Results 91 to 100 of about 355,326 (234)

Reconfigurable Magnetic Soft Microrobot for Acoustically Triggered Targeted Bacterial Sterilization

open access: yesAdvanced Functional Materials, EarlyView.
Reconfigurable magnetic soft microrobots integrate in situ‐grown piezoelectric zinc oxide nanorods that produce reactive oxygen species upon acoustic excitation. Combining magnetically guided transport with thermally induced planar reconfiguration, the microrobots achieve targeted delivery and enhanced bacterial sterilization through efficient on ...
Quan Gao   +12 more
wiley   +1 more source

Self-Diverting Downhole Pressure Regulation Polymer Injection Technology

open access: yesShiyou jixie, 2016
The displacing phase change usually leads to unstable polymer absorption of polymer injection layer and serious injection pressure fluctuations, thus resulting in varied differential pressure and flow between layers and frequent flow measurement and ...
Sun Jinfeng   +5 more
doaj  

Bimetallic Nanoreactor Activates cGAS‐STING Pathway via mtDNA Release for Cancer Metalloimmunotherapy

open access: yesAdvanced Functional Materials, EarlyView.
A bimetallic Mn–Ca nanoreactor (MCC) is developed as a non‐nucleotide STING nanoagonist for cancer metalloimmunotherapy. MCC induces Ca2+ overload and hydroxyl radical generation, resulting in mitochondrial damage and mtDNA release. The released mtDNA cooperates with Mn2+ to robustly activate cGAS–STING signaling.
Xin Wang Mo   +7 more
wiley   +1 more source

Electroactive Liquid Crystal Elastomers as Soft Actuators

open access: yesAdvanced Functional Materials, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley   +1 more source

Synthetic reflection self-injection-locked microcombs

open access: yesNature Photonics
AbstractLaser-driven microresonators have enabled chip-integrated light sources with unique properties, including the self-organized formation of ultrashort soliton pulses and frequency combs (microcombs). While poised to impact major photonic applications such as spectroscopy, sensing and optical data processing, microcombs still necessitate complex ...
Alexander E. Ulanov   +5 more
openaire   +4 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Oral Dosed Organo‐Silica Nanoparticles Restore Glucose Homeostasis and β‐Cell Function in Diabetes Rats

open access: yesAdvanced Functional Materials, EarlyView.
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu   +14 more
wiley   +1 more source

Self Injection Ionization - Poster

open access: yes, 2017
The characteristic of self-injected electron beams in Plasma Acceleration strongly and nonlinearly depend on both the driver (Laser, electron or positron beam) and the plasma wake properties. Several schemes have been proposed [1,2,3] in order to reduce the number of independent variables and therefore to improve the control on the self-injected beam ...
openaire   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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