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Microfluidics-Driven Manufacturing and Multiscale Analytical Characterization of Nanoparticle-Vesicle Hybrids.
Adv Healthc Mater
December 2024
ETH Zürich, Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, 8093, Zürich, Switzerland.
Coating synthetic nanoparticles (NPs) with lipid membranes is a promising approach to enhance the performance of nanomaterials in various biological applications, including therapeutic delivery to target organs. Current methods for achieving this coating often rely on bulk approaches which can result in low efficiency and poor reproducibility. Continuous processes coupled with quality control represent an attractive strategy to manufacture products with consistent attributes and high yields.
View Article and Find Full Text PDFThe compression and integration of nonlinear optical processes to the nanoscale are expected to have significant implications for quantum optics, biology, and medicine. In this work, a composite metasurface consisting of a hollow-bow-tie-shaped metal metasurface and a patterned amorphous silicon metasurface is proposed. An external terahertz (THz) electric field enhanced by the hollow-bow-tie structure is employed to break the centrosymmetry, which allows the generation of optical second harmonic.
View Article and Find Full Text PDFGraphene Monolayer Nanomesh Structures and Their Applications in Electromagnetic Energy Harvesting for Solving the Matching Conundrum of Rectennas.
Nanomaterials (Basel)
September 2024
Department of Science and Engineering of Matter, Environment and Urban Planning, Marche Polytechnic University, Via Brecce Bianche, 60131 Ancona, Italy.
Article Synopsis
- * Extensive measurements on a single chip help to evaluate the electrical properties of these nanomesh structures, which are crucial for energy harvesting applications.
- * The triangle nanomesh structure outperforms the others with excellent characteristics, including a 420 Ω differential resistance, responsivity over 10 V/W, and a low noise equivalent power of 847 pW/√Hz at 0 V.
Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach.
ACS EST Air
September 2024
Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
An accurate understanding of uncertainty is needed to properly interpret methane emission estimates from upstream oil and gas sources in a variety of contexts, from component-level measurements to yearly jurisdiction-wide inventories. To characterize measurement uncertainty, we examine controlled release (CR) data from five different technology providers including quantitative gas imaging (QOGI), tunable diode laser-absorption spectroscopy (TDLAS); and airborne near-infrared hyperspectral (NIR HS) imaging. We introduce a novel empirical method to develop probability distributions of measurements given a true emission rate using the CR data.
View Article and Find Full Text PDFCombination of machine learning algorithms with natural language processing may increase the probability of bacteremia detection in the emergency department: A retrospective, big-data analysis of 94,482 patients.
Digit Health
September 2024
The Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Background: Prompt diagnosis of bacteremia in the emergency department (ED) is of utmost importance. Nevertheless, the average time to first clinical laboratory finding range from 1 to 3 days. Alongside a myriad of scoring systems for occult bacteremia prediction, efforts for applying artificial intelligence (AI) in this realm are still preliminary.
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