Thermodynamic analog of integrate-and-fire neuronal networks by maximum entropy modelling.

Recent results have evidenced that spontaneous brain activity signals are organized in bursts with scale free features and long-range spatio-temporal correlations. These observations have stimulated a theoretical interpretation of results inspired in critical phenomena. In particular, relying on maximum entropy arguments, certain aspects of time-averaged experimental neuronal data have been recently described using Ising-like models, allowing the study of neuronal networks under an analogous thermodynamical framework. This method has been so far applied to a variety of experimental datasets, but never to a biologically inspired neuronal network with short and long-term plasticity. Here, we apply for the first time the Maximum Entropy method to an Integrate-and-fire (IF) model that can be tuned at criticality, offering a controlled setting for a systematic study of criticality and finite-size effects in spontaneous neuronal activity, as opposed to experiments. We consider generalized Ising Hamiltonians whose local magnetic fields and interaction parameters are assigned according to the average activity of single neurons and correlation functions between neurons of the IF networks in the critical state. We show that these Hamiltonians exhibit a spin glass phase for low temperatures, having mostly negative intrinsic fields and a bimodal distribution of interaction constants that tends to become unimodal for larger networks. Results evidence that the magnetization and the response functions exhibit the expected singular behavior near the critical point. Furthermore, we also found that networks with higher percentage of inhibitory neurons lead to Ising-like systems with reduced thermal fluctuations. Finally, considering only neuronal pairs associated with the largest correlation functions allows the study of larger system sizes.

Using mobile phone-based text message to recruit representative samples: Assessment of a cross-sectional survey about the COVID-19 vaccine hesitation.

BACKGROUND: Limited research has examined mobile phone-based platforms for survey recruitment, especially during the COVID-19 pandemic in Brazil. Our objective was to investigate the feasibility and representativeness of mobile phone-based advertisement during a preliminary study about COVID-19 vaccine hesitation in Brazil. Moreover, we evaluate whether the older population can be reached through mobile phone-based platforms of the survey. METHODS: We conducted a study in December 2021 based on a preliminary survey about the COVID-19 vaccine hesitation in Assis, Brazil, Sao Paulo state. From a list of the adult population hesitant about the second dose of the COVID-19 vaccine, we sent a mobile phone-based advertisement inviting the participants to answer the survey for one week. The respondent's data were collected in a Google form platform. The comparison between the target population and the respondents was made using the Chi-squared test and the Welch's test, using a P-value of 0.05 as significative. RESULTS: The response rate was 9.99% after one week. The mean age of the respondent group was 33.97 (SD 14.99) and 35.05 (SD 14.19) of the population, with a P-value of 0.192 and a Cohen's d coefficient of 0.0754, corresponding to a small effect size between groups. We demonstrate that the mobile phone-based survey is a feasible and representative strategy during the pandemics in Brazil. Moreover, the older population respondent was representative. CONCLUSION: We achieved a representative sample of respondents using the mobile phone-based survey in Brazil. Furthermore, it was representative of all sociodemographic and health characteristics assessed. Finally, these findings suggest that the method is a highly feasible and economical means of recruiting for survey research.

Bright thermal (blackbody) emission of visible light from LnO2 (Ln = Pr, Tb), photoinduced by a NIR 980 nm laser.

The increasing demand for renewable energy has been promoting a rapid development of photovoltaic technologies. Given this, photoinduced thermal emission is being explored with the aim of improving solar cell performance by converting low-energy IR photons into visible light. Here, we report the light-induced blackbody emission from LnO2 (Ln = Pr and Tb) as a potential emitter for thermophotovoltaic applications. Lanthanide dioxides display broad IR absorption and a direct optical band gap of 1.49 (PrO2) and 1.51 eV (TbO2). These materials achieve a maximum temperature of ∼1500 K under a power density excitation of 160 W cm-2 and display a stable bright light emission. Thermal emission can be tuned from laser power density modulation.

Majority-vote model on spatially embedded networks: Crossover from mean-field to Ising universality classes.

We study through Monte Carlo simulations and finite-size scaling analysis the nonequilibrium phase transitions of the majority-vote model taking place on spatially embedded networks. These structures are built from an underlying regular lattice over which directed long-range connections are randomly added according to the probability P_{ij}∼r^{-α}, where r_{ij} is the Manhattan distance between nodes i and j, and the exponent α is a controlling parameter [J. M. Kleinberg, Nature (London) 406, 845 (2000)NATUAS0028-083610.1038/35022643]. Our results show that the collective behavior of this system exhibits a continuous order-disorder phase transition at a critical parameter, which is a decreasing function of the exponent α. Precisely, considering the scaling functions and the critical exponents calculated, we conclude that the system undergoes a crossover among distinct universality classes. For α≤3 the critical behavior is described by mean-field exponents, while for α≥4 it belongs to the Ising universality class. Finally, in the region where the crossover occurs, 3<α<4, the critical exponents are dependent on α.

Scaling functions for systems with finite range of interaction.

We present a numerical determination of the scaling functions of the magnetization, the susceptibility, and the Binder's cumulant for two nonequilibrium model systems with varying range of interactions. We consider Monte Carlo simulations of the block voter model (BVM) on square lattices and of the majority-vote model (MVM) on random graphs. In both cases, the satisfactory data collapse obtained for several system sizes and interaction ranges supports the hypothesis that these functions are universal. Our analysis yields an accurate estimation of the long-range exponents, which govern the decay of the critical amplitudes with the range of interaction, and is consistent with the assumption that the static exponents are Ising-like for the BVM and classical for the MVM.

Block voter model: phase diagram and critical behavior.

We introduce and study the block voter model with noise on two-dimensional square lattices using Monte Carlo simulations and finite-size scaling techniques. The model is defined by an outflow dynamics where a central set of N(PCS) spins, here denoted by persuasive cluster spins (PCS), tries to influence the opinion of their neighboring counterparts. We consider the collective behavior of the entire system with varying PCS size. When N(PCS)>2, the system exhibits an order-disorder phase transition at a critical noise parameter q(c) which is a monotonically increasing function of the size of the persuasive cluster. We conclude that a larger PCS has more power of persuasion, when compared to a smaller one. It also seems that the resulting critical behavior is Ising-like independent of the range of interaction.

Degradation of the copper-releasing intrauterine contraceptive device and its significance.

Measurements were made of the copper remaining on used Gravigard intrauterine contraceptive devices (IUCDs) that had been in utero for up to 40 months. The topography and composition of the surface deposits were analysed by scanning electron microscopy and energy-dispersive X-ray analysis. The rate of copper loss decreased exponentially from 0.42 mumol d-1 (26.7 micrograms d-1) upon insertion to 0.056 mumol d-1 (3.6 micrograms d-1) after 26 months of use; between 27 and 40 months of use a linear release of 0.32 mumol d-1 (20.3 micrograms d-1) was observed. There was no correlation between this changing rate of copper loss and the pregnancy rate with the device in situ. The changes in the rate of copper loss were probably due to the growth of a surface corrosion product which, due to internal stresses, fractured after about 2 years and exposed fresh copper; this results in a progressive increase in breakage of the copper wire after 3 years. It is recommended that a copper IUCD of this type be replaced after 3 years.

PIP: Measurements were made of the copper remaining on used Gravigard IUDs that had been in utero for up to 40 months. The topography and composition of the surface deposits were analyzed by scanning electron microscopy and energy-dispersive x-ray analysis. The rate of copper loss decreased exponentially from 0.42 mcmol d-1 (26.7 mcg d-1) upon insertion to 0.056 mcmol d-1 (3.6 mcg dz-1) after 26 months of use; between 27-40 months of use, a linear release of 0.32 mcmol d-1 (20.3 mcg dz-1) was observed. There was no correlation between this changing rate of copper loss and the pregnancy rate with the device in situ. The changes in the rate of copper loss were probably due to the growth of a surface corrosion product which, due to internal stresses, fractured after about 2 years and exposed fresh copper; this results in a progressive increase in copper wire breakage after 3 years. It is recommended that a copper IUD of this type be replaced after 3 years.