147 resultados para intelligence-led policing


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This article provides an overview of the police reform process undertaken in Northern Ireland since 1999 as part of a broader program of conflict resolution. It considers the recommendations of the Independent Commission on Policing (ICP), which proposed a number of changes to policing structures and arrangements in Northern Ireland, and it assesses the degree to which these have been operationalized in the 8 years since the ICP published its report. It suggests that although the police reform process in Northern Ireland has been moderately successful and provides a number of international best practice lessons, the overall pace of change has been hindered by difficulties of implementation and, more fundamentally, by developments in the political sphere and civil society.

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Editorial for 17th AICS Conference

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Background. Obesity appears to be more common among people with intellectual disabilities, with few studies focusing on achieving weight reduction. Aim. Firstly, to follow up people identified as overweight and obese following special health screening clinics and to determine the actions taken. Secondly, to evaluate the impact of health promotion classes on participants' weight loss. Methods. A clinic led by two learning disbaility nurses was held for all people aged 10 years and over (n=464) who attended special services within the area of one Health and Social Services Trust in Northern Ireland. In a second study, the nurses organised health promotion classes for 20 people over a 6 - 8 week period. Findings. The health screen identified 64% of adults and 26% of 10 - 19 year olds as being overweight or obese. Moreover, those aged 40 - 49 years who were obese had significantly higher levels of blood pressure. However, information obtained from a follow up questionnaire sent after 3 months suggested that of the 122 people identified for wiehgt reduciton, action had been taken for only 34% of them and only three were reported to have lost weight. The health promotion classes, however, led to a significant reduction in weight and body mass index scores. Conclusion. Health screening per se has limited impact on reducing obesity levels in this client group. Rather, health personnel such as general practitioners, nurses and health promotion staff need to work in partnership with service staff, carers and people with intellectual disabiltieis to create more active lifestyles.

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This paper engages with contemporary discussions in relation to the commodification of policing and security. It suggests that the existing literature regarding these trends has been geared primarily towards commercial security providers and has failed to address the processes by which public policing models are commodified and marketed both within, and through, the transnational policing community. Drawing upon evidence from the police change process in Northern Ireland, we argue that a Northern Irish Policing Model (NIPM) has emerged in the aftermath of the Independent Commission on Policing (ICP) reforms. This is increasingly branded and promoted on the global stage. Furthermore, we suggest that the NIPM is not monolithic, but segmented, and targeted towards a number of different 'consumers' both domestically and transnationally. Reflecting these diverse markets, the NIPM draws upon two seemingly incongruous constituent elements: the 'best practice' lessons of policing transition, as embodied in the ICP reforms; and, the legacy of counter-terrorism expertise drawn from the preceding decades of conflict. The discussion concludes by querying as to which of these components of the NIPM is in the ascendancy.

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Charting the enduring export appeal of policing models from (Northern) Ireland, this article sheds some light on the processes by which policing models are communicated and actively promoted to the global policing environment. The authors demonstrate how the transplantation of the Irish colonial model (ICM) represents an early example of the globalization of policing. The legacy of counterinsurgency expertise embedded within the ICM remains a historical constant and is a key factor in relation to the increasing commodification of the contemporary Northern Irish policing model, a model that successfully blends counterterrorism experience with a template for democratic policing reform. By juxtaposing these models, the authors provide a conceptual framework through which to assess the contemporary substance of policing transfer. The authors conclude by suggesting that the seductiveness of these policing models is largely attributable to lessons in counterinsurgency and notions of "Ireland as the solution" to a host of complex security scenarios.

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This study explores using artificial neural networks to predict the rheological and mechanical properties of underwater concrete (UWC) mixtures and to evaluate the sensitivity of such properties to variations in mixture ingredients. Artificial neural networks (ANN) mimic the structure and operation of biological neurons and have the unique ability of self-learning, mapping, and functional approximation. Details of the development of the proposed neural network model, its architecture, training, and validation are presented in this study. A database incorporating 175 UWC mixtures from nine different studies was developed to train and test the ANN model. The data are arranged in a patterned format. Each pattern contains an input vector that includes quantity values of the mixture variables influencing the behavior of UWC mixtures (that is, cement, silica fume, fly ash, slag, water, coarse and fine aggregates, and chemical admixtures) and a corresponding output vector that includes the rheological or mechanical property to be modeled. Results show that the ANN model thus developed is not only capable of accurately predicting the slump, slump-flow, washout resistance, and compressive strength of underwater concrete mixtures used in the training process, but it can also effectively predict the aforementioned properties for new mixtures designed within the practical range of the input parameters used in the training process with an absolute error of 4.6, 10.6, 10.6, and 4.4%, respectively.