Dinâmica populacional, forrageamento e exposição de operárias de Ectatomma opaciventre (Hymenoptera : Formicidae) a iscas formicidas contendo sulfluramida, fipronil e clorpirifós

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Classificador Fisherface Fuzzy para o reconhecimento de faces

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Polydomy in the ant Ectatomma opaciventre

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Explorando abordagens de múltiplos rótulos por floresta de caminhos ótimos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Should phylogenetic and functional diversity metrics compose macroinvertebrate multimetric indices for stream biomonitoring?

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Temperature-induced spontaneous time-reversal symmetry breaking on the honeycomb lattice

Phase transitions involving spontaneous time-reversal symmetry breaking are studied on the honeycomb lattice at finite hole doping with next-nearest-neighbor repulsion. We derive an exact expression for the mean-field equation of state in closed form, valid at temperatures much less than the Fermi energy. Contrary to standard expectations, we find that thermally induced intraband particle-hole excitations can create and stabilize a uniform metallic phase with broken time-reversal symmetry as the temperature is raised in a region where the ground state is a trivial metal.

A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Automated peritoneal dialysis is associated with better survival rates compared to continuous ambulatory peritoneal dialysis: a propensity score matching analysis

The impact of peritoneal dialysis modality on patient survival and peritonitis rates is not fully understood, and no large-scale randomized clinical trial (RCT) is available. In the absence of a RCT, the use of an advanced matching procedure to reduce selection bias in large cohort studies may be the best approach. The aim of this study is to compare automated peritoneal dialysis (APD) and continuous ambulatory peritoneal dialysis (CAPD) according to peritonitis risk, technique failure and patient survival in a large nation-wide PD cohort. This is a prospective cohort study that included all incident PD patients with at least 90 days of PD recruited in the BRAZPD study. All patients who were treated exclusively with either APD or CAPD were matched for 15 different covariates using a propensity score calculated with the nearest neighbor method. Clinical outcomes analyzed were overall mortality, technique failure and time to first peritonitis. For all analysis we also adjusted the curves for the presence of competing risks with the Fine and Gray analysis. After the matching procedure, 2,890 patients were included in the analysis (1,445 in each group). Baseline characteristics were similar for all covariates including: age, diabetes, BMI, Center-experience, coronary artery disease, cancer, literacy, hypertension, race, previous HD, gender, pre-dialysis care, family income, peripheral artery disease and year of starting PD. Mortality rate was higher in CAPD patients (SHR1.44 CI95%1.21-1.71) compared to APD, but no difference was observed for technique failure (SHR0.83 CI95%0.69-1.02) nor for time till the first peritonitis episode (SHR0.96 CI95%0.93-1.11). In the first large PD cohort study with groups balanced for several covariates using propensity score matching, PD modality was not associated with differences in neither time to first peritonitis nor in technique failure. Nevertheless, patient survival was significantly better in APD patients.

Partially Observed Markov Random Fields Are Variable Neighborhood Random Fields

The present paper has two goals. First to present a natural example of a new class of random fields which are the variable neighborhood random fields. The example we consider is a partially observed nearest neighbor binary Markov random field. The second goal is to establish sufficient conditions ensuring that the variable neighborhoods are almost surely finite. We discuss the relationship between the almost sure finiteness of the interaction neighborhoods and the presence/absence of phase transition of the underlying Markov random field. In the case where the underlying random field has no phase transition we show that the finiteness of neighborhoods depends on a specific relation between the noise level and the minimum values of the one-point specification of the Markov random field. The case in which there is phase transition is addressed in the frame of the ferromagnetic Ising model. We prove that the existence of infinite interaction neighborhoods depends on the phase.

Two versions of the threshold contact model in two dimensions

Two versions of the threshold contact process ordinary and conservative - are studied on a square lattice. In the first, particles are created on active sites, those having at least two nearest neighbor sites occupied, and are annihilated spontaneously. In the conservative version, a particle jumps from its site to an active site. Mean-field analysis suggests the existence of a first-order phase transition, which is confirmed by Monte Carlo simulations. In the thermodynamic limit, the two versions are found to give the same results. (C) 2012 Elsevier B.V. All rights reserved.

Tuning Low-Spin to High-Spin Mn Pairs in 2-D ZnO by Injecting Holes

We have performed an ab initio theoretical investigation of substitutional Mn(Zn) atoms in planar structures of ZnO, viz., monolayer [(ZnO)(1)] and bilayer [(ZnO)(2)] systems. Due to the 2-D quantum confinement effects, in those Mn -doped (ZnO)(1) and (ZnO)(2) structures, the antiferromagnetic (AFM) coupling between (nearest neighbor) Mn(Zn) impurities have been strengthened when compared with the one in ZnO bulk systems. On the other hand, we find that the magnetic state of these systems can be tuned from AFM to FM by adding holes, which can be supplied by a p-type doping or even photoionization processes. Whereas, upon addition of electrons (n-type doping), the system keeps its AFM configuration.

A spatial stochastic model for rumor transmission

We consider an interacting particle system representing the spread of a rumor by agents on the d-dimensional integer lattice. Each agent may be in any of the three states belonging to the set {0,1,2}. Here 0 stands for ignorants, 1 for spreaders and 2 for stiflers. A spreader tells the rumor to any of its (nearest) ignorant neighbors at rate lambda. At rate alpha a spreader becomes a stifler due to the action of other (nearest neighbor) spreaders. Finally, spreaders and stiflers forget the rumor at rate one. We study sufficient conditions under which the rumor either becomes extinct or survives with positive probability.

THE SLOAN DIGITAL SKY SURVEY CO-ADD: A GALAXY PHOTOMETRIC REDSHIFT CATALOG

We present and describe a catalog of galaxy photometric redshifts (photo-z) for the Sloan Digital Sky Survey (SDSS) Co-add Data. We use the artificial neural network (ANN) technique to calculate the photo-z and the nearest neighbor error method to estimate photo-z errors for similar to 13 million objects classified as galaxies in the co-add with r < 24.5. The photo-z and photo-z error estimators are trained and validated on a sample of similar to 83,000 galaxies that have SDSS photometry and spectroscopic redshifts measured by the SDSS Data Release 7 (DR7), the Canadian Network for Observational Cosmology Field Galaxy Survey, the Deep Extragalactic Evolutionary Probe Data Release 3, the VIsible imaging Multi-Object Spectrograph-Very Large Telescope Deep Survey, and the WiggleZ Dark Energy Survey. For the best ANN methods we have tried, we find that 68% of the galaxies in the validation set have a photo-z error smaller than sigma(68) = 0.031. After presenting our results and quality tests, we provide a short guide for users accessing the public data.

CID: an efficient complexity-invariant distance for time series

The ubiquity of time series data across almost all human endeavors has produced a great interest in time series data mining in the last decade. While dozens of classification algorithms have been applied to time series, recent empirical evidence strongly suggests that simple nearest neighbor classification is exceptionally difficult to beat. The choice of distance measure used by the nearest neighbor algorithm is important, and depends on the invariances required by the domain. For example, motion capture data typically requires invariance to warping, and cardiology data requires invariance to the baseline (the mean value). Similarly, recent work suggests that for time series clustering, the choice of clustering algorithm is much less important than the choice of distance measure used.In this work we make a somewhat surprising claim. There is an invariance that the community seems to have missed, complexity invariance. Intuitively, the problem is that in many domains the different classes may have different complexities, and pairs of complex objects, even those which subjectively may seem very similar to the human eye, tend to be further apart under current distance measures than pairs of simple objects. This fact introduces errors in nearest neighbor classification, where some complex objects may be incorrectly assigned to a simpler class. Similarly, for clustering this effect can introduce errors by “suggesting” to the clustering algorithm that subjectively similar, but complex objects belong in a sparser and larger diameter cluster than is truly warranted.We introduce the first complexity-invariant distance measure for time series, and show that it generally produces significant improvements in classification and clustering accuracy. We further show that this improvement does not compromise efficiency, since we can lower bound the measure and use a modification of triangular inequality, thus making use of most existing indexing and data mining algorithms. We evaluate our ideas with the largest and most comprehensive set of time series mining experiments ever attempted in a single work, and show that complexity-invariant distance measures can produce improvements in classification and clustering in the vast majority of cases.

Statistische Betrachtungen und mößbauerspektroskopische Untersuchungen von Ordnungszuständen in Biotiten

Im Mittelpunkt der vorliegenden Arbeit standen Untersuchungen zu strukturellen Ordnungs- und Unordnungsphänomenen an natürlichen, substitutionellen Mischkristallen. Aufgrund der enormen Vielfalt an potentiellen Austauschpartnern wurden hierfür Vertreter der Biotit-Mischkristallreihe "Phlogopit-Annit" ausgewählt. Ihr modulartiger Aufbau ermöglichte die gezielte Beschreibung von Verteilungsmustern anionischer und kationischer Merkmalsträger innerhalb der Oktaederschicht der Biotit-Mischkristalle. Basierend auf der postulierten Bindungsaffinität zwischen Mg2+ und F- einerseits und Fe2+ und OH- andererseits, wurde die strukturelle Separation einer Fluor-Phlogopit-Komponente als primäre Ausprägungsform des Mg/F-Ordnungsprinzips abgeleitet. Im Rahmen dieser Modellvorstellung koexistieren im makroskopisch homogenen Biotit-Mischkristall Domänen zweier chemisch divergenter Phasen nebeneinander: Eine rein Mg2+/F- - führende Phlogopit-Phase und eine Wirtskristallphase, die mit fortschreitender Separation bzw. Entmischung der erstgenannten Phase sukzessive reicher an einer hydroxylführenden eisenreichen Annit-Komponente wird. Zwecks numerischer Beschreibung diverser Stadien der Entmischungsreaktion wurden die Begriffe der "Relativen" und "Absoluten Domänengröße" eingeführt. Sie stellen ein quantitatives Maß zur Beurteilung der diskutierten Ordnungsphänomene dar. Basierend auf einem sich stetig ändernden Chemismus der Wirtskristallphase kann jeder Übergangszustand zwischen statistischer Verteilung und vollständiger Ordnung durch das korrespondierende Verteilungsmuster der interessierenden Merkmalsträger ( = Nahordnungskonfiguration und Besetzungswahrscheinlichkeit) charakterisiert und beschrieben werden. Durch mößbauerspektroskopische Untersuchungen konnten die anhand der entwickelten Modelle vorhergesagten Ausprägungsformen von Ordnungs-/Unordnungsphänomenen qualitativ und quantitativ verifiziert werden. Es liessen sich hierbei zwei Gruppen von Biotit-Mischkristallen unterscheiden. Eine erste Gruppe, deren Mößbauer-Spektren durch den OH/F-Chemismus als dominierendes Differenzierungsmerkmal geprägt wird, und eine zweite Gruppe, deren Mößbauer-Spektren durch Gruppierungen von höherwertigen Kationen und Vakanzen ( = Defektchemie) geprägt wird. Auf der Basis von Korrelationsdiagrammen, die einen numerischen und graphischen Bezug zwischen absoluter und relativer Domänengröße einerseits und experimentell zugänglichem Mößbauer-Parameter A (= relativer Flächenanteil, korrespondierend mit der Besetzungswahrscheinlichkeit einer bestimmten Nahordnungs-konstellation) andererseits herstellen, konnten für die erste Gruppe die Volumina der beiden miteinander koexistierenden Komponenten "Hydroxyl-Annit reicher Wirtskristall" und "Fluor-Phlogopit" exakt quantifiziert werden. Das Spektrum der untersuchten Proben umfasste hierbei Kristallspezies, die einerseits durch geringe bis mittlere Mg2+/F- - bzw. Fe2+/OH- -Ordnungsgrade gekennzeichnet sind, andererseits eine nahezu vollständige Ordnung der interessierenden Merkmalsträger Mg2+, Fe2+, OH- und F- widerspiegeln. Desweiteren konnte der Nachweis geführt werden, dass für ausgewählte Proben eine quantitative Bestimmung der Defektvolumina möglich ist.