A fitting algorithm for random modeling the PLC channel

The characteristics of the power-line communication (PLC) channel are difficult to model due to the heterogeneity of the networks and the lack of common wiring practices. To obtain the full variability of the PLC channel, random channel generators are of great importance for the design and testing of communication algorithms. In this respect, we propose a random channel generator that is based on the top-down approach. Basically, we describe the multipath propagation and the coupling effects with an analytical model. We introduce the variability into a restricted set of parameters and, finally, we fit the model to a set of measured channels. The proposed model enables a closed-form description of both the mean path-loss profile and the statistical correlation function of the channel frequency response. As an example of application, we apply the procedure to a set of in-home measured channels in the band 2-100 MHz whose statistics are available in the literature. The measured channels are divided into nine classes according to their channel capacity. We provide the parameters for the random generation of channels for all nine classes, and we show that the results are consistent with the experimental ones. Finally, we merge the classes to capture the entire heterogeneity of in-home PLC channels. In detail, we introduce the class occurrence probability, and we present a random channel generator that targets the ensemble of all nine classes. The statistics of the composite set of channels are also studied, and they are compared to the results of experimental measurement campaigns in the literature.

Aportación de técnicas geoespaciales para la determinación de los niveles de referencia de la deforestación y la degradación de bosques en el ámbito de proyectos REDD. análisis de factores de causalidad subyacentes y directos

La pérdida de bosques en la Tierra, principalmente en ecosistemas amazónicos, es un factor clave en el proceso del cambio climático. Para revertir esta situación, los mecanismos REDD (Reducing Emission from Deforestation and forest Degradation) están permitiendo la implementación de actividades de protección del clima a través de la reducción de emisiones por deforestación evitada, según los esquemas previstos en el Protocolo de Kioto. El factor técnico más crítico en un proyecto REDD es la determinación de la línea de referencia de emisiones, que define la expectativa futura sobre las emisiones de CO2 de origen forestal en ausencia de esfuerzos adicionales obtenidos como consecuencia de la implementación del programa REDD para frenar este tipo de emisiones. La zona del estudio se ubica en la región de San Martín (Perú), provincia cubierta fundamentalmente por bosques tropicales cuyas tasas de deforestación son de las más altas de la cuenca amazónica. En las últimas décadas del siglo XX, la región empezó un acelerado proceso de deforestación consecuencia de la integración vial con el resto del país y la rápida inmigración desde zonas rurales en busca de nuevas tierras agrícolas. Desde el punto de vista de la investigación llevada a cabo en la tesis doctoral, se pueden destacar dos líneas: 1. El estudio multitemporal mediante imágenes de satélite Landsat 5/TM con el propósito de calcular las pérdidas de bosque entre períodos. El estudio multitemporal se llevó a cabo en el período 1998-2011 utilizando imágenes Landsat 5/TM, aplicando la metodología de Análisis de Mezclas Espectrales (Spectral Mixtures Analysis), que permite descomponer la reflectancia de cada píxel de la imagen en diferentes fracciones de mezcla espectral. En este proceso, las etapas más críticas son el establecimiento de los espectros puros o endemembers y la recopilación de librerías espectrales adecuadas, en este caso de bosques tropicales, que permitan reducir la incertidumbre de los procesos. Como resultado de la investigación se ha conseguido elaborar la línea de referencia de emisiones histórica, para el período de estudio, teniendo en cuenta tanto los procesos de deforestación como de degradación forestal. 2. Relacionar los resultados de pérdida de bosque con factores de causalidad directos e indirectos. La determinación de los procesos de cambio de cobertura forestal utilizando técnicas geoespaciales permite relacionar, de manera significativa, información de los indicadores causales de dichos procesos. De igual manera, se pueden estimar escenarios futuros de deforestación y degradación de acuerdo al análisis de la evolución de dichos vectores, teniendo en cuenta otros factores indirectos o subyacentes, como pueden ser los económicos, sociales, demográficos y medioambientales. La identificación de los agentes subyacentes o indirectos es una tarea más compleja que la de los factores endógenos o directos. Por un lado, las relaciones causa – efecto son mucho más difusas; y, por otro, los efectos pueden estar determinados por fenómenos más amplios, consecuencia de superposición o acumulación de diferentes causas. A partir de los resultados de pérdida de bosque obtenidos mediante la utilización de imágenes Landsat 5/TM, se investigaron los criterios de condicionamiento directos e indirectos que podrían haber influido en la deforestación y degradación forestal en ese período. Para ello, se estudiaron las series temporales, para las mismas fechas, de 9 factores directos (infraestructuras, hidrografía, temperatura, etc.) y 196 factores indirectos (económicos, sociales, demográficos y ambientales, etc.) con, en principio, un alto potencial de causalidad. Finalmente se ha analizado la predisposición de cada factor con la ocurrencia de deforestación y degradación forestal por correlación estadística de las series temporales obtenidas. ABSTRACT Forests loss on Earth, mainly in Amazonian ecosystems, is a key factor in the process of climate change. To reverse this situation, the REDD (Reducing Emission from Deforestation and forest Degradation) are allowing the implementation of climate protection activities through reducing emissions from avoided deforestation, according to the schemes under the Kyoto Protocol. Also, the baseline emissions in a REDD project defines a future expectation on CO2 emissions from deforestation and forest degradation in the absence of additional efforts as a result of REDD in order to stop these emissions. The study area is located in the region of San Martín (Peru), province mainly covered by tropical forests whose deforestation rates are the highest in the Amazon basin. In the last decades of the twentieth century, the region began an accelerated process of deforestation due to road integration with the rest of the country and the rapid migration from rural areas for searching of new farmland. From the point of view of research in the thesis, we can highlight two lines: 1. The multitemporal study using Landsat 5/TM satellite images in order to calculate the forest loss between periods. The multitemporal study was developed in the period 1998-2011 using Landsat 5/TM, applying the methodology of Spectral Mixture Analysis, which allows decomposing the reflectance of each pixel of the image in different fractions of mixture spectral. In this process, the most critical step is the establishment of pure spectra or endemembers spectra, and the collecting of appropriate spectral libraries, in this case of tropical forests, to reduce the uncertainty of the process. As a result of research has succeeded in developing the baseline emissions for the period of study, taking into account both deforestation and forest degradation. 2. Relate the results of forest loss with direct and indirect causation factors. Determining the processes of change in forest cover using geospatial technologies allows relating, significantly, information of the causal indicators in these processes. Similarly, future deforestation and forest degradation scenarios can be estimated according to the analysis of the evolution of these drivers, taking into account other indirect or underlying factors, such as economic, social, demographic and environmental. Identifying the underlying or indirect agents is more complex than endogenous or direct factors. On the one hand, cause - effect relationships are much more diffuse; and, second, the effects may be determined by broader phenomena, due to superposition or accumulation of different causes. From the results of forest loss obtained using Landsat 5/TM, the criteria of direct and indirect conditioning that might have contributed to deforestation and forest degradation in that period were investigated. For this purpose, temporal series, for the same dates, 9 direct factors (infrastructure, hydrography, temperature, etc.) and 196 underlying factors (economic, social, demographic and environmental) with, in principle, a high potential of causality. Finally it was analyzed the predisposition of each factor to the occurrence of deforestation and forest degradation by statistical correlation of the obtained temporal series.

Linfoma renale del gatto:rilievi anatomopatologici, immunofenotipizzazione delle popolazioni linfocitarie ed espressione tissutale dell'antigene virale FeLV gp70.

Riassunto Il linfoma è una delle neoplasie più diffuse nel gatto. Questa neoplasia è stata classificata in base alla localizzazione anatomica nella forma Mediastinica (che interessa il timo e/o i linfonodi mediastinici), Alimentare, Multicentrica (che interessa diversi linfonodi e/o la milza e/o il fegato, Extranodale (che coinvolge i reni, SNC o la cute). Le cellule neoplastiche sono caratterizzate da diverse sottopopolazioni, che sono definite tramite immunofenotipizzazione ottenuta mediante tecniche immunoistochimiche (IHC), così che possano essere classificate come cellule B o T o non B/non T. I gatti infetti dal virus della leucemia felina (FeLV, Gammaretrovirus) presentano elevata incidenza di linfomi rispetto ai gatti non infetti. I meccanismi proposti di sviluppo neoplastico sono mutagenesi inserzionali o stimolazione persistente delle cellule immunitarie dell’ospite da parte di antigeni virali, i quali possono promuovere la trasformazione in senso maligno dei linfociti. Lo scopo di questo lavoro è stato esaminare i rilievi patologici, l’espressione di FeLV e l’immonofenotipo (B, T, nonB/nonT) nei reni felini affetti da linfoma. Abbiamo effettuato colorazione Ematossilina- Eosina ed Immunoistochimica per FeLV gp70, CD3 e CD79. Nello studio sono stati inclusi i tessuti di 49 gatti presentati all’Unità Operativa di Anatomia Patologica e Patologia Generale del Dipartimento di Scienze Medico Veterinarie dell’Università degli studi di Parma. Il 39% dei casi (19/49) sono caratterizzati dalla presenza di lesioni linfomatose a livello renale. Questa popolazione è costituita dal 52,6% 3 (10/19) maschi e dal 47,4% (9/19) femmine. L’età è compresa tra 8 mesi e 17 anni ed in particolare 26,6% (5/19) sono giovani (0-2 anni), 47,4% (9/19) sono adulti (2-10 anni) e 26,3% (5/19) sono anziani (>10 anni). Per quanto riguarda la classificazione anatomica la forma renale appare primitiva in 5 casi (25%), in 8 casi (42%) appare secondaria a linfomi multicentrici, in 3 casi (15,7%) a linfomi mediastinici e in altri 3 casi (15,7%) a linfomi gastrici e intestinali. Per quanto riguarda l’immunofenotipizzazione sono risultati CD3 positivi il 73,7% (14/19) e CD3 negativi il 27,3% (5/19); CD79 alpha positivi il 26,3% (5/19) e CD79 alpha negativi il 73,7% (14/19); l’espressione della proteina gp70 è stata individuata nel 78,9% (15/19) delle neoplasie renali, mentre il 21,1% (4/19) non presentava espressione della proteina. Nei 4 anni presi in considerazione nello studio si evince un’elevata incidenza della localizzazione anatomica renale sul totale di linfomi osservati. Non si è notata correlazione statistica tra linfomi renali, età e sesso dei soggetti presi in esame ma vi è un’elevata percentuale di animali adulti ed anziani affetti dalla patologia. Nella valutazione fenotipica dell’infiltrato neoplastico si è osservata l’elevata espressione di CD3, caratterizzando i linfociti come appartenenti alla sottopopolazione T. Inoltre si è evidenziato come un elevato numero di cellule neoplastiche esprimano gp70; ciò permette di affermare che i linfociti neoplastici sono infettati dal virus FeLV, il quale inoltre è in attiva replicazione. I marker CD3 e gp70 sono risultati fortemente correlati statisticamente; si può affermare perciò che l’espansione clonale dei linfociti T è correlata alla presenza e replicazione del virus.

Management of Trihalomethanes in Finished Drinking Water Through Source Water Precursor Monitoring

Trihalomethanes are organic compounds formed in drinking water distribution systems as a result of disinfection. This capstone project researched and evaluated the statistical correlation of trihalomethanes in finished drinking water and total organic carbon in source water using data generated by Denver area utilities. Results of the study conclude that some drinking water supply systems show a slight correlation between source water total organic carbon levels and trihalomethane levels in finished water. Results of the study also verify the assertion that changes to treatment for the reduction of trihalomethanes, for the protection of human health under the Safe Drinking Water Act should be determined by each utility, using information from gathered data, seasonal trends, and small scale batch testing.

Evolution of extracellular polymeric substances produced in two submerged membrane bioreactors working at high sludge age

This research paper deals with the evolution of the extracellular polymeric substances (EPS) produced in the mixed liquor of two 25 L bench-scale membrane bioreactors (MBRs), with micro (MF-MBR) and ultrafiltration (UF-MBR) submerged membranes. The conclusion focuses on the relationship between the operation and how EPS respond, demonstrating that significant changes in EPS concentration were commonly observed when abrupt changes in the operational conditions took place. Bound EPS (EPSb) showed moderate positive statistical correlations with sludge age and MLSS for the two MBRs. Soluble EPS (EPSs), on the other hand, showed a moderate negative statistical correlation between EPSs with the two parameters analyzed for MF-MBR and no correlation with the UF-MBR was found. With respect to the composition of EPS, EPSb were mostly made up of proteins (44–46%) whereas in EPSs, the three components (proteins, carbohydrates, and humic substances) appeared in approximately the same proportion. The statistical analysis exhibited strong positive correlations between EPSb and their constituents, however for EPSs, the correlation was strong only with carbohydrates and moderate with humic substances.

Exploring synonymous codon usage preferences of disulfide-bonded and non-disulfide bonded cysteines in the E-coli genome

High-quality data about protein structures and their gene sequences are essential to the understanding of the relationship between protein folding and protein coding sequences. Firstly we constructed the EcoPDB database, which is a high-quality database of Escherichia coli genes and their corresponding PDB structures. Based on EcoPDB, we presented a novel approach based on information theory to investigate the correlation between cysteine synonymous codon usages and local amino acids flanking cysteines, the correlation between cysteine synonymous codon usages and synonymous codon usages of local amino acids flanking cysteines, as well as the correlation between cysteine synonymous codon usages and the disulfide bonding states of cysteines in the E. coli genome. The results indicate that the nearest neighboring residues and their synonymous codons of the C-terminus have the greatest influence on the usages of the synonymous codons of cysteines and the usage of the synonymous codons has a specific correlation with the disulfide bond formation of cysteines in proteins. The correlations may result from the regulation mechanism of protein structures at gene sequence level and reflect the biological function restriction that cysteines pair to form disulfide bonds. The results may also be helpful in identifying residues that are important for synonymous codon selection of cysteines to introduce disulfide bridges in protein engineering and molecular biology. The approach presented in this paper can also be utilized as a complementary computational method and be applicable to analyse the synonymous codon usages in other model organisms. (c) 2005 Elsevier Ltd. All rights reserved.

A review of plasma endothelin-1 levels in CABG patient group

Introduction: Endothelin-1 is a potent vasoconstricting growth peptide. In physiologic conditions basal levels maintain vascular homeostasis, conversely in pathological situations it may be expressed in response to chronic and acute vascular injury. Elevated levels of plasma ET-1 have been identified in sub-populations at risk of ischaemic heart disease (IHD) including smokers, diabetics and hyerlipidaemic subjects and in patients with atherosclerotic disease. This peptide may be chronically expressed, such as in congestive heart failure where it has been used as a prognostic marker of disease severity and also acutely, after cardiac revascularisation surgery, possibly as a result of endothelial injury and ischaemia. Aims: The objectives of this study were to (1) identify basal endothelin-1 concentrations in a young healthy control group with no risk factors for IHD (control group 1); (2) to compare; (1) venous plasma ET-1 levels preoperatively and post-operatively in patients undergoing CABG surgery, (3) to compare pre-operative plasma ET-1 levels from the CABG group with an age and gender matched control group (control group 2) and (4) combine all three groups to assess correlations between plasma ET-1 and the various risk factors for IHD, including smoking, hypertension, hyperlipidemia, diabetes and family history. Methods: Venous specimens were collected in chilled EDTA tubes and samples measured using an ELISA assay (Biomedica), following the standard protocol for human EDTA plasma. Results: Forty CABG patients (5F, 35M, mean age 66 yrs), 15 control group 1 subjects (8F, 7M, mean age 29 yrs) and 30 control group 2 subjects (5F, 25M, mean age 61 yrs) participated in the study. No significant difference was detected in plasma ET-1 levels between the controls (1) and (2), and the CABG group, where plasma ET-1 levels were 3.37+/ 5.19 pmol/L, 1.99+/3.74 pmol/L and 1.28+/1.27 pmol/L, respectively. There was a non-significant elevation in post-op ET-1 plasma in comparison with the pre-op levels (2.50+/0.51 Vs 1.45+/6.44). There were also no statistical correlation between risk factors for IHD including smoking, hypertension, NIDDM, hyperlipidemia or family history when data from both patient and controls groups was merged. Conclusion: Contrary to other findings, plasma ET-1 does not appear to a valid marker for IHD or factors which are strongly associated with the pathogenesis of this disease.

Monitoramento por microcontrolador do cultivo de spirulina em fotobiorreator raceway

A oportunidade de produção de biomassa microalgal tem despertado interesse pelos diversos destinos que a mesma pode ter, seja na produção de bioenergia, como fonte de alimento ou servindo como produto da biofixação de dióxido de carbono. Em geral, a produção em larga escala de cianobactérias e microalgas é feita com acompanhamento através de análises físicoquímicas offline. Neste contexto, o objetivo deste trabalho foi monitorar a concentração celular em fotobiorreator raceway para produção de biomassa microalgal usando técnicas de aquisição digital de dados e controle de processos, pela aquisição de dados inline de iluminância, concentração de biomassa, temperatura e pH. Para tal fim foi necessário construir sensor baseado em software capaz de determinar a concentração de biomassa microalgal a partir de medidas ópticas de intensidade de radiação monocromática espalhada e desenvolver modelo matemático para a produção da biomassa microalgal no microcontrolador, utilizando algoritmo de computação natural no ajuste do modelo. Foi projetado, construído e testado durante cultivos de Spirulina sp. LEB 18, em escala piloto outdoor, um sistema autônomo de registro de informações advindas do cultivo. Foi testado um sensor de concentração de biomassa baseado na medição da radiação passante. Em uma segunda etapa foi concebido, construído e testado um sensor óptico de concentração de biomassa de Spirulina sp. LEB 18 baseado na medição da intensidade da radiação que sofre espalhamento pela suspensão da cianobactéria, em experimento no laboratório, sob condições controladas de luminosidade, temperatura e fluxo de suspensão de biomassa. A partir das medidas de espalhamento da radiação luminosa, foi construído um sistema de inferência neurofuzzy, que serve como um sensor por software da concentração de biomassa em cultivo. Por fim, a partir das concentrações de biomassa de cultivo, ao longo do tempo, foi prospectado o uso da plataforma Arduino na modelagem empírica da cinética de crescimento, usando a Equação de Verhulst. As medidas realizadas no sensor óptico baseado na medida da intensidade da radiação monocromática passante através da suspensão, usado em condições outdoor, apresentaram baixa correlação entre a concentração de biomassa e a radiação, mesmo para concentrações abaixo de 0,6 g/L. Quando da investigação do espalhamento óptico pela suspensão do cultivo, para os ângulos de 45º e 90º a radiação monocromática em 530 nm apresentou um comportamento linear crescente com a concentração, apresentando coeficiente de determinação, nos dois casos, 0,95. Foi possível construir um sensor de concentração de biomassa baseado em software, usando as informações combinadas de intensidade de radiação espalhada nos ângulos de 45º e 135º com coeficiente de determinação de 0,99. É factível realizar simultaneamente a determinação inline de variáveis do processo de cultivo de Spirulina e a modelagem cinética empírica do crescimento do micro-organismo através da equação de Verhulst, em microcontrolador Arduino.

Caracterização dos fatores contribuintes em acidentes de pequenas aeronaves da aviação geral brasileira utilizando inteligência artificial

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Civil e Ambiental, 2016.

Structure and representation of correlation functions and the density matrix for a statistical wave field in optics

A systematic structure analysis of the correlation functions of statistical quantum optics is carried out. From a suitably defined auxiliary two‐point function we are able to identify the excited modes in the wave field. The relative simplicity of the higher order correlation functions emerge as a byproduct and the conditions under which these are made pure are derived. These results depend in a crucial manner on the notion of coherence indices and of unimodular coherence indices. A new class of approximate expressions for the density operator of a statistical wave field is worked out based on discrete characteristic sets. These are even more economical than the diagonal coherent state representations. An appreciation of the subtleties of quantum theory obtains. Certain implications for the physics of light beams are cited.

Statistical Monitoring of Dynamic Multivariate Processes: Part I: Modeling Auto- and Cross-Correlation

The work in this paper is of particular significance since it considers the problem of modelling cross- and auto-correlation in statistical process monitoring. The presence of both types of correlation can lead to fault insensitivity or false alarms, although in published literature to date, only autocorrelation has been broadly considered. The proposed method, which uses a Kalman innovation model, effectively removes both correlations. The paper (and Part 2 [2]) has emerged from work supported by EPSRC grant GR/S84354/01 and is of direct relevance to problems in several application areas including chemical, electrical, and mechanical process monitoring.

Interactive Correlation Environment (ICE) - A Statistical Web Tool for Data Collinearity Analysis

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

Kernel density correlation based non-rigid point set matching for statistical model-based 2D/3D reconstruction

This paper presents a kernel density correlation based nonrigid point set matching method and shows its application in statistical model based 2D/3D reconstruction of a scaled, patient-specific model from an un-calibrated x-ray radiograph. In this method, both the reference point set and the floating point set are first represented using kernel density estimates. A correlation measure between these two kernel density estimates is then optimized to find a displacement field such that the floating point set is moved to the reference point set. Regularizations based on the overall deformation energy and the motion smoothness energy are used to constraint the displacement field for a robust point set matching. Incorporating this non-rigid point set matching method into a statistical model based 2D/3D reconstruction framework, we can reconstruct a scaled, patient-specific model from noisy edge points that are extracted directly from the x-ray radiograph by an edge detector. Our experiment conducted on datasets of two patients and six cadavers demonstrates a mean reconstruction error of 1.9 mm