Linguistic Labels and Categorization in Infancy: Do Labels Facilitate or Hinder?

Although it is generally accepted that labels facilitate categorization in infancy, recent evidence suggests that infants and young children are more likely to process visual input when presented in isolation than when paired with nonlinguistic sounds or linguistic labels. These findings suggest that auditory input (when compared to a no‐auditory baseline) may hinder rather than facilitate categorization. This study assessed 8‐month‐olds' (n = 191) and 12‐month‐olds' (n = 81) abilities to form categories when images were paired with nonlinguistic sounds, linguistic labels, and when presented in isolation. Overall, infants accumulated more looking when visual stimuli were accompanied by sounds or labels; however, infants were more likely to categorize when the visual images were presented without an auditory stimulus.     

An Advocacy Coalition Framework Approach to Stakeholder Analysis: Understanding the Political Context of California Marine Protected Area Policy

There is a growing recognition that public policy controversiesare driven more by value differences than by technical deficiencies.Unfortunately, we have yet to develop, test, and refine systematicapproaches for understanding political systems. In this articleI explain how the advocacy coalition framework (ACF) can beused as a theoretical basis for understanding political contextvia a stakeholder analysis. An ACF stakeholder analysis widensthe attention of policy analysts toward subsystem-wide dynamicswith multiple actors who are motivated by their beliefs, structuretheir relationships into advocacy coalitions, and try to influencepolicy through utilizing multiple resources and venues. I illustratean ACF approach to stakeholder analysis in a scientificallycontentious political conflict over the establishment of marineprotected areas in California. I conclude with a summary ofcontributions to the ACF literature and the strengths and limitationsof conducting an ACF stakeholder analysis.     

Southern two-lined salamanders in urbanizing watersheds

Forested riparian buffers are an increasingly common method of mitigating the negative effects of impervious surface cover on water quality and wildlife habitat. We sampled larval southern two-lined salamanders (Eurycea cirrigera) in 43 streams, representing the range of impervious surface cover and forested riparian buffer width across Wake County, NC, USA. Larval abundance decreased with increasing impervious surface cover in the upstream catchment, but was not affected by buffer width. This is likely a result of an incomplete buffer system and culverts or other breaches along streams. Larval abundance increased with detritus cover in the stream to a threshold and then decreased as detritus continued to increase. As percent pebble substrate in the stream increased, especially in perennial streams, larval salamander abundance also increased. We suspect salamanders were unable to migrate with the water column during dry periods in intermittent streams with sedimented interstices below the surface, resulting in low abundances. A combination of increased peak flows and sedimentation, reduced base flow, and chemical changes likely reduces the abundance of salamanders in urban and suburban streams. We suggest creation of catchment-wide, unbreached buffers to maintain the integrity of stream habitats in urbanizing watersheds.     

Individual laboratory-measured discount rates predict field behavior

We estimate discount rates of 555 subjects using a laboratory task and find that these individual discount rates predict inter-individual variation in field behaviors (e.g., exercise, BMI, smoking). The correlation between the discount rate and each field behavior is small: none exceeds 0.28 and many are near 0. However, the discount rate has at least as much predictive power as any variable in our dataset (e.g., sex, age, education). The correlation between the discount rate and field behavior rises when field behaviors are aggregated: these correlations range from 0.09–0.38. We present a model that explains why specific intertemporal choice behaviors are only weakly correlated with discount rates, even though discount rates robustly predict aggregates of intertemporal decisions.     

Estimation of parameterized spatio-temporal dynamic models

Spatio-temporal processes are often high-dimensional, exhibiting complicated variability across space and time. Traditional state-space model approaches to such processes in the presence of uncertain data have been shown to be useful. However, estimation of state-space models in this context is often problematic since parameter vectors and matrices are of high dimension and can have complicated dependence structures. We propose a spatio-temporal dynamic model formulation with parameter matrices restricted based on prior scientific knowledge and/or common spatial models. Estimation is carried out via the expectation–maximization (EM) algorithm or general EM algorithm. Several parameterization strategies are proposed and analytical or computational closed form EM update equations are derived for each. We apply the methodology to a model based on an advection–diffusion partial differential equation in a simulation study and also to a dimension-reduced model for a Palmer Drought Severity Index (PDSI) data set.     

世界休闲:促进人类健康

促进人类健康是全世界的愿望.改善人类环境和提高生活质量是休闲体验的前提条件.毫无疑问,休闲已经成为当今社会的一股新生力量,它有能力通过文化认同、扩大选择权、维持经济的持续增长促进个人、社区和国家的发展,对改善人类生存状况和提高个人的健康水平功不可没.世界休闲组织,作为世界性的组织,致力于帮助个人和组织了解休闲是如何提高人类的生活质量的.同时致力于科研,促进休闲,并通过项目和服务,改进休闲政策和法规.世界休闲组织相信休闲能为全世界人民耨拥有精彩的人生提供一种模式.     

Die Identifizierung von Lead Usern über soziale Netzwerke: Eine empirische Untersuchung unter jungen Konsumenten

In recent years, the lead user concept has received a great deal of attention in both academic research and corporate practice. Despite broad empirical evidence regarding the high potential of lead users for new product development, we still lack a full understanding of their nature and what enables individual consumers to become lead users. Our study addresses these fundamental issues in lead user research and examines them from a perspective which focuses on the social context of individual consumers. This angle is promising and fruitful as individual creative processes are couched in social networks. As a result, our investigation is guided by the following research question: Do lead users have a distinct social ‘footprint’ in social networks? We chose 34 groups of 804 young consumers as the empirical setting for our study, which yields two general findings: First, lead users are positioned as bridging links between different clusters of people. Being in this ‘boundary-spanning’ position implies that lead users have a wider reach and variety in receiving and distributing information and knowledge. Second, this finding is robust across different age groups. The insights from our study contribute to developing new means of identifying lead users in different settings, including Web 2.0 communities.     

Assessment of Interindividual and Geographic Variability in Human Exposure to Fine Particulate Matter in Environmental Tobacco Smoke

Environmental tobacco smoke (ETS) is a major contributor to indoor human exposures to fine particulate matter of 2.5 μm or smaller (PM_2.5). The Stochastic Human Exposure and Dose Simulation for Particulate Matter (SHEDS‐PM) Model developed by the U.S. Environmental Protection Agency estimates distributions of outdoor and indoor PM_2.5 exposure for a specified population based on ambient concentrations and indoor emissions sources. A critical assessment was conducted of the methodology and data used in SHEDS‐PM for estimation of indoor exposure to ETS. For the residential microenvironment, SHEDS uses a mass‐balance approach, which is comparable to best practices. The default inputs in SHEDS‐PM were reviewed and more recent and extensive data sources were identified. Sensitivity analysis was used to determine which inputs should be prioritized for updating. Data regarding the proportion of smokers and “other smokers” and cigarette emission rate were found to be important. SHEDS‐PM does not currently account for in‐vehicle ETS exposure; however, in‐vehicle ETS‐related PM_2.5 levels can exceed those in residential microenvironments by a factor of 10 or more. Therefore, a mass‐balance‐based methodology for estimating in‐vehicle ETS PM_2.5 concentration is evaluated. Recommendations are made regarding updating of input data and algorithms related to ETS exposure in the SHEDS‐PM model. Interindividual variability for ETS exposure was quantified. Geographic variability in ETS exposure was quantified based on the varying prevalence of smokers in five selected locations in the United States.