Results 101 to 110 of about 34,576 (308)
Australia's first National Climate Risk Assessment is built on the latest science as well as learnings from other countries’ national risk assessments. The goal of the risk assessment was to identify the priority risks of climate change to Australia as a
Brenda B. Lin +9 more
doaj +1 more source
This paper shows that when applying machine learning to digital zoom for photography, it is beneficial to use real, RAW sensor data for training. Existing learning-based super-resolution methods do not use real sensor data, instead operating on RGB images.
Xuaner Zhang +3 more
openaire +2 more sources
Abstract Background and aims The heart is a metabolic organ rich in mitochondria. The failing heart reprograms to utilize different energy substrates, which increase its oxygen consumption. These adaptive changes contribute to increased oxidative stress.
Qinghong Li +12 more
wiley +1 more source
From Ad Hoc to Function: Vancouver Foundation's Journey to Learning Through Evaluation
ABSTRACT This case narrative details the Vancouver Foundation's (VF) journey from ad‐hoc reporting to a core internal learning and evaluation function. Catalyzed by the pandemic and motivated by the increasing need, VF established the Engagement Department to house evaluation independently.
Vincent Tom
wiley +1 more source
Open and Distance Learning in French-Speaking Sub-Saharan Africa: A Literature Review
This article is a literature review on open distance learnings (ODL) in Francophone Sub-Saharan Africa (FSSA). The state of research on this question highlights many topics, such as the supporting reasons for the creation of ODL systems and their ...
Emmanuel Béché
doaj +1 more source
ABSTRACT In this article we share our story of using a developmental evaluation approach over seven years to facilitate two‐way learning between Yapa (Warlpiri language for Indigenous people from the Australian Western Desert region) and Kardiya (Warlpiri language for non‐Indigenous people).
Samantha Jayne Togni +9 more
wiley +1 more source
Learning with Opponent-Learning Awareness
Multi-agent settings are quickly gathering importance in machine learning. This includes a plethora of recent work on deep multi-agent reinforcement learning, but also can be extended to hierarchical reinforcement learning, generative adversarial networks and decentralised optimisation.
Foerster, J +5 more
openaire +4 more sources
The Ian Potter Foundation Grantee Learnings: Health [PDF]
This document is intended for future applicants and grantees in the Health program area. It contains thesummarised learnings of all Health grantees over the past seven years.The information documented here has been taken from the final reports of Health ...
core
ABSTRACT Economic policy can be a powerful instrument to influence food environments and support improved diets and health. Over the past 20 years, the use of fiscal policy to improve diets has increased dramatically. This paper reviews the trajectory of policy change, and explores the ways in which research has informed three different dimensions of ...
Anne Marie Thow
wiley +1 more source
Forme de pratique scolaire du football en EPS, débats d’idées et apprentissages en milieu difficile
The aim of this article is to analyze the impact of an innovative type of school practice for soccer in Physical Education, inspired by the rules of the futsal game, on the learnings of pupils from a difficult background.
Guillaume Dietsch +2 more
doaj +1 more source

