Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Yong HAN
Total Records ( 2 ) for Yong HAN
  Yong Han , Bei Zhao and Hua-Ming Song
  In this study, we investigate the two-ordering newsvendor with demand information updating. In this background, the retailers can take advantage of the demand information that gathered between the first stage and the second stage to update demand forecast with Bayesian principle. We then establish the two-stage ordering model for maximizing the conditional value at risk (denoted as CVaR) of optimal profits and use dynamic programming methods to analyze the existence and uniqueness of the optimal solution. Next, we design the optimal solution algorithm and give numerical analysis with a real case example in which we discuss that the retailer's decision-making is related to the risk coefficient. The higher the degree of the risk (the smaller of) is, the smaller the value of profits is. The research results show that risk-neutral model is only a special case of CVaR decision rule. This study extends the two-ordering newsvendor from risk-neutral case to CVaR case with information updating.
  Juan LIU , Yong HAN and Zu-Cong CAI
  Winter wheat and rice straw produced under ambient and elevated CO2 in a China rice-wheat rotation free-air CO2 enrichment (FACE) experiment was mixed with a paddy soil at a rate of 10 g kg−1 (air-dried), and the mixture was incubated under flooded conditions at 25 °C to examine the differences in decomposition as well as the products of crop residues produced under elevated CO2. Results showed that the C/N ratio and the amount of soluble fraction in the amended rice straw grown under elevated CO2 (FR) were 9.8% and 73.1% greater, and the cellulose and lignin were 16.0% and 9.9% lesser than those of the amended rice straw grown under ambient CO2 (AR), respectively. Compared with those of the AR treatment, the CO2-C and CH4-C emissions in the FR treatment for 25 d were increased by 7.9% and 25.0%, respectively; a higher ratio of CH4 to CO2 emissions induced by straw in the FR treatment was also observed. In contrast, in the treatments with winter wheat straw, the CO2-C and CH4-C emissions, the ratio of straw-induced CH4 to CO2 emissions, and the straw composition were not significantly affected by elevated CO2, except for an 8.0% decrease in total N and a 9.7% increase in C/N ratio in the wheat straw grown under elevated CO2. Correlation analysis showed that the net CO2-C and CH4-C emission from straw and the ratio of straw-induced CH4 to CO2 emissions were all exponentially related to the amount of soluble fraction in the amended straw (P < 0.05). These indicated that under flooded conditions, the turnover and CH4 emission from crop straw incorporated into soil were dependent on the effect of elevated CO2 on straw composition, and varied with crop species. Incorporation of rice straw grown under elevated CO2 would stimulate CH4 emission from flooded rice fields, whereas winter wheat straw grown under elevated CO2 had no effect on CH4 emission.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility