346 research outputs found
MECHANISM OF ALUMINUM TOXICITY AVOIDANCE IN TROPICAL RICE (Oryza sativa), MAIZE (Zea mays), AND SOYBEAN (Glycine max)
Planting Al tolerant crops is an economically justifiable approach in crop production on acid soils. Experiments were conducted to study the mechanisms of Al tolerance among species and varieties of tropical rice, maize, and soybean with previously known levels of Al tolerance. These varieties were hydroponically cultured in 0, 5, 10, and 30 mg l-1 Al with complete nutrient solution at pH 4. The results show that root/shoot ratio of dry weight at 10 mg l-1 Al treatment was an important parameter to indicate differential Al tolerance in maize. Oxalic acid exudation from roots cannot always explain the Al tolerance. Total organic acid concentration in roots at 10 mg l-1 Al treatment indicated a difference of Al tolerance in soybean and lowland rice. Aluminum translocation from roots to shoots was lower in tolerant varieties than in sensitive varieties of soybean. Increased Al concentration in shoots with increased Al level in the solution was larger in soybean and maize than in lowland or upland rice. Among varieties of soybean, the Al concentration in shoots increased drastically in Wilis (Al-sensitive variety) with increase Al level, while in Kitamusume (Al-tolerant variety) it did not
Application of block Krylov subspace algorithms to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD
It is well known that the block Krylov subspace solvers work efficiently for
some cases of the solution of differential equations with multiple right-hand
sides. In lattice QCD calculation of physical quantities on a given
configuration demands us to solve the Dirac equation with multiple sources. We
show that a new block Krylov subspace algorithm recently proposed by the
authors reduces the computational cost significantly without loosing numerical
accuracy for the solution of the O(a)-improved Wilson-Dirac equation.Comment: 12 pages, 5 figure
Forecasting Particulate Matter Concentrations: Use of Unorganized Machines
Air pollution is an environmental issue studied worldwide, as it has serious impacts on human health. Therefore, forecasting its concentration is of great importance. Then, this study presents an analysis comprising the appliance of Unorganized Machines – Extreme Learning Machines (ELM) and Echo State Networks (ESN) aiming to predict particulate matter with aerodynamic diameter less than 2.5 m (PM2.5) and less than 10 m (PM10). The databases were from Kallio and Vallilla stations in Helsinki, Finland. The computational results showed that the ELM presented best results to PM2.5, while the ESN achieved the best performance to PM10
Terahertz electric-field driven dynamical multiferroicity in SrTiO
The emergence of collective order in matter is among the most fundamental and
intriguing phenomena in physics. In recent years, the ultrafast dynamical
control and creation of novel ordered states of matter not accessible in
thermodynamic equilibrium is receiving much attention. Among those, the
theoretical concept of dynamical multiferroicity has been introduced to
describe the emergence of magnetization by means of a time-dependent electric
polarization in non-ferromagnetic materials. In simple terms, a large amplitude
coherent rotating motion of the ions in a crystal induces a magnetic moment
along the axis of rotation. However, the experimental verification of this
effect is still lacking. Here, we provide evidence of room temperature
magnetization in the archetypal paraelectric perovskite SrTiO due to this
mechanism. To achieve it, we resonantly drive the infrared-active soft phonon
mode with intense circularly polarized terahertz electric field, and detect a
large magneto-optical Kerr effect. A simple model, which includes two coupled
nonlinear oscillators whose forces and couplings are derived with ab-initio
calculations using self-consistent phonon theory at a finite temperature,
reproduces qualitatively our experimental observations on the temporal and
frequency domains. A quantitatively correct magnitude of the effect is obtained
when one also considers the phonon analogue of the reciprocal of the Einsten -
de Haas effect, also called the Barnett effect, where the total angular
momentum from the phonon order is transferred to the electronic one. Our
findings show a new path for designing ultrafast magnetic switches by means of
coherent control of lattice vibrations with light.Comment: Main text: 10 pages, 4 figures, methods and 8 supplemental figure
Climate of High-obliquity Exoterrestrial Planets with a Three-dimensional Cloud System Resolving Climate Model
Planetary climates are strongly affected by planetary orbital parameters such as obliquity, eccentricity, and precession. In exoplanetary systems, exoterrestrial planets should have various obliquities. High-obliquity planets would have extreme seasonal cycles due to the seasonal change of the distribution of the insolation. Here, we introduce the Non-hydrostatic ICosahedral Atmospheric Model (NICAM), a global cloud-resolving model, to investigate the climate of high-obliquity planets. This model can explicitly simulate a three-dimensional cloud distribution and vertical transports of water vapor. We simulated exoterrestrial climates with high resolution using the supercomputer FUGAKU. We assumed aqua-planet configurations with 1 bar of air as a background atmosphere, with four different obliquities (0°, 23.5°, 45°, and 60°). We ran two sets of simulations: (1) low resolution (∼220 km mesh as the standard resolution of a general circulation model for exoplanetary science) with parameterization for cloud formation, and (2) high resolution (∼14 km mesh) with an explicit cloud microphysics scheme. Results suggest that high-resolution simulations with an explicit treatment of cloud microphysics reveal warmer climates due to less low cloud fraction and a large amount of water vapor in the atmosphere. It implies that treatments of cloud-related processes lead to a difference between different resolutions in climatic regimes in cases with high obliquities
Does a difference in ice sheets between Marine Isotope Stages 3 and 5a affect the duration of stadials? Implications from hosing experiments
Glacial periods undergo frequent climate shifts between warm interstadials and cold stadials on a millennial timescale. Recent studies show that the duration of these climate modes varies with the background climate; a colder background climate and lower CO2 generally result in a shorter interstadial and a longer stadial through its impact on the Atlantic Meridional Overturning Circulation (AMOC). However, the duration of stadials is shorter during Marine Isotope Stage 3 (MIS3) than during MIS5, despite the colder climate in MIS3, suggesting potential control from other climate factors on the duration of stadials. In this study, we investigate the role of glacial ice sheets. For this purpose, freshwater hosing experiments are conducted with an atmosphere–ocean general circulation model under MIS5a and MIS3 boundary conditions, as well as MIS3 boundary conditions with MIS5a ice sheets. The impact of ice sheet differences on the duration of the stadials is evaluated by comparing recovery times of the AMOC after the freshwater forcing is stopped. These experiments show a slightly shorter recovery time of the AMOC during MIS3 compared with MIS5a, which is consistent with ice core data. We find that larger glacial ice sheets in MIS3 shorten the recovery time. Sensitivity experiments show that stronger surface winds over the North Atlantic shorten the recovery time by increasing the surface salinity and decreasing the sea ice amount in the deepwater formation region, which sets favorable conditions for oceanic convection. In contrast, we also find that surface cooling by larger ice sheets tends to increase the recovery time of the AMOC by increasing the sea ice thickness over the deepwater formation region. Thus, this study suggests that the larger ice sheet during MIS3 compared with MIS5a could have contributed to the shortening of stadials in MIS3, despite the climate being colder than that of MIS5a, because surface wind plays a larger role
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