Developmental neurotoxicity (DNT) refers to the toxic effects induced by various chemicals on brain during the early childhood period. As human brains are vulnerable during this period, various chemicals would have significant effects on brains during early childhood. Some toxicants have been confirmed to induce developmental toxic effects on CNS; however, most of agents cannot be identified with certainty. This is because available animal models do not cover the whole spectrum of CNS developmental periods. A novel alternative method that can overcome most of the limitations of the conventional techniques is the use of 3D neurosphere system. This in-vitro system can recapitulate many of the changes during the period of brain development making it an ideal model for predicting developmental neurotoxic effects. In the present study we verified the possible DNT of Malathion, which is one of organophosphate pesticides with suggested possible neurotoxic effects on nursing children. Three doses of Malathion (0.25 μM, 1 μM and 10 μM) were used in cultured neurospheres for a period of 14 days. Malathion was found to affect proliferation, differentiation and viability of neurospheres, these effects were positively correlated to doses and time progress. This study confirms the DNT effects of Malathion on 3D neurosphere model. Further epidemiological studies will be needed to link these results to human exposure and effects data.
Purpose – The literature on the relation between dividends and stock risks include mixed results. The related studies have reached either insignificant, or positive, or negative results. The authors offer a mathematical structure that addresses potential mutual benefits of dividends signaling under conditions of stock risks (systematic and unsystematic). The mathematical structure demonstrates explicitly a case of risk transfer. The purpose of this paper is to examine the potential benefits to firms and stockholders when financial managers adjust dividends per share (DPS) using percentage change in the explanatory power of systematic and unsystematic risks. This perspective is derived from a practical consideration that dividends are part of stock returns that can be adjusted to take stock risks into account. Design/methodology/approach – The paper utilizes the specifications of the two-stage (simultaneous) regression and partial adjustment model. The sample includes quarterly data for firms listed in the Dow Jones Industrial Average and NASDAQ for the period December 31, 1989-March 31, 2011. Findings – The authors have reached general results based on hypotheses developed from related literature. The results show that: first, benefits of risk transfer can be realized. That is, firms as well as stockholders achieve benefits when the DPS are adjusted using percentage change in the explanatory power of systematic risk only; second, dividend growth rates are affected positively by changes in systematic risks; third, the highest stock returns in the market are reached with sharp decreases in dividend growth rates; fourth, in the highest returns quartile, firm size and time do not matter but the industry type does; and fifth, the associations between dividend growth rates, systematic, unsystematic risks, and stock returns are intrinsically nonlinear. Originality/value – The study contributes to the literature in terms of first, providing practical insights on the financial strategies that help in the use of dividends to convey the right signals to stockholders, and second, empirically show the potential benefits of adjusting dividends growth rates according to systematic and unsystematic stock risks in a unified mathematical structure that adds to the current literature.
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