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.

Anatomy, chlorophyll content and photosynthetic potential in grapevine leaves under plastic cover

The present study evaluated the anatomy, chlorophyll content and photosynthetic potential of grapevine leaves grown under plastic cover. The experiment was carried out in vineyards of Moscato Giallo cultivar covered and uncovered with plastic. A block design with 10 selected plants was used for each area (covered and uncovered). Twelve leaves (six of them fully exposed to solar radiation and six grown under shaded conditions) were collected from each area and were fixed and analyzed microscopically (thickness of the adaxial and abaxial epidermis and of the palisade and spongy parenchymas). Chlorophyll content and photosynthetic potential were determined in the vineyard at veraison and after harvest. Plastic covering increased the thickness of the palisade parenchyma in exposed and shaded leaves due to solar radiation restriction. However, the leaves from the covered vineyard did not have the same response to the restriction of solar radiation, as observed in the uncovered vineyard. The thickness of the adaxial and abaxial epidermis and of the spongy parenchyma did not vary due to solar radiation restriction. Chlorophyll content increased in the leaves of covered plants. The photosynthetic potential of the vines is not affected by solar radiation restriction imposed by plastic cover due to anatomical modification in leaves.

Metabolic origin of δ15N values in nitrogenous compounds from Brassica napus L. leaves

Nitrogen isotope composition (δ15N) in plant organic matter is currently used as a natural tracer of nitrogen acquisition efficiency. However, the δ15N value of whole leaf material does not properly reflect the way in which N is assimilated because isotope fractionations along metabolic reactions may cause substantial differences among leaf compounds. In other words, any change in metabolic composition or allocation pattern may cause undesirable variability in leaf δ15N. Here, we investigated the δ15N in different leaf fractions and individual metabolites from rapeseed (Brassica napus) leaves. We show that there were substantial differences in δ15N between nitrogenous compounds (up to 30 ) and the content in (15N enriched) nitrate had a clear influence on leaf δ15N. Using a simple steady-state model of day metabolism, we suggest that the δ15N value in major amino acids was mostly explained by isotope fractionation associated with isotope effects on enzyme-catalysed reactions in primary nitrogen metabolism. δ15N values were further influenced by light versus dark conditions and the probable occurrence of alternative biosynthetic pathways. We conclude that both biochemical pathways (that fractionate between isotopes) and nitrogen sources (used for amino acid production) should be considered when interpreting the δ15N value of leaf nitrogenous compounds

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.

COMPARISON OF RNA EXTRACTION METHODS FOR Passiflora edulis SIMS LEAVES

ABSTRACT Functional genomic analyses require intact RNA; however, Passiflora edulis leaves are rich in secondary metabolites that interfere with RNA extraction primarily by promoting oxidative processes and by precipitating with nucleic acids. This study aimed to analyse three RNA extraction methods, Concert™ Plant RNA Reagent (Invitrogen, Carlsbad, CA, USA), TRIzol® Reagent (Invitrogen) and TRIzol® Reagent (Invitrogen)/ice -commercial products specifically designed to extract RNA, and to determine which method is the most effective for extracting RNA from the leaves of passion fruit plants. In contrast to the RNA extracted using the other 2 methods, the RNA extracted using TRIzol® Reagent (Invitrogen) did not have acceptable A260/A280 and A260/A230 ratios and did not have ideal concentrations. Agarose gel electrophoresis showed a strong DNA band for all of the Concert™ method extractions but not for the TRIzol® and TRIzol®/ice methods. The TRIzol® method resulted in smears during electrophoresis. Due to its low levels of DNA contamination, ideal A260/A280 and A260/A230 ratios and superior sample integrity, RNA from the TRIzol®/ice method was used for reverse transcription-polymerase chain reaction (RT-PCR), and the resulting amplicons were highly similar. We conclude that TRIzol®/ice is the preferred method for RNA extraction for P. edulis leaves.

Pathogenic attack and carbon reallocation in soybean leaves (Glycine max. L.): Reinitiation of the glyoxylate cycle as a defence reaction

Pathogenic attack by the fungus Botrytis cinerea (primary pathogen) on soybean leaves (Glycine max. L.; cv. Maple arrow) results in a hypersensitive response (necrotising infected leaves), in the establishment of local acquired resistance, as well as in the systemic induction of genes coding for pathogenesis-related proteins. It now appears that, concomitantly with these already well documented defence reactions, the pathogenic attack also induces the carbon reallocation mechanism based on the reinitiation of the glyoxylate cycle (pseudo-senescence of the infected leaves).

Bio-inspired Mechanisms for Artificial Self-organised Systems

Self-organization is a growing interdisciplinary field of research about a phenomenon that can be observed in the Universe, in Nature and in social contexts. Research on self-organization tries to describe and explain forms, complex patterns and behaviours that arise from a collection of entities without an external organizer. As researchers in artificial systems, our aim is not to mimic self-organizing phenomena arising in Nature, but to understand and to control underlying mechanisms allowing desired emergence of forms, complex patterns and behaviours. Rather than attempting to eliminate such self-organization in artificial systems, we think that this might be deliberately harnessed in order to reach desirable global properties. In this paper we analyze three forms of self-organization: stigmergy, reinforcement mechanisms and cooperation. The amplification phenomena founded in stigmergic process or in reinforcement process are different forms of positive feedbacks that play a major role in building group activity or social organization. Cooperation is a functional form for self-organization because of its ability to guide local behaviours in order to obtain a relevant collective one. For each forms of self-organisation, we present a case study to show how we transposed it to some artificial systems and then analyse the strengths and weaknesses of such an approach

Manipulador robótico con visión artificial

En los tiempos que corren la robótica forma uno de los pilares más importantes en la industria y una gran noticia para los ingenieros es la referente a las ventas de estos, ya que en 2013, unos 179.000 robots industriales se vendieron en todo el mundo, de nuevo un máximo histórico y un 12% más que en 2012 según datos de la IFR (International Federation of Robotics). Junto a esta noticia, la robótica colaborativa entra en juego en el momento que los robots y los seres humanos deben compartir el lugar de trabajo sin que nos veamos excluidos por las maquinas, por lo tanto lo que se intenta es que los robots mejoren la calidad del trabajo al hacerse cargo de los trabajos peligrosos, tediosos y sucios que no son posibles o seguros para los seres humanos. Otro concepto muy importante y directamente relacionado con lo anterior que está muy en boga y se escucha desde hace relativamente poco tiempo es el de la fabrica del futuro o “Factory Of The Future” la cual intenta que los operarios y los robots encuentren la sintonía en el entorno laboral y que los robots se consideren como maquinaria colaborativa y no como sustitutiva, considerándose como uno de los grandes nichos productivos en plena expansión. Dejando a un lado estos conceptos técnicos que nunca debemos olvidar si nuestra carrera profesional va enfocada en este ámbito industrial, el tema central de este proyecto está basado, como no podía ser de otro modo, en la robótica, que junto con la visión artificial, el resultado de esta fusión, ha dado un manipulador robótico al que se le ha dotado de cierta “inteligencia”. Se ha planteado un sencillo pero posible proceso de producción el cual es capaz de almacenar piezas de diferente forma y color de una forma autónoma solamente guiado por la imagen capturada con una webcam integrada en el equipo. El sistema consiste en una estructura soporte delimitada por una zona de trabajo en la cual se superponen unas piezas diseñadas al efecto las cuales deben ser almacenadas en su lugar correspondiente por el manipulador robótico. Dicho manipulador de cinemática paralela está basado en la tecnología de cables, comandado por cuatro motores que le dan tres grados de libertad (±X, ±Y, ±Z) donde el efector se encuentra suspendido sobre la zona de trabajo moviéndose de forma que es capaz de identificar las características de las piezas en situación, color y forma para ser almacenadas de una forma ordenada según unas premisas iníciales.

Fish colonization of artificial reefs in a large Neotropical reservoir: material type and successional changes

Artificial reefs have barely been used in Neotropical reservoirs (about five studies in three reservoirs), despite their potential as a fishery management tool to create new habitats and also to understand fish ecology. We experimentally assessed how reef material (ceramic, concrete, and PVC) and time modulated fish colonization of artificial reefs deployed in Itaipu Reservoir, a large reservoir of the mainstem Parana´ River, Brazil. Fish richness, abundance, and biomass were significantly greater in the reef treatments than at control sites. Among the experimental reefs, ceramic followed by the concrete treatments were the materials most effectively colonized, harboring the majority of the 13 fish species recorded. Although dependent on material type, many of the regularities of ecological successions were also observed in the artificial reefs, including decelerating increases in species richness, abundance, mean individual size, and species loss rates with time and decelerating decreases of species gain and turnover rates. Species composition also varied with material type and time, together with suites of life history traits: more equilibrium species (i.e., fishes of intermediate size that often exhibit parental care and produce fewer but larger offspring) of the Winemiller-Rose model of fish life histories prevailed in later successional stages. Overall, our study suggests that experimental reefs are a promising tool to understand ecological succession of fish assemblages, particularly in tropical ecosystems given their high species richness and low seasonality

Inteligencia artificial para la detección y el diagnóstico de fallos

L' ús de tècniques de la intel·ligència artificial per a la detecció, la diagnòsi i control d' errors

Chemical study of leaves of Chrysophyllum marginatum (Hook. & Arn.) Radlk (Sapotaceae)

The fractionation of the antioxidant ethyl acetate extract obtained from the dried leaves of Chrysophyllum marginatum afforded six substances identified as: alpha-amirin, gallic acid, myricitrin, quercitrin, (-)-epigallocatechin and (-)-epigallocatechin-3-O-gallate. This study contributes to the knowledge of the secondary metabolites produced by one more species of the Brazilian Flora, until now not investigated. Moreover, this study allowed the identification of three substances with antioxidant activity previously detected in this species.

Avaliação da fotodegradação de poliolefinas através de exposição natural e artificial

Samples of polypropylene (PP) and low-density polyethylene (LDPE) were submitted to ultraviolet radiation, in the natural environment and also in the laboratory. Chemical modifications were quantified by the carbonyl index (CI), mechanical properties and melt flow index. The degradation in the laboratory was comparatively faster than in the environment for both types of polymers. The accelerating factor was determined for the various properties investigated. This parameter, however, showed a large variation with the degradation criteria and the type of polymer. The existence of a "universal accelerating factor", therefore, was not observed in the current study.

Correlation of anti-inflammatory activity with phenolic content in the leaves of syzygium cumini (l.) skeels (myrtaceae)

Phenolic contents of extracts of Syzygium cumini leaves, collected monthly over a one-year period, were quantitatively determined by the modified Folin-Ciocalteau method. Extracts and tannin-free fractions were assayed by their potential to inhibit mouse paw edema induced by C48/80. HPLC showed high molecular weight phenolic species and flavonoids in the active extracts and fractions. The highest total phenolic content corresponded to the most potent degree of inhibition and the flavonoids were supposed to be the main species responsible for the activity, given that the flavonoid-enriched ethyl-acetate fraction maintained its effect down to a dose of 0.01 mg/kg in a dose-response manner.

Extraction, purification and biochemical characterization of a peroxidase from Copaifera langsdorffii leaves

The aim of this work is to obtain, purify and characterize biochemically a peroxidase from Copaifera langsdorffii leaves (COP). COP was obtained by acetone precipitation followed by ion-exchange chromatography. Purification yielded 3.5% of peroxidase with the purification factor of 46.86. The COP optimum pH is 6.0 and the temperature is 35 ºC. COP was stable in the pH range of 4.5 to 9.3 and at temperatures below 50.0 ºC. The apparent Michaelis-Menten constants (Km) for guaiacol and H2O2 were 0.04 mM and 0.39 mM respectively. Enzyme turnover was 0.075 s-1 for guaiacol and 0.28 s-1 for hydrogen peroxide. Copaifera langsdorffii leaves showed to be a rich source of active peroxidase (COP) during the whole year. COP could replace HRP, the most used peroxidase, in analytical determinations and treatment of industrial effluents at low cost.