Developing a national index of subjective wellbeing: the Australian unity wellbeing index

The Australian Unity Wellbeing Index has been designed as a new barometer of Australians' satisfaction with their lives, and life in Australia. It is based on, and develops, the theoretical model of subjective wellbeing homeostasis. The Index comprises two sub-scales of Personal and National Wellbeing. Data were collected through a nationally representative sample of 2,000 people in April/May 2001.Factor analysis confirmed the integrity of the two sub-scales and, confirming empirical expectation, the average level of life satisfaction was 75.5 percent of the scale maximum score. Group comparisons revealed that all age groups maintained their Personal Index score within the normal range. In addition,people in country areas were more satisfied with their personal lives than city-dwellers,but less satisfied about the national situation, and people who had recently experienced a strong positive event evidenced arise in wellbeing, whereas those who had experienced a strong negative event evidenced wellbeing in the low-normal range. It is argued that these data generally support homeostatic theory. However, an unusual result was that females were more satisfied with their own lives than males. A tentative argument is advanced that this may represent a constitutional difference. It is concluded that the Australian Unity Wellbeing Index has potential as a valid, reliable and sensitive instrument to monitor national wellbeing.

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.

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.

A new interlink decision making index for making multi-criteria decisions

In this paper a mechanism that is the brain child of the authors, has been proposed to overcome the potential manipulation of results as a direct consequence of the applied weightings. It is known as the Interlink Decision Making Index

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.

Australian sweet lupin flour addition reduces the glycaemic index of a white bread breakfast without affecting palatability in healthy human volunteers

The addition of some legume ingredients to bread has been associated with effects on glycaemic, insulinaemic and satiety responses that may be beneficial in controlling type 2 diabetes, cardiovascular disease and obesity. However, the effect of Australian sweet lupin (Lupinus angustifolius) flour (ASLF) is unknown. This investigation examined the effect of adding ASLF to standard white bread on post-meal glycaemic, insulinaemic and satiety responses and palatability in healthy subjects. Using a randomised, single-blind, cross-over design, 11 subjects consumed one breakfast of ASLF bread and two of standard white bread ≥ 7 days apart after fasting overnight. Each breakfast also included margarine, jam, and tea with milk and contained 50g available carbohydrate. On each test day, blood samples were taken after fasting, then several times over 2 hours post-prandially, and analysed for plasma glucose and serum insulin. Subjects rated breakfast palatability and perception of satiety, in the fasting state and over 3 hours post-prandially, after which food intake from an ad libitum buffet and for the rest of the day was recorded. Incremental areas under the curves for glucose, insulin and satiety, glycaemic index, insulinaemic index and satiety index were calculated. ASLF addition to the breakfast reduced its glycaemic index (mean ± SEM; ASLF bread breakfast = 74.0 ± 9.6. Standard white bread breakfast = 100, P=0.022), raised its insulinaemic index (ASLF bread breakfast = 127.7 ± 12.0. Standard white bread breakfast = 100, P=0.046), but did not affect palatability, satiety or food intake. ASLF addition resulted in a palatable breakfast; however, the potential benefits of the lowered glycaemic index may be eclipsed by the increased insulinaemic index.

Body mass index and parent-reported self-estem in elementary school children: evidence for a causal relationship.

OBJECTIVE: To clarify relationships between body mass index (BMI) and self-esteem in young children at a population level. To assess whether low self-esteem precedes or follows development of overweight/obesity in children. DESIGN: Prospective cohort study in elementary schools throughout Victoria, Australia. Child BMI and self-esteem were measured in 1997 and 2000. SUBJECTS: Random sample of 1,157 children who were in the first 4 y of elementary school (aged 5-10 y) at baseline. MEASURES: BMI was calculated from measured height and weight, then transformed to z-scores. Children were classified as nonoverweight, overweight or obese based on international cut-points. Low child self-esteem was defined as a score below the 15th percentile on the self-esteem subscale of the parent-reported Child Health Questionnaire. RESULTS: Overweight/obese children had lower median self-esteem scores than nonoverweight children at both timepoints, especially at follow-up. After accounting for baseline self-esteem, higher baseline BMI z-score predicted poorer self-esteem at follow-up (P=0.008). After accounting for baseline BMI z-score, poorer baseline self-esteem did not predict higher BMI z-score at follow-up. While nonoverweight children with low baseline self-esteem were more likely to develop overweight/obesity (OR=2.1, 95% CI=1.2, 3.6), this accounted for only a small proportion of the incidence of overweight. CONCLUSIONS: Our data show an increasingly strong association between lower self-esteem and higher body mass across the elementary school years. Overweight/obesity precedes low self-esteem in many children, suggesting a causal relationship. This indicates that prevention and management strategies for childhood overweight/obesity need to begin early to minimise the impact on self-esteem.

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.

Reconstruction of the refractive index profile of planar waveguides using ray tracing analysis

We propose a method for refractive index profiling based on measuring coordinates and angles of laser beams passing across the waveguide layer. Calculations are performed by solving an integral equation using new global optimization methods.

Using the Big Mac index for comparing construction costs internationally

This paper explores the use of purchasing power parity (PPP) in the comparison of construction costs between different countries, and whether the development of construction-specific indices will improve reliability.

The approach adopted is to compare the construction cost of a typical five star international hotel per square metre in each of ten major cities using a range of PPP methods and to comment on their variability. In particular, this paper looks at whether an index based on the price of a McDonalds Big Mac3 hamburger is a viable alternative when compared against the mainstream methods. The recent publication of construction-specific indices as part of the Eurostat-OECD joint PPP program is also compared against generic indices and the discrepancy is calculated.

The paper concludes with reflections about which approach is preferable when attempting to assess global construction relativities and what further research is needed.

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.