Results 261 to 270 of about 6,234,642 (356)

Antitumoral Efficacy of AuNRs‐Laden ECFCs In Vitro and In Vivo: Decoding the Heat and Rays Combo Treatment in Breast Cancer and Melanoma Cells

Advanced Healthcare Materials, EarlyView.
Endothelial Colony Forming Cells (ECFCs) acted as cellular cyborgs, stealthily transporting gold nanorods (AuNRs) into tumors to enable targeted near‐infrared (NIR) hyperthermia combined with radiotherapy. This approach triggers ferroptosis in melanoma and inhibits autophagy in breast cancer, revealing a tumor‐specific response to nanomaterial‐assisted
Cecilia Anceschi, Francesca Scavone, Paolo Armanetti, Luca Menichetti, Claudia Catarinicchia, Claudia Borri, Fulvio Ratto, Filippo Micheletti, Noemi Formica, Jessica Ruzzolini, Elena Frediani, Anastasia Chillà, Francesca Margheri, Mirko Severi, Rita Traversi, Patrizia Nardini, Daniele Guasti, Mario Del Rosso, Tommaso Del Rosso, Lisa Giovanelli, Cinzia Talamonti, Monica Mangoni, Isacco Desideri, Silvia Burchielli, Fabiola Pajar, Gabriella Fibbi, Anna Laurenzana   +26 more
wiley   +1 more source

An Enhanced Starfish Optimization Algorithm via Joint Strategy and Its Application in Ultra-Wideband Indoor Positioning. [PDF]

Biomimetics (Basel)
Liu Y, Fu M, Liu Z, Liu H, Peng W, Li L, Yang Y, Zhou X, Jia C.   +8 more
europepmc   +1 more source

On the convergence of multiple excitation sources to a two-tone excitation class: Implications for a global optimum excitation in active sensing for structural health monitoring

, 2008
Colin C. Olson, Michael D. Todd
openalex   +1 more source

Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications

Advanced Materials, EarlyView.
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, Seda Keskin   +3 more
wiley   +1 more source

A thermodynamic inspired AI based search algorithm for solving ordinary differential equations. [PDF]

Sci Rep
Murugesh V, Priyadharshini M, Mahesh TR, Esleman EA.   +3 more
europepmc   +1 more source

Multifunctional Neural Probes Enable Bidirectional Electrical, Optical, and Chemical Recording and Stimulation In Vivo

Advanced Materials, EarlyView.
Convergence drawing is used to create flexible, microscale, multifunctional fiber‐based neural probes. Optimized materials selection enables individual devices to perform neural recording, electrical stimulation, optogenetics, fiber photometry, fluid delivery, and voltammetric neurotransmitter detection in rodents.
Nicolette Driscoll, Marc‐Joseph Antonini, Taylor M. Cannon, Pema Maretich, Greatness Olaitan, Valerie Doan Phi Van, Keisuke Nagao, Atharva Sahasrabudhe, Emmanuel Vargas Paniagua, Ethan J. Frey, Ye Ji Kim, Sydney Hunt, Melissa Hummel, Sanju Mupparaju, Alan Jasanoff, B. Jill Venton, Polina Anikeeva   +16 more
wiley   +1 more source

Mine fire emergency path planning based on hybrid strategy improved WOA algorithm. [PDF]

PLoS One
Qi Y, Yu K, Li X, Wang W, Cui X, Bai C.
europepmc   +1 more source

Influence of local and remote sea surface temperatures on precipitation as inferred from changes in boundary‐layer moisture convergence and moist thermodynamics over global oceans

, 2008
Y. C. Sud, G. K. Walker, Yaping Zhou, W. K.‐M. Lau   +3 more
openalex   +2 more sources

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source