Global

Zebra of the Year: Ankylosing Spondylitis

Rare Disease Education: Ankylosing Spondylitis

Editor: Kelsey LaFayette, DNP, RN, FNP-C

This chapter aligns with UN SDG goals 2 and 3 by underscoring the vital role of functional foods for promoting health and well-being.
Elsevier,

iScience, Volume 28, Issue 2, 21 February 2025, 111803

This study evaluates eight National One Health Strategic Plans using a mixed analytical approach, revealing varying degrees of alignment with core One Health principles and highlighting strengths and gaps to inform future initiatives. The framework combines qualitative, quantitative, and network analyses to assess content, terminology, and conceptual relationships within the plans.

Elsevier,

Arévalo, Benavides & Ochoa-Correa, Towards Future Smart Power Systems with High Penetration of Renewables: Emerging Technologies, New Tools, and Case Studies, 2025, Pages 213-237

This chapter aligns with SDGs 7, 11, and 10, by offering a case study on renewable energy and rural electrification in Ecuador, in the context of socioeconomic challenges and climate change, whilst also drawing on other examples from developing countries elsewhere.

The article highlights the potential of AI to support SDGs related to responsible consumption and production (Goal 12), and climate action (Goal 13).

This article presents a heat-pump-coupled sorbent system to simultaneously harvest water from air and regulate indoor environments, addressing global challenges related to water scarcity and energy-efficient air conditioning.
The article provides an overview of metal-organic framework (MOF)-based composite adsorbents for atmospheric water harvesting, discussing the hydrolytic stability of MOFs, recent advances in sorption-based water harvesting devices, and the challenges and prospects of MOF-based composite adsorbents. Key points include compositing MOFs with other functional materials to address limitations in water adsorption capacity and energy-intensive regeneration, and the factors affecting the hydrolytic stability of MOFs.
The article discusses the potential of artificial intelligence (AI) in revolutionizing drug discovery for Alzheimer's disease (AD) and delirium. It explores how AI can facilitate target identification, small molecule and protein-based drug design, and optimization of pharmacokinetic properties to address the challenges in developing effective treatments for these two brain diseases.
This review highlights how nurse practitioners can strengthen Alzheimer’s disease care by supporting earlier diagnosis and access to treatment, which is essential for maintaining quality of life. Expanding their role helps reduce barriers in the healthcare system, ensuring people with Alzheimer’s receive timely care that promotes better health and well-being.
The article presents PI4AD, a computational medicine framework that integrates multi-omics data, systems biology, and artificial neural networks to prioritize therapeutic targets for Alzheimer's disease (AD). PI4AD recovers clinically validated targets like APP and ESR1, confirming its prioritization efficacy. The framework identifies Ras signaling as a central therapeutic hub, complementing traditional amyloid/tau-focused approaches. Crosstalk analysis reveals critical nodal genes (e.g., HRAS and MAPK1) and drug repurposing opportunities, bridging genetic insights with pathway-level biology.

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