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      • Imaging Anatomy of Waldeyer's Ring and PET/CT and MRI Findings of Oropharyngeal Non-Hodgkin's Lymphoma

        Zhang, Chun-Xing,Liang, Long,Zhang, Bin,Chen, Wen-Bo,Liu, Hong-Jun,Liu, Chun-Ling,Zhou, Zheng-Gen,Liang, Chang-Hong,Zhang, Shui-Xing Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.8

        Background: This study was conducted to analyze positron emission tomography (PET) / computed tomography (CT) and magnetic resonance imaging (MRI) performance with oropharyngeal non-Hodgkin's lymphoma (ONHL).Materials and Methods: The complete image data of 30 ONHL cases were analyzed, all patients were performed PET / CT and MRI examination before the treatment, with the time interval of these two inspections not exceeding 14 days. The distribution, morphology, MRI signal characteristics, enhancement feature, standardized uptake value (SUV) max value and lymph node metastasis way of the lesions were analyzed. Results: Among the 30 cases, 23 cases were derived from the B-cell (76.7%), 5 cases were derived from the peripheral T cells (16.7%) and 2 cases were derived from the NK/T cells (6.7%). 19 cases exhibited the palatine tonsil involvement (63.3%). As for the lesion appearance, 10 cases appeared as mass, 8 cases were the diffused type and 12 cases were the mixed type. 25 cases exhibited the SUVmax value of PET / CT primary lesions as 11 or more (83.3%). MRI showed that all patients exhibited various degrees of parapharyngeal side-compressed narrowing, but MRI still exhibited the high-signal fat, and the oropharyngeal mucosa was intact. 25 cases were associated with the neck lymph node metastasis, among who 22 cases had no necrosis in the metastatic lymph nodes, while the rest 3 cases exhibited the central necrosis in the metastatic lymph nodes. Conclusions: PET / CT and MRI have important value in diagnosing and determining the lesion extent of ONHL.

      • KCI등재

        Reverse Iterative Image Encryption Scheme Using 8-layer Cellular Automata

        ( Xing Zhang ),( Hong Zhang ),( Chungen Xu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.7

        Considering that the layered cellular automata (LCA) are naturally fit for representing image data in various applications, a novel reverse iterative image encryption scheme based on LCA is proposed. Specifically, the plain image is set as the final configuration of an 8-layer CA, and some sequences derived from a random sequence are set as the pre-final configuration, which ensure that the same plain image will never be encrypted in the same way when encrypted many times. Then, this LCA is backward evolved by following some reversible two order rules, which are generated with the aid of a newly defined T-shaped neighborhood. The cipher image is obtained from the recovered initial configuration. Several analyses and experimental results show that the proposed scheme possesses a high security level and executive performance.

      • KCI등재

        Effects of SRBSDV-infected rice plants on the fitness of vector and non-vector rice planthoppers

        Hong-Xing Xu,Hong-Xing Xu,Xu-Song Zheng,Yajun Yang,Jue-Feng Zhang Zhang,Zhong-Xian Lu 한국응용곤충학회 2016 Journal of Asia-Pacific Entomology Vol.19 No.3

        Southern rice black-streaked dwarf virus (SRBSDV) is a new member of the genus Fijivirus and transmitted by whitebacked planthopper (WBPH), Sogatella furcifera (Horváth). The rice area affected by SRBSDV and the subsequent damages are increasing rapidly. In current study, we evaluated the effects of SRBSDV-infected plants on the ecological fitness and the tolerance to adverse environmental factors of vector WBPH and non-vector brown planthopper (BPH), Nilaparvata lugens (Stål). Our study revealed that the fitness of WBPH and BPH were both influenced by feeding on SRBSDV-infected rice. Fecundity ofWBPH feeding on the SRBSDV-infected rice plants were higher than those on healthy plants, nymphal duration of male WBPH prolonged markedly by 0.77 d (P b 0.05), while the weight of brachypterous female adults significantly decreased (P b 0.05), and the average survival time shortened both at 26 °C and 31 °C, respectively. Median lethal time of WBPH on SRBSDV-infected and healthy rice plants were 80 h and 112 h at 26 °C, 64 h and 88 h at 31 °C, respectively. As for non-vector BPH, nymph survival rate decreased significantly by 11.22% (P b 0.05) and the longevity of female adults also shortened (P b 0.05), while hatchability of BPH eggs increased (P b 0.05). Survival time of BPH feeding on healthy rice at 26 °Cwas significant longer than those feeding on healthy and infected rice at 31 °C. The above results imply that the vectorWBPH suffers much stronger effects than non-vector BPH fromfeeding on SRBSDVinfected rice plants.

      • KCI등재

        A New Public Key Encryption Scheme based on Layered Cellular Automata

        ( Xing Zhang ),( Rongxing Lu ),( Hong Zhang ),( Chungen Xu ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.10

        Cellular automata (CA) based cryptosystem has been studied for almost three decades, yet most of previously reported researches focus on the symmetric key encryption schemes. Up to now, few CA based public key encryption scheme has been proposed. To fill the gap, in this paper, we propose a new public key encryption scheme based on layered cellular automata (LCA). Specifically, in the proposed scheme, based on the T-shaped neighborhood structure, we combine four one-dimensional reversible CAs (set as the private key) to form the transition rules of a two-dimension CA, where the two-dimension CA is set as the corresponding public key. Based on the hardness assumption of the Decisional Dependent CA problem in LCA, we formally prove the proposed scheme is indistinguishably secure against the chosen-plaintext attack (IND-CPA). In addition, we also use a numeric example to demonstrate its feasibility. Finally, analysis of key space and time efficiency are also carried out along with RSA-1024, and the simulation results demonstrate that our proposed scheme is more efficient.

      • KCI등재

        Anomalous magnetization jumps in granular Pb superconducting films

        Zhang An-Lei,Jiang Wan-Yan,Chen Xing-Hong,Zhang Xiao-Ke,Lu Wen-Lai,Chen Fei,Feng Zhen-Jie,Cao Shi-Xun,Zhang Jin-Cang,Ge Jun-Yi 한국물리학회 2022 Current Applied Physics Vol.35 No.-

        In granular superconductors, the grain boundaries are closely related to the vortex dynamics and the macroscopic superconducting properties. In our research, Pb films with different grain sizes were prepared by tuning the substrate temperature. With the grain size decreasing, Pb films are prone to feature the anomalous magnetization jumps in the M − T curves, while in the M − H curves flux avalanche happens. Both phenomena appear in the same region of the H − T phase diagram and thus are considered to have the same origin. The further theoretical analysis shows that with grain size decreasing the pinning mechanism evolves from a mixed δTc and δl pinning to the δl pinning mechanism. The results shed light on the study of pinning mechanism for granular superconductors and is beneficial to the potential application of manipulating vortex pinning by regulation of intrinsic defects.

      • KCI등재

        Mutations in AP22.65 Accelerate Flowering in Arabidopsis thaliana

        Ji Hong Xing,Feng Ru Wang,Jiao Jia,Jing Zhang,Li Li,Zhan Chen,Qiao Yun Weng,Ping Yang,Ye Zhang,Bin Zhao,He Long Si,Jin Gao Dong,Jian Min Han 한국식물학회 2013 Journal of Plant Biology Vol.56 No.1

        Identification of the gene(s) responsible for floweringtime in Arabidopsis has significant implications. We used theT-DNA insertion library of Arabidopsis thaliana to screen anearly-flowering mutant that exhibits accelerated floweringunder short-day conditions. AP22.65, a novel flowering-timegene in that species, was isolated and identified via genomewalkingand bioinformatics analysis. The flowering time ofAP22.65-complementing plants was similar to that of theCol-0 wild type (WT). Conversely, its overexpression delayedflowering. Consistent with this phenotype, expression ofAP22.65 was decreased in the ap22.65-1 mutant, recoveredin AP22.65-complementing plants, and increased in AP22.65-overexpressing plants. Compared with the WT, expressionlevels of critical genes in different flowering pathways, i.e.,SPY, FLC, GI, CO, FT, and LFY, were down-regulated inloss-of-function mutants. Expression of AP22.65 was distributedin flowers, siliques, rosette leaves, and whole seedlings. Therefore, this gene may be a negative regulator of Arabidopsisflowering.

      • A Dependence Stability Bound based on the VC Dimension for Relational Classification

        Xing Wang,Hui He,Bin-Xing Fang,Hong-Li Zhang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3

        Relational classification (RC) is concerned with the application of statistical learning to relational data. RC models do not have improved stability to smooth the perturbations generated by variations in the correlation between the relational data. Therefore, few studies have attempted to derive a bound and develop a stability learning framework for RC models. To solve this problem, we derive a learning bound with a new measure dependence stability and a limited Vapnik–Chervonenkis (VC) dimension. Based on the learning bound, we then design a stable learning framework that serves as a guideline for the development of new learning algorithms for a broad class of RC models. Applying a Markov logic network on synthesized and real-world datasets, our experimental results demonstrate that our bound can be tight if the RC model has appropriate dependence stability and limited VC dimension and our learning framework increases the stability of RC models while reducing the deviation between empirical risk and true risk.

      • Mining Frequent Sub-hypergraph in an Uncertain Hypergraph for Knowledge Transfer

        Xing Wang,Bin-Xing Fang,Hui He,Hong-Li Zhang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.4

        The knowledge transfer learning can generalize across domains where the types of objects and variables are different. Previous studies ignored connectivity and creativity of domain knowledge. Thus, these studies just transfer knowledge from a source domain to a target domain that not effectively use the knowledge from other domains. We proposed a method, called Multi-domain second order knowledge integration (MSKI), for integrating to address this problem. We hybridize and create new knowledge, which is formalized into an uncertain hypergraph. Then, we proposed a method to mine frequent sub-hypergraph from the uncertain hypergraph (MFS-UHG). The frequent sub-hypergraphs are pivot knowledge, which has to be transferred with high priority. We embed the pivot knowledge in the progress of MLN structure learning. The experimental evaluation on four domain datasets shows that the MSKI outperforms state-of-the-art MLN-based transfer learning.

      • SCIESCOPUSKCI등재

        Robust model predictive control for three-level voltage source inverters

        Hong, Jianfeng,Zhang, Xing,Cao, Renxian The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.5

        To solve the problem of parameter mismatch in model predictive control (MPC), this paper presents a robust model predictive control method based on a fixed window optimization (FWO) algorithm for a three-level voltage source inverter that only needs to sample the current value. When compared with the traditional observer-based model predictive control (such as the Luenberger observer, sliding mode observer (SMO) and Kalman filter (KMF)), the proposed method does not require an observer with a complicated design, and its algorithm is simple and easy to understand. Meanwhile, high current sampling accuracy is not needed in the proposed method. However, it is necessary in some types of model-free predictive control. In addition, low switching frequency operation and delay compensation are also considered in this paper. In general, the proposed method is simple to implement and does not have high requirements in terms of the accuracy of its current sensor. Experimental results show that the proposed method can accurately estimate parameter values and improve the parameter robustness of MPC.

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