Titlebook: Inclusive Policing from the Inside Out; Angela L. Workman-Stark Book 2017 Springer International Publishing AG 2017 women in policing.poli

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Migratory

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Conclusion,would take me. I never imagined that learning about the many unfortunate experiences of women who had been bullied, harassed and discriminated against would compel me to better understand what was actually happening below the surface. What I have learned through my interviews with serving and former

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unclear. The present research examines the role of neuronal gain plasticity in time-series of simulated neuronal networks composed of integrate-and-fire stochastic spiking neurons and the utility of fractal methods in assessing network criticality. Simulated time-series were derived from a network m

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Angela L. Workman-Starktiple layers. Such layers only consider attribute information of node neighbors in the forward model and do not incorporate knowledge of global network structure in the learning task. In particular, the modularity function provides a convenient source of information about the community structure of

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Angela L. Workman-Starktiple layers. Such layers only consider attribute information of node neighbors in the forward model and do not incorporate knowledge of global network structure in the learning task. In particular, the modularity function provides a convenient source of information about the community structure of

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Angela L. Workman-Starkdescription?corresponds to a bewildering array of systems in the real world,?ranging from technological ones such as the Internet and World?Wide Web, biological networks such as that of connections of the?nervous systems, food webs or? protein interactions,?infrastructural systems such as networks o

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Angela L. Workman-Starkaking networks simple and easy to understand. As an attempt to incorporate background knowledge of given networks, a method known as constrained community detection has been proposed recently. Constrained community detection shows robust performance on noisy data since it uses background knowledge.

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Angela L. Workman-Stark on the interdisciplinary nature of complex-network approach.The lastdecades have seen the emergence of Complex Networks as the language with whicha wide range of complex phenomena in fields as diverse as Physics, ComputerScience, and Medicine (to name just a few) can be properly described andunders