Prospecção e caracterização de genes associados ao processo de indução floral em cana-de-açúcar

The northeastern region is responsible to 14.32% of sugarcane national production. This lowered contribution is due to edaphoclimatic condition. Flowering is a vital process to plant which consumes lots of energy and it culminates in a process called isoporization. This one can give in a decreasing of 60% on alcohol and water production. It may consider that cropped sugarcane has a hibrid with octaploid genome, there are varieties with a flowering standard until of non flowering. Using this natural genetic potential on different croppings of sugarcane, the aim of this work was to understand as this process occurs by the usage of subtractive approaches. The total RNA was extracted using Trizol of peaks of merisematics of croppings with induced flowering and other with late flowering. From this total RNA were built four subtractives libraries (B1- induced early flowering subtracted on late flowering not induced; B2- late flowering not induced subtracted induced early flowering; B3- induced early flowering subtracted of not induced early flowering; B02- not induced early flowering subtracted from induced early flowering) using kits Super Smart cDNA synthesis and BD Clontech kit select cDNA subtraction (Clontech). This material was clone don vector pGEM T-easy(Promega) and changed in competent cells of E.coli DH10B. Given analysis sequence was carried out a program BLASTn against database of NCBI and genome of Arabidopsis thaliana, rice and maize. Clones were grouped in 9 different classes according to function. Some factors already related as couples of flower induction were identified at different libraries. And grouped proteins with cell cycle and it controls were presents, mainly kinases proteins. Related factors to proteic sinthesis, metabolism, defence, cell communication were also given in both libraries .Some identified genes did not show similarity on database or homology with hypothesis function, and it can represents new genes to be deposited in international database. These results offers that some identified on sugarcane, classified as on factors classes, cell cycle and cell communication, trough unknown genes, can be linked with genetic changing to the flowering process found in the northeastern region

Caminhos para a universalização dos serviços de água e esgotos no Brasil: a atuação das entidades reguladoras para indução da eficiência dos prestadores de serviços

The deficit of water and sewerage services is a historic problem in Brazil. The introduction of a new regulatory framework, in 2007, presented ways intending to overcome these deficits, among them, the providers efficiency improvement. This thesis aims to analyze the regulators performance regarding its ability to induce the efficiency of the Brazilian water and sewerage services providers. To this end, an analytical approach based on a sequential explanatory strategy was used, and it consists of three steps. In the first step, the Data Envelopment Analysis ( DEA ) was used to measure the providers efficiency in 2006 and 2011. The results show that the average efficiency may be considered high; however significant inefficiencies among the 29 analyzed providers were detected. The ones in the Southeast region showed better performance level and Northeast had the lowest. The local and the private providers were more efficient on average. In 2006 and 2011 the average performance was higher among non-regulated providers. In 2006 the group regulated by local agencies had the best average performance, in 2011, the best performance was the group regulated by the consortium agencies. To analyse the second step was used the Malmquist Index, it pointed that the productivity between 2006 and 2011 dropped. The analysis through decomposing Malmquist Index showed a shift of technical efficiency frontier to a lower level, however was detected a small provider s advance towards the frontier. Only the Midwest region recorded progress in overall productivity. The deterioration in the total factor productivity was higher among regional providers but the local ones and the private agencies moved quickly to the frontier level. The providers regulated from 2007 showed less decrease on the total productivity and the results of the catch up effect were more meaningful. In the last step, the regulators standardization activity analyses noted that there are agencies that had not issued rules until 2011. The most standards topics discussed in the issued rules were the tariff adjustments and the setting of general conditions for the provision and use of services; in another hand, the least covered topics were new technologies incentive and the introduction of efficiency-inducing regulatory mechanisms and productivity gains for price reviews. Regulators created from 2007 were more active proportionately. Even with the advent of the regulatory framework and the creation of new regulatory bodies, the evidence points to a reality in which the actions of these agencies have not been ensuring that providers of water and sewage, regulated by them, has achieved better performance. The non- achievement of regulatory goals can be explained by the incipient level of performance of the Brazilian regulatory authorities, which should be strengthened because of its potential contribution to the Brazilian basic sanitation department

Princípio da Indução Matemática no Ensino Médio

We developed this dissertation aiming its in the process of teaching and learning of the Principle of Mathematical Induction and we set our efforts so that the students of the first year of the high school can assimilate the content having the knowledge seen in the basic education as foreknowledge. With this, we seek to awake in the student the interest on proofs, showing how much it s needed in examples that involve contents that he is already seen

Modeling and analysis of artificial neural networks applied in operations research

Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements. Systems based on artificial neural networks have high computational rates due to the use of a massive number of these computational elements. Neural networks with feedback connections provide a computing model capable of solving a rich class of optimization problems. In this paper, a modified Hopfield network is developed for solving problems related to operations research. The internal parameters of the network are obtained using the valid-subspace technique. Simulated examples are presented as an illustration of the proposed approach. Copyright (C) 2000 IFAC.

Artificial neural networks applied in study of atmospheric parameters to high voltage substations concerning lightning

This gaper demonstrates that artificial neural networks can be used effectively for estimation of parameters related to study of atmospheric conditions to high voltage substations design. Specifically, the neural networks are used to compute the variation of electrical field intensity and critical disruptive voltage in substations taking into account several atmospheric factors, such as pressure, temperature, humidity, so on. Examples of simulation of tests are presented to validate the proposed approach. The results that were obtained by experimental evidences and numerical simulations allowed the verification of the influence of the atmospheric conditions on design of substations concerning lightning.

Nitrogen content identification in crop plants using spectral reflectance and artificial neural networks

The accurate identification of the nitrogen content in crop plants is extremely important since it involves economic aspects and environmental impacts. Several experimental tests have been carried out to obtain characteristics and parameters associated with the health of plants and its growing. The nitrogen content identification involves a lot of nonlinear parametes and complexes mathematical models. This paper describes a novel approach for identification of nitrogen content thought spectral reflectance of plant leaves using artificial neural networks. The network acts as identifier of relationships among pH of soil, fertilizer treatment, spectral reflectance and nitrogen content in the plants. So, nitrogen content can be estimated and generalized from an input parameter set. This approach can be form the basis for development of an accurate real time nitrogen applicator.

Automatic detection of thermal damage in grinding process by artificial neural network

Esse trabalho tem por objetivo o desenvolvimento de um sistema inteligente para detecção da queima no processo de retificação tangencial plana através da utilização de uma rede neural perceptron multi camadas, treinada para generalizar o processo e, conseqüentemente, obter o limiar de queima. em geral, a ocorrência da queima no processo de retificação pode ser detectada pelos parâmetros DPO e FKS. Porém esses parâmetros não são eficientes nas condições de usinagem usadas nesse trabalho. Os sinais de emissão acústica e potência elétrica do motor de acionamento do rebolo são variáveis de entrada e a variável de saída é a ocorrência da queima. No trabalho experimental, foram empregados um tipo de aço (ABNT 1045 temperado) e um tipo de rebolo denominado TARGA, modelo ART 3TG80.3 NVHB.

Analysis of forecasting capabilities of ground surfaces valuation using artificial neural networks

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

Caracterização do ritmo de atividade/repouso do Mocó (Kerodon Rupestris) em fotoperíodo artificial

Kerodon rupestris (rock cavy, mocó) is an endemic caviidae of Brazilian northeast that inhabits rocky places in the semi arid region. The aim of this study was to characterize the activity/rest rhythm of the rock cavy under 12:12 h LD cycle and continuous light. In the first stage, seven animals were submitted to two light intensities (LD; 250:0 lux and 400:0 lux; 40 days each intensity). In the second stage four males were kept for 40 days in LD (470:<1 lux), for 18 days in LL 470 lux (LL470) and for 23 days in red dim light below 1 lux (LL<1). In the third stage three males were initially kept in LD 12:12 h (450:<1 lux) and after that in LL with gradual increase in light intensity each 21 days (<1 lux LL<1; 10 lux-LL10; 160 lux LL160; 450 lux LL450). In the fourth stage it was analyzed the motor activity of 16 animals in the first 10 days in LD. Motor activity was continuously recorded by passive infrared movement sensors connected to a computer and totaled in 5 min bins. The activity showed circadian and ultradian rhythms and activity peaks at phase transitions. The activity and the rest occurred in the light as well as in the dark phase, with activity mean greater in the light phase for most of the animals. The light intensity influenced the activity/rest rhythm in the first three stages and in the first stage the activity in 400 lux increased in four animals and decreases in two. In the second stage, the tau for 3 animals in LL470 was greater than 24 h; in LL<1 it was greater than 24 h for one and lower for two. In the third stage the tau decreased with the light intensity increase for animal 8. During the first days in the experimental room, the animals did not synchronize to the LD cycle with activity and rest occurring in both phases. The results indicate that the activity/rest rhythm of Kerodon rupestris can be affected by light intensity and that the synchronization to the LD cycle results from entrainment as well as masking probably as a consequence of the action of two or more oscillators with low coupling strength

Influência de fotoperíodo artificial no comportamento de um primata neotropical diurno (Callithrix jacchus)

One of the main environmental cues for the adjustment of temporal organization of the animals is the light-dark cycle (LD), which undergoes changes in phase duration throughout the seasons. Photoperiod signaling by melatonin in mammals allows behavioral changes along the year, as in the activity-rest cycle, in mood states and in cognitive performance. The aim of this study was to investigate if common marmoset (Callithrix jacchus) exhibits behavioral changes under short and long photoperiods in a 24h cycle, assessing their individual behaviors, vocal repertoire, exploratory activity (EA), recognition memory (RM) and the circadian rhythm of locomotor activity (CRA). Eight adult marmosets were exposed to a light-dark cycle of 12:12; LD 08:16; LD 12:12 and LD 16:08, sequentially, for four weeks in each condition. Locomotor activity was recorded 24h/day by passive infrared motion detectors above the individual cages. A video camera system was programmed to record each animal, twice a week, on the first two light hours. From the videos, frequency of behaviors was registered as anxiety-like, grooming, alert, hanging position, staying in nest box and feeding using continuous focal animal sampling method. Simultaneously, the calls emitted in the experimental room were recorded by a single microphone centrally located and categorized as affiliative (whirr, chirp), contact (phee), long distance (loud shrill), agonistic (twitter) and alarm (tsik, seep, see). EA was assessed on the third hour after lights onset on the last week of each condition. In a first session, marmosets were exposed to one unfamiliar object during 15 min and 24h later, on the second session, a novel object was added to evaluate RM. Results showed that long days caused a decreased of amplitude and period variance of the CRA, but not short days. Short days decreased the total daily activity and active phase duration. On long days, active phase duration increased due to an advance of activity onset in relation to symmetric days. However, not all subjects started the activity earlier on long days. The activity offset was similar to symmetric days for the majority of marmosets. Results of EA showed that RM was not affected by short or long days, and that the marmosets exhibited a decreased in duration of EA on long days. Frequency and type of calls and frequency of anxiety-like behaviors, staying in nest box and grooming were lower on the first two light hours on long days. Considering the whole active phase of marmosets as we elucidate the results of vocalizations and behaviors, it is possible that these changes in the first two light hours are due to the shifting of temporal distribution of marmoset activities, since some animals did not advance the activity onset on long days. Consequently, the marmosets mean decreased because the sampling was not possible. In conclusion, marmosets synchronized the CRA to the tested photoperiods and as the phase angle varied a lot among marmosets it is suggested that they can use different strategies. Also, long days had an effect on activity-rest cycle and exploratory behaviors

Analytical and semi-analytical analysis of an artificial satellite's rotational motion

The rotational motion of an artificial satellite is studied by considering torques produced by gravity gradient and direct solar radiation pressure. A satellite of circular cylinder shape is considered here, and Andoyers variables are used to describe the rotational motion. Expressions for direct solar radiation torque are derived. When the earth's shadow is not considered, an analytical solution is obtained using Lagrange's method of variation of parameters. A semi-analytical procedure is proposed to predict the satellite's attitude under the influence of the earth's shadow. The analytical solution shows that angular variables are linear and periodic functions of time while their conjugates suffer only periodic variations. When compared, numerical and analytical solutions have a good agreement during the time range considered.

Attitude stability of artificial satellites subject to gravity gradient torque

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Some orbital characteristics of lunar artificial satellites

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

Artificial satellites orbits in 2:1 resonance: GPS constellation

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