Results 111 to 120 of about 53,028 (278)

Rewiring NADH Metabolism Through NQO1‐Mediated Redox Cycling for Targeted Follicular Lymphoma Therapy

open access: yesAdvanced Science, EarlyView.
ABSTRACT Follicular lymphoma (FL) remains an incurable B‐cell malignancy with high relapse rates, and conventional therapies are often limited by significant toxicity, highlighting the need for novel treatments. We identified that FL exhibits markedly low expression of NAD(P)H: quinone oxidoreductase 1 (NQO1), a key enzyme required for activating ...
Jinxing Zhang   +10 more
wiley   +1 more source

Deciphering the Dynamic Balance Between Solvation Strength and Polysulfides Reaction Heterogeneity in Practical Lithium‐Sulfur Batteries

open access: yesAdvanced Science, EarlyView.
A weakly solvating fluorinated cosolvent (1200ET) enables precise solvation‐power regulation in Li–S batteries, decoupling interfacial stabilization from sulfur redox kinetics. This approach suppresses polysulfide dissolution while preserving reaction kinetics, leading to a stable Li metal interface and high‐energy multilayer pouch cells, revealing a ...
Huidong Dai   +9 more
wiley   +1 more source

Rejuvenated Amorphous Alloys: Processing Methods, Microstructures and Mechanical Properties

open access: yesAdvanced Science, EarlyView.
Three rejuvenation methods – mechanical and thermal rejuvenation, and other rejuvenation routes such as ultrasonic processing – can be used to modify structures of glassy alloys, especially atomic clusters, and therefore enhances plasticity and activates work‐hardening behaviors.
Can Yang   +10 more
wiley   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

open access: yesAdvanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka   +5 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu   +5 more
wiley   +1 more source

A Highly Hydrophilic Air Electrode With Water‐Induced Surface Reconstruction for Efficient Reversible Protonic Ceramic Cell at Low Water Partial Pressures

open access: yesAdvanced Energy Materials, EarlyView.
This work demonstrates a new strategy for reversible protonic ceramic cells (R‐PCCs). By developing highly hydrophilic oxides, efficient operation is achieved under low water vapor pressures while maintaining high performance and stability. This approach addresses the challenge of hydrogen production in freshwater‐scarce regions.
Nai Shi   +15 more
wiley   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren   +10 more
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

EVALUATING A NEW SUBCARRIER MAPPING ICI-SC SCHEME USING LINEAR MAXIMUM LIKELIHOOD ALAMOUTI COMBINER (LMLAC) DECODING TECHNIQUE [PDF]

open access: yesJournal of Engineering Science and Technology, 2011
This paper presents a new subcarrier mapping scheme ICI-SC technique that use Linear Maximum Likelihood Alamouti Combiner (LMLAC) as a decoding technique to mitigate intercarrier interference (ICI) problem with low complexity decoding system for space ...
SHARIFAH K.   +3 more
doaj  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

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