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Search Results: 1 - 10 of 78165 matches for " Chen Jinsheng "
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Pollution Characteristics of PM2.5 during a Typical Haze Episode in Xiamen, China  [PDF]
Fuwang Zhang, Jinsheng Chen, Tianxue Qiu, Liqian Yin, Xiaoqiu Chen, Jianshuan Yu
Atmospheric and Climate Sciences (ACS) , 2013, DOI: 10.4236/acs.2013.34044

In this study, mass concentrations and chemical compositions of fine particles, mass concentrations of coarse particles, light extinction, and meteorological parameters in the atmosphere ofXiamenwere presented and analyzed to study the chemical and optical characteristics of a typical haze episode from Dec 25, 2010 to Jan 1, 2011. The major chemical compositions of PM2.5, such as water soluble inorganic ions (WSIIs), carbonaceous fractions (mainly composed of organic carbon (OC) and elemental carbon (EC)), and elements were determined. The results showed that with the typical haze episode process, the concentrations of PM2.5 mass, WSIIs, OC, EC, and TE first increased and then decreased. The average concentrations of PM2.5 mass in the stages of Before Haze, During Haze, and After Haze were (88.80 ± 19.97), (135.41 ± 36.20), and (96.35 ± 36.26) μg/m3, respectively. The corresponding average concentrations of secondary organic carbon (SOC) were 6.72, 8.18, and 10.39 μg/m3, accounting for 46.5%, 27.0%, and 61.0% of OC, respectively. S42- , NO3-, and NH4+ were three major WSIIs species, accounting for 31.4%, 26.0%, and 12.1% of total WSIIs. The major elements in PM2.5 were S, K, Fe, Zn, Pb, Ti, and Mn, covering 97.9% of the total elements, while the percentage of the other ten elements was only 2.1%. The average value of light extinction coefficients (bext) was 371.0 ±147.1 Mm-1 during the typical haze episode. The average percentage contributions to bext were 39.3% for organic mass, 19.9% for elemental carbon, 16.0% for ammonium sulfate, 13.0% for coarse mass, and 11.8% for ammonium nitrate.

Mode of Talents Training in Media --- A Comparative Research between Mainland China and Taiwan
Chih-Chung Chen,Jinsheng Zhang
Asian Social Science , 2009, DOI: 10.5539/ass.v5n12p11
Abstract: In China, with increasing maturity of media and continuous emergence of new media, demand on media managers is urgent day by day. However, media management itself is a subject with combination of compound, pluralism, theory and practice. It is easy to train common journalists, but it is quite difficult to train media talents of high quality proficient in management. This article is going to mainly compare modes of talent training between Taiwan and Mainland China, and will emphasize especially on training mechanism of media talents in colleges and universities in Taiwan, in the hope of offering reference for talent training in Mainland China.
MicroRNA Profiling and Head and Neck Cancer
Xiqiang Liu,Zugen Chen,Jinsheng Yu,James Xia,Xiaofeng Zhou
Comparative and Functional Genomics , 2009, DOI: 10.1155/2009/837514
Abstract: Head and neck/oral cancer (HNOC) is a devastating disease. Despite advances in diagnosis and treatment, mortality rates have not improved significantly over the past three decades. Improvement in patient survival requires a better understanding of the disease progression so that HNOC can be detected early in the disease process and targeted therapeutic interventions can be deployed. Accumulating evidence suggests that microRNAs play important roles in many human cancers. They are pivotal regulators of diverse cellular processes including proliferation, differentiation, apoptosis, survival, motility, and morphogenesis. MicroRNA expression patterns may become powerful biomarkers for diagnosis and prognosis of HNOC. In addition, microRNA therapy could be a novel strategy for HNOC prevention and therapeutics. Recent advances in microRNA expression profiling have led to a better understanding of the cancer pathogenesis. In this review, we will survey recent technological advances in microRNA profiling and their applications in defining microRNA markers/targets for cancer prediction, diagnostics, treatment, and prognostics. MicroRNA alterations that consistently identified in HNOC will be discussed, such as upregulation of miR-21, miR-31, miR-155, and downregulation of miR-26b, miR-107, miR-133b, miR-138, and miR-139.
Characterization of polycyclic aromatic hydrocarbons and gas/particle partitioning in a coastal city, Xiamen, Southeast China

Jinping Zhao,Fuwang Zhang,Jinsheng Chen,Ya Xu,

环境科学学报(英文版) , 2010,
Quantification, morphology and source of humic acid, kerogen and black carbon in offshore marine sediments from Xiamen Gulf, China
Yanting Chen,Jinping Zhao,Liqian Yin,Jinsheng Chen,Dongxing Yuan,
Yanting Chen
,Jinping Zhao,Liqian Yin,Jinsheng Chen,Dongxing Yuan

环境科学学报(英文版) , 2013,
Abstract: Three types of macromolecular organic matters (MOMs), i.e. humic acid (HA), kerogen+black carbon (KB), and black carbon (BC) were extracted from marine sediments of Xiamen Gulf, southeast of China. The chemical composition, morphological property and source of the three extractions were characterized by elemental analyzer/isotope ratio mass spectrometry (EA/IRMS) and scanning electron microscope (SEM). The results showed that KB was the predominant fraction in MOMs, which accounted for 61.79%-89.15% of the total organic content (TOC), while HA consisted less than 5%. The relative high contents of kerogen and BC, and low contents of HA in the samples indicated that anthropogenic input might be the major source of organic matter in marine sediments near the industrial regions. The characterization of SEM, not only revealed morphological properties of the three fractions, but also allowed a better understanding of the source of MOMs. The δ13C values of the three fractions suggested that materials from terrestrial C3 plants were predominant. Furthermore, the anthropogenic activities, such as the discharge of sewage, coal and biomass combustion from industry nearby and agricultural practices within drainage basin of the Jiulong River, were remarkably contributed to the variations in δ13C values of MOMs in the offshore marine sediments.
Chemical compositions of PM2.5 aerosol during haze periods in the mountainous city of Yong''an, China
Liqian Yin,Zhenchuan Niu,Xiaoqiu Chen,Jinsheng Chen,Lingling Xu,Fuwang Zhang,
Liqian Yin
,Zhenchuan Niu,Xiaoqiu Chen,Jinsheng Chen,Lingling Xu,Fuwang Zhang

环境科学学报(英文版) , 2012,
Abstract: Haze phenomena were found to have an increasing tendency in recent years in Yong'an, a mountainous industrial city located in the center part of Fujian Province, China. Atmospheric fine particles (PM2.5) in the urban area during haze periods in three seasons (spring, autumn and winter) from 2007 to 2008 were collected, and the mass concentrations and chemical compositions (seventeen elements, water soluble inorganic ions (WSIIs) and carbonaceous species) of PM2.5 were determined. PM2.5 mass concentrations did not show a distinct difference among the three seasons. The carbonaceous species organic carbon (OC) and elemental carbon (EC) constituted up to 19.2%-30.4% of the PM2.5 mass during sampling periods, while WSIIs made up 25.3%-52.5% of the PM2.5 mass. The major ions in PM2.5 were SO42-, NO3- and NH4+, while the major elements were Si, K, Pb, Zn, Ca and Al. The experimental results (from data based on three haze periods with a 10-day sampling length for each period) showed that the crustal element species was the most abundant component of PM2.5 in spring, and the secondary ions species (SO42-, NO3-, NH4+, etc.) was the most abundant component in PM2.5 in autumn and winter. This indicated that dust was the primary pollution source for PM2.5 in spring and combustion and traffic emissions could be the main pollution sources for PM2.5 in autumn and winter. Generally, coal combustion and traffic emissions were considered to be the most prominent pollution sources for this city on haze days.
Adaptive Hybrid Function Projective Synchronization of Chaotic Systems with Time-Varying Parameters
Jinsheng Xing
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/619708
Abstract: The adaptive hybrid function projective synchronization (AHFPS) of different chaotic systems with unknown time-varying parameters is investigated. Based on the Lyapunov stability theory and adaptive bounding technique, the robust adaptive control law and the parameters update law are derived to make the states of two different chaotic systems asymptotically synchronized. In the control strategy, the parameters need not be known throughly if the time-varying parameters are bounded by the product of a known function of t and an unknown constant. In order to avoid the switching in the control signal, a modified robust adaptive synchronization approach with the leakage-like adaptation law is also proposed to guarantee the ultimately uni-formly boundedness (UUB) of synchronization errors. The schemes are successfully applied to the hybrid function projective synchronization between the Chen system and the Lorenz system and between hyperchaotic Chen system and generalized Lorenz system. Moreover, numerical simulation results are presented to verify the effectiveness of the proposed scheme.
Carbon cycling of Chinese forests: From carbon storage, dynamics to models
JinSheng He
Science China Life Sciences , 2012, DOI: 10.1007/s11427-012-4285-z
CBR Applications in Combustion Control of Blast Furnace Stoves
SUN Jinsheng
Lecture Notes in Engineering and Computer Science , 2008,
Wireless Sludge Level Monitoring based on Bluetooth Sensing Nodes
SUN Jinsheng
Lecture Notes in Engineering and Computer Science , 2008,
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