5,479 research outputs found
Granular discharge rate for submerged hoppers
The discharge of spherical grains from a hole in the bottom of a right
circular cylinder is measured with the entire system underwater. We find that
the discharge rate depends on filling height, in contrast to the well-known
case of dry non-cohesive grains. It is further surprising that the rate
increases up to about twenty five percent, as the hopper empties and the
granular pressure head decreases. For deep filling, where the discharge rate is
constant, we measure the behavior as a function of both grain and hole
diameters. The discharge rate scale is set by the product of hole area and the
terminal falling speed of isolated grains. But there is a small-hole cutoff of
about two and half grain diameters, which is larger than the analogous cutoff
in the Beverloo equation for dry grains
The Lure Crop Alternative
Lure crops are proposed as an alternative to scaring waterfowl. The lure crop works on the principle of permitting waterfowl to feed undisturbed for the duration of the damage season in an unharvested field of their choice thereby utilizing trampled grain. Waterfowl from adjacent areas are encouraged to use the lure crop through the use of scaring devices placed in protected fields. General criteria for implementation of a lure crop project and specific criteria for lure crop purchases are presented. Factors contributing to a successful lure crop and problems which reduced lure crop effectiveness are identified. Benefit/ cost analysis of lure crops was completed
Coherent control for the spherical symmetric box potential in short and intensive XUV laser fields
Coherent control calculations are presented for a spherically symmetric box
potential for non-resonant two photon transition probabilities. With the help
of a genetic algorithm (GA) the population of the excited states are maximized
and minimized. The external driving field is a superposition of three intensive
extreme ultraviolet (XUV) linearly polarized laser pulses with different
frequencies in the femtosecond duration range. We solved the quantum mechanical
problem within the dipole approximation. Our investigation clearly shows that
the dynamics of the electron current has a strong correlation with the
optimized and neutralizing pulse shape.Comment: 11 Pages 3 Figure
Ideal Bose gas in fractal dimensions and superfluid He in porous media
Physical properties of ideal Bose gas with the fractal dimensionality between
D=2 and D=3 are theoretically investigated. Calculation shows that the
characteristic features of the specific heat and the superfluid density of
ideal Bose gas in fractal dimensions are strikingly similar to those of
superfluid Helium-4 in porous media. This result indicates that the geometrical
factor is dominant over mutual interactions in determining physical properties
of Helium-4 in porous media.Comment: 13 pages, 6 figure
Comparison of visual working memory maintenance and associative memory retrieval in ageing and synaesthesia.
Aging and synaesthesia provide a window into the functions of sensory and higher cortical areas in working memory.
Parea: multi-view ensemble clustering for cancer subtype discovery
Multi-view clustering methods are essential for the stratification of
patients into sub-groups of similar molecular characteristics. In recent years,
a wide range of methods has been developed for this purpose. However, due to
the high diversity of cancer-related data, a single method may not perform
sufficiently well in all cases. We present Parea, a multi-view hierarchical
ensemble clustering approach for disease subtype discovery. We demonstrate its
performance on several machine learning benchmark datasets. We apply and
validate our methodology on real-world multi-view cancer patient data. Parea
outperforms the current state-of-the-art on six out of seven analysed cancer
types. We have integrated the Parea method into our developed Python package
Pyrea (https://github.com/mdbloice/Pyrea), which enables the effortless and
flexible design of ensemble workflows while incorporating a wide range of
fusion and clustering algorithms
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