Polinização natural e artificial da cherimóia (Annona cherimola Mill.) no Estado de São Paulo

Para estudar o método de polinização da cherimóia (Annona cherimola Mill.) que produza frutos em maior quantidade e melhor qualidade, instalou-se experimento em Pedra Bela - SP, a 1150 metros de altitude. As plantas eram de pé-franco, de 20 anos de idade. O experimento foi realizado em dois períodos, tendo o primeiro se iniciado em novembro de 1999 e finalizado em junho de 2000; o segundo iniciou-se em novembro de 2000 e encerrado em junho de 2001. A montagem do experimento foi efetuada no delineamento de blocos ao acaso, com 3 tratamentos e 12 repetições. Os tratamentos foram os seguintes: 1) polinização natural; 2) polinização manual cruzada; 3) autopolinização (flores ensacadas). As plantas dos blocos foram polinizadas em diferentes dias. Avaliaram-se o vingamento dos frutos 10 dias após a polinização e a quantidade dos frutos com conformação perfeita ou defeituosa aos 40 dias. Após a colheita, os frutos foram pesados individualmente. Foram também amostrados dois frutos de cada bloco (em 1999) e três (em 2000), para as seguintes determinações: massa das sementes e da polpa, número de sementes por 100 gramas de polpa. A polinização artificial proporcionou maior vingamento de frutos (61,2% e 50,4%) em relação à polinização natural (19,6% e 3,3%), nos anos de 1999 e 2000, respectivamente. Foi mais efetiva quando realizada sob condições de temperatura variando de 17 ºC até 22 ºC e umidade relativa do ar entre 70 e 80 %. Verificou-se também aumento da porcentagem de frutos perfeitos (em 2000), da massa do fruto e do índice de sementes/100 g de polpa dos frutos polinizados artificialmente em relação aos polinizados naturalmente.

Efeito de horários de polinização artificial no pegamento e qualidade de frutos de pinha (Annona squamosa L.)

O Brasil tem se destacado como grande produtor de frutas, especialmente a pinha. A cultura é encontrada desde o norte do país até o estado de São Paulo. Atualmente, o cultivo desta fruteira se espalhou, com a ocorrência de grandes áreas em vários estados brasileiros. A polinização inadequada é um dos fatores limitantes na produção comercial destes frutos. Com o objetivo de estudar os efeitos da polinização artificial foram utilizadas 20 plantas provenientes de um pomar comercial de pinha localizado no município de Nova Porteirinha, Minas Gerais. As flores foram polinizadas no estádio de fêmea por meio do uso de um pincel número dois. O delineamento experimental foi inteiramente casualizado. Os tratamentos foram compostos de seis horários de polinização (5, 6, 7, 8, 9 e 10 horas), com cinco repetições, utilizando-se 10 flores por parcela. Foram avaliados a porcentagem de pegamento dos frutos, o comprimento, o diâmetro e o peso dos frutos, a porcentagem de frutos desuniformes, o peso da casca, polpa e sementes, o número de sementes e o teor de sólidos solúveis totais. Os melhores tratamentos para as características de peso de frutos e porcentagem de pegamento foram obtidos entre 6 e 10 horas. O teor de sólidos solúveis totais não foi afetado. Foram detectadas correlações positivas e significativas para os seguintes pares de caracteres: peso de fruto e diâmetro e peso de fruto e peso de casca.

Artificial evolution on network structures : how time and space influence dynamics

Abstract The main objective of this work is to show how the choice of the temporal dimension and of the spatial structure of the population influences an artificial evolutionary process. In the field of Artificial Evolution we can observe a common trend in synchronously evolv¬ing panmictic populations, i.e., populations in which any individual can be recombined with any other individual. Already in the '90s, the works of Spiessens and Manderick, Sarma and De Jong, and Gorges-Schleuter have pointed out that, if a population is struc¬tured according to a mono- or bi-dimensional regular lattice, the evolutionary process shows a different dynamic with respect to the panmictic case. In particular, Sarma and De Jong have studied the selection pressure (i.e., the diffusion of a best individual when the only selection operator is active) induced by a regular bi-dimensional structure of the population, proposing a logistic modeling of the selection pressure curves. This model supposes that the diffusion of a best individual in a population follows an exponential law. We show that such a model is inadequate to describe the process, since the growth speed must be quadratic or sub-quadratic in the case of a bi-dimensional regular lattice. New linear and sub-quadratic models are proposed for modeling the selection pressure curves in, respectively, mono- and bi-dimensional regu¬lar structures. These models are extended to describe the process when asynchronous evolutions are employed. Different dynamics of the populations imply different search strategies of the resulting algorithm, when the evolutionary process is used to solve optimisation problems. A benchmark of both discrete and continuous test problems is used to study the search characteristics of the different topologies and updates of the populations. In the last decade, the pioneering studies of Watts and Strogatz have shown that most real networks, both in the biological and sociological worlds as well as in man-made structures, have mathematical properties that set them apart from regular and random structures. In particular, they introduced the concepts of small-world graphs, and they showed that this new family of structures has interesting computing capabilities. Populations structured according to these new topologies are proposed, and their evolutionary dynamics are studied and modeled. We also propose asynchronous evolutions for these structures, and the resulting evolutionary behaviors are investigated. Many man-made networks have grown, and are still growing incrementally, and explanations have been proposed for their actual shape, such as Albert and Barabasi's preferential attachment growth rule. However, many actual networks seem to have undergone some kind of Darwinian variation and selection. Thus, how these networks might have come to be selected is an interesting yet unanswered question. In the last part of this work, we show how a simple evolutionary algorithm can enable the emrgence o these kinds of structures for two prototypical problems of the automata networks world, the majority classification and the synchronisation problems. Synopsis L'objectif principal de ce travail est de montrer l'influence du choix de la dimension temporelle et de la structure spatiale d'une population sur un processus évolutionnaire artificiel. Dans le domaine de l'Evolution Artificielle on peut observer une tendence à évoluer d'une façon synchrone des populations panmictiques, où chaque individu peut être récombiné avec tout autre individu dans la population. Déjà dans les année '90, Spiessens et Manderick, Sarma et De Jong, et Gorges-Schleuter ont observé que, si une population possède une structure régulière mono- ou bi-dimensionnelle, le processus évolutionnaire montre une dynamique différente de celle d'une population panmictique. En particulier, Sarma et De Jong ont étudié la pression de sélection (c-à-d la diffusion d'un individu optimal quand seul l'opérateur de sélection est actif) induite par une structure régulière bi-dimensionnelle de la population, proposant une modélisation logistique des courbes de pression de sélection. Ce modèle suppose que la diffusion d'un individu optimal suit une loi exponentielle. On montre que ce modèle est inadéquat pour décrire ce phénomène, étant donné que la vitesse de croissance doit obéir à une loi quadratique ou sous-quadratique dans le cas d'une structure régulière bi-dimensionnelle. De nouveaux modèles linéaires et sous-quadratique sont proposés pour des structures mono- et bi-dimensionnelles. Ces modèles sont étendus pour décrire des processus évolutionnaires asynchrones. Différentes dynamiques de la population impliquent strategies différentes de recherche de l'algorithme résultant lorsque le processus évolutionnaire est utilisé pour résoudre des problèmes d'optimisation. Un ensemble de problèmes discrets et continus est utilisé pour étudier les charactéristiques de recherche des différentes topologies et mises à jour des populations. Ces dernières années, les études de Watts et Strogatz ont montré que beaucoup de réseaux, aussi bien dans les mondes biologiques et sociologiques que dans les structures produites par l'homme, ont des propriétés mathématiques qui les séparent à la fois des structures régulières et des structures aléatoires. En particulier, ils ont introduit la notion de graphe sm,all-world et ont montré que cette nouvelle famille de structures possède des intéressantes propriétés dynamiques. Des populations ayant ces nouvelles topologies sont proposés, et leurs dynamiques évolutionnaires sont étudiées et modélisées. Pour des populations ayant ces structures, des méthodes d'évolution asynchrone sont proposées, et la dynamique résultante est étudiée. Beaucoup de réseaux produits par l'homme se sont formés d'une façon incrémentale, et des explications pour leur forme actuelle ont été proposées, comme le preferential attachment de Albert et Barabàsi. Toutefois, beaucoup de réseaux existants doivent être le produit d'un processus de variation et sélection darwiniennes. Ainsi, la façon dont ces structures ont pu être sélectionnées est une question intéressante restée sans réponse. Dans la dernière partie de ce travail, on montre comment un simple processus évolutif artificiel permet à ce type de topologies d'émerger dans le cas de deux problèmes prototypiques des réseaux d'automates, les tâches de densité et de synchronisation.

Florescimento e frutificação do maracujazeiro-amarelo submetido à iluminação artificial, irrigação e sombreamento

O fotoperíodo, a temperatura do ar e a umidade do solo são fatores determinantes na produção do maracujazeiro-amarelo (Passiflora edulis Sims f. flavicarpa Deg). A sua baixa produção no período de agosto a novembro é conseqüência do não-florescimento e frutificação em função das condições climáticas. O trabalho teve por objetivo estudar a iluminação artificial associada ou não à irrigação, no florescimento e frutificação do maracujazeiro-amarelo. Compararam-se quatro sistemas de produção, combinando-se: iluminação artificial/irrigação/sombreamento; iluminação artificial/irrigação; iluminação artificial/sombreamento; iluminação artificial, e um tratamento-testemunha, em condições naturais. Os tratamentos foram submetidos a três diferentes épocas de iluminação (12 de abril, 27 de abril e 12 de maio). O experimento foi conduzido na área da Escola Técnica Agrícola de Adamantina-SP, na região da Alta Paulista, no período de abril a novembro de 1997. De acordo com os resultados, a iluminação artificial com e sem irrigação aumentou o número de flores, o número e a produção de frutos por área do maracujazeiro-amarelo. A irrigação não alterou o florescimento, a frutificação e a produtividade em maracujazeiro iluminado, mas reduziu o número de flores em ambiente sombreado. O sombreamento com e sem irrigação reduziu o número de flores. O tratamento iluminado/irrigado/sombreado aumentou a porcentagem de vingamento de frutos. O florescimento, a frutificação e a produção por área não foram significativamente alterados pelas diferentes épocas de iluminação.

Is the relationship between major depressive disorder and self-reported alcohol use disorder an artificial one ?

AIMS: Many studies have suggested a close relationship between alcohol use disorder (AUD) and major depressive disorder (MDD). This study aimed to test whether the relationship between self-reported AUD and MDD was artificially strengthened by the diagnosis of MDD. This association was tested comparing relationships between alcohol use and AUD for depressive people and non-depressive people. METHODS: As part of the Cohort Study on Substance Use Risk Factors, 4352 male Swiss alcohol users in their early twenties answered questions concerning their alcohol use, AUD and MDD at two time points. Generalized linear models for cross-sectional and longitudinal associations were calculated. RESULTS: For cross-sectional associations, depressive participants reported a higher number of AUD symptoms (β = 0.743, P < 0.001) than non-depressive participants. Moreover, there was an interaction (β = -0.204, P = 0.001): the relationship between alcohol use and AUD was weaker for depressive participants rather than non-depressive participants. For longitudinal associations, there were almost no significant relationships between MDD at baseline and AUD at follow-up, but the interaction was still significant (β = -0.249, P < 0.001). CONCLUSION: MDD thus appeared to be a confounding variable in the relationship between alcohol use and AUD, and self-reported measures of AUD seemed to be overestimated by depressive people. This result brings into question the accuracy of self-reported measures of substance use disorders. Furthermore, it adds to the emerging debate about the usefulness of substance use disorder as a concept, when heavy substance use itself appears to be a sensitive and reliable indicator.

Caracterização físico-química de frutos de maracujazeiro-amarelo submetidos à iluminação artificial, irrigação e sombreamento

O presente trabalho objetivou avaliar alguns parâmetros físicoquímicos de frutos de maracujazeiro-amarelo (Passiflora edulis Sims f. flavicarpa Deg) submetidos a diferentes sistemas de produção. Avaliaram-se o peso, o comprimento, o diâmetro, o teor de sólidos solúveis (SS) e a acidez titulável (AT) dos frutos, a relação SS/AT, o peso e o rendimento da polpa, a espessura da casca e o rendimento de suco. Compararam-se quatro sistemas de produção (iluminação artificial/irrigação/sombreamento, iluminação artificial/irrigação, iluminação artificial/sombreamento, iluminação artificial) e um tratamento-testemunha, em condições naturais. Os tratamentos foram submetidos a três diferentes épocas de iluminação (12 de abril, 27 de abril e 12 de maio). O experimento foi conduzido na área da Escola Técnica Agrícola de Adamantina - SP, na região da Alta Paulista, no período de abril a dezembro de 1997. Observou-se que, no período de junho a novembro, os diferentes sistemas de produção e as épocas de iluminação não alteraram o peso, o comprimento e o diâmetro médio dos frutos de maracujazeiro. A iluminação artificial, a irrigação e o sombreamento não influenciaram no teor de sólidos solúveis e na acidez dos frutos. Os frutos colhidos em agosto apresentaram teores de brix e de acidez maiores que os colhidos em dezembro. No mês de dezembro, no ambiente iluminado, irrigado e sombreado, verificou-se aumento do peso médio dos frutos, do peso da polpa e da espessura da casca, apesar de apresentarem menor produção. Em condições naturais, observou-se menor peso de frutos e de polpa, mas aumento no rendimento da polpa e do suco. O sombreamento artificial, na ausência de irrigação, promoveu a redução no peso e no rendimento de polpa e de suco.

La intel·ligència artificial i la seva aplicació a l'ensenyament

L'objectiu fonamental d'aquest article és mostrar com les técniques desenvolupades en intel'ligéncia artificial (lA) són d'una gran utilitat per tal de millorar el software destinat a I'ambit educatiu. Per a aixó, en primer Iloc, s'hi fa un breu resum de les finalitats i els objectius generals de les investigacions en lA realitzades fins al moment. Posteriorment, es descriuen les diferents aplicacions de la lA en I'educació dirigides als alumnes en tasques formatives i instructives, i als professors en tasques de disseny i planificació de les activitats docents. L'article acaba amb una reflexió sobre les tendéncies futures de la lA aplicada a I'educació.

Langevin equations with multiplicative noise: Application to domain growth

Langevin Equations of Ginzburg-Landau form, with multiplicative noise, are proposed to study the effects of fluctuations in domain growth. These equations are derived from a coarse-grained methodology. The Cahn-Hiliard-Cook linear stability analysis predicts some effects in the transitory regime. We also derive numerical algorithms for the computer simulation of these equations. The numerical results corroborate the analytical predictions of the linear analysis. We also present simulation results for spinodal decomposition at large times.

Readout schemes for low noise single-photon avalanche diodes fabricated in conventional HV-CMOS technologies

Three different pixels based on single-photon avalanche diodes for triggered applications, such as fluorescence lifetime measurements and high energy physics experiments, are presented. Each pixel consists of a 20µm x 100µm (width x length) single photon avalanche diode and a monolithically integrated readout circuit. The sensors are operated in the gated mode of acquisition to reduce the probability to detect noise counts interferring with real radiation events. Each pixel includes a different readout circuit that allows to use low reverse bias overvoltages. Experimental results demonstrate that the three pixels present a similar behaviour. The pixels get rid of afterpulses and present a reduced dark count probability by applying the gated operation. Noise figures are further improved by using low reverse bias overvoltages. The detectors exhibit an input dynamic range of 13.35 bits with short gated"on" periods of 10ns and a reverse bias overvoltage of 0.5V. The three pixels have been fabricated in a standard HV-CMOS process.

Tolerance and Relative Utility: Two Proposed Indices for Comparing Change in Clinical Measurement Noise Between Different Populations (Repeatability) or Measurement Methods (Agreement).

Reaching a consensus in terms of interchangeability and utility (i.e., disease detection/monitoring) of a medical device is the eventual aim of repeatability and agreement studies. The aim of the tolerance and relative utility indices described in this report is to provide a methodology to compare change in clinical measurement noise between different populations (repeatability) or measurement methods (agreement), so as to highlight problematic areas. No longitudinal data are required to calculate these indices. Both indices establish a metric of least to most effected across all parameters to facilitate comparison. If validated, these indices may prove useful tools when combining reports and forming the consensus required in the validation process for software updates and new medical devices.

HETEROTIC GROUP FORMATION IN PSIDIUM GUAJAVA L. BY ARTIFICIAL NEURAL NETWORK AND DISCRIMINANT ANALYSIS

ABSTRACT The present study aimed at evaluating the heterotic group formation in guava based on quantitative descriptors and using artificial neural network (ANN). For such, we evaluated eight quantitative descriptors. Large genetic variability was found for the eight quantitative traits in the 138 genotypes of guava. The artificial neural network technique determined that the optimal number of groups was three. The grouping consistency was determined by linear discriminant analysis, which obtained classification percentage of the groups, with a value of 86 %. It was concluded that the artificial neural network method is effective to detect genetic divergence and heterotic group formation.

Improving Pitch Tracking Performance in Hard Noise Conditions by a Preprocessing Based on Mathematical Morphology

In this paper we show how a nonlinear preprocessing of speech signal -with high noise- based on morphological filters improves the performance of robust algorithms for pitch tracking (RAPT). This result happens for a very simple morphological filter. More sophisticated ones could even improve such results. Mathematical morphology is widely used in image processing and has a great amount of applications. Almost all its formulations derived in the two-dimensional framework are easily reformulated to be adapted to one-dimensional context

Asymmetric stochastic switching driven by intrinsic molecular noise

Low-copy-number molecules are involved in many functions in cells. The intrinsic fluctuations of these numbers can enable stochastic switching between multiple steady states, inducing phenotypic variability. Herein we present a theoretical and computational study based on Master Equations and Fokker-Planck and Langevin descriptions of stochastic switching for a genetic circuit of autoactivation. We show that in this circuit the intrinsic fluctuations arising from low-copy numbers, which are inherently state-dependent, drive asymmetric switching. These theoretical results are consistent with experimental data that have been reported for the bistable system of the gallactose signaling network in yeast. Our study unravels that intrinsic fluctuations, while not required to describe bistability, are fundamental to understand stochastic switching and the dynamical relative stability of multiple states.

Physiological noise in human cerebellar fMRI.

OBJECTIVES: To compare physiological noise contributions in cerebellar and cerebral regions of interest in high-resolution functional magnetic resonance imaging (fMRI) data acquired at 7T, to estimate the need for physiological noise removal in cerebellar fMRI. MATERIALS AND METHODS: Signal fluctuations in high resolution (1 mm isotropic) 7T fMRI data were attributed to one of the following categories: task-induced BOLD changes, slow drift, signal changes correlated with the cardiac and respiratory cycles, signal changes related to the cardiac rate and respiratory volume per unit of time or other. [Formula: see text] values for all categories were compared across regions of interest. RESULTS: In this high-resolution data, signal fluctuations related to the phase of the cardiac cycle and cardiac rate were shown to be significant, but comparable between cerebellar and cerebral regions of interest. However, respiratory related signal fluctuations were increased in the cerebellar regions, with explained variances that were up to 80 % higher than for the primary motor cortex region. CONCLUSION: Even at a millimetre spatial resolution, significant correlations with both cardiac and respiratory RETROICOR components were found in all healthy volunteer data. Therefore, physiological noise correction is highly likely to improve the temporal signal-to-noise ratio (SNR) for cerebellar fMRI at 7T, even at high spatial resolution.