Results 121 to 130 of about 84,057 (267)

Socio-Ecological Factors Influencing Maternal and Child Health Outcomes During Floods in South Punjab Pakistan 2025: A Mixed-Methods Approach. [PDF]

Health Expect
Hassan MM, Alnssyan BS, Ullah MA, Ameeq M, Kargbo A.   +4 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Floods and flood plains [PDF]

Open-File Report, 1993
openaire   +1 more source

How cold is too cold? A theoretical analysis of the optimal trigger for index insurance for frost damage to crops

American Journal of Agricultural Economics, EarlyView.
Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar, Laura Meriluoto, Richard Watt   +2 more
wiley   +1 more source

Understanding the Housing and Support Experience of People With Complex Disability in Australia: A Qualitative Analysis of Submissions to the Disability Royal Commission

Australian Journal of Social Issues, EarlyView.
ABSTRACT In 2019, the Australian government established the Royal Commission into Violence, Abuse, Neglect and Exploitation of People with Disability (‘Disability Royal Commission’, DRC) to investigate widespread mistreatment of people with disability. Nearly 10,000 people with disability, their families and supporters engaged with the DRC.
Kate D'Cruz, Fiona Carey, Libby Witts, Jessie Spence, Peter Mulherin, Megan Topping, Di Winkler, Jacinta Douglas   +7 more
wiley   +1 more source

Beyond Blueprints: Exploring the influence of social science factors on engineers' flood infrastructure design decisions. [PDF]

PLoS One
Ajorlou E, Pourmatin M, Farhadzadeh A, Ghayoomi M, Hewitt E.   +4 more
europepmc   +1 more source

Building Community Amidst the Institutional Whiteness of Graduate Study: Black Joy and Maroon Moves in an Academic Marronage

Australian Journal of Social Issues, EarlyView.
ABSTRACT This article reflects on the construction of a supportive community of Black Afro‐diasporic graduate students and their supervisors researching issues relating to race in the field of education in Australia. It draws on the concept of marronage—a term rooted in the fugitive act of becoming a maroon, where enslaved people enacted an escape in ...
Hellen Magoi, Casianus Gemoh, Denise Chapman, Edmund Hypolite, Simon Angok, Melanie Baak, Joel Windle   +6 more
wiley   +1 more source

Remote sensing and GIS-based modelling of land use dynamics and urban flood risk in Lagos megacity for future flood mitigation. [PDF]

Sci Rep
Aniramu O, Iyanda O, Orimoogunje O.
europepmc   +1 more source

Implementing an Indigenous Research Methodology to Develop a Culturally Appropriate Survey and Yarning Protocol: Challenges With Retention of the Aboriginal Health, Ageing and Disability Workforce

Australian Journal of Social Issues, EarlyView.
ABSTRACT Aboriginal staff play a vital part in improving culturally safe and effective services and supports for Aboriginal people. Research on the Aboriginal workforce helps advance a culturally safe environment for workers and Aboriginal people accessing health and community services. This study aims to identify the barriers and enablers to workforce
F. Talbot, J. Gilroy, J. Gwynn, K. Bulkeley, C. Alcorso, K. Gwynne, Rob Heard, Sarah Peter, A. Haines, M. Lincoln, B. Rambaldini   +10 more
wiley   +1 more source

Flood susceptibility assessment using three machine learning techniques and comparison of their performance. [PDF]

Sci Rep
Asrade TM, Abebe SA, Tadesse KB, Kerebih MS, Meshesha TM.   +4 more
europepmc   +1 more source