Results 211 to 220 of about 384,928 (302)

Amygdala volume is not associated with MRI-based markers of early cardiovascular disease. [PDF]

Insights Imaging
Schlaeger S, Lorbeer R, Bamberg F, Schlett CL, Rospleszcz S, Beller E, Galie F, Heier M, Ladwig KH, Ricke J, Peters A, Ertl-Wagner BB, Stoecklein S, Grosu S.   +13 more
europepmc   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

What imaging modalities should be considered in suspected acute acalculous cholecystitis? A review of the evidence. [PDF]

Insights Imaging
Phipps BS, Kavnoudias H, Di Muzio B.
europepmc   +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

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

Idiopathic Hypertrophic Pachymeningitis with Elevated Anti-Thyroglobulin Antibodies-A Case Report. [PDF]

Reports (MDPI)
Pobudejski P, Toś M, Zawiślak-Fornagiel K, Siuda J.   +3 more
europepmc   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source

Hydrophobically Modified Polymer-Surfactant Self-Assembly System: A Study of a Self-Thickening Diverting Acid Solution. [PDF]

ACS Omega
Zhang Y, Wang J, Quan H, Yi L, Pei Y, Xu C.   +5 more
europepmc   +1 more source