Extension of the rotation length in forest management has been highlighted in Article 3.4 of the Kyoto Protocol to help the countries in their commitments for reduction in greenhouse gas emissions. CO2FIX Model Ver.3.2 was used to examine the dynamics of carbon stocks (C stocks) in a rubber plantation in South Western China with the changing rotation lengths. To estimate the efficiency of incre...

Forests are one of the most important carbon sinks on Earth. However, owing to the complex structure, variable geography, and large area of forests, accurate estimation of forest carbon stocks is still a challenge for both site surveying and remote sensing. For these reasons, the Kyoto Protocol requires the establishment of methodologies for estimating the carbon stocks of forests (Kyoto Protoc...

Two types of honey bees, Apis mellifera L., bred for resistance to Varroa destructor Anderson & Trueman, were evaluated for performance when used for honey production in Montana, and for almond pollination the following winter. Colonies of Russian honey bees and outcrossed honey bees with Varroa-sensitive hygiene (VSH) were compared with control colonies of Italian honey bees. All colonies were...

Previous research suggests that individual investor sentiment has incremental explanatory power for returns of small cap stocks, value stocks, stocks with low institutional ownership, and stocks with lower prices (Kumar and Lee (2003)) and that there is a strong link between institutional sentiment and the returns of large stocks (Brown and Cliff (2004)). With respect to return volatility, Jack...

Manipulation is an important issue for both developed and emerging stock markets. Many efforts have been made to detect manipulation in stock markets. However, it is still an open problem to identify the fraudulent traders, especially when they collude with each other. In this paper, we focus on the problem of identifying the anomalous traders using the transaction data of eight manipulated sto...

Abstract We compare the performance of linear regression model, which is current standard in science and practice for cross-sectional stock return forecasting, with that machine learning methods, i.e., penalized models, support vector regression, random forests, gradient boosted trees neural networks. Our analysis based on monthly data nearly 12,000 individual stocks from 16 European economies ...

Paper studies the impact of the liquidity, underpricing and ownership up on both the short term and long term performance of the Initial Public Offer (IPO) stocks in the equity markets of India. Empirical analysis is undertaken to study the impact of liquidity, underpricing and ownership on Performance of IPO stocks. Multiple regression analysis is undertaken for analyzing the impact. It is fou...

The effect of cropping system on the distribution of organic carbon (OC) and nitrogen (N) in soil aggregates has not been well addressed, which is important for understanding the sequestration of OC and N in agricultural soils. We analyzed the distribution of OC and N associated with soil aggregates in three unfertilized cropping systems in a 27-year field experiment: continuously cropped alfal...