6,350 research outputs found
Salivary Flow Rates in Various Occlusal Support Zones in Elderly Individuals
Introduction: Elderly individuals experience many changes in the oral cavity, one of which is tooth loss. Tooth loss disrupts the relationships between the maxillary and mandibular occlusions, which is detrimental to mastication. Mastication influences salivary secretion due to the salivary-masticatory reflex. Pressure on the teeth during mastication activates mechanoreceptors in the periodontal ligament, which can also stimulate salivary secretion.
Objective: This study aimed to describe the salivary flow rates in various occlusal support zones in the elderly based on the Eichner Index.
Methods: The study was cross-sectional and used a descriptive research method. The sample population comprised 36 elderly subjects residing in the village of Lebak Gede, Indonesia. Occlusal support zones were classified using the Eichner Index and stimulated salivary flow rates were measured using the Saxon test.
Results: The sample population’s mean salivary flow rate was 1.35 ± 0.65 mL/min. The mean salivary flow rates for Eichner classifications A, B1, B2, and B3, were 1.56 ± 0.78 mL/min, 1.52 ± 0.56 mL/min, 1.18 ± 0.45 mL/min, and 0.95 ± 0.86 mL/min, respectively.
Conclusion: The mean stimulated salivary flow rate tended to decrease as occlusal support zones decreased in Eichner classifications A, B1, B2, and B3
Scaling and memory in the return intervals of energy dissipation rate in three-dimensional fully developed turbulence
We study the statistical properties of return intervals between
successive energy dissipation rates above a certain threshold in
three-dimensional fully developed turbulence. We find that the distribution
function scales with the mean return interval as
except for , where the scaling function
has two power-law regimes. The return intervals are short-term and long-term
correlated and possess multifractal nature. The Hurst index of the return
intervals decays exponentially against , predicting that rare extreme
events with are also long-term correlated with the Hurst index
.Comment: 5 pages, 5 figure
Two-moment decision model for location-scale family with background asset
This paper studies the impact of background risk on the indifference curve. We first study the shape of the indifference curves for the investment with background risk for risk averters, risk seekers, and risk-neutral investors. Thereafter, we study the comparative statics of
the change in the shapes of the indifference curves when the means and the standard deviations of the returns of the financial asset and/or the background asset change. In addition, we draw inference on risk vulnerability and investment decisions in financial crises and bull and bear markets
Recurrence interval analysis of high-frequency financial returns and its application to risk estimation
We investigate the probability distributions of the recurrence intervals
between consecutive 1-min returns above a positive threshold or
below a negative threshold of two indices and 20 individual stocks in
China's stock market. The distributions of recurrence intervals for positive
and negative thresholds are symmetric, and display power-law tails tested by
three goodness-of-fit measures including the Kolmogorov-Smirnov (KS) statistic,
the weighted KS statistic and the Cram\'er-von Mises criterion. Both long-term
and shot-term memory effects are observed in the recurrence intervals for
positive and negative thresholds . We further apply the recurrence interval
analysis to the risk estimation for the Chinese stock markets based on the
probability , Value-at-Risk (VaR) analysis and VaR analysis
conditioned on preceding recurrence intervals.Comment: 17 pages, 10 figures, 1 tabl
Linear risk tolerance and mean-variance preferences
We translate the property of linear risk tolerance (hyperbolical Arrow-Pratt index of risk aversion) from the expected-utility framework into a condition on the marginal rate of substitution between return and risk in the mean-variance approach.
"Competing Micro Economic Theories Of Industrial Profits: An Empirical Approach"
Contrary to the impression given by most textbooks, microeconomics is not a homogeneous discipline. At least two major alternative theories exist which account for the long-run behavior of industrial prices and the between economic sectors in ways which are distinct from standard neoclassical explanations. Both Post Keynesian and Classical (Marxian/NeoRicardian) approaches to economics have developed a growing literature on microfoundations in recent years (see, e.g. Eichner, 1985; Dumenil & Levy, 1985).
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network
We propose an heterogeneous multi-task learning framework for human pose
estimation from monocular image with deep convolutional neural network. In
particular, we simultaneously learn a pose-joint regressor and a sliding-window
body-part detector in a deep network architecture. We show that including the
body-part detection task helps to regularize the network, directing it to
converge to a good solution. We report competitive and state-of-art results on
several data sets. We also empirically show that the learned neurons in the
middle layer of our network are tuned to localized body parts
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