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Search Results: 1 - 10 of 34825 matches for " Weihong Lu "
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Periodic oscillations in millennial global-mean temperature and their causes
WeiHong Qian,Bo Lu
Chinese Science Bulletin , 2010, DOI: 10.1007/s11434-010-4204-2
Abstract: Time series of solar radiation and north Pacific sea surface temperature (SST) index were used to analyze their causality relationship with various periodic oscillations in reconstructed millennial global-mean temperature series. The three long-term periods of the Medieval Warm Period (MWP), Little Ice Age (LIA) and recent Global Warming Period (GWP) were distinct in the temperature series. 21-year, 65-year, 115-year and 200-year oscillations were derived from the temperature series after removing three long-term climatic temperatures. The phases of temperature oscillations significantly lagged behind oceanic SST and solar radiation variability. The recent decadal warm period was caused by the quasi-21-year temperature oscillation. At this century-cross period, the four oscillations reached their peaks simultaneously, which did not occur during the last millennium. Based on the long-term trend during the GWP and the four periodic oscillations, global-mean temperature is expected to drop to a new cool period in the 2030s and then a rising trend would be towards to a new warm period in the 2060s.
How would global-mean temperature change in the 21st century?
WeiHong Qian,Bo Lu,CongWen Zhu
Chinese Science Bulletin , 2010, DOI: 10.1007/s11434-010-3258-5
Abstract: The time series of HadCRUT3 global-mean surface air temperature (GSAT) anomaly, Pacific decadal oscillation (PDO) index, and the equatorial Pacific sea surface temperature (SST) were utilized, and their long-term trends and multiple time-scale periodic oscillations were explored in this study. A long-term trend with a warming rate about 0.44°C /century during 1850–2008, two cool floors occurred respectively around 1910 and during 1950–1970, and three warm flats happened in the 1870s, 1940s and since the year 1998 were found in the GSAT. In this duration, the variability of GSAT can be well reconstructed by the quasi-21-year, the quasi-65-year, and century-scale oscillations. The recent decadal warm flat is caused by their positive phase overlapping from these three oscillations. The maximum rising temperature reached 0.26°C was simulated in 2004 by the three oscillations. The quasi-21-year and the quasi-65-year oscillations were possibly caused by solar radiation and internal variability of the ocean-atmosphere system. Therefore, an outlook of GSAT for the 21st century was made based on the long-term trend and these three oscillations. It was expected that a cool floor and a warm flat of the GSAT would appear in the 2030s and 2060s, respectively. However, the highest warming range is predicted about 0.6°C, it is less than the threshold 2°C and IPCC projection.
Changes in fossil-fuel carbon emissions in response to interannual and interdecadal temperature variability
WeiHong Qian,Bo Lu,HaoYuan Liang
Chinese Science Bulletin , 2011, DOI: 10.1007/s11434-010-4279-9
Abstract: Relationships on interannual and interdecadal timescales among global mean air temperature, CO2 concentrations and fossil-fuel carbon emissions in four major developed countries (the United States, the United Kingdom, France, and Germany) were analyzed. On an interannual timescale, the United States fossil-fuel carbon emissions tend to increase during cold winters and decrease during warm winters, which is opposite to the situation in summer. On an interdecadal timescale, cold (warm) periods both in the United States and globally agree with high (low) periods of fossil-fuel carbon emissions, with the temperature variability leading by 5–7 years. The leading correlation on the interdecadal timescale and the asymmetry in seasonal correlation on the interannual timescale indicate that temperature variability is a possible cause of changes in fossil-fuel carbon emissions.
On Star Duality of Mixed Intersection Bodies
Fenghong Lu,Weihong Mao,Gangsong Leng
Journal of Inequalities and Applications , 2007,
Abstract: A new kind of duality between intersection bodies and projection bodies is presented. Furthermore, some inequalities for mixed intersection bodies are established. A geometric inequality is derived between the volumes of star duality of star bodies and their associated mixed intersection integral.
On Star Duality of Mixed Intersection Bodies
Lu Fenghong,Mao Weihong,Leng Gangsong
Journal of Inequalities and Applications , 2006, DOI: 10.1155/2007/39345
Abstract: A new kind of duality between intersection bodies and projection bodies is presented. Furthermore, some inequalities for mixed intersection bodies are established. A geometric inequality is derived between the volumes of star duality of star bodies and their associated mixed intersection integral.
Preliminary Investigation on the Chemical Constituents and Antioxidant Activities of Two Phellinus Mushrooms Collected in Foshan  [PDF]
Feng Zhu, Weihong Lu, Weijie Feng, Zhaofeng Song, Chunyan Wang, Xin Chen
International Journal of Organic Chemistry (IJOC) , 2017, DOI: 10.4236/ijoc.2017.71003
Abstract: The Phellinus mushrooms have been known for its immunomodulatory, hypolipidemic, and anticancer activities. In the current work, the chemical constituents of two Phellinus mushrooms, Phellinus pini 141016# and Phellinus sp. 150802#, which were collected in Foshan city, Guangdong province, were investigated preliminarily by pre-test tube method and by comparison with the known natural compounds from Phellinus pini, and their antioxidant activities were evaluated by the biochemical assay of hydroxyl and 2,2-diphenyl-1-pricylhydrazyl (DPPH) radicals scavenging activity in vitro. The results show that both the two Phellinus mushrooms contain phenolics, alkaloids, lactones, steroids and terpenoids, and have potent antioxidant activities. The IC50 values of DPPH radicals and hydroxyl radicals for Phellinus pini 141016# were 74.37 μg/mL and 59.69 μg/mL, respectively, and the IC50 values of DPPH radicals and hydroxyl radicals for Phellinus sp. 150802# were 98.95 μg/mL and 165.47 μg/mL, respectively. They are comparable to the antioxidant activity of the standard antioxidant ascorbic acid.
Structural Insights into TIR Domain Specificity of the Bridging Adaptor Mal in TLR4 Signaling
Zhijie Lin, Jing Lu, Weihong Zhou, Yuequan Shen
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0034202
Abstract: MyD88 adaptor-like protein (Mal) is a crucial adaptor that acts as a bridge to recruit the MyD88 molecule to activated TLR4 receptors in response to invading pathogens. The specific assembly of the Toll/interleukin-1 receptor (TIR) domains of TLR4, Mal and MyD88 is responsible for proper signal transduction in the TLR4 signaling pathway. However, the molecular mechanism for the specificity of these TIR domains remains unclear. Here, we present the crystal structure of the TIR domain of the human Mal molecule (Mal-TIR) at a resolution of 2.4 ?. Unexpectedly, Mal-TIR exhibits an extraordinarily long AB loop, but no αB helix or BB loop, distinguishing it from other TIR domains. More importantly, the Mal-TIR AB loop is capable of mediating direct binding to the TIR domains of TLR4 and MyD88 simultaneously. We also found that Mal-TIR can form a back-to-back dimer that may resemble the dimeric assembly of the entire Mal molecule. Our data demonstrate the bridge role of the Mal-TIR domain and provide important information about TIR domain specificity.
Reference Intervals for Serum Cystatin C and Factors Influencing Cystatin C Levels Other than Renal Function in the Elderly
Lu Wei, Xiaoshuang Ye, Xiaohua Pei, Jianqing Wu, Weihong Zhao
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0086066
Abstract: Objective The present study aimed to establish reference intervals for serum cystatin C (Scys-C) stratified by stages of chronic kidney disease, explore factors influencing Scys-C and compare the performance of Scys-C with serum creatinine (Scr) in the young and elderly. Methods A total of 800 participants, 516 young (<60 years) and 284 old (≥60 years) subjects were included in this study. Scys-C and Scr were assayed by the partical-enhanced immunoturbidimetry method and enzymatic method respectively. 95% reference interval was adopted to evaluate reference intervals. Influencing factors were characterized by multivariate linear regression analysis. Relationship between reference glomerular filtration rate (rGFR) and Scys-C or Scr was determined by correlation coefficient. Results Reference intervals for Scys-C were calculated to be 0.71–1.38 mg/L, 0.83–1.67 mg/L, 1.02–2.61 mg/L, 1.32–4.48 mg/L, 1.95–6.11 mg/L in the aged in CKD G1, G2, G3a, G3b and G4-5 stages, respectively. Body mass index(BMI), nephritis, kidney neoplasm and hypertension were demonstrated as factors affecting Scys-C in the elderly while gender, nephritis and kidney neoplasm were clarified as influencing factors in the young group. Scr levels were affected by more factors, such as body surface area and hematological disease. Correlation coefficient between rGFR and Scys-C or Scr showed that serum Scys-C was superior to Scr, especially in the subjects with mildly decreased renal function (?0.593 vs. ?0.520). Conclusions Factors other than renal function influenced Scys-C when applying to evaluate glomerular filtration rate (GFR), such as BMI, nephritis, kidney neoplasm and hypertension, and Scys-C had higher correlation with GFR than Scr in the elderly.
A Novel Spatial Clustering Algorithm Based on Delaunay Triangulation  [PDF]
Xiankun Yang, Weihong Cui
Journal of Software Engineering and Applications (JSEA) , 2010, DOI: 10.4236/jsea.2010.32018
Abstract: Exploratory data analysis is increasingly more necessary as larger spatial data is managed in electro-magnetic media. Spatial clustering is one of the very important spatial data mining techniques which is the discovery of interesting rela-tionships and characteristics that may exist implicitly in spatial databases. So far, a lot of spatial clustering algorithms have been proposed in many applications such as pattern recognition, data analysis, and image processing and so forth. However most of the well-known clustering algorithms have some drawbacks which will be presented later when ap-plied in large spatial databases. To overcome these limitations, in this paper we propose a robust spatial clustering algorithm named NSCABDT (Novel Spatial Clustering Algorithm Based on Delaunay Triangulation). Delaunay dia-gram is used for determining neighborhoods based on the neighborhood notion, spatial association rules and colloca-tions being defined. NSCABDT demonstrates several important advantages over the previous works. Firstly, it even discovers arbitrary shape of cluster distribution. Secondly, in order to execute NSCABDT, we do not need to know any priori nature of distribution. Third, like DBSCAN, Experiments show that NSCABDT does not require so much CPU processing time. Finally it handles efficiently outliers.
Structural Change Modeling of Singapore Private Housing Price in Simultaneous Equation Model  [PDF]
Weihong Huang, Yang Zhang
Journal of Financial Risk Management (JFRM) , 2012, DOI: 10.4236/jfrm.2012.12002
Abstract: This paper investigates the structural change behavior of Singapore’s private housing market and in particular the impact of government policies on housing price determination. A structural model of price is established and the “Regressive Segmentation (RS)” method is applied to detect the changing points without prior knowledge of the structural changes. Our study shows that the changing points indicated by the RS method are consistent with the timing of the policy changes.
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