1,798 research outputs found

    The Dynamics of Hope in Unkrich and Molina’s Coco

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    This study analyzes how the characters in Lee Unkrich and Adrian Molina’s animated film Coco, mainly Mamá Imelda, Héctor, and Miguel, manage their emotional responses when they are facing loss, bereavement, or other significant changes in their lives. The study uses Elisabeth Kübler-Ross’s five-stage model of grief to analyze how these characters go through the grieving process. Moreover, in order to suggest how those who are grieving can enter into positive states of mind, the study expands on Kübler-Ross’s original model by incorporating a positive mindset of hope. In dialogue with Unkrich and Molina’s film, the study uses Kübler-Ross’s ideas to explore coping mechanisms that can help manage difficult times in life, while also suggesting the benefits of maintaining a positive mindset through hope

    High-resolution carbonate stratigraphy of IMAGES core MD972151 from South China Sea

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    High-resolution carbonate stratigraphy of the deep-sea core MD972151 from the southwestern South China Sea shows millennial-scale variability similar to oxygen isotopic fluctuations recorded in ice cores from Greenland. In a long term of glacial-interglacial scale, carbonate contents in the interglacial time (up to 25 % by weight) were higher than that in the glacial periods (5-15 % by weight). Even for the last glacial, carbonate contents are relatively high in the interstadial events and low in the stadial horizons. This demonstrates clearly that carbonate content in the continental slope above the lysocline in the southwestern South China Sea is primarily controlled by dilution of terrigenous inputs, which in turn is due to sea-level fluctuations in response to changes of ice volume in high latitude regions

    Disordered Fe vacancies and superconductivity in potassium-intercalated iron selenide (K2-xFe4+ySe5)

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    The parent compound of an unconventional superconductor must contain unusual correlated electronic and magnetic properties of its own. In the high-Tc potassium intercalated FeSe, there has been significant debate regarding what the exact parent compound is. Our studies unambiguously show that the Fe-vacancy ordered K2Fe4Se5 is the magnetic, Mott insulating parent compound of the superconducting state. Non-superconducting K2Fe4Se5 becomes a superconductor after high temperature annealing, and the overall picture indicates that superconductivity in K2-xFe4+ySe5 originates from the Fe-vacancy order to disorder transition. Thus, the long pending question whether magnetic and superconducting state are competing or cooperating for cuprate superconductors may also apply to the Fe-chalcogenide superconductors. It is believed that the iron selenides and related compounds will provide essential information to understand the origin of superconductivity in the iron-based superconductors, and possibly to the superconducting cuprates

    Optimal production-shipment decisions for the finite production rate model with scrap

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    This paper is concerned with the decision-making on the optimal production batch size and optimal number of shipments for a finite production rate model with random scrap rate. The classic finite production rate (FPR) model assumes a continuous inventory issuing policy for satisfying product demand and perfect quality for all items produced. However, in a real life vendor-buyer integrated production-inventory system, a multiple shipment policy is practically used in lieu of the continuous issuing policy, and it is inevitable to generate defective items during a production run. All nonconforming items produced are assumed to be scrap, and the finished (perfect quality) products can only be delivered to customers if the whole lot is quality assured at the end of the production run. The fixed-quantity multiple instalments of the finished batch are delivered to customers at a fixed interval of time. Mathematical modelling is employed and the renewal reward theorem is used to cope with the variable production cycle length. The long-run average cost for the proposed model is derived, and its convexity is proved by the use of the Hessian matrix equations. A closed-form optimal production-shipment policy for such an imperfect FPR model is obtained and a special case is discussed. Finally, a numerical example is provided to demonstrate the model’s practical usage
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