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On The Mathematical Analysis of An Ancient Greek Tragedy (A CURE AT TROY) Using Mathematical Set Theory To Analyze Patterns In Character And Story Structure; The Production And Direction Of That Greek Tragedy Using Vectors To Direct Action And Objectives In 2-Space; And The Research, Writing, And Production Of A

On The Mathematical Analysis of An Ancient Greek Tragedy (A CURE AT TROY) Using Mathematical Set Theory To Analyze Patterns In Character And Story Structure; The Production And Direction Of That Greek Tragedy Using Vectors To Direct Action And Objectives In 2-Space; And The Research, Writing, And Production Of A Reading Of A New Play (A TREE DISAPPEARS) On The Analogies Of Forestry Management Practices To Family Relationships.
ContributorsFox, Ethan (Author) / Partlan, William (Thesis director) / Lynch, John (Committee member) / Pinholster, Jacob (Committee member) / School of Film, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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In online social networks the identities of users are concealed, often by design. This anonymity makes it possible for a single person to have multiple accounts and to engage in malicious activity such as defrauding a service providers, leveraging social influence, or hiding activities that would otherwise be detected. There

In online social networks the identities of users are concealed, often by design. This anonymity makes it possible for a single person to have multiple accounts and to engage in malicious activity such as defrauding a service providers, leveraging social influence, or hiding activities that would otherwise be detected. There are various methods for detecting whether two online users in a network are the same people in reality and the simplest way to utilize this information is to simply merge their identities and treat the two users as a single user. However, this then raises the issue of how we deal with these composite identities. To solve this problem, we introduce a mathematical abstraction for representing users and their identities as partitions on a set. We then define a similarity function, SIM, between two partitions, a set of properties that SIM must have, and a threshold that SIM must exceed for two users to be considered the same person. The main theoretical result of our work is a proof that for any given partition and similarity threshold, there is only a single unique way to merge the identities of similar users such that no two identities are similar. We also present two algorithms, COLLAPSE and SIM_MERGE, that merge the identities of users to find this unique set of identities. We prove that both algorithms execute in polynomial time and we also perform an experiment on dark web social network data from over 6000 users that demonstrates the runtime of SIM_MERGE.
ContributorsPolican, Andrew Dominic (Author) / Shakarian, Paulo (Thesis director) / Sen, Arunabha (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Leonard Hayflick studied the processes by which cells age during the twentieth and twenty-first centuries in the United States. In 1961 at the Wistar Institute in the US, Hayflick researched a phenomenon later called the Hayflick Limit, or the claim that normal human cells can only divide forty to sixty

Leonard Hayflick studied the processes by which cells age during the twentieth and twenty-first centuries in the United States. In 1961 at the Wistar Institute in the US, Hayflick researched a phenomenon later called the Hayflick Limit, or the claim that normal human cells can only divide forty to sixty times before they cannot divide any further. Researchers later found that the cause of the Hayflick Limit is the shortening of telomeres, or portions of DNA at the ends of chromosomes that slowly degrade as cells replicate. Hayflick used his research on normal embryonic cells to develop a vaccine for polio, and from HayflickÕs published directions, scientists developed vaccines for rubella, rabies, adenovirus, measles, chickenpox and shingles.

Created2014-07-20
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Although best known for his work with the fruit fly, for which he earned a Nobel Prize and the title "The Father of Genetics," Thomas Hunt Morgan's contributions to biology reach far beyond genetics. His research explored questions in embryology, regeneration, evolution, and heredity, using a variety of approaches.

Created2007-09-25
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Created1935