Coevolutionary networks: a novel approach to understanding the relationships of humans with the infectious agents

Human organism is interpenetrated by the world of microorganisms, from the conception until the death. This interpenetration involves different levels of interactions between the partners including trophic exchanges, bi-directional cell signaling and gene activation, besides genetic and epigenetic phenomena, and tends towards mutual adaptation and coevolution. Since these processes are critical for the survival of individuals and species, they rely on the existence of a complex organization of adaptive systems aiming at two apparently conflicting purposes: the maintenance of the internal coherence of each partner, and a mutually advantageous coexistence and progressive adaptation between them. Humans possess three adaptive systems: the nervous, the endocrine and the immune system, each internally organized into subsystems functionally connected by intraconnections, to maintain the internal coherence of the system. The three adaptive systems aim at the maintenance of the internal coherence of the organism and are functionally linked by interconnections, in such way that what happens to one is immediately sensed by the others. The different communities of infectious agents that live within the organism are also organized into functional networks. The members of each community are linked by intraconnections, represented by the mutual trophic, metabolic and other influences, while the different infectious communities affect each other through interconnections. Furthermore, by means of its adaptive systems, the organism influences and is influenced by the microbial communities through the existence of transconnections. It is proposed that these highly complex and dynamic networks, involving gene exchange and epigenetic phenomena, represent major coevolutionary forces for humans and microorganisms.

Horizontal stratification of the sand fly fauna (Diptera: Psychodidae) in a transitional vegetation between caatinga and tropical rain forest, state of Bahia, Brazil

A study about the horizontal stratification of the sand fly fauna in two distinct ecosystems, caatinga area, endemic for visceral leishmaniasis, and the tropical rain forest area, endemic for cutaneous leishmaniasis, was performed in the state of Bahia, Brazil. Lutzomyia longipalpis was predominant in the caatinga, and following it came the species L. capixaba and L. oswaldoi. In the tropical rain forest other species were found, such as L. intermedia, L. migonei, L. whitmani, L. yuilli, L.fischeri, L. damascenoi, L. evandroi, L. monticola, and L. lenti. It was found that the geographical limits of the vector species of visceral and cutaneous leishmaniasis are clearly defined by the biological and phytogeographic characteristics.

Autochthonous horizontal transmission of a CRF02_AG strain revealed by a human immunodeficiency virus type 1 diversity survey in a small city in inner state of Rio de Janeiro, Southeast Brazil

As part of an ongoing study on the features of AIDS spread towards small cities and rural areas, we present a molecular survey of human immunodeficiency virus type 1 (HIV-1) polymerase sequences recovered between 2004 and 2006 from 71 patients receiving care in the city of Saquarema, inner state of Rio de Janeiro. Phylogenetic reconstructions found the two prevalent lineages in the state (subtypes B [59 strains, 83.1%], F1 [6 strains; 8.4%], and BF1 recombinants [four strains; 5.6%]), as well as two (2.8%) CRF02_AG strains, which seems to be an emerging lineage in the capital. These CRF02_AG sequences were recovered from a married heterosexual couple who never traveled abroad, thus providing the first molecular evidence of autochthonous horizontal transmission of this lineage of major global importance. Also, three phylogenetic clusters of strains recovered from a total of 18.3% of the cohort were uncovered. Their close genetic relatedness suggests they were recovered from patients who probably took part in the same chain of viral spread. In conjunction with our previous surveys from inner Rio de Janeiro, these results suggest that although small cities harbor unique molecular features of HIV-1 infection, they also clearly reflect and may rapidly absorb the diversity recorded in large urban centers.

Networks in Argentine agriculture: a multiple-case study approach

Argentina is among the four largest producers of soybeans, sunflower, corn, and wheat, among other agricultural products. Institutional and policy changes during the 1990s fostered the development of Argentine agriculture and the introduction of innovative process and product technologies (no-till, agrochemicals, GMO, GPS) and new investments in modern, large-scale sunflower and soybean processing plants. In addition to technological changes, a "quiet revolution" occurred in the way agricultural production was carried out and organized: from self-production or ownership agriculture to a contract-based agriculture. The objective of this paper is to explore and describe the emergence of networks in the Argentine crop production sector. The paper presents and describes four cases that currently represent about 50% of total grain and oilseed production in Argentina: "informal hybrid form", "agricultural trust fund", "investor-oriented corporate structure", and "network of networks". In all cases, hybrid forms involve a group of actors linked by common objectives, mainly to gain scale, share resources, and improve the profitability of the business. Informal contracts seem to be the most common way of organizing the agriculture process, but using short-term contracts and sequential interfirm collaboration. Networks of networks involve long-term relationships and social development, and reciprocal interfirm collaboration. Agricultural trust fund and investor-oriented corporate structures have combined interfirm collaboration and medium-term relationships. These organizational forms are highly flexible and show a great capacity to adapt to challenges; they are competitive because they enjoy aligned incentives, flexibility, and adaptability.

Adolescent support networks in a health care context: the interface between health, family and education

AbstractOBJECTIVEAnalyze adolescents' perceptions about support networks and their health needs.METHODAnalytical and interpretive study using focus groups conducted in municipal state schools in Fortaleza, in the State of Ceará during the first semester of 2012. The sample comprised 36 male and female adolescents aged between 13 and 16 years attending the ninth grade of the second phase of elementary school.RESULTSThematic analysis revealed that the health care support network and interaction between health professionals, education professionals and family members was insufficient, constituting a lack of an integrated network to enable and provide support for health promotion.CONCLUSIONCoordination between education, health and family services has the potential to act as a support network to help meet adolescents' healthcare needs and demands.

Variabilidade horizontal de atributos de fertilidade e amostragem do solo no sistema plantio direto

As adubações, a lanço, quando desuniformes, ou as em linhas, no sistema plantio direto, aumentam a variabilidade dos atributos químicos do solo. Nestas condições, há necessidade de se saber qual a melhor forma e o número de subamostras por coletar para uma boa representatividade da fertilidade da área a ser cultivada. O objetivo deste estudo foi quantificar a variabilidade horizontal de atributos de fertilidade do solo no sistema plantio direto com diferentes modos de adubação e tempos de cultivo, com vistas em definir o número de subamostras necessárias para formar uma amostra representativa da fertilidade do solo de uma área. Foram coletadas, em novembro de 1997, 36 amostras simples, com pá de corte, na camada de 0-10 cm, de forma diferenciada nas adubações a lanço (5 e 10 cm, espessura da fatia e largura) e em linhas (5 cm de espessura da fatia pela largura das entrelinhas de semeadura da última cultura), em oito lavouras comerciais na região noroeste do Rio Grande do Sul. O número mínimo de subamostras para estimar com boa representatividade (α = 0,05 e erro em relação à média de 10%) o pH, o índice SMP e o teor de matéria orgânica foi baixo (menor do que 8) e alto (maior do que 40) para fósforo e potássio (Mehlich-1). O número de subamostras indicado para o sistema convencional (20) pode ser usado no sistema plantio direto, desde que seja admitido um erro de 20% em relação à média.

Variabilidade horizontal da fertilidade do solo de uma unidade de amostragem em sistema plantio direto

A coleta de amostras de solo com trado é mais simples e rápida do que com a pá de corte, sendo esta, freqüentemente, utilizada no sistema plantio direto para amostragem e determinação da fertilidade média do solo. Com o objetivo de comparar dois sistemas de amostragem localizada do solo (pá de corte ou trado de caneca) quanto à variabilidade horizontal de características químicas, determinar o número de unidades de amostra necessário à formação de uma amostra representativa da unidade de amostragem e demonstrar que a análise da amostra composta apresenta iguais resultados aos obtidos pelas médias aritméticas das análises das amostras simples, realizou-se um estudo em área há 15 anos sob sistema plantio direto. Os sistemas de amostragem localizada foram: pá de corte (24 amostras simples coletadas perpendicularmente ao sulco de plantio e no espaço compreendido entre os pontos médios entre sulcos) e trado (20 amostras simples coletadas no sulco de plantio (Ts), 20 amostras simples coletadas lateralmente a 10 cm do sulco (T10) e 20 amostras simples coletadas a 40 cm do sulco (T40)). Subamostras representativas das amostras simples foram misturadas, visando à formação de amostras compostas, tanto para pá de corte quanto para trado. Nas amostras simples e compostas foram determinados os teores de P, K, Ca2+, Mg2+ e Al3+ e os valores de pH, H + Al e P-rem. Foram calculadas as médias das determinações das amostras simples e das compostas, os desvios-padrão e os coeficientes de variação, sendo as médias comparadas pelo teste t de Student. Foi também calculado o número de amostras simples necessário à formação de uma amostra composta, para os dois sistemas de amostragem. Os resultados mostraram que apenas os teores de K e Mg2+ e os valores de H + Al diferiram de um método de amostragem para outro. Na amostragem com trado de caneca, a variabilidade de todas as características avaliadas foi maior do que na amostragem com pá de corte. A variabilidade foi baixa para pH, P-rem e H + Al e alta para P, Al3+, Mg2+, K e Ca2+. Dez amostras simples coletadas com pá de corte ou 27 amostras simples coletadas de forma localizada com trado de caneca (cinco amostras coletadas no sulco de plantio, nove coletadas a 10 cm do sulco e 13 coletadas no ponto médio entre sulcos) foram necessárias à formação de amostras compostas representativas. As análises das amostras compostas, tanto de pá de corte quanto de trado, apresentaram valores semelhantes às médias das análises das respectivas amostras simples, caracterizando corretamente a fertilidade média da unidade de amostragem.

Espacialização vertical e horizontal dos indicadores de qualidade para um latossolo vermelho cultivado com citros

O objetivo deste trabalho foi verificar a forma de espacialização vertical e horizontal dos indicadores de qualidade química, física e hídrica de um Latossolo Vermelho distrófico textura média, cultivado com citros. O pomar de laranjeira Valência sobre limoeiro Cravo foi plantado em 1995, em Alto Paraná, região noroeste do Paraná. Em agosto de 2002, coletaram-se amostras deformadas e indeformadas de solo para realizar determinações químicas, físicas e hídricas. A amostragem foi feita em 24 transeções perpendiculares aos troncos das laranjeiras, em duas profundidades (0-0,20 e 0,20-0,40 m) e em três posições (projeção da copa da laranjeira, rodado da entrelinha e centro da entrelinha). Os indicadores avaliados foram submetidos às análises multivariadas, por meio dos componentes principais, e agrupados pelo método de Tocher. Os resultados demonstraram que a qualidade do solo apresentou espacialização heterogênea entre os indicadores de qualidade física, química e hídrica do solo, resultante das ações de manejo do pomar de laranjeira. A integração dos indicadores de qualidade física, química e hídrica do solo caracterizou a espacialização vertical da qualidade do solo (0-0,40 m) na projeção da copa da laranjeira e a espacialização vertical e horizontal (0-0,20 e 0,20-0,40 m) no rodado da entrelinha e centro da entrelinha. No rodado da entrelinha (0-0,20 m) ocorreu a maior restrição física e hídrica associada à melhor condição química do solo para as laranjeiras.

Modeling water movement in horizontal columns using fractal theory

Fractal mathematics has been used to characterize water and solute transport in porous media and also to characterize and simulate porous media properties. The objective of this study was to evaluate the correlation between the soil infiltration parameters sorptivity (S) and time exponent (n) and the parameters dimension (D) and the Hurst exponent (H). For this purpose, ten horizontal columns with pure (either clay or loam) and heterogeneous porous media (clay and loam distributed in layers in the column) were simulated following the distribution of a deterministic Cantor Bar with fractal dimension H" 0.63. Horizontal water infiltration experiments were then simulated using Hydrus 2D software. The sorptivity (S) and time exponent (n) parameters of the Philip equation were estimated for each simulation, using the nonlinear regression procedure of the statistical software package SAS®. Sorptivity increased in the columns with the loam content, which was attributed to the relation of S with the capillary radius. The time exponent estimated by nonlinear regression was found to be less than the traditional value of 0.5. The fractal dimension estimated from the Hurst exponent was 17.5 % lower than the fractal dimension of the Cantor Bar used to generate the columns.

Comparison between artificial neural networks and maximum likelihood classification in digital soil mapping

Soil surveys are the main source of spatial information on soils and have a range of different applications, mainly in agriculture. The continuity of this activity has however been severely compromised, mainly due to a lack of governmental funding. The purpose of this study was to evaluate the feasibility of two different classifiers (artificial neural networks and a maximum likelihood algorithm) in the prediction of soil classes in the northwest of the state of Rio de Janeiro. Terrain attributes such as elevation, slope, aspect, plan curvature and compound topographic index (CTI) and indices of clay minerals, iron oxide and Normalized Difference Vegetation Index (NDVI), derived from Landsat 7 ETM+ sensor imagery, were used as discriminating variables. The two classifiers were trained and validated for each soil class using 300 and 150 samples respectively, representing the characteristics of these classes in terms of the discriminating variables. According to the statistical tests, the accuracy of the classifier based on artificial neural networks (ANNs) was greater than of the classic Maximum Likelihood Classifier (MLC). Comparing the results with 126 points of reference showed that the resulting ANN map (73.81 %) was superior to the MLC map (57.94 %). The main errors when using the two classifiers were caused by: a) the geological heterogeneity of the area coupled with problems related to the geological map; b) the depth of lithic contact and/or rock exposure, and c) problems with the environmental correlation model used due to the polygenetic nature of the soils. This study confirms that the use of terrain attributes together with remote sensing data by an ANN approach can be a tool to facilitate soil mapping in Brazil, primarily due to the availability of low-cost remote sensing data and the ease by which terrain attributes can be obtained.

Artificial neural networks applied for soil class prediction in mountainous landscape of the Serra do Mar¹

Soil information is needed for managing the agricultural environment. The aim of this study was to apply artificial neural networks (ANNs) for the prediction of soil classes using orbital remote sensing products, terrain attributes derived from a digital elevation model and local geology information as data sources. This approach to digital soil mapping was evaluated in an area with a high degree of lithologic diversity in the Serra do Mar. The neural network simulator used in this study was JavaNNS and the backpropagation learning algorithm. For soil class prediction, different combinations of the selected discriminant variables were tested: elevation, declivity, aspect, curvature, curvature plan, curvature profile, topographic index, solar radiation, LS topographic factor, local geology information, and clay mineral indices, iron oxides and the normalized difference vegetation index (NDVI) derived from an image of a Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor. With the tested sets, best results were obtained when all discriminant variables were associated with geological information (overall accuracy 93.2 - 95.6 %, Kappa index 0.924 - 0.951, for set 13). Excluding the variable profile curvature (set 12), overall accuracy ranged from 93.9 to 95.4 % and the Kappa index from 0.932 to 0.948. The maps based on the neural network classifier were consistent and similar to conventional soil maps drawn for the study area, although with more spatial details. The results show the potential of ANNs for soil class prediction in mountainous areas with lithological diversity.

Distribuição horizontal e vertical de fósforo em sistemas de cultivos exclusivos de soja e de integração lavoura-pecuária-floresta

O objetivo deste trabalho foi avaliar a distribuição horizontal e vertical do fósforo no solo e a produtividade de soja em sistemas de cultivos exclusivos e de integração lavoura-pecuária-floresta (ILPF). Foram avaliados os tratamentos: floresta plantada de eucalipto; lavoura de soja e milho safrinha consorciado com Urochloa brizantha 'Marandu'; pastagem de U. brizantha; sistema de ILPF; e duas áreas controle, com floresta nativa e pousio. O solo foi coletado nas camadas de 0-5, 5-10, 10-20 e 20-30 cm, para determinação das características químicas. As avaliações foram realizadas no segundo ano agrícola após a implantação do experimento. No sistema de ILPF, solo e produtividade foram avaliados em quatro transectos equidistantes, no centro do renque e a 3, 6, 10 e 15 m do renque, nas faces norte e sul. Os teores de P disponível (Mehlich-1) foram maiores nas camadas superficiais do solo, nos sistemas com soja/milho safrinha e com ILPF. No ILPF, os teores de P disponível não diferiram entre as distâncias do renque das árvores, e a produtividade de soja não diferiu da observada no sistema com soja/milho safrinha. Portanto, com dois anos de implantação, o sistema ILPF ainda não é capaz de interferir marcadamente nas características químicas do solo e na produtividade da soja.

Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks

This study evaluates the application of an intelligent hybrid system for time-series forecasting of atmospheric pollutant concentration levels. The proposed method consists of an artificial neural network combined with a particle swarm optimization algorithm. The method not only searches relevant time lags for the correct characterization of the time series, but also determines the best neural network architecture. An experimental analysis is performed using four real time series and the results are shown in terms of six performance measures. The experimental results demonstrate that the proposed methodology achieves a fair prediction of the presented pollutant time series by using compact networks.

Description of epidemics of coffee rust with neural networks

The objective of this paper was to evaluate the potential of neural networks (NN) as an alternative method to the basic epidemiological approach to describe epidemics of coffee rust. The NN was developed from the intensities of coffee (Coffea arabica) rust along with the climatic variables collected in Lavras-MG between 13 February 1998 and 20 April 2001. The NN was built with climatic variables that were either selected in a stepwise regression analysis or by the Braincel® system, software for NN building. Fifty-nine networks and 26 regression models were tested. The best models were selected based on small values of the mean square deviation (MSD) and of the mean prediction error (MPE). For the regression models, the highest coefficients of determination (R²) were used. The best model developed with neural networks had an MSD of 4.36 and an MPE of 2.43%. This model used the variables of minimum temperature, production, relative humidity of the air, and irradiance 30 days before the evaluation of disease. The best regression model was developed from 29 selected climatic variables in the network. The summary statistics for this model were: MPE=6.58%, MSE=4.36, and R²=0.80. The elaborated neural networks from a time series also were evaluated to describe the epidemic. The incidence of coffee rust at four previous fortnights resulted in a model with MPE=4.72% and an MSD=3.95.

Dispersão vertical e horizontal de conídios de Stenocarpella macrospora e Stenocarpella maydis

Em experimentos conduzidos no campo, quantificaram-se a dispersão vertical e horizontal dos conídios de Stenocarpella maydis e S. macrospora liberados de palha de milho (Zea mays) naturalmente infetada. Verificou-se que 93% do número total de conídios de S. maydis e 88% de S. macrospora foram capturados durante o dia, diferindo estatisticamente do período noturno. O número de conídios de S. maydis e S. macrospora capturados no ar foi inversamente proporcional à distância da posição vertical e horizontal das armadilhas da fonte de inóculo. Os conídios foram capturados até uma altura de 2 m acima e distantes 120 m da fonte de inóculo. No entanto, em ambos experimentos, a freqüência e o número de esporos coletados foram maiores até 25 cm acima e 20 m distante da fonte de inóculo. Além disto, a dispersão dos conídios isolados ou agrupados no cirro, ocorreu livremente no ar, não necessitando estarem veiculados a gotículas d'água.