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Framingham Center, MA, United States

Framingham State University is located in Framingham, Massachusetts, United States, 20 miles from Boston. It offers undergraduate programs in a range of subjects, including Art, Biology, and Communication Arts, and graduate programs, including MBA, MEd, and MS. Wikipedia.

Penmatsa S.,Framingham State University
Proceedings of the 30th International Conference on Computers and Their Applications, CATA 2015 | Year: 2015

Modern distributed computing systems provide a variety of services to the users one of which is a utility service. Consumers (users) of utility computing resources pay the providers for specific usage rather than a flat rate. The providers should make an allocation of users' jobs to the computing resources of distributed utility systems that provide fairness in terms of the price that has to be paid for executing a job (compared to the price for other jobs of similar size in the system) and that also minimizes the overall cost for the users. In this paper, we study a load balancing scheme for utility-computing systems with central-server node model whose objective is to provide fairness to the users' jobs and reduce the overall cost for the user. The performance of the proposed load balancing scheme is evaluated using computer modeling with various distributed system configurations. Copyright © 2015 by The International Society for Computers and Their Applications (ISCA). Source

Cromley R.G.,University of Connecticut | Lin J.,University of Connecticut | Merwin D.A.,Framingham State University
International Journal of Geographical Information Science | Year: 2012

A common problem in location-allocation modeling is the error associated with the representation and scale of demand. Numerous researchers have investigated aggregation errors associated with using different scaled data, and more recently, error associated with the geographic representation of model objects has also been studied. For covering problems, the validity of using polygon centroid representations of demand has been questioned by researchers, but the alternative has been to assume that demand is uniformly distributed within areal units. The spatial heterogeneity of demand within areal units thus has been modeled using one of two extremes - demand is completely concentrated at one location or demand is uniformly distributed. This article proposes using intelligent areal interpolation and geographic information systems to model the spatial heterogeneity of demand within spatial units when solving the maximal covering location problem. The results are compared against representations that assume demand is either concentrated at centroids or uniformly distributed. Using measures of scale and representation error, preliminary results from the test study indicate that for smaller scale data, representation has a substantial impact on model error whereas at larger scales, model error is not that different for the alternative representations of the distribution of demand within areal units. © 2012 Copyright Taylor and Francis Group, LLC. Source

Dijkstra J.A.,University of New Hampshire | Lambert W.J.,Framingham State University | Harris L.G.,University of New Hampshire
Biological Invasions | Year: 2013

Non-native species are recognized as important components of change to food web structure. Non-native prey may increase native predator populations by providing an additional food source and simultaneously decrease native prey populations by outcompeting them for a limited resource. This pattern of apparent competition may be important for plants and sessile marine invertebrate suspension feeders as they often compete for space and their immobile state make them readily accessible to predators. Reported studies on apparent competition have rarely been examined in biological invasions and no study has linked seasonal patterns of native and non-native prey abundance to increasing native predator populations. Here, we evaluate the effects of non-native colonial ascidians (Diplosoma listerianum and Didemnum vexillum) on population growth of a native predator (bloodstar, Henricia sanguinolenta) and native sponges through long-term surveys of abundance, prey choice and growth experiments. We show non-native species facilitate native predator population growth by providing a novel temporal resource that prevents loss of predator biomass when its native prey species are rare. We expect that by incorporating native and non-native prey seasonal abundance patterns, ecologists will gain a more comprehensive understanding of the mechanisms underlying the effects of non-native prey species on native predator and prey population dynamics. © 2012 Springer Science+Business Media Dordrecht. Source

Ferraro V.,Framingham State University
Journal of Quantitative Criminology | Year: 2016

Objectives: Drawing from a social disorganization perspective, this research addresses the effect of immigration on crime within new destinations—places that have experienced significant recent growth in immigration over the last two decades. Methods: Fixed effects regression analyses are run on a sample of n = 1252 places, including 194 new destinations, for the change in crime from 2000 to the 2005–2007 period. Data are drawn from the 2000 Decennial Census, 2005–2007 American Community Survey, and the Uniform Crime Reports. Places included in the sample had a minimum population of 20,000 as of the 2005-07 ACS. New destinations are defined as places where the foreign-born have increased by 150 % or more since 1990 and with a minimum foreign-born population of 1000 in 2007. Results: Results indicate new destinations experienced greater declines in crime, relative to the rest of the sample. Moreover, new destinations with greater increases in foreign-born experienced greater declines in their rates of crime. Additional predictors of change in crime include change in socioeconomic disadvantage, the adult-child ratio, and population size. Conclusions: Results fail to support a disorganization view of the effect of immigration on crime in new destinations and are more in line with the emerging community resource perspective. Limitations and suggestions for future directions are discussed. © 2015, Springer Science+Business Media New York. Source

Long L.,Framingham State University
Clinical Journal of Oncology Nursing | Year: 2013

Breast cancer is the most common cancer diagnosed in women. Nipple-sparing mastectomy (NSM) offers the opportunity to preserve the breast envelope and the nipple-areolar complex by removing only breast tissue and avoiding multiple surgical procedures for reconstruction. The objective of this article is to review the oncologic and surgical concerns with NSM, along with the appropriate selection of patients and potential postoperative complications. A review of the literature was conducted through MEDLINE®, PubMed, and Google Scholar, focusing on recent research. The findings revealed that although the oncologic safety of NSM continues to be debated, indications are strong that cancer recurrence rates are low and the aesthetic motivation is high for carefully screened patients. From those findings, considerations for patient education regarding risks and expectations are described. Nurses in a variety of cancer care settings can use this information to address the concerns of patients making decisions regarding surgical options and adjusting to postoperative body image expectations and changes. © Oncology Nursing Society. Source

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