Modeling Overstock

Two main problems have been emerging in supply chain management: the increasing pressure to reduce working capital and the growing variety of products. Most of the popular indicators have been developed based on a controlled environment. A new indicator is now proposed, based on the uncertainty of the demand, the flexibility of the supply chains, the evolution of the products lifecycle and the fulfillment of a required service level. The model to support the indicator will be developed within the real options approach.overstock, stock management, real options

The Public Health Crisis of Alcoholism: What could be done better in Rhode Island?

Alcoholism is a chronic issue that affects over 3 million people per year in the United States. It is characterized by an individual who is physiologically dependent on alcohol to the point where they cannot carry out common social activities such as having friends or holding down a job. Approximately 88,000 people die per year due to alcohol related events. The economic impact due to hospital bills, criminal justice costs, and lost productivity of the abuser is estimated at $400 billion annually. Alcohol abuse can be used as a coping mechanism in adolescents who are struggling with behavioral health issues that could eventually lead to long-term abuse and lowered life expectancy. Given the harsh effects alcohol use can have on society, it is important to address this issue from a public health point of view where we can confront the direct causes and put in place prevention and treatment programs at the national, state, and local levels. Rhode Island is a densely populated state that has issues with substance abuse and alcohol abuse in particular. A 2015 CDC study showed that 17% of Rhode Island adults admitted to binge drinking in the past month. This is in between the highest (North Dakota at 24.9%) and lowest (Utah at 11.4%) prevalences. The focus of this research is to understand alcohol abuse disorder and research the causes, complications, and treatment options. An overall theme is to understand what Rhode Island could do better in terms of prevention and treatment options. The research done in this article will be supplemented by interviews with healthcare workers who work directly with alcohol abuse patients. Studies have shown that screening children for alcohol abuse risk factors, implementing more residential inpatient treatment centers and decreasing alcohol outlets may lower the alcohol abuse prevalence

A multifrequency method for the solution of the acoustic inverse scattering problem

We are interested in solving the time-harmonic inverse acoustic scattering problem for planar sound-soft obstacles. In this work, we introduce four methods for solving inverse scattering problems. The first method is a variation of the method introduced by Johansson and Sleeman. This method solves the inverse problem when we have the far field pattern given for only one incident wave. It is an iterative method based on a pair of integral equations used to obtain the far field pattern of a known single object. The method proposed in this thesis has a better computational performance than the method of Johansson and Sleeman. The second method we present is a multi-frequency method called the recursive linearization algorithm. This method solves the inverse problem when the far field pattern is given for multiple frequencies. The idea of this method is that from an initial guess, we solve the single frequency inverse problem for the lowest frequency. We use the result obtained as the initial guess to solve the problem for the next highest frequency. We repeat this process until we use the data from all frequencies. To solve the problem at each frequency, we use the first method proposed. To improve the quality of the reconstruction of the shadowed part of the object, we solve the inverse scattering problem of reconstructing an unknown sound-soft obstacle in the presence of known scatterers. We show that depending on the position of the scatterers, we may be able to obtain very accurate reconstructions of the entire unknown object. Next, we introduce a method for solving the inverse problem of reconstructing a convex sound-soft obstacle, given measures of the far field pattern at two frequencies that are not in the resonance region of the object. This method is based on the use of an approximation formula for the far field pattern using geometric optics. We are able to prove that for the reconstruction of the circle of radius $R$ and center at the origin, the size of the interval of convergence of this method is proportional to the inverse of the wavenumber. This procedure is effective at reconstructing the illuminated part of the object; however, it requires an initial guess close to the object for frequencies out of the resonance region. Finally, we propose a globalization technique to obtain a better initial guess to solve the inverse problem at frequencies out of the resonance region. In this technique, given the far field pattern of a convex object at two frequencies out of the resonance region, we use our extrapolation operator to generate synthetic data for low frequencies. We apply the recursive linearization algorithm, using as a single frequency solver the method that is based on geometric optics. We obtain an approximation of the object that can be used as the initial guess to apply the recursive linearization algorithm using the first method introduced as the single frequency solver

Spectra: Robust Estimation of Distribution Functions in Networks

Distributed aggregation allows the derivation of a given global aggregate property from many individual local values in nodes of an interconnected network system. Simple aggregates such as minima/maxima, counts, sums and averages have been thoroughly studied in the past and are important tools for distributed algorithms and network coordination. Nonetheless, this kind of aggregates may not be comprehensive enough to characterize biased data distributions or when in presence of outliers, making the case for richer estimates of the values on the network. This work presents Spectra, a distributed algorithm for the estimation of distribution functions over large scale networks. The estimate is available at all nodes and the technique depicts important properties, namely: robust when exposed to high levels of message loss, fast convergence speed and fine precision in the estimate. It can also dynamically cope with changes of the sampled local property, not requiring algorithm restarts, and is highly resilient to node churn. The proposed approach is experimentally evaluated and contrasted to a competing state of the art distribution aggregation technique.Comment: Full version of the paper published at 12th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Stockholm (Sweden), June 201

Department of Applied Mathematics Academic Program Review, Self Study / June 2010

The Department of Applied Mathematics has a multi-faceted mission to provide an exceptional mathematical education focused on the unique needs of NPS students, to conduct relevant research, and to provide service to the broader community. A strong and vibrant Department of Applied Mathematics is essential to the university's goal of becoming a premiere research university. Because research in mathematics often impacts science and engineering in surprising ways, the department encourages mathematical explorations in a broad range of areas in applied mathematics with specific thrust areas that support the mission of the school

Percepções de indivíduos portadores de diabetes mellitus sobre a doença.

Trabalho de Conclusão de Curso - Universidade Federal de Santa Catarina, Centro de Ciências da Saúde, Departamento de Saúde Pública, Curso de Medicina, Florianópolis, 200

D∗(R;⩽) does not imply D1∗

AbstractWe prove that the cyclic monotonically normal space T of Rudin is not a J2-space. Consequently, T has the monotone extension property but does not have D1∗ or D∗(R; + ;cch). This answers some questions of van Douwen