Communities as allies

A popular axiom attributed to British policing is the police are the public and the public are the police. Inherent in this term is a blurring of the distinction between the police and the public they serve; the police are cast as being little different from the citizenry and citizens are cast into a role of responsibility for the safety and well-being of the community. In effect, communities are framed as allies in the fight to ensure safe and secure neighborhoods. Across space and time this idea has held uneven sway within American policing ideologies. This essay considers the relationship between the police and the policed, as well as how that relationship might be influenced be technological and social evolutions. The essay begins with an overview of the very notion of ―community‖ and their relationship with crime and disorder. This is followed by a brief review of the historical trajectory of police-community interactions within American policing. We then consider how emerging and future technologies might modify what ―community‖ means. The essay concludes with a consideration of police and community interactions and partnerships in the digital age

THE RESPONSE OF CORN FUTURES MARKETS TO AGRO-BIOTECHNOLOGY NEWS

Consumer perceptions of the potential negative side effects to the body and to the environment as well as consumer opinion regarding ethical issues of developing transgenic products has caused melee at times in the food marketing chain. This has prompted some firms, e.g., Frito Lay and Gerber, to publicly announce that grains and oilseeds produced using transgenic seed will not be used as an ingredient in the production of food. This research found little to support the notion that agro-biotechnology news and/ or recall/non-use announcements affected the CBOT corn futures market. As hypothesized, this result suggests that the market for non-transgenic corn is small relative to aggregate corn supply and demand, which the CBOT corn futures market represents.Marketing, Research and Development/Tech Change/Emerging Technologies,

Thirty-Three Stata Tips

Since 2003, the Stata Journal has published Stata Tips on special issues in data analysis with Stata. Now Thirty-three Stata Tips compiles these useful guides into a compact tome for ease of reference. In keeping with the Stata spirit, Tips are from Stata users and StataCorp employees alike and will serve as guideposts for both new and experienced users.data management, statistics, graphics, Stata

Structural Return Maximization for Reinforcement Learning

Batch Reinforcement Learning (RL) algorithms attempt to choose a policy from a designer-provided class of policies given a fixed set of training data. Choosing the policy which maximizes an estimate of return often leads to over-fitting when only limited data is available, due to the size of the policy class in relation to the amount of data available. In this work, we focus on learning policy classes that are appropriately sized to the amount of data available. We accomplish this by using the principle of Structural Risk Minimization, from Statistical Learning Theory, which uses Rademacher complexity to identify a policy class that maximizes a bound on the return of the best policy in the chosen policy class, given the available data. Unlike similar batch RL approaches, our bound on return requires only extremely weak assumptions on the true system

A unifying representation for a class of dependent random measures

We present a general construction for dependent random measures based on thinning Poisson processes on an augmented space. The framework is not restricted to dependent versions of a specific nonparametric model, but can be applied to all models that can be represented using completely random measures. Several existing dependent random measures can be seen as specific cases of this framework. Interesting properties of the resulting measures are derived and the efficacy of the framework is demonstrated by constructing a covariate-dependent latent feature model and topic model that obtain superior predictive performance

Manipulating the ensilage of wilted, unchopped grass through the use of additive treatments

peer-reviewedBaled silage composition frequently differs from that of comparable conventional precision-chop silage. The lower final concentration of fermentation products in baled silage makes it more conducive to the activities of undesirable microorganisms. Silage additives can be used to encourage beneficial microbial activity and/or inhibit detrimental microbial activity. The experiment was organised in a 2 (chop treatments) × 6 (additive treatments) × 2 (stages of ensilage) factorial arrangement of treatments (n = 3 silos/treatment) to suggest additive treatments for use in baled silage production that would help create conditions more inhibitory to the activities of undesirable microorganisms and realise an outcome comparable to precision-chop silage. Chopping the herbage prior to ensiling, in the absence of an additive treatment, improved the silage fermentation. In the unchopped herbage, where the fermentation was poorer, the lactic acid bacterial inoculant resulted in an immediate increase (P < 0.001) in lactic acid concentration and a faster decline (P < 0.001) in pH with a subsequent reduction in butyric acid (P < 0.001) and ammonia-N (P < 0.01) concentrations. When sucrose was added in addition to the lactic acid bacterial inoculant, the combined treatment had a more pronounced effect on pH, butyric acid and ammonia-N values at the end of ensilage. The formic acid based additive and the antimicrobial mixture restricted the activities of undesirable microorganisms resulting in reduced concentrations of butyric acid (P < 0.001) and ammonia-N (P < 0.01). These additives offer a potential to create conditions in baled silage more inhibitory to the activities of undesirable microorganisms.A Teagasc Walsh Fellowship Research Scholarship awarded to J. McEniry supported this study