred or will occur by using a linear smoothing forecasting method. When the IGW detects that the congestion has occurred or will occur, it will firstly select another available IGW that has the lightest traffic load as the secondary IGW and then inform some mesh routers (MPs) which have been selected by using the Knapsack Algorithm to change to the secondary IGW. The MPs can return to their primary IGW by using a regression algorithm. Our Qualnet 5.0 experiment results show that our proposed scheme gives up to 18% end-to-end delay improvement compared with the existing schemes.