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Search Results: 1 - 10 of 120167 matches for " Lingjuan Wang "
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The Relationship between Employee Psychological Capital and Change-Supportive Behavior—Mediating Effect of Cognitive of Change  [PDF]
Lingjuan Wang
Open Journal of Social Sciences (JSS) , 2015, DOI: 10.4236/jss.2015.34015
Abstract: For the transition period of Chinese enterprises, change has become an important part of corporate life, and employees’ support for change is the key to successful business change. Psychological capital, as a core positive psychological element of employee, plays an important role in organizational change. Drawing upon the existing literature and using a sample of employees, this study investigated the relationship of employee psychological capital, cognitive of change, and change-supportive behavior. Results revealed that employee psychological capital was positively related to change-supportive behavior, with this relationship mediated by cognitive of change.
Organic and Elemental Carbon in Atmospheric Fine Particulate Matter in an Animal Agriculture Intensive Area in North Carolina: Estimation of Secondary Organic Carbon Concentrations  [PDF]
Qian-Feng Li, Lingjuan Wang-Li, R. K. M. Jayanty, Sanjay B. Shah
Open Journal of Air Pollution (OJAP) , 2013, DOI: 10.4236/ojap.2013.21002
Abstract: Carbonaceous components contribute significant fraction of fine particulate matter (PM2.5). Study of organic carbon (OC) and elemental carbon (EC) in PM2.5 may lead to better understanding of secondary organic carbon (SOC) formation. This year-long (December 2008 to December 2009) field study was conducted in an animal agriculture intensive area in North Carolina of United States. Samples of PM2.5 were collected from five stations located in an egg production facility and its vicinities. Concentrations of OC/EC and thermograms were obtained using a thermal-optical carbon analyzer. Average levels of OC in the egg production house and at ambient stations were 42.7 μg/m3 and 3.26 - 3.47 μg/m3, respectively. Average levels of EC in the house and at ambient stations were 1.14 μg/m3 and 0.36 - 0.42 μg/m3, respectively. The OC to total carbon (TC) ratios at ambient stations exceeded 0.67, indicating a significant fraction of SOC presented in PM2.5. Principal factor analysis results suggested that possible major source of in-house PM2.5 was from poultry feed and possible major sources of ambient PM2.5 was from contributions of secondary inorganic and organic PM. Using the OC/EC primary ratio analysis method, ambient stations SOC fractions ranged from 68% to 87%. These findings suggested that SOC could appreciably contribute to total PM2.5 mass concentrations in this agriculture intensive area.
Elemental Compositions and Chemical Mass Closure of Fine Particulate in an Animal Feeding Operation Facility and Its Vicinity  [PDF]
Qian-Feng Li, Lingjuan Wang-Li, R. K. M. Jayanty, Sanjay Shah
Journal of Environmental Protection (JEP) , 2015, DOI: 10.4236/jep.2015.65040
Abstract: Particulate matter (PM) emissions from animal feeding operations (AFOs) have been considered as an important contributor to ambient PM in rural areas. Investigation of the chemical compositions of PM2.5 inside and in the vicinity of AFOs can enhance our understanding of the AFO emissions impact on ambient PM characteristics. This year-long field study was conducted on a commercial egg production farm to investigate ambient PM chemical compositions as impacted by the air emissions from the production houses. The PM2.5 samples were collected from five sampling stations (one in-house station and four ambient locations in four wind directions). The trace elements, major ions, organic carbon (OC) and element carbon (EC) were analyzed by X-ray florescence (XRF), ion chromatography (IC), and thermo-optical analyzer, respectively. There were significant differences in elemental compositions between PM samples from in-house station (ST1) and ambient stations (ST2-ST5). The chemical mass balance analysis revealed that OC accounted for above 50% of PM2.5 mass at in-house and ambient stations; NH4+, SO42-, and NO3- accounted for about 40.0% of the total PM2.5 mass in ambient locations and for only 12% of the total PM2.5 mass in house. The measured PM2.5 masses agreed with the sums of the masses of chemical compositions at all stations except for the in-house station. Knowledge gained from this study, with additional consideration of NH3 concentrations and emissions, will lead to better understanding of PM2.5 source and formation, fate and transport, and their atmospheric dynamics.
Spatiotemporal Variations of Bioaerosols in the Vicinity of an Animal Feeding Operation Facility in the US  [PDF]
Di Hu, Lingjuan Wang-Li, Otto D. Simmons III, John J. Classen, Jason A. Osborne
Journal of Environmental Protection (JEP) , 2015, DOI: 10.4236/jep.2015.66056
Abstract: Bioaerosol emissions from animal feeding operation (AFO) facilities are of increasing interest due to the magnitude of the emissions and their potential health effect on local communities. There is limited information about fate and transport of AFO bioaerosol emissions. In this study, concentrations of airborne bacteria and fungi were measured at four ambient stations in four wind directions surrounding an egg production farm through winter, spring and summer using Andersen six-stage samplers. Mean concentrations of ambient bacteria and fungi ranged from 8.7 × 102 CFU m-3 to 1.3 × 103 CFU m-3 and from 2.8 × 102 CFU m-3 to 1.4 × 103 CFU m-3, respectively. Ambient bacterial concentrations were not significantly different over the seasons, while ambient fungal concentrations were the highest in summer and the lowest in winter. There were significant differences between downwind and upwind bacterial concentrations (p < 0.0001). Downwind bacterial and fungal concentrations responded differently to the influencing factors. Bacterial concentrations were quadratically correlated with wind vector (combined effects of wind speed and direction) and emission rate, were positively correlated with temperature, and were negatively correlated with solar radiation. Fungal concentrations were positively correlated with temperature, RH, and emission rate, and were negatively correlated with wind vector.
Modeling Plume-Rise of Air Emissions from Animal Housing Systems: Inverse AERMOD  [PDF]
Manqing Ying, Lingjuan Wang-Li, Larry F. Stikeleather, Jack Edwards
Journal of Environmental Protection (JEP) , 2017, DOI: 10.4236/jep.2017.811078
Abstract: As fate and transport of air emissions from animal housing systems is of increasing concern, dispersion models have become commonly used tools to estimate the downwind concentrations of pollutants at certain locations surrounding the animal production farms. In application of Gaussian dispersion model for downwind concentration predictions of animal housing emissions, unknown plume rise (△h) and plume shape of the horizontally emitted plumes from animal housing systems have been vital weak points challenging the accuracy of the model predictions. This paper reports an inverse AERMOD modeling study to derive the plum rises of PM10 emissions from mechanically ventilated egg production houses based upon field measurements of PM10 emission rate, downwind concentrations, and meteorological conditions. In total, 87 hourly plume rises were found for 20 days (five days per season for four seasons, from fall 2008 to summer 2009). The mean plume rises for fall 2008, winter 2008, spring 2009 and summer 2009 were 16.2 m (SE = 11.2 m), 7.9 m (SE = 9.5 m), 16.5 m (SE = 12.4 m), and 14.3 m (SE = 10.0 m), respectively. The relationships between plume rises and various factors were tested. While the diurnal patterns of the plume rises were not consistent among different selective days, they generally followed the diurnal patterns of house ventilation rates. Plume rise for weekends were significantly higher than those for weekdays in fall. Multiple linear regression showed a significant positive relationship (p = 0.0134) between wind speed and the plume rises. Ambient relative humidity and total volume flow were also found to be slightly (p = 0.171 and 0.217, respectively) related to the plume rises.
Measurements and Visualization of the Fluid Field of the Plume from an Animal Housing Ventilation Fan  [PDF]
Manqing Ying, Lingjuan Wang-Li, Larry F. Stikeleather, Jack Edwards
Journal of Environmental Protection (JEP) , 2017, DOI: 10.4236/jep.2017.811080
Abstract: Various dispersion models have been developed to simulate the fate and transport of air emissions from animal housing systems to meet the increasing need for knowledge in this area. However, the accuracy of the models may be challenged due to the unknown plume rise and plume shape. This paper reports a combination of theoretical and field study of the plum rise and shape of air flow from a ventilation fan commonly used in mechanically ventilated animal houses. The theoretical modeling of the plume shape was conducted using a commercial Computational Fluid Dynamics (CFD) package named FloEFD; the field measurements of the plume field was conducted using five 3D ultrasonic anemometers to simultaneously measure the air flow in the plume at various locations (four heights and five downwind distances). The TECPLOT package was used to visualize the plume flow field based upon anemometer measurements. While the plume shapes were found to be left-shifted by the CFD model and TECPLOT visualization, the magnitudes of the 3D wind velocities from field measurement were found to be significantly larger than those from CFD model. The plume field measurements indicated that the plume of a 0.6 m (24-inch) ventilation fan had a depth about 9 m, a width about ±6 m, and a rise (lifting) beyond the highest measurement point, 4.88 m (16 ft).
Estimate on the Dimension of Global Attractor for Nonlinear Higher-Order Coupled Kirchhoff Type Equations  [PDF]
Guoguang Lin, Lingjuan Hu
Advances in Pure Mathematics (APM) , 2018, DOI: 10.4236/apm.2018.81002
Abstract: In this paper, we investigate the finite dimensions of the global attractor for nonlinear higher-order coupled Kirchhoff type equations with strong linear damping in Hilbert spaces E0?and E1. Under the appropriate assumptions, we acquire a precise estimate of the upper bound for its Hausdorff and Fractal dimensions.
The Inertial Manifold for a Class of Nonlinear Higher-Order Coupled Kirchhoff Equations with Strong Linear Damping  [PDF]
Guoguang Lin, Lingjuan Hu
International Journal of Modern Nonlinear Theory and Application (IJMNTA) , 2018, DOI: 10.4236/ijmnta.2018.72003
Abstract: This paper considers the long-time behavior for a system of coupled wave equations of higher-order Kirchhoff type with strong damping terms. Using the Hadamard graph transformation method, we obtain the existence of the inertial manifold while such equations satisfy the spectral interval condition.
Widely Tunable Sampled-Grating DBR Laser
Kan Qiang,Zhao Lingjuan,Zhang Jing,Zhou Fan,Wang Baojun,Wang Lufeng,and Wang Wei
半导体学报 , 2005,
Abstract: The 3-section SG-DBR tunable laser is fabricated using an ion implantation quantum-well intermixing process.The over 30nm discontinuous tuning range is achieved with the SMRS greater than 30dB.
Low-Microwave Loss Coplanar Waveguides Fabricated on High-Resistivity Silicon Substrate
Yang Hu,Zhu Hongliang,Xie Hongyun,Zhao Lingjuan,Zhou Fan,Wang Wei,
Yang Hu
,Zhu Hongliang,Xie Hongyun,Zhao Lingjuan,Zhou Fan,Wang Wei

半导体学报 , 2006,
Abstract: 分别在普通的低阻硅衬底、带有3μm厚氧化硅介质层的低阻硅衬底和高阻硅衬底上设计并制备了微波传输共面波导.结果表明,低阻硅衬底导致过高的微波损耗从而不能使用,通过加氧化硅介质层,微波损耗可以大大减少,但是需要较厚的氧化硅厚度.直接制备在高阻硅衬底上的共面波导在所测试的26GHz的频率范围内获得低于2dB/cm的微波损耗,而且工艺十分简单.
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