Results 221 to 230 of about 615,016 (327)

Cellular Hallmarks From Volume Electron Microscopy Reveal Developmental Progression of Plasmodium Ookinetes

open access: yesAdvanced Science, EarlyView.
This article presents a detailed ultrastructural cell atlas of Plasmodium ookinete development using advanced volume electron microscopy (v) techniques. It defines seven distinct developmental stages, revealing complex organelle interactions and offering new insights into parasite differentiation.
Nedal Darif   +12 more
wiley   +1 more source

Enhancing Spatial Transcriptomics via Spatially Constrained Matrix Decomposition with EDGES

open access: yesAdvanced Science, EarlyView.
Imaging‐based spatial transcriptomics technologies are currently limited by their restricted gene detection capacity and low measurement accuracy. Moreover, the insufficient integration of spatial context and single‐cell reference data poses a significant challenge for comprehensive data analysis.
Jinyue Zhao   +5 more
wiley   +1 more source

Thermal Release Characteristics of Aeroengine Combustor Outlet Modulated by Gliding Arc Plasma

open access: yesAdvanced Science, EarlyView.
Gliding arc plasma‐assisted combustion significantly improves aeroengine combustor. Gliding arc plasma moves flames closer to the fuel source, enabling complete burning. This increases the combustion efficiency by 10.3% and raises outlet temperature by 141.6°C.
Lei Zhang   +5 more
wiley   +1 more source

A Shape‐Adaptive, Performance‐Programmable, Self‐Healable and On‐Demand Destructible Robotic Skin via Self‐Strengthening Dynamic Silicone

open access: yesAdvanced Science, EarlyView.
Enabled by the distinctive inter‐ and intra‐chain siloxane exchange in commercially available silicones as the dielectric layer, the omni‐adaptive robotic skin (OmniAdapt) integrates multiple advanced functionalities: programmable sensing performance via the self‐stiffening dielectric material, application as BPM sensor, shape adaptivity for electronic
Wusha Miao   +7 more
wiley   +1 more source

A Generative Framework for Predicting Antiferromagnets

open access: yesAdvanced Science, EarlyView.
This work establishes a design paradigm for antiferromagnets (AFM), accelerating next‐generation spintronic material discovery. By integrating a crystal diffusion variational autoencoder with data augmentation, crystal graph convolutional neural networks, and a genetic algorithm, latent vectors are updated toward AFM property spaces, expanding ...
Jianhu Gong   +5 more
wiley   +1 more source

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