Nb、Ti低合金高强度冷轧薄板退火工艺对机械性能的影响

采用硬度法测得Nb、Ti低合金高强度冷轧薄板的再结晶温度为 6 0 0℃。再结晶温度以下退火时 ,钢的屈服强度随温度和时间的增加而降低 ,延伸率则增大 ;再结晶温度以上退火时 ,钢的屈服强度及延伸率变化不明显。实验提出合理选择热轧钢坯的强度 ,可避免不必要地增大冷轧机的负荷。     

基于遗传模拟退火算法的频率指配算法研究

在复杂电磁环境中进行频率指配是频谱管理中极为重要且困难的研究课题。提出了一种基于遗传模拟退火算法的频率指配算法,以基本遗传算法为基础,采用自适应的交叉概率和变异概率,将遗传操作和模拟退火操作相结合,从而克服了一般遗传算法的不足,可有效避免陷入局部最优并最终趋于全局优化。理论分析和仿真结果表明,该算法能够给整个无线电网络合理地指配频率,同时能有效地控制算法自身的收敛速度,与传统的指配算法相比,新算法在指配效果上有了很大的提高。     

Effects of CdCl2 thermal annealing on CdZnTe thin films deposited by close-spaced sublimation

采用近空间升华法制备了CdZnTe薄膜,并对其进行CdCl2退火,采用扫描电镜（SEM）、能谱仪（EDS）、X射线衍射仪（XRD）、紫外光谱仪、I-V测试仪等研究了退火对薄膜表面形貌、成分、结构以及光电性能的影响。结果表明,经过CdCl2退火后薄膜的晶粒尺寸明显增大,晶粒分布更加均匀;XRD分析结果显示,退火后薄膜的最强峰（111）峰的半峰宽变窄,薄膜沿（111）方向的择优取向明显增强;退火后薄膜的光学透过率降低,截止边红移,光学禁带宽度减小;薄膜的电阻率在退火后下降了两个数量级。     

Wildfire, landscape diversity and the Drossel-Schwabl model

How simple can a model be that still captures essential aspects of wildfire ecosystems at large spatial and temporal scales? The Drossel-Schwabl model (DSM) is a metaphorical forest-fire model developed to reproduce only one pattern of real systems: a frequency distribution of fire sizes resembling a power law. Consequently, and because it appears oversimplified, it remains unclear what bearings the DSM has in reality. Here, we test whether the DSM is capable of reproducing a pattern that was not considered in its design, the hump-shaped relation between the diversity of succession stages and average annual area burnt. We found that the model, once reformulated to represent succession, produces realistic landscape diversity patterns. We investigated four succession scenarios of forest-fire ecosystems in the USA and Canada. In all scenarios, landscape diversity is highest at an intermediate average annual area burnt as predicted by the intermediate disturbance hypothesis. These results show that a model based solely on the dynamics of the fuel mosaic has surprisingly high predictive power with regard to observed statistical properties of wildfire systems at large spatial scales. Parsimonious models, such as the DSM can be used as starting points for systematic development of more structurally realistic but tractable wildfire models. Due to their simplicity they allow analytical approaches that further our understanding under increasing complexity.     

模拟退火法优化约束条件下造林规划设计的研究

模拟退火法是一种新的优化算法 ,文中首次提出用该法确定在资金、计划、苗木品种和数量等约束条件下小班造林规划设计最优方案 ,并阐述其数学模型和具体方法。笔者用97个造林小班资料 ,应用模拟退火法对在约束条件下的小班造林规划设计进行了方案优化 ,结果表明该法优化约束条件下造林规划设计效果很理想。     

Habitat Suitability Models and the Shortfall in Conservation Planning for African Vertebrates

Abstract:  Ongoing loss of biodiversity requires identifying large-scale conservation priorities, but the detailed information on the distribution of species required for this purpose is often missing. We present a systematic reserve selection for 1223 African mammals and amphibians in which habitat suitability models are used as estimates of the area occupied by species. In the framework of the World Conservation Union (IUCN) Global Amphibian Assessment and IUCN Global Mammal Assessment, we collected the geographic range (extent of occurrence) and habitat preferences for each species. We used the latter to build species-specific habitat suitability models inside geographic ranges, and for 181 species we verified the models by comparing suitability levels to presence-absence data collected in the field. We then used the suitable areas as estimators of the area of occupancy and compared the results of systematic reserve selection based on geographic ranges to those based on estimated areas of occupancy. Our results showed that the reserve system would need a 30-100% expansion to achieve minimal conservation targets, concentrated in the tropics, where species richness reaches a maximum. Comparative analyses revealed that using geographic ranges, which overestimate the area occupied by species, underestimates the total amount of area that needs to be conserved. The area selected for conservation doubled when we used the estimated area of occupancy in place of the geographic ranges. This happened because the suitable areas potentially occupied by each species overlapped less than their geographic ranges. As a result, any given protected area contained fewer species than predicted by the analysis of ranges. Because species are more specialized than our estimates of distribution based on extent of occurrence suggest, we propose that this is a general effect in systematic conservation planning.     

Using hidden Markov chains and empirical Bayes change-point estimation for transect data

Consider a lattice of locations in one dimension at which data are observed. We model the data as a random hierarchical process. The hidden process is assumed to have a (prior) distribution that is derived from a two-state Markov chain. The states correspond to the mean values (high and low) of the observed data. Conditional on the states, the observations are modelled, for example, as independent Gaussian random variables with identical variances. In this model, there are four free parameters: the Gaussian variance, the high and low mean values, and the transition probability in the Markov chain. A parametric empirical Bayes approach requires estimation of these four parameters from the marginal (unconditional) distribution of the data and we use the EM-algorithm to do this. From the posterior of the hidden process, we use simulated annealing to find the maximum a posteriori (MAP) estimate. Using a Gibbs sampler, we also obtain the maximum marginal posterior probability (MMPP) estimate of the hidden process. We use these methods to determine where change-points occur in spatial transects through grassland vegetation, a problem of considerable interest to plant ecologists.     

Spatial and seasonal variability of dissolved oxygen and nutrients in the Southern Adriatic coastal waters

The main objective of this paper is to present vertical and horizontal patterns of dissolved oxygen and nutrients found during four seasonal surveys (March, June, September and December 2000) in the Southern Adriatic Sea coastal waters. The multivariate technique Principal Component Analysis has been applied to our dataset considering the following parameters: seawater temperature, salinity, dissolved oxygen and nutrients (nitrate, nitrite, phosphate, silicate). The resulting plot shows in a self-explanatory way that a seasonal trend was not observable in the investigated period and that no significant differences occur between the stations sampled in the Taranto Gulf and those along the Adriatic coast. Water column stratification persists in all seasons, except in spring, in the shallowest stations. The surface layer is characterized by a low nutrient content. The influence of the Northern Adriatic Surface Water in the Southern Adriatic sub-basin seems to be very low and can be traced by nitrate and silicate only in spring and winter. Regarding deep waters, nitrate distribution shows an increasing gradient moving from the coast to the open sea, having the lowest concentration in the shelf area and the highest in the most offshore stations of the Otranto Strait. In the Otranto Strait area the vertical distributions of physical and chemical parameters show, at middle depths, the inflow of Levantine Intermediate Water, traced by both the maximum of salinity, nitrate and phosphate and the minimum of oxygen. The LIW signal is lost moving northward. The outflow of Adriatic Dense Water is less evident, being traced only in spring by an oxygen increase at the bottom layer in the shelf area. The N:P ratio is highly variable but in the range already observed in the Southern Adriatic, suggesting a P-limitation, which can both contribute to the low primary productivity of the area and support the N:P ratio anomaly of the Eastern Mediterranean.     

发酵床垫料中微生物16S rDNA PCR反应条件的建立与优化

为探讨发酵床垫料中微生物16S rDNA基因扩增实验中诸多因素对实验结果的影响,采用单因素法对16S rDNA基因扩增时PCR反应体系中的5个潜在因素（Mg^2＋、dNTP、引物、Taq酶、模板DNA）5水平上进行优化实验,并进一步优化了反应程序中的退火温度、循环次数。结果表明：25μL的最佳反应体系为：10×PCR buffer 2.5μL、MgCl22.0 mmol·L^-1、dNTP 0.2 mmol·L^-1、引物0.2μmol·L^-1、Taq DNA聚合酶0.5 U、模板DNA 50 ng;最佳反应程序为：在94℃下进行4 min预变性;随后循环扩增25个循环（包括94℃变性45 s,53.7℃退火30 s,72℃延伸90 s）;最后在72℃下延伸10 min。