Restrictive dermopathy and fetal behaviour

We report three siblings from consecutive pregnancies affected with restrictive dermopathy (RD). During the second pregnancy, fetal behavioural development and growth were studied extensively using ultrasound at 1–4 week intervals. Dramatic and sudden changes occurred in fetal body movements and growth but not until the end of the second trimester of pregnancy. Prominent at that time were prolonged periods of fetal quiescence and very low heart rate variability, together with abnormally executed body movements of short duration. Retarded femoral development and jerky abrupt fetal body movements (abnormal movement quality) were already present in the early second trimester of pregnancy. Facial anomalies emerged despite the presence of fetal mouth movements. The clinical features of RD were only partly explained by present knowledge of skin development and the fetal akinesia deformation sequence hypothesis. Quantitative assessment of fetal movements proved to be a poor early marker for antenatal diagnosis of this disorder. Copyright © 2001 John Wiley & Sons, Ltd.     

磁性有序介孔碳的制备及其对水中双酚A的吸附

采用水热法成功制备了磁性有序介孔碳（Fe-OMC）,用于吸附水中双酚A （BPA）.采用高倍投射电镜、X射线衍射仪、傅里叶红外光谱仪、比表面积分析仪和振动样品磁强计对Fe-OMC进行表征.结果表明,该吸附剂具备较大的比表面积、独特的有序介孔孔道结构、丰富的含氧官能团以及较强的超顺磁性.Fe-OMC能够高效地吸附去除水中的BPA,平衡吸附量可达72.62mg/g,经过外加磁场分离回收后依旧具备较好的吸附性能.随着BPA浓度从1mg/L提高到20mg/L,其平衡吸附量由8.33mg/g增至91.78mg/g.随着pH值的升高呈现出先降低后升高再降低的趋势,最高吸附量出现在pH=8（75.34mg/g）.Fe-OMC对BPA的吸附过程可用准二级吸附动力学模型和Langmuir吸附等温模型进行描述.计算的热力学参数表明,Fe-OMC对BPA的吸附过程是自发进行的放热过程.     

有序介孔碳载金/L-赖氨酸/纳米金修饰电极的制备及其对邻苯二酚、对苯二酚的检测响应研究

通过化学还原的方法合成有序介孔碳负载纳米金粒子,并构筑有序介孔碳载金/L-赖氨酸/纳米金复合膜修饰玻碳电极;利用扫描电镜观察介孔碳和介孔碳复合膜的微观结构,并用循环伏安法、电化学阻抗谱表征自组装电极的过程.在此基础上用差分脉冲伏安法研究对苯二酚和邻苯二酚混合物在该电极上的电催化氧化,研制了一种基于有序介孔碳载金/L-赖氨酸/纳米金复合膜修饰电极分别检测对苯二酚和邻苯二酚的传感器.在最优的实验条件下,该传感器在对苯二酚和邻苯二酚浓度为1×10-6～8×10-4mol·L-1的范围内具有良好的线性关系,检出限分别为3×10-7mol·L-1、7×10-7mol·L-1.     

模糊控制技术在污水处理中的应用

针对污水处理过程中采用传统的流量程序控制和时间程序控制的不足,提出了一种基于单片机的模糊控制方法。该方法以污水流量、溶解氧(DO)浓度和污泥回流比为主要被控对象,以DO浓度为主要控制参数,通过离散计算和在线查表的模糊推理方法可得到最佳的风机转速,使污水处理生化池内DO浓度保持在最佳状态,同时还通过控制曲线展示了当输入污水流量发生扰动时对DO浓度的控制精度,使污水处理质量保持稳定。通过实际应用表明,该控制方法不但能确保出口净化水水质达标,还可以节约15%的电能。     

基于ANFIS模型的基坑工程位移反分析

在软土地基深基坑开挖支护工程的设计与施工中,岩土体力学参数的取值问题是关键。基于MATLAB(R2007a)模糊工具箱中的自适应神经模糊推理系统(ANFIS)对基坑岩土体力学参数进行了位移反演分析,并结合汉口火车站出站厅基坑工程实例,动态反演了具体参数,检验了反演精度,从而验证了该方法用于基坑工程位移反分析的可行性及工程适用性。     

Risk assessment of sour gas inter-phase onshore pipeline using ANN and fuzzy inference system – Case study: The south pars gas field

Nowadays, pipelines have been extensively used for transporting oil and gas for long distances. Therefore, their risk assessment could help to identify the associated hazards and take necessary actions to eliminate or reduce the risk. In the present research, an artificial neural network (ANN) and a fuzzy inference system (FIS) were used to prepare a new model for pipeline risk assessment with higher accuracy. To reach this objective, the Muhlbauer method, as a common method for oil and gas pipeline risk assessment, was used for determining important and influential factors in the pipeline performance. Mamdani fuzzy model was developed in Matlab software by considering expert knowledge. The outcomes of this model were used to develop an ANN. To verify the developed model, the inter-phase shore pipe of phase 9–10 refinery in the South Pars Gas field was considered as a case study. The results showed that the proposed model gives a higher level of accuracy, precision, and reliability in terms of pipe risk assessment.     

Applying Statistical Causal Analyses to Agricultural Conservation: A Case Study Examining P Loss Impacts

Estimating the effect of agricultural conservation practices on reducing nutrient loss using observational data can be confounded by factors such as differing crop types and management practices. As we may not have the full knowledge of these confounding factors, conventional statistical meta‐analysis methods can be misleading. We discuss the use of two statistical causal analysis methods for quantifying the effects of water and soil conservation practices in reducing P loss from agricultural fields. With the propensity score method, a subset of data was used to form a treatment group and a control group with similar distributions of confounding factors. With the multilevel modeling method, data were stratified based on important confounding factors, and the conservation practice effect was evaluated for each stratum. Both methods resulted in similar estimates of the conservation practice effect (total P load reduction avg. ~70%). In addition, both methods show evidence of conservation practices reducing the incremental increase in total P export per unit increase in fertilizer application. These results are presented as examples of the types of outcomes provided by statistical causal analyses, not to provide definitive estimates of P loss reduction. The enhanced meta‐analysis methods presented within are applicable for improved assessment of agricultural practices and their effects and can be used for providing realistic parameter values for watershed‐scale modeling.     

The relationship between diversity profiles,evenness and species richness based on partial ordering

Problems with the notion of evenness, such as ambiguity, proliferation of indices, choice of indices, etc. can be overcome by a more fundamental, mathematical approach. We show that the Lorenz curve is an adequate representation of evenness. The corresponding Lorenz order induces a partial order in the set of equivalent abundance vectors. Also diversity can adequately be studied through a partial order and represented by a curve derived from the classical Lorenz curve. This curve is known as the intrinsic diversity profile (or k-dominance curve) and was introduced by Patil and Taillie (1979) and Lambshead et al. (1981).     

用水协会运行绩效及其影响因素分析——基于江西省3949个用水协会的实证研究

近年来我国用水协会的数量呈爆炸式增长,但学者对其运行绩效及影响因素的研究不够全面和深入。论文使用江西省11个市3 949个用水协会数据,对用水协会的运行绩效及其影响因素进行实证研究。研究表明,是否注册、参与农户数、组建边界、协会主要领导人产生方式、是否有工程产权证、灌溉设施完好率、灌区规模对用水协会运行绩效有显著正影响;而租用和借用办公场所、协会工作人员数、协会起源、协会主要领导人身份则有显著负影响。要使用水协会运行良好,应重视协会的注册工作,完善协会主要领导人产生方式,控制协会工作人员规模,深化小型农田水利工程设施产权制度改革。     

Effect of Widespread Agricultural Chemical Use on Butterfly Diversity across Turkish Provinces

Although agricultural intensification is thought to pose a significant threat to species, little is known about its role in driving biodiversity loss at regional scales. I assessed the effects of a major component of agricultural intensification, agricultural chemical use, and land‐cover and climatic variables on butterfly diversity across 81 provinces in Turkey, where agriculture is practiced extensively but with varying degrees of intensity. I determined butterfly species presence in each province from data on known butterfly distributions and calculated agricultural chemical use as the proportion of agricultural households that use chemical fertilizers and pesticides. I used constrained correspondence analyses and regression‐based multimodel inference to determine the effect of environmental variables on species composition and richness, respectively. The variation in butterfly species composition across the provinces was largely explained (78%) by the combination of agricultural chemical use, particularly pesticides, and climatic and land‐cover variables. Although overall butterfly richness was primarily explained by climatic and land‐cover variables, such as the area of natural vegetation cover, threatened butterfly richness and the relative number of threatened butterfly species decreased substantially as the proportion of agricultural households using pesticides increased. These findings suggest that widespread use of agricultural chemicals, or other components of agricultural intensification that may be collinear with pesticide use, pose an imminent threat to the biodiversity of Turkey. Accordingly, policies that mitigate agricultural intensification and promote low‐input farming practices are crucial for protecting threatened species from extinction in rapidly industrializing nations such as Turkey. Efectos del Uso Extensivo de Agroquímicos sobre la Diversidad de Mariposas en Provincias Turcas