Results 81 to 90 of about 26,103 (323)

Self‐Amplifying Redox Cycle Triggers Ferroptosis/Cuproptosis Synergy for Enhanced Bacterial Eradication

open access: yesAdvanced Science, EarlyView.
This study designs a targeted nanocomposite (ct@HMCF‐Dex) that responds to acidic infection microenvironments, releasing components which amplify oxidative stress. It disrupts bacterial redox balance, chelates metals to sustain lipid peroxidation, and synergistically induces cuproptosis/ferroptosis‐like death.
Zehui Xiao   +6 more
wiley   +1 more source

Deshaling technology – a perspective method of enrichment of coal in Poland [PDF]

open access: yes, 2016
Стаття присвячена сухому очищенню вугілля, випробування проводилися на збагачува-льному столі повітряного типу FGX-1. Дослідження проводилися на польському кам'яному вугіллі.
Baic, I., Blaschke, W.
core  

Dual‐Network Protein Hydrogels Promote Rapid Hemostasis and Immune‐Regulated Scarless Tissue Regeneration

open access: yesAdvanced Science, EarlyView.
A dual‐network protein hydrogel substantially improves hemostasis and scar‐free healing.The adaptive network maintains intimate tissue contact while providing strong wet adhesion, tunable mechanics, and controlled degradation. Concurrent ROS scavenging and M2 polarization suppress fibrotic pathways, preventing scar formation.
Xiaomei Li   +11 more
wiley   +1 more source

V2CTx MXene as a Sacrificial Promoter for NiFe Catalyst for Anion Exchange Membrane Electrolyzers

open access: yesAdvanced Science, EarlyView.
These findings demonstrate that V2CTx functions beyond passive conductive support as an active electronic participant whose structural legacy sustains durable performance even after vanadium leaching in Anion Exchange Membrane (AEM) Electrolysers. ABSTRACT Nickel‐iron layered double hydroxides (NiFe‐LDH) show excellent activity, their poor conductivity
Bastian Schmiedecke   +12 more
wiley   +1 more source

Volume fraction variations and dilation in colloids and granulars [PDF]

open access: yes, 2009
Discusses the importance of spatial and temporal variations in particle volume fraction to understanding the force response of concentrated colloidal suspensions and granular ...
Cates M. E., Metzner A. B.
core   +1 more source

Ergonomic Sponge Electrodes From Recycled PEDOT:PSS

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Emerging technologies in human–machine interfacing increasingly aim to develop solutions that naturally conform to the body's unique characteristics. Ergonomics and electrical performance in cutaneous sensing are crucial for accurate and reliable translation of biosignals.
Matías Ceballos   +3 more
wiley   +1 more source

Agglomerate properties [PDF]

open access: yes, 2003
Modelling of wet granulation requires the rate of agglomerate coalescence to be estimated. Coalescence is dependent on the frequency of collisions that occur, and the fraction of collisions which result in coalescence.
Jones, J.R., McKibbin, R., Rynhart, P.R.
core  

Challenges and enablers in fluidization technology

open access: yesAIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Advanced Experiment Design Strategies for Drug Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang   +3 more
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu   +11 more
wiley   +1 more source

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