Results 161 to 170 of about 47,812 (256)

Fiber‐type soft bioelectronics for wearable and implantable sensing and therapy

open access: yesBMEMat, EarlyView.
Fiber‐type soft bioelectronics are emerging as versatile platforms for wearable and implantable health monitoring and therapeutic applications. These bioelectronics use organic and inorganic matrices combined with advanced fillers, which feature high conductivity, electrochemical sensitivity, softness, and biocompatibility.
Haneul Kim   +5 more
wiley   +1 more source

Advancing design strategies in smart stimulus‐responsive liposomes for drug release and nanomedicine

open access: yesBMEMat, EarlyView.
Schematic illustration of stimulus‐responsive liposomes designed for controlled drug release and nanomedicine. The innermost circle represents different liposomal structures, including unilamellar, multilamellar, and multivesicular liposomes. The middle layer illustrates the responsive phospholipid components.
Yuchen Guo   +9 more
wiley   +1 more source

Advanced nanotherapeutics for combating ocular infections: Rational design, antimicrobial mechanisms, and therapeutic breakthroughs

open access: yesBMEMat, EarlyView.
Nanomaterials revolutionize ocular infection treatment by enabling targeted drug delivery and enhanced antimicrobial efficacy against resistant pathogens. This review systematically explores their rational design, multimodal mechanisms, and translational potential for next‐generation anti‐infective therapies.
Yujia Liu   +7 more
wiley   +1 more source

The influence of rivers on seabird foraging ecology

open access: yesBiological Reviews, EarlyView.
ABSTRACT Rivers act as vital arteries to the world's oceans, delivering fresh water and nutrients that sustain marine ecosystems. Globally, river flow increasingly is being altered by climate change and anthropogenic pressures; yet the significance of rivers to predatory marine species, such as seabirds, and the extent to which river‐related changes ...
Julia B. Morais   +2 more
wiley   +1 more source

A roadmap to key traits of invasive Drosophilidae

open access: yesBiological Reviews, EarlyView.
ABSTRACT Biological invasions have intensified in recent decades, mostly driven by international trade and travel, raising significant concerns, particularly regarding insect pests. Once non‐native species establish, they can disrupt natural ecosystem stability, undermine agroecosystem sustainability and cause substantial economic losses.
Gwenaëlle Deconninck   +14 more
wiley   +1 more source

Flight of the dragons: a global review of migration in Odonata

open access: yesBiological Reviews, EarlyView.
ABSTRACT Insects are the most abundant and ecologically important animal migrants. Yet, we know relatively little about the patterns and processes underlying insect migration. Dragonflies (Anisoptera) and damselflies (Zygoptera) comprise the ancient insect order Odonata, whose ancestors were the first organisms to fly on Earth.
Johanna S.U. Hedlund   +3 more
wiley   +1 more source

From Material Tensions to Organizational Paradoxes: How Manufacturers Cope With the Limits of Circular Product Design

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Circular product design (CPD) is central to advancing the circular economy by enabling the narrowing, slowing, and closing of resource flows. Yet, its implementation remains persistently challenging for firms. Prior research has largely framed these challenges as discrete barriers, overlooking the structural contradictions embedded in CPD ...
Vanessa Robertson   +2 more
wiley   +1 more source

Platform Thinking as a Catalyst for Circular Innovation in Low‐ and Medium‐Tech Industries

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Growing pressures to replace linear with circular models challenge organisations to innovate continuously and to absorb new knowledge. While platform thinking has been examined as an enabler of innovation in high‐tech industries, its relevance in low‐ and medium‐tech industries, like construction, remains underexplored.
Julia Köhler   +3 more
wiley   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

open access: yesCereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson   +7 more
wiley   +1 more source

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