Definitions for levels
lev·els

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1. Levels

   Levels is an unincorporated community in Hampshire County in the U.S. state of West Virginia. According to the 2000 census, the Levels community has a population of 147. It is home to John J. Cornwell Elementary School. Levels was originally known as Levels Cross Roads because of its location at the intersection of four roads in north-central Hampshire County: Bright's Hollow Road north to Okonoko, Little Cacapon-Levels Road southeast to Slanesville, Jersey Mountain Road south to Romney, and Frenches Station Road northwest to South Branch Depot.

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1. levels

   Horizontal lines; or as a base square to a perpendicular bob.

British National Corpus

1. Spoken Corpus Frequency

   Rank popularity for the word 'levels' in Spoken Corpus Frequency: #801

2. Written Corpus Frequency

   Rank popularity for the word 'levels' in Written Corpus Frequency: #1422

How to pronounce levels?

1. 

   Alex

   US English

   

   Daniel

   British

   

   Karen

   Australian

   

   Veena

   Indian

How to say levels in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of levels in Chaldean Numerology is: 7

2. Pythagorean Numerology

   The numerical value of levels in Pythagorean Numerology is: 3

Examples of levels in a Sentence

1. Nobuhiko Kuramochi:

   While Japanese exporters expect much lower dollar-yen assumptions, the current currency levels raise hopes for better Japan Inc earnings.

2. Reza Sanaye:

   Basics of Macro-systems' Behavior Prediction 1 .The Macro-systems with their sometimes stochastic behavior may be (good) indicators of the dispersal of information from a holistic standpoint as well as [to be discussed later on] from a regionally molecular anisotropic zone. 2. The data scattering as for systems with quasi-vector behavior on liquids, on gases, and amongst solids, when observed from an epi-phenomenological perspective versus a phenomenological one, can show that a number of classical views on mechanistic behavior of Macro-systems may be substituted with some “machinic” view.¬ 3. The abandonment of the purely mechanistic view of interfacial forces and the adoption of thermodynamic and probabilistic concepts such as free energy and entropy have been two of the most important steps towards getting out of the worn-out mechanistic notions into more abstract conceptualization of information dispersal, working instead of causality. 4. Comparison also has to be made between hermeneutics of the notion of entropic forces within and without the framework of established thermodynamics. The very word “force” is itself a bit too collocated with entropy already. What we are after is to make it next of kin to ideas of data, information, topology of data, and mereology of stochasticity. 5. The physico-chemical potentiality inside a variety of equilibrium states can be used as a platform for anisotropic configurations whereby not only the entropy of confinement, but also the entropy of dispersal find their true meaning. 6. Within contexts of classical accumulation and energy-growth models, the verifiability of any anisotropic reversal is also demonstrable, if not by means of a set of axioms, at least by multiplicities of interfacial behavior in which experimental data find their mereotopological ratios one in the neighborhood of the other (considering first, for the sake of simplicity, our state spaces to be of metric nature). 7. Thus, there remains the reciprocity of interfacial tensions calculations where surface tension gives rise to internal polarization of those data systems by which we should like to derive either axiomatic or multiple manifoldic regionalization of PREDICTION. 8. This, with a number of Chaotic and Strange-Attractors modifications, can potentially be applied even to the whole matrix of the Universe. 9. Most of the literature on systems (information) entropy regard mesoscopic level as THE one with highest aptitude for (physicalistic) data analysis. However, there are clues to indicate that some of the main streams of structuration and dynamics are EITHER in common amongst microscopic, mesoscopic, and macroscopic systems OR holistic patterns of the said structurations and dynamics can be derived one from the other two. For example, we shall show later—in the course of the unfolding of present notions—that density functional theory (DFT) which has become the physicists’ methodology for describing solids’ electronic structure, can also be extended to other methods or systems. Few-atom systems can implicate the already explicated order of, say, biomolecules if rigorous analyses are carried out over the transition phases (translational data mappings). 10. The level of likelihood of information dispersal in any nano- and pico-systems with/without (full) attachment to and/or dependence upon chemical energy exchange, relates to dynamics of differentials of those multiplicities of tubing interconnector manifolds which potentially have the capacity to harness thermal energy. This spells that consumption of chemical energy does not necessarily always act against the infusion of energy. Here, delineation has to be made over the minutiae of the differences between Micro- and Macro-systems. Any movement of lines of demarcation throughout the said systems over the issue of (non-)interdependency of data mereotopology on chemical energy exchange, may be predicted if classical nucleation and growth theories give their place to an even more rigorous science of Differences. Repetition of (observation) of such Differences makes it possible to see through some of the most “macro” levels of systematicity [we have already run some simulations of micro-spaces’ state mappings for purposes of clarifying how many of the plasma macro jet streams inside stars or in the inter-galaxial space move. Even magneticity has turned out, with all due caution, to be comparable]. The above-said Differences actually refer to potentialities within lines of thermodynamic exchanges based upon anisotropy of information. Such exchanges nominate themselves as MO exchanges when “micro” but as some the most specific gravito-convectional currents in usages for astrology, earth science, and ecology. Thence, the science will be brought out of prognosing the detailed balance of mesoscopic (ir-)reversibility in terms of data neighborhoods connectivity. On any differentiable manifold with its own ring of universal differentiable functions, we may determine to have the “installing” of modules of Kähler spaces where demarcation could be represented by: d(a+b)=da+db, d(ab)=adb+bda, and: dλ=0(a,b∈A,λ∈k)d(a+b)=da+db,d(ab)=adb+bda,dλ=0(a,b∈A,λ∈k) Where any one module has the formalism: dbdb (b∈Ab∈A). All these having been said, again we have the problematics of still remaining within the realm of classic calculus. It is likely that for Macrosystems we may decide not to apply the classical version.

3. John Cavanagh:

   Any relief that pricing may be nearing the bottom of the cycle is counterbalanced by concern over how and when rates might start to increase, even modestly, on a wider basis, the alternative is a market that faces a number of years bumping along at current levels earning very modest returns.

4. Patrick Burke:

   If there's no winner, you will see significant deployments of officers at all levels across the capital, officers will get cancellations of days off, extensions of shifts and full deployments of officers across the city.

5. Benjamin Lu:

   Crude oil futures continue to demonstrate whippy trades as markets balance between OPEC-led cuts and the effects of rising U.S. production levels.

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