岩庄陨石的微矿物学及冲击效应

为了探讨冲击波作用下岩庄陨石的冲击效应，我们利用微矿物学的技术和方法，包括扫描电子显微镜，透射电子显微镜、电子探针、激光拉曼探针、普通光学显微镜、相差显微镜、X射线衍射分析和中子活化分析等，重点对陨石中的矿物（相）微结构、表面微形貌和化学成分特征等作了深入的研究。首次在陨石中找到了天然的橄榄石和辉石击变玻璃。研究发现，强烈的冲击波作用可导致辉石及其高压相发生结构变异和结构重组织，形成以重结晶结构为主，兼具有孤立硅氧四面体，三桥氧和全桥氧硅氧四面体基因混合组合的复杂变异结构。首次在冲击熔融脉体的固化重结晶FeNi金属粒中发现了一种呈非对称性及方向性分布的三带微结构和Ni含量呈“台阶”状分布的模式，研究发现了一种与冲击作用有关的钠猛铁磷矿物（Fe 55.94±0.8wt%，Mn 4.47±0.9wt%，Na 7.48±1.0wt%，P 28.6±0.5wt%），它是原球粒陨石中的磷矿物被冲击熔融和发生分解后，磷与熔体中Na，Mn，Fe等原子结合而成的新矿物相。基于岩石和矿物的冲击效应研究，我们认为岩庄陨石是迄今世界上收集到的经受了最强烈冲击变质作用的普通球粒陨石。

Easy fabrication of dense ceramic membrane for oxygen separation

A combined EDTA-citrate complexing method was developed for the easy preparation of mixed oxygen-ionic and electronic conducting dense ceramic membrane for oxygen separation. The nea method takes the advantage of lower calcination temperature for phase formation. lower membrane sintering temperature and higher relative density over the standard ceramic method.

Adaptabilidade e estabilidade de cultivares de milho no Meio-Norte brasileiro, na safra 2007/2008.

Durante a safra de 2007/2008, no Meio-Norte brasileiro, foram executados ensaios de milho em blocos casualizados com três repetições para a avaliação de 42 cultivares de milho (16 variedades e 26 híbridos), objetivando conhecer a adaptabilidade e a estabilidade desses materiais para fins de recomendação. Detectaram-se, nas análises de variância conjuntas, diferenças entre as cultivares e inconsistência no comportamento nos diferentes ambientes, no que se refere à produtividade de grãos. Os híbridos apresentaram, em média, produtividade de grãos (7.382 kg ha-1) 19,0 % maior que as variedades. Entre os híbridos de melhor adaptação, os que evidenciaram adaptabilidade ampla consolidaram-se como alternativas importantes para a agricultura regional, destacando-se, entre eles, os híbridos SHS 4070 e AG 7088. As variedades que revelaram adaptabilidade ampla, a exemplo das variedades BRS Caimbé e AL 25, entre outras, têm importância fundamental nos sistemas de produção dos agricultores familiares da região.

Prediction of soil organic partition coefficients by a soil leaching column chromatographic method

The soil organic partition coefficient (K-oc) is one of the most important parameters to depict the transfer and fate of a chemical in the soil-water system. Predicting K-oc by using a chromatographic technique has been developing into a convenient and low-cost method. In this paper, a soil leaching column chromatograpy (SLCC) method employing the soil column packed with reference soil GSE 17201 (obtained from Bayer Landwirtschaftszentrum, Monheim, Germany) and methanol-water eluents was developed to predict the K-oc of hydrophobic organic chemicals (HOCs), over a log K-oc range of 4.8 orders of magnitude, from their capacity factors. The capacity factor with water as an eluent (k(w)') could be obtained by linearly extrapolating capacity factors in methanol-water eluents (k') with various volume fractions of methanol (phi). The important effects of solute activity coefficients in water on k(w)' and K-oc were illustrated. Hence, the correlation between log K-oc and log k(w)' (and log k') exists in the soil. The correlation coefficient (r) of the log K-oc vs. log k(w)' correlation for 58 apolar and polar compounds could reach 0.987, while the correlation coefficients of the log K-oc-log k' correlations were no less than 0.968, with phi ranging from 0 to 0.50. The smaller the phi, the higher the r. Therefore, it is recommended that the eluent of smaller phi, such as water, be used for accurately estimating K-oc. Correspondingly, the r value of the log K-oc-log k(w)' correlation on a reversed-phase Hypersil ODS (Thermo Hypersil, Kleinostheim, Germany) column was less than 0.940 for the same solutes. The SLCC method could provide a more reliable route to predict K-oc indirectly from a correlation with k(w)' than the reversed-phase liquid chromatographic (RPLC) one.

Evaluating SWICE-R (South West Information for Clinical Effectiveness - Rural). Final report for South West Workforce Development Confederations (Knowledge Resources Development Unit)

Yeoman, A., Durbin, J. & Urquhart, C. (2004). Evaluating SWICE-R (South West Information for Clinical Effectiveness - Rural). Final report for South West Workforce Development Confederations, (Knowledge Resources Development Unit). Aberystwyth: Department of Information Studies, University of Wales Aberystwyth. Sponsorship: South West WDCs (NHS)

Feature Selection based on Rough Sets and Particle Swarm Optimization

X. Wang, J. Yang, X. Teng, W. Xia, and R. Jensen. Feature Selection based on Rough Sets and Particle Swarm Optimization. Pattern Recognition Letters, vol. 28, no. 4, pp. 459-471, 2007.

Cuaderno de diseño e informe final. Regional Santa Fé de Bogotá y Nacional.

77 hojas.