Results 111 to 120 of about 24,085 (261)
A root‐inspired microneedle array patch uses lattice‐based mechanical interlocking to unite rigid microneedles with a flexible substrate. The interlocked rigid–soft architecture improves interfacial bonding, supports stable adhesion on curved and wet tissues under dynamic motion, and provides a versatile platform for robust biointerfacing and future ...
Jongchan Lee +9 more
wiley +1 more source
The advent of the information age has notably amplified the importance of security. Unfortunately security considerations still widely occur as an afterthought. For many companies, security is not a requirement to conduct business and is therefore readily neglected.
openaire +4 more sources
AM symbiosis induces GhWAK13 to promote fungal colonization. GhNTF3 negatively regulates symbiosis by promoting SA biosynthesis. GhWAK13 sequesters GhNTF3 at the membrane, limiting its nuclear translocation and relieving SA‐mediated suppression. Under Verticillium stress, GhNTF3 enters the nucleus and interacts with GhJAZ6 to activate SA signaling ...
Shuangjie Jia +10 more
wiley +1 more source
Designing Tissue Function Through Embedded Bioprinting Architectures
Embedded bioprinting enables soft, cell‐dense constructs to be fabricated within supporting bath environments. This review introduces a function‐guided framework linking target tissue functions to architectural requirements, supporting bath selection, bioink design, printing dynamics, and validation assays.
Qi Li +4 more
wiley +1 more source
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda +3 more
wiley +1 more source
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source

