Results 51 to 60 of about 69,629 (213)

Pull‐and‐Push Nanotherapeutic Hydrogels: Scavenging Inflammatory Triggers While Driving Tissue Regeneration in Burn Wounds

open access: yesAdvanced Functional Materials, EarlyView.
A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim   +9 more
wiley   +1 more source

Shape Memory Microneedle to Prevent Risks of Reproductive Hormone Therapy by Switching Sustained to Burst Release Under a Single Transdermal Insertion

open access: yesAdvanced Functional Materials, EarlyView.
A shape‐memory microneedle system enables reproductive hormone therapy through a single transdermal insertion. The X‐shaped device sustains follicle‐stimulating hormone release for three days, and mild heating restores the O shape to trigger burst human chorionic gonadotropin release.
Sungwoo Cho   +8 more
wiley   +1 more source

Diagnosing the Misuse of the Bayes Factor in Applied Research

open access: yesAdvances in Methods and Practices in Psychological Science
Hypothesis testing is often used for inference in the social sciences. In particular, null hypothesis significance testing (NHST) and its p value have been ubiquitous in published research for decades. Much more recently, null hypothesis Bayesian testing
Jorge N. Tendeiro   +4 more
doaj   +1 more source

Modular Control of PEG‐Poly(2‐Oxazoline) Co‐Assembly Enables Tunable Aggregate Properties for Intraocular Pressure Management

open access: yesAdvanced Healthcare Materials, EarlyView.
A thermo‐responsive poly(2‐oxazoline)‐based injectable formulation is developed to modulate intraocular pressure (IOP) in both normal and hypotonic eyes. By adjusting the PEG content, the aggregation behavior is finely tuned, enabling IOP elevation without long‐term deposition.
Yuji Tanaka   +2 more
wiley   +1 more source

Thermal‐Driven Diode Polarity Switching From Competing Helical Superconducting States in WTe2/α‐Fe2O3 Heterostructures

open access: yesAdvanced Materials, EarlyView.
A Nb‐proximitized Josephson junction based on a WTe2/α‐Fe2O3 heterostructure exhibits a robust superconducting diode effect with programmable polarity. The diode direction can be trained by magnetic fields and switched by temperature cycling, revealing tunable finite‐momentum pairing states and competing superconducting states in symmetry‐broken ...
Enze Zhang   +9 more
wiley   +1 more source

Bayesian Analysis for a Fractional Population Growth Model

open access: yesJournal of Applied Mathematics, 2017
We implement the Bayesian statistical inversion theory to obtain the solution for an inverse problem of growth data, using a fractional population growth model.
Francisco J. Ariza-Hernandez   +3 more
doaj   +1 more source

Indium‐Mediated Glue‐Like Interlayer Enables Stable High‐Capacity Flexible Sodium Metal Batteries

open access: yesAdvanced Materials, EarlyView.
A three‐dimensional Na‐In‐S/Cu composite interlayer is constructed on a flexible current collector via an In‐mediated in situ reaction. Featuring abundant Na nucleation sites and a low diffusion barrier, this interlayer enables rapid and uniform Na deposition.
Xinyan Li   +13 more
wiley   +1 more source

The Bayes factor surface for searches for new physics

open access: yesEuropean Physical Journal C: Particles and Fields
The Bayes factor surface is a new way to present results from experimental searches for new physics. Searches are regularly expressed in terms of phenomenological parameters – such as the mass and cross-section of a weakly interacting massive particle ...
Andrew Fowlie
doaj   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

open access: yesAdvanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

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