Results 31 to 40 of about 130,454 (291)

Robust Ruddlesden‐Popper phase Sr3Fe1.3Mo0.5Ni0.2O7‐δ decorated with in‐situ exsolved Ni nanoparticles as an efficient anode for hydrocarbon fueled solid oxide fuel cells

open access: yesSusMat, 2022
A highly efficient Ruddlesden‐Popper structure anode material with a formula of Sr3Fe1.3Mo0.5Ni0.2O7‐δ (RP‐SFMN) has been developed for hydrocarbon fueled solid oxide fuel cells (HF‐SOFC) application.
Xiaoyu Zhang   +8 more
doaj   +1 more source

Combustors with Low Emission Levels for Aero Gas Turbine Engines

open access: yesInternational Journal of Engineering and Management Sciences, 2019
The aircrafts are responsible for emitting several types of pollutants, especially the pollutants in the form of NOX, CO2, CO, UHC, SOX and Particulate Matter PM (smoke/soot).
Noureddine Guellouh   +2 more
doaj   +1 more source

Impact Analysis of Worn Surface Morphology on Adaptive Friction Characteristics of the Slipper Pair in Hydraulic Pump

open access: yesMicromachines, 2023
The hydrostatic bearing slipper pair of the hydraulic pump has a unique adaptive friction characteristic, which has a better friction reduction and anti-wear ability than the general sliding friction pair, and also has a certain recovery effect on the ...
Siyuan Liu   +6 more
doaj   +1 more source

Thermal Wave Scattering and Temperature Concentration around the Opening in Platinum–Rhodium Leaky Plates

open access: yesMetals, 2020
Based on the non-Fourier heat conduction wave model, the thermal wave scattering near the opening in the platinum–rhodium glass fiber leaky plate structure is studied by using complex function method and conformal mapping method, and the general solution
Weibo Jiang   +6 more
doaj   +1 more source

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Data‐driven performance metrics for neural network learning

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri   +2 more
wiley   +1 more source

Alpha tACS on Parieto-Occipital Cortex Mitigates Motion Sickness Based on Multiple Physiological Observation

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering
Approximately one third of the population is prone to motion sickness (MS), which is associated with the dysfunction in the integration of sensory inputs.
Menghui Yang   +8 more
doaj   +1 more source

Influence of the axial fan blade angle on the turbulent swirl flow characteristics [PDF]

open access: yesScientific Technical Review, 2014
The paper presents the investigation of the turbulent swirl flow in a pipe behind the axial fan with adjustable nine blades for the angles of 22°, 26° and 30° for the same rotation number (1500 rpm). Velocities were measured with laser Doppler anemometry
Čantrak Đorđe   +3 more
doaj  

Novel Strain Sensor in Weft-Knitted Textile for Triggering of Functional Electrical Stimulation

open access: yesEngineering Proceedings, 2023
Functional electrical stimulation (FES) aims to improve the gait pattern in case of foot drop of people suffering chronic diseases, e.g., multiple sclerosis.
Bahareh Abtahi   +6 more
doaj   +1 more source

A stepwise emergence of evolution in the RNA world

open access: yesFEBS Letters, EarlyView.
How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley   +1 more source

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