Results 161 to 170 of about 1,698 (209)

Targeting DNGR‐1 with Fangchinoline Elevates Dendritic Cell Antigen Cross‐Presentation‐Mediated Antitumor Immunity in Melanoma

open access: yesAdvanced Science, EarlyView.
Fangchinoline is identified as a small‐molecule DNGR‐1 modulator that enhances dendritic‐cell cross‐presentation of tumor antigens. By engaging DNGR‐1 and activating Syk–Nox2 signaling, it promotes phagosomal ROS, antigen escape, MHC‐I presentation, and CD8+ T‐cell priming, thereby strengthening antitumor immunity and sensitizing tumors to PD‐1 ...
Yuan Liao   +19 more
wiley   +1 more source

Designer Dynamic DNA Nanoaggregate in Living Cell for Mitochondrial Energy Restriction

open access: yesAdvanced Science, EarlyView.
This study presents the Tech‐tetrahedron, a designer dynamic DNA nanoaggregate engineered for precise mitochondrial energy restriction. Its trinity‐functionalized design integrates navigable unit, telomerase‐activated latch, and self‐assembly module.
Ruijia Deng   +12 more
wiley   +1 more source

Self‐Adhesive Conductive Elastomers for Gel‐Free Biopotential Recording

open access: yesAdvanced Electronic Materials, EarlyView.
σPOMaC, a self‐adhesive conductive citrate elastomer incorporating PEDOT:PSS and DBSA, enables gel‐free biopotential electrodes with stable conductivity and intrinsic skin adhesion. The composite exhibits low resistivity (∼ 0.02 Ω·cm), robust electrical performance during repeated use, and reliable on‐body ECG acquisition comparable to Ag/AgCl ...
Kirstie M. K. Queener   +7 more
wiley   +1 more source

Dual‐Mode Conductive Hydrogel Sensor Combining Triboelectric and Piezoresistive Mechanisms for Signal Differentiation and Verification

open access: yesAdvanced Electronic Materials, EarlyView.
A hierarchical poly(vinyl alcohol)/polyaniline‐silver nanoparticle hydrogel is developed as a dual‐mode sensor to overcome single‐mechanism limitations. By synchronizing triboelectric and piezoresistive signals, this device differentiates between mechanical touch and environmental moisture, offering high sensitivity and real‐time signal decoupling ...
Nebiyou Tadesse Debele   +2 more
wiley   +1 more source

Redox Complexity in Sodium Manganese Hexacyanomanganate and Its Influence on Sodium‐Ion Storage Performance

open access: yesAdvanced Energy Materials, EarlyView.
The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li   +11 more
wiley   +1 more source

Ban Glyphosate—Does It Affect the Swedish Farmers' Willingness to Grow Cover Crops?

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The cultivation of cover crops is one of the new Eco‐scheme practices introduced in Sweden. This study examines how the design of policy attributes of these schemes influences farmers' willingness to grow cover crops on arable land, with particular focus on the potential impact of a glyphosate ban.
Vivian Wei Huang   +2 more
wiley   +1 more source

The impact of the Russia–Ukraine war on stock prices, profits and perceptions in the food supply chain

open access: yesAgribusiness, EarlyView.
Abstract The Russian invasion of Ukraine in February 2022 had profound consequences for the global economy. As both countries are major commodity exporters, the food value chain was also affected. This study investigates the impact of the invasion on stock prices, profitability and sentiments of agribusinesses along the food supply chain by using an ...
Julia Höhler   +2 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

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