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Search Results: 1 - 10 of 193 matches for " Zeev Volkovich "
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Model of Overlapping Messages with Degenerate Coding  [PDF]
Valery Kirzhner, Zeev Volkovich
Applied Mathematics (AM) , 2012, DOI: 10.4236/am.2012.32030
Abstract: Superposition of signals in DNA molecule is a sufficiently general principle of information coding. The necessary re-quirement for such superposition is the degeneracy of the code, which allows placing different messages on the same DNA fragment. Code words that are equivalent in the informational sense (i.e., synonyms) form synonymous group and the entire set of code words is partitioned into synonymous groups. This paper is dedicated to constructing and analyzing the model of synonymous coding. We evaluate some characteristics of synonymous coding as applied to code words of length two although many definitions may be extended for words of arbitrary length.
Evaluation of the Number of Different Genomes on Medium and Identification of Known Genomes Using Composition Spectra Approach
Valery Kirzhner,Zeev Volkovich
Quantitative Biology , 2015,
Abstract: The article presents the theoretical foundations of the algorithm for calculating the number of different genomes in the medium under study and of two algorithms for determining the presence of a particular (known) genome in this medium. The approach is based on the analysis of the compositional spectra of subsequently sequenced samples of the medium. The theoretical estimations required for the implementation of the algorithms are obtained.
Evaluation of the Genome Mixture Contents by Means of the Compositional Spectra Method
Valery Kirzhner,Zeev Volkovich
Quantitative Biology , 2012,
Abstract: In this research, we consider a mixture of genome fragments of a certain bacteria set. The problem of mixture separation is studied under the assumption that all the genomes present in the mixture are completely sequenced or are close to those already sequenced. Such assumption is relevant, e.g., in regular observations of ecological or biomedical objects, where the possible set of microorganisms is known and it is only necessary to follow their concentrations.
Hierarchy of Protein Loop-Lock Structures: A New Server for the Decomposition of a Protein Structure into a Set of Closed Loops  [PDF]
Simon Kogan, Zakharia Frenkel, Oleg Kupervasser, Zeev Volkovich
Computational Molecular Bioscience (CMB) , 2013, DOI: 10.4236/cmb.2013.31001
Abstract:

HoPLLS (Hierarchy of protein loop-lock structures) (http://leah.haifa.ac.il/~skogan/Apache/mydata1/main.html) is a web server that identifies closed loops-a structural basis for protein domain hierarchy. The server is based on the loop-and-lock theory for structural organisation of natural proteins. We describe this web server, the algorithms for the decomposition of a 3D protein into loops and the results of scientific investigations into a structural “alphabet” of loops and locks.

Banded Iron Formations (BIFs) and Associated Sediments Do Not Reflect the Physical and Chemical Properties of Early Precambrian Seas  [PDF]
Zeev Lewy
International Journal of Geosciences (IJG) , 2012, DOI: 10.4236/ijg.2012.31026
Abstract: Ring-in-ring structures in Australian Early Precambrian banded iron formation (BIF) were identified as bubbling mud wavelets, which lithified during temporary exposure, contradicting the alleged BIF deep ocean origin. Least altered BIFs consist of alternating chert laminae with, and without iron oxides (or carbonates). They were precipitated during on-and-off periods of ferrous iron oxidation controlled by microbial oxygenic photosynthetic activity during solar illumination, which stopped during darkness as characterizing the Polar Regions, thus forming genuine annual varves. This polar environment is further corroborated by the magnetite-hematite-magnetite microcrystal layers in the iron-rich laminae reflecting mid-spring-summer-autumn changes in solar radiation, and by diamictite at the end of the sequence deposited from melting glaciers when the continental plate shifted to lower latitudes. BIF sequences in various countries comprise evaporates. They attest to intensive evaporation of the warm hydrothermal solution in restricted shallow lakes under the freezing dry climate up to silica (geyserite) precipitation referred to chert. The existence of oceans, mid-ocean-ridges and island arcs during the Early Precambrian results from the misinterpreted oceanic origin of BIFs and the Phanerozoic occurrences of the associated mafic-ultramafic basalt flows (Greenstone Belt).
Life on Earth Originated Where Later Microbial Oxygenic Photosynthesis Precipitated Banded Iron Formation, Suppressing Life Diversification for 1.4 Ga  [PDF]
Zeev Lewy
International Journal of Geosciences (IJG) , 2013, DOI: 10.4236/ijg.2013.410135
Abstract:

The earliest Precambrian microbial structures appear in successions with banded iron formations (BIF) suggesting genetic relationships. The hypothesis of the deep ocean origin of BIFs associated with Mid-Ocean Ridge (MOR) like features seems to have been recently supported by the discovery of peculiar microbial ecosystems with unique faunal assemblages restricted to these volcanic vents. However, new sedimentological evidence points to the accumulation of varved BIF in huge, very shallow lakes of hydrothermal-water situated on continental plates while passing through thePolar Regions, where UV radiation is minimal. The mineral-rich solutions seeped from numerous fumaroles, providing suitable conditions for chemical reactions between inorganic components, incidentally creating organic-like self-multiplying molecules long before the biologically-initiated BIF deposition. Some of these early chemoautotrophic prokaryotes developed oxygenic photosynthesis during half a year of solar illumination. The released oxygen formed iron oxides and carbonates deposited with amorphous silica (geyserite) in laminae as BIF during 3.8 - 1.9 Ga. BIF deposition consumed most of the photosynthetic oxygen for 1.4 billion years. Intensified cyanobacteria oxygenic photosynthesis during 2.4 - 2.2 Ga raised the atmospheric oxygen content (Great Oxidation Event) over the Polar Regions, forming an oxygen-ozone shield against UV radiation. It gradually extended to lower latitudes, enabling prokaryotes to leave their ecologically stable habitat and acclimatize in new ecosystems, where they diversified, leading to eukaryote evolution. The 231/ inclination of Earth’s rotation axis differentiated the solar effect on the Polar Regions, which controlled life evolution on Earth, as well as on planet Mars (25° inclination), where life probably did not evolve beyond early prokaryotes.

Risk Tolerance, Time Preference and Financial Decision-Making: Differences between Self-Employed People and Employees  [PDF]
Zeev Shtudiner
Modern Economy (ME) , 2018, DOI: 10.4236/me.2018.912133
Abstract: This study analyzes the differences between salaried employees and self-employed people, in terms of risk tolerance, time preference, and choice of financial investment channels. Both groups completed research questionnaires designed to elicit responses relevant to these questions. Analysis of the results shows that self-employed people have less risk aversion and a stronger future preference. These preferences are consistent with independent work, where the fruits of success can sometimes be harvested only after a long period of time; the risks are greater, and the level of uncertainty is higher. The subjects were also asked to choose investment channels for different amounts of money. Both self-employed people and employees chose less risky investment channels as the amounts increased. However, the self-employed people chose riskier investment channels than the employees. This decision-making tendency is clearly reflected in their choice of occupation, risk tolerance and time preference. This study can increase the self-employed people’s awareness of the characteristics that influence their financial decision-making. In addition, there is now a trend for investment advisors to focus on the psychological and demographic characteristics of clients when advising them regarding the composition of their investment portfolios. This study shows that the client’s occupation can be an important factor that ought to influence composition of the portfolio, potentially improving client satisfaction.
Characterizing Arithmetic Read-Once Formulae
Ilya Volkovich
Computer Science , 2014,
Abstract: An \emph{arithmetic read-once formula} (ROF for short) is a formula (i.e. a tree of computation) in which the operations are $\{+,\times\}$ and such that every input variable labels at most one leaf. We give a simple characterization of such formulae. Other than being interesting in its own right, our characterization gives rise to a property testing algorithm for functions computable by such formulae. To the best of our knowledge, prior to our work no characterization and/or property testing algorithm was known for this kind of formulae.
Experimental and Theoretical Considerations of Electrolyte Conductivity in Glucose Alkaline Fuel Cell  [PDF]
Lea Mor, Zeev Rubin
Circuits and Systems (CS) , 2012, DOI: 10.4236/cs.2012.31015
Abstract: The paper focuses on the conductivity of the fuel cell electrolyte in a membraneless glucose-fueled alkaline fuel cell. The electrolyte conductivity is interpreted using simple physical models, considering either the empirical behavior of the solution’s viscosity, or the consideration of ions and molecules colliding in solutions. The conductivity is expressed as a function of KOH and glucose concentrations. The physical properties of the species (i.e. radii, thermal velocity) and the chemical equilibrium constant of the reaction that glucose undergoes in an alkaline solution can be estimate by comparing the experimental results with the theory.
Current-Voltage Modeling of the Enzymatic Glucose Fuel Cells  [PDF]
Vladimir Zeev Rubin
Advances in Chemical Engineering and Science (ACES) , 2015, DOI: 10.4236/aces.2015.52018
Abstract: Enzymatic fuel cells produce electrical power by oxidation of renewable energy sources. An enzymatic glucose biofuel cell uses glucose as fuel and enzymes as biocatalyst, to convert biochemical energy into electrical energy. The applications which need low electrical voltages and low currents have much of the interest in developing enzymatic fuel cells. An analytical modelling of an enzymatic fuel cell should be used, while developing fuel cell, to estimate its various parameters, to attain the highest power value. In this paper an analytical model for enzymatic glucose membraneless fuel cell with direct electron transfer was developed. The adequacy of the model was estimated by comparison with fuel cells parameters. The electrical characteristics of fuel cells are interpreted using this model, based on theoretical consideration of ions transportation in solution. The influence of the hydrogen ions, glucose and enzyme concentration and also a thickness of enzyme layer on electrical parameters of a fuel cell were investigated. The electrical parameters such as a current, a voltage, a power were calculated by the model, for various parameters of the fuel cells. The model aimed to predict a hydrogen ions current, an electrical voltage and an electrical power in enzymatic fuel cell with direct electron transfer. The model reveals that increasing the rates of hydrogen ions generation and consumption leads to higher value of current, voltage and power.
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