4,251 research outputs found
Simulations of Information Transport in Spin Chains
Transport of quantum information in linear spin chains has been the subject
of much theoretical work. Experimental studies by nuclear spin systems in
solid-state by NMR (a natural implementation of such models) is complicated
since the dipolar Hamiltonian is not solely comprised of nearest-neighbor
XY-Heisenberg couplings. We present here a similarity transformation between
the XY-Heisenberg Hamiltonian and the grade raising Hamiltonian, an interaction
which is achievable with the collective control provided by radio-frequency
pulses in NMR. Not only does this second Hamiltonian allows us to simulate the
information transport in a spin chain, but it also provides a means to observe
its signature experimentally
Thermal energy storage systems using fluidized bed heat exchangers
The viability of using fluidized bed heat exchangers (FBHX) for thermal energy storage (TES) in applications with potential for waste heat recovery was investigated. Of the candidate applications screened, cement plant rotary kilns and steel plant electric arc furnaces were identified, via the chosen selection criteria, as having the best potential for successful use of FBHX/TES system. A computer model of the FBHX/TES systems was developed and the technical feasibility of the two selected applications was verified. Economic and tradeoff evaluations in progress for final optimization of the systems and selection of the most promising system for further concept validation are described
Thermodynamics of formation of intermediate phases in the yttrium-iron and yttrium-cobalt systems
Solid electrolyte electromotive force cells have been used to determine the Gibbs free energies, enthalpies, and entropies of formation of binary intermediate phases in the Y-Fe and Y-Co systems. Solid CaF(,2) was used as the electrolyte, and EMF meas- urements were made over the temperature range 850 K to 1271 K with electrochemical cells of the type Y, YF(,3)(VBAR)CaF(,2)(VBAR)YF(,3), M, YM(,c) or Y, YF(,3)(VBAR)CaF(,2)(VBAR)YF(,3), YM(,a), YM(,b) where M = Fe or Co, and M and YM(,c) or YM(,a) and YM(,b) are neighboring phases in the Y-M equilibrium diagram. The data indicate that, at a given stoichiometry, the Gibbs free energy of formation becomes more negative in progression from Y-Fe to Y-Co;The experimental values for the Gibbs free energies of formation of the Y-Fe and Y-Co intermediate phases at 973 K are compared with those of the Th-Fe, Th-Co, Th-Ni, La-Co, and La-Ni systems. Examination of the trend shows that there is an empirical correlation between the Gibbs free energy of formation and the total number of valence electrons in these alloy systems;The experimental enthalpies of formation of the equiatomic alloys in the Y-Fe and Y-Co systems are compared with the theoretical pre- dictions of the Miedema and Watson-Bennett models. Experimental data for the Y-Fe system favors the Watson-Bennett approximation;in the case of the Y-Co system, however, both predictions are acceptable approximations to the experimental value; *DOE Report IS-T-1125. This work was performed under Contract W-7405-eng-82 with the U.S. Department of Energy
Entropic Test of Quantum Contextuality
We study the contextuality of a three-level quantum system using classical
conditional entropy of measurement outcomes. First, we analytically construct
the minimal configuration of measurements required to reveal contextuality.
Next, an entropic contextual inequality is formulated, analogous to the
entropic Bell inequalities derived by Braunstein and Caves in [Phys. Rev. Lett.
{\bf 61}, 662 (1988)], that must be satisfied by all non-contextual theories.
We find optimal measurements for violation of this inequality. The approach is
easily extendable to higher dimensional quantum systems and more measurements.
Our theoretical findings can be verified in the laboratory with current
technology.Comment: 4 pages, 4 figure
Symptoms Based Image Predictive Analysis for Citrus Orchards Using Machine Learning Techniques: A Review
In Agriculture, orchards are the deciding factor in the country’s economy. There are many orchards, and citrus and sugarcane will cover 60 percent of them. These citrus orchards satisfy the necessity of citrus fruits and citrus products, and these citrus fruits contain more vitamin C. The citrus orchards have had some problems generating good yields and quality products. Pathogenic diseases, pests, and water shortages are the three main problems that plants face. Farmers can find these problems early on with the support of machine learning and deep learning, which may also change how they feel about technology. By doing this in agriculture, the farmers can cut off the major issues of yield and quality losses. This review gives enormous methods for identifying and classifying plant pathogens, pests, and water stresses using image-based work. In this review, the researchers present detailed information about citrus pathogens, pests, and water deficits. Methods and techniques that are currently available will be used to validate the problem. These will include pre-processing for intensification, segmentation, feature extraction, and selection processes, machine learning-based classifiers, and deep learning models. In this work, researchers thoroughly examine and outline the various research opportunities in the field. This review provides a comprehensive analysis of citrus plants and orchards; Researchers used a systematic review to ensure comprehensive coverage of this topic
A sequential study of circulating immune complexes, complement mediated IC solubilisation and immunoglobulins in borderline tuberculoid patients with and without reactions
Sequential estimates of the levels of circulating immune complexes (CIC), complement
catabolic fragment C3d, complement-mediated immune complex solubilization (CMS) and
immunoglobulins were made in 24 newly diagnosed patients with borderline tuberculoid
leprosy over a 20 month period after initiation of chemotherapy.
Fourteen of these patients had not suffered from reversal reactions either at the time
of presentation or during the follow-up period. The levels of CIC were elevated in them
from the third to the eleventh month after starting chemotherapy and immunoglobulin G
(IgG) levels were elevated upto eight months. The concentrations of C3d and
immunoglobulins A (IgA) and M (IgM) were normal in these patients.
The other ten patients had reversal reaction at the time of diagnosis which subsided
by the third month after starting treatment. They did not have reversal reactions later. The
levels of CIC and IgG were elevated and those of CMS were depressed throughout the
study period. Serum C3d level was initially elevated but came down to normal by the third
month while IgA and IgM levels were within normal limits.
The relevance of these findings to the genesis of reversal reaction is discussed in this
communication
THE EVOLVING COMPETITIVE DYNAMICS IN THE RETAIL BANKING SECTOR IN INDIA: A CASE STUDY OF KARNATAKA BANK
The banking industry in India is going through a unique competitive situation: on the one hand, the proliferation of new banks has increased competition multi-fold; on the other hand, given the rigid regulatory environment, banks have very little liberty to innovate products. The entry of multinational banking giants with superior service operations has further amplified the competition for customers. This paper examines the business performance of Karnataka bank during the period between 2006 and 2014 in order to bring home some of these challenges. Based on feedback from the branch managers, savings and current accounts - two classic banking products – suffered the most in the onslaught. Practicing managers as well as customers that we interviewed held that banking services in terms of customer experience ought to be improved and that various value added services could be introduced. Customers also expected reduced penalty for minimum balance and enhanced insurance cover for their accounts
On semistable principal bundles over a complex projective manifold, II
Let (X, \omega) be a compact connected Kaehler manifold of complex dimension
d and E_G a holomorphic principal G-bundle on X, where G is a connected
reductive linear algebraic group defined over C. Let Z (G) denote the center of
G. We prove that the following three statements are equivalent: (1) There is a
parabolic subgroup P of G and a holomorphic reduction of the structure group of
E_G to P (say, E_P) such that the bundle obtained by extending the structure
group of E_P to L(P)/Z(G) (where L(P) is the Levi quotient of P) admits a flat
connection; (2) The adjoint vector bundle ad(E_G) is numerically flat; (3) The
principal G-bundle E_G is pseudostable, and the degree of the charateristic
class c_2(ad(E_G) is zero.Comment: 15 page
Observation of a 2D Bose-gas: from thermal to quasi-condensate to superfluid
We present experimental results on a Bose gas in a quasi-2D geometry near the
Berezinskii, Kosterlitz and Thouless (BKT) transition temperature. By measuring
the density profile, \textit{in situ} and after time of flight, and the
coherence length, we identify different states of the gas. In particular, we
observe that the gas develops a bimodal distribution without long range order.
In this state, the gas presents a longer coherence length than the thermal
cloud; it is quasi-condensed but is not superfluid. Experimental evidence
indicates that we observe the superfluid transition (BKT transition).Comment: 5 pages, 6 figure
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