Danos de lagartas de Elasmopalpus lignosellus no feijoeiro.

Elasmopalpus lignosellus (Zeller), conhecida como lagarta elasmo, é considerada uma das principais pragas de diversas culturas, causando danos elevados no feijoeiro em períodos de estiagem. Foi avaliado nesse trabalho o dano da lagarta de diferentes idades no feijoeiro no estágio de folhas primárias: 1) lagartas de um dia; 2) lagartas de três dias; 3) lagartas de cinco dias; 4) lagartas de sete dias; 5) lagartas de nove dias; 6) testemunha (sem inseto).Resumo

Danos de lagartas de Elasmopalpus lignosellus no feijoeiro.

Foi avaliado nesse trabalho o dano da lagarta de diferentes idades no feijoeiro no estágio de folhas primárias: 1) lagartas de um dia; 2) lagartas de três dias; 3) lagartas de cinco dias; 4) lagartas de sete dias; 5) lagartas de nove dias; 6) testemunha (sem inseto). Dez sementes da cv. Pérola foram semeadas em Latossolo vermelho escuro contido em vaso de plástico preto (12,5 cm altura, 16 cm diâmetro) em 24/08/2010

Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oil Engine Fuel Consumption Using Univariate Forecasting and XGBoost Machine Learning Models

Monitoring and controlling thermoelectric power plants (TPPs) operational parameters have become essential to ensure system reliability, especially in emergencies. Due to system complexity, operating parameters control is often performed based on technical know-how and simplified analytical models that can result in limited observations. An alternative to this task is using time series forecasting methods that seek to generalize system characteristics based on past information. However, the analysis of these techniques on large diesel/HFO engines used in Brazilian power plants under the dispatch regime has not yet been well-explored. Therefore, given the complex characteristics of engine fuel consumption during power generation, this work aimed to investigate patterns generalization abilities when linear and nonlinear univariate forecasting models are used on a representative database related to an engine-driven generator used in a TPP located in Pernambuco, Brazil. Fuel consumption predictions based on artificial neural networks were directly compared to XGBoost regressor adaptation to perform this task as an alternative with lower computational cost. AR and ARIMA linear models were applied as a benchmark, and the PSO optimizer was used as an alternative during model adjustment. In summary, it was possible to observe that AR and ARIMA-PSO had similar performances in operations and lower error distributions during full-load power output with normal error frequency distribution of −0.03 ± 3.55 and 0.03 ± 3.78 kg/h, respectively. Despite their similarities, ARIMA-PSO achieved better adherence in capturing load adjustment periods. On the other hand, the nonlinear approaches NAR and XGBoost showed significantly better performance, achieving mean absolute error reductions of 42.37% and 30.30%, respectively, when compared with the best linear model. XGBoost modeling was 8.7 times computationally faster than NAR during training. The nonlinear models were better at capturing disturbances related to fuel consumption ramp, shut-down, and sudden fluctuations steps, despite being inferior in forecasting at full-load, especially XGBoost due to its high sensitivity with slight fuel consumption variations

Desempenho de jundiás alimentados com fontes proteicas submetidas ou não a tratamento para remoção de antinutrientes.

O objetivo deste trabalho foi avaliar o desempenho de jundiás alimentados com diferentes fontes proteicas de origem vegetal, submetidas ou não a tratamento químico (lavagem com solução ácida, seguida de lavagem com etanol) para a remoção de fatores antinutricionais.Organizado por: Sílvio Ricardo Maurano; AQUACIÊNCIA 2012

Possible chiral phase transition in two-dimensional solid 3^3He

We study a spin system with two- and four-spin exchange interactions on the triangular lattice, which is a possible model for the nuclear magnetism of solid $^3$He layers. It is found that a novel spin structure with scalar chiral order appears if the four-spin interaction is dominant. Ground-state properties are studied using the spin-wave approximation. A phase transition concerning the scalar chirality occurs at a finite temperature, even though the dimensionality of the system is two and the interaction has isotropic spin symmetry. Critical properties of this transition are studied with Monte Carlo simulations in the classical limit.Comment: 4 pages, Revtex, 4 figures, to appear in Phys.Rev.Let

First stars XVI. STIS/HST abundances of heavy-elements in the uranium-rich star CS 31082-001

Detailed abundances of the elements produced by r-process nucleosynthesis in various circumstances are our best observational clues to their origin, since the site(s) of r-element production is(are) still not known with certainty. A small fraction of extremely metal-poor (EMP) stars exhibit excesses of heavy neutron-capture elements produced in the r-process, and CS 31082-001 is among the 4 well-known r-process-enhanced EMP stars. Observations with HST/STIS provide abundances for elements observable only from the UV region. Here we aim to supplement the optical data with abundances from near-UV spectroscopy of the first and second peak of the r-elements, which are crucial to giving insight into the nucleosynthesis of the elements beyond iron. The UVES spectrum provided additional measurements, thereby improving the previous results. The spectra were analyzed with the OSMARCS LTE model atmosphere and with a consistent approach based on the spectrum synthesis code Turbospectrum to derive abundances of heavy elements in CS 31082-001, using updated oscillator strengths from the recent literature. We computed synthetic spectra for all lines of the elements of interest, checking for proper intensities and possible blends. We combined the abundances of heavy elements derived in previous works with the derivation of abundances from all reliable new list of lines, for the first and second peaks of r-elements. We were able to derive new abundances for 23 n-elements, 6 of them - Ge, Mo, Lu, Ta, W, and Re - were not available in previous works, making this star the most complete r-II object studied, with a total of 37 detections of n-capture elements. We also present the first NLTE+3D lead abundance in this star. The results provide improved constraints on the nature of the r-process.Comment: 20 pages, 21 figures, 3 tables. Accepted for publication in Astronomy and Astrophysic

Bioquímica plasmática de jundiás alimentados com dietas contendo farelos vegetais submetidos a tratamento para remoção de fatores antinutricionais.

O objetivo deste trabalho foi avaliar a bioquímica plasmática de jundiás alimentados com dietas contendo farelos vegetais submetidos ou não a tratamento para remoção de fatores antinutricionais.Organizado por: Sílvio Ricardo Maurano; AQUACIÊNCIA 2012