A two-stage model for a two-stage process: How biographical availability matters for social movement mobilization

We model differential participation in protest as a two-stage mobilization process: willingness to engage in protest and conversion of willingness into participation. Treating mobilization as a two-stage process resolves an important puzzle in the literature on differential participation: the lack of constraining effects for biographical unavailability. Using a nationally representative sample of individuals in the United States, we find that while our measures of biographical unavailability have no effect on the second stage of the mobilization process (converting willingness to protest to actual behavior), they show robust negative effects on the first stage of the mobilization process, removing people from the pool of willing protest participants. We also find that gender moderates the relationship between some of our measures of biographical unavailability - particularly marital status - and protest willingness. © Mobilization: An International Journal

Knowledge transfer and management consulting: A look at “The firm”

In the authors 'view, a firm's competitive advantage comes from the value it can develop for its customers. Most successful firms today can be considered „intelligent enterprises” because they transform intellectual assets into product and service outputs. It follows that knowledge transfer is especially critical for the functioning of a management consulting firm, because knowledge is the cornerstone of the services such a firm offers its clients

Sub-Pixel Response Measurement of Near-Infrared Sensors

Wide-field survey instruments are used to efficiently observe large regions of the sky. To achieve the necessary field of view, and to provide a higher signal-to-noise ratio for faint sources, many modern instruments are undersampled. However, precision photometry with undersampled imagers requires a detailed understanding of the sensitivity variations on a scale much smaller than a pixel. To address this, a near-infrared spot projection system has been developed to precisely characterize near-infrared focal plane arrays and to study the effect of sub-pixel non uniformity on precision photometry. Measurements of large format near-infrared detectors demonstrate the power of this system for understanding sub-pixel response.Comment: 9 pages, 13 figures, submitted to PAS

Chapter Biocytin-Based Contrast Agents for Molecular Imaging: An Approach to Developing New In Vivo Neuroanatomical Tracers for MRI

Geology & the lithospher

All Politics is Local: The Renminbi's Prospects as a Future Global Currency

. In this article we describe methods for improving the RWTH German speech recognizer used within the VERBMOBIL project. In particular, we present acceleration methods for the search based on both within-word and across-word phoneme models. We also study incremental methods to reduce the response time of the online speech recognizer. Finally, we present experimental off-line results for the three VERBMOBIL scenarios. We report on word error rates and real-time factors for both speaker independent and speaker dependent recognition. 1 Introduction The goal of the VERBMOBIL project is to develop a speech-to-speech translation system that performs close to real-time. In this system, speech recognition is followed by subsequent VERBMOBIL modules (like syntactic analysis and translation) which depend on the recognition result. Therefore, in this application it is particularly important to keep the recognition time as short as possible. There are VERBMOBIL modules which are capable to work ..

Genetic Markers of Obesity Risk: Stronger Associations with Body Composition in Overweight Compared to Normal-Weight Children

Genetic factors are important determinants of overweight. We examined whether there are differential effect sizes depending on children's body composition. We analysed data of n = 4,837 children recorded in the Avon Longitudinal Study of Parents and Children (ALSPAC), applying quantile regression with sex- and age-specific standard deviation scores (SDS) of body mass index (BMI) or with body fat mass index and fat-free mass index at 9 years as outcome variables and an "obesity-risk-allele score" based on eight genetic variants known to be associated with childhood BMI as the explanatory variable. The quantile regression coefficients increased with increasing child's BMI-SDS and fat mass index percentiles, indicating larger effects of the genetic factors at higher percentiles. While the associations with BMI-SDS were of similar size in medium and high BMI quantiles (40th percentile and above), effect sizes with fat mass index increased over the whole fat mass index distribution. For example, the fat mass index of a normal-weight (50th percentile) child was increased by 0.13 kg/m(2) (95% confidence interval (CI): 0.09, 0.16) per additional allele, compared to 0.24 kg/m(2) per allele (95% CI: 0.15, 0.32) in children at the 90th percentile. The genetic associations with fat-free mass index were weaker and the quantile regression effects less pronounced than those on fat mass index. Genetic risk factors for childhood overweight appear to have greater effects on fatter children. Interaction of known genetic factors with environmental or unknown genetic factors might provide a potential explanation of these findings

Biocytin-Based Contrast Agents for Molecular Imaging: An Approach to Developing New In Vivo Neuroanatomical Tracers for MRI

One of the most striking characteristic of the brain is its profuse neuronal connectivity. Not surprisingly, the function of the nervous system critically depends on the spatiotemporal pattern of intercommunication between different regions of the brain. Both macro- and microscopic aspects of the wiring diagrams of brain circuits are relevant and need to be understood in order to cope with the complexity of the brain function. In this way, for instance, the long-range connections that carry the functional specification of cortical territories need to be studied together with the detailed microcircuits inside a cortical column. Moreover, the temporal dimension of these wiring diagrams must be investigated since neuronal networks are dynamic structures exhibiting context-dependent changes in synaptic weights (Canals et al., 2009) and numbers (Chklovskii et al., 2004). Investigations over the last decades strongly suggest that stimulus or task related neural activity is distributed over large parts of the brain, covering different cortical and sub-cortical areas. For a detailed understanding of brain function, it is of prime importance to understand the organization of the neuronal connections. To chart the anatomical connections between the various components of brain networks, the neuronal tract tracing technique has been proved to be very useful. Thus, experimental tools that allow the exploration of brain circuits at diverse organizational levels are mandatory for the understanding of brain intercommunication and information processing