Results 81 to 90 of about 50,068 (195)
Microengineered Gradient Hydrogels for Mechanobiology
Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong +4 more
wiley +1 more source
A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen +9 more
wiley +1 more source
This review examines how in vitro electrical and mechanical stimulation modulates wound healing in fibroblasts and keratinocytes. Analyzing over 560 experimental data points, we relate stimulation parameters to proliferation and migration outcomes, evaluate platform designs, and highlight the need for multi‐parameter optimization to advance targeted ...
Matthew K. Burgess +3 more
wiley +1 more source
Discrete stochastic maximal regularity. [PDF]
Evangelopoulos-Ntemiris F, Veraar M.
europepmc +1 more source
Recapitulating Endochondral Ossification for Bone Repair: From Development to Engineering Strategy
This review summarizes the developmental basis of endochondral ossification (ECO) and its applications in bone tissue engineering (BTE). It first outlines the key biological processes and signaling pathways underlying ECO, then discusses biomaterial‐based engineering strategies derived from these principles, and finally highlights future directions for
Yiqi Su +8 more
wiley +1 more source
Explaining unforeseen congruence relationships between PEND and POND partitions via an Atkin-Lehner involution. [PDF]
Sellers JA, Smoot NA.
europepmc +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Entropy, Periodicity and the Probability of Primality. [PDF]
Croll GJ.
europepmc +1 more source

