POTENCIAL DA ASSOCIAÇÃO Pisolithus microcarpus COM MUDAS DE Corymbia citriodora EM SOLO CONTAMINADO COM ZINCO

O uso de plantas com potencial de associação com microrganismos é uma prática frequente em solos contaminados por metais pesados, considerada de baixo custo e ambientalmente correta. O trabalho objetivou avaliar o crescimento do Corymbia citriodora (Hook.) K.D. Hill & L.A.S. Johnson e o efeito da inoculação com Pisolithus microcarpus UFSC-Pt116 em solo contaminado com Zn. O delineamento experimental foi inteiramente casualizado em arranjo fatorial (2 x 6), sendo com e sem inóculo e seis doses de Zn (0, 300, 600, 900, 1200 e 1500 mg kg-1 de solo), com seis repetições. As mudas foram inoculadas e cultivadas durante 90 dias em viveiro. Após 67 dias do transplante definitivo foi avaliado o percentual de colonização ectomicorrízica, a altura de planta, diâmetro do colo, número de folhas, índice de clorofila total, volume radicular, massa seca das folhas, da haste caulinar, radicular e total, relação massa seca aérea/massa seca radicular e a relação altura/diâmetro do colo. O percentual de colonização ectomicorrízica em Corymbia citriodora é estimulado pelo acréscimo de até 1412,21 mg kg-1 de Zn no solo. O Corymbia citriodora é tolerante a adição de até 1500 mg kg-1 de zinco em solo com 81% de argila, mesmo sem a inoculação com Pisolithus microcarpus. A análise de correlação canônica evidencia que a inoculação com P. microcarpus favorece a massa seca total, radicular e da parte aérea de Corymbia citriodora cultivado em solo com 81% de argila contaminada com 600 mg kg-1 de Zn.

Neuroendocrine tumours of the female genital tract: a case-based imaging review with pathological correlation

Background Both primary and secondary gynaecological neuroendocrine (NE) tumours are uncommon, and the literature is scarce concerning their imaging features. Methods This article reviews the epidemiological, clinical and imaging features with pathological correlation of gynaecological NE tumours. Results The clinical features of gynaecological NE tumours are non-specific and depend on the organ of origin and on the extension and aggressiveness of the disease. The imaging approach to these tumours is similar to that for other histological types and the Revised International Federation of Gynecology and Obstetrics (FIGO) Staging System also applies to NE tumours. Neuroendocrine tumours were recently divided into two groups: poorly differentiated neuroendocrine carcinomas (NECs) and well-differentiated neuroendocrine tumours (NETs). NECs include small cell carcinoma and large cell neuroendocrine carcinoma, while NETs account for typical and atypical carcinoids. Cervical small cell carcinoma and ovarian carcinoid are the most common gynaecological NE tumours. The former typically behaves aggressively; the latter usually behaves in a benign fashion and tends to be confined to the organ. Conclusion While dealing with ovarian carcinoids, extraovarian extension, bilaterality and multinodularity raise the suspicion of metastatic disease. NE tumours of the endometrium and other gynaecological locations are very rare. Teaching Points • Primary or secondary neurondocrine (NE) tumours of the female genital tract are rare. • Cervical small cell carcinoma and ovarian carcinoids are the most common gynaecological NE tumours. • Cervical small cell carcinomas usually behave aggressively. • Ovarian carcinoids tend to behave in a benign fashion. • The imaging approach to gynaecological NE tumours and other histological types is similar.

Análise de correlação canónica : extensões e aplicações

Neste trabalho apresentamos a teoria da análise de correlação canónica, uma técnica de análise estatística multivariada para o estudo da relação, simultânea, entre dois, três ou mais grupos de variáveis. Descrevemos a natureza da correlação canónica com três ou mais variáveis, com modelos matemáticos, fazendo uma síntese dos métodos de generalização de correlação canónica nomeadamente o método Ssqcor, método Sumcor, método Ecart, método Maxvar, método Minvar, e o método de Carroll. Apresentamos uma aplicação utilizando dados provenientes do cálculo do Índice de Preços no Consumidor IPC, produzido pelo INE - STP (Instituto Nacional de Estatística de São Tomé e Príncipe), referente ao período 2010 a 2014. Estamos interessados em conhecer as correlações canónicas entre grupos de variáveis relacionadas com o cabaz de produtos pré-estabelecido para o cálculo do índice de preços no consumidor, concretamente os produtos alimentares (PA), produtos para bebidas (PB) e produtos não alimentares (PNA), constituindo assim os três grandes grupos de variáveis da nossa pesquisa.

Atenuação de ruídos coerentes utilizando decomposição em modos empíricos

The seismic processing technique has the main objective to provide adequate picture of geological structures from subsurface of sedimentary basins. Among the key steps of this process is the enhancement of seismic reflections by filtering unwanted signals, called seismic noise, the improvement of signals of interest and the application of imaging procedures. The seismic noise may appear random or coherent. This dissertation will present a technique to attenuate coherent noise, such as ground roll and multiple reflections, based on Empirical Mode Decomposition method. This method will be applied to decompose the seismic trace into Intrinsic Mode Functions. These functions have the properties of being symmetric, with local mean equals zero and the same number of zero-crossing and extremes. The developed technique was tested on synthetic and real data, and the results were considered encouraging

On the HHT, its problems, and some solutions

Mechanical Systems and Signal Processing, Vol.22, Number 6

Pienten osuuskuntien taloudellinen suoriutuminen

Tämän kandidaatintutkielman tarkoituksena on tutkia suomalaisia pienosuuskuntia niiden taloudellisen suoriutumisen näkökulmasta. Taloudellista suoriutumista tutkitaan tunnuslukujen avulla osuuskuntien tilinpäätöksissä olevien lukujen perusteella. Lisäksi tutkitaan, onko taloudellisessa suoriutumisessa eroavaisuuksia alueen, toimialan tai osuuskunnan koon välillä. Tutkimuksen aineisto on peräisin suomalaisten osuuskuntien tilinpäätöksistä, jotka ovat saatavilla Patentti- ja rekisterihallituksen Virre-tietokannasta. Aineistoa analysoidaan SAS Enterprise Guide -ohjelman avulla käyttäen apuna jakauma-analyysiä, yhteenvetotilastoja, Kruskal-Wallisin testiä sekä Spearmanin korrelaatioanalyysiä. Jakauma-analyyseillä ja yhteenvetotilastoilla muodostetaan aineistosta kokonaiskuva ja analysoidaan suomalaisten pienosuuskuntien tunnuslukuja. Kruskal-Wallis testillä analysoidaan taloudellisen suoriutumisen eroa alueellisesti ja toimialakohtaisesti ja Spearmanin korrelaatiokertoimella mitataan korrelaatiota liikevaihdon ja tunnuslukujen välillä. Tulosten perusteella osuuskuntien taloudellinen suoriutuminen ei ole sidoksissa toimialaan eikä alueeseen. Koon ja quick ration välillä löytyi negatiivinen korrelaatio. Suomalaisten pienosuuskuntien maksuvalmius on hyvällä tasolla. Myös vakavaraisuus on kohtalainen. Kannattavuuden tunnusluvut jäivät osuuskunnilla hyvin alhaisiksi ja osin jopa negatiivisiksi. Koska osuuskuntien toiminnan tarkoitus ei ole maksimoida voittoa, voidaan kannattavuuden tunnuslukuja pitää hyvällä tasolla, kunhan ne ovat positiivisia.

Correlação entre uso da terra e qualidade da água subterrânea

Este trabalho descreve a correlação entre parâmetros de uso da terra (área agricultada, área edificada, pastagem, solo exposto e vegetação intermediária) e de qualidade da água subterrânea (pH, sólidos totais dissolvidos - STD, K+, Na+, Fe+3, Ca+2, Mg+2, NO2 -, NO3 -, P total e coliformes), no sul do estado do Espírito Santo. A delimitação da área de influência de poços e a identificação das classes de uso da terra foram feitas utilizando-se Sistema de Informações Geográficas. Por meio da análise de correlação canônica, foi possível estimar dois índices: índice de uso da terra e índice de qualidade da água, ambos padronizados. A correlação canônica foi significativa entre o primeiro par de variáveis canônicas, indicando relação linear entre os grupos. Desta forma, é possível afirmar que o uso da terra influenciou a qualidade da água subterrânea, principalmente pelo incremento da concentração de alguns elementos químicos.

Automatic Reduction of Artifacts in EEG-Signals

Electroencephalograms (EEG) are often contaminated with high amplitude artifacts limiting the usability of data. Methods that reduce these artifacts are often restricted to certain types of artifacts, require manual interaction or large training data sets. Within this paper we introduce a novel method, which is able to eliminate many different types of artifacts without manual intervention. The algorithm first decomposes the signal into different sub-band signals in order to isolate different types of artifacts into specific frequency bands. After signal decomposition with principal component analysis (PCA) an adaptive threshold is applied to eliminate components with high variance corresponding to the dominant artifact activity. Our results show that the algorithm is able to significantly reduce artifacts while preserving the EEG activity. Parameters for the algorithm do not have to be identified for every patient individually making the method a good candidate for preprocessing in automatic seizure detection and prediction algorithms.

Rezension zu "Recht verstehen. Wie Laien, Juristen und Versicherungsagenten die 'Riester-Rente' interpretieren"

Rezension zu "Recht verstehen. Wie Laien, Juristen und Versicherungsagenten die 'Riester-Rente' interpretieren" von Angelika Becker und Wolfgang Klein; Berlin 2008: Akademie Verlag: "Es gibt in der Literatur keinen Mangel an umfangreichen und generellen Darstellungen zu Sprache und Verstehen, auch nicht auf dem Gebiet des Rechts; dagegen fehlt es an Darlegungen dazu, wie man empirisch den Verstehensprozess untersuchen kann. Diese Lücke füllt das Buch. "

A non-perturbative renormalization group study of the stochastic NavierStokes equation

We study the renormalization group flow of the average action of the stochastic Navier-Stokes equation with power-law forcing. Using Galilean invariance, we introduce a nonperturbative approximation adapted to the zero-frequency sector of the theory in the parametric range of the Hölder exponent 4−2 ɛ of the forcing where real-space local interactions are relevant. In any spatial dimension d, we observe the convergence of the resulting renormalization group flow to a unique fixed point which yields a kinetic energy spectrum scaling in agreement with canonical dimension analysis. Kolmogorov's −5/3 law is, thus, recovered for ɛ=2 as also predicted by perturbative renormalization. At variance with the perturbative prediction, the −5/3 law emerges in the presence of a saturation in the ɛ dependence of the scaling dimension of the eddy diffusivity at ɛ=3/2 when, according to perturbative renormalization, the velocity field becomes infrared relevant.

Optimized Decoding for Auditory Attention Detection

Thesis (Master's)--University of Washington, 2016-06

Il livello del mare visto dai mareografi

I mareografi sono strumenti che misurano il livello del mare in un punto della costa. Tuttavia, essendovi ancorati, essi sono soggetti al suo movimento. Inoltre, il livello del mare è fortemente influenzato da effetti locali. In una prima parte, si è quindi selezionato un insieme di questi in base alla completezza dei dati e a restrizioni geografiche, in modo che nel loro complesso fossero il più possibile rappresentativi della situazione media globale. Di ognuno di essi si sono studiati la monotonicità e l’andamento in due ventenni consecutivi, il primo dal 1980. In questo modo è stato possibile evidenziare, ove presenti, modifiche nel tasso di variazione annuale del livello del mare in ogni località nei due periodi. Studiati i singoli mareografi si è poi proceduto ad effettuarne uno stacking per ottenere una stima meno influenzata da effetti locali. Il test di monotonia identifica in entrambi i casi un chiaro trend crescente. Il risultato della regressione lineare sui due periodi ha fornito tassi pari rispettivamente a (2.1 ± 0.5)mm/yr e (4.7 ± 0.5)mm/yr. Per migliorare la significatività del test di monotonia, si sono poi rimossi i modi semi-periodici mediante il metodo di decomposizione EMD (Empirical Mode Decomposition). Ripetendo la regressione lineare si ottengono risultati simili ma con minore incertezza: (2.3 ± 0.2)mm/yr e (4.9 ± 0.2)mm/yr. Come approccio alternativo, per cercare di superare l’arbitrarietà della scelta dei due archi temporali, si è effettuato un fit quadratico sulle serie dati dal 1980 al 2020. In questi modo, è stato possibile identificare e raggruppare situazioni contraddistinte da andamenti generali simili. In seguito, si è mostrato come, in entrambi i periodi, ci sia una forte correlazione lineare fra i mareografi sulla costa occidentale degli Stati Uniti e fra i mareografi posti nel Mediterraneo. Infine, viene studiato il caso dei mareografi della Laguna Veneta e la loro correlazione con altri posizionati nell'Adriatico settentrionale.

An empirical assessment of customer satisfaction and quality of service: comparing SERVQUAL and SERVPERF

This paper assesses the validity and reliability of two instruments measuring quality of service, the SERVPERF and SERVQUAL scales, replicated in a novel cultural settings, a Portuguese energy company. To provide insights and strategies for managerial intervention, a relation between customers’ satisfaction and quality of service is established. The empirical study suggests a superior convergent and predictive validity of SERVPERF scale to measure quality of service in this settings when comparing to SERVQUAL. The main differences of this study with previous ones, are that this one resorts on a confirmatory factor analysis, the validation of the instruments is performed by using the same measures suggested by their creators and extends the line of research to a novel cultural settings, a Portuguese energy company. Concerning the relationship between service quality and customers’ satisfaction, all of the quality of service attributes correlate almost equally to the satisfaction ones, with a lower weight concerning tangibles.

Wavelet correlation between subjects: A time-scale data driven analysis for brain mapping using fMRI

Functional magnetic resonance imaging (fMRI) based on BOLD signal has been used to indirectly measure the local neural activity induced by cognitive tasks or stimulation. Most fMRI data analysis is carried out using the general linear model (GLM), a statistical approach which predicts the changes in the observed BOLD response based on an expected hemodynamic response function (HRF). In cases when the task is cognitively complex or in cases of diseases, variations in shape and/or delay may reduce the reliability of results. A novel exploratory method using fMRI data, which attempts to discriminate between neurophysiological signals induced by the stimulation protocol from artifacts or other confounding factors, is introduced in this paper. This new method is based on the fusion between correlation analysis and the discrete wavelet transform, to identify similarities in the time course of the BOLD signal in a group of volunteers. We illustrate the usefulness of this approach by analyzing fMRI data from normal subjects presented with standardized human face pictures expressing different degrees of sadness. The results show that the proposed wavelet correlation analysis has greater statistical power than conventional GLM or time domain intersubject correlation analysis. (C) 2010 Elsevier B.V. All rights reserved.

Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for NRI data analysis

The identification, modeling, and analysis of interactions between nodes of neural systems in the human brain have become the aim of interest of many studies in neuroscience. The complex neural network structure and its correlations with brain functions have played a role in all areas of neuroscience, including the comprehension of cognitive and emotional processing. Indeed, understanding how information is stored, retrieved, processed, and transmitted is one of the ultimate challenges in brain research. In this context, in functional neuroimaging, connectivity analysis is a major tool for the exploration and characterization of the information flow between specialized brain regions. In most functional magnetic resonance imaging (fMRI) studies, connectivity analysis is carried out by first selecting regions of interest (ROI) and then calculating an average BOLD time series (across the voxels in each cluster). Some studies have shown that the average may not be a good choice and have suggested, as an alternative, the use of principal component analysis (PCA) to extract the principal eigen-time series from the ROI(s). In this paper, we introduce a novel approach called cluster Granger analysis (CGA) to study connectivity between ROIs. The main aim of this method was to employ multiple eigen-time series in each ROI to avoid temporal information loss during identification of Granger causality. Such information loss is inherent in averaging (e.g., to yield a single ""representative"" time series per ROI). This, in turn, may lead to a lack of power in detecting connections. The proposed approach is based on multivariate statistical analysis and integrates PCA and partial canonical correlation in a framework of Granger causality for clusters (sets) of time series. We also describe an algorithm for statistical significance testing based on bootstrapping. By using Monte Carlo simulations, we show that the proposed approach outperforms conventional Granger causality analysis (i.e., using representative time series extracted by signal averaging or first principal components estimation from ROIs). The usefulness of the CGA approach in real fMRI data is illustrated in an experiment using human faces expressing emotions. With this data set, the proposed approach suggested the presence of significantly more connections between the ROIs than were detected using a single representative time series in each ROI. (c) 2010 Elsevier Inc. All rights reserved.