Results 101 to 110 of about 18,455,975 (322)
Advanced Functional Materials, EarlyView.There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato +9 more
wiley +1 more source
IEEE Access, 2020 The evolution of the fifth-generation (5G)/ beyond 5G (B5G) mobile communication networks greatly depends on the seamless integration of terrestrial and sky networks over advanced multi-tier heterogeneous network (HetNet) infrastructure.
Pengshan Ji +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A miniaturized mechano‐acoustic sensor is developed using an electrospun PVDF nanomesh as the diaphragm in a capacitive sensor structure. Unlike conventional nanomesh‐based sensors, it achieves high linear sensitivity, a broad and flat frequency response, and a compact form factor.
Jeng‐Hun Lee +8 more
wiley +1 more source
Nanjing Hangkong Hangtian Daxue XuebaoSince future universal access transceiver 2 （UAT2） mode automatic dependent surveillance-broadcast （ADS-B） devices for low-altitude aircraft surveillance would face overlapping messages in high-traffic scenarios， this study combines probabilistic ...
TANG Xinmin, FENG Wenyuan, GUAN Xiangmin
doaj +1 more source
Logarithmic Lévy process directed by Poisson subordinator
Modern Stochastics: Theory and Applications, 2019 Let $\{L(t),t\ge 0\}$ be a Lévy process with representative random variable $L(1)$ defined by the infinitely divisible logarithmic series distribution. We study here the transition probability and Lévy measure of this process.
Penka Mayster, Assen Tchorbadjieff
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami
Advanced Functional Materials, EarlyView.A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding +7 more
wiley +1 more source
An integer GARCH model for a Poisson process with time-varying zero-inflation. [PDF]
PLoS One, 2023 Ratnayake IP, Samaranayake VA.
europepmc +1 more source
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
Advanced Functional Materials, EarlyView.To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Detecting clusters of transcription factors based on a nonhomogeneous poisson process model. [PDF]
BMC Bioinformatics, 2022 Wu X, Liu S, Liang G.
europepmc +1 more source