Results 71 to 80 of about 669,385 (169)

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Magnesium‐Based Transient Bioelectronics, Bio‐Optics and Bio‐Scaffolds

open access: yesAdvanced Functional Materials, EarlyView.
This paper reviews the state of the art and recent advances in magnesium‐based thin‐film, foils, and scaffolds for applications in transient bio‐optics, bioelectronics and tissue engineering. The design principles, fabrication methods, material properties, and integration strategies are discussed in detail.
Massimo Mariello, Yves Leterrier
wiley   +1 more source

Bismuth‐Based Photocatalysts for Water Remediation: Design Strategies, Mechanisms, and Challenges

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights representative design strategies for bismuth‐based semiconductor photocatalysts in solar‐driven water purification. Emphasis is placed on electronic structure regulation, oxygen‐vacancy engineering, and interfacial coupling to enable efficient full‐spectrum light utilization, improved charge separation, and selective oxidation in
Shan Liu   +9 more
wiley   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao   +6 more
wiley   +1 more source

Interaction‐Driven Assembly Pathways in Heterogeneous Active Microrobotic Systems

open access: yesAdvanced Functional Materials, EarlyView.
Peanut‐ and cube‐shaped light‐powered microrobots exhibit distinct magnetic and photocatalytic responses that determine their heterogeneous self‐assembly. In the dark, magnetic dipole interactions drive colloidal copolymerization with cubes acting as nucleation centers, whereas under light irradiation, phoretic interactions compete with magnetic ...
Domenico Calabrò   +5 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

open access: yesAdvanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz   +9 more
wiley   +1 more source

Gardiquimod Nanoemulsion Targets Cutaneous Leishmaniasis Lesions Reducing Systemic Toxicity and Parasite Burden

open access: yesAdvanced Healthcare Materials, EarlyView.
Nanoemulsion delivery of a TLR7 agonist enhances safety and promotes colocalization with Leishmania‐infected macrophages in skin lesions, enabling a ∼2‐log reduction in parasite burden. However, tissue‐level constraints and TLR‐driven regulatory feedback generate a mixed immune response that limits complete parasite clearance.
Carmen Palomino‐Cano   +11 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

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