title: Blind testing of shoreline evolution models.

authors: Montaño, Jennifer

abstract: Beaches around the world continuously adjust to daily and seasonal changes in wave and tide conditions, which are themselves changing over longer time-scales. Different approaches to predict multi-year shoreline evolution have been implemented; however, robust and reliable predictions of shoreline evolution are still problematic even in short-term scenarios (shorter than decadal). Here we show results of a modelling competition, where 19 numerical models (a mix of established shoreline models and machine learning techniques) were tested using data collected for Tairua beach, New Zealand with 18 years of daily averaged alongshore shoreline position and beach rotation (orientation) data obtained from a camera system. In general, traditional shoreline models and machine learning techniques were able to reproduce shoreline changes during the calibration period (1999-2014) for normal conditions but some of the model struggled to predict extreme and fast oscillations. During the forecast period (unseen data, 2014-2017), both approaches showed a decrease in models' capability to predict the shoreline position. This was more evident for some of the machine learning algorithms. A model ensemble performed better than individual models and enables assessment of uncertainties in model architecture. Research-coordinated approaches (e.g., modelling competitions) can fuel advances in predictive capabilities and provide a forum for the discussion about the advantages/disadvantages of available models.

text: Blind testing of shoreline evolution models. Beaches around the world continuously adjust to daily and seasonal changes in wave and tide conditions, which are themselves changing over longer time-scales. Different approaches to predict multi-year shoreline evolution have been implemented; however, robust and reliable predictions of shoreline evolution are still problematic even in short-term scenarios (shorter than decadal). Here we show results of a modelling competition, where 19 numerical models (a mix of established shoreline models and machine learning techniques) were tested using data collected for Tairua beach, New Zealand with 18 years of daily averaged alongshore shoreline position and beach rotation (orientation) data obtained from a camera system. In general, traditional shoreline models and machine learning techniques were able to reproduce shoreline changes during the calibration period (1999-2014) for normal conditions but some of the model struggled to predict extreme and fast oscillations. During the forecast period (unseen data, 2014-2017), both approaches showed a decrease in models' capability to predict the shoreline position. This was more evident for some of the machine learning algorithms. A model ensemble performed better than individual models and enables assessment of uncertainties in model architecture. Research-coordinated approaches (e.g., modelling competitions) can fuel advances in predictive capabilities and provide a forum for the discussion about the advantages/disadvantages of available models.

year: 2020

title: Picturebooks in teacher education: Eight teacher educators share their practice

authors: Daly, Nicola

abstract: There is a great deal of contemporary research demonstrating the effective use of picturebooks in the classroom; however, there are few studies recording perceptions and use of picturebooks in Initial Teacher Education [ITE]. This study explores the reported use of picturebooks within a New Zealand university-based ITE degree programme. The data discussed in this article was collected using semi structured interviews with eight teacher educators from different learning areas of the New Zealand Curriculum. In order to unpack the power of using picturebooks as part of teacher preparation a discussion of why and how picturebooks are used by teacher educators is presented. These themes include modeling pedagogy for future teachers; dealing with negative attitudes to certain curriculum areas; plugging gaps in pre-service teacher knowledge among others.

text: Picturebooks in teacher education: Eight teacher educators share their practice There is a great deal of contemporary research demonstrating the effective use of picturebooks in the classroom; however, there are few studies recording perceptions and use of picturebooks in Initial Teacher Education [ITE]. This study explores the reported use of picturebooks within a New Zealand university-based ITE degree programme. The data discussed in this article was collected using semi structured interviews with eight teacher educators from different learning areas of the New Zealand Curriculum. In order to unpack the power of using picturebooks as part of teacher preparation a discussion of why and how picturebooks are used by teacher educators is presented. These themes include modeling pedagogy for future teachers; dealing with negative attitudes to certain curriculum areas; plugging gaps in pre-service teacher knowledge among others.

year: 2015

title: Exploring inequity in access to medications for Type 2 Diabetes in primary care in the Waikato region: Final report

authors: Lawrenson, Ross

abstract: Type 2 diabetes (T2D) is a growing health issue in New Zealand (NZ) that disproportionately affects twice as many Māori as non-Māori and an increasing number of younger people. T2D is associated with a range of microvascular and macrovascular complications, chronic kidney disease and cardiovascular disease (CVD), the latter being the greatest cause of morbidity and mortality in this patient group. However, complications are reduced in patients that have improved glycaemic control. To achieve optimal outcomes and reduce the chance of diabetes-related complications, patients should aim to have their glycated haemoglobin (HbA1c) measurement less than 53 mmol/mol if possible.

Diabetes is primarily managed in primary care, and a number of recent publications suggest that there is considerable inequity in the management of diabetes in New Zealand, particularly for Māori. In an earlier piece of work we have shown that Maori are significantly less likely than non-Maori to be prescribed metformin, but that once prescribed it they are equally likely to have the medication dispensed. This suggests that there may be issues that can be addressed within primary care that are influencing the use of diabetes medications.
Thus, the aim of this small piece of work was to characterise diabetes medication use in a Waikato primary care population, and to report on medication adherence and association with HbA1c levels.

text: Exploring inequity in access to medications for Type 2 Diabetes in primary care in the Waikato region: Final report Type 2 diabetes (T2D) is a growing health issue in New Zealand (NZ) that disproportionately affects twice as many Māori as non-Māori and an increasing number of younger people. T2D is associated with a range of microvascular and macrovascular complications, chronic kidney disease and cardiovascular disease (CVD), the latter being the greatest cause of morbidity and mortality in this patient group. However, complications are reduced in patients that have improved glycaemic control. To achieve optimal outcomes and reduce the chance of diabetes-related complications, patients should aim to have their glycated haemoglobin (HbA1c) measurement less than 53 mmol/mol if possible.

Diabetes is primarily managed in primary care, and a number of recent publications suggest that there is considerable inequity in the management of diabetes in New Zealand, particularly for Māori. In an earlier piece of work we have shown that Maori are significantly less likely than non-Maori to be prescribed metformin, but that once prescribed it they are equally likely to have the medication dispensed. This suggests that there may be issues that can be addressed within primary care that are influencing the use of diabetes medications.
Thus, the aim of this small piece of work was to characterise diabetes medication use in a Waikato primary care population, and to report on medication adherence and association with HbA1c levels.

year: 2021-08-17