Cooperative artificial propagation programs for salmon and steelhead, 1995-1996

Fifteen cooperative fish rearing and planting programs for salmon and steelhead were active from July 1, 1995 through June 30, 1996. For all programs, 134,213 steelhead trout,(Oncorhynchus mykiss), 7,742,577 chinook salmon,(~ tshawytscha),and 25,075 coho salmon(~ kisutch) were planted. (PDF contains 26 pages.

On the Development of Early Algebraic Thinking

This article deals with the question of the development of algebraic thinking in young students. In contrast to mental approaches to cognition, we argue that thinking is made up of material and ideational components such as (inner and outer) speech, forms of sensuous imagination, gestures, tactility, and actual actions with signs and cultural artifacts. Drawing on data from a longitudinal classroom-based research program where 8-year old students were followed as they moved from Grade 2 to Grade 3 to Grade 4, our developmental research question is investigated in terms of the manner in which new relationships between embodiment, perception, and symbol-use emerge and evolve as students engage in patterning activities

Estimating Ratios of Normalizing Constants Using Linked Importance Sampling

Ratios of normalizing constants for two distributions are needed in both Bayesian statistics, where they are used to compare models, and in statistical physics, where they correspond to differences in free energy. Two approaches have long been used to estimate ratios of normalizing constants. The `simple importance sampling' (SIS) or `free energy perturbation' method uses a sample drawn from just one of the two distributions. The `bridge sampling' or `acceptance ratio' estimate can be viewed as the ratio of two SIS estimates involving a bridge distribution. For both methods, difficult problems must be handled by introducing a sequence of intermediate distributions linking the two distributions of interest, with the final ratio of normalizing constants being estimated by the product of estimates of ratios for adjacent distributions in this sequence. Recently, work by Jarzynski, and independently by Neal, has shown how one can view such a product of estimates, each based on simple importance sampling using a single point, as an SIS estimate on an extended state space. This `Annealed Importance Sampling' (AIS) method produces an exactly unbiased estimate for the ratio of normalizing constants even when the Markov transitions used do not reach equilibrium. In this paper, I show how a corresponding `Linked Importance Sampling' (LIS) method can be constructed in which the estimates for individual ratios are similar to bridge sampling estimates. I show empirically that for some problems, LIS estimates are much more accurate than AIS estimates found using the same computation time, although for other problems the two methods have similar performance. Linked sampling methods similar to LIS are useful for other purposes as well

Women's decision making process about hormone replacement therapy in the New Zealand context : a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University

Some Appendix in MaoriThe transitional time of menopause has differential meanings for mid-aged women around the world. The medicalisation of menopause has resulted in the increasing promotion of hormone replacement therapy (HRT) both to alleviate distressing symptoms and prevent future illnesses. It is against a background of constantly changing information that women have to make a complex decision about the benefits and risks of this therapy for short and long term use. The theory of planned behaviour (TPB) (Ajzen, 1985) has been successful in predicting a range of health behaviours but few studies have been conducted to assess its predictive validity on intention to take HRT and to date there has been no assessment of this model in the New Zealand context. The present study was undertaken to discover the factors that influenced decision making about HRT use in New Zealand and to predict women's intention to take it at menopause by applying the TPB. A cross sectional postal survey of 140 mid-aged women randomly selected from the General and Māori electoral rolls measured attitudes, subjective norms and perceived behavioural control as well as moral norms and similar prior behaviour. Results of hierarchical multiple regression analysis supported the utility of the TPB to predict intention to use HRT and also showed that moral norms made a significant independent contribution to the prediction of intention to use HRT. The most important factors that influence New Zealand women's intention to use HRT are both the views of people who are important to them and their own attitudes to this treatment. Having a personal sense of control over following the HRT regime and believing it is right to do so and not a sign of weakness are also important considerations. Taking the contraceptive pill in the past has no influence on the decision making process about future HRT use

Representing numeric data in 32 bits while preserving 64-bit precision

Data files often consist of numbers having only a few significant decimal digits, whose information content would allow storage in only 32 bits. However, we may require that arithmetic operations involving these numbers be done with 64-bit floating-point precision, which precludes simply representing the data as 32-bit floating-point values. Decimal floating point gives a compact and exact representation, but requires conversion with a slow division operation before it can be used. Here, I show that interesting subsets of 64-bit floating-point values can be compactly and exactly represented by the 32 bits consisting of the sign, exponent, and high-order part of the mantissa, with the lower-order 32 bits of the mantissa filled in by table lookup, indexed by bits from the part of the mantissa retained, and possibly from the exponent. For example, decimal data with 4 or fewer digits to the left of the decimal point and 2 or fewer digits to the right of the decimal point can be represented in this way using the lower-order 5 bits of the retained part of the mantissa as the index. Data consisting of 6 decimal digits with the decimal point in any of the 7 positions before or after one of the digits can also be represented this way, and decoded using 19 bits from the mantissa and exponent as the index. Encoding with such a scheme is a simple copy of half the 64-bit value, followed if necessary by verification that the value can be represented, by checking that it decodes correctly. Decoding requires only extraction of index bits and a table lookup. Lookup in a small table will usually reference cache; even with larger tables, decoding is still faster than conversion from decimal floating point with a division operation. I discuss how such schemes perform on recent computer systems, and how they might be used to automatically compress large arrays in interpretive languages such as R