The influence of diet on the distribution of nitrogen isotopes in animals was investigated by analyzing animals grown in the laboratory on diets of constant nitrogen isotopic composition. 
The isotopic composition of the nitrogen in an animal reflects the nitrogen isotopic composition of its diet. The δ^(15)N values of the whole bodies of animals are usually more positive than those of their diets. Different individuals of a species raised on the same diet can have significantly different δ^(15)N values. The variability of the relationship between the δ^(15)N values of animals and their diets is greater for different species raised on the same diet than for the same species raised on different diets. Different tissues of mice are also enriched in ^(15)N relative to the diet, with the difference between the δ^(15)N values of a tissue and the diet depending on both the kind of tissue and the diet involved. The δ^(15)N values of collagen and chitin, biochemical components that are often preserved in fossil animal remains, are also related to the δ^(15)N value of the diet. 
The dependence of the δ^(15)N values of whole animals and their tissues and biochemical components on the δ^(15)N value of diet indicates that the isotopic composition of animal nitrogen can be used to obtain information about an animal's diet if its potential food sources had different δ^(15)N values. The nitrogen isotopic method of dietary analysis probably can be used to estimate the relative use of legumes vs non-legumes or of aquatic vs terrestrial organisms as food sources for extant and fossil animals. However, the method probably will not be applicable in those modern ecosystems in which the use of chemical fertilizers has influenced the distribution of nitrogen isotopes in food sources. 
The isotopic method of dietary analysis was used to reconstruct changes in the diet of the human population that occupied the Tehuacan Valley of Mexico over a 7000 yr span. Variations in the δ^(15)C and δ^(15)N values of bone collagen suggest that C_4 and/or CAM plants (presumably mostly corn) and legumes (presumably mostly beans) were introduced into the diet much earlier than suggested by conventional archaeological analysis.

Influence of Diet On the Distribtion of Nitrogen Isotopes in Animals

An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.

The Self-Organizing Map

This new edition of Ann Bowling's well-known and highly respected text has been thoroughly revised and updated to reflect key methodological developments in health research. It is a comprehensive, easy to read, guide to the range of methods used to study and evaluate health and health services. It describes the concepts and methods used by the main disciplines involved in health research, including: demography, epidemiology, health economics, psychology and sociology.The research methods described cover the assessment of health needs, morbidity and mortality trends and rates, costing health services, sampling for survey research, cross-sectional and longitudinal survey design, experimental methods and techniques of group assignment, questionnaire design, interviewing techniques, coding and analysis of quantitative data, methods and analysis of qualitative observational studies, and types of unstructured interviewing. With new material on topics such as cluster randomization, utility analyses, patients' preferences, and perception of risk, the text is aimed at students and researchers of health and health services. It has also been designed for health professionals and policy makers who have responsibility for applying research findings in practice, and who need to know how to judge the value of that research.

Research Methods in Health. Investigating health and health services

The current evidence suggests that many diet and exercise interventions to prevent obesity in children are not effective in preventing weight gain, but can be effective in promoting a healthy diet and increased physical activity levels.Being very overweight (obese) can cause health, psychological and social problems for children. Children who are obese are more likely to have weight and health problems as adults. Programmes designed to prevent obesity focus on modifying one or more of the factors considered to promote obesity.This review included 22 studies that tested a variety of intervention programmes, which involved increased physical activity and dietary changes, singly or in combination. Participants were under 18 and living in Asia, South America, Europe or North America. There is not enough evidence from trials to prove that any one particular programme can prevent obesity in children, although comprehensive strategies to address dietary and physical activity change, together with psycho-social support and environmental change may help. There was a trend for newer interventions to involve their respective communities and to include evaluations.Future research might usefully assess changes made on behalf of entire populations, such as improvements in the types of foods available at schools and in the availability of safe places to run and play, and should assess health effects and costs over several years.The programmes in this review used different strategies to prevent obesity so direct comparisons were difficult. Also, the duration of the studies ranged from 12 weeks to three years, but most lasted less than a year.

/pdf/interventions-for-preventing-obesity-in-children-4arhbcud58.pdf

Interventions for preventing obesity in children

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Food, Nutrition, Physical Activity, and the Prevention of Cancer : a Global Perspective : 食物、栄養、身体活動とがんの予防 : 世界的展望(後篇)

This paper brings together a set of commonsense recommendations relating to the delivery of software quality, with some emphasis on the adoption of realistic perspectives for software process/product stakeholders in the area of process improvement. The use of software measurement is regarded as an essential component for a quality development program, in terms of prediction, control, and adaptation as well as the communication necessary for stakeholders’ realistic perspectives. Some recipes for failure are briefly considered so as to enable some degree of contrast between what is currently perceived to be good and bad practices. This is followed by an evaluation of the quality-at-all-costs model, including a brief pragmatic investigation of quality in other, more mature, disciplines. Several programs that claim to assist in the pursuit of quality are examined, with some suggestions made as to how they may best be used in practice.

https://ourarchive.otago.ac.nz/bitstream/handle/10523/990/dp1996-19-online.pdf;sequence=3

Software Process Engineering for Measurement-Driven Software Quality Programs - Realism and Idealism

Use of accelerometry to measure physical activity in 6 month old infants

A refreshing poison: one-quarter of young New Zealand smokers choose menthol.

There is a growing body of evidence to suggest that significant benefits may be gained from augmenting current approaches to software development effort estimation, and indeed other project management activities, with models developed using fuzzy logic and other soft computing methods. The tasks undertaken by project managers early in a development process would appear to be particularly amenable to such a strategy, particularly if fuzzy logic models are used in a complementary manner with other algorithmic approaches, thus providing a range of predictions as opposed to a single point value. As well as providing a more intuitively acceptable set of estimates, this would help to reduce or remove the unwarranted level of certainty associated with a point estimate. Furthermore, such an approach would enable organizations to ‘store’ their project management knowledge, making them less susceptible to employee resignations and the like. If fuzzy logic modeling is to be implemented in industry, however, managers must first believe it to be a realistic and workable option. This issue is addressed here by considering two related questions: one, what expectations do project managers have in relation to effort estimation? and two, what is their opinion of the methods that might be useful in this regard? This is followed by a discussion of the results of two surveys of project managers aimed at deriving membership functions using polling methods, the first using an interval declaration approach and the second using votes on fixed points. It is concluded that there is indeed support in the software engineering practitioner community for the use of methods based on the principles of fuzzy logic modeling.

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The viability of fuzzy logic modeling in software development effort estimation: opinions and expectations of Project Managers

The almost exclusive use of regression analysis to derive predictive equations for software development metrics found in papers published before 1990 has recently been complemented by increasing numbers of studies using non-traditional methods, such as neural networks, fuzzy logic models, case-based reasoning systems, rule-based systems, and regression trees. There has also been an increasing level of sophistication in the regression-based techniques used, including robust regression methods, factor analysis, resampling methods, and more effective and efficient validation procedures. This paper examines the implications of using these alternative methods and provides some recommendations as to when they may be appropriate. A comparison between standard linear regression, robust regression, and the alternative techniques is also made in terms of their modelling capabilities with specific reference to software metrics. 1 Address correspondence to: Dr S. MacDonell, Lecturer, Department of Information Science, University of Otago, P.O. Box 56, Dunedin, New Zealand. Fax: +64 3 479 8311 Email: stevemac@commerce.otago.ac.nz

/pdf/a-comparison-of-alternatives-to-regression-analysis-as-model-wreb06zxyo.pdf

Andrew R. Gray

Papers

Software Process Engineering for Measurement-Driven Software Quality Programs - Realism and Idealism

Use of accelerometry to measure physical activity in 6 month old infants

A refreshing poison: one-quarter of young New Zealand smokers choose menthol.

The viability of fuzzy logic modeling in software development effort estimation: opinions and expectations of Project Managers

A comparison of alternatives to regression analysis as model building techniques to develop predictive equations for software metrics