4,402 research outputs found
On the mass of supernova progenitors: the role of the CC reaction
A precise knowledge of the masses of supernova progenitors is essential to
answer various questions of modern astrophysics, such as those related to the
dynamical and chemical evolution of Galaxies. In this paper we revise the upper
bound for the mass of the progenitors of CO white dwarfs (\mup) and the lower
bound for the mass of the progenitors of normal type II supernovae (\mups). In
particular, we present new stellar models with mass between 7 and 10 \msun,
discussing their final destiny and the impact of recent improvements in our
understanding of the low energy rate of the \c12c12 reaction.Comment: To be published on the proceedings of NIC 201
Measuring Expressive Music Performances: a Performance Science Model using Symbolic Approximation
Music Performance Science (MPS), sometimes termed systematic musicology in Northern Europe, is concerned with designing, testing and applying quantitative measurements to music performances. It has applications in art musics, jazz and other genres. It is least concerned with aesthetic judgements or with ontological considerations of artworks that stand alone from their instantiations in performances. Musicians deliver expressive performances by manipulating multiple, simultaneous variables including, but not limited to: tempo, acceleration and deceleration, dynamics, rates of change of dynamic levels, intonation and articulation. There are significant complexities when handling multivariate music datasets of significant scale. A critical issue in analyzing any types of large datasets is the likelihood of detecting meaningless relationships the more dimensions are included. One possible choice is to create algorithms that address both volume and complexity. Another, and the approach chosen here, is to apply techniques that reduce both the dimensionality and numerosity of the music datasets while assuring the statistical significance of results. This dissertation describes a flexible computational model, based on symbolic approximation of timeseries, that can extract time-related characteristics of music performances to generate performance fingerprints (dissimilarities from an ‘average performance’) to be used for comparative purposes. The model is applied to recordings of Arnold Schoenberg’s Phantasy for Violin with Piano Accompaniment, Opus 47 (1949), having initially been validated on Chopin Mazurkas.1 The results are subsequently used to test hypotheses about evolution in performance styles of the Phantasy since its composition. It is hoped that further research will examine other works and types of music in order to improve this model and make it useful to other music researchers. In addition to its benefits for performance analysis, it is suggested that the model has clear applications at least in music fraud detection, Music Information Retrieval (MIR) and in pedagogical applications for music education
Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion
Atmospheric trace-gas inversion refers to any technique used to predict
spatial and temporal fluxes using mole-fraction measurements and atmospheric
simulations obtained from computer models. Studies to date are most often of a
data-assimilation flavour, which implicitly consider univariate statistical
models with the flux as the variate of interest. This univariate approach
typically assumes that the flux field is either a spatially correlated Gaussian
process or a spatially uncorrelated non-Gaussian process with prior expectation
fixed using flux inventories (e.g., NAEI or EDGAR in Europe). Here, we extend
this approach in three ways. First, we develop a bivariate model for the
mole-fraction field and the flux field. The bivariate approach allows optimal
prediction of both the flux field and the mole-fraction field, and it leads to
significant computational savings over the univariate approach. Second, we
employ a lognormal spatial process for the flux field that captures both the
lognormal characteristics of the flux field (when appropriate) and its spatial
dependence. Third, we propose a new, geostatistical approach to incorporate the
flux inventories in our updates, such that the posterior spatial distribution
of the flux field is predominantly data-driven. The approach is illustrated on
a case study of methane (CH) emissions in the United Kingdom and Ireland.Comment: 39 pages, 8 figure
Cigarette smoking in men may be a risk factor for increased severity of psoriasis of the extremities
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/74594/1/j.1365-2133.1996.tb03909.x.pd
Ethical standards of the accounting profession
To call this book a revision of John L. Carey\u27s Professional Ethics of Certified Public Accountants, published in 1956, is an understatement requiring some explanation. It is true that the current version, like its predecessor, has three main parts and eleven chapters. A glance at the table of contents will reveal that many of the same subjects are again being dealt with, and in substantially the same order. In short, the plan of the older book has been retaineda plan which emphasizes general ethical principles as guides to practitioners in determining the proper course to follow in specific circumstances. But the details of the earlier book have been altered drastically. This has been necessitated in part by the many changes that have been effected in the profession\u27s rules in the past decade. The Institute\u27s Code now has twenty-one rules compared to the sixteen it had in 1956. In addition, many of the older rules have been revised to meet the changing conditions of professional practice. In general, the state CPA societies and the state boards of accountancy have made corresponding changes in their codes, with the result that the various ethical rules under which CPAs practice are more nearly uniform now than ever before.https://egrove.olemiss.edu/aicpa_prof/1356/thumbnail.jp
Study of the Distillability of Werner States Using Entanglement Witnesses and Robust Semidefinite Programs
We use Robust Semidefinite Programs and Entanglement Witnesses to study the
distillability of Werner states. We perform exact numerical calculations which
show 2-undistillability in a region of the state space which was previously
conjectured to be undistillable. We also introduce bases which yield
interesting expressions for the {\em distillability witnesses} and for a tensor
product of Werner states with arbitrary number of copies.Comment: 16 pages, 2 figure
Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns
First-person stories can be analyzed by means of egocentric pictures acquired
throughout the whole active day with wearable cameras. This manuscript presents
an egocentric dataset with more than 45,000 pictures from four people in
different environments such as working or studying. All the images were
manually labeled to identify three patterns of interest regarding people's
lifestyle: socializing, eating and sedentary. Additionally, two different
approaches are proposed to classify egocentric images into one of the 12 target
categories defined to characterize these three patterns. The approaches are
based on machine learning and deep learning techniques, including traditional
classifiers and state-of-art convolutional neural networks. The experimental
results obtained when applying these methods to the egocentric dataset
demonstrated their adequacy for the problem at hand.Comment: Accepted at First International Workshop on Social Signal Processing
and Beyond, 19th International Conference on Image Analysis and Processing
(ICIAP), September 201
SOCIO-ECONOMIC IMPACT OF INDUSTRIAL EFFLUENT DISCHARGE ON IBESE RIVER AND INHABITANTS OF VILLAGES ALONG ITS COURSE IN NIGERIA
Quest for industrial hazard impact both on the inhabitants and environment, necessitated the study of Socio-economic Impact (SEI) of Industrial Effluent Discharged (IED) on Ibese river and inhabitants of villages along its course in Nigeria. The SIE of IED was conducted after water quality result of the Ibese River has been ascertained. Based on the water quality result, the river course was demarcated into direct industrial effluent discharged Ibese river site, upper Ibese River site and control (free of effluent discharge) river site outside the Ibese River location. The river that is Free of Industrial Efflu- ent Discharge (FIED) site served as control. Simple random sampling technique was used to sample 10% of farmers from farmers’ organization list in IED and FIED to give a total of 180 farmers selected for the research. Data were collected through the use of interview schedule and were analyzed using descriptive and inferential statistics. Result revealed that high number (92.3mg/L) of phosphate an acid element and low (3.30) dissolve oxygen were discovered in IED site. Concerning heavy metals, higher mean level Fe 12.63, Pb 2.01 Cu 4.86 and Zn 7.88mg/L were found in IED water quality analysis. Majority (80.0%) of the farmers in FIED areas cultivated between 5.1 and 20 hectares of farms while 50.0% belong to this categories in IED. In FIED, higher proportion (86.0%, 64.0%, and 62.0%) generate income from crop planting, sheep and goat keeping and cassava processing re- spectively whereas fewer (24.4%, 16.7% and 6.6%) generate income from these sources in IED site. Impairment of used water was rated by 93.3% of the farmers as the most prominent harmful effect of IED. Income discrepancy between industrial effluent discharge site and non industrial effluent dis- charge site was statistically different at P<0.005. The finding revealed that SIE of IED is severe in IED site
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