Domain size heterogeneity in the Ising model: geometrical and thermal transitions

A measure of cluster size heterogeneity ($H$), introduced by Lee et al [Phys. Rev. E {\bf 84}, 020101 (2011)] in the context of explosive percolation, was recently applied to random percolation and to domains of parallel spins in the Ising and Potts models. It is defined as the average number of different domain sizes in a given configuration and a new exponent was introduced to explain its scaling with the size of the system. In thermal spin models, however, physical clusters take into account the temperature-dependent correlation between neighboring spins and encode the critical properties of the phase transition. We here extend the measure of $H$ to these clusters and, moreover, present new results for the geometric domains for both $d=2$ and 3. We show that the heterogeneity associated with geometric domains has a previously unnoticed double peak, thus being able to detect both the thermal and percolative transition. An alternative interpretation for the scaling of $H$ that does not introduce a new exponent is also proposed.Comment: 7 pages, 4 figure

Association of radio polar cap brightening with bright patches and coronal holes

Radio-bright regions near the solar poles are frequently observed in Nobeyama Radioheliograph (NoRH) maps at 17 GHz, and often in association with coronal holes. However, the origin of these polar brightening has not been established yet. We propose that small magnetic loops are the source of these bright patches, and present modeling results that reproduce the main observational characteristics of the polar brightening within coronal holes at 17 GHz. The simulations were carried out by calculating the radio emission of the small loops, with several temperature and density profiles, within a 2D coronal hole atmospheric model. If located at high latitudes, the size of the simulated bright patches are much smaller than the beam size and they present the instrument beam size when observed. The larger bright patches can be generated by a great number of small magnetic loops unresolved by the NoRH beam. Loop models that reproduce bright patches contain denser and hotter plasma near the upper chromosphere and lower corona. On the other hand, loops with increased plasma density and temperature only in the corona do not contribute to the emission at 17 GHz. This could explain the absence of a one-to-one association between the 17 GHz bright patches and those observed in extreme ultraviolet. Moreover, the emission arising from small magnetic loops located close to the limb may merge with the usual limb brightening profile, increasing its brightness temperature and width.Comment: 8 pages, 6 figures, 1 table. Accepted for publication in The Astrophysical Journa

Thermodynamic and dynamic anomalies for a three dimensional isotropic core-softened potential

Using molecular dynamics simulations and integral equations (Rogers-Young, Percus-Yevick and hypernetted chain closures) we investigate the thermodynamic of particles interacting with continuous core-softened intermolecular potential. Dynamic properties are also analyzed by the simulations. We show that, for a chosen shape of the potential, the density, at constant pressure, has a maximum for a certain temperature. The line of temperatures of maximum density (TMD) was determined in the pressure-temperature phase diagram. Similarly the diffusion constant at a constant temperature, $D$, has a maximum at a density $\rho_{max}$ and a minimum at a density $\rho_{min}<\rho_{max}$. In the pressure-temperature phase-diagram the line of extrema in diffusivity is outside of TMD line. Although in this interparticle potential lacks directionality, this is the same behavior observed in SPC/E water.Comment: 16 page

A branching random-walk model of disease outbreaks and the percolation backbone

The size and shape of the region affected by an outbreak is relevant to understand the dynamics of a disease and help to organize future actions to mitigate similar events. A simple extension of the SIR model is considered, where agents diffuse on a regular lattice and the disease may be transmitted when an infected and a susceptible agents are nearest neighbors. We study the geometric properties of both the connected cluster of sites visited by infected agents (outbreak cluster) and the set of clusters with sites that have not been visited. By changing the density of agents, our results show that there is a mixed-order (hybrid) transition where the region affected by the disease is finite in one phase but percolates through the system beyond the threshold. Moreover, the outbreak cluster seems to have the same exponents of the backbone of the critical cluster of the ordinary percolation while the clusters with unvisited sites have a size distribution with a Fisher exponent $\tau<2$.Comment: 7 pages, 7 figure

Ant-Balanced multiple traveling salesmen: ACO-BmTSP

A new algorithm based on the ant colony optimization (ACO) method for the multiple traveling salesman problem (mTSP) is presented and defined as ACO-BmTSP. This paper addresses the problem of solving the mTSP while considering several salesmen and keeping both the total travel cost at the minimum and the tours balanced. Eleven different problems with several variants were analyzed to validate the method. The 20 variants considered three to twenty salesmen regarding 11 to 783 cities. The results were compared with best-known solutions (BKSs) in the literature. Computational experiments showed that a total of eight final results were better than those of the BKSs, and the others were quite promising, showing that with few adaptations, it will be possible to obtain better results than those of the BKSs. Although the ACO metaheuristic does not guarantee that the best solution will be found, it is essential in problems with non-deterministic polynomial time complexity resolution or when used as an initial bound solution in an integer programming formulation. Computational experiments on a wide range of benchmark problems within an acceptable time limit showed that compared with four existing algorithms, the proposed algorithm presented better results for several problems than the other algorithms did.info:eu-repo/semantics/publishedVersio

Multitemporal LMDI index decomposition analysis to explain the changes of ACI by the power sector in Latin America and the Caribbean between 1990-2017

This paper analyzes the drivers behind the changes of the Aggregate Carbon Intensity (ACI) of Latin America and the Caribbean (LAC) power sector in five periods between 1990 and 2017. Since 1990 the carbon intensity of the world has been reduced almost 8.8% whereas the carbon intensity of LAC countries only decreased 0.8%. Even though by 2017 the regional carbon intensity is very similar to the one observed by 1990, this index has showed high variability, mainly in the last three years when the ACI of LAC fell from 285 gCO2/kWh in 2015 to 257.7 gCO2/kWh. To understand what happened with the evolution of the carbon intensity in the region, in this paper a Logarithmic Mean Divisia for Index Decomposition Analysis (IDA-LMDI) is carried out to identify the accelerating and attenuating drivers of the ACI behavior along five periods. The proposal outperforms existing studies previously applied to LAC based upon a single period of analysis. Key contributions are introduced by considering the type of fuel used in power plants as well as specific time-series of energy flows and CO2 emissions by country. Results reveal structural reasons for the increase of the ACI in 1995-2003 and 2008-2015, and intensity reasons for the decrease of the ACI in 1990-1995, 2003-2008 and 2015-2017

Growth and dry matter production in sugarcane varieties grown under full irrigation

A análise de crescimento é considerada o método padrão para medir a produtividade biológica em espécies vegetais. Neste contexto objetivou-se avaliar, em onze variedades de cana-de-açúcar (SP79-1011, RB813804, RB863129, RB872552, RB943365, RB72454, RB763710, SP78-4764, SP81-3250, RB867515, RB92579) cultivadas sob irrigação plena, o crescimento e a produção de matéria seca no ciclo de cana planta. O experimento foi instalado em condições de campo no município de Carpina, PE. Utilizou-se o delineamento estatístico de blocos ao acaso, com quatro repetições. A análise de crescimento correspondeu à quantificação dos números de perfilhos e à, na mensuração da altura e diâmetro dos colmos, avaliados mensalmente em onze períodos de cultivo, os quais se estenderam dos 60 aos 360 dias após o plantio (DAP). A produção de matéria seca foi quantificada a partir dos 120 DAP, com intervalos de amostragem a cada dois meses. Observou-se que as variedades RB92579 e SP81-3250 apresentaram o maior perfilhamento e produção de matéria seca e as variedades RB813804 e RB72454 às maiores médias de altura, enquanto as variedades RB867515 e RB72454 obtiveram os maiores diâmetros do colmo.Growth analysis is considered as a standard method for measuring the biological productivity of plant species. The objective of this research was to evaluate the growth and dry matter production of eleven sugarcane varieties (SP79-1011, RB813804, RB863129, RB872552, RB943365, RB72454, RB763710, SP78-4764, SP81-3250, RB867515, RB92579), grown under full irrigation, in the planted cane cycle. The experiment was conducted in field conditions in the municipality of Carpina, PE. A randomized block design with four replications was used. The varieties' growth analysis was represented by the quantification of the tillers numbers, stalk height and diameter, measured monthly, in eleven periods of cultivation that extended from 60 to 360 days after planting (DAP). The dry matter production was measured from 120 DAP, with sampling intervals of every two months. It was observed that, at 360 DAP, the RB92579 and SP81-3250 varieties showed the highest tillering and dry matter production. The RB813804 and RB72454 varieties had the highest average for height, while the RB72454 and RB867515 varieties presented the largest stalk diameters

Using EcoYieldSAFE to compare soil carbon dynamics under future climate in two contrasting agroforestry systems

N/

Towards an approach to assess Supply Chain Quality Management maturity

Maturity models have been developed in order to help companies to improve organizational performance. Furthermore, due to the globalization and the growing competition, companies need to increase the competitiveness through operational efficiency, internally and in the entire supply chain.In this paper, an approach for the design and implementation of a Supply Chain Quality Management maturity model is presented.The concept of Supply Chain Quality Management has been developed in order to achieve a good integration between the two approaches: Quality Management and Supply Chain Management, and how such integration can help and support the companies to become more effective and efficient.The proposed approach to assess Supply Chain Quality Management maturity incorporates both quantitative and qualitative information to define several levels corresponding to different integration maturity levels. A case study in a world class company of the automotive industry is being used to validate the approach.- This work is sponsored by the Portugal Incentive System for Research and Technological Development. Project in copromotion no 002814/2015 (iFACTORY 2015-2018)