Rate of ammonia oxidation in a synthetic saline wastewater by a nitrifying mixed‐culture

Most of the kinetic studies on nitrification have been performed in diluted salts medium. In this work, the ammonia oxidation rate (AOR) was determined by respirometry at different ammonia (0.01 and 33.5 mg N‐NH₃ L^?1), nitrite (0–450 mg N‐NO₂^? L^?1) and nitrate (0 and 275 mg N‐NO₃^? L^?1) concentrations in a saline medium at 30 °C and pH 7.5. Sodium azide was used to uncouple the ammonia and nitrite oxidation, so as to measure independently the AOR. It was determined that ammonia causes substrate inhibition and that nitrite and nitrate exhibit product inhibition upon the AOR. The effects of ammonia, nitrite and nitrate were represented by the Andrews equation (maximal ammonia oxidation rate, r_AOMAX, = 43.2 [mg N‐NH₃ (g VSS_AO h)^?1]; half saturation constant, K_SAO, = 0.11 mg N‐NH₃ L^?1; inhibition constant K_IAO, = 7.65 mg N‐NH₃ L^?1), by the non‐competitive inhibition model (inhibition constant, K_INI, = 176 mg N‐NO₂^? L^?1) and by the partially competitive inhibition model (inhibition constant, K_INA, = 3.3 mg N‐NO₃^? L^?1; α factor = 0.24), respectively. The r_AOMAX value is smaller, and the K_SAO value larger, than the values reported in diluted salts medium; the K_IAO value is comparable to those reported. Process simulations with the kinetic model in batch nitrifying reactors showed that the inhibitory effects of nitrite and nitrate are significant for initial ammonia concentrations larger than 100 mg N‐NH₄⁺ L^?1. Copyright © 2005 Society of Chemical Industry     

石油工程项目管理机制

为了妥善处理石油工程项目中的委托-代理关系,研究了委托-代理模型和石油工程项目管理中的激励约束机制,分析了激励机制、监督机制和选择机制在石油工程项目运行管理中的重要性.只有用有效的契约去激励技术服务公司,才能使服务公司在追求自身效益最大化的同时也为实现石油公司的最大效益而尽最大努力;只有对技术服务公司的作业实施监督,才能形成对技术服务公司的有效约束;采用激励性承包方式、实施综合性评标和组建工程项目动态联盟能够防止逆向选择.分析表明,在最优激励安排下,激励强度与项目面临的不确定性、承包商的边际成本及其风险规避系数负相关,与承包商的边际生产率正相关,还与其他可观测变量相关.在最优监督水平下,作业公司的边际生产率越高,边际成本越低,越容易监督,监督带来的边际收益越高.对于那些监督比较困难的项目,可以通过加强惩罚力度的方式弥补难以有效监督的不足.激励性承包方式可以减小逆向选择造成的危害,组建动态联盟可以进一步加强激励作用,降低道德风险,解决逆向选择问题.参8     

氨氮监测中样品蒸馏预处理对结果的影响分析

氨氮监测采用预蒸馏处理后，比色测定结果明显偏低。在样品预蒸馏处理过程中，硼酸作为吸收液，使显色时溶液pH值偏低，导致显色不充分是其主要影响因素。通过采取增加显色剂加入量的方法，解决了显色pH值偏低的问题，得到满意的测定结果。     

薄板坯连铸连轧流程Ti微合金化高强钢开发与应用

在薄板坯连铸连轧流程上，经过对Ti微合金化技术研究，有效解决了Ti微合金化强度性能波动大的问题，开发出屈服强度450～700MPa高强钢。对试制钢组织性能和工业应用分析研究，表明该产品通板性能良好，通板强度差30MPa左右；成形性能良好，d=0时冷弯测试全部合格；同时还具有良好焊接性能，焊接后，强度波动较小，均在母材部位断开；试制钢显微组织为珠光体和铁素体，晶粒均匀细小，平均尺寸为4～8／μm；实物质量满足集装箱和汽车制造行业要求，具有广阔市场前景。     

企业不但应该做大更应该做强

从入世的角度 ,分析了我国企业在重组过程中存在的问题 ,并指出了我国企业做强做大的紧迫性     

基于DELPHI的镍氢电池管理系统软件设计

通过对镍氢电池性能的研究，给出了一个应用ISA总线技术构建的、基于DELPHI编程平台的镍氢电池管理系统的设计方案，重点介绍了该系统的软件技术和实现方法。     

Synthesis of LiFePO4 with fine particle by co-precipitation method

LiFePO₄ is a potential candidate for the cathode material of the lithium secondary batteries. A co-precipitation method was adopted to prepare LiFePO₄ because it is simple and cheap. Nitrogen gas was needed to prevent oxidation of Fe²⁺ in the aqueous solution. The co-precipitated precursor shows the high reactivity with the reductive gas, and the single phase of LiFePO₄ is successfully synthesized with the aid of carbon under less reductive conditions. LiFePO₄ fine powder prepared by co-precipitation method shows high rate capability, impressive specific capacity and cycle property.     

Nanostructured polymer blends: Synthesis and structure

Nanostructured polymer blends prepared via anionic ring opening polymerizations of cyclic monomers in the presence of a pre-made polymer melt exhibit a number of special properties over traditional polymer blends and homopolymers. Here, we report on a simple and versatile method of in situ polymerization of macrocyclic carbonates in the presence of a maleic anhydride polypropylene (mPP) matrix and a surface-active compatibilizer (i.e. PC grafted onto a mPP backbone generated in situ) to yield a micro- and nanostructured polymer blends consisting of a polycarbonate (PC) minor phase, and a polypropylene (PP) major phase. By varying the processing conditions and concentration of the macrocyclic carbonate it was possible to reduce the size of the PC dispersions to an average minor diameter of 150 nm. NMR and TEM characterizations indicate that the PC dispersions do not influence crystal content in the PP phase. Overall, the results point to a simple strategy and versatile route to new polymeric materials with enhanced benefits.     

Expressive Facial Gestures From Motion Capture Data

Human facial gestures often exhibit such natural stochastic variations as how often the eyes blink, how often the eyebrows and the nose twitch, and how the head moves while speaking. The stochastic movements of facial features are key ingredients for generating convincing facial expressions. Although such small variations have been simulated using noise functions in many graphics applications, modulating noise functions to match natural variations induced from the affective states and the personality of characters is difficult and not intuitive. We present a technique for generating subtle expressive facial gestures (facial expressions and head motion) semi‐automatically from motion capture data. Our approach is based on Markov random fields that are simulated in two levels. In the lower level, the coordinated movements of facial features are captured, parameterized, and transferred to synthetic faces using basis shapes. The upper level represents independent stochastic behavior of facial features. The experimental results show that our system generates expressive facial gestures synchronized with input speech.     

A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm

The estimation of the differences among groups in observational studies is frequently inaccurate owing to a bias caused by differences in the distributions of covariates. In order to estimate the average treatment effects when the treatment variable is binary, Rosenbaum and Rubin [1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70, 41-55] proposed an adjustment method for pre-treatment variables using propensity scores. Imbens [2000. The role of the propensity score in estimating dose-response functions. Biometrika 87, 706-710] extended the propensity score methodology for estimation of average treatment effects with multivalued treatments.However, these studies focused only on estimating the marginal mean structure. In many substantive sciences such as the biological and social sciences, a general estimation method is required to deal with more complex analyses other than regression, such as testing group differences on latent variables. For latent variable models, the EM algorithm or the traditional Monte Carlo methods are necessary. However, in propensity score adjustment, these methods cannot be used because the full distribution is not specified.In this paper, we propose a quasi-Bayesian estimation method for general parametric models that integrate out the distributions of covariates using propensity scores. Although the proposed Bayes estimates are shown to be consistent, they can be calculated by existing Markov chain Monte Carlo methods such as Gibbs sampler. The proposed method is useful to estimate parameters in latent variable models, while the previous methods were unable to provide valid estimates for complex models such as latent variable models.We also illustrated the procedure using the data obtained from the US National Longitudinal Survey of Children and Youth (NLSY1979-2002) for estimating the effect of maternal smoking during pregnancy on the development of the child's cognitive functioning.