非光滑复杂网络的混沌同步

通过广义哈密顿系统和观测器方法研究了一类非光滑复杂网络混沌系统的同步控制问题,消除了非光滑项,得到了光滑的误差系统,利用Lyapunov稳定性理论得到了误差系统渐近稳定的充分条件.     

孔隙介质中滞留聚合物分子的粘弹效应系数

本文在文献[1]的基础上做了进一步的试验研究,发现慢速降压过程流速对时间的依赖关系呈指数曲线形式,同时进行了慢速升压试验,同样发现流速与时间的指数关系。文中对文献[1]定义的附加残余效应系数提出了修改,重新定义为滞留分子粘弹效应系数,对降压过程和升压过程的粘弹效应系数进行了对比。通过岩心出口液浓度数据,证实了文中描述的粘弹效应机理和分子构象改变的物理模型的可靠性。     

Integrating Operational and Organizational Aspects in Interdependent Infrastructure Network Recovery

Managing risk in infrastructure systems implies dealing with interdependent physical networks and their relationships with the natural and societal contexts. Computational tools are often used to support operational decisions aimed at improving resilience, whereas economics‐related tools tend to be used to address broader societal and policy issues in infrastructure management. We propose an optimization‐based framework for infrastructure resilience analysis that incorporates organizational and socioeconomic aspects into operational problems, allowing to understand relationships between decisions at the policy level (e.g., regulation) and the technical level (e.g., optimal infrastructure restoration). We focus on three issues that arise when integrating such levels. First, optimal restoration strategies driven by financial and operational factors evolve differently compared to those driven by socioeconomic and humanitarian factors. Second, regulatory aspects have a significant impact on recovery dynamics (e.g., effective recovery is most challenging in societies with weak institutions and regulation, where individual interests may compromise societal well‐being). And third, the decision space (i.e., available actions) in postdisaster phases is strongly determined by predisaster decisions (e.g., resource allocation). The proposed optimization framework addresses these issues by using: (1) parametric analyses to test the influence of operational and socioeconomic factors on optimization outcomes, (2) regulatory constraints to model and assess the cost and benefit (for a variety of actors) of enforcing specific policy‐related conditions for the recovery process, and (3) sensitivity analyses to capture the effect of predisaster decisions on recovery. We illustrate our methodology with an example regarding the recovery of interdependent water, power, and gas networks in Shelby County, TN (USA), with exposure to natural hazards.     

Cross‐Sectional Psychological and Demographic Associations of Zika Knowledge and Conspiracy Beliefs Before and After Local Zika Transmission

Perceptions of infectious diseases are important predictors of whether people engage in disease‐specific preventive behaviors. Having accurate beliefs about a given infectious disease has been found to be a necessary condition for engaging in appropriate preventive behaviors during an infectious disease outbreak, while endorsing conspiracy beliefs can inhibit preventive behaviors. Despite their seemingly opposing natures, knowledge and conspiracy beliefs may share some of the same psychological motivations, including a relationship with perceived risk and self‐efficacy (i.e., control). The 2015–2016 Zika epidemic provided an opportunity to explore this. The current research provides some exploratory tests of this topic derived from two studies with similar measures, but different primary outcomes: one study that included knowledge of Zika as a key outcome and one that included conspiracy beliefs about Zika as a key outcome. Both studies involved cross‐sectional data collections that occurred during the same two periods of the Zika outbreak: one data collection prior to the first cases of local Zika transmission in the United States (March–May 2016) and one just after the first cases of local transmission (July–August). Using ordinal logistic and linear regression analyses of data from two time points in both studies, the authors show an increase in relationship strength between greater perceived risk and self‐efficacy with both increased knowledge and increased conspiracy beliefs after local Zika transmission in the United States. Although these results highlight that similar psychological motivations may lead to Zika knowledge and conspiracy beliefs, there was a divergence in demographic association.     

Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non‐stationary Volatility

In this paper, we consider the deterministic trend model where the error process is allowed to be weakly or strongly correlated and subject to non‐stationary volatility. Extant estimators of the trend coefficient are analysed. We find that under heteroskedasticity, the Cochrane–Orcutt‐type estimator (with some initial condition) could be less efficient than Ordinary Least Squares (OLS) when the process is highly persistent, whereas it is asymptotically equivalent to OLS when the process is less persistent. An efficient non‐parametrically weighted Cochrane–Orcutt‐type estimator is then proposed. The efficiency is uniform over weak or strong serial correlation and non‐stationary volatility of unknown form. The feasible estimator relies on non‐parametric estimation of the volatility function, and the asymptotic theory is provided. We use the data‐dependent smoothing bandwidth that can automatically adjust for the strength of non‐stationarity in volatilities. The implementation does not require pretesting persistence of the process or specification of non‐stationary volatility. Finite‐sample evaluation via simulations and an empirical application demonstrates the good performance of proposed estimators.     

Feminized Forestry: The Promises and Pitfalls of Change in a Masculine Organization

The gendering of forestry as a distinctly masculine profession has led to a wide range of negative outcomes, including legal actions concerning discrimination, poor public perceptions and poor environmental records. Forestry organizations have addressed these concerns by attempting to increase the number of women in the profession. These efforts have been largely ineffective. Using the case of community‐based forestry, I argue that when we begin to consider not only women but also normatively feminine values as agents of change, our understanding of the profession of forestry may be rejuvenated.     

循环的“真”概念与真理修正理论探析

美国哲学家古普塔提出了"真理修正理论",试图修复克里普克建立在强克林三值逻辑基础上的不动点理论的缺点,进一步说明"真"概念在自然语言中的用法,从而成为解决语义悖论之语境迟钝进路的最重要代表。该理论的关键是承认"真"是一个循环概念,并依据循环定义提出修正规则,用修正规则来阐明"真"概念的实际使用。在分析真理修正理论所受到的批评与辩护的基础上,运用RZH解悖标准辨析可以表明,该理论进一步研究的焦点在于其作为一种解悖方案的"非特设性"哲学说明,特别是"真"作为一个循环概念这一前提的可接受性。     

把脉经济形势,引领经济新常态——2014年“经济形势专家座谈会”综述

2014年,世界经济复苏疲软,增长格局加速分化;中国经济运行总体平稳,"新常态"特征显著。上海经济的"新常态"的实质是经济增长的动力和结构发生根本改变,表现为新阶段、新增长、新结构、新动力、新空间、新风险。要用新的经济增长动力来推动经济增长,即:服务业提升、城乡一体化、制造业升级。