Results 21 to 30 of about 13,100,253 (279)
Neurobiology of Disease, 2021 Emerging studies implicate energy dysregulation as an underlying trigger for Parkinson's disease (PD), suggesting that a better understanding of the molecular pathways governing energy homeostasis could help elucidate therapeutic targets for the disease.
Liting Hang +8 more
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Energies, 2020 Turbomachinery has been widely used in the energy systems as an energy conversion device, such as gas turbine and aero-engine. The losses in the turbomachinery, especially in the multi-stage conditions, restrict the energy conversion efficiency and ...
Jiayu Wang, Jun Hu, Chao Jiang, Jun Li
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Compositional analysis of InAs-GaAs-GaSb heterostructures by low-loss electron energy loss spectroscopy [PDF]
, 2013 As an alternative to Core-Loss Electron Energy Loss Spectroscopy, Low-Loss EELS is suitable for compositional analysis of complex heterostructures, such as the InAs-GaAs-GaSb system, since in this energy range the edges corresponding to these elements ...
Taboada, Alfonso G. +12 more
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Electronic excitation produced by proton moving inside polystyrene using Drude model
مجلة علوم ذي قار, 2019 The electronic response of target is characterized by its energy-loss function (ELF) , which it described by several models that fit the available experimental data (at zero momentum transfer), but use different approaches to obtain the Bethe surface so
Sahar Mezher
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Deconvolution of the energy loss function of the KATRIN experiment [PDF]
Astroparticle Physics, 2017 18 pages, 8 figures, accepted for publication in Astroparticle ...
Hannen, V. +4 more
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Inelastic mean free path of swift electrons and stopping power in Ta2O5
Iraqi Journal of Physics, 2018 Energy Loss Function (ELF) of 2 5 Ta O derived from optical limit and extended to the total part of momentum and their energy excitation region ELF plays an important function in calculating energy loss of electron in materials.
Ishraq Ahmed Shakir
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IET Electric Power Applications, 2022 Convolutional neural networks (CNN) have shown great potentials and have been proven to be an effective tool for some image‐based deep learning tasks in the field of computational electromagnetism (CEM).
Ruohan Gong, Zuqi Tang
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Are analysts' loss functions asymmetric? [PDF]
, 2012 Despite displaying a statistically significant optimism bias, analysts' earnings forecasts are an important input to investors’ valuation models. Understanding the possible reasons for any bias is important if information is to be extracted from earnings
Clatworthy, Mark +2 more
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Energies, 2023 Due to the advantages of fewer energy conversion stages and a simple structure, direct current (DC) microgrids are being increasingly studied and applied.
Yajie Jiang, Siyuan Cheng, Haoze Wang
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Energy Loss of Hydrogen- and Helium-Ion Beams in DNA: Calculations Based on a Realistic Energy-Loss Function of the Target [PDF]
Radiation Research, 2011 We have calculated the electronic energy loss of proton and α-particle beams in dry DNA using the dielectric formalism. The electronic response of DNA is described by the MELF-GOS model, in which the outer electron excitations of the target are accounted for by a linear combination of Mermin-type energy-loss functions that accurately matches the ...
Abril, I. +4 more
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