377,203 research outputs found

    Liminal

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    Poetry by Jessica Benzing

    While You Lie Sleeping, My Guilty Heart\u27s Awake

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    Investigating the Ways the Irish Learn Music

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    A Step in the Wrong Direction- Increasing Restrictions on Foreign Rural Land and Acquisition in Brazil

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    Lonely Too Long: Redefining and Reforming Juvenile Solitary Confinement

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    Solitary confinement is a frequently used penal tool in all fifty states against all types of offenders. However, since its development in the 1800s, solitary confinement has been found to have damaging psychological effects. Juvenile inmates in particular suffer the greatest psychological damage from solitary confinement because their brains are still in a developmental state. This has led many to propose various reforms that would either end or limit the use of solitary confinement for those under the age of eighteen. However, new neurological studies on brain development show that inmates between the ages of eighteen and twenty-five also suffer similar psychological harms and therefore should be included in these reforms. Pulling from these new neurological studies, this Note proposes federal legislation that would limit the use of solitary confinement for inmates under the age of twenty-five

    An ACO-Inspired, Probabilistic, Greedy Approach to the Drone Traveling Salesman Problem

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    In recent years, major companies have done research on using drones for parcel delivery. Research has shown that this can result in significant savings, which has led to the formulation of various truck and drone routing and scheduling optimization problems. This paper explains and analyzes a new approach to the Drone Traveling Salesman Problem (DTSP) based on ant colony optimization (ACO). The ACO-based approach has an acceptance policy that maximizes the usage of the drone. The results reveal that the pheromone causes the algorithm to converge quickly to the best solution. The algorithm performs comparably to the MIP model, CP model, and EA of Rich & Ham (2018), especially in instances with a larger number of stops
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