We study a simple deterministic map that leads a fully connected network to Heider balance. The map is realized by an algorithm that updates all links synchronously in a way depending on the state of the entire networ...
The wounded-nucleon and -quark models are compared using d+Au collisions at sNN = 200 GeV. The shape of the wounded-quark emission function seems to be universal for different centralities, in contrast to the wounded-...
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The spectroscopic properties of lead-silicate glass containing $2 \mathrm{~mol}_{2} \mathrm{MoO}_{3}$ and rare earth dopants were investigated in detail. Three glass series were prepared, varying the concentrations of...
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ISBN:
(数字)9798350377323
ISBN:
(纸本)9798350377330
The spectroscopic properties of lead-silicate glass containing $2 \mathrm{~mol}_{2} \mathrm{MoO}_{3}$ and rare earth dopants were investigated in detail. Three glass series were prepared, varying the concentrations of $\mathrm{Pr}, \mathrm{Nd}$, and Er from 0.5 to $1.5 \mathrm{~mol} \%$ each. The addition of MoO
3
was found to have a significant impact on the optical properties of the glass, manifesting in an elevation of the refractive index and a reduction in dispersion [1, 2]. The influence of molybdenum ions and rare earth dopants was examined through absorption, excitation, and luminescence spectra analyses [3]. Luminescence decay times were measured under both ambient conditions and within a temperature range spanning from 10 K to 350 K. Preliminary luminescence data for the glasses at room temperature are illustrated in Fig. 1.
We study fractional Laplace motion (FLM) obtained from subordination of fractional Brownian motion (FBM) to a gamma process in the presence of an external drift that acts on the composite process or of an internal dri...
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We study fractional Laplace motion (FLM) obtained from subordination of fractional Brownian motion (FBM) to a gamma process in the presence of an external drift that acts on the composite process or of an internal drift acting solely on the parental process. We derive the statistical properties of this FLM process and find that the external drift does not influence the mean-squared displacement, whereas the internal drift leads to normal diffusion, dominating at long times in the subdiffusive Hurst exponent regime. We also investigate the intricate properties of the probability density function (PDF), demonstrating that it possesses a central Gaussian region whose expansion in time is influenced by FBM's Hurst exponent. Outside of this region, the PDF follows a non-Gaussian pattern. The kurtosis of this FLM process converges toward the Gaussian limit at long times insensitive to the extreme non-Gaussian tails. Additionally, in the presence of the external drift, the PDF remains symmetric and centered at x=vt. In contrast, for the internal drift this symmetry is broken. The results of our computer simulations are fully consistent with the theoretical predictions. The FLM model is suitable for describing stochastic processes with a non-Gaussian PDF and long-ranged correlations of the motion.
We discuss the annular electron confinement on the liquid helium surface induced by a submerged tubular electrode. For a shallow liquid layer the resulting potential has a minimum off the symmetry axis of the electrod...
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This paper describes our participating system run to the argumentative text understanding shared task for AI Debater at NLPCC 2021 (http://***/sharedtask/AIDebater21/*** ). The tasks are motivated towards developing a...
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Information about human presence in indoor spaces is crucial for building energy optimization. While there has been a considerable amount of research on using neural networks to automatically detect occupancy from CO2...
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ISBN:
(数字)9798350359312
ISBN:
(纸本)9798350359329
Information about human presence in indoor spaces is crucial for building energy optimization. While there has been a considerable amount of research on using neural networks to automatically detect occupancy from CO2 sensors, their application in practice is limited due to the scarcity of labeled training data. In this paper, we propose Coddora, an off-the-shelf deep learning model pretrained on data from randomized room simulations. Coddora enables quick adaptation to real-world rooms, requiring only minimal data collection. Our contribution includes two model variants for application via fine-tuning or zero-shot classifying, as well as the synthetic dataset providing data from simulations with 100,000 room models.
Based on the mathematical arguments formulated within the multifractal detrended fluctuation analysis (MFDFA) approach it is shown that, in the uncorrelated time series from the Gaussian basin of attraction, the effec...
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Based on the mathematical arguments formulated within the multifractal detrended fluctuation analysis (MFDFA) approach it is shown that, in the uncorrelated time series from the Gaussian basin of attraction, the effects resembling multifractality asymptotically disappear for positive moments when the length of time series increases. A hint is given that this applies to the negative moments as well and extends to the Lévy stable regime of fluctuations. The related effects are also illustrated and confirmed by numerical simulations. This documents that the genuine multifractality in time series may only result from the long-range temporal correlations, and the fatter distribution tails of fluctuations may broaden the width of the singularity spectrum only when such correlations are present. The frequently asked question of what makes multifractality in time series—temporal correlations or broad distribution tails—is thus ill posed. In the absence of correlations only the bifractal or monofractal cases are possible. The former corresponds to the Lévy stable regime of fluctuations while the latter to the ones belonging to the Gaussian basin of attraction in the sense of the central limit theorem.
Unusual magnetic properties of Van der Waals type antiferromagnetic semiconductors make them highly attractive for spintronics and optoelectronics. A link between the magnetic and optical properties of those materials...
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