How to pronounce simulations in English

Moons are always changing their orbits.That’s inevitable, but that fact allows us to use computer simulations to tease out the history of Saturn’s inner moons.

They go through different simulations for launch and zero-gravity, the phases of the mission, and then what do if something goes wrong.

We are very uniform in our sky coverage and can find all types of orbits, yet we seem to only be finding objects with similar types of orbits that are on the same side of the sky, suggesting something is shepherding them into these similar types of orbits, which we believe is Planet X, what makes this result really interesting is that Planet X seems to affect 2015 TG387 the same way as all the other extremely distant Solar System objects. These simulations do not prove that there's another massive planet in our Solar System, but they are further evidence that something big could be out there.

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.

We plotted up the positions of those objects and their orbits, and they matched the simulations exactly, when we found that, my jaw sort of hit the floor.

What happens if a big asteroid hits Earth ? Judging from realistic simulations involving a sledge hammer and a common laboratory frog, we can assume it will be pretty bad.

There are no structures, vehicle gates, lighting, or other aides to enhance the training simulations at the JJRTC (training center).

But that fact allows us to use computer simulations to tease out the history of Saturn’s inner moons, doing so, we find that they were most likely born during the most recent 2 percent of the planet’s history. Related : Saturn's largest moon Titan is bursting with color Researchers had long thought Saturn’s rings were as old as the planet itself. But that thinking changed in 2012, when French astronomers found that tidal effects – the gravitational interaction of the inner moons with fluids deep in Saturn’s interior – are causing them to spiral to larger orbital radii comparatively quickly. The implication, given their present positions, is that these moons, and presumably the rings, are not so old. That still did n’t answer exactly when they were born. Cuk and his team turned to results from NASA’s Cassini mission, which has observed ice geysers on Saturn’s moon Enceladus. Assuming that the energy powering these geysers comes directly from tidal interactions and that Enceladus ’ level of geothermal activity is more or less constant, then the tides within Saturn are quite strong. According to the team’s analysis, these would move the satellite by the small amount indicated by the simulations in only about 100 million years. Related : Cassini probe takes' cosmic bulls-eye' of Saturn moons Enceladus, Tethys This would date the formation of the major moons of Saturn, with the exception of more distant Titan and Iapetus, to the relatively recent Cretaceous Period, the era of the dinosaurs.

Before patient arrival, test participants with the 44th Medical Brigade studied patient information on the Medical Hands-free Unified Broadcast device. ( Ashley Force, U.S. Army) Testing of the device has been taking place at the U.S. Army Aeromedical Research Laboratory( USAARL) in Fort Rucker, Ala. The test, which examined how field hospital staff used the device, involved mass casualty simulations with mannequinsmocked up to look like combat victims with gunshot wounds, burns and amputations. The so-called golden hour for battlefield medical treatment is a cornerstone of U.S. military medicine. The term refers to the all-important 60 minutes following a battlefield wound and the critical importance of swift, effective medical care. MARINES 3D-PRINT CONCRETE BARRACKS IN JUST 40 HOURS Anything that helps speed up treatment could prove key to saving lives. For some patients, the Golden Hour is ultimately too long, these patients need to be treated within minutes.

We need to develop new testing environments that go beyond the conventional models operating today, it sounds like rapid simulations and evaluations would be possible with CITE, which would allow us to cycle through tests much faster.