Discrete-time quantum walk dispersion control through long-range correlations

We investigate the evolution dynamics of inhomogeneous discrete-time one-dimensional quantum walks displaying long-range correlations in both space and time. The associated quantum coin operators are built to exhibit a random inhomogeneity distribution of long-range correlations embedded in the time evolution protocol through a fractional Brownian motion with spectrum following a power-law behavior, $S(k)\sim 1/k^{\nu}$. The power-law correlated disorder encoded in the phases of the quantum coin is shown to give rise to a wide variety of spreading patterns of the qubit states, from localized to subdiffusive, diffusive, and superdiffusive (including ballistic) behavior, depending on the relative strength of the parameters driving the correlation degree. Dispersion control is then possible in one-dimensional discrete-time quantum walks by suitably tunning the long-range correlation properties assigned to the inhomogeneous quantum coin operator

O novo modelo de autorização da Lei n. 12.996/2014 e os seus efeitos no setor de transporte rodoviário interestadual e internacional de passageiros

The purpose of this essay is to discuss the new model for granting authorization for the public interstate and intrastate transport services which was established by Law 12,996/2014 and regulated by ANTT through Resolution 4,770/2015, analyzing its impacts on the sector, especially in the light of the regulator's design, presenting our criticisms to the new model and the challenges that must be overcome.Este trabalho tem por objetivo abordar o novo modelo de outorga para a prestação do serviço de transporte interestadual e internacional de passageiros que foi instituído pela Lei nº 12.996/2014 e regulamentado pela ANTT através da Resolução nº 4.770/2015, analisando os seus impactos para o setor, especialmente à luz do desenho realizado pelo regulador, apresentando as críticas ao novo modelo e os desafios que devem ser superados

Link between the North Atlantic Oscillation and the surface mass balance components of the Greenland Ice Sheet under preindustrial and last interglacial climates: a study with a coupled global circulation model

The relationship between the surface mass balance (SMB) components (accumulation and melting) of the Greenland Ice Sheet (GrIS) and the North Atlantic Oscillation (NAO) is examined from numerical simulations performed with a new atmospheric stretched grid configuration of the Centre National de Recherches Météorologiques Coupled Model (CNRM-CM) version 5.2 under three periods: preindustrial climate, a warm phase (early Eemian, 130&thinsp;ka&thinsp;BP) and a cool phase (late Eemian, 115&thinsp;ka&thinsp;BP) of the last interglacial. The horizontal grid of the atmospheric component of CNRM-CM5.2 is stretched from the tilted pole on Baffin Bay (72°&thinsp;N, 65°&thinsp;W) in order to obtain a higher spatial resolution on Greenland. The correlation between simulated SMB anomalies averaged over Greenland and the NAO index is weak in winter and significant in summer (about 0.6 for the three periods). In summer, spatial correlations between the NAO index and SMB components display different patterns from one period to another. These differences are analyzed in terms of the respective influence of the positive and negative phases of the NAO on accumulation and melting. Accumulation in south Greenland is significantly correlated with the positive (negative) phase of the NAO in a warm (cold) climate. Under preindustrial and 115&thinsp;ka&thinsp;BP climates, melting along the margins is more correlated with the positive phase of the NAO than with its negative phase, whereas at 130&thinsp;ka&thinsp;BP it is more correlated with the negative phase of the NAO in north and northeast Greenland.</p

The use of social simulation modelling to understand adherence to diabetic retinopathy screening programs

Funding Information: This work is partially funded by national funds through the FCT—Fundação para a Ciência e Tecnologia, I.P., under the projects UID/GES/00315/2020 and UIDB/04466/2020, and by the Business Research Unit ISCTE under the project HOPE. We are grateful for the support of ISCTE ISTAR-IUL—Information Sciences, Technologies and Architecture Research Center. We are also grateful to the doctors of the Northern Region Health Administration who provided data, insight and expertise that greatly assisted this research. Publisher Copyright: © The Author(s) 2024.The success of screening programs depends to a large extent on the adherence of the target population, so it is therefore of fundamental importance to develop computer simulation models that make it possible to understand the factors that correlate with this adherence, as well as to identify population groups with low adherence to define public health strategies that promote behavioral change. Our aim is to demonstrate that it is possible to simulate screening adherence behavior using computer simulations. Three versions of an agent-based model are presented using different methods to determine the agent’s individual decision to adhere to screening: (a) logistic regression; (b) fuzzy logic components and (c) a combination of the previous. All versions were based on real data from 271,867 calls for diabetic retinopathy screening. The results obtained are statistically very close to the real ones, which allows us to conclude that despite having a high degree of abstraction from the real data, the simulations are very valid and useful as a tool to support decisions in health planning, while evaluating multiple scenarios and accounting for emergent behavior.publishersversionpublishe

The Science Space of Artificial Intelligence Knowledge Production

The present contribution seeks to map the development of Artificial Intelligence (AI) knowledge as indicated through scientific publications. A set of principal keywords is employed in order to identify those publications that are related to AI in the Web of Science and the metadata provided by the database is then utilized to map the evolution of the field across different scales, i.e. the national, country and regional level. This analysis allows for the identification of potential AI “hotspots”, while also establishing places that have been leading in the development of AI knowledge from the onset vis-à-vis those that have managed to catch up over time. In addition, a network that illustrates international collaborative efforts in AI knowledge creation via co-authorships across nations and via the evolution of keywords’ co-occurrence across three decades is illustrated. It is evident that these networks have become denser with time, and that they have changed across regions. The objective of the present analysis is to enhance our understanding about where and how scientific AI knowledge is created, which in turn should encourage and assist future research efforts looking to study AI knowledge and its consequences

Hops, Skip and a Jump: The Regional Uniqueness of Beer Styles

Perhaps more than any other product, beer evokes its place of origin. Part of what makes every pint of Guinness or stein of Paulaner so memorable is what sets them apart and gives them their unique "taste of place." This chapter explores the geographical differentiation of beer. To do so, we collect data on regional beer recipes, styles, and ingredients from a homebrewing website. We then employ Evolutionary Economic Geography (EEG) methods and create weighted co-occurrence networks for the ingredients within each style. We use these networks to identify which ingredients are most important to each beer style, measure a style’s robustness, and compare differences between geographically close and distant styles. While previous literature focuses on the related diversification of regions, we use these methods to examine the differences within the same product and across many regional styles and flavours. Combining the EEG methods with this unique ingredients dataset, we show that almost all beer styles rely on only a handful of key ingredients. Yet some regional beers are more robust than others due to readily available substitute ingredients in their region. Likewise, we demonstrate that styles originating in close geographic proximity are more similar in their use of ingredients.Item will be publihsed as a book chapter -- update details accordingly once published. 2023-06-1