Oral language competence in incarcerated young offenders : links with offending severity

Previous research in Australia and overseas has shown that young offenders serving community-based orders are at high-risk for undetected but clinically significant oral language difficulties. However, this phenomenon has received little attention in incarcerated samples, and links with offending severity, mental health, and other markers of early risk have not previously been systemically examined. A cross-sectional examination of 100 young offenders (mean age 19.03 years) completing custodial sentences in Victoria, Australia was conducted. A range of standardized oral language, IQ, mental health, and offending severity measures was employed. Forty-six per cent of participants were classified as language impaired (LI), and these were compared with the non-LI sub-group on background and offending variables. When the sub-group with high scores on a measure of offending severity was compared with those with (relatively) lower offending scores, significant differences on a range of language measures were identified. A range of early risk indicators (such as placement in Out of Home Care) was also examined with respect to language impairment in this high-risk group. Results are discussed with respect to policy and practice pertaining to early intervention for vulnerable children, and implications for service delivery within the justice system. In particular, emphasis is placed on the need to closely examine the oral language skills of children who struggle with the transition to literacy and then display behavioural difficulties in the classroom. Once a young person is engaged with youth justice services, a high index of suspicion should be maintained with respect to their oral language skills; for example, in relation to forensic interviewing and the ability to benefit from verbally mediated interventions.

Diagnosis and management of oral leishmaniasis--case series and literature review

The worldwide prevalence of leishmaniasis is increasing because of ecologic changes and increased medical profession awareness. Furthermore, solitary cases have been recently reported in Western countries. The authors describe the epidemiology, mode of transmission, and diagnosis of leishmaniasis and present 4 oral cases treated with systemic, localized, or combined therapy. The authors suggest that clinicians should maintain a high index of suspicion for atypical, resistant, oral and perioral lesions in individuals with a history of traveling in certain geographic regions. After diagnosis, treatment should be determined jointly by experts from the fields of oral and maxillofacial surgery, oral medicine, and dermatology based on leishmaniasis species and clinical presentation.

Crystallographic analysis of intervariant boundaries in a lath martensite

In the current study, the crystallographic of intervariant boundary planes distribution in the lath martensite has been measured as a function of lattice misorientation and boundary plane orientation using five macroscopic parameters approach. The distribution revealed a relatively high anisotropy with a tendency for the lath interfaces to terminate on (110) planes. This results from the crystallographic constraints associated with the shear transformation rather than a low energy interface configuration. The lath martensite habit plane was determined to be mostly (110) or near (110). The relative populations of boundaries with [111] and [110] misorientations were greater than other high index misorientations, mostly characterised as (110) symmetric tilt and (110) twist boundary types, respectively.

Surface spatial index structure of high-dimensional space

This paper proposes a spatial index structure based on a new space-partitioning method. Previous research proposed various high dimensional index structures. However, when dimensionality becomes high, the effectiveness of the spatial index structure disappears. This problem is called the “curse of dimensionality”. This paper focuses on the fact that the volume of high dimensional space is mostly occupied by its surface and then proposes a new surface index structure. The utility of this new surface spatial index structure is illustrated through a series of experiments.

Forecasting stock index volatility : comparing implied volatility and the intraday high-low price range

The intraday high–low price range offers volatility forecasts similarly efficient to high-quality implied volatility indexes published by the Chicago Board Options Exchange (CBOE) for four stock market indexes: S&P 500, S&P 100, NASDAQ 100, and Dow Jones Industrials. Examination of in-sample and out-of-sample volatility forecasts reveals that neither implied volatility nor intraday high–low range volatility consistently outperforms the other.

Abnormally high optical transmittance of refractive-index modified ZnO / organic hybrid films

Hybrid films consisting of ZnO nanoparticles and organic matrices were fabricated at particle concentration levels of up to 60 wt%. The correlation between the refractive index and optical transmittance in the visible light region was investigated. The refractive index of the hybrid films was modified in a continuous manner in the range from 1.44 to 1.55. The refractive index increased linearly as a function of particle concentration. On the other hand, optical transmittance showed little change above the particle volume fraction of 0.08.

Effect of low and high glycaemic index diets on developing the risk of metabolic syndrome in rats

Several observational studies have shown that the chronic consumption of high glycaemic index diet is associated with an increased risk of developing metabolic syndrome.  This study was performed to identify the direct influences on the lipid profile and the adipose tissue deposition and the subsequent development of the risk of metabolic syndrome in rats by feeding diets of low glycaemic index (LGI) and high glycaemic index (HGI). Fifty rat weanlings (three weeks old) were equally divided into two groups and fed on either low glycaemic index diet based on high amylose, or isocaloric high glycacmic index diet for 12 weeks. Postprandial blood and tissue samples were collected at the end of the 12 weeks of feeding. The total white adipose tissue weights of the HGl fed rats (24.74 ± 0.53 glrat) were significantly higher than the LGl fed rats (15.37 ± 0.36 gh·at). The HO! led rats had higher postprandial leptin concentrations (1.86 ± 0.17 ng/ml) than LGI fed rats (1.34 ± 0.12 ng/ml). The postprandial insulin, and postprandial insulin glucose ratio were higher in the HGI fed rats (7.06 ± 0.90 ng/ml and 0.67 ± 0.01 ng/mlxmM) compared to the LGl fed rats (3.91 ± 0.4 ng/ml and 0.44 ± 0.01 ng/mlxmM). Triglycerides of the l-IGI fed rats showed higher values (I .56 ± 0.10 mM) than the LO! fed rats (l.07 ± 0.08 mM). The results indicated that LGI feeding was beneficial in preventing the conditions enhancing the cardio vascular disease whereas long-term feeding of HGI diet may increase the risk of developing metabolic syndrome in rats.

A grid-based index method for time warping distance

Recently DTW (dynamic time warping) has been recognized as the most robust distance function to measure the similarity between two time series, and this fact has spawned a flurry of research on this topic. Most indexing methods proposed for DTW are based on the R-tree structure. Because of high dimensionality and loose lower bounds for time warping distance, the pruning power of these tree structures are quite weak, resulting in inefficient search. In this paper, we propose a dimensionality reduction method motivated by observations about the inherent character of each time series. A very compact index file is constructed. By scanning the index file, we can get a very small candidate set, so that the number of page access is dramatically reduced. We demonstrate the effectiveness of our approach on real and synthetic datasets.

Mathematical modelling of the refractive index reconstruction through global optimization

We examine a mathematical model of non-destructive testing of planar waveguides, based on numerical solution of a nonlinear integral equation. Such problem is ill-posed, and the method of Tikhonov regularization is applied. To minimize Tikhonov functional, and find the parameters of the waveguide, we use two new optimization methods: the cutting angle method of global optimization, and the discrete gradient method of nonsmooth local optimization. We examine how the noise in the experimental data influences the solution, and how the regularization parameter has to be chosen. We show that even with significant noise in the data, the numerical solution is of high accuracy, and the method can be used to process real experimental da.ta..

DDR: an index method for large time-series datasets

The tree index structure is a traditional method for searching similar data in large datasets. It is based on the presupposition that most sub-trees are pruned in the searching process. As a result, the number of page accesses is reduced. However, time-series datasets generally have a very high dimensionality. Because of the so-called dimensionality curse, the pruning effectiveness is reduced in high dimensionality. Consequently, the tree index structure is not a suitable method for time-series datasets. In this paper, we propose a two-phase (filtering and refinement) method for searching time-series datasets. In the filtering step, a quantizing time-series is used to construct a compact file which is scanned for filtering out irrelevant. A small set of candidates is translated to the second step for refinement. In this step, we introduce an effective index compression method named grid-based datawise dimensionality reduction (DRR) which attempts to preserve the characteristics of the time-series. An experimental comparison with existing techniques demonstrates the utility of our approach.

A new indexing method for high dimensional dataset

Indexing high dimensional datasets has attracted extensive attention from many researchers in the last decade. Since R-tree type of index structures are known as suffering curse of dimensionality problems, Pyramid-tree type of index structures, which are based on the B-tree, have been proposed to break the curse of dimensionality. However, for high dimensional data, the number of pyramids is often insufficient to discriminate data points when the number of dimensions is high. Its effectiveness degrades dramatically with the increase of dimensionality. In this paper, we focus on one particular issue of curse of dimensionality; that is, the surface of a hypercube in a high dimensional space approaches 100% of the total hypercube volume when the number of dimensions approaches infinite. We propose a new indexing method based on the surface of dimensionality. We prove that the Pyramid tree technology is a special case of our method. The results of our experiments demonstrate clear priority of our novel method.

Diminishing and negative welfare returns of economic growth : an index of sustainable economic welfare (ISEW) for Thailand

Thailand has achieved remarkable levels of economic growth over the last three decades. This sustained economic growth has played a major role in reducing absolute poverty levels from nearly one third of the population in 1975 to presently less than 10%, thus increasing the welfare of many Thais. This performance ranks Thailand as one of the world's most successful economies during this period. However, an increasing number of studies have begun to find that at a certain point achieving economic growth stops improving welfare and actually begins to diminish it due to the hidden and traditionally unreported costs of associated with this growth. With one exception, these new studies have focussed on high-income countries. This study will estimate an index of sustainable economic welfare (ISEW) for a developing country, Thailand, over a 25-year period, 1975–1999. This paper concludes that even low–middle income countries are beginning to approach the point in which economic growth produces both diminishing and, at times, negative welfare returns as the costs of achieving economic growth begin to outweigh the benefits. These results are important for policy makers and highlight the importance of implementing alternative welfare enhancing interventions that must be considered in place of simply achieving economic growth. The emphasis of this paper is not on the methodology of estimating the ISEW for Thailand, but rather on the policy implications for developing countries of diminishing and negative welfare returns brought about through the achievement of economic growth.

Widening development prescriptions: policy implications of an index of sustainable economic welfare (SEW) for Thailand

Over the past three decades, Thailand has recorded consistently high levels of economic growth, making it one of the most successful economies in the world during this period. However, economic growth has associated costs that can also reduce social welfare. This study will estimate an Index of Sustainable Economic Welfare (ISEW) for Thailand over a twenty-five year period, 1975–1999. This paper concludes that even low-middle income countries are beginning to approach the point at which economic growth produces both diminishing and, at times, negative welfare returns as the costs of achieving growth begin to outweigh the associated benefits. These results are important for policy makers and highlight the importance of widening policy prescriptions in order to increase social welfare. However, the policy guidelines that are suggested must be critically accepted before being adopted due to possible weaknesses of the ISEW approach.

Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies

A WHO expert consultation addressed the debate about interpretation of recommended body-mass index (BMI) cut-off points for determining overweight and obesity in Asian populations, and considered whether population-specific cut-off points for BMI are necessary. They reviewed scientific evidence that suggests that Asian populations have different associations between BMI, percentage of body fat, and health risks than do European populations. The consultation concluded that the proportion of Asian people with a high risk of type 2 diabetes and cardiovascular disease is substantial at BMIs lower than the existing WHO cut-off point for overweight (25 kg/m2). However, available data do not necessarily indicate a clear BMI cut-off point for all Asians for overweight or obesity. The cut-off point for observed risk varies from 22kg/m2 to 25kg/m2 in different Asian populations; for high risk it varies from 26kg/m2 to 31kg/m2. No attempt was made, therefore, to redefine cut-off points for each population separately. The consultation also agreed that the WHO BMI cut-off points should be retained as international classifications. The consultation identified further potential public health action points (23·0, 27·5, 32·5, and 37·5 kg/m2) along the continuum of BMI, and proposed methods by which countries could make decisions about the definitions of increased risk for their population.