4,181 research outputs found
Resonating Valence Bond Theory of Superconductivity for Dopant Carriers: Application to the Cobaltates
Within the -- model Hamiltonian we present a RVB mean field theory
directly in terms of dopant particles. We apply this theory to
and show that the
resulting phase diagram versus doping is in qualitative agreement with
the experimental results
Principal components in the study of soil and plant properties in precision coffee farming
ArticleIn this work, a principal component analysis was performed to evaluate the possibility
of discarding obsolete soil and plant variables in a coffee field to eliminate redundant and
difficult-to-measure information in precision coffee farming. This work was conducted at BrejĂŁo
Farm in Três Pontas, Minas Gerais, Brazil, in a coffee field planted with 22 ha of Topázio cultivar.
The evaluated variables were the yield, plant height, crown diameter, fruit maturation index,
degree of fruit maturation, leafing, soil pH, available phosphorus (P), remaining phosphorus
(Prem), available potassium (K), exchangeable calcium (Ca2+), exchangeable magnesium
(Mg2+), exchangeable acidity (Al3+), potential acidity (H + Al), aluminium saturation (N(Al)),
potential CEC (CECp), actual CEC (CECa), sum of bases (SB), base saturation (BS) and organic
matter (OM). The data were evaluated by a principal component analysis, which generated 20
components. Of these, 7 representing 88.98% of the data variation were chosen. The variables
were discarded based on the preservation of the variables with the greatest coefficients in absolute
values corresponding to the first component, followed by the variable with the second highest
absolute value corresponding to the second principal component. Based on the results, the
variables V, OM, fruit maturity index, plant height, yield, leafing and P were selected. The other
variables were discarded
Spatial variability of litter temperature, relative air humidity and skin temperature of chicks in a commercial broiler house
ArticleThe thermal environment inside a broiler house has a great influence on animal welfare
and productivity during the production phase. Among the importance of the chicken litter is the
function of absorbing moisture, provide thermal insulation and provide a soft surface for broilers.
The skin temperature is an important physiological parameter to quantify the thermal comfort of
animals, its variations may occur as a function of thermal variables. So, the aim of this work was
to analyse the magnitude and spatial variability of chicken litter temperature and relative humidity
of the air and to correlate them with the spatial distribution of chicks’ skin surface temperature
throughout the broiler house during the 7th, 14th and 21st days of the chicks’ life, using
geostatistical techniques. The experiment was performed in a commercial broiler house located
in the western mesoregion of Minas Gerais, Brazil, where 28,000 male Cobb chicks were housed.
The heating system consisted of an industrial indirect-fired biomass furnace. The heated air was
inflated by an AC motor, 2,206 W of power, 1,725 RPM. Geostatistical techniques were used
through semivariogram analysis and isochore maps were generated through data interpolation by
kriging. The semivariogram was fitted by the restricted maximum likelihood method. The used
mathematical model was the spherical one. After fitting the semivariograms, the data were
interpolated by ordinary kriging. The semivariograms along with the isochore maps allowed
identifying the non-uniformity of spatial distribution of the broiler litter temperature throughout
the broiler house for 3 days of chicks’ life. It was observed that skin surface presented a positive
correlation with the litter temperature and a negative correlation with the air humidity. The
semivariograms along with the isochore maps allowed identifying the non-uniformity of spatial
distribution of the litter temperature, air humidity and skin temperature of chicks throughout the
broiler aviary for the three days. In addition, the use of geostatistics and distribution maps made
possible to identify different environmental conditions in regions inside the broiler house that
may harm the development of chicks
Spatial variability of soil fertility attributes and productivity in a coffee crop farm
ArticleCoffee cultivation is of great importance to Brazilian agribusiness, as coffee occupies
extensive production areas and is one of the most exported Brazilian products. To maintain coffee
production numbers, productive techniques must be adopted that optimize productive system use.
The objective of this work was to apply geostatistical techniques in the evaluation of soil fertility
attributes to construct maps of variability in soil fertility parameters and the productivity of a
coffee crop in the municipality of Monte Carmelo, Minas Gerais (MG), Brazil. The work was
developed with coffee of the cultivar Mundo Novo 379/19, and 19 sample points were
georeferenced in Universal Transverse Mercator coordinates. Spatial dependence of the fertility
and productivity parameters was analysed via classic semivariogram fitting and interpolation by
ordinary kriging using the statistical computer system, R. All parameters evaluated showed high
degrees of spatial dependence. The attribute values varied along the sampling points, except for
the sodium (Na) contents, which had similar values in all samplings. The studied parameters
ranged from 80 to 200 metres. It is conclusion, the use of productivity maps linked to soil
chemical attributes can be useful for determining the occurrence of variable productivity rates
throughout the area, allowing the adoption of corrective practices for subsequent crops and thus
making the maps very useful tools for producers
Experimental Observation of Quantum Correlations in Modular Variables
We experimentally detect entanglement in modular position and momentum
variables of photon pairs which have passed through -slit apertures. We
first employ an entanglement criteria recently proposed in [Phys. Rev. Lett.
{\bf 106}, 210501 (2011)], using variances of the modular variables. We then
propose an entanglement witness for modular variables based on the Shannon
entropy, and test it experimentally. Finally, we derive criteria for
Einstein-Podolsky-Rosen-Steering correlations using variances and entropy
functions. In both cases, the entropic criteria are more successful at
identifying quantum correlations in our data.Comment: 7 pages, 4 figures, comments welcom
Geostatistics applied to evaluation of thermal conditions and noise in compost dairy barns with different ventilation systems
ArticleThe objective of this work was to evaluate the spatial distribution of thermal
conditions and bed variables in compost dairy barns with different ventilation systems, through
the technique of geostatistics. The experiment was conducted in April 2017, in farms located in
Madre de Deus, Minas Gerais, Brazil. Three facilities were evaluated with different ventilation
systems: natural (NV); mechanical of low volume and high speed (LVHS); and mechanical of
high volume and low speed (HVLS). The interior of the premises was divided into 40 meshes
equidistant points, in which air temperature, relative humidity and air speed were manually
collected. Geostatistics technique was used to assess the spatial dependence of the variables.
The results showed the occurrence of dependence and spatial variability of the variables
evaluated. Based on thermal comfort indexes, it was concluded that dairy cows were under
stress conditions during the hottest hours of the day in the three animal facilities evaluated. The
results obtained allow us to understand that the thermal environment is more influenced by the
ventilation system adopted
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