Results 151 to 160 of about 660,831 (348)

Performance Analysis of Conventional, Hybrid and Optimal PV Array Configurations of Partially Shaded Modules

, 2019
V. Bala Raju, Ch. Chengaiah
openalex   +1 more source

Configuration study for a 30 GHz monolithic receive array, volume 1 [PDF]

Gregorian, Cassegrain, and single reflector systems were analyzed in configuration studies for communications satellite receive antennas. Parametric design and performance curves were generated.
Cleaveland, B., Edward, B., Gotkis, S., Hesserbacker, G., Loh, J., Mitchell, B., Nester, W. H.   +6 more
core   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

Blind Interference Suppression with Uncalibrated Phased-Array Processing

Sensors
As the number of devices using wireless communications increases, the amount of usable radio frequency spectrum becomes increasingly congested. As a result, the need for robust, adaptive communications to improve spectral efficiency and ensure reliable ...
Lauren O. Lusk, Joseph D. Gaeddert
doaj   +1 more source

Non-uniform 1D antenna array optimal configuration via extremum seeking control

, 2016
Mosa A. Abdesalam, Raul Ordonez
openalex   +2 more sources

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

Signal Amplification in a Microchannel from Redox Cycling with Varied Electroactive Configurations of an Individually Addressable Microband Electrode Array

, 2010
Penny M. Lewis, Leah B. Sheridan, Robert E. Gawley, Ingrid Fritsch   +3 more
openalex   +2 more sources

Impact of Uneven Shading by Neighboring Buildings and Clouds on the Conventional and Hybrid Configurations of Roof-Top PV Arrays [PDF]

, 2021
Priya Ranjan Satpathy, Thanikanti Sudhakar Babu, Sathish Kumar Shanmugam, Lakshman Naik Popavath, Hassan Haes Alhelou   +4 more
openalex   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source

The Design of Radio Telescope Array Configurations using Multiobjective Optimization: Imaging Performance versus Cable Length [PDF]

, 2004
Babak E. Cohanim, Jacqueline N. Hewitt, Olivier de Weck   +2 more
openalex   +1 more source