Results 181 to 190 of about 292,761 (269)
Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling
Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang +3 more
wiley +1 more source
Specialized structure and function of the apical extracellular matrix at sense organs. [PDF]
Fung W, Kolotuev I, Heiman MG.
europepmc +1 more source
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan +4 more
wiley +1 more source
This study introduces an in situ electrostatic charge‐assisted wetting method to enhance the interfacial strength of aerosol jet printing. By depositing negative charges on the substrate, the technique improves ink wetting and interfacial properties, achieving up to 85.6% higher interfacial shear strength.
Ao Li +5 more
wiley +1 more source
This study presents a laser‐assisted glass‐frit encapsulation method for perovskite solar cells, comparing air‐, nitrogen‐, and CO2‐filled cavities. Results show that excluding oxygen and moisture significantly improves stability under illumination. The findings reveal the critical role of trapped gases in degradation, providing a pathway to durable ...
Marta Pereira +5 more
wiley +1 more source
Neurocognitive Outcome and Compensating Possibilities in Children and Adolescents Treated for Acute Lymphoblastic Leukemia With Chemotherapy Only. [PDF]
Lofstad GE +4 more
europepmc +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Journal of Northeast Texas Archaeology, Volume 37 [PDF]
Perttula, Timothy K. +2 more
core +4 more sources
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
Temperature‐Tunable Cholesteric Liquid Crystal Optical Combiners for Extended Reality Applications
Recent advancements in extended reality highlight their potential to enhance traditional displays like liquid crystal displays and organic light‐emitting diode screens. This article introduces an innovative cholesteric liquid crystal‐based optical combiner for head‐mounted displays, enabling seamless transitions between augmented reality, virtual ...
Yuanjie Xia +6 more
wiley +1 more source

