11,774 research outputs found
Green Sea Turtle (Chelonia mydas) hatchlings success: The effects of artificial lights and other human impacts
Sea turtles appeared more than 200 million years ago in the late Triassic period. They grow very slowly, taking an average of 25 years to reach sexual maturity, with a life span averaging 40-50 years. From May to October green sea turtles (Chelonia mydas) emerge during the night and follow light cues toward the sea. Recently, beachfront development has increased hatchling mortality rate. When hatchlings emerge from nest, high densities of artificial lights lead them toward the land where they either desiccate and die, or are preyed upon. Short-wavelength high intensity light and the distance of artificial light are the two most important lighting issues. But natural predators such as mammals, birds and big crabs also prey on the hatchlings. In addition, beach vehicles and human footprints are additional human impacts on hatchlings. Reducing the short-wavelengths lights behind urban nesting beaches, extending the distance of buildings behind beaches, and turning off lights in the early evening during the nesting seasons are all recommendations to potentially reduce hatchling mortality rates. Involving environmentally educated volunteers to transplant the clutches from high predator density to lower predator density areas has also been suggested
A multi-task learning CNN for image steganalysis
Convolutional neural network (CNN) based image steganalysis are increasingly popular because of their superiority in accuracy. The most straightforward way to employ CNN for image steganalysis is to learn a CNN-based classifier to distinguish whether secret messages have been embedded into an image. However, it is difficult to learn such a classifier because of the weak stego signals and the limited useful information. To address this issue, in this paper, a multi-task learning CNN is proposed. In addition to the typical use of CNN, learning a CNN-based classifier for the whole image, our multi-task CNN is learned with an auxiliary task of the pixel binary classification, estimating whether each pixel in an image has been modified due to steganography. To the best of our knowledge, we are the first to employ CNN to perform the pixel-level classification of such type. Experimental results have justified the effectiveness and efficiency of the proposed multi-task learning CNN
in a supersymmetric theory with an explicit R-parity violation
We studied the process in a
violating supersymmetric Model with the effects from both B- and L-violating
interactions. The calculation shows that it is possible to detect a
violating signal at the Next Linear Collider. Information about the B-violating
interaction in this model could be obtained under very clean background, if we
take the present upper bounds for the parameters in the supersymmetric interactions. Even if we can not detect a signal of in the
experiment, we may get more stringent constraints on the heavy-flavor
couplings.Comment: 16 pages, 6 figure
Discovery of gamma-ray emission from a strongly lobe-dominated quasar 3C 275.1
We systematically analyze the 6-year {\it Fermi}/LAT data of the
lobe-dominated quasars (LDQs) in the complete LDQ sample from 3CRR survey and
report the discovery of high-energy -ray emission from 3C 275.1. The
-ray emission of 3C 207 is confirmed and significant variability of the
lightcurve is identified. We do not find statistically significant -ray
emission from other LDQs. 3C 275.1 is the known -ray quasar with the
lowest core dominance parameter (i.e., ). We also show that both the
northern radio hotspot and parsec jet models can reasonably reproduce the
-ray data. The parsec jet model, however, is favored by the potential
-ray variability at the timescale of months. We suggest that some
dimmer -ray LDQs will be detected in the future and LDQs could
contribute non-negligibly to the extragalactic -ray background.Comment: 26 pages, 10 figures, 3 tables; ApJ in pres
Spin Current and Shot Noise in Single-Molecule Quantum Dots with a Phonon Mode
In this paper we investigate the spin-current and its shot-noise spectrum in
a single-molecule quantum dot coupled with a local phonon mode. We pay special
attention on the effect of phonon on the quantum transport property. The
spin-polarization dependent current is generated by a rotating magnetic filed
applied in the quantum dot. Our results show the remarkable influence of phonon
mode on the zero-frequency shot noise. The electron-phonon interaction leads to
sideband peaks which are located exactly on the integer number of the phonon
frequency and moreover the peak-height is sensitive to the electron-phonon
coupling.Comment: 17 pages,5 figure
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