Results 211 to 220 of about 2,866,408 (299)

3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian   +5 more
wiley   +1 more source

Advancing Wildfire‐Retardant Materials: Engineering Strategies for Direct and Indirect Suppression

open access: yesAdvanced Engineering Materials, EarlyView.
Here, the evolution, ecological impact, and performance of current fire‐retardant materials and suppression strategies are reviewed, offering an engineering perspective to address existing challenges and propose pathways for the development of more effective, scalable, and sustainable solutions to meet the demands of a changing climate. Wildfires cause
Changxin Dong   +4 more
wiley   +1 more source

A nationwide analysis of heat and workplace injuries in the United States. [PDF]

open access: yesEnviron Health
Alahmad B   +5 more
europepmc   +1 more source

Unlocking the Power of Quercetin‐Encapsulated Mesoporous Bioactive Glass Nanoparticles: A Multifunctional Approach to Bone Regeneration

open access: yesAdvanced Engineering Materials, EarlyView.
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello   +5 more
wiley   +1 more source

Machine Learning‐Based Design of 3D‐Printable Microneedles for Enhanced Tissue Anchoring with Reduced Tissue Damage

open access: yesAdvanced Engineering Materials, EarlyView.
A machine learning‐driven framework is introduced to optimize 3D‐printable microneedles for enhanced tissue anchoring and reduced insertion damage. The optimized design achieves a 6.0‐fold improvement in pull‐out‐to‐penetration energy ratio over conventional shapes.
Jegyeong Ryu   +5 more
wiley   +1 more source

Modular eFAST tissue phantom for AI-based ultrasound triage. [PDF]

open access: yesBiomed Eng Online
Mejia I   +6 more
europepmc   +1 more source

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