Results 141 to 150 of about 39,414 (376)
Participation Paradox: Asylum Seekers’ Everyday Participation in Finland
Asylum seekers are separated from the receiving society by the legislation, marginalising societal discourses and institutional practices of the reception system.
Martta Myllylä+2 more
doaj +1 more source
Housing in Place: Housing, Neighbourhood and Resettlement for People from Refugee and Asylum Seeker Backgrounds in Australia. [PDF]
Ziersch A, Due C, Walsh M.
europepmc +1 more source
Building New Clubhouses: Bridging Refugee and Migrant Women into Technology Design and Production by Leveraging Assets [PDF]
While HCI scholars have examined how e-textiles serve to bridge the gender divide, there is little research into refugee, asylum seeker and low socioeconomic migrant women (WRAMs) and e-textiles. This paper presents the results of a series of two community-led participatory design workshops to study the factors that enable these women, who face ...
arxiv
Den attendance by Arctic foxes experiencing 10 years of increasing tourism
Wildlife tourism is a growing industry, and an increasing number of people seek to observe and interact with wild animals in their natural surroundings. In Iceland, the native Arctic fox Vulpes lagopus is widespread and has been under heavy hunting pressure for centuries.
Ester Rut Unnsteinsdóttir+2 more
wiley +1 more source
Aotearoa New Zealand provides differential settlement support to forced migrants, primarily determined by how they receive protection status – as asylum seekers, refugees, or through other visa pathways.
Jay Marlowe+4 more
doaj +1 more source
Refugee and Asylum Seeker Women's Experiences with Healthcare and Social Environment in Malaysia. [PDF]
Rajaratnam S, Azman A.
europepmc +1 more source
An Early Warning Model for Forced Displacement [PDF]
Monitoring tools for anticipatory action are increasingly gaining traction to improve the efficiency and timeliness of humanitarian responses. Whilst predictive models can now forecast conflicts with high accuracy, translating these predictions into potential forced displacement movements remains challenging because it is often unclear which precise ...
arxiv
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha+9 more
wiley +1 more source