988 resultados para Ácido fenólico glicolipídico-1. (PGL1). Hanseníase neural pura (HNP)


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Two sapoti tree accesses (Manilkara zapota), native plants of south of Mexico and of America Central, belonging to the Collection of Fruitful Native and Exotic of UNESP/FCAV, Jaboticabal Campus, was studied with relationship to the cutting propagation. The first test consisted of fast immersion of cutting base semi-herbaceous foliage of selected accesses FCAV-III and FCAV-VII. The ttreatments were alcoholic solution (50%) of indolbutiric acid (IBA) in concentrations of 0, 1,000, 3,000, 5,000 and 7,000 mgL(-1). and the cuttings preparing with and without latex exudate washing for a period of 14 hours in recipient with pure water. This trial was set in 5 x 2 x 2 factorial scheme (IBA concentrations x accesses x cutting preparation) The second test consisted the herbaceous foliage immersion of FCAV-III access in IBA concentrations above. Both experiments were distributed in randomized design with four replications and 10 cuttings each. All cuttings were collected in spring and prepared with about 12 cm of length, planted in medium texture vermiculite and carried under conditions intermittent mist spray flashing in chamber with 50% light. The two accesses tested not rooted and treatments were not able to induce the roots emission.

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This paper presents a new non-destructive testing (NDT) for reinforced concrete structures, in order to identify the components of their reinforcement. A time varying electromagnetic field is generated close to the structure by electromagnetic devices specially designed for this purpose. The presence of ferromagnetic materials (the steel bars of the reinforcement) immersed in the concrete disturbs the magnetic field at the surface of the structure. These field alterations are detected by sensors coils placed on the concrete surface. Variations in position and cross section (the size) of steel bars immersed in concrete originate slightly different values for the induced voltages at the coils.. The values for the induced voltages were obtained in laboratory tests, and multi-layer perceptron artificial neural networks with Levemberg-Marquardt training algorithm were used to identify the location and size of the bar. Preliminary results can be considered very good.

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Neural stem/progenitor cell (NSP) biology and neurogenesis in adult central nervous system (CNS) are important both towards potential future therapeutic applications for CNS repair, and for the fundamental function of the CNS. In the present study, we report the characterization of NSP population from subventricular zone (SVZ) of neonatal piglet brain using in vivo and in vitro systems. We show that the nestin and vimentin-positive neural progenitor cells are present in the SVZ of the lateral ventricles of neonatal piglet brain. In vitro, piglet NSPs proliferated as neurospheres, expressed the typical protein of neural progenitors, nestin and a range of well-established neurodevelopmental markers. Upon dissociation and subculture, piglet NSPs differentiated into neurons and glial cells. Clonal analysis demonstrates that piglet NSPs are multi-potent and retain the capacity to generate both glia and neurons. These cells expressed VEGF, VEGFR1, VEGFR2 and Neuropilin-1 and -2 mRNAs. Real time PCR revealed that SVZ NSPs from newborn piglet expressed total VEGF and all VEGF splice variants. These findings show that piglet NSPs may be helpful to more effectively design growth factor based strategies to enhance endogenous precursor cells for cell transplantation studies potentially leading to the application of this strategy in the nervous system disease and injury.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Calla lily (Zantedeschia aethiopica) is appreciated as cut flower and for the composition of gardens. However, many pathogens affect this species. By the traditional method of propagation, some units of new seedlings can only be produced annually. Tissue culture allows fast large-scale clonal propagation and provides healthy uniform plants. During the in vitro process, type and concentration of growth regulator could affect the growth of seedlings. Thus, the aim of this work was to determine sucrose and GA(3) concentrations to increase the efficiency of the in vitro multiplication of calla lily. After 60 days, the length of the above ground part and the roots, the number of sprouts, roots and leaves, above ground part and root fresh weight of seedlings were evaluated. The experimental design was entirely randomized with four replications. It was necessary the addition of 60.5 g L-1 sucrose associated to 5 mg L-1 GA(3) to obtain hight sprouts number. For higher length of the above ground part the addition of 45.3 g L-1 sucrose and 10 mg L-1 GA(3) was enough. Better results in the root length and number of roots were observed only in the sucrose presence, in concentrations in the range of 51.13 - 56.5 g L-1.

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In eighteen dogs, the effects of halothane (0,75% and 1,5%) associated with a normo and hypercapnia (PaCO2 from 30 to 80 mmHg) on acid-base balance were studied. Determinations of creatine clearance, urinary flow, urinary acid excretion, and urinary ammonium excretion were made. Based on the results, it is concluded that halothane associated with hypercapnia decreases the glomerular filtration rate, the urinary flow, the urinary pH and the urinary bicarbonate and sodium excretion, increases the plasmatic bicarbonate concentration, the bicarbonate reabsorbed, the urinary acid excretion and the urinary ammonium excretion, but does not alter the base excess.

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The Backpropagation Algorithm (BA) is the standard method for training multilayer Artificial Neural Networks (ANN), although it converges very slowly and can stop in a local minimum. We present a new method for neural network training using the BA inspired on constructivism, an alphabetization method proposed by Emilia Ferreiro based on Piaget philosophy. Simulation results show that the proposed configuration usually obtains a lower final mean square error, when compared with the standard BA and with the BA with momentum factor.

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In this article, an implementation of structural health monitoring process automation based on vibration measurements is proposed. The work presents an alternative approach which intent is to exploit the capability of model updating techniques associated to neural networks to be used in a process of automation of fault detection. The updating procedure supplies a reliable model which permits to simulate any damage condition in order to establish direct correlation between faults and deviation in the response of the model. The ability of the neural networks to recognize, at known signature, changes in the actual data of a model in real time are explored to investigate changes of the actual operation conditions of the system. The learning of the network is performed using a compressed spectrum signal created for each specific type of fault. Different fault conditions for a frame structure are evaluated using simulated data as well as measured experimental data.

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The skin pigmentation caused by ultraviolet light irradiation as a defense against the carcinogenic action of solar light may lead to early skin aging and to hyperchromia, which treatment requires the use of photo-protective, depigmenting and rejuvenating agents. Recently, there have been used many substances for the prevention and/or treatment of skin aging as well as to lowering the skin pigmentation. Glycolic acid is the alpha-hydroxy acid most commonly used in cosmetic and dermatological prepatations. This use is due to its depigmentating and rejuvenating properties and its efficacy at different concentrations, when incorporated to different kind of excipients.

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Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with feedback connections provide a computing model capable of solving a large class of optimization problems. This paper presents a novel approach for solving dynamic programming problems using artificial neural networks. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points which represent solutions (not necessarily optimal) for the dynamic programming problem. Simulated examples are presented and compared with other neural networks. The results demonstrate that proposed method gives a significant improvement.

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A simple constant-current electrocutaneous stimulator for high-impedance loads using low-cost, standard high-voltage components is presented. A voltage-regulator powers an oscillator built across the primary of a transformer whose secondary delivers, after rectification, the high-voltage supply to switched current-mirrors in the driving stage. Since the compliance high-voltage is proportional to the stimulation current, overall power consumption is minimized. By adjusting the regulated voltage, control of the pulsed-current amplitude is achieved. A prototype with readily available components features stimulation currents of amplitude and pulsewidth in the range 0≤Iskin≤20mA and 50μs ≤Tpulse≤1ms, respectively. Pulse-repetition spans from 1 Hz to 10Hz. Worst-case ripple is 3.7% @Iskin=1mA. Measured pulse fall-time is shorter than 32μs. Overall consumption is 4.4W @Iskin=20mA. Subject isolation from line is 4KV.

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Fungi producing γ-linolenic acid (GLA) were isolated from soil of the Ecological Station of Juréia-Itatins, SP. This essential fatty acid has aroused great interest due to its increasing by applications in pharmaceutical industry. The GLA production by zygomycetous fungi is an alternative way of comparing seed extraction. Thirty-two zygomycetous strains of Mucorales were isolated, most of them belonging to Mucor genus. The GLA production was evaluated after 4 days of incubation at 25°C on a rotary shaker at 150 rpm in medium containing 2% glucose, and 1% yeast extract, following new medium addition (20%) and incubation for an additional period of 3 days at 12°C, without agitation. The GLA production varied according to the microorganism and the strain.

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Retinoic acid, which has been prescribed for some forms of acne since 1962, is subject to isomerization provoked by atmospheric oxygen and ambient light. Therefore it is very important to keep this material intact through the use of antioxidants. We tested two antioxidants: various concentrations of butylhydroxytoluene or BHT, widely used in cosmetic and dermatological preparations, and vitamin E, found in grape oil, an ingredient of skin lotion. Recently prepared lotions were subject to heat stress and the residual concentrations of retinoic acid determined at predetermined intervals through UV spectrophotometry. The shelf life of the various preparations were determined by the Arrhenius equation. The antioxidants helped conserve the retinoic acid, however, there was no synergism in antioxidant activity between the vitamin E in the grape seed oil and BHT.

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This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, the scaling and translation of the postsynaptic functions at each node, and the use of the gradient-descendent method for the adjustment in an iterative way. Besides, the neural network also uses an adaptive process based on fuzzy logic to adjust the network training rate. This methodology provides an efficient modification of the neural network that results in faster convergence and more precise results, in comparison to the conventional formulation Backpropagation algorithm. The adapting of the training rate is effectuated using the information of the global error and global error variation. After finishing the training, the neural network is capable to forecast the electric load of 24 hours ahead. To illustrate the proposed methodology it is used data from a Brazilian Electric Company. © 2003 IEEE.

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The neuromodulatory effect of nitric oxide (NO) on glutamatergic transmission within the NTS related to cardiovascular regulation has been widely investigated. Activation of glutamatergic receptors in the NTS stimulates the production and release of NO and other nitrosyl substances with neurotransmitter/neuromodulator properties. The presence of NOS, including the protein nNOS and its mRNA in vagal afferent terminals in the NTS and nodose ganglion cells suggest that NO can act on glutamatergic transmission. We previously reported that iontophoresis of L-NAME on NTS neurons receiving vagal afferent inputs significantly decreased the number of action potentials evoked by iontophoretic application of AMPA. In addition, iontophoresis of the NO donor papaNONOate enhanced spontaneous discharge and the number of action potentials elicited by AMPA, suggesting that NO could be facilitating AMPA-mediated neuronal transmission within the NTS. Furthermore, the changes in renal sympathetic discharge during activation of baroreceptors and cardiopulmonary receptors involve activation of AMPA and NMDA receptors in the NTS and these responses are attenuated by microinjection of L-NAME in the NTS of conscious and anesthetized rats. Cardiovascular responses elicited by application of NO in the NTS are closely similar to those obtained after activation of vagal afferent inputs, and L-glutamate is the main neurotransmitter of vagal afferent fibers. In this review we discuss the possible neuromodulatory mechanisms of central produced/released NO on glutamatergic transmission within the NTS.