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The typical boat storage tank is either fixed in position or has a plurality of wheels or the like, enabling the boat to be pulled from its mooring or the like. However, with no ability to move, such a fixed or wheeled storage tank is not well-suited for fuel spills or other low volume events and may cause damage to the surroundings.
Thus, a need exists for an improved fuel storage tank for use on boats or the like. In particular, a need exists for an improved skid-mounted fuel storage tank that is easily moved.Manifold Divergence-Based Localized Metrics for Efficient Multi-View Embedding.
In this paper, we present a novel approach to learn a low-dimensional manifold for multiple views of the data points, namely multi-view embedding. While existing multi-view embedding algorithms consider the data points as a low-dimensional manifold, we aim to realize multi-view embedding with a similar manifold structure. In addition, we exploit the intrinsic manifold structure of the data points to learn the low-dimensional manifold, and instead of pushing all the data points onto the low-dimensional manifold, we learn local neighborhood models for different data points. This is motivated by the fact that, in our real-world data sets, a few data points are similar and behave nearly locally. We construct these local neighborhoods by adopting a novel strategy of manifold divergence that measures the dissimilarity between any two nearby

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Black holes. Viruses. Actin and myosin. The bulk of the world’s various strings and branes are well-understood. And even though physicists believe that the world is comprised of energy, matter, space, and time, they are still unsure how those things interact—except in colliders that smash particles together at high speeds. Until recently, it’s been difficult for physicists to explore objects that are that small and immaterial, and the nature of fundamental particles themselves has been a mystery.

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