3,936 research outputs found
Generalized -conformal change and special Finsler spaces
In this paper, we investigate the change of Finslr metrics which we refer to as a
generalized -conformal change. Under this change, we study some special
Finsler spaces, namely, quasi C-reducible, semi C-reducible, C-reducible,
-like, -like and -like Finsler spaces. We also obtain the
transformation of the T-tensor under this change and study some interesting
special cases. We then impose a certain condition on the generalized
-conformal change, which we call the b-condition, and investigate the
geometric consequences of such condition. Finally, we give the conditions under
which a generalized -conformal change is projective and generalize some
known results in the literature.Comment: References added, some modifications are performed, LateX file, 24
page
The Casimir force in noncommutative Randall-Sundrum models
In this paper we study the effect of spacetime noncommutativity in the
5-dimensional Randall-Sundrum brane worlds on the Casimir force acting on a
pair of parallel plates. We show that the presence of a noncommutative scale
length affects the nature of the Casimir force for small plate separation.
Using accurate experimental bounds for the Casimir force in parallel plate
geometry, we find an upper bound for the noncommutative cutoff of the order of
TeV, and that the size of the interbrane distance in RSI model is
approximately given by and for
GeV and GeV, respectively.Comment: 20 pages, 5 figures, accepted for publication in Phys. Rev.
THE EFFECTS OF TEMPERATURE DEPENDENT VISCOSITY AND VISCOUS DISSIPATION ON MHD CONVECTION FLOW FROM AN ISOTHERMAL HORIZONTAL CIRCULAR CYLINDER IN THE PRESENCE OF STRESS WORK AND HEAT GENERATION
Temperature dependent viscosity and Viscous Dissipation effects are considered on hydromagnetic natural convection flow from horizontal circular cylinder immersed in an electrically conducting fluid with viscosity proportional to a linear function of temperature in the presence of stress work and heat generation. The partial differential governing equations are transformed to dimensionless forms. The numerical computations are carried out for several values of physical parameters involved in the transformed equations. The resulting nonlinear system of partial differential equations is solved numerically by Keller box method which is an implicit finite difference technique with Newton's linearization method. The features of the flow and heat transfer characteristics for different values of the governing parameters are analyzed and discussed. To support the accuracy of the numerical results, a comparison is made with known results from the open literature for some particular cases of the present study and the results are found to be in good agreement
Some entanglement features of three-atoms Tavis-Cummings model: Cooperative case
In this paper we consider a system of identical three two-level atoms
interacting at resonance with a single-mode of the quantized field in a
lossless cavity. The initial cavity field is prepared in the coherent state
while the atoms are taken initially to be either in the uppermost excited state
"" or The -state or the -state. For this
system we investigate different kinds of atomic inversion and entanglement,
which arise between the different parts of the system due to the interaction.
Also the relationship, between entanglement and some other nonclassical effects
in the statistical properties, such as collapses and revivals in the atomic
inversion where superharmonic effects appear, is discussed. The -functions
for different cases are discussed. Most remarkably it is found that the
-state is more robust against energy losses, showing almost
coherent trapping and Schr\"odinger-cat states can not be produced from such
state. Also the entanglement of -state is more robust than the
-state. Another interesting feature found is that the state which
has no pairwise entanglement initially will have a much improvement of such
pairwise entanglement through the evolution. Sudden death and sudden revival of
atoms-pairwise entanglement are produced with the -state.Comment: 14 pages, 7 figure
Impact of Applying Fraud Detection and Prevention Instruments in Reducing Occupational Fraud: Case study: Ministry of Health (MOH) in Gaza Strip
The study aimed to identify the effect of applying detection and prevention tools for career fraud in combating and
preventing fraud and reducing its risks through an applied study on Palestinian Ministry of Health in Gaza Strip, Palestine. To
achieve the objectives of the study, the researchers used the questionnaire as a main tool to collect data, and the descriptive and
analytical approach to conducting the study. The study population consisted of (501) supervisory employees working at MOH in
Gaza Strip, Palestine. The researchers used the stratified random sample method and the multiple regression method to measure
the effect. The study concluded a set of results, the most important of which is a positive evaluation among respondents about the
levels of application of tools to detect and prevent job fraud within MOH, and the presence of a high interest in tools to prevent job
fraud during the implementation of its various work. The study recommended the necessity for the Palestinian National Authority
to develop and approve laws regulating health sector, so that those laws guarantee the prevention of conflicts of interest,
especially for the category of doctors, by preventing job duplication of doctors working in the government sector. Also study
recommended the need for MOH to adopt principles of health sector governance and begin immediately to implement them. This
process to ensure transparency, disclosure and accountability in the business framework in a manner that realizes the effective
protection of stakeholders and does not compromise or discriminate in the application of these principles, which ensures that all
forms of job fraud are organized in an organized manner and within fixed legal frameworks
THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PRESERVING CULTURAL HERITAGE AND ART WORKS VIA VIRTUAL RESTORATION
Artifacts including paintings, drawings, prints, mosaics, sculptures, historical structures and monuments, as well as archaeological sites present a key part of our cultural heritage. It consists of Intangible culture (such as folklore, traditions, language, and knowledge), tangible culture (such as buildings, monuments, landscapes, archival materials, books, works of art, and artifacts), and natural heritage (such as biodiversity and culturally significant landscapes) .Now we will concentrate on tangible culture and its problems and how to handle them. One of its biggest problems is that over the years the nature of the materials used in the creation of the artwork make them prone to cracks, fractures, stains, and colors fading and blurring. The causes of their damage could be of natural or human- related reasons. The natural causes range from war, fires, earthquakes, natural disasters and the human-related causes range from accidental events like to pollution which results of climate changes, which like acid rain. It is a must to consider the environment in which you store your artwork. Our regular environment's light, heat, moisture, and pollution levels can lead to harmful chemical and physical reactions in artwork. There are several reasons why it is necessary to preserve ancient works of art. The fact that it enables us to comprehend the historical and cultural context of the era in which it was made is one of the key factors. Then preserving our artworks is a must and this can be done by manual techniques or using machine learning algorithms
On dimension reduction in Gaussian filters
A priori dimension reduction is a widely adopted technique for reducing the
computational complexity of stationary inverse problems. In this setting, the
solution of an inverse problem is parameterized by a low-dimensional basis that
is often obtained from the truncated Karhunen-Loeve expansion of the prior
distribution. For high-dimensional inverse problems equipped with smoothing
priors, this technique can lead to drastic reductions in parameter dimension
and significant computational savings.
In this paper, we extend the concept of a priori dimension reduction to
non-stationary inverse problems, in which the goal is to sequentially infer the
state of a dynamical system. Our approach proceeds in an offline-online
fashion. We first identify a low-dimensional subspace in the state space before
solving the inverse problem (the offline phase), using either the method of
"snapshots" or regularized covariance estimation. Then this subspace is used to
reduce the computational complexity of various filtering algorithms - including
the Kalman filter, extended Kalman filter, and ensemble Kalman filter - within
a novel subspace-constrained Bayesian prediction-and-update procedure (the
online phase). We demonstrate the performance of our new dimension reduction
approach on various numerical examples. In some test cases, our approach
reduces the dimensionality of the original problem by orders of magnitude and
yields up to two orders of magnitude in computational savings
"MELUHA" sózott hal kémiai és mikrobiológiai vizsgálata
Die chemische Zusammensetzung und der mikrobiologische Zustand des gesalzten Fisches „Meluha“, ferner die Zusammensetzung der essentiellen und freien Aminosäuren der Fischfleischproteine wurden studiert. Die Ergebnisse bestätigten, dass die Proteine des Fisches ,,Meluha“ vom Gesichtspunkt der Ernährungskunde erstklassig sind. Infolge des während des Salzens eindiffundierenden Natriumchlorids ist jedoch der Aschengehalt verhältnismässig hoch. In dem Hydrolysat der Meluhaproteine sind alle essentiellen Aminosäuren gegenwärtig. Leucin und Isoleucin kommen in der grössten Menge vor, während die Konzentrationen an Threonin une Lysin die niedrigsten sind. Eine ähnliche Tendenz gelangt zur Geltung auch in der Menge der freien Aminosäuren. Threonin und Tryptophan sind jedoch im Extrakt des Fischfleisches nicht nachweisbar. Die Abwesenheit der Schimmelpilze ist kennzeichnend auf die Mikroflora des Meluha Fischfleisches. Die vorherrschenden Mikroorganismen sind die Bacillen, Mikrokokken und Hefen. The chemical composition and microbiological state of the salted fish „Meluha”, furthermore the composition of the essential and free aminoacids of fish proteins were studied. The results proved that the proteins of the fish „Meluha“ are of first-class quality from the aspect of dietetics. Owing to the sodium chloride introduced during the salting process is however the ash content relatively high. All essential aminoacids are present in the hydrolysate of the Meluha protein. Leucine and isoleucine are present in the greatest amount whereas the concentrations of threonine and lysine are the lowest. A similar tendency appears also in the amounts of free aminoacids. However, threonine and tryptophane cannot be detected in the extract of fish. The microflora of the fish Meluha is characterized by the absence of moulds, the prevailing microorganisms being present are bacuili, micrococci and yeasts
Consistency, Amplitudes and Probabilities in Quantum Theory
Quantum theory is formulated as the only consistent way to manipulate
probability amplitudes. The crucial ingredient is a consistency constraint: if
there are two different ways to compute an amplitude the two answers must
agree. This constraint is expressed in the form of functional equations the
solution of which leads to the usual sum and product rules for amplitudes. A
consequence is that the Schrodinger equation must be linear: non-linear
variants of quantum mechanics are inconsistent. The physical interpretation of
the theory is given in terms of a single natural rule. This rule, which does
not itself involve probabilities, is used to obtain a proof of Born's
statistical postulate. Thus, consistency leads to indeterminism.
PACS: 03.65.Bz, 03.65.Ca.Comment: 23 pages, 3 figures (old version did not include the figures
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