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Laboratory Confirmation of A Suspicious Meningococcal Meningitis Death Case
Tie-gang Zhang,Li-juan Chen,Jie Yang,Zhu-jun Shao,Xiong He,Jing-guo He,Ming Luo,Mei-ping Sun 한국미생물학회 2006 The journal of microbiology Vol.44 No.4
A suspicious meningococcal meningitis death case was reported to the Beijing CDC. The blood specimen was analyzed via multi-PCR and MLST. 6 isolates from close contacts were analyzed via PFGE and MLST. According to the results of the above analyses, the cause of this case was identified as a serogroup A Neisseria meningitidis, which, in terms of sequence typing, belonged the ST7 group.
The Molecular Characterization of Serogroup C Neisseria meningitidis Strains Circulating in Beijing
Tie-gang Zhang,Jing-guo He,Xiong He,Li-Juan Chen,Zhu-jun Shao,Mei-ping Sun 한국미생물학회 2006 The journal of microbiology Vol.44 No.6
The aim of this study was to characterize the molecular features of serogroup C Neisseria meningitidis strains circulating in Beijing, China. Twenty out of 23 strains belonged to ST 4821. The causative serosubtype for meningococcal meningitis was P1.12-1,16-8. All of the strains expressed class 3 PorB protein. Among the five pulsed-field gel electrophoresis patterns observed, pattern III predominated.
Viscosity methods of approximation for a common solution of a finite family of accretive operators
Jun-Min Chen,Li-Juan Zhang,Tie-Gang Fan 영남수학회 2011 East Asian mathematical journal Vol.27 No.1
In this paper, we try to extend the viscosity approximation technique to find a particular common zero of a finite family of accretive mappings in a Banach space which is strictly convex reflexive and has a weakly sequentially continuous duality mapping. The explicit viscosity approximation scheme is proposed and its strong convergence to a solution of a variational inequality is proved.
Physical properties and chemical composition of the cores in the California molecular cloud
Zhang, Guo-Yin,Xu, Jin-Long,Vasyunin, A. I.,Semenov, D. A.,Wang, Jun-Jie,Dib, Sami,Liu, Tie,Liu, Sheng-Yuan,Zhang, Chuan-Peng,Liu, Xiao-Lan,Wang, Ke,Li, Di,Wu, Zhong-Zu,Yuan, Jing-Hua,Li, Da-Lei,Gao, Springer-Verlag 2018 Astronomy and astrophysics Vol.620 No.-
<P><I>Aims.</I> We aim to reveal the physical properties and chemical composition of the cores in the California molecular cloud (CMC), so as to better understand the initial conditions of star formation.</P><P><I>Methods.</I> We made a high-resolution column density map (18.2′′) with <I>Herschel</I> data, and extracted a complete sample of the cores in the CMC with the fellwalker algorithm. We performed new single-pointing observations of molecular lines near 90 GHz with the IRAM 30m telescope along the main filament of the CMC. In addition, we also performed a numerical modeling of chemical evolution for the cores under the physical conditions.</P><P><I>Results.</I> We extracted 300 cores, of which 33 are protostellar and 267 are starless cores. About 51% (137 of 267) of the starless cores are prestellar cores. Three cores have the potential to evolve into high-mass stars. The prestellar core mass function (CMF) can be well fit by a log-normal form. The high-mass end of the prestellar CMF shows a power-law form with an index <I>α</I> = −0.9 ± 0.1 that is shallower than that of the Galactic field stellar mass function. Combining the mass transformation efficiency (<I>ε</I>) from the prestellar core to the star of 15 ± 1% and the core formation efficiency (CFE) of 5.5%, we suggest an overall star formation efficiency of about 1% in the CMC. In the single-pointing observations with the IRAM 30m telescope, we find that 6 cores show blue-skewed profile, while 4 cores show red-skewed profile. [HCO<SUP>+</SUP>]/[HNC] and [HCO<SUP>+</SUP>]/[N2H<SUP>+</SUP>] in protostellar cores are higher than those in prestellar cores; this can be used as chemical clocks. The best-fit chemical age of the cores with line observations is ~5 × 10<SUP>4</SUP> yr.</P>
Laboratory Confirmation of A Suspicious Meningococcal Meningitis Death Case
Zhang Tie-Gang,He Xiong,Chen Li-Juan,He Jing-Guo,Luo Ming,Yang Jie,Shao Zhu-Jun,Sun Mei-Ping The Microbiological Society of Korea 2006 The journal of microbiology Vol.44 No.4
A suspicious meningococcal meningitis death case was reported to the Beijing CDC. The blood specimen was analyzed via multi-PCR and MLST. 6 isolates from close contacts were analyzed via PFGE and MLST. According to the results of the above analyses, the cause of this case was identified as a serogroup A Neisseria meningitidis, which, in terms of sequence typing, belonged the ST7 group.
The Molecular Characterization of Serogroup C Neisseria meningitidis Strains Circulating in Beijing
Zhang, Tie-Gang,He, Jing-Guo,He, Xiong,Chen, Li-Juan,Shao, Zhu-Jun,Sun, Mei-Ping The Microbiological Society of Korea 2006 The journal of microbiology Vol.44 No.6
The aim of this study was to characterize the molecular features of serogroup C Neisseria meningitidis strains circulating in Beijing, China. Twenty out of 23 strains belonged to ST 4821. The causative serosubtype for meningococcal meningitis was P1.12-1,16-8. All of the strains expressed class 3 PorB protein. Among the five pulsed-field gel electrophoresis patterns observed, pattern III predominated.
VISCOSITY METHODS OF APPROXIMATION FOR A COMMON SOLUTION OF A FINITE FAMILY OF ACCRETIVE OPERATORS
Chen, Jun-Min,Zhang, Li-Juan,Fan, Tie-Gang The Youngnam Mathematical Society 2011 East Asian mathematical journal Vol.27 No.1
In this paper, we try to extend the viscosity approximation technique to find a particular common zero of a finite family of accretive mappings in a Banach space which is strictly convex reflexive and has a weakly sequentially continuous duality mapping. The explicit viscosity approximation scheme is proposed and its strong convergence to a solution of a variational inequality is proved.
Automatic Acquisition Of Translation Equivalences From Bilingual Corpus
Chun?xiang Zhang,Tie?jun Zhao,Sheng Li 한국어정보학회 2006 한국어정보학 Vol.8 No.1
Translation equivalence is very useful for bilingual lexicography, machine translation system, cross‐lingual information retrieval and many applications in natural language processing. A linear combination model of multiple features is used to filter extracted equivalences in this paper. Experimental results indicate that performance of the combination model surpasses other classifiers’ in open test. 1000 equivalences labeled by linear combination model are randomly selected and then evaluated. Its F1 measure achieves 88.13%. Its performances surpass those classifiers.
Discriminative Models for Automatic Acquisition of Translation Equivalences
Chun-Xiang Zhang,Sheng Li,Tie-Jun Zhao 대한전기학회 2007 International Journal of Control, Automation, and Vol.5 No.1
Translation equivalence is very important for bilingual lexicography, machine translation system and cross-lingual information retrieval. Extraction of equivalences from bilingual sentence pairs belongs to data mining problem. In this paper, discriminative learning methods are employed to filter translation equivalences. Discriminative features including translation literality, phrase alignment probability, and phrase length ratio are used to evaluate equivalences. 1000 equivalences randomly selected are filtered and then evaluated. Experimental results indicate that its precision is 87.8% and recall is 89.8% for support vector machine.