Results 221 to 230 of about 1,265,278 (300)

Impact of visual attention training on visual control and 3-point field goal percentage in semi-professional basketball players. [PDF]

Front Psychol
Zhang X, Li W, Zhao C.
europepmc   +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

Pilot comparison of monocular and binocular modes of virtual reality field testing in strabismus. [PDF]

Sci Rep
Liu J, Saleem Z, Wang B, Go M, Cheung NL, White QW, Ferreira A, Naithani R, El-Dairi M, Freedman SF.   +9 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

Ultra-high field ³¹P functional magnetic resonance spectroscopy reveals NAD⁺ dynamics in brain energy metabolism during visual stimulation. [PDF]

J Cereb Blood Flow Metab
Kaiser A, Anvari Vind F, Duarte JM, Jelescu I, Lin Y, Yu X, Widmaier M, Wenz D, Xin L.   +8 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

Objective perimetry and diabetic retinopathy progression: a 10-year follow-up study. [PDF]

Front Endocrinol (Lausanne)
Yibekal BT, Rai BB, van Kleef JP, Sabeti F, Rohan EMF, Nolan CJ, Maddess T.   +6 more
europepmc   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Systematic arcminute-scale fixational offsets in patients with early visual cortex damage. [PDF]

J Vis
Clark AM, Kapisthalam S, Cavanaugh MR, Huxlin KR, Poletti M.   +4 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