Results 71 to 80 of about 188,708 (250)

Adaptive 4D‐Printed Vascular Stents With Low‐Temperature‐Activated and Intelligent Deployment

Advanced Functional Materials, EarlyView.
Microarchitected coronary artery stents were fabricated using a polycaprolactone (PCL)‐based shape memory polymer (SMP) composite via projection micro‐stereolithography (PµSL) 4D printing. By incorporating diethyl phthalate (DEP) as a plasticizer, the thermal transition temperature (Ttran) was modulated to about 37°C, enabling rapid and autonomous ...
Yannan Li, Yifan Pan, Chikahiro Imashiro, Chaolun Xu, Jianxian He, Jingao Xu, Kewei Song, Ze Zhang, Chen Gao, Junbo Jiang, Runhuai Yang, Kayo Hirose, Shinjiro Umezu   +12 more
wiley   +1 more source

Using the Photostationary State of Arylazopyrazoles to Control Phase Transitions of Liquid Crystals

Advanced Functional Materials, EarlyView.
A series of new arylazopyrazole photoswitches is designed as dopants for liquid crystalline materials. Unprecedented, the distribution of photoisomers at the photostationary state upon irradiation with light of specific wavelengths (365, 460, 520 nm) is used to control the liquid crystalline phase transitions under isothermal conditions, including ...
Tobias Thiele, Kristina Hrybenko, Christoph Wölper, Michael Giese   +3 more
wiley   +1 more source

Toughening β‐Ga2O3 via Mechanically Seeded Dislocations

Advanced Functional Materials, EarlyView.
β‐Ga2O3 is promising for next‐generation semiconductors but its brittleness limits flexible and high‐precision applications. Here, mechanically seeded dislocations introduced by surface deformation improved damage tolerance in (001) β‐Ga2O3. Nanoindentation and characterization show dislocations suppress cleavage cracks by enabling stable plastic ...
Zanlin Cheng, Jiawen Zhang, Peng Gao, Guosong Zeng, Xufei Fang, Wenjun Lu   +5 more
wiley   +1 more source

A Bayesian Bootstrap Approach for Dynamic Borrowing for Minimizing Mean Squared Error

For dynamic borrowing to leverage external data to augment the control arm of small RCTs, the key step is determining the amount of borrowing based on the similarity of the outcomes in the controls from the trial and the external data sources. A simple approach for this task uses the empirical Bayesian approach, which maximizes the marginal likelihood (
Wang, Jixian, Tiwari, Ram
openaire   +2 more sources

Gram‐Scale Production of Iron Oxide Rubik‐Cube Nanoparticles: New Tools for the Clinical Translation of Magnetic Hyperthermia and Magnetic Particle Imaging

Advanced Functional Materials, EarlyView.
This work reports the first gram‐scale solvothermal synthesis of ‘Rubik's cube’ nanoparticles—cubic, dendritic multicore structures with tuneable sizes and exceptional magnetic heating performance. Featuring iron oxide single‐domain character, with low coercivity fields, high magnetization, and strong MPI signals, they enable viscosity‐independent ...
Giusy M. R. Rizzo, Niccolò Silvestri, Nabila Jarmouni, Helena Gavilán, Hamza Yakubu, Daniel Arenas‐Esteban, Sara Bals, Paola Parlanti, Mauro Gemmi, Ross Clark Prado, Anna Cristina S. Samia, Verónica Salgueiriño, Teresa Pellegrino   +12 more
wiley   +1 more source

A Design Program For The Linear Equalizer That Minimizes The Mean Square Error

Jurnal Teknologi, 1985
A design program with detailed illustrative example, for the linear equalizer that minimizes the mean square error due to intersymbol interference in its output signal, is presented. The results are evaluated for many types of distortion channels which have been selected from a wide range of common signal distortions.This includes the various ...
openaire   +1 more source

Contact Lens with Moiré Patterns for High‐Precision Eye Tracking

Advanced Functional Materials, EarlyView.
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin, Roman V. Kirtaev, Mikhail S. Mironov, Dmitriy V. Grudinin, Alexander A. Marchenko, Marina M. Chugunova, Valentin R. Solovei, Alexander V. Syuy, Andrey A. Vyshnevyy, Ilya P. Radko, Aleksey V. Arsenin, Valentyn S. Volkov   +11 more
wiley   +1 more source

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

Advanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park, Youngsun Jeon, Seokho Lee, Yeseul Kim, Junsuk Rho   +4 more
wiley   +1 more source

Surface Diffusion in SnTe‐PbTe Monolayer Lateral Heterostructures

Advanced Functional Materials, EarlyView.
The lateral heterostructures between 2D materials often suffer from the interdiffusion at the interfaces. Here, a surface diffusion mechanism is found to be dominating at the interfaces between semiconducting SnTe and PbTe monolayers. Atomically sharp interfaces can be achieved by suppressing this diffusion process. ABSTRACT The construction of complex
Jing‐Rong Ji, Zi'Ang Gao, Shiva Prasad Poudel, Rui‐Qi Cao, Tianzhe Chen, Luxin Li, Chong Liu, Salvador Barraza‐Lopez, Stuart S. P. Parkin, Kai Chang   +9 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source