Results 41 to 50 of about 78,885 (346)

Quantitative Iron Measurements in the Basal Ganglia of NBIA Patients Using QSM: Insights From a Tertiary Center

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurodegeneration with brain iron accumulation (NBIA) comprises rare genetic disorders characterized by predominantly extrapyramidal symptoms and iron deposition in the basal ganglia. Conventional magnetic resonance imaging (MRI) detects qualitative changes but cannot accurately quantify iron accumulation. Quantitative susceptibility
Özge Uygun   +19 more
wiley   +1 more source

Ionic Liquid‐Filled Polyamide Microcapsules Obtained by Interfacial Polymerization

open access: yesAdvanced Materials Interfaces
Microencapsulated ionic liquids (ILs) have a wide range of exciting properties. They can be synthesized by a variety of methods, of which interfacial polymerization represents a very simple, fast, and reliable production process, but the number of ...
Robin Scholl, Dominic Freudenmann
doaj   +1 more source

Attitude and propellant flow control system and method Patent [PDF]

open access: yes, 1962
Attitude and propellant flow control system for liquid propellant rocket ...
Escher, W. J. D.
core   +1 more source

Small aircraft propeller noise with ducted propeller [PDF]

open access: yes4th AIAA/CEAS Aeroacoustics Conference, 1998
The purpose of this paper was to document the results of initial testing of various configurations of a ducted propeller apparatus. The apparatus was designed based on a combination of acoustic principles and a desire to be able to apply the knowledge gained to a practical application such as an ultralight aircraft in an effort to reduce the overall ...
R. Duane Oleson   +2 more
openaire   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

New Generation of High-Energy Chemical Propellants Based on Nano-Components

open access: yesEurasian Chemico-Technological Journal, 2016
A possibility of designing propellant, in which the energy of intermolecular interaction in addition to chemical energy can be used, is considered. Application fine nano-components (clusters) in similar propellants is supposed. The method, which is based
V. A. Babuk, A. D. Zelikov
doaj   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

open access: yesAdvanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee   +3 more
wiley   +1 more source

Rocket injector head [PDF]

open access: yes, 1968
A high number of liquid oxygen and gaseous hydrogen orifices per unit area are provided in an injector head designed to give intimate mixing and more thorough combustion.
Green, C. W., Jr.
core   +1 more source

Propelled microprobes in turbulence [PDF]

open access: yesPhysical Review Fluids, 2018
12 pages, 7 figures ...
Calzavarini, E.   +3 more
openaire   +3 more sources

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

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