Frequent Cannabis Use Among 14/15 Year Olds in Northern Ireland

The relatively high levels of cannabis use among young people is a cause of concern because of the positive relationship between its early onset use, antisocial behaviours and associated lifestyle. Amongst a survey of 3919 young people at school year 11 in Northern Ireland (aged 14/15 years) 142 reported daily cannabis use. These young people also reported particularly high levels of legal and illegal drug use and accounted for a high proportion of use of hard drugs such as cocaine and heroin for the full school cohort. Daily cannabis users also reported high levels of antisocial behaviour and disaffection with school. The findings perhaps raise questions about the existence of a potentially ‘hidden’ high risk school based group of young people during adolescence who require specific targeted prevention strategies.

Neuro developmental status at 1 year predicts neuropsychiatric outcome at 14-15 years of age in very preterm infants

Background: Neurodevelopmental and behavioural problems have been repeatedly reported in very preterm. survivors, often showing themselves later in childhood as poor school performance. Early identification of problems would mean that appropriate remedial therapy can be implemented. We have previously shown that neurodevelopmental status at 1 year was predictive of outcome at 8 years in a cohort of preterm. infants. The aim of this paper was to see if neurodevelopmental outcome in adolescence could be predicted by assessment by 1 year in the same cohort of pretem infants. Study design: Prospective cohort study. Subjects: 150 adolescents, born before 33 weeks gestation. Outcome measures: Neurological examination, developmental quotient, vision and hearing by 1 year. At 14-15 years, neurological examination, school performance questionnaire, Schonnell test of reading age, a premorbid adjustment score, Rutter behavioural score and for those born from 1981, cognitive tests (WISC-R). Results: A highly significant relationship existed between neurological status by 1 year and the need for extra educational provision, overall neurodevelopmental status, cognitive function in those that had their IQs measured and premorbid adjustment score of prepsychotic symptoms in adolescence. However, status at 1 year was not predictive of adolescent reading age or behavioural score. Conclusions: Neurodevelopmental assessment at 1 year ispredictive of school performance and outcome in the adolescent period. (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.

School exclusion, drug use and delinquency in adolescence

Fifty-one young people aged 14�15 years considered to be at a high-risk of substance abuse and exhibiting antisocial behavior, primarily because they longer attended mainstream school, participated in this research by completing a questionnaire to measure drug use and delinquent behaviour. The findings suggest that many of them may have already developed a high propensity to drug abuse and antisocial behaviour compared with their peers in mainstream education. As they were all excluded from school, they were not accessing school based prevention programmes delivered to their contemporaries at school suggesting that additional and specialized resources are required to fully meet their needs.

Novel biomimetic and bioactive silicones

The features and potential applications of a novel silicone for constructing or coating medical devices are described. The platform technology that has been developed reportedly overcomes inherent problems with existing silicone devices and allows drug delivery from devices employing the material.

Substance Use among Young People Living in Residential State Care

Existing empirical evidence on substance use among young people living in residential state care during adolescence is comparatively limited. This paper reports on substance use trends of young people living in residential state care during three annual data-sweeps when aged 14, 15 and 16 years. A repeated cross-sectional research design was utilised in the research. The findings suggest some similarities for lifetime prevalence rates for tobacco and alcohol use for those living in residential state care with a group of same-age young people not living in residential state care who participated in the research. However, solvent abuse and cannabis use was higher among those living in care. More frequent substance use was reported by the residential care sample for all substances at each stage of the study. These findings suggest that young people living in state care continue to merit higher levels of vigilance from researchers and policy-makers in order to fully understand this behaviour and develop appropriate prevention initiatives to meet their needs regarding potential drug problems.

Robust fuzzy Gustafson-Kessel clustering for nonlinear system identification

This paper deals with Takagi-Sugeno (TS) fuzzy model identification of nonlinear systems using fuzzy clustering. In particular, an extended fuzzy Gustafson-Kessel (EGK) clustering algorithm, using robust competitive agglomeration (RCA), is developed for automatically constructing a TS fuzzy model from system input-output data. The EGK algorithm can automatically determine the 'optimal' number of clusters from the training data set. It is shown that the EGK approach is relatively insensitive to initialization and is less susceptible to local minima, a benefit derived from its agglomerate property. This issue is often overlooked in the current literature on nonlinear identification using conventional fuzzy clustering. Furthermore, the robust statistical concepts underlying the EGK algorithm help to alleviate the difficulty of cluster identification in the construction of a TS fuzzy model from noisy training data. A new hybrid identification strategy is then formulated, which combines the EGK algorithm with a locally weighted, least-squares method for the estimation of local sub-model parameters. The efficacy of this new approach is demonstrated through function approximation examples and also by application to the identification of an automatic voltage regulation (AVR) loop for a simulated 3 kVA laboratory micro-machine system.

Observations of the initial 3D flow from a ship's propeller

The present paper was aimed at presenting the time-averaged velocity and turbulence intensity at the initial plane from a ship’s propeller. The flow characteristics of a ship’s propeller jet are of particular interest for the researchers investigating the jet induced seabed damage as documented in the previous studies. Laser Doppler Anemometry (LDA) measurements show that the axial component of velocity is the main contributor to the velocity magnitude at the initial plane of a ship’s propeller jet. The tangential component contributes to the rotation while the radial component which contributes to the diffusion, are the second and third largest contributors to the velocity magnitude. The maximum tangential and radial velocity components at the initial plane are approximately 82% and 14% of the maximum axial velocity component, respectively. The axial velocity distribution at the initial plane shows two peaked ridges with a low velocity core at the rotation axis. The turbulence intensity distribution shows a three-peaked profile at the initial plane.

Neuropeptide-like protein diversity in phylum Nematoda

This study reports the identification of nematode neuropeptide-like protein (nlp) sequelogs from the GenBank expressed sequence tag (EST) database, using BLAST (Basic Local Alignment Search Tool) search methodology. Search strings derived from peptides encoded by the 45 known Caenorhabatitis elegans nlp genes were used to identify more than 1000 ESTs encoding a total of 26 multi-species nlp sequelogs. The remaining 18 nlps (nlp-4, -16, -24 through -36, -39, -41 and -45) were identified only in C elegans, while the sole EST representative of nlp-23 was from Caenorhabditis remanei. Several ESTs encoding putative antibacterial peptides similar to those encoded by the C elegans genes nlp-24-33 were observed in several parasite species. A novel gene (nlp-46) was identified, encoding a single, amidated dodecapeptide (NIA[I/T]GR[G/A]DG[F/L]RPG) in eight species. Secretory signal peptides were identified in at least one species representing each nlp sequelog, confirming that all 46 nematode nlp genes encode secretory peptides. A random sub-set of C elegans NLPs was tested physiologically in Ascaris suum ovijector and body wall muscle bioassays. None of the peptides tested were able to modulate ovijector activity, while only three displayed measurable myoactivity on somatic body wall muscle. AFAAGWNRamide (from nlp-23) and AVNPFLDSIamide (nlp-3) both produced a relaxation of body wall muscle, while AIPFNGGMYamide (nlp-10) induced a transient contraction. Numerical analyses of nip-encoding ESTs demonstrate that nlp-3, -13, -14, -15 and -18 are amongst the most highly represented transcripts in the dataset. Using available bioinformatics resources, this study delineates the nlp complement of phylum Nematoda, providing a rich source of neuropeptide ligands for deorphanisation of nematode neuropeptide receptors. (C) 2008 Australian Society for Parasitology Inc. Published by Elsevier Ltd. All rights reserved.