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Search Results: 1 - 10 of 23192 matches for " Jinghua Yuan "
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Molecular and functional analyses of COPT/Ctr-type copper transporter-like gene family in rice
Meng Yuan, Xianghua Li, Jinghua Xiao, Shiping Wang
BMC Plant Biology , 2011, DOI: 10.1186/1471-2229-11-69
Abstract: Here we report the molecular and functional characterization of the other five members of the rice COPT gene family (COPT2, COPT3, COPT4, COPT6, and COPT7). All members of the rice COPT family have the conserved features of known COPT/Ctr-type Cu transporter genes. Among the proteins encoded by rice COPTs, COPT2, COPT3, and COPT4 physically interacted with COPT6, respectively, except for the known interaction between COPT1 and COPT5. COPT2, COPT3, or COPT4 cooperating with COPT6 mediated a high-affinity Cu uptake in the yeast Saccharomyces cerevisiae mutant that lacked the functions of ScCtr1 and ScCtr3 for Cu uptake. COPT7 alone could mediate a high-affinity Cu uptake in the yeast mutant. None of the seven COPTs alone or in cooperation could complement the phenotypes of S. cerevisiae mutants that lacked the transporter genes either for iron uptake or for zinc uptake. However, these COPT genes, which showed different tissue-specific expression patterns and Cu level-regulated expression patterns, were also transcriptionally influenced by deficiency of iron, manganese, or zinc.These results suggest that COPT2, COPT3, and COPT4 may cooperate with COPT6, respectively, and COPT7 acts alone for Cu transport in different rice tissues. The endogenous concentrations of iron, manganese, or zinc may influence Cu homeostasis by influencing the expression of COPTs in rice.Copper (Cu) is an essential micronutrient for living organisms. Cu, as a cofactor in proteins, is involved in a wide variety of physiological processes. Cu has an impact on the development of the nervous system in animals and humans; deficiency of this micronutrient causes Menkes syndrome in humans [1,2]. In plants, Cu is associated with various physiological activities, such as photosynthesis, mitochondrial respiration, superoxide scavenging, cell wall metabolism, and ethylene sensing [3]. Cu deficiency causes diverse abnormal phenotypes in plants, including decreased growth and reproductive development, disto
Coupling and feedback between iron and sulphur in air-sea exchange
Guoshun Zhuang,Jinghua Guo,Hui Yuan,Xingying Zhang
Chinese Science Bulletin , 2003, DOI: 10.1007/BF03185756
Abstract: Iron in surface seawater has been demonstrated to be the limiting nutrient factor for primary productivity in certain oceanic regions. In 1992 we reported inNature at first Fe(II) existence in marine aerosols over the remote Pacific and Atlantic and proposed the hypothesis of coupling and feedback between iron and sulfur in air-sea exchange. We recently detected a considerable amount of Fe(II) in the aerosols collected during dust storm in Beijing. The concentration of Fe(II) in the dust storm was as high as 1.8–4.3 g · m 3 that accounted for 1.4% –2.6% of the total Fe mass concentration in aerosols, while Fe(II) in the aerosols collected from non-dust storm days was 0.7% of the total Fe. Fe and S concentrations in the dust storm aerosol samples represent a very positive correlationship. The size distribution of Fe, Fe(II), and S in either dust storm particles or the normal aerosols showed the same peak at 1–3 μm. The oxidation of S(IV) under natural light and UV in addition of Fe(III) was 6.5 and 14 times faster respectively compared with that of non-addition. The photoreduction of Fe(□) to Fe(II), through the formation of an OH radical, associated with the oxidation of S(IV) to S(VI) could account for ~3%–20% of the formation of non-sea salt sulfate aerosols at Midway, central Pacific. These results further support the Fe-S coupling hypothesis. From consideration of both the marine biological production of dimethylsulphide (DMS) and the subsequent oxidation of reduced forms of sulfur in the atmosphere, the iron and sulphur cycles in both the atmosphere and the ocean may be closely coupled.
Characteristics and sources of 2002 super dust storm in Beijing
Yele Sun,Guoshun Zhuang,Hui Yuan,Xingying Zhang,Jinghua Guo
Chinese Science Bulletin , 2004, DOI: 10.1007/BF03184268
Abstract: On 20 March, 2002, a super dust storm attacked Beijing, which was stronger than any dust storm ever recorded. The concentration of total suspended particulates (TSP) reached 10.9 mg · m 3, 54 times as high as the national air quality standard. The concentrations of major crustal elements, such as Ca, Al, Fe, Na, Mg and Ti, were 30–58 times higher than those in non-dust storm days. The concentrations of pollution elements, such as Zn, Cu, Pb, As, Cd and S, were also about several or even nearly ten times higher than those in normal days. The enrichment factors of Pb, As, Cd and S in PM2.5 were as high as 12.7, 29.6, 43.5, 28.4, indicating that these pollutants came from the mixing of mineral aerosol with pollution aerosol emitted by pollution sources on the way of dust storm’s long-range transport. The overlap of invaded air mass from dust with pollution air mass from Beijing local area was another reason for the enhancement of pollutants. During dust storm, fine particles (PM2.5) accounted for 30% of TSP and pollutants in PM2.5 accounted for even as high as 45%–69% of TSP. The increase of pollutants after dust storm proved further that mineral aerosol, especially the fine particles from dust storm favored the transformation and accumulation of pollutants. It must be noted that Fe (II) was detected again in this dust storm, which provided new evidence for the mechanism of coupling and feedback between iron and sulfur in the atmosphere and the ocean. The increase of both pollutants and nutrient, Fe(II), during dust storm illuminated that dust storm is an important factor affecting the global environment change.
The compositions, sources, and size distribution of the dust storm from China in spring of 2000 and its impact on the global environment
Guoshun Zhuang,Jinghua Guo,Hui Yuan,Chengyi Zhao
Chinese Science Bulletin , 2001, DOI: 10.1007/BF02900460
Abstract: The average mass concentration of the aerosols in Beijing during the dust storm in the spring of 2000 was ~6000 μg · m 3, ~30 times as high as that in the non-dust storm days. The enrichment factors of the pollution elements As, Sb and Se were higher than those in the non-dust storm days. This indicated that As, Sb and Se resulted from the pollution sources of those areas, through which the dust storm passed during their long-range transport, in addition to the local pollution sources in Beijing. The enrichment factors of the Pb, Zn, Cd and Cu were much less than those in the non-dust storm days, suggesting that the local pollution sources in Beijing area contributed to them mostly. The enrichment factors of elements Al, Fe, Sc, Mn, Na, Ni, Cr, V and Co were close to 1, showing that these elements originated from crust. The concentration of S in the dust storm was ~10 μg · m 3,4 times as high as that in non-dust storm. S in the aerosols resulted from the adsorption of gaseous SO2 and the consequent transformation on it. The aerosols of the dust storm contained 16.1% and 76.9% of fine particles with the sizes less than 2.1 and 9.0 μm, respectively, while it had a large number of coarse particles. It was noted that a considerable portion of Fe(II) was detected from the dust storm. Fe(II) could easily dissolve in seawater to be nutrient for phytoplankton and would lead to the increase of the emission of dimethylsulfide (DMS) from the ocean. The feedbacks of Fe coupled with S in atmosphere might be the important mechanism that would affect the primary productivity in Pacific and/or the global climate change.
The compositions, sources, and size distribution of the dust storm from China in spring of 2000 and its impact on the global environment

ZHUANG Guoshun,GUO Jinghua,YUAN Hui,ZHAO Chengyi,

科学通报(英文版) , 2001,
Abstract: The average mass concentration of the aerosols in Beijing during the dust storm in the spring of 2000 was ~6000 μg · m 3, ~30 times as high as that in the non-dust storm days. The enrichment factors of the pollution elements As, Sb and Se were higher than those in the non-dust storm days. This indicated that As, Sb and Se resulted from the pollution sources of those areas, through which the dust storm passed during their long-range transport, in addition to the local pollution sources in Beijing. The enrichment factors of the Pb, Zn, Cd and Cu were much less than those in the non-dust storm days, suggesting that the local pollution sources in Beijing area contributed to them mostly. The enrichment factors of elements Al, Fe, Sc, Mn, Na, Ni, Cr, V and Co were close to 1, showing that these elements originated from crust. The concentration of S in the dust storm was ~10 μg · m 3,4 times as high as that in non-dust storm. S in the aerosols resulted from the adsorption of gaseous SO2 and the consequent transformation on it. The aerosols of the dust storm contained 16.1% and 76.9% of fine particles with the sizes less than 2.1 and 9.0 μm, respectively, while it had a large number of coarse particles. It was noted that a considerable portion of Fe(II) was detected from the dust storm. Fe(II) could easily dissolve in seawater to be nutrient for phytoplankton and would lead to the increase of the emission of dimethylsulfide (DMS) from the ocean. The feedbacks of Fe coupled with S in atmosphere might be the important mechanism that would affect the primary productivity in Pacific and/or the global climate change.
Coupling and feedback between iron and sulphur in air-sea exchange
ZHUANG Guoshun,GUO Jinghua,YUAN Hui,ZHANG Xingying,
ZHUANG Guoshun
,GUO Jinghua,YUAN Hui,ZHANG Xingying

科学通报(英文版) , 2003,
Abstract: Iron in surface seawater has been demonstrated to be the limiting nutrient factor for primary productivity in certain oceanic regions where other major nutrients are abundant1—5]. The available Fe to the phytoplankton in seawater is related to the uptake of carbon dioxide through the ocean and, in turn, to the global greenhouse effect6—11]. Recent reports showed that the available Fe in the seawater is closely correlative to nitrogen fixation in the ocean12—17]. Understanding which Fe s…
The Impact of Terms of Trade Changes on Economic Welfare: Evidence from China  [PDF]
Jinghua Han, Zhihui Zhang
Modern Economy (ME) , 2012, DOI: 10.4236/me.2012.34055
Abstract: Based on the statistics of 1993-2010, this paper analyzes the changing trend and causes of terms of trade in China and studies the overall movement in China’s national wealth by introducing the GDI index under SNA accounting framework. This paper analyzes the relevance between export and real GDP by using the Pearson correlation and partial correlation method, with the final consumption as the economic welfare evaluation index. This paper also presents the change of national wealth by using the weak axiom of revealed preference theory. The result of the study shows that, China’s economic growth is not strongly dependent on exports. It is the export structure of labor intensive products with low price elasticity that mainly lead to the continuously decline of terms of trade in China. However the loss of welfare from the terms of trade’s decline is not enough to offset the benefits of the economic growth. Therefore there is no probability of “Immiserizing Growth” in China’s foreign trade.
Algorithm of Iterative Process for Some Mappings and Iterative Solution of Some Diffusion Equation  [PDF]
Wenjun Liu, Jinghua Meng
Open Journal of Applied Sciences (OJAppS) , 2012, DOI: 10.4236/ojapps.2012.24B015
Abstract: In Hilbert spaces , through improving some corresponding conditions in some literature and extending some recent relevent results, a strong convergence theorem of some implicit iteration process for pesudocon-traction mappings and explicit iteration process for nonexpansive mappings were established. And by using the result, some iterative solution for some equation of response diffusion were obtained.
Gene- or region-based association study via kernel principal component analysis
Qingsong Gao, Yungang He, Zhongshang Yuan, Jinghua Zhao, Bingbing Zhang, Fuzhong Xue
BMC Genetics , 2011, DOI: 10.1186/1471-2156-12-75
Abstract: Simulation results showed that KPCA-LRT was always more powerful than principal component analysis combined with logistic regression test (PCA-LRT) at different sample sizes, different significant levels and different relative risks, especially at the genewide level (1E-5) and lower relative risks (RR = 1.2, 1.3). Application to the four gene regions of rheumatoid arthritis (RA) data from Genetic Analysis Workshop16 (GAW16) indicated that KPCA-LRT had better performance than single-locus test and PCA-LRT.KPCA-LRT is a valid and powerful gene- or region-based method for the analysis of GWAS data set, especially under lower relative risks and lower significant levels.It is commonly believed that genetic factors play an important role in the etiology of common diseases and traits. With rapid improvements in high-throughout genotyping techniques and the growing number of available markers, genome-wide association studies (GWAS) have been promising approaches for identifying common genetic variants. The first successful wave of GWAS has reproducibly identified hundreds of associations of common genetic variants with more than 100 diseases and traits, including age-related macular degenerative diseases [1], Parkinson's disease [2] and type 2 diabetes [3,4]. Recently GWAS meta-analysis, which combines the evidence for association from individual studies with appropriate weights, is becoming an increasingly important method to identify new loci of complex disease and traits [5-7]. Although this has improved our understanding of the genetic basis of these complex diseases and traits, and has provided valuable clues to their allelic architecture, there are still many analytic and interpretation challenges in GWAS [8-11]. For both GWAS and GWAS meta-analysis, it is customary to run single-locus association tests in the whole genome to identify causal or associated single nucleotide polymorphisms (SNPs) with strong marginal effects on disease or traits. However, such a SNP-by-S
Source apportionment for urban PM10 and PM2.5 in the Beijing area
Wei Zhang,JingHua Guo,YeLe Sun,Hui Yuan,GuoShun Zhuang,YaHui Zhuang,ZhengPing Hao
Chinese Science Bulletin , 2007, DOI: 10.1007/s11434-007-0076-5
Abstract: Airborne particulate matter (PM2.5 and PM10) samples were collected at the Beijing Normal University sampling site in the urban area of Beijing, China in dry and wet seasons during 2001–2004. Concentrations of 23 elements and 14 ions in particulate samples were determined by ICP-AES and IC, respectively. Source apportionment results derived from both Positive Matrix Factorization (PMF) and Chemical Mass Balance (CMB) models indicate that the major contributors of PM2.5 and PM10 in Beijing are: soil dust, fossil fuel combustion, vehicle exhausts, secondary particulate, biomass burning and some industrial sources. We have identified both regional common sources, such as vehicular emissions, particulate of secondary origin and biomass burning, as well as country-specific problems, such as sand storms and soil dust that should be addressed for effective air quality control.
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