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Toplam kayıt 7, listelenen: 1-7
Updated database, new empirical and theoretical values of average L shell fluorescence yields of elements with 23 <= Z <= 96
(Pergamon-Elsevier Science Ltd, 2020)
In this paper, a summary of existing experimental data published in the period of time between 1954 and 2015 is reviewed and presented in a tabular form for average L shell fluorescence yields taken from different sources. ...
Interline fuel cell (I-FC) system with dual-functional control capability
(Pergamon-Elsevier Science Ltd, 2020)
In this paper, a new system concept is presented for the grid connection of fuel cells. In conventional grid-connected systems, fuel cells ensure the generated power into a single electrical feeder and control the ...
Phylogeny of the most species-rich freshwater bivalve family (Bivalvia: Unionida: Unionidae): Defining modern subfamilies and tribes
(Academic Press Inc Elsevier Science, 2017)
Freshwater mussels of the order Unionida are key elements of freshwater habitats and are responsible for important ecological functions and services. Unfortunately, these bivalves are among the most threatened freshwater ...
Bandwidth Improvement in Bow-Tie Microstrip Antennas: The Effect of Substrate Type and Design Dimensions
(Mdpi, 2020)
In this work, the impact of substrate type and design dimensions on bow-tie microstrip antenna performance and bandwidth improvement is presented both numerically and experimentally at 4-8 GHz. The finite integration ...
Mutual Coupling Reduction of Cross-Dipole Antenna for Base Stations by Using a Neural Network Approach
(Mdpi, 2020)
In this manuscript, a resonator layer is presented for the purpose of reducing the mutual coupling effect between each antenna element of a cross dipole antenna. In design processes, an artificial neural network approach ...
iBioProVis: interactive visualization and analysis of compound bioactivity space
(NLM (Medline), 2020)
iBioProVis is an interactive tool for visual analysis of the compound bioactivity space in the context of target proteins, drugs and drug candidate compounds. iBioProVis tool takes target protein identifiers and, optionally, ...
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations
(Royal Soc Chemistry, 2020)
The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since conventional screening procedures are expensive and time consuming, ...