572 research outputs found
Construction and validation of gene signature-based prognostic models for patients with urological cancers
1D simulation of Electron acceleration by Inertial Alfven wave pulse
第3回極域科学シンポジウム/第36回極域宙空圏シンポジウム 11月27日(火) 国立極地研究所 2階大会議
Geometric effects of a quarter of corrugated torus
In the spirit of the thin-layer quantization scheme, we give the effective
Shr\"{o}dinger equation for a particle confined to a corrugated torus, in which
the geometric potential is substantially changed by corrugation. We find the
attractive wells reconstructed by the corrugation not being at identical
depths, which is strikingly different from that of a corrugated nanotube,
especially in the inner side of the torus. By numerically calculating the
transmission probability, we find that the resonant tunneling peaks and the
transmission gaps are merged and broadened by the corrugation of the inner side
of torus. These results show that the quarter corrugated torus can be used not
only to connect two tubes with different radiuses in different directions, but
also to filter the particles with particular incident~energies.Comment: 7 pages, 8 figure
A UPnP-based Decentralized Service Discovery Improved Algorithm
The current UPnP service discovery algorithm in the presence of the service can cause severe drops in the digital home network. The reason is that the root devices instantly send delay sending response messages and randomly selected independent response message congestion through simulation analysis. To solve these problems, an improved UPnP service discovery algorithm was given. Considering the length of the message and the bandwidth of the router, derived by testing the router the packet loss rate can be reduce
Cell cycle progression score as a predictive biomarker for overall survival in patients with adrenocortical carcinoma
Atomistic simulations of thermodynamic properties of liquid gallium from first principles
In the research of condensed matter, atomistic dynamic simulations play a
crucial role, particularly in revealing dynamic processes, phase transitions
and thermodynamic statistics macroscopic physical properties in systems such as
solids and liquids. For a long time, simulating complex and disordered liquids
has been a challenge compared to ordered crystalline structures. The primary
reasons for this challenge are the lack of precise force field functions and
the neglect of nuclear quantum effects. To overcome these two limits in
simulation of liquids, we use a deep potential (DP) with quantum thermal bath
(QTB) approach. DP is a machine learning model are sampled from density
functional theory and able to do large-scale atomic simulations with its
precision. QTB is a method which incorporates nuclear quantum effects by
quantum fluctuation dissipation. The application of this first principles
approach enable us to successfully describe the phase transition processes in
solid and liquid Gallium (Ga) as well as the associated dynamic phenomena. More
importantly, we obtain the thermodynamic properties of liquid Ga, such as
internal energy, specific heat, enthalpy change, entropy and Gibbs free energy,
and these results align remarkably well with experiments. Our research has
opened up a new paradigm for the study of dynamics and thermodynamics in
liquids, amorphous materials, and other disordered systems, providing valuable
insights and references for future investigations.Comment: 7 pages, 11 figures for maintext; 6pages, 8 figures for supplementary
material
- …