间歇式活性污泥法模拟试验

本文提出了一个用来描述间歇式活性污泥法性能的模型,该模型由四步组成(包括基质增长、产物增长、水解作用和衰减四步),利用文献中的一组实验数据对模型中的两个参数进行估值,然后在不修正任一参数的情况下用该模型去预测其他五组实验数据,在一个宽的反应周期比(1/3:3/1)和COD负荷(340:3300mg/L)情况下,该模型具有优良的预测性能。

Seismic Analysis for Rigid-Framed Prestressed Reinforced Concrete Bridge in Tianjin Light Railway

The seismic analysis of a rigid-framed prestressed concrete bridge in Tianjin Light Railway is performed. A 3-D dynamic finite element model of the bridge is established considering the weakening effect caused by the soft soil foundation. After the dynamic characteristics are calculated in terms of natural frequencies and modes, the seismic analysis is carried out using the modal response spectrum method and the time-history method, respectively. Based on the calculated results, the reasonable design values are finally suggested as the basis of the seismic design of the bridge, and meanwhile the problems encountered were also analyzed. Finally, some conclusions are drawn as: 1) Despite the superiority of rigid-framed prestressed concrete bridge, the upper and lower ends of the piers of the bridge are proved to be the crucial parts of the bridge, which are easily destroyed under designed earthquake excitations and should be carefully analyzed and designed; 2) The soft soil foundation can possibly result in rather weakening of the lateral rigidity of the rigid-framed bridge, and should be paid considerable attention; 3) The modal response spectrum method, combined with time-history method, is suggested for the seismic analysis in engineering design of the rigid-framed prestressed concrete bridge.

A Mixed Reality System for Investigating Expert Characteristics on Recall of Situation Including Self-Motion

To study recall accuracy of the offensive and defensive situations including movements of elite-athlete/novice oneself, a novel experimental system was developed where defensive actions were performed by the subject with a CG （Computer Graphics） player who presented predetermined offensive actions. Both the CG player＇s movements and subject＇s movements were reproduced by a video using mixed reality technology for recall examination. This system was also designed to rearrange the natural sequence of image frames resulting in a reproducible video in which the time relation of offense and defense was falsified. Displacement of timing in the false video was twofold; delayed from the truth or advanced from the truth. Using this two-video, true/false imagery method, the subject was asked to select the true video by recall; thus it became possible to examine the recall accuracy quantitatively by controlling the timing displacement. Results of the experiment using this system revealed that karate expert possessed a skill to recognize the time relation between the opponent＇s movement and one＇s own movement perceptually that was more developed than that of the novice. It was further identified that the expert as well as the novice recognized delayed displacement more accurately than they could recognize advanced displacement.

Exercise is recreation not medicine

Purpose： This paper responds to the question, is exercise medicine？ It does so using a qualitative case study that proposes that exercise is recreation. The study （1） describes and reflects upon an exercise is recreation metaphor, （2） establishes the principles and processes used to develop a sport park within which exercise is recreation, and （3） presents a comparative analysis of the exercise is recreation approach with a UK quality framework for ＂exercise referrals＂. Methods： Four years of documentation were collated and placed into 14 categories： （1） university strategies, （2） plans of the site, （3） policy documents, （4） minutes of a steering group, （5） contemporary documents, （6） organisational charts, （7） responses to local government policies on sport, （8） consultation documents, （9） operational procedures, （10） facility specifications, （11） partnership agreements, （12） material relating to the university＇s work on events, （13） notes on the universities sport department, and （14） timetables. These data were analysed through a 4-stage process which used recreation as the analytical theme for a comparative analysis. Results： The characteristics of the exercise is recreation metaphor in this case are （1） a focus on the experience of the user, （2） the promotion of well-being, （3） the importance of community, （4） embracing inclusivity, （5） sport, （6） aesthetics, and （7） leisure time. The principles and processes used to develop the sport park were （1） custodianship, （2） partnerships, （3） values, （4） inter-professional working, （5） local heritage, （6） change, （7） the natural park environment, and （8） ＂riding the bike as you build it＂. The comparative analysis with a UK quality framework for ＂exercise referrals＂ clearly shows a difference from an exercise is recreation approach. Conclusion： Exercise is recreation and may enable individuals and communities to reach a state of well-being. ~ 2016 Production and hosting by Elsevier B.V. on behalf of Shanghai University of Sport. This is an open access article under the CC BY-NC-ND license （http：//creativecommons.org/licenses/by-nc-nd/4.0/）.

LEARNING CAUSAL GRAPHS OF NONLINEAR STRUCTURAL VECTOR AUTOREGRESSIVE MODEL USING INFORMATION THEORY CRITERIA

Detection and clarification of cause-effect relationships among variables is an important problem in time series analysis. Traditional causality inference methods have a salient limitation that the model must be linear and with Gaussian noise. Although additive model regression can effectively infer the nonlinear causal relationships of additive nonlinear time series, it suffers from the limitation that contemporaneous causal relationships of variables must be linear and not always valid to test conditional independence relations. This paper provides a nonparametric method that employs both mutual information and conditional mutual information to identify causal structure of a class of nonlinear time series models, which extends the additive nonlinear times series to nonlinear structural vector autoregressive models. An algorithm is developed to learn the contemporaneous and the lagged causal relationships of variables. Simulations demonstrate the effectiveness of the nroosed method.