Results 201 to 210 of about 1,359,000 (342)

A Microfluidic Digital Shutter of Liquid–Liquid Interface for Fabrication of Multifaceted Hydrogel Microfiber Structure

open access: yesAdvanced Science, EarlyView.
A programmable passive digital shutter based on multiphase liquid–liquid interface dynamics is introduced for precise fabrication of hydrogel microfibers. By modulating the shutter operation, microfibers with tunable geometry—including linear, helical, tadpole‐like, and spherical forms—are produced.
Dongrui Zhang   +14 more
wiley   +1 more source

Ports : ports

open access: yesReduccions: revista de poesia, 1998
Burnside, John   +2 more
openaire   +1 more source

Rapid Decentralized Prostate Cancer Risk Stratification by Portable Liquid Biopsy Analysis within a Clinical Biosensor Validation Framework

open access: yesAdvanced Science, EarlyView.
In this work, we showcased two significant scientific advances in (i) developing a portable biosensor technology for rapid decentralized prostate cancer urinary biomarker testing and reporting, with superior performance to current clinical testing practice; and (ii) proposing a clinical validation framework (for our biosensor development) which can be ...
Kevin M. Koo   +14 more
wiley   +1 more source

Large-scale silicon photonics switches for AI/ML interconnections based on a 300-mm CMOS pilot line. [PDF]

open access: yesNanophotonics
Suzuki K   +5 more
europepmc   +1 more source

Activating the Osteoblastic USP26 Pathway Alleviates Multi‐Organ Fibrosis by Decreasing Insulin Resistance

open access: yesAdvanced Science, EarlyView.
The loss of Ubiquitin Specific Peptidase 26 (USP26) in osteoblasts results in decreased bone formation, as well as multi‐organ fibrosis associated with insulin resistance (IR). Mechanistically, the absence of USP26 reduces glycolysis and lactate accumulation, leading to decreased histone H3 lysine 18 lactylation (H3K18LA) in the promoter region of KH ...
Jiyuan Tang   +9 more
wiley   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

open access: yesAdvanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na   +10 more
wiley   +1 more source

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