Results 181 to 190 of about 851,649 (301)

Microgels Enable iPSCs to Assemble, Expand, and Differentiate Into Organoids—From Sizable to High‐Throughput

open access: yesAdvanced Materials, EarlyView.
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen   +8 more
wiley   +1 more source

An Explainable Attention-Enhanced Deep Learning Model for Memory-Forensic Malware Detection. [PDF]

open access: yesSensors (Basel)
Adejoh J   +5 more
europepmc   +1 more source

Fiber‐Format Flexible Linear Electrostatic Motors

open access: yesAdvanced Materials, EarlyView.
A flexible coaxial fibre‐format electrostatic motor enables backdrivable and reversible linear actuation with high force density and functionality under bending, offering a scalable actuation platform for soft and wearable robotics. ABSTRACT Linear motion is fundamental to robotics, yet existing solutions are either rigid electromagnetic motors or ...
Sylvain Schaller, Herbert Shea
wiley   +1 more source

Accuracy-latency trade-offs and absent embedded validation in deep learning driver drowsiness detection: a PRISMA systematic review. [PDF]

open access: yesFront Artif Intell
Salas Yupanqui CW   +6 more
europepmc   +1 more source

Phase‐Engineered MoS2 Quantum Monolayer Catalysts

open access: yesAdvanced Materials, EarlyView.
A new type of catalyst model—phase‐engineered MoS2 quantum‐monolayer catalyst (∼0.8 nm thick, < 6 nm in the lateral size; switchable freely among metallic 1T, semiconducting 2H, and a hybrid phase of metallic‐semiconducting 1T‐2H)—is reported. It can efficiently and stably drive photochemical H2, syngas and ammonia synthesis as a catalyst or co ...
Ruijie Yang   +12 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

A design-integrated framework for neuroarchitectural research. [PDF]

open access: yesFront Psychol
Wei N   +4 more
europepmc   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

open access: yesAdvanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim   +4 more
wiley   +1 more source

A Health Informatics System in the South Australian Public Health Network: Implementation Report. [PDF]

open access: yesJMIR Med Inform
Malycha J   +7 more
europepmc   +1 more source

Bacteria‐Trained, MnO2‐Armored Dendritic Cells for Immunotherapy

open access: yesAdvanced Materials, EarlyView.
MnO2‐armored, bacteria‐trained dendritic cells undergo tumor‐responsive mechanical and immunological transformation. The nanocoating masks immune ligands and maintains a mechanically stiff, quiescent state during circulation, while the tumor microenvironment removes the armor and restores cellular deformability and immune accessibility.
Zhao Guo   +9 more
wiley   +1 more source

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