Results 151 to 160 of about 823,479 (294)

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Cortical fold geometry modulates transcranial magnetic stimulation electric field strength and peak displacement. [PDF]

Sci Rep
Wang J, Zhai J, Wang Y, Lin J, Pan D, Li L.   +5 more
europepmc   +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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

A Comparative Analysis of Explainable Artificial Intelligence Models for Electric Field Strength Prediction over Eight European Cities. [PDF]

Sensors (Basel)
Kiouvrekis Y, Givisis I, Panagiotakopoulos T, Tsilikas I, Ploussi A, Spyratou E, Efstathopoulos EP.   +6 more
europepmc   +1 more source

Distortion-free measurement of electric field strength with a MEMS sensor. [PDF]

Nat Electron, 2018
Kainz A, Steiner H, Schalko J, Jachimowicz A, Kohl F, Stifter M, Beigelbeck R, Keplinger F, Hortschitz W.   +8 more
europepmc   +1 more source

Rapid Sintering of Porous Organic Polymer Powders Into Mechanically Strong Monoliths for Efficient CO2 Capture

Advanced Functional Materials, EarlyView.
Spark plasma sintering enables rapid processing of porous organic polymer (POP) from fine powders to a freestanding and mechanically robust monolith. The sintering process retains the CO2 adsorption capacity and CO2/N2 selectivity, making the monolith more suitable as a solid sorbent for practical carbon capture applications.
Duan Li, Tianhui Shi, Sirui Ran, Lei Zeng, Chao Xu   +4 more
wiley   +1 more source

Individuals with psychosis receive less electric field strength during transcranial direct current stimulation compared to healthy controls. [PDF]

Schizophrenia (Heidelb)
Kazinka R, Choi DS, Opitz A, Lim KO.
europepmc   +1 more source

Parametric optimization of electric field strength for cancer electrochemotherapy on a chip-based model. [PDF]

Theranostics, 2018
Zhao D, Wu M, Huang D, Liang Z, Wei Z, Li Z.   +5 more
europepmc   +1 more source