Articles

Elsevier,

First Nations Health and Wellbeing - The Lowitja Journal, Volume 2, 2024, 10002

The findings contribute to a deeper understanding of the unique social and emotional wellbeing needs of Aboriginal and Torres Strait Islander peoples accessing home-based aged care services and have significant implications for current and future aged care reforms in Australia.

Elsevier,

The Lancet Global Health, Volume 12, May 2024

This Article supports SDG 3 by highlighting that people with disabilities have a two-fold higher mortality rate than people without disabilities in LMICs; a better understanding of this relationship is needed to inform public health planning, policy making, and the allocation of health-care resources to promote healthy longevity for all populations worldwide.
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Elsevier,

Acta Pharmaceutica Sinica B, 2024, ISSN 2211-3835

The study introduces a nano-modulator that targets the damaged blood-brain barrier in Alzheimer’s disease. This modulator releases therapeutic agents that reduce amyloid-beta load, alleviate neuroinflammation, and restore neurovascular unit function, showing potential for Alzheimer’s treatment.

Elsevier,

Biological Conservation, Volume 293, May 2024

This papers shows that deforestation negatively affects orchid bee species diversity and that protected areas house the highest richness and abundance of orchid bees.
Elsevier,

Biological Conservation, Volume 293, May 2024

A perspective piece on ecosystem restoration and seed provenance, highlighting different stakeholders and frameworks and current needs
Elsevier,

Cell Reports Physical Science, Volume 5, 15 May 2024

This article explores innovations in Fenton technology to enhance wastewater treatment, including using co-catalysts and engineering catalyst microenvironments to overcome challenges like iron sludge and pH limitations.
Elsevier,

Water Research X, Volume 23, 1 May 2024

This paper highlights the urgent need to enhance water system resilience in response to climate-induced scarcity, using a dynamic multisectoral model to analyze the macroeconomic impacts of temporary water shortages, revealing how firms' investment foresight influences their responses and the economy, with sector-specific insights indicating both negative impacts, particularly in agriculture and energy, and potential competitive benefits in certain sectors, ultimately recommending that firms prioritize anticipation and resilience-building measures across all sectors.
Elsevier,

Water Research X, Volume 23, 1 May 2024

This study presents a deep learning framework using convolutional neural networks (CNNs) to efficiently replicate high-resolution outputs of conventional hydrological models for estimating groundwater head and surface water depth in the Sabgyo Stream Watershed, South Korea, achieving a 45-fold reduction in computation time compared to a physics-based model while demonstrating potential for predictive capabilities under future climate scenarios, although further improvements are needed for long-term accuracy.

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