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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.
Pengyan Zhang,,Xing Ren,Qianqian Zhang,Jianjian He,Yongmin Chen 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.1
Rural health care reformed in the new situation in China, indicating that the construction of medical facilities not only to solve difficult medical problems, but also to take into account the efficiency and fairness of the use of medical resources allocation. Facing these problems, the paper aims to assess the spatial distribution of rural medical services by using geographic information systems (GIS) and spatial accessibility indexes. Lankao County in Henan Province and 21 hospitals of township and county are selected as study samples. First adopted ArcGIS10.0 to collate data. Second, the authors established a network dataset to analysis the maximum coverage for hospital services space accessibility. At last, established Huff model and built a scientific evaluation for the current hospitals’ distribution. There are several findings from the case study. First, the distribution of medical facility is unbalanced in rural areas in term of per capita, such as opportunity for assessing medical services and the convenience of utilizing medical services. Second, by using the Huff Model to calculate the potential population in service regions, the Huff Model to calculate the potential population in service regions, the results showed the low efficiency of the use of medical resources and the problems in these regions.
Zhang, Shuang-Xi,Xing, Meng-Dao,Xia, Xiang-Gen,Zhang, Lei,Guo, Rui,Bao, Zheng IEEE 2013 IEEE geoscience and remote sensing letters Vol.10 No.1
<P>In this letter, we discuss the problem that linear range cell walk correction in the azimuth time domain may cause space variation along the azimuth not only to the quadratic phase but also to the quadratic range cell migration (QRCM) under the conditions of high resolution and large scene along the azimuth. Moreover, an algorithm is proposed to deal with this problem. The proposed algorithm adopts the azimuth space variation filtering in the range frequency domain. In addition, the range-dependence component of QRCM is corrected by linear chirp scaling, and the unified QRCM can be corrected in the 2-D frequency domain. The proposed algorithm, without interpolation, can be easily implemented by integrating with motion compensation for image processing. Simulation and airborne strip-map real data show the accuracy and efficiency of the proposed algorithm.</P>
ZHANG Xing-yuan,CHEN Minye,XU Hai-rong,LI Pei-qi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8
Binary-tree support vector machine (SVM) has such advantages as small repeated operation workload, fast classification speed and dead zone inexistence, but the structural design can influence the classification accuracy thereof. In order to rationally design the structure of the binary-tress SVM, a multi-classification algorithm (AHP-BSVM) combining analytic hierarchy process (AHP) and binary-tree SVM is proposed in this paper. Firstly, the analytic hierarchy process is adopted to establish the evaluation system model so as to comprehensively evaluate multiple influencing factors for determining the weight values of various faults; then, the faults are ordered by the weight values and the structure of the binary-tree SVM is determined according to the fault sequence; finally, the proposed algorithm is adopted for fault diagnosis and analysis. The simulation experiment shows: compared with other algorithms, the proposed algorithm has higher recognition accuracy and higher classification accuracy, and is applicable to multi-classification, thus having good promotion prospect.
Identification of Specific Gene Modules in Mouse Lung Tissue Exposed to Cigarette Smoke
Xing, Yong-Hua,Zhang, Jun-Ling,Lu, Lu,Li, De-Guan,Wang, Yue-Ying,Huang, Song,Li, Cheng-Cheng,Zhang, Zhu-Bo,Li, Jian-Guo,Xu, Guo-Shun,Meng, Ai-Min Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.10
Background: Exposure to cigarette may affect human health and increase risk of a wide range of diseases including pulmonary diseases, such as chronic obstructive pulmonary disease (COPD), asthma, lung fibrosis and lung cancer. However, the molecular mechanisms of pathogenesis induced by cigarettes still remain obscure even with extensive studies. With systemic view, we attempted to identify the specific gene modules that might relate to injury caused by cigarette smoke and identify hub genes for potential therapeutic targets or biomarkers from specific gene modules. Materials and Methods: The dataset GSE18344 was downloaded from the Gene Expression Omnibus (GEO) and divided into mouse cigarette smoke exposure and control groups. Subsequently, weighted gene co-expression network analysis (WGCNA) was used to construct a gene co-expression network for each group and detected specific gene modules of cigarette smoke exposure by comparison. Results: A total of ten specific gene modules were identified only in the cigarette smoke exposure group but not in the control group. Seven hub genes were identified as well, including Fip1l1, Anp32a, Acsl4, Evl, Sdc1, Arap3 and Cd52. Conclusions: Specific gene modules may provide better understanding of molecular mechanisms, and hub genes are potential candidates of therapeutic targets that may possible improve development of novel treatment approaches.
Segmentation for Range Image Based on Snake Active Contour Model
Zhang Mei,Wen Jing Hua,Peng Xing Xing 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.8
Range image segmentation is one of the most common problem in the field of computer vision. In view of the defect about traditional range image segmentation methods, this paper introduces a new range image segmentation method based on snake active contour model (SCAM). First, this paper expresses the snake active contour model in the form of parameters, and illustrates the contour line data points inside and outside of the movement and pseudo code description of the motion of a point algorithm; then constructs energy function, pushing the Euler equation and discretization; finally gets the results by Cholesky decomposition. Numerical experiment results show that the method is accurate and efficient, of good effect and the segmentation results are consistent with human subjective visual perception.
Xing-hui Zhang,Ke-tai Wang,Teng Niu,Shan-shan Li 대한화학회 2014 Bulletin of the Korean Chemical Society Vol.35 No.5
The cycloaddition reactions of the N-heterocyclic carbene boryl azide with methyl acrylate, butenone, and hexafluoropropene have been investigated theoretically. Solvent effects on these reactions have been explored by calculation that included a polarizable continuum model (PCM) for the solvent (C6H6). The title reaction could produce 4- and 5-substituted 1,2,3-triazolines, respectively. The reaction systems have the higher chemical reactivity with the low barriers and could be favored. Yet the smaller differences have been found to occur in energetics, and the cycloaddition reactions occur for s-trans conformations over s-cis conformations. The calculations indicated that the cycloaddition reaction of the alkenes have certain regioselectivity.
Multiscale cooling technology for data centers
Xing Zhang,Zhen Li,Zhi Guang He,Tao Ding,Jian Feng Han,Hanwen Cao 대한기계학회 2018 대한기계학회 춘추학술대회 Vol.2018 No.4
Huge amount of heat is generated in data centers and it needs to be removed to outdoors through cooling equipment. In recent years the energy consumption and heat dissipation density of data centers increases sharply. The cooling technology of data centers has become a hot research focus. This article orderly introduces three types of cooling technologies in different scales and some relevant experiments are included. Besides, the energy consumption of each cooling technology is analyzed.
Xing, Ke,Liu, Wei,Zhang, Yue-Ji,Bian, Guang-Kai,Zhang, Wen-Di,Tamura, Tomohiko,Lee, Jung-Sook,Qin, Sheng,Jiang, Ji-Hong N.V. Swets en Zeitlinger 2013 Antonie van Leeuwenhoek Vol.103 No.2
<P>A novel actinomycete, designated strain KLBMP 1262(T), was isolated from a coastal plant Dendranthema indicum (Linn.) Des Moul collected from the coastal region of Nantong, Jiangsu Province, in east China and was studied in detail for its taxonomic position. Phylogenetic analysis based on the 16S rRNA gene sequence revealed that strain KLBMP 1262(T) is a member of the genus Amycolatopsis. The 16S rRNA gene sequence similarity indicated that strain KLBMP 1262(T) is most closely related to Amycolatopsis sulphurea DSM 46092(T) (97.96 %), Amycolatopsis ultiminotia RP-AC36(T) (97.50 %) and Amycolatopsis jejuensis N7-3(T) (97.44 %); similarity to other type strains of the genus Amycolatopsis was less than 97.0 %. The organism was determined to have chemical and morphological features consistent with its classification in the genus Amycolatopsis such as meso-diaminopimelic acid as the diagnostic diamino acid in the cell wall peptidoglycan and arabinose and galactose as the diagnostic sugars. The predominant menaquinone was determined to be MK-9 (H(4)). The polar lipids detected were phosphatidylmethylethanolamine, phosphatidylethanolamine, an unknown aminophospholipid, two unknown glycolipids and several unknown lipids. The major fatty acids were found to be C(16:0), iso-C(16:0) and iso-C(15:0). DNA-DNA relatedness data, together with phenotypic differences, clearly distinguished the isolate from its closest relatives. On the basis of these phenotypic and genotypic data, the isolate is considered to represent a novel species, for which the name A. jiangsuensis sp. nov. is proposed. The type strain is KLBMP 1262(T) (=KCTC 19885 (T) = NBRC 108679(T)).</P>