A neuro-fuzzy algorithm for assessment of health,safety, environment and ergonomics in a large petrochemical plant

Process plants such as petrochemical units have been continuously trying to improve Health, Safety, Environment and Ergonomics (HSEE) programs. This study proposes an adaptive network-based fuzzy inference system (ANFIS) for assessment of HSEE programs in a petrochemical plant. The proposed neuro-fuzzy approach is applied to a set of operators in the petrochemical unit to show its applicability and superiority. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and accomplishment of HSEE programs is used as output for the algorithm. Moreover, this algorithm is used to rank operators performance with respect to HSEE. Finally, the algorithm identifies efficient operators with respect to HSEE. This is the first study that introduces an intelligence algorithm for assessment and improvement of HSEE program in a petrochemical plant.     

非线性理论在开采沉陷中的应用

简要介绍了近年来把非线性理论应用于矿山开采沉陷领域的一些研究成果,主要包括两大部分：（１）神经网络理论在开采沉陷中的应用;（２）离散单元法在开采沉陷中的应用     

大气环境质量综合评价的B－P网络模型

选取大气环境质量的三级标准作为３个学习样本，以ＳＯ＿２，ＮＯ＿ｘ和ＴＳＰ三种污染物的三级标准浓度限值作为样本的输入特征值，建立了三参数的Ｂ－Ｐ网络大气环境质量综合评价模型，用该模型对３１个测点的大气环境质量进行评价，并与模糊数学和灰色系统法的评价结果比较，表明Ｂ－Ｐ网络用于大气环境质量评价具有优越性。     

我校图书馆自动化建设的实践与思考

本文简述了我校图书馆自动化建设的历史进程，分析了图书馆自动化建设的现状、达到的效果和尚存在的问题，并针对这些问题，提出了相应的改进措施。     

北京市数字遥测地震台网技术系统

地球科学是一门观测科学,地震观测是研究与应用工作的基础。因此,布设科学合理、运行稳定可靠的观测台网,可更好地为地震监测预报、地震应急以及科学研究提供保障。本文较系统的介绍了北京市数字遥测地震台网,并就系统建设过程中的一些技术问题进行了论述。     

Determination of maternal serum acetylcholinesterase in pregnancies with fetal neural tube defects

We have investigated the occurrence of acetylcholinesterase (AChE) (E.C.3.1.1.7) in fetal serum, amniotic fluid and maternal serum using an immuno-chemical assay-technique employing both polyclonal and monoclonal antibodies. Fetal serum had increased amounts of AChE, which is due to an increase in the 10.5S form of the enzyme. This form was also found in amniotic fluids of pregnancies with a fetal neural tube defect (NTD), but not in normal amniotic fluid. The increase in amniotic fluid AChE was however, not reflected in the maternal serum.     

人工神经网络模型在石油资源预测中的应用

锦270井区大凌河油层是盆地大幅度沉降条件下的产物，以深陷湖环境为主，发育湖底扇浊积岩。准确预测大凌河油层的砂体分布和泥质含量，是勘探目标选择的关键。由于钻井资料少，不能反映储层横向变化。为了准确预测储层的横向变化，综合钻井地质资料和地震勘探资料，并为了反映地震资料的多个参数与储层横向变化间的非线性相关关系，采用人工神经网络模型进行预测，计算了大凌河油层砂层厚度和泥质含量的平面分布。依据计算结果，分析了有利油气区的分布，并给出了几点结论。     

Prenatal sonographic diagnosis of diastematomyelia in a diabetic woman

Diastematomyelia is a structural anomaly which concerns primarily the spine and secondarily the nervous structures contained in it. A case of early prenatal diagnosis (20th week) by ultrasound of diastematomyelia with associated diplomyelia in a diabetic woman is reported. Radiological and pathological examination of the fetus after therapeutic abortion confirmed the diagnosis.     

Advanced nitrogen removal using pilot-scale SBR with intelligent control system built on three layer network

Since eutrophication has become increasingly severe in China, nitrogen and phosphorous have been the concern of wastewater treatment, especially nitrogen removal. The stabilization of the intelligent control system and nitrogen removal efficiency were investigated in a pilot-scale aerobic-anoxic sequencing batch reactor (SBR) with a treatment capacity of 60 m³/d. Characteristic points on the profiles of dissolved oxygen (DO), pH, and oxidation reduction potential (ORP) could exactly reflect the process of nitrification and denitrification. Using the intelligent control system not only could save energy, but also could achieve advanced nitrogen removal. Applying the control strategy water quality of the effluent could stably meet the national first discharge standard during experiment of 10 months. Even at low temperature (t = 13°C), chemical oxygen demand (COD) and total nitrogen (TN) in the effluent were under 50 and 5 mg/L, respectively. Translated from Acta Scientise Circumstantiae, 2006, 26(5): 745–750 [译自: 环境科学学报]     

Assessment of risks, implications, and opportunities of waterborne neurotoxic pesticides

Pesticides are a well-known family of chemicals that have contaminated water systems globally. Four common subfamilies of pesticides include organochlorines, organophosphates, pyrethroids, and carbamate insecticides which have been shown to adversely affect the human nervous system. Studies have shown a link between pesticide exposure and decreased viability, proliferation, migration, and differentiation of murine neural stem cells. Besides human exposure directly through water systems, additional factors such as pesticide bioaccumulation, biomagnification and potential synergism due to co-exposure to other environmental contaminants must be considered. A possible avenue to investigate the molecular mechanisms and biomolecules impacted by the various classes of pesticides includes the field of -omics. Discovery of the precise molecular mechanisms behind pesticide-mediated neurodegenerative disorders may facilitate development of targeted therapeutics. Likewise, discovery of pesticide biodegradation pathways may enable novel approaches for water system bioremediation using genetically engineered microorganisms. In this mini-review, we discuss recently established harmful impacts of various categories of pesticides on the nervous system and the application of -omics field for discovery, validation, and mitigation of pesticide neurotoxicity.