Peace and Security on the Korean Peninsula ; Nuclear Proliferation and Security in Northeast Asia

( Zhen Qiang Pan ) 국방대학교 안보문제연구소 2001 The Korean Journal of Security Affairs Vol.6 No.1

Reference gene selection for RT-qPCR analysis in two invasive whiteflies after the acquisition of vectored or non-vectored viruses

Zhen-Hong Lv,Hui-Peng Pan,Wei Zhang,Tian-Bo Ding,Dong Chu 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.1

Custom reference gene selection is essential for reverse transcriptase-quantitative polymerase chain reaction(RT-qPCR) in different species of insects and various experiment conditions. In this study, 14 candidate referencegenes (HSP40, HSP20, HSP70, HSP90, v-ATPase, RPL29, EF-1, SDHA, Actin, PPIA, GAPDH, MyosinL,NADH, and γ-tubulin) were analyzed using five different programs including ΔCt method, BestKeeper, geNorm,NormFinder, and ReFinder to validate their use as reference genes in two invasive whiteflies, Bemisia tabaci Band Q, after acquiring the vectored virus, Tomato yellow leaf curl virus (TYLCV), or ingesting the non-vectoredvirus, Tomato spotted wilt virus (TSWV), respectively. The results showed that HSP40, v-ATPase, and EF-1 werethe most stable genes in B. tabaci B (B. tabaci B feeding on the healthy, TYLCV- and TSWV-infected tomatoplant), PPIA, SDHA, and RPL29 were the most stable genes in B. tabaci Q (B. tabaci Q feeding on the healthy,TYLCV- and TSWV-infected tomato plant). In addition, EF-1, RPL29, and HSP20 were the most stable referencegenes in B. tabaci B and Q. These findings provide the basis for future RT-qPCR-based studies on whitefly-virus interactions. Meanwhile,this report may set a precedent for reference gene selection in insects after the ingestion of non-vectored viruses.

DTSTM: Dynamic Tree Style Trust Measurement Model for Cloud Computing

( Zhen-ji Zhou ),( Li-fa Wu ),( Zheng Hong ),( Ming-fei Xu ),( Fan Pan ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.1

In cloud computing infrastructure, current virtual machine trust measurement methods have many shortcomings in dynamism, security and concurrency. In this paper, we present a new method to measure the trust of virtual machine. Firstly, we propose “behavior trace” to describe the state of virtual machine. Behavior trace is a sequence of behaviors. The measurement of behavior trace is conducted on the basis of anticipated trusted behavior, which not only ensures security of the virtual machine during runtime stage but also reduces complexity of the trust measurement. Based on the behavior trace, we present a Dynamic Tree Style Trust Measurement Model (DTSTM). In this model, the measurement of system domain and user domain is separated, which enhances the extensibility, security and concurrency of the measurement. Finally, based on System Call Interceptor (SCI) and Virtual Machine Introspection (VMI) technology, we implement a DTSTM prototype system for virtual machine trust measurement. Experimental results demonstrate that the system can effectively verify the trust of virtual machine and requires a relatively low performance overhead.

PATN: Polarized Attention based Transformer Network for Multi-focus image fusion

Pan Wu,Zhen Hua,Jinjiang Li 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4

In this paper, we propose a framework for multi-focus image fusion called PATN. In our approach, by aggregating deep features extracted based on the U-type Transformer mechanism and shallow features extracted using the PSA module, we make PATN feed both long-range image texture information and focus on local detail information of the image. Meanwhile, the edge-preserving information value of the fused image is enhanced using a dense residual block containing the Sobel gradient operator, and three loss functions are introduced to retain more source image texture information. PATN is compared with 17 more advanced MFIF methods on three datasets to verify the effectiveness and robustness of PATN.

A Harmony Search Based Low-Delay and Low-Energy Wireless Sensor Network

Zhen-Rui Peng,Hong Yin,Hai-Tang Dong,Hui Li,An Pan 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.2

Aiming at different service quality requirements under different circumstances of wireless sensor network (WSN), harmony search (HS) algorithm is used to solve the low-delay and low-energy double-objective optimization problem in wireless sensor networks. First, analyze the low-delay and low-energy model, and establish the objective function. Then, use the priority-based path encoding algorithm to update harmony memory iteratively while searching the optimal path. Finally, simulation of 100-node network is carried out by using Matlab. The results show that sensor network data transmission path can be controlled according to the users’ needs of delay and power.

Research on Control Optimization for Bonnet Polishing System

Pan Ri,Wang Zhen-Zhong,Wang Chun-Jin,Xie Yin-Hui,Zhang Dong-Xu,Guo Yin-Biao 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.

Aspheric optical lenses are conventionally polished with continuous precession by 5-axis bonnet polishing system. In this work, in order to achieve that aspheric lenses be processed by four-axis simultaneous NC (numerical control) machining system, one kind of control algorithm was proposed by controlling the error of precession angle. Firstly, on the basis of the analysis of the structure of bonnet tool and processing technology of aspheric optics, ranges of important parameters in machining process such as the angle between spin axis of bonnet tool and negative vertical direction and the precession angle were fixed, to make the minimum errors of precession angle as small as possible; Secondly, the control algorithm was introduced, aimed to reduce the existing errors of precession angle in polishing process by making micro migration of machining points. Then, simulation experiments of polishing non-axisymmetric aspheric lenses were carried out to validate the suggested control algorithm, the results revealed that the maximum error of precession angle was decreased to about 0.01°, which is available in real processing.

Psychopathological Profile of Women with Breast Cancer Based on the Symptom Checklist-90-R

Pan, Xiong-Fei,Fei, Man-Dong,Zhang, Kenneth Y.,Fan, Zhen-Lie,Fu, Feng-Huan,Fan, Jin-Hu Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.11

Background: With effective early treatments, many breast cancer patients suffer from psychological distress due to adverse effects and lifelong physical disfigurement. Our study aimed to evaluate the psychopathological profile of breast cancer patients in comparison with healthy women and explored demographic correlates. Method: We consecutively enrolled breast cancer patients who came to the hospital for follow-up or rehabilitation care after primary treatment, and healthy female relatives or friends of inpatients in the Cancer Institute of Chinese Academy of Medical Sciences between August 30, 2010 and January 1, 2012. Psychopathological profile was assessed based on the Symptom Checklist-90-R (SCL-90-R) for patients and controls. We compared demographics such as age, ethnicity, education, marriage, and occupation, and incorporated these data plus cancer status for the association with the general SCL-90-R index and scores for 9 major symptom dimensions in multiple regression analysis. Results: We surveyed a total of 291 female breast cancer patients and 531 healthy women. The average age was $55.1{\pm}6.40$ years for breast cancer patients and $43.1{\pm}12.8$ for healthy controls (P<0.01). The mean survival was 5.20 years for cancer patients (range, 0.60-9.90 years). There were statistically significant differences in education, marriage, and occupation between the two groups (P<0.01). General index ($1.45{\pm}0.45$ versus $1.32{\pm}0.37$) and 8 dimension scores (excluding anxiety) on SCL-90-R were significantly higher in patients (P<0.05). Multiple regression analysis showed that the breast cancer status was positively correlated with general SCL-90-R index and 6 dimension scores (excluding the anxiety, phobic anxiety and paranoid ideation dimensions) (P<0.05). Regression coefficients ranged from 0.10 (depression) to 0.19 (somatization). Higher interpersonal sensitivity was noticed in single women compared to married women. Conclusions: Chinese patients with breast cancer demonstrate greater psychopathology compared to healthy controls. The breast cancer status is an independent contributing factor to the general psychopathological profile. Breast cancer patients should be given particular counseling and care to alleviate their psychological distress.

Glutathione-S-Transferase Polymorphisms (GSTM1, GSTT1 and GSTP1) and Acute Leukemia Risk in Asians: a Meta-analysis

Tang, Zhen-Hai,Zhang, Chi,Cheng, Pan,Sun, Hong-Min,Jin, Yu,Chen, Yuan-Jing,Huang, Fen Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.5

The association between glutathione-S-transferase polymorphisms (GSTM1, GSTT1 and GSTP1) and risk of acute leukemia in Asians remains controversial. This study was therefore designed to evaluate the precise association in 23 studies identified by a search of PubMed and several other databases, up to December 2013. Using random or fixed effects models odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were calculated. Heterogeneity across studies was assessed, and funnel plots were constructed to test for publication bias. The meta-analysis showed positive associations between GST polymorphisms (GSTM1 and GSTT1 but not GSTP1) and acute leukemia risk [(OR=1.47, 95% CI 1.18-1.83); (OR=1.32, 95% CI 1.07-1.62); (OR=1.01, 95% CI 0.84-1.23), respectively] and heterogeneity between the studies. The results suggested that the GSTM1 null genotype and GSTT1null genotype, but not the GSTP1 polymorphism, might be a potential risk factors for acute leukemia. Further well-designed studies are needed to confirm our findings.

The Application of Built-in Beam Element Method in the Aqueduct Pile Foundation Analysis

Shiyang Pan,Tongchun Li,Xiao Qing Liu,Jian-qun Zhu,Zhen Cui,Zhengyi Wang 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.7

The solution using built-in beam element method to increase the calculation efficiency of aqueduct pile foundations is studied in this work. The formulations of built-in beam element method based on the normal generalized displacement method of beam element are introduced in this work. Then, the validity of the built-in beam element method is checked by a static problem of a simplified aqueduct model. Furthermore, the solution to increase calculation efficiency by built-in beam element method for aqueduct pile foundations is introduced by studying the features of built-in beam element method and normal generalized displacement method of beam element in models with different grid density and foundation stiffness. Finally, a static problem of an arch aqueduct is solved using the summed solution. The results show that it is feasible to improve efficiency with sufficient accuracy by reasonably selecting the built-in beam element method and normal generalized displacement method in the analysis of aqueduct pile foundation.

A Medical Image Fusion Algorithm based on Non-subsampled Shearlet Transform and Non-negative Matrix Factorization

Chen Zhen,Xing Xiaoxue,Guo Pan,Fan Qinyin 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8

After the image decomposition with Non-subsampled Shearlet Transform (NSST), the transform coefficients have a larger redundancy. In order to reduce the redundant information, an image fusion algorithm based on NSST and non-negative matrix factorization (NMF) is introduced. The source images are decomposed with NSST into the low-frequency coefficients and the high-frequency sub-band coefficients. The low-frequency coefficients are fused based on NMF theory. The high-frequency coefficients are fused based on Regional Sum Modified-Laplacian (SML) Maximum. Finally, the inverse NSST is used to reconstruct the final fused image. The proposed algorithm can effectively remove redundant information, extract global features and capture more direction details information of multi-source image. Experiments show that the proposed algorithm has obvious advantages and the fused image quality has been greatly improved. The presented algorithm is superior to other fusion algorithms from the objective parameters.