2,827 research outputs found
System for detecting substructure microfractures and method therefore
Bursts of signals at different frequencies are induced into substructure, adjacent to a borehole. The return signals from each burst of signals are normalized to compensate for the attenuation, experienced by more distant return signals. The peak amplitudes of return signals, above a selected level, are cut off, and an average signal is produced from the normalized amplitude-limited return signals of each burst. The averaged signals of the return signals of all the signal bursts at the different frequencies are processed to provide a combined signal, whose amplitude is related to the microfracture density of the substructure adjacent to the borehole
HP-sequence design for lattice proteins - an exact enumeration study on diamond as well as square lattice
We present an exact enumeration algorithm for identifying the {\it native}
configuration - a maximally compact self avoiding walk configuration that is
also the minimum energy configuration for a given set of contact-energy
schemes; the process is implicitly sequence-dependent. In particular, we show
that the 25-step native configuration on a diamond lattice consists of two
sheet-like structures and is the same for all the contact-energy schemes,
; on a square lattice also, the
24-step native configuration is independent of the energy schemes considered.
However, the designing sequence for the diamond lattice walk depends on the
energy schemes used whereas that for the square lattice walk does not. We have
calculated the temperature-dependent specific heat for these designed sequences
and the four energy schemes using the exact density of states. These data show
that the energy scheme is preferable to the other three for both
diamond and square lattice because the associated sequences give rise to a
sharp low-temperature peak. We have also presented data for shorter (23-, 21-
and 17-step) walks on a diamond lattice to show that this algorithm helps
identify a unique minimum energy configuration by suitably taking care of the
ground-state degeneracy. Interestingly, all these shorter target configurations
also show sheet-like secondary structures.Comment: 19 pages, 7 figures (eps), 11 tables (latex files
System for plotting subsoil structure and method therefor
Data for use in producing a tomograph of subsoil structure between boreholes is derived by pacing spaced geophones in one borehole, on the Earth surface if desired, and by producing a sequence of shots at spaced apart locations in the other borehole. The signals, detected by each of the geophones from the various shots, are processed either on a time of arrival basis, or on the basis of signal amplitude, to provide information of the characteristics of a large number of incremental areas between the boreholes. Such information is useable to produce a tomograph of the subsoil structure between the boreholes. By processing signals of relatively high frequencies, e.g., up to 100 Hz, and by closely spacing the geophones, a high resolution tomograph can be produced
Flotation
Flotation is a method of separating one mineral species from others present in a mixture based on its hydrophobic nature-either natural or induced on the surface-when pre-sent as a suspension in water along with gas bubbles. Because of the surface hydrophobicity the mineral part-icles gets attached to gas bubbles and get seperated due to buoyant forces. Mineral separation by flotation became a reality at the beginning of the century when the first plant to produce 80000 Lpy zinc concentrate came into existence in Australia. Since then, the technique has gain-ed industrial importance at a rapid stride and today no less than 33 minerals, involving two billion tonnes or ore, are recovered all over the world and the information available in literature holds promise to many more. The reasons for such a widely acclaimed success are the flexi-bility of the process to suit a given system and its appli-cability to finer sizes. In fact, theoritically, any two given mineral system can be seperated by flotation by suitably manipulating conditions
Building Morphological Chains for Agglutinative Languages
In this paper, we build morphological chains for agglutinative languages by
using a log-linear model for the morphological segmentation task. The model is
based on the unsupervised morphological segmentation system called
MorphoChains. We extend MorphoChains log linear model by expanding the
candidate space recursively to cover more split points for agglutinative
languages such as Turkish, whereas in the original model candidates are
generated by considering only binary segmentation of each word. The results
show that we improve the state-of-art Turkish scores by 12% having a F-measure
of 72% and we improve the English scores by 3% having a F-measure of 74%.
Eventually, the system outperforms both MorphoChains and other well-known
unsupervised morphological segmentation systems. The results indicate that
candidate generation plays an important role in such an unsupervised log-linear
model that is learned using contrastive estimation with negative samples.Comment: 10 pages, accepted and presented at the CICLing 2017 (18th
International Conference on Intelligent Text Processing and Computational
Linguistics
Earnings Quality and Stock Returns
An exclusive focus on bottom-line income misses important information about the quality of earnings. Accruals (the difference between accounting earnings and cash flow) are reliably, negatively associated with future stock returns. Earnings increases that are accompanied by high accruals, suggesting low-quality earnings, are associated with poor future returns. We explore various hypotheses -- earnings manipulation, extrapolative biases about future growth, and under-reaction to business conditions -- to explain accruals' predictive power. Distinctions between the hypotheses are based on evidence from operating performance, the behavior of individual accrual items, and discretionary versus nondiscretionary components of accruals.
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