47,064 research outputs found
"We've had nothing for so long that we don't know what to ask for", New Deal for Communities and the regeneration of socially excluded terrain
This paper explores New Labourâs desire to refurbish the physical and social fabric of excluded neighbourhoods through its New Deal for Communities (NDC) programme. It begins by examining three key concepts that embody and underpin this policy intervention â community, agency and exclusion and proceeds by contrasting these conceptual dimensions with a set of discordant, intra-neighbourhood processes of conïŹict, contestation and division, identiïŹed by recently conducted ïŹeldwork in an NDC area. I argue that such processes produce a complex social terrain that is inhabited by social agents with a diverse range of needs, values and experiences, before discussing how this challenges and de-stabilises NDCâs aspiration to âpromoteâ community, change individual behaviour and tackle exclusion effectively. The paper concludes by questioning whether
New Labourâs desire to implement a âcommunityâ project, shaped by theoretical precepts, constrains NDCâs ability to deliver lasting change to excluded areas
Henry A. Wallace to John D. Feerick
Letter from Vice President Henry A. Wallace to Dean John D. Feerick, regarding his scholarly article on presidential inability.https://ir.lawnet.fordham.edu/twentyfifth_amendment_correspondence/1009/thumbnail.jp
Play it Again, Uncle Sam
Tashima, currently a federal judge, relates his experience in a Japanese American internment camp at Poston AZ during WWII. The unjust internment was in part a failure of the federal courts to protect the constitutional rights of American citizens
Analysis of reinforcement learning strategies for predation in a mimic-model prey environment
In this paper we propose a mathematical learning model for a stochastic automaton simulating the
behaviour of a predator operating in a random environment occupied by two types of prey:
palatable mimics and unpalatable models. Specifically, a well known linear reinforcement learning
algorithm is used to update the probabilities of the two actions, eat prey or ignore prey, at every
random encounter. Each action elicits a probabilistic response from the environment that can be
either favorable or unfavourable. We analyse both fixed and varying stochastic responses for the
system. The basic approach of mimicry is defined and a short review of relevant previous approaches in
the literature is given. Finally, the conditions for continuous predator performance improvement are
explicitly formulated and precise definitions of predatory efficiency and mimicry efficiency are
also provided
Background of the SOP sup 2
Two areas of interest are elaborated: Saturn mission design history, and Saturn's place in NASA's program plans. The first area provides a view of how changing concepts and techniques can affect mission design and science return. The second puts Saturn in perspective with regard to its role in NASA's overall planetary program
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