Nishiyama A.Tanaka S.Tuszynski J.A.
5页查看更多>>摘要：© 2022 Elsevier B.V.By employing numerical simulations we describe non-equilibrium processes leading towards the breakdown of symmetry within Quantum Brain Dynamics (QBD) in 2+1 dimensions. We adopt time evolution equations for coherent electric fields, dipole moment density and the time derivative of dipole moment density, and the Kadanoff–Baym equations for incoherent dipoles and photons. We show that the Bose–Einstein distributions apply to incoherent dipoles and photons in the time evolution. Triggered by nonzero initial electric field, the system's dipoles are aligned in the same direction. We argue that these results can be applied as representative for memory formations in QBD.
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Yang H.Yao Y.Qi H.Guo M....
5页查看更多>>摘要：© 2022 Elsevier B.V.Most of the safety studies mainly takes the probability of crashes or relevant records as the main indicators. Accident-based safety analysis may lead to overestimation or underestimation of traffic risks, which are delayed and sparse. Aggressive driving behavior is one of the major causes of traffic accidents, which can accurately measure traffic risk, but is not widely adopted due to limitations in data collection. This paper took the Traffic Order Index (TOI) as the surrogate index of safety risk based on aggressive driving behavior and speed variation and developed the Multinomial Logistic Regression (MLR) and the Random Forest (RF) model to identify risk level on bridge sections of freeway, which can minimize the restrictions of crash occurrence or crash-related data in discovering contributing factors of traffic risks. The results revealed that the RF has a better performance than MLR in the performance comparison of the two classifiers. The feature importance based on the Gini coefficient was used to identify the most influential variable of identified results of risk. The top four ranked variables that significantly affect the identified results of traffic order level are congestion index, road section types, the level of the number of users, and weather. In addition, the partial dependency plots of the explanatory variables are presented to reveal interactions between different variable types on traffic risks. Finally, the conclusion based on the traffic order level analysis has basically corresponded to the accident analysis. Identification of these specific risk prone conditions could improve our understanding of traffic risk and would shed light on countermeasures for improving the safety of bridge sections of freeways.
原文链接:- NSTL
Perepelkin E.E.Sadovnikov B.I.Burlakov E.V.Afonin P.V....
5页查看更多>>摘要：© 2022 Elsevier B.V.For a quantum oscillator with the polynomial potential an explicit expression that describes the energy distribution as a coordinate (and momentum) function is obtained. The presence of the energy function poles is shown for the quantum system in the domains where the Wigner function has negative values.
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Yukalov V.I.Yukalova E.P.Sornette D.
5页查看更多>>摘要：© 2022 Elsevier B.V.A network of agents is considered whose decision processes are described by the quantum decision theory previously advanced by the authors. Decision making is done by evaluating the utility of alternatives, their attractiveness, and the available information, whose combinations form the probabilities to choose a given alternative. As a result of the interplay between these three contributions, the process of choice between several alternatives is multimodal. The agents interact by exchanging information, which can take two forms: information that an agent can directly receive from another agent and information collectively created by the members of the society. The information field common to all agents tends to smooth out sharp variations in the temporal behaviour of the probabilities and can even remove them. For agents with short-term memory, the probabilities often tend to their limiting values through strong oscillations and, for a range of parameters, these oscillations last for ever, representing an ever lasting hesitation of decision makers. Switching on the information field makes the amplitude of the oscillations smaller and even halt the oscillations forcing the probabilities to converge to fixed limits. The dynamic disjunction effect is described.
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da Fontoura Costa L.Silva F.N.Amancio D.R.Ferraz de Arruda H....
5页查看更多>>摘要：© 2022 Elsevier B.V.Poetry and prose are written artistic expressions that help us appreciate the reality we live in. Each of these styles has its own set of subjective properties, such as rhyme and rhythm, which are easily caught by a human reader's eye and ear. With the recent advances in artificial intelligence, the gap between humans and machines may have decreased, and today we observe algorithms mastering tasks that were once exclusively performed by humans. In this paper, we propose a computational method to distinguish between poetry and prose based solely on aural and rhythmic properties. In order to compare prose and poetry rhythms, we represent the rhymes and phonemes as temporal sequences, and thus, we propose a procedure for extracting rhythmic features from these sequences. The performance of this procedure is evaluated by the use of popular machine learning classifiers, and the best accuracy was obtained with a multilayer perceptron neural network. Interestingly, by using an approach based on complex networks to visualize the similarities between the different texts considered, we found that the patterns of poetry vary more than prose. Consequently, a richer and more complex set of rhythmic possibilities tends to be found in that modality.
原文链接:- NSTL
