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Pinpoint
No full textAsia_Reynolds_UMBC_Photo_Major_Pinpoint_February_21__2014_at_0332PMThese images were created as part of the Hughes Remix project, a collaborative endeavor developed by UMBC's Albin O. Kuhn Library Special Collections and the Department of Visual Art to foster creative engagement with archival holdings in conjunction with the 2014 Society for Photographic Education annual conference. UMBC's Special Collections offered a selection of images from the Hughes Company Glass Negatives (http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughes) collection for SPE members and conference attendees to remix, reinvent, reinterpret, and reimagine the images in this collection of Baltimore street scenes, promotional and advertising photographs, businesses, churches, schools, monuments, factories, machinery, and portraits. Images that were created were displayed during the conference as well as on a Tumblr site and are now archived in the Special Collections. Full details of the project can be found at: http://hughes-remix.tumblr.com/overview.The original Hughes Company Glass Negatives collection can be found at: http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughe
Dirty Clowns
No full textAutumn_Shifflett__Harford_Community_College__Student__Dirty_Clowns_February_21__2014_at_0718PMThese images were created as part of the Hughes Remix project, a collaborative endeavor developed by UMBC's Albin O. Kuhn Library Special Collections and the Department of Visual Art to foster creative engagement with archival holdings in conjunction with the 2014 Society for Photographic Education annual conference. UMBC's Special Collections offered a selection of images from the Hughes Company Glass Negatives (http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughes) collection for SPE members and conference attendees to remix, reinvent, reinterpret, and reimagine the images in this collection of Baltimore street scenes, promotional and advertising photographs, businesses, churches, schools, monuments, factories, machinery, and portraits. Images that were created were displayed during the conference as well as on a Tumblr site and are now archived in the Special Collections. Full details of the project can be found at: http://hughes-remix.tumblr.com/overview.The original Hughes Company Glass Negatives collection can be found at: http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughe
Untitled [Hand, grand piano, small man]
No full textCaitlin_Nichols__UMBC_February_21__2014_at_0929AMThese images were created as part of the Hughes Remix project, a collaborative endeavor developed by UMBC's Albin O. Kuhn Library Special Collections and the Department of Visual Art to foster creative engagement with archival holdings in conjunction with the 2014 Society for Photographic Education annual conference. UMBC's Special Collections offered a selection of images from the Hughes Company Glass Negatives (http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughes) collection for SPE members and conference attendees to remix, reinvent, reinterpret, and reimagine the images in this collection of Baltimore street scenes, promotional and advertising photographs, businesses, churches, schools, monuments, factories, machinery, and portraits. Images that were created were displayed during the conference as well as on a Tumblr site and are now archived in the Special Collections. Full details of the project can be found at: http://hughes-remix.tumblr.com/overview.The original Hughes Company Glass Negatives collection can be found at: http://contentdm.ad.umbc.edu/cdm/landingpage/collection/hughe
Amplified Quantum Transforms
No full textIn this thesis we investigate two new Amplified Quantum Transforms. In particular we create and analyze the Amplified Quantum Fourier Transform (Amplified-QFT) and the Amplified-Haar Wavelet Transform. The Amplified-QFT algorithm is used to solve the Local Period Problem. We calculate the probabilities of success and compare this algorithm with the QFT and QHS algorithms. We also examine the Amplified-QFT algorithm for solving the Local Period Problem with Error Stream. We use the Amplified-Haar Wavelet Transform for solving the Local Constant or Balanced Signal Decision Problem which is a generalization of the Deutsch-Jozsa problem
Does Anger Predict Long-Term Criminal Recidivism in Partner Violent Men?
No full textThe main thrust of current study was to investigate the influence of anger problems on partner violent men's criminal recidivism assessed during an 8-year period after scheduled completion of treatment. Results indicated that individuals with extensive anger problems (Pathological Anger) engage in more General Violence and Nonviolent Partner abuse than those with typical anger presentations (Normal Anger). It was also demonstrated that Anger Control and Anger Expression predict long-term General Violence. The current study is the first to demonstrate that anger problems are relevant to one's likelihood of engaging in criminal recidivism in the long term. Current treatment for intimate partner violent offenders may not be adequate for individuals with pronounced anger problems. A task for future research is to investigate treatment modalities that may better serve these individuals and to further understand the role of anger and anger regulation in treatments for partner violence
Social Benefits and Costs of the National Flood Insurance Program
No full textThis analysis retrospectively examines the National Flood Insurance Program (NFIP) using benefit-cost analysis (BCA). Congress created the NFIP in 1968 to provide flood insurance in part due to the absence of a private market for flood insurance. Since 1994, the NFIP has included a Flood Mitigation Assistance (FMA) program to provide local communities with support for flood mitigation. Together, the NFIP and NFIP programs provide the national flood protection and response strategy. This analysis estimates net social benefit of the NFIP for the years 1996 through 2010. An important element is the estimated consumer surplus for flood insurance using historical financial and survey data available from the NFIP. Using this estimate and other components of net social benefits, this analysis derives a sufficient statistic for the insurance component of the NFIP and is joined with other estimates of the benefits of the FMA to estimate the net social benefits of the combined program. A supplemental analysis is done using different income weighting scenarios in a distributionally weighted BCA. Finally, this study includes an analysis of the change in government revenue attributable to the NFIP and FMA programs. Sensitivity analysis is conducted on all results. This study concludes by finding that the NFIP and FMA programs provided a net benefit to society the years 1996 through 2010. Additionally, the NFIP and FMA are regressive. Finally, this study finds that government revenue experiences a net increase due to the NFIP program
CARBOCYCLIC FLEXIMERS: THE DESIGN AND SYNTHESIS OF A NOVEL CLASS OF CARBOCYCLIC NUCLEOSIDES
No full textNucleoside analogues have been investigated as therapeutic agents against cancers, viruses, parasites and bacteria. Unfortunately, there are growing reports of resistance to currently used therapeutics. One main cause of resistance is attributed to the development of point mutations to key amino acid residues in the active site of the target enzyme. As a result, it is imperative to develop new drugs that may overcome this resistance mechanism. In that regard, use of flexible inhibitors that have the potential to interact with other amino acids not previously involved in the mechanism of action in an enzyme binding site could prove strategic. By endowing the inhibitor with the ability to change conformation and bypass point mutations, the drug could retain biological activity whereas a rigid analogue may not. Moreover, the flexible analogue could potentially sample more favorable binding interactions thereby increasing binding affinity. These advantages have been proven fruitful with several flexible nucleoside inhibitors known as fleximers developed in the Seley-Radtke laboratory. As an extension of our preliminary findings, we have designed a series of carbocyclic flexible nucleosides for the inhibition of S-adenosylhomocysteine hydrolase, adenosine deaminase, as well as viral polymerases. These compounds focus on combining the truncated carbocyclic sugar moiety with the flexible purine nucleobase. Synthesis was optimized using various coupling techniques such as those developed by Mitsunobu, Trost, Suzuki, Stille and Negishi. Compound design, synthesis and preliminary biological data will be discussed herein
Tolerance intervals under some discrete models, zero-inflated models and mixture models
No full textComputation of tolerance limits is investigated under the logistic regression model with fixed effects and mixed effects, zero-inflated models, and some mixture models. Under the logistic regression model with fixed effects for binary responses, point-wise and simultaneous tolerance intervals are derived for the number of positive responses among a specified number of Bernoulli trials. Under the logistic regression model with mixed effects, point-wise tolerance limits are derived. The problems were motivated by a ballistic application dealing with testing the ballistic resistance of personal body armor. Methodologies used for the derivation of tolerance limits under the logistic regression model include small sample asymptotics and the bootstrap. Numerical results are reported to assess the accuracy of the proposed methodologies, and they are also illustrated using examples on the ballistic response of armor plates, where it is known that the ballistic response depends on covariates such as the velocity of the projectile. A second set of problems investigated include the computation of upper tolerance limits under zero-inflated log-normal and zero-inflated gamma distributions. Models without covariates and with covariates are separately considered, and point-wise upper tolerance limits are derived under models with covariates. For the zero-inflated log-normal model, techniques used to calculate the tolerance limits include generalized pivotal quantities (GPQs), fiducial quantities, the bootstrap, and the delta method with a bootstrap calibration. Numerical results indicate that the GPQ methodology and the bootstrap calibration of the delta method provide very satisfactory performance. For the zero-inflated gamma model, tolerance limits are calculated based on bootstrapping a pivot-like statistic, and based on the bootstrap calibration of the delta method. Once again, numerical results indicate satisfactory performance. The results are applied to a variety of zero-inflated data sets: health expenditure data, rainfall data, and body armor protection data. The final topic investigated is the derivation of tolerance limits under some mixture models. The normal-normal and lognormal-normal mixture models are first explored. Models with three and four mixtures of normal distributions and the normal-normal regression model are then investigated. Tolerance limits under all of these mixture models are obtained based on a bootstrap calibration of the delta method. This approach produced good results for all the models examined. The case of two mixtures was motivated by an application dealing with the evaluation of the safety of nuclear power plants based on data that are outputs of computer codes used to simulate nuclear accidents. Traditionally, non-parametric tolerance limits are used for this purpose, but the data clearly indicated a mixture distribution: normal-normal or lognormal-normal. Upper tolerance limits computed under the mixture model turned out to be smaller compared to the non-parametric upper tolerance limit. Extensive numerical results and a variety of examples are also included
Identifying Malware Using N-Gram Clustering Metrics
No full textWe identify a new method for detecting malware within a network that can be processed in linear time. In the digital age, more files are transferred between individuals and systems that have the potential to contain malignant processes. Traditional malware detection and analysis is performed by signature based operations or by hashing current files. A malicious attacker can quickly change found signatures or change various processes to defeat hash based detection. We need a way to quickly identify malicious files to stage them for quarantine and further analysis. In this thesis we observe the previous methods used to detect malware and develop a new process to identify malware using n-gram analysis to cluster malware specimens by their similarity to each other. Specimens from a well-known malware family are used in this demonstration