98,976 research outputs found

    Joshua Davis: Author of Spare Parts

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    Citation: K-State First (2016). Joshua Davis: Author of Spare Parts [Flier]. Manhattan, Kansas: K-State First.Flyer advertising Joshua Davis's author talk at Kansas State University

    Steven Johnson Author Talk Poster

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    K-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book

    Discovery of a transient radiation belt at Saturn

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    Radiation belts have been detected in situ at five planets. Only at Earth however has any variability in their intensity been heretofore observed, in indirect response to solar eruptions and high altitude nuclear explosions. The Cassini spacecraft's MIMI/LEMMS instrument has now detected systematic radiation belt variability elsewhere. We report three sudden increases in energetic ion intensity around Saturn, in the vicinity of the moons Dione and Tethys, each lasting for several weeks, in response to interplanetary events caused by solar eruptions. However, the intensifications, which could create temporary satellite atmospheres at the aforementioned moons, were sharply restricted outside the orbit of Tethys. Unlike Earth, Saturn has almost unchanging inner ion radiation belts: due to Saturn's near-symmetrical magnetic field, Tethys and Dione inhibit inward radial transport of energetic ions, shielding the planet's main, inner radiation belt from solar wind influences

    <i>Atmospheric</i> moons Galileo would have loved

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    AbstractIn the spirit of the symposium and the theme of the session of this presentation, “Our solar system after Galileo, the grand vision,” I review briefly a relatively recently discovered phenomenon in the solar system – existence of atmospheres on certain moons, including Io, one of the four moons Galileo discovered four centuries ago. The origin of such atmospheres is discussed, and comparisons are made between various gassy moons.</jats:p

    Exchange of impact-generated dust between the Galilean moons

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    Abstract. The dust environment of Jupiter consists of various dynamically different parts: tenuous dust rings around the planet, dust streams emanating from the volcanic plumes of Io, impact-generated dust clouds around the Galilean moons, and dilute populations of dust in the outer parts of the Jupiter system. The main source of dust material in the jovian system is impact ejection from the surface of (especially the smaller) moons, caused by high-velocity micrometeoroid impacts. The dust particles are relatively short-lived, and their orbital evolution is influenced by various different forces, including gravitational forces, solar radiation forces, electromagnetic forces and drag due to plasma in the system. In the vicinity of the Galilean moons there exists a faint ring, consisting of dust material ejected from the surface of Galilean moons by micrometeoroid impacts. In contrast to the dust detached from the small moons in the inner Jupiter system, most of the material ejected from the Galilean moons moves on ballistic trajectories and re-impacts the surface of the moons. From the dust material ejected from the surface of the Galilean moons, only a small fraction manages to escape into circumjovian orbits. These escaped grains form a broad, but extremely faint ring, concentrated between the orbits of Io and Europa. Historically, a good majority of research in the Jovian dust environment has focused on the dynamics of the ring system, whereas dust in the vicinity of the Galilean satellites has attracted less attention. However, the measurements in this region by the Galileo dust instrument and the detection of impact-generated clouds have stipulated new interest, especially in view of the forthcoming missions to the Jupiter system, like the Jupiter Icy Moons Explorer by the European Space Administration, and the Europa Clipper -mission by the National Aeronautics and Space Administration, both planned for launch in the 2020s. The goal of the thesis was to derive the fluxes of dust on the surfaces of each of the Galilean moons, using the results on the dust environment of the moons from the Jovian Meteoroid Environment Model (JMEM). To this end, a program using the software Interactive Data Language was created, that directly employs functions from JMEM and then constructs the fluxes on a given surface element of a moon. To visualize the final results, contour plots of the flux distributions on the surface of the four moons were produced, explaining the effect of different parameters for the dust configuration. To support the interpretation of the final dustmap results in terms of orbital motion and evolution of dust, a simple analytical model using a fixed semimajor axis and a model distribution of eccentricities for the simulated orbits of dust, was used to produce a theoretical distribution of impact angles of dust on the surface of the Galilean moons. Through the created contour plots, leading-trailing asymmetries for the flux of dust impacting on the surface of the moons were identified and interpreted in light of this analytical model

    If All Moons Were Honeymoons

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    First Line: You dear old moon I'm wonderingFirst Line of Chorus: If all the moons were honeymoonsTitle of Larger Work: The Goddess of LibertyKey: F Majo

    Integration of batch order picking and vehicle routing

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    Functions in supply chain management are interrelated. This means that optimization of the decisions in these functions can benefit from integration of the decision problems. The most well-known integration is the combination of production scheduling and vehicle routing. As e-commerce is growing fast, the function, which proceeds vehicle routing, is not production but warehouse operations. Therefore, it is useful to study the integrated problem of order picking in the warehouse and vehicle routing. Order picking can be done in two ways: a picking route per customer order (called discrete order picking) or a picking route involving multiple customer orders (called batch order picking). The effect of batching is studied in this paper

    On the weight spaces of Lie algebra modules and their Jordan kernel

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    Let L be a finite-dimensional Lie algebra over a field k of characteristic zero and let V be an L module. If S is a subset of L and i a function from S to k, we define the eigenspace V,(S) and the weight space V'(S) of V with respect to ;1 (and S) by vj,(s)= {UE V~vxES,XU=l"(x)u}, v"(S)= {VE VIvxES,3nEN, [x-A(x)]"u=O). Particularly, if S has only one element, we use the notations V,+,(s) and V"'"'(s) instead of V,({s}) and vi-({s}) and, if S coincides with L, we write V1 and V" instead of V,(L) and V'(L). If V'(S) is nonzero, we call 1 a weight of S in V. Remark that, if V is finite-dimensional, V'(S) is the set of all u E V such that [x-n(x)]" v = 0 for all x E L, where n is the dimension of V. It is clear that V, is a submodule of V, contained in V". Moreover, if V, is nonzero, then I must be a character of L (i.e., A is linear and ;1([L, L]) = 0). In [8] Smith asks wether Vi must be nonzero, if V" is non-zero. In case V is finite-dimensional, she answers this question affirmatively in [9] and she also proves that, in that situation, V" is a submodule of I'. These results may be generalized to arbitrary L modules V [Theorem 31. We are able to give a new characterization of these weight spaces [Theorem 11, Proposition 131 which greatly simplifies their actual computation. We also take special interest in applying these results to the case where V is either the universal enveloping algebra U(L) of L or its division ring of quotients D(L). In the latter case, each weight vector of D(L) can be written as a quotient of a weight vector of U(L) by a nonzero eigenvec-tor (semi-invariant) of U(L) [Proposition 173. Furthermore, we define the 28We would like to express our gratitude to A. Joseph, R. Rentschler, and P. Tauvel for giving some helpful suggestions and for inviting the first author to hold a talk on the subject at the “Seminaire sur les Algtbres Enveloppantes” at the University of Paris. In particular, we would like to thank R. Rentschler for pointing out to us Propositions 2 and 1

    Integration of batch order picking and vehicle routing

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    Functions in supply chain management are interrelated. This means that optimization of the decisions in these functions can benefit from integration of the decision problems. The most well-known integration is the combination of production scheduling and vehicle routing. As e-commerce is growing fast, the function, which proceeds vehicle routing, is not production but warehouse operations. Therefore, it is useful to study the integrated problem of order picking in the warehouse and vehicle routing. Order picking can be done in two ways: a picking route per customer order (called discrete order picking) or a picking route involving multiple customer orders (called batch order picking). The effect of batching is studied in this paper

    Batch Order and Discrete Order Picking Integrated with Vehicle Routing Decisions

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    In a business-to-consumer (B2C) context, customers order more frequently and in smaller quantities, resulting in a high number of consignments. Moreover, online shoppers expect a fast and accurate delivery at low cost or even free. To survive in such a market, companies can no longer optimise individual supply chain processes, but need to integrate several activities. In this article, the integrated order picking-vehicle routing problem is analysed in an e-commerce environment. In previous research, a mathematical programming formulation has been formulated in literature but only small-size instances can be solved to optimality. Two picking policies are studied: discrete order picking and batch order picking. The influence of various problem contexts on the value of integration is investigated: a small picking time period, outsourcing to 3PL service providers, and a dynamic environment context
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