Results 281 to 290 of about 1,470,980 (360)

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

PENGARUH FAKTOR WORKING CAPITAL TERHADAP FIRM PERFORMANCE DIMODERASI OLEH NET LIQUID BALANCE

Agustina Wijaya, Elsa Imelda
openalex   +2 more sources

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

Advanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song, Evelyn Kubacki, Alexander Berger, Markus Retsch   +3 more
wiley   +1 more source

<p>The Impact of the Uses of Humanoids Robots <span>(HR) </span>on Firms Performance</p>

Mario Arturo Ruiz Estrada
openalex   +1 more source

Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4

Advanced Functional Materials, EarlyView.
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen, Hung Wei Shiu, Yu‐Xun Chen, Erdembayalag Batsaikhan, Yu‐Ling Lai, Su Ling Cheng, Tohru Araki, Jyh‐Fu Lee, Michitoshi Hayashi, Yao‐Jane Hsu   +9 more
wiley   +1 more source

Optimizing Board Composition: An Empirical Analysis of Size, Director’s Independence and Non-Executive Directors’ Impact on Firm Performance in Oman

Mohamed Ahmed Atiea Elabib
openalex   +2 more sources

Does corporate social responsibility impact firms' innovation capacity? The indirect link between environmental & social governance implementation and innovation performance

, 2020
David C. Broadstock, Roman Matoušek, Martin Meyer, Nickolaos Tzeremes   +3 more
openalex   +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

Effect of COVID-19 on the Financial Performance of Agro-Processing Firms and its Implication on Food Security in Kenya

Hannah Kiaritha
openalex   +2 more sources