Thermogravimetric study on the hydration of reactive magnesia and silica mixture at room temperature

The synthesis of magnesium silicate hydrate (MSH), which has wide applications in both construction and environmental fields, has been studied for decades. However, it is known that the characteristics of magnesia (MgO) vary significantly depending on their calcination conditions, which is expected to affect their performance in the MgO-SiO2-H2O system. This paper investigated the effect of different MgO and silica sources on the formation of magnesium silicate hydrate (MSH) at room temperature. The hydration process was studied by mixing commercial reactive MgO and silica powders with water and curing for 1, 7 and 28 days. The hydration products were analysed with the help of X-ray diffraction (XRD) and thermogravimatric analysis (TGA). The results showed the continuous consumption of MgO and the existence of MSH and brucite and other minor phases such as magnesite and calcite. It is found that the Mg and Si sources have significant effect on the hydration process of MgO-SiO2-H2O system. The reaction degree is controlled by the availability of dissolved Mg and Si in the solution. The former is determined by the reactivity of MgO and the latter is related to the reactivity of the silica as well as the pH of the system. © 2013 Elsevier B.V. All rights reserved.

太平湖水库的浮游藻类与营养型评价

研究了太平湖水库的浮游藻类与营养类型。共发现藻类175种。绿藻门的种类最多(87种),占种类总数的50％。硅藻和蓝藻次之(分别为34和33种),各占19.4％和18.8％。其它5门藻合计21种,仅占种类总数的11.8％。根据营养型分析结果,太平湖目前水质优良,属中营养型水体;但是藻类的优势种类和总氮含量两项指标已达富营养水平,而且微囊藻(Microcystis)水体较多出现,表明该水体已有向富营养化发展的趋势。含磷量较低(总磷0.012mg/L)是浮游藻类进一步大量繁殖的限制因子。为防止水质恶化,除了应控

用微型生物群落评价常德市水系的研究

本文应用PFU法对常德水系四季微型生物群落的结构和功能进行了分析。根据MacArthur-Wilson平衡模型提出了3个功能参数,测定了微型生物的2个结构参数。同步进行了16个站四季的水质分析,提出化学综合污染指数(P)。经统计学处理,P和微型生物群落的HI、S_(eq)、G、T_(90％)等指数均呈显著性相关。物种多样性(d)也在一定程度上反映出城市水体的不同污染程度。再次证明PFU微型生物监测方法的科学性,为生物监测提供了快速、经济、正确的新方法。

Encoding of mixtures in a simple olfactory system.

Natural odors are usually mixtures; yet, humans and animals can experience them as unitary percepts. Olfaction also enables stimulus categorization and generalization. We studied how these computations are performed with the responses of 168 locust antennal lobe projection neurons (PNs) to varying mixtures of two monomolecular odors, and of 174 PNs and 209 mushroom body Kenyon cells (KCs) to mixtures of up to eight monomolecular odors. Single-PN responses showed strong hypoadditivity and population trajectories clustered by odor concentration and mixture similarity. KC responses were much sparser on average than those of PNs and often signaled the presence of single components in mixtures. Linear classifiers could read out the responses of both populations in single time bins to perform odor identification, categorization, and generalization. Our results suggest that odor representations in the mushroom body may result from competing optimization constraints to facilitate memorization (sparseness) while enabling identification, classification, and generalization.

Encoding of mixtures in a simple olfactory system

Natural odors are usually mixtures; yet, humans and animals can experience them as unitary percepts. Olfaction also enables stimulus categorization and generalization. We studied how these computations are performed with the responses of 168 locust antennal lobe projection neurons (PNs) to varying mixtures of two monomolecular odors, and of 174 PNs and 209 mushroom body Kenyon cells (KCs) to mixtures of up to eight monomolecular odors. Single-PN responses showed strong hypoadditivity and population trajectories clustered by odor concentration and mixture similarity. KC responses were much sparser on average than those of PNs and often signaled the presence of single components in mixtures. Linear classifiers could read out the responses of both populations in single time bins to perform odor identification, categorization, and generalization. Our results suggest that odor representations in the mushroom body may result from competing optimization constraints to facilitate memorization (sparseness) while enabling identification, classification, and generalization