Results 121 to 130 of about 143,234 (261)

On the Equivalence of Two-Point Basis-Set Extrapolations and Robust Parameterization for Coupled-Cluster and Double-Hybrid DFT Methods. [PDF]

J Phys Chem A
Iron MA.
europepmc   +1 more source

Sulfation‐Tunable Peptide‐Glycosaminoglycan Hydrogels for Hematopoietic Stem and Progenitor Cell Expansion

Advanced Functional Materials, EarlyView.
Co‐assembly of rationally designed glycosaminoglycan‐binding peptides with sulfated glycosaminoglycans yields supramolecular hydrogels with tunable mechanics and matrix‐mediated cytokine retention. The glycosaminoglycans thereby act as cofactors, driving a coil‐to‐β‐sheet transition that triggers gelation.
Shirel Veretnik, Prannoy Seth, Maximilian Fusenig, Jens Friedrichs, Nicole Fertala, Passant Atallah, Uwe Freudenberg, Ayala Lampel, Carsten Werner   +8 more
wiley   +1 more source

Benchmarking Nanoscale Noncovalent Complexes at the Two-Hundred-Atom Scale with Converged Local CCSD(T). [PDF]

J Phys Chem A
Lao KU.
europepmc   +1 more source

Reconfigurable Au Nanoparticle Monolayers on Regenerated Cellulose Hydrogels: Highly Sensitive SERS Detection of Polystyrene Micro/Nanoplastics With Interpretable Deep Learning

Advanced Functional Materials, EarlyView.
A regenerated cellulose (RC) hydrogel‐based SERS substrate integrating a Marangoni‐transferred gold nanoparticle self‐assembled monolayer (Au‐SAM) is fabricated. Reswelling‐induced hotspot formation enhances polystyrene micro/nanoplastics (PS MNPs) detection in complex matrices, providing reproducible, high‐throughput SERS signals across diverse ...
Youngho Jeon, Yu‐Jin Jeon, Suji Lee, Jeseong Kim, Dae‐Hyun Jung, Jungmok You   +5 more
wiley   +1 more source

Efficient quantum algorithm for the design of complex materials: quantum circuit learning. [PDF]

Sci Rep
Osaki S, Hoshitani K, Nakamura M, Kimura K, Yamamoto T.   +4 more
europepmc   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Evaluation of extrapolation chamber response for surface and buildup dose assessment in radiotherapy photon beams using Monte Carlo simulations. [PDF]

Med Phys
Reis CQM, Muir BR, Nicolucci P, Rogers DWO.   +3 more
europepmc   +1 more source

A Novel Perfused Full‐Thickness Human Skin Microphysiological System for Modeling Injury, Regeneration, Tumor Pathophysiology, and Therapeutics Development

Advanced Healthcare Materials, EarlyView.
What if human skin could remain fully alive and functional outside the body for weeks? A New Alternative Method (NAM) based on a vascularized full‐thickness skin microphysiological system achieves precisely this, preserving native vasculature, resident immunity, and metabolic activity for up to three weeks, while faithfully recapitulating radiation ...
Yusuf Surucu, Hamid Malekzadeh, Alexa Rivera Del Rio Hernandez, Naresh Mahajan, Ethan Banks, Dayyan Ur Rahman, José A. Arellano, Katherine S. Yang, Alexey Altman, G.V. Naveen Kumar, Matthew L. Steinhauser, Jeffrey A. Gusenoff, J. Peter Rubin, Asim Ejaz   +13 more
wiley   +1 more source

Beyond temperature: Why climate adaptation in agriculture needs a systems approach. [PDF]

Proc Natl Acad Sci U S A
Basso B.
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source