Determinação do número de amostras de solo para análise química em diferentes condições de manejo.

Com o objetivo de estabelecer o melhor procedimento na coleta de amostras de solos para analise quimica, utilizaram-se, em uma area de 6 ha de um Latossolo Vermelho-Escuro distrofico (LEd) fase cerrado, textura argilosa, em Sete Lagoas, MG, diferentes criterios de amostragens: (A) trinta amostras simples; (B) dez amostras compostas, formadas de cinco simples; (C) cinco amostras compostas formadas de dez simples e (D) cinco amostras compostas formadas de vinte simples, em tres etapas de manejo: (1) area recem-desmatada; (2) arada e gradeada e (3) cultivada com milho apos correcao do solo. Os resultados evidenciaram que (a) a variancia diminuiu das amostras simples para as compostas; (b) as menores variacoes foram observadas para pH, Al e M.O. e as maiores para P, Ca. Mg e K; (c) para uma variacao de 20% em torno da media a 80% de probabilidade e com base na variabilidades dos teores de P, Ca e Mg, recomenda-se para os 6 ha a retirada de 9, 7 e 15 amostras, formadas, cada uma, de 10 amostras simples, respectivamente para as etapas 1, 2 e 3. Com 95% de probabilidade, recomenda-se a retirada de 17 e 42 amostras formadas cada uma de 5 simples para as etapas 1 e 3 respectivamente. Na etapa 2, retirar 13 amostras compostas formadas cada uma de 20 amostras simples

Activity Recognition based on a Magnitude-Orientation Stream Network

The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information. In view of that, this work proposes a novel temporal stream for two-stream convolutional networks based on images computed from the optical flow magnitude and orientation, named Magnitude-Orientation Stream (MOS), to learn the motion in a better and richer manner. Our method applies simple nonlinear transformations on the vertical and horizontal components of the optical flow to generate input images for the temporal stream. Experimental results, carried on two well-known datasets (HMDB51 and UCF101), demonstrate that using our proposed temporal stream as input to existing neural network architectures can improve their performance for activity recognition. Results demonstrate that our temporal stream provides complementary information able to improve the classical two-stream methods, indicating the suitability of our approach to be used as a temporal video representation.Comment: 8 pages, SIBGRAPI 201

Resposta do arroz irrigado a doses de nitrogênio e potássio.

bitstream/item/66203/1/31474.pdfFERTBIO

Experimental analysis of lateral impact on planar brittle material: spatial properties of the cracks

The breakup of glass and alumina plates due to planar impacts on one of their lateral sides is studied. Particular attention is given to investigating the spatial location of the cracks within the plates. Analysis based on a phenomenological model suggests that bifurcations along the cracks' paths are more likely to take place closer to the impact region than far away from it, i. e., the bifurcation probability seems to lower as the perpendicular distance from the impacted lateral in- creases. It is also found that many observables are not sensitive to the plate material used in this work, as long as the fragment multiplicities corresponding to the fragmentation of the plates are similar. This gives support to the universal properties of the fragmentation process reported in for- mer experiments. However, even under the just mentioned circumstances, some spatial observables are capable of distinguishing the material of which the plates are made and, therefore, it suggests that this universality should be carefully investigated

Revisiting "New Cambridge": The three financial balances in a general stock-flow consistent applied modeling strategy

This paper argues that modified versions of the so-called 'New Cambridge' approach to macroeconomic modeling are both quite useful for modeling real capitalist economies in historical time and perfectly compatible with the 'vision' underlying modern Post-Keynesian stock-flow consistent macroeconomic models. As such, New Cambridge-type models appear to us as an important contribution to the tool kit available to applied macroeconomists in general and to heterodox applied macroeconomists in particular