title: Poem: Post Cyclone Gabrielle

authors: Burns, Edgar

subjects: Cyclone Gabrielle

abstract: "Post Cyclone Gabrielle" is a gripping poem that delves into the aftermath of a devastating natural disaster caused by Cyclone Gabrielle, which struck the east coast of New Zealand in February 2023. With vivid imagery and emotive language, the poet captures the raw emotions and profound impact of this calamitous storm on both the landscape and the lives of the affected communities.

text: Poem: Post Cyclone Gabrielle "Post Cyclone Gabrielle" is a gripping poem that delves into the aftermath of a devastating natural disaster caused by Cyclone Gabrielle, which struck the east coast of New Zealand in February 2023. With vivid imagery and emotive language, the poet captures the raw emotions and profound impact of this calamitous storm on both the landscape and the lives of the affected communities.

year: 2023-06-26

title: Speeding up and boosting diverse density learning

authors: Foulds, James Richard

subjects: computer science

abstract: In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-instance classification based on a point-and-scaling concept by searching for the point in instance space with the highest diverse density. This is a computationally expensive process, and we describe several heuristics designed to improve runtime. Our results show that simple variants of existing algorithms can be used to find diverse density maxima more efficiently. We also show how significant increases in accuracy can be obtained by applying a boosting algorithm with a modified version of the diverse density algorithm as the weak learner.

text: Speeding up and boosting diverse density learning In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-instance classification based on a point-and-scaling concept by searching for the point in instance space with the highest diverse density. This is a computationally expensive process, and we describe several heuristics designed to improve runtime. Our results show that simple variants of existing algorithms can be used to find diverse density maxima more efficiently. We also show how significant increases in accuracy can be obtained by applying a boosting algorithm with a modified version of the diverse density algorithm as the weak learner.

year: 2010

title: Critical reflection for researcher–community partnership effectiveness: The He Pikinga Waiora process evaluation tool guiding the implementation of chronic condition interventions in Indigenous communities

authors: Rarere, Moana

subjects: community health planning

abstract: Critically reflecting on researcher–community partnerships is a key component in implementing chronic condition interventions in Indigenous communities. This paper draws on the results and learnings from a process evaluation that measures how well two research–community partnerships have followed the He Pikinga Waiora (HPW) Implementation Framework while co-designing chronic condition interventions in primary care. The HPW framework is centred on Indigenous self-determination and knowledge surrounded by community engagement, cultural centredness, systems thinking and integrated knowledge translation. The evaluation included in-depth interviews and online surveys with 10 team members. The findings demonstrate that the HPW framework was followed well, with strengths particularly in community engagement and relationship building. Areas for improvement included systems thinking and integrated knowledge translation to support sustainability of the interventions. The need for partnerships to use process evaluation results to support critical reflection is asserted, which helps build strong trust and synergy, power sharing and effective and sustainable implementation practices. It is concluded that the HPW framework is well suited to evaluating implementation of health interventions in primary care as it assists in the facilitation of better collaboration between researchers and Indigenous communities, and encourages the implementation team to reflect on power and privilege.

text: Critical reflection for researcher–community partnership effectiveness: The He Pikinga Waiora process evaluation tool guiding the implementation of chronic condition interventions in Indigenous communities Critically reflecting on researcher–community partnerships is a key component in implementing chronic condition interventions in Indigenous communities. This paper draws on the results and learnings from a process evaluation that measures how well two research–community partnerships have followed the He Pikinga Waiora (HPW) Implementation Framework while co-designing chronic condition interventions in primary care. The HPW framework is centred on Indigenous self-determination and knowledge surrounded by community engagement, cultural centredness, systems thinking and integrated knowledge translation. The evaluation included in-depth interviews and online surveys with 10 team members. The findings demonstrate that the HPW framework was followed well, with strengths particularly in community engagement and relationship building. Areas for improvement included systems thinking and integrated knowledge translation to support sustainability of the interventions. The need for partnerships to use process evaluation results to support critical reflection is asserted, which helps build strong trust and synergy, power sharing and effective and sustainable implementation practices. It is concluded that the HPW framework is well suited to evaluating implementation of health interventions in primary care as it assists in the facilitation of better collaboration between researchers and Indigenous communities, and encourages the implementation team to reflect on power and privilege.

year: 2019