Results 1 to 10 of about 1,709,190 (338)
A dataset of a proxy variable for the poultry trade flows in China
Measurement(s) poultry trade flows Technology Type(s) poultry food product Factor Type(s) poultry product • poultry consumption Sample Characteristic - Organism poultry Sample Characteristic - Environment poultry food product Sample Characteristic ...
Lingcai Kong+5 more
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Statistical physics of power fluctuations in mode locked lasers
We present an analysis of the power fluctuations in the statistical steady state of a passively mode locked laser. We use statistical light-mode theory to map this problem to that of fluctuations in a reference equilibrium statistical physics problem ...
C. W. Gardiner+4 more
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The ground states of hidden-charm tetraquarks and their radial excitations
Inspired by the great progress in the observations of charmonium-like states in recent years, we perform a systematic analysis about the ground states and the first radially excited states of $$qc\bar{q}\bar{c}$$ q c q ¯ c ¯ (q = u/d and s) tetraquark ...
Guo-Liang Yu+5 more
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Propylene carbonate (PC) has several advantages, including a high dielectric constant, high resistivity, and excellent environmental adaptability, making it a promising candidate as a novel energy storage medium for pulse forming lines (PFL).
Qingheng Lu+8 more
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Quantum-Matter Heterostructures
Combining the power and possibilities of heterostructure engineering with the collective and emergent properties of quantum materials, quantum-matter heterostructures open a new arena of solid-state physics.
Boschker, Hans, Mannhart, Jochen
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Microscopic nature of the photon strength function: stable and unstable Ni and Sn isotopes
The pygmy-dipole resonances and photon strength functions in stable and unstable Ni and Sn isotopes are calculated within the microscopic self-consistent version of the Extended Theory of Finite Fermi Systems that includes the QRPA and phonon coupling ...
Achakovskiy Oleg+5 more
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Physics-guided Deep Learning for Power System State Estimation
In the past decade, dramatic progress has been made in the field of machine learning. This paper explores the possibility of applying deep learning in power system state estimation.
Lei Wang, Qun Zhou, Shuangshuang Jin
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Celebrating the Physics in Geophysics
As 2005, the International Year of Physics, comes to an end, two physicists working primarily in geophysical research reflect on how geophysics is not an applied physics.
Anderson+4 more
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In this paper, an alternating segment Crank–Nicolson (ASC-N) parallel difference scheme is proposed for the time fractional sub-diffusion equation, which consists of the classical Crank–Nicolson scheme, four kinds of Saul’yev asymmetric schemes, and ...
Lifei Wu, Xiaozhong Yang, Yanhua Cao
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Production of overdense plasmas by launching 2,45 GHz electron cyclotron waves in a helical device
For production of low temperature plasmas with low collisionality, 2.45GHz microwave power up to 20kW is injected perpendicularly to the toroidal field at very low toroidal field BtComment: 12th International Congress on Plasma Physics, 25-29 October ...
Group, Chs+7 more
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