Relações espaço-temporais como restrições de tomadas de decisões na grande área no futebol

Este estudo investigou as tomadas de decisões de jogadores dentro da grande área do futebol com base em variáveis espaciais e espaço-temporais de coordenações interpessoal e extrapessoal. Participaram do estudo 150 jogadores do sexo masculino, com idade entre 18 e 38 anos, e experiência de prática neste esporte de, no mínimo, 7 anos. Foram filmados 12 jogos de futebol de um campeonato amador na Colômbia. As imagens capturadas foram analisadas através do software TACTO, e as variáveis consideradas para análise foram as seguintes: i) ângulo de chute, formado por vetores ligando o jogador com posse de bola a dois componentes do jogo que geravam uma lacuna no gol; ii) ângulo A de passe, composto por vetores conectando o portador da bola ao seu marcador mais próximo e ao seu companheiro de equipe; iii) ângulo B de passe, formado por vetores ligando o portador da bola ao seu companheiro de equipe e ao marcador mais próximo dele; iv) distância interpessoal, caracterizada pela distância entre o jogador com posse de bola e seu defensor mais próximo; v) velocidade e variabilidade relacionadas às mudanças em cada uma dessas medidas. Essas variáveis foram comparadas em relação a situações de chute, passe e drible. Os resultados revelaram que, em relação à decisão de chutar, o ângulo de chute representando a interação entre as possibilidades de completá-lo e de o mesmo ser interceptado, diferiu do mesmo ângulo em que as decisões de passe e drible foram tomadas; e, na decisão de driblar, a distância interpessoal apresentou diferenças com as situações em que o passe foi executado. Concluiu-se que, no caso do chute ao gol e o drible, os ângulos de chute e distâncias interpessoais, respectivamente, funcionaram como variáveis informacionais de coordenações interpessoal e extrapessoal importantes para as tomadas de decisão

Condensados de Bose-Einstein em redes óticas: a transição superfluido-isolante de Mott em redes hexagonais e a classe de universalidade superfluido-vidro de Bose em 3D

Estudamos transições de fases quânticas em gases bosônicos ultrafrios aprisionados em redes óticas. A física desses sistemas é capturada por um modelo do tipo Bose-Hubbard que, no caso de um sistema sem desordem, em que os átomos têm interação de curto alcance e o tunelamento é apenas entre sítios primeiros vizinhos, prevê a transição de fases quântica superfluido-isolante de Mott (SF-MI) quando a profundidade do potencial da rede ótica é variado. Num primeiro estudo, verificamos como o diagrama de fases dessa transição muda quando passamos de uma rede quadrada para uma hexagonal. Num segundo, investigamos como a desordem modifica essa transição. No estudo com rede hexagonal, apresentamos o diagrama de fases da transição SF-MI e uma estimativa para o ponto crítico do primeiro lobo de Mott. Esses resultados foram obtidos usando o algoritmo de Monte Carlo quântico denominado Worm. Comparamos nossos resultados com os obtidos a partir de uma aproximação de campo médio e com os de um sistema com uma rede ótica quadrada. Ao introduzir desordem no sistema, uma nova fase emerge no diagrama de fases do estado fundamental intermediando a fase superfluida e a isolante de Mott. Essa nova fase é conhecida como vidro de Bose (BG) e a transição de fases quântica SF-BG que ocorre nesse sistema gerou muitas controvérsias desde seus primeiros estudos iniciados no fim dos anos 80. Apesar dos avanços em direção ao entendimento completo desta transição, a caracterização básica das suas propriedades críticas ainda é debatida. O que motivou nosso estudo, foi a publicação de resultados experimentais e numéricos em sistemas tridimensionais [Yu et al. Nature 489, 379 (2012), Yu et al. PRB 86, 134421 (2012)] que violam a lei de escala $\\phi= u z$, em que $\\phi$ é o expoente da temperatura crítica, $z$ é o expoente crítico dinâmico e $ u$ é o expoente do comprimento de correlação. Abordamos essa controvérsia numericamente fazendo uma análise de escalonamento finito usando o algoritmo Worm nas suas versões quântica e clássica. Nossos resultados demonstram que trabalhos anteriores sobre a dependência da temperatura de transição superfluido-líquido normal com o potencial químico (ou campo magnético, em sistemas de spin), $T_c \\propto (\\mu-\\mu_c)^\\phi$, estavam equivocados na interpretação de um comportamento transiente na aproximação da região crítica genuína. Quando os parâmetros do modelo são modificados de maneira a ampliar a região crítica quântica, simulações com ambos os modelos clássico e quântico revelam que a lei de escala $\\phi= u z$ [com $\\phi=2.7(2)$, $z=3$ e $ u = 0.88(5)$] é válida. Também estimamos o expoente crítico do parâmetro de ordem, encontrando $\\beta=1.5(2)$.

Diversidade e estrutura genética de populações de batata da serra (Ipomoea serrana Sim.-Bianch. & L.V. Vasconcelos) da Chapada Diamantina, Bahia, utilizando marcadores ISSR

A batata-da-serra, Ipomoea serrana Sim.-Bianch. & L.V. Vasconcelos, é uma liana endêmica da Chapada Diamantina, Bahia, cuja raiz tuberosa e consumida por populações humanas ha muitos anos. Apesar da espécie, classificada como vulnerável pela IUCN (União Internacional para a Conservação da Natureza), estar submetida à pressão antrópica devido à exploração de raízes tuberosas, para uso na alimentação, são raros os estudos com a espécie, razão pela qual e de grande importância conhecer a diversidade e estrutura genética da espécie. Estudos sobre diversidade e estrutura genética a partir de marcadores moleculares são importantes por fornecerem dados sobre impactos da exploração antrópica sobre as populações, podendo oferecer subsídio para planos de manejo e conservação de espécie. Cinco populações da Chapada Diamantina, constituindo um total de 142 indivíduos, foram investigados com quatro iniciadores Inter Simple Sequence Repeats (ISSR), resultando em 34 bandas, das quais 25 foram polimórficas. A analise dos parâmetros genéticos mostrou que as populações apresentam variabilidade moderada, com 73,8% de bandas polimórficas, 0,264 de índice de diversidade de Nei e 0,389 de índice de Shannon (valores médios). A maior parte da variação ocorreu dentro das populações (77%), estimado pela analise de variância molecular (AMOVA), enquanto que a variação entre populações foi de 23%, o que corroborou os resultados de estruturação obtidos pelo programa Structure, analise de coordenadas principais (PCoA) e agrupamento estimado pelo método Neighbor-Joining, a partir do coeficiente de dissimilaridade de Jaccard. A analise Bayesiana separou os indivíduos em quatro grupos, sendo que as populações Andaraí e Capão foram alocadas em grupos distintos, enquanto as outras três populações compartilharam indivíduos distribuídos em outros dois grupos. Este estudo, por seu caráter pioneiro com relação aos marcadores moleculares, constituiu o primeiro passo para o conhecimento da diversidade genética da espécie. Estudos futuros poderão ampliar o conhecimento sobre a espécie podendo oferecer subsidio para a elaboração de um plano de manejo para esta espécie que tem sido explorada na região.

Common origin for surface reconstruction and the formation of chains of metal atoms

During the fracture of nanocontacts gold spontaneously forms freely suspended chains of atoms, which is not observed for the isoelectronic noble metals Ag and Cu. Au also differs from Ag and Cu in forming reconstructions at its low-index surfaces. Using mechanically controllable break junctions we show that all the 5d metals that show similar reconstructions (Ir, Pt, and Au) also form chains of atoms, while both properties are absent in the 4d neighbor elements (Rh, Pd, and Ag), indicating a common origin for these two phenomena. A competition between s and d bonding is proposed as an explanation.

Spin-orbit interaction in curved graphene ribbons

We study the electronic properties of electrons in flat and curved zigzag graphene nanoribbons using a tight-binding model within the Slater Koster approximation, including spin-orbit interaction. We find that a constant curvature across the ribbon dramatically enhances the action of the spin-orbit term, strongly influencing the spin orientation of the edge states: Whereas spins are normal to the surface in the case of flat ribbons, this is no longer the case for curved ribbons. This effect is very pronounced, the spins deviating from the normal to the ribbon, even for very small curvature and a realistic spin orbit coupling of carbon. We find that curvature results also in an effective second neighbor hopping that modifies the electronic properties of zigzag graphene ribbons. We discuss the implications of our findings in the spin Hall phase of curved graphene ribbons.

Interplay between sublattice and spin symmetry breaking in graphene

We study the effect of sublattice symmetry breaking on the electronic, magnetic, and transport properties of two-dimensional graphene as well as zigzag terminated one- and zero-dimensional graphene nanostructures. The systems are described with the Hubbard model within the collinear mean field approximation. We prove that for the noninteracting bipartite lattice with an unequal number of atoms in each sublattice, in-gap states still exist in the presence of a staggered on-site potential ±Δ/2. We compute the phase diagram of both 2D and 1D graphene with zigzag edges, at half filling, defined by the normalized interaction strength U/t and Δ/t, where t is the first neighbor hopping. In the case of 2D we find that the system is always insulating, and we find the Uc(Δ) curve above which the system goes antiferromagnetic. In 1D we find that the system undergoes a phase transition from nonmagnetic insulator for U

Theory of single-spin inelastic tunneling spectroscopy

I show that recent experiments of inelastic scanning tunneling spectroscopy of single and a few magnetic atoms are modeled with a phenomenological spin-assisted tunneling Hamiltonian so that the inelastic dI/dV line shape is related to the spin spectral weight of the magnetic atom. This accounts for the spin selection rules and dI/dV spectra observed experimentally for single Fe and Mn atoms deposited on Cu2N. In the case of chains of Mn atoms it is found necessary to include both first and second-neighbor exchange interactions as well as single-ion anisotropy.

Variación espacial de la exposición a contaminación atmosférica en la ciudad de Valencia y su relación con un índice de privación

Objetivo: Evaluar la variación espacial de la exposición a dióxido de nitrógeno (NO2) en la ciudad de Valencia y su relación con la privación socioeconómica y la edad. Métodos: La población por sección censal (SC) procede del Instituto Nacional de Estadística. Los niveles de NO2 se midieron en 100 puntos del área de estudio, mediante captadores pasivos, en tres campañas entre 2002 y 2004. Se utilizó regresión por usos del suelo (LUR) para obtener el mapa de los niveles de NO2. Las predicciones del LUR se compararon con las proporcionadas por: a) el captador más cercano de la red de vigilancia, b) el captador pasivo más cercano, c) el conjunto de captadores en un entorno y d) kriging. Se asignaron niveles de contaminación para cada SC. Se analizó la relación entre los niveles de NO2, un índice de privación con cinco categorías y la edad (≥65 años). Resultados: El modelo LUR resultó el método más preciso. Más del 99% de la población superó los niveles de seguridad propuestos por la Organización Mundial de la Salud. Se encontró una relación inversa entre los niveles de NO2 y el índice de privación (β = –2,01 μg/m3 en el quintil de mayor privación respecto al de menor, IC95%: –3,07 a –0,95), y una relación directa con la edad (β = 0,12 μg/m3 por incremento en unidad porcentual de población ≥65 años, IC95%: 0,08 a 0,16). Conclusiones: El método permitió obtener mapas de contaminación y describir la relación entre niveles de NO2 y características sociodemográficas.

Discontinuity spacing analysis in rock masses using 3D point clouds

The complete characterization of rock masses implies the acquisition of information of both, the materials which compose the rock mass and the discontinuities which divide the outcrop. Recent advances in the use of remote sensing techniques – such as Light Detection and Ranging (LiDAR) – allow the accurate and dense acquisition of 3D information that can be used for the characterization of discontinuities. This work presents a novel methodology which allows the calculation of the normal spacing of persistent and non-persistent discontinuity sets using 3D point cloud datasets considering the three dimensional relationships between clusters. This approach requires that the 3D dataset has been previously classified. This implies that discontinuity sets are previously extracted, every single point is labeled with its corresponding discontinuity set and every exposed planar surface is analytically calculated. Then, for each discontinuity set the method calculates the normal spacing between an exposed plane and its nearest one considering 3D space relationship. This link between planes is obtained calculating for every point its nearest point member of the same discontinuity set, which provides its nearest plane. This allows calculating the normal spacing for every plane. Finally, the normal spacing is calculated as the mean value of all the normal spacings for each discontinuity set. The methodology is validated through three cases of study using synthetic data and 3D laser scanning datasets. The first case illustrates the fundamentals and the performance of the proposed methodology. The second and the third cases of study correspond to two rock slopes for which datasets were acquired using a 3D laser scanner. The second case study has shown that results obtained from the traditional and the proposed approaches are reasonably similar. Nevertheless, a discrepancy between both approaches has been found when the exposed planes members of a discontinuity set were hard to identify and when the planes pairing was difficult to establish during the fieldwork campaign. The third case study also has evidenced that when the number of identified exposed planes is high, the calculated normal spacing using the proposed approach is minor than those using the traditional approach.

Convergence analysis and validation of low cost distance metrics for computational cost reduction of the Iterative Closest Point algorithm

The Iterative Closest Point algorithm (ICP) is commonly used in engineering applications to solve the rigid registration problem of partially overlapped point sets which are pre-aligned with a coarse estimate of their relative positions. This iterative algorithm is applied in many areas such as the medicine for volumetric reconstruction of tomography data, in robotics to reconstruct surfaces or scenes using range sensor information, in industrial systems for quality control of manufactured objects or even in biology to study the structure and folding of proteins. One of the algorithm’s main problems is its high computational complexity (quadratic in the number of points with the non-optimized original variant) in a context where high density point sets, acquired by high resolution scanners, are processed. Many variants have been proposed in the literature whose goal is the performance improvement either by reducing the number of points or the required iterations or even enhancing the complexity of the most expensive phase: the closest neighbor search. In spite of decreasing its complexity, some of the variants tend to have a negative impact on the final registration precision or the convergence domain thus limiting the possible application scenarios. The goal of this work is the improvement of the algorithm’s computational cost so that a wider range of computationally demanding problems from among the ones described before can be addressed. For that purpose, an experimental and mathematical convergence analysis and validation of point-to-point distance metrics has been performed taking into account those distances with lower computational cost than the Euclidean one, which is used as the de facto standard for the algorithm’s implementations in the literature. In that analysis, the functioning of the algorithm in diverse topological spaces, characterized by different metrics, has been studied to check the convergence, efficacy and cost of the method in order to determine the one which offers the best results. Given that the distance calculation represents a significant part of the whole set of computations performed by the algorithm, it is expected that any reduction of that operation affects significantly and positively the overall performance of the method. As a result, a performance improvement has been achieved by the application of those reduced cost metrics whose quality in terms of convergence and error has been analyzed and validated experimentally as comparable with respect to the Euclidean distance using a heterogeneous set of objects, scenarios and initial situations.

On the suitability of Prototype Selection methods for kNN classification with distributed data

In the current Information Age, data production and processing demands are ever increasing. This has motivated the appearance of large-scale distributed information. This phenomenon also applies to Pattern Recognition so that classic and common algorithms, such as the k-Nearest Neighbour, are unable to be used. To improve the efficiency of this classifier, Prototype Selection (PS) strategies can be used. Nevertheless, current PS algorithms were not designed to deal with distributed data, and their performance is therefore unknown under these conditions. This work is devoted to carrying out an experimental study on a simulated framework in which PS strategies can be compared under classical conditions as well as those expected in distributed scenarios. Our results report a general behaviour that is degraded as conditions approach to more realistic scenarios. However, our experiments also show that some methods are able to achieve a fairly similar performance to that of the non-distributed scenario. Thus, although there is a clear need for developing specific PS methodologies and algorithms for tackling these situations, those that reported a higher robustness against such conditions may be good candidates from which to start.

Letter from James Winthrop to William Bentley, 1811 November 18

Two octavo-sized leaves containing a brief one-page handwritten letter from Winthrop to Bentley noting the transmission of a French book for Hannah Crowninshield (1789-1834), an artist and daughter of Bentley's neighbor.

Bond, Robert, 2 autographed letters signed to John Winthrop; East Hampton, Conn., 1651 March 8-March 10

Correspondence regarding advice Winthrop had given to Bond's family, and requesting he remit instructions for treating an illness of a neighbor's children.

Fitch, James, 1622-1702, autographed letter signed to John Winthrop; Saybrooke [sic], Conn., 1 side (2 pages), 1652 April

Correspondence requesting medicines from Winthrop for his stomach ailment, and for a neighbor who was suffering from edema.

The Enlarged European Union and its Eastern Neighbours: Problems and Solutions. OSW Point of View, October 2003

The EU enlargement is scheduled to take place in 2004. After this date, it should be a priority for the EU to develop a coherent and comprehensive policy towards its nearest neighbours, i.e. countries bordering the Member States, which cannot join the EU in the nearest future due to their location or weaknesses of their political and economic systems. There are at least three reasons for this. Firstly, good relations with neighbours will underlie the broadly understood security of the Community. Relations with the nearest neighbours will determine both military security of the EU (including the combating of terrorism) and its ability to prevent other threats such as illegal migration, smuggling, etc. Secondly, good economic relations with neighbours may contribute to the Member States' economic growth in the longer term. And finally, the EU's ability to develop an effective and adequate policy towards its nearest neighbours will demonstrate its competence as a subject of international politics. In other words, the EU will not be recognised as a reliable political player in the global scene until it develops an effective strategy for its neighbourhood.