997 research outputs found
Dynamical Aspects of Generalized Palatini Theories of Gravity
We study the field equations of modified theories of gravity in which the
lagrangian is a general function of the Ricci scalar and Ricci-squared terms in
Palatini formalism. We show that the independent connection can be expressed as
the Levi-Civita connection of an auxiliary metric which, in particular cases of
interest, is related with the physical metric by means of a disformal
transformation. This relation between physical and auxiliary metric boils down
to a conformal transformation in the case of f(R) theories. We also show with
explicit models that the inclusion of Ricci squared terms in the action can
impose upper bounds on the accessible values of pressure and density, which
might have important consequences for the early time cosmology and black hole
formation scenarios. Our results indicate that the phenomenology of
f(R_{ab}R^{ab}) theories is much richer than that of f(R) and f(R_{ab}R^{ab})
theories and that they also share some similarities with Bekenstein's
relativistic theory of MOND.Comment: 8 pages, no figure
Importance of conduction electron correlation in a Kondo lattice, Ce2CoSi3
Kondo systems are usually described by the interaction of strong correlation
induced local moment with the highly itinerant conduction electrons. Here, we
study the role of electron correlations among conduction electrons in the
electronic structure of a Kondo lattice compound, CeCoSi, using high
resolution photoemission spectroscopy and {\it ab initio} band structure
calculations, where Co 3 electrons contribute in the conduction band. High
energy resolution employed in the measurements helped to reveal signature of Ce
4 states derived Kondo resonance feature at the Fermi level and dominance of
Co 3 contributions at higher binding energies in the conduction band. The
line shape of the experimental Co 3 band is found to be significantly
different from that obtained from the band structure calculations within the
local density approximations, LDA. Consideration of electron-electron Coulomb
repulsion, among Co 3 electrons within the LDA+ method leads to a
better representation of experimental results. Signature of electron
correlation induced satellite feature is also observed in the Co 2 core
level spectrum. These results clearly demonstrate the importance of the
electron correlation among conduction electrons in deriving the microscopic
description of such Kondo systems.Comment: 6 figure
Report on morphological abnormality in Scylla serrata
Morphological abnormalities most commonly
reported in crabs are alterations in carapace (mainly
number and shape of antero-lateral teeth),
chelipeds, walking legs and shape of the abdomen.
Uran, a fishing village in Raigad district of
Maharashtra, supports a good fishery of Scylla
serrata commonly known as giant mud crab, found
in the coastal estuarine and mangrove areas
Evolution of the Kondo resonance feature and its relationship to spin-orbit coupling across the quantum critical point in Ce2Rh{1-x}CoxSi3
We investigate the evolution of the electronic structure of Ce2Rh{1-x}CoxSi3
as a function of x employing high resolution photoemission spectroscopy. Co
substitution at the Rh sites in antiferromagnetic Ce2RhSi3 leads to a
transition from an antiferromagnetic system to a Kondo system, Ce2CoSi3 via the
Quantum Critical Point (QCP). High resolution photoemission spectra reveal
distinct signature of the Kondo resonance feature (KRF) and its spin orbit
split component (SOC) in the whole composition range indicating finite Kondo
temperature scale at the quantum critical point. We observe that the intensity
ratio of the Kondo resonance feature and its spin orbit split component,
KRF/SOC gradually increases with the decrease in temperature in the strong
hybridization limit. The scenario gets reversed if the Kondo temperature
becomes lower than the magnetic ordering temperature. While finite Kondo
temperature within the magnetically ordered phase indicates applicability of
the spin density wave picture at the approach to QCP, the dominant temperature
dependence of the spin-orbit coupled feature suggests importance of spin-orbit
interactions in this regime.Comment: 6 figure
Car Detecting Method using high Resolution images
A car detection method is implemented using high resolution images, because these images gives high level of object details in the image as compare with satellite images. There are two feature extraction algorithms are used for implementation such as SIFT (Scale Invariant Feature Transform) and HOG (Histogram of Oriented Gradient). SIFT keypoints of objects are first extracted from a set of reference images and stored in a database. HOG descriptors are feature descriptors used in image processing for the purpose of object detection. The HOG technique counts occurrences of gradient orientation in localized portions of an image. The HOG algorithm used for extracting HOG features. These HOG features will be used for classification and object recognition. The classification process is performed using SVM (Support Vector Machine) classifier. The SVM builds a model with a training set that is presented to it and assigns test samples based on the model. Finally get the SIFT results and HOG results, then compare both results to check better accuracy performance. The proposed method detects the number of cars more accuratel
An Improved AMR AMI Approach for Metering & Energy Monitoring
The growing demand of e nergy in day to life has also increase the demand of momonitoring and managing it. So connectivity solution for smart metering address the challenge of liable, secure and robust communications for remote metering and home en ergy management , Enabling remote metering with Web connectivity is needed . In this pap er an AMR solution with standalone transceivers to complete systems - on - chip with 32 - bit ARM® core and embedded memory, supporting both sub - GHz frequencies (including 868/915MHz) and 2.4 GHz license - free frequency bands is discussed with other available solution
Alternaria-Induced Release of IL-18 from Damaged Airway Epithelial Cells: n NF-kB Dependent Mechanism of Th2 Differentiation?
Performance Analysis of ESPRIT Algorithm for Smart Antenna System
ESPRIT is a high-resolution signal parameter estimation technique based on the translational invariance structure of a sensor array. The ESPRIT algorithm is an attractive solution to many parameter estimation problems due to its low computational cost. The performance of DOA using estimation signal parameter via a rotational invariant technique is investigated in this paper. By exploiting invariance’s designed into the sensor array, parameter estimates are obtained directly, without knowledge of the array response and without computation or search of some spectral measure. The exact number of samples and elements used is the most important parameter in the algorithms in order to sustain the accuracy of the direction of arrival of the incident signals. This algorithm is more robust with respect to array imperfections than MUSI
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