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Cisternas, J.; Mellado, P.; Urbina, F.; Portilla, C.; Carrasco, M.; Concha, A. |
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Title |
Stable and unstable trajectories in a dipolar chain |
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2021 |
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Physical Review B |
Abbreviated Journal |
Phys. Rev. B |
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103 |
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13 |
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134443 |
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Keywords |
MAGNETIC MONOPOLES; CRYSTAL STATISTICS; INTERFERENCE; HYSTERESIS; RELAXATION; ENTROPY |
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Abstract |
In classical mechanics, solutions can be classified according to their stability. Each of them is part of the possible trajectories of the system. However, the signatures of unstable solutions are hard to observe in an experiment, and most of the times if the experimental realization is adiabatic, they are considered just a nuisance. Here we use a small number of XY magnetic dipoles subject to an external magnetic field for studying the origin of their collective magnetic response. Using bifurcation theory we have found all the possible solutions being stable or unstable, and explored how those solutions are naturally connected by points where the symmetries of the system are lost or restored. Unstable solutions that reveal the symmetries of the system are found to be the culprit that shape hysteresis loops in this system. The complexity of the solutions for the nonlinear dynamics is analyzed using the concept of boundary basin entropy, finding that the damping timescale is critical for the emergence of fractal structures in the basins of attraction. Furthermore, we numerically found domain wall solutions that are the smallest possible realizations of transverse walls and vortex walls in magnetism. We experimentally confirmed their existence and stability showing that our system is a suitable platform to study domain wall dynamics at the macroscale. |
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2469-9950 |
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WOS:000646311300001 |
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UAI @ alexi.delcanto @ |
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1386 |
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Author |
de la Cruz, R.; Salinas, H.S.; Meza, C. |
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Title |
Reliability Estimation for Stress-Strength Model Based on Unit-Half-Normal Distribution |
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2022 |
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Symmetry-Basel |
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Symmetry |
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14 |
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4 |
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837 |
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bootstrap confidence intervals; bootstrap methods; entropy; exact and asymptotic confidence interval; mean residual life; simulation studies; strength-stress model; unit-half-normal distribution |
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Many lifetime distribution models have successfully served as population models for risk analysis and reliability mechanisms. We propose a novel estimation procedure of stress-strength reliability in the case of two independent unit-half-normal distributions can fit asymmetrical data with either positive or negative skew, with different shape parameters. We obtain the maximum likelihood estimator of the reliability, its asymptotic distribution, and exact and asymptotic confidence intervals. In addition, confidence intervals of model parameters are constructed by using bootstrap techniques. We study the performance of the estimators based on Monte Carlo simulations, the mean squared error, average bias and length, and coverage probabilities. Finally, we apply the proposed reliability model in data analysis of burr measurements on the iron sheets. |
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2073-8994 |
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WOS:000785126300001 |
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UAI @ alexi.delcanto @ |
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1570 |
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Vasquez-Pinto, S.; Morales-Bader, D.; Cox, R.F.A.; Munoz-Rubke, F.; Castillo, R.D. |
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The nonlinearity of pupil diameter fluctuations in an insight task as criteria for detecting children who solve the problem from those who do not |
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2023 |
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Frontiers in Psychology |
Abbreviated Journal |
Front. Psychol. |
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14 |
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1129355 |
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insight problem solving; entropy; fractal scaling; self-organization; pupil diameter fluctuations; 8-coin task |
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Insights, characterized by sudden discoveries following unsuccessful problem-solving attempts, are fascinating phenomena. Dynamic systems perspectives argue that insight arises from self-organizing perceptual and motor processes. Entropy and fractal scaling are potential markers for emerging new and effective solutions. This study investigated whether specific features associated with self-organization in dynamical systems can distinguish between individuals who succeed and those who fail in solving insight tasks. To achieve this, we analyzed pupillary diameter fluctuations of children aged 6 to 12 during the 8-coin task, a well-established insight task. The participants were divided into two groups: successful (n = 24) and unsuccessful (n = 43) task completion. Entropy, determinism, recurrence ratio, and the & beta; scaling exponent were estimated using Recurrence Quantification and Power Spectrum Density analyses. The results indicated that the solver group exhibited more significant uncertainty and lower predictability in pupillary diameter fluctuations before finding the solution. Recurrence Quantification Analysis revealed changes that went unnoticed by mean and standard deviation measures. However, the & beta; scaling exponent did not differentiate between the two groups. These findings suggest that entropy and determinism in pupillary diameter fluctuations can identify early differences in problem-solving success. Further research is needed to determine the exclusive role of perceptual and motor activity in generating insights and investigate these results' generalizability to other tasks and populations. |
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1664-1078 |
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WOS:001023703700001 |
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UAI @ alexi.delcanto @ |
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1847 |
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