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.     

External knowledge search,absorptive capacity and radical innovation in high-technology firms

Open innovation and absorptive capacity are two concepts based on the idea that companies can leverage the knowledge generated externally to improve their innovation performance. The aim of this paper is to analyse the joint effect of open innovation and absorptive capacity on a firm's radical innovation. Open innovation is expressed in terms of external search breadth and depth strategies and absorptive capacity is described by distinguishing between potential and realized absorptive capacity. In order to test our hypotheses, we carried out empirical research in firms operating in high-technology industries. The results indicate that internal routines and processes for absorbing external knowledge help explain radical innovation as they show a significant effect of potential and realized absorptive capacity. Also, there is a moderating effect of absorptive capacity on open innovation. Specifically, potential absorptive capacity exerts a positive effect on the relationship between external search breadth and depth and radical innovation. Realized absorptive capacity moderates the influence of external search breadth. These findings confirm the complementary nature of absorptive capacity and open innovation search strategies on radical innovation.     

现代俄语口语中省略词的使用

口语是语言变化、发展的重要环节。口语中的诸多表现手段缺少不了省略词的使用，而省略词的使用恰恰迎合了现代各种语言发展、变化的一个共同趋势，即简化趋势。本文从四个方面对现代俄语口语中省略词的使用情况进行了详细阐述，揭示了其在使用过程中所产生的语义、语法、词汇、修辞等方面的特点。     

文言文的英译技巧--林语堂译《浮生六记》与马丁·路德翻译细则之碰撞

从分析林译《浮生六记》与马丁·路德的翻译细则的碰撞入手 ,指出了新世纪的中国译学应是求同性与存异性的统一 ,既要广泛地批判吸收世界各国的译学传统 ,同时又要积极保持并展示自己文化的独立性与深度     

经贸英语在中国加入WTO后的新趋势

经贸英语对我国的经济和对外贸易业务起了相当重要的作用。中国加入WTO后和在西部大开发的进程中,同世界各国的外贸业务更加频繁,国际贸易业务知识已渗入日常的商务活动之中,外贸活动对英语能力的要求必将刺激经贸荚语的进一步发展和普及。外贸函电中电子商务的普遍应用,商务活动中的信息高速公路,电脑购物、电子货币和智能卡等,使得经贸英语出现许多新的特点和新的优势。本文对这些特点和优势进行了探讨。     

中国旅游开发投融资实践及走向

中国旅游业正成为国民经济新兴产业,中国旅游业正经历由亚洲旅游大国向2020年成为世界旅游强国转变的艰难跨越。这一跨越需要巨大的旅游投资来推动和实现。     

从信息管理到知识管理

探讨从信息管理到知识管理的演进及其渊源承继关系 ,有助于理解知识管理的内涵。分析表明 ,整合组织内显性和隐性知识以利于创新和提高组织整体智能是知识管理的本质特征     

论保护知识产权对信息资源共享的影响

在知识经济环境下 ,信息资源共享是提高整个社会信息资源获知能力与利用率的关键。保护知识产权就是保护知识生产者生产知识的动力 ,就是保护资源共享的源泉。它可以极大地促进知识资源的生产和有序利用。同时 ,保护知识产权又将在一定程度上限制和约束资源共享。因此 ,保护知识产权 ,充分发挥资源共享的功能 ,需要加强知识产权保护的立法、执法及宣传 ,实现保护知识产权与资源共享的有机结合     

"20世纪文艺复兴"的重要篇章--两次大战期间的美国小说思潮述评

两次世界大战期间的美国小说,成就尤显卓著.它作为综合体现美利坚民族文化意识的最重要文学样式,充分显示了美国文学的现代性、多样性和独创性,并从不同的侧面,反映了发达的资本主义社会背景下的各种冲突和矛盾,刻印着社会心理嬗变的轨迹.