19 resultados para sentence discounts

em QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast


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While it is widely believed that the use of amnesties and similar measures would mark a new departure in NI and the UK, so that speculation about their introduction causes public controversy and threatens political instability, the report demonstrates that such measures have in fact been repeatedly used in a wide range of circumstances since the foundation of the NI state. The paper offers definitions of the key measures which have been employed, including amnesties, sentence reductions linked to peace building and use immunities. It explores their historical use and its consequences.

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In line with recent incapacitative efforts aimed at dealing with dangerous people in the community, the Government has proposed a new indeterminate sentence to deal with the current gap in the law which exists in relation to dangerous individuals with untreatable severe personality disorders. However, these new measures have serious civil liberty implications and are largely unworkable in practice. It is suggested that rather than introducing these new powers it would be better to consider amending deficiencies which exist in the criminal justice and mental health systems in respect of the management of violent and sexual offenders.

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Statistical methods of describing prosody were used to study fluency, expressiveness and their relationship among 8-10-year-old readers. There were robust relationships between expressiveness and variables associated with pitch mobility; and between fluency and measures associated with temporal organization. Interactions indicated that the relationships were not simple. Differences between groups depended on sentence content and position. Some measures offer a basis for rules aimed at assigning individuals to skill categories. The effects suggest psychological hypotheses about the underlying mechanisms.

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Following surgery for esophageal cancer, patients can experience complex physical, social, and emotional changes. Investigation of these challenges, particularly from the perspective of the patient and his or her carer, has been limited. The current study explored the emotional and cognitive experiences of esophageal cancer survivors and those of their carers, using focus groups conducted with members of a patient support group. Analysis of the patients’ data yielded three themes: coping with a death sentence, adjusting to and accepting an altered self, and the unique benefits of peer support. Analysis of the carers’ data also yielded three themes: the carer as buffer, representations of recovery and recurrence, and normalizing experiences through peer support. Esophageal cancer patients and their carers require holistic support in their efforts to adjust to the social, emotional, and physical consequences of esophagectomy. Peers could be an effective channel for the support of patients and carers.

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A sentence of exile was a regular feature of the Russian revolutionary’s underground career. In order to survive this punishment and continue their struggle against Tsarism, revolutionaries relied on help from their fellow exiles, their party, the Political Red Cross and, often, their families. Historians have rarely acknowledged the role of kin in supporting the revolutionary movement and very few studies have noted the attempts by families to mitigate the worst aspects of a sentence of exile. This article explores the ways in which spouses and siblings, parents and children obtained concessions from the Tsarist authorities regarding their loved ones’ sentences of exile, helped off-set the poverty to which many exiles were reduced, and, above all, combated the sense of loneliness and depression to which those in exile were exposed. This article argues that such familial support had a collective and positive impact on revolutionaries’ experience of exile. More broadly it provides an illuminating case study of the blurred space between public and private which the revolutionary occupied and highlights the way in which the movement depended on help from sympathisers and family members in order to function effectively on a daily basis.

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A scalable large vocabulary, speaker independent speech recognition system is being developed using Hidden Markov Models (HMMs) for acoustic modeling and a Weighted Finite State Transducer (WFST) to compile sentence, word, and phoneme models. The system comprises a software backend search and an FPGA-based Gaussian calculation which are covered here. In this paper, we present an efficient pipelined design implemented both as an embedded peripheral and as a scalable, parallel hardware accelerator. Both architectures have been implemented on an Alpha Data XRC-5T1, reconfigurable computer housing a Virtex 5 SX95T FPGA. The core has been tested and is capable of calculating a full set of Gaussian results from 3825 acoustic models in 9.03 ms which coupled with a backend search of 5000 words has provided an accuracy of over 80%. Parallel implementations have been designed with up to 32 cores and have been successfully implemented with a clock frequency of 133?MHz.

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Temporal dynamics and speaker characteristics are two important features of speech that distinguish speech from noise. In this paper, we propose a method to maximally extract these two features of speech for speech enhancement. We demonstrate that this can reduce the requirement for prior information about the noise, which can be difficult to estimate for fast-varying noise. Given noisy speech, the new approach estimates clean speech by recognizing long segments of the clean speech as whole units. In the recognition, clean speech sentences, taken from a speech corpus, are used as examples. Matching segments are identified between the noisy sentence and the corpus sentences. The estimate is formed by using the longest matching segments found in the corpus sentences. Longer speech segments as whole units contain more distinct dynamics and richer speaker characteristics, and can be identified more accurately from noise than shorter speech segments. Therefore, estimation based on the longest recognized segments increases the noise immunity and hence the estimation accuracy. The new approach consists of a statistical model to represent up to sentence-long temporal dynamics in the corpus speech, and an algorithm to identify the longest matching segments between the noisy sentence and the corpus sentences. The algorithm is made more robust to noise uncertainty by introducing missing-feature based noise compensation into the corpus sentences. Experiments have been conducted on the TIMIT database for speech enhancement from various types of nonstationary noise including song, music, and crosstalk speech. The new approach has shown improved performance over conventional enhancement algorithms in both objective and subjective evaluations.

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This paper reviews existing research on offender supervision in the Republic of Ireland and Northern Ireland. Three distinct areas are considered: practising offender supervision, experiencing supervision and decision-making in this sphere. The material presented draws on findings from a European-wide research action under the Cooperation in Science and Technology (COST) initiative. The review highlights some of the gaps in knowledge and the need to focus research attention in this area. This need is underlined by the expansion in probation’s role, both North and South. In common with other countries there has been a growth in referrals to probation and in the numbers of people subject to supervision, whether on a community sentence or under post-custodial licence conditions. This review highlights some of the relevant factors including the increased emphasis placed on public protection and attempts to reduce the prison population. The circulation of people through systems and the experiences, processes and decision-making involved are all areas that we argue are worthy of further research attention.

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Many plain text information hiding techniques demand deep semantic processing, and so suffer in reliability. In contrast, syntactic processing is a more mature and reliable technology. Assuming a perfect parser, this paper evaluates a set of automated and reversible syntactic transforms that can hide information in plain text without changing the meaning or style of a document. A large representative collection of newspaper text is fed through a prototype system. In contrast to previous work, the output is subjected to human testing to verify that the text has not been significantly compromised by the information hiding procedure, yielding a success rate of 96% and bandwidth of 0.3 bits per sentence. © 2007 SPIE-IS&T.

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The process of reintegration of offenders after release from prison, or during a community sentence, is a key aim of criminal justice policy. This article provides details from recent research that investigated the barriers and opportunities to employment for sex offenders. The authors describe the barriers that are faced by sex offenders and the anxieties that employers experience when employing sex offenders. The authors conclude that the approach taken by the State is less than reintegrative and serves to increase the barriers and reduce the opportunities for employment for sex offenders.

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‘The enigma of revolts.’ You can almost hear the sigh at the end of this sentence. Foucault is making a statement here, published under the title ‘Useless to Revolt’, on that ‘impulse by which a single individual, a group, a minority, or an entire people says, “I will no longer obey”’. In this short piece, I question the two sides of the enigma – how to label the revolt – is the act of rioting, such as what we witnessed in Ferguson, Missouri in August 2014 ‘proper resistance’ – and, how to understand the ēthos of the rioter. The label of counter-conduct, I argue clarifies the enigma as it allows us, challenges us even, to see the event as political. Counter-conduct provides a new framework for reading spontaneous and improvised forms of political expression. The rioter can then be seen as political and rational, as demonstrating ethical behavior. The ēthos of this behavior is represented as an ethics of the self, a form of parrhēsia where the rioter risks herself and shows courage to tell the truth, the story of her community.

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Socioeconomic status (SES) differences in attitudes towards cancer have been implicated in the differential screening uptake and the timeliness of symptomatic presentation. However, the predominant emphasis of this work has been on cancer fatalism, and many studies focus on specific community subgroups. This study aimed to assess SES differences in positive and negative attitudes towards cancer in UK adults. A population-based sample of UK adults (n=6965, age≥50 years) completed the Awareness and Beliefs about Cancer scale, including six belief items: three positively framed (e.g. 'Cancer can often be cured') and three negatively framed (e.g. 'A cancer diagnosis is a death sentence'). SES was indexed by education. Analyses controlled for sex, ethnicity, marital status, age, self-rated health, and cancer experience. There were few education-level differences for the positive statements, and overall agreement was high (all>90%). In contrast, there were strong differences for negative statements (all Ps<0.001). Among respondents with lower education levels, 57% agreed that 'treatment is worse than cancer', 27% that cancer is 'a death sentence' and 16% 'would not want to know if I have cancer'. Among those with university education, the respective proportions were 34, 17 and 6%. Differences were not explained by cancer experience or health status. In conclusion, positive statements about cancer outcomes attract near-universal agreement. However, this optimistic perspective coexists alongside widespread fears about survival and treatment, especially among less-educated groups. Health education campaigns targeting socioeconomically disadvantaged groups might benefit from a focus on reducing negative attitudes, which is not necessarily achieved by promoting positive attitudes.