牙哈23凝析气田有效水体及驱动能量评价

牙哈23凝析气田是国内第一个采用整体循环注气部分保压开发的凝析气田，进行有效水体及驱动能量的估算对充分利用天然能量、保持合理的回注比、实现气田开发效益的最大化意义重大。     

均匀磁场中的平面载流线圈

本文以最普遍的方式讨论了任意形状的平面载流圈在均匀磁场中的力学性质，从而在普遍的意义上定义了平面载流圈的磁矩．     

Functional and dynamic magnetic resonance imaging using vector adaptive weights smoothing

We consider the problem of statistical inference for functional and dynamic magnetic resonance imaging (MRI). A new approach is proposed which extends the adaptive weights smoothing procedure of Polzehl and Spokoiny that was originally designed for image denoising. We demonstrate how the adaptive weights smoothing method can be applied to time series of images, which typically occur in functional and dynamic MRI. It is shown how signal detection in functional MRI and the analysis of dynamic MRI can benefit from spatially adaptive smoothing. The performance of the procedure is illustrated by using real and simulated data.     

Health‐Economics Analyses Applied to ELF Electric and Magnetic Fields

Extremely low frequency electric and magnetic fields (ELF EMFs) are a common exposure for modern populations. The prevailing public‐health protection paradigm is that quantitative exposure limits are based on the established acute effects, whereas the possible chronic effects are considered too uncertain for quantitative limits, but might justify precautionary measures. The choice of precautionary measures can be informed by a health‐economics analysis (HEA). We consider four such analyses of precautionary measures that have been conducted at a national or state level in California, the Netherlands, the United Kingdom, and Israel. We describe the context of each analysis, examine how they deal with some of the more significant issues that arise, and present a comparison of the input parameters and assumptions used. The four HEAs are methodologically similar. The most significant qualitative choices that have to be made are what dose‐response relationship to assume, what allowance if any to make for uncertainty, and, for a CBA only, what diseases to consider, and all four analyses made similar choices. These analyses suggest that, on the assumptions made, there are some low‐cost measures, such as rephasing, that can be applied to transmission in some circumstances and that can be justifiable in cost‐benefit terms, but that higher cost measures, such as undergrounding, become unjustifiable. Of the four HEAs, those in the United Kingdom and Israel were influential in determining the country's EMF policy. In California and Netherlands, the HEA may well have informed the debate, but the policy chosen did not stem directly from the HEA.     

同轴方形载流线圈间的磁力(英文)

为获得二同轴方形载流线圈间相互作用磁力，计算出了线圈间的互感系数。将虚功原理作为一种简捷方法加以运用，对该力极值位置进行了分析和图示。讨论平面内二同心方形线圈载流时一线圈不受磁张力的优良力学状态。     

三维交易模式下企业协同低碳减排研究

低碳经济下企业的运作模式已由传统的资源-产品二维交易演化为资源-产品-碳排放权的三维交易模式，因此对三维交易模式下企业协同减排的研究变的越来越重要。本文利用Stackelberg博弈理论探讨了销售商驱动情景下低碳再制造闭环供应链分散决策模型、集中决策模型、合作减排模型的运作规律，分析研究了低碳产品市场和废旧产品市场中低碳产品销售价、交易价格、低碳废旧产品回收价格等重要变量和节点企业期望效用及整个链条期望效用的变化规律。并通过数值算例与灵敏度分析，分别对三种博弈关系下低碳产品的碳排放量、消费者的敏感系数、碳交易价格的变动带来的销售商和制造商的期望效用及销售价、批发价带来的影响进行了分析。研究显示：与非低碳化相比，低碳化下制造商和销售商的期望效用均提高；风险规避程度、碳排放交易价格、碳排放量及消费者对低碳产品的敏感系数的提高均降低了期望效用，同时市场占有率随之减少。研究验证了低碳再制造闭环供应链模型的有效性及实用性，彰显了模型的经济与管理启示。     

The Efficacy of Different Methods for Informing the Public About the Range Dependency of Magnetic Fields from High Voltage Power Lines

The AC electric and magnetic fields associated with high voltage power lines have become a concern as a possible health risk. In most cases the strength of these fields decreases as the inverse square of the distance from the line. In earlier work, we found that laypeople do not understand how rapidly field strength decreases with distance. Most believe that any high voltage power line they can see is exposing them to strong fields. This paper confirms the earlier finding and explores a number of strategies which might be used in risk communications to correct this misperception. We found it relatively easy to provide subjects with a better understanding of the range-dependency of magnetic field strength. Moreover, the quality of this acquisition was apparently independent of the manner in which they were instructed. Such successful instruction is markedly different from the well-established difficulty of teaching people about many qualitative domains, such as physics or ideas in probability. Clearly, while some erroneous beliefs are highly resistant to change, others can be altered quite readily. We suspect that an important distinction between knowledge about the range-dependency of power-frequency magnetic fields and less tractable topics involves the presence or absence of prior folk-theories or "mental models" of the domain.     

一种复合控制器在直流调速系统中的应用

提出一种复合正交神经网络控制与传统PID控制相结合的复合控制器，仿真结果表明，相对于常规PID控制器，该复合控制器具有自学习和自适应功能，速度跟踪获得了满意的控制效果．     

The digital rainbow: Some history and applications of numerical spectrum analysis

Statistical concepts and techniques are basic to scientific investigation. One concept that enjoys both a theoretical and a physical existence is the spectrum. A spectrum may be described as a display of the intensity or variability of a phenomenon versus period or frequency. Spectra are particularly useful in the study of systems subject to resonance, but have many other uses. This paper begins with some of the historical development of the field, describing a sequence of contributions by Michelson, Schuster, Einstein, Fisher, Bartlett, Tukey, and Whittle. The paper next presents collaborative applications to the study of the free oscillations of the earth, to the dispersion of seismic surface waves and to nuclear-magnetic-resonance spectroscopy. Finally, there is mention of open problems and opinions on future directions.     

A Stochastic Geometry Model for Functional Magnetic Resonance Images

In functional magnetic resonance imaging, spatial activation patterns are commonly estimated using a non-parametric smoothing approach. Significant peaks or clusters in the smoothed image are subsequently identified by testing the null hypothesis of lack of activation in every volume element of the scans. A weakness of this approach is the lack of a model for the activation pattern; this makes it difficult to determine the variance of estimates, to test specific neuroscientific hypotheses or to incorporate prior information about the brain area under study in the analysis. These issues may be addressed by formulating explicit spatial models for the activation and using simulation methods for inference. We present one such approach, based on a marked point process prior. Informally, one may think of the points as centres of activation, and the marks as parameters describing the shape and area of the surrounding cluster. We present an MCMC algorithm for making inference in the model and compare the approach with a traditional non-parametric method, using both simulated and visual stimulation data. Finally we discuss extensions of the model and the inferential framework to account for non-stationary responses and spatio-temporal correlation.