Results 221 to 230 of about 6,498 (311)

Hypercapnia impacts neural drive and timing of diaphragm neuromotor control.

J Neurophysiol
Khurram OU, Kantor-Gerber MJ, Mantilla CB, Sieck GC.   +3 more
europepmc   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

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

Synthesis, characterization and evaluation of new alternative ruthenium complex for dye sensitized solar cells. [PDF]

Sci Rep
Fetouh HA, Dissouky AE, Salem HA, Fathy M, Anis B, Hady Kashyout AE.   +5 more
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

HIV seroconversion among female sex workers: retrospective cohort study from a large-scale HIV prevention and sexual and reproductive health program in Tanzania. [PDF]

Front Reprod Health
Mbita G, Mwanamsangu A, Komba AN, Casalini C, Luponya M, Curran K, Christensen A, Kim YM, Reed J, Makyao N, Kategile U, Conserve DF, van Roosmalen J, van den Akker T.   +13 more
europepmc   +1 more source

Brain Connectivity Based Prediction of Alzheimer's Disease in Patients With Mild Cognitive Impairment Based on Multi-Modal Images. [PDF]

Front Hum Neurosci, 2019
Zheng W, Yao Z, Li Y, Zhang Y, Hu B, Wu D, Alzheimer’s Disease Neuroimaging Initiative.   +6 more
europepmc   +1 more source

Multiscale Structuring of Hydroxyapatite via Two‐Photon Lithography of Nanocomposites

Advanced Functional Materials, EarlyView.
Hydroxyapatite scaffolds are of great interest in bone tissue engineering applications, ranging from 3D cell culture to regenerative medicine. Using two‐photon lithography of a transparent nanocomposite, hydroxyapatite microstructures with features ranging from submicron to centimeter‐scale are fabricated. This allows to mimic the natural bone geometry,
Leonhard Hambitzer, Jan Mathis Hornbostel, Richard Prediger, Sebastian Kluck, Michael Daub, Cornelia Lee‐Thedieck, Frederik Kotz‐Helmer   +6 more
wiley   +1 more source

EEG oscillations during word processing predict MCI conversion to Alzheimer's disease. [PDF]

Neuroimage Clin, 2018
Mazaheri A, Segaert K, Olichney J, Yang JC, Niu YQ, Shapiro K, Bowman H.   +6 more
europepmc   +1 more source