Experience with Baye's Theorem for Computer Diagnosis of Congenital Heart Disease

journal articleBiomedical Informatic

Regulation of Cardiac Output Through Stroke Volume

journal articleBiomedical Informatic

Quantitation of Backflow in Patients with Aortic Insufficiency Using an Indicator Technic

journal articleBiomedical Informatic

Phishing Intelligence Using the Simple Set Comparison Tool

Phishing websites, phish, attempt to deceive users into exposing their passwords, user IDs, and other sensitive information by imitating legitimate websites, such as banks, product vendors, and service providers. Phishing investigators need fast automated tools to analyze the volume of phishing attacks seen today. In this paper, we present the Simple Set Comparison tool. The Simple Set Comparison tool is a fast automated tool that groups phish by imitated brand allowing phishing investigators to quickly identify and focus on phish targeting a particular brand. The Simple Set Comparison tool is evaluated against a traditional clustering algorithm over a month\u27s worth of phishing data, 19,825 confirmed phish. The results show clusters of comparable quality, but created more than 37 times faster than the traditional clustering algorithm. Keywords: phishing, phish kits, phishing investigation, data mining, parallel processin

A Mathematical Approach to Medical Diagnosis: Application to Congenital Heart Disease

journal articleBiomedical Informatic

Evaluation of a Computer Program for Diagnosis of Congenital Heart Disease

journal articleBiomedical Informatic

Investigating the effects of calcium carbonate and benzoic acid, corn protein sources, and a dried fermentation product in the diets of nursery pigs

Master of ScienceDepartment of Animal Sciences and IndustryJoel M DeRoucheyThe 3 chapters of this thesis involve 1) effects of added calcium carbonate with and without benzoic acid on weanling pig growth performance, fecal dry matter, and blood Ca and P concentrations, 2) evaluation of different corn protein sources on nursery pig growth performance and fecal dry matter, and 3) evaluation of a dried fermentation product administered through drinking water on nursery pig growth performance, fecal E. coli characterization, antibiotic usage, and mortality. Chapter 1 utilized 1,055 pigs in two experiments. In Exp. 1, 695 pigs were used in two groups to evaluate increasing calcium carbonate (CaCO3) levels from 0 to 1.80%. Experiment 2 utilized 350 pigs to investigate the interactive effects between CaCO3 and benzoic acid. In Exp. 2, CaCO3 was included at 0.45, 0.90, and 1.35% with and without 0.50% inclusion of benzoic acid. In both experiments, increasing CaCO3 in the diet decreased G:F. In Exp. 2, there was no evidence for CaCO3 × benzoic acid interactions, but providing benzoic acid improved ADG, ADFI, and tended to improve G:F. As well, the level CaCO3 was directly reflective of serum Ca; as CaCO3 decreased in the diet, so did serum Ca. Chapter 2 involved 670 nursery pigs in two experiments to investigate corn co-products as replacements to specialty protein sources in the swine industry. Experiment 1 utilized 315 pigs and observed decreased growth performance when feeding 5 or 10% of corn protein sources. The second experiment utilized 355 pigs and observed that a fourth corn protein source did not influence growth performance compared to a control. Increasing this fourth corn protein source increased daily gain and feed intake, with intermediate inclusion levels having the greatest ADG and ADFI. Gain-to-feed decreased linearly with increasing this fourth corn protein. Finally, chapter 3 utilized 34,749 pigs in two experiments to evaluate a dried fermentation product administered through drinking water on nursery pig growth performance, fecal E. coli characterization, antibiotic usage, and mortality. Experiment 1 was conducted in a research setting utilizing 350 nursery pigs, where the dried fermentation product did not influence growth, antibiotic usage, fecal consistency, or E. coli presence. Experiment 2 was conducted in commercial nurseries utilizing 34,399 nursery pigs, where providing the dried fermentation product did not influence growth performance, reduced antibiotic injections, but increased nursery mortality

Clustering Spam Domains and Destination Websites: Digital Forensics with Data Mining

Spam related cyber crimes have become a serious threat to society. Current spam research mainly aims to detect spam more effectively. We believe the identification and disruption of the supporting infrastructure used by spammers is a more effective way of stopping spam than filtering. The termination of spam hosts will greatly reduce the profit a spammer can generate and thwart his ability to send more spam. This research proposes an algorithm for clustering spam domains extracted from spam emails based on the hosting IP addresses and tracing the IP addresses over a period of time. The results show that many seemingly unrelated spam campaigns are actually related if the domain names in the URLs are investigated; spammers have a sophisticated mechanism for combating URL blacklisting by registering many new domain names every day and flushing out old domains; the domains are hosted at different IP addresses across several networks, mostly in China where legislation is not as tight as in the United States; old IP addresses are replaced by new ones from time to time, but still show strong correlation among them. This paper demonstrates an effective use of data mining to relate spam emails for the purpose of identifying the supporting infrastructure used for spamming and other cyber criminal activities

Sea to Sea by Bike: Perspectives of Canada and Canadians

This narrative describes my learning and insights from a three-month plus family bicycle trip covering more than 7600 kms across Canada. It illustrates the process of experiencing and learning about community, culture and geography by traveling through it on a bike, and shares some of the personal perspectives and understandings I gained through this process. I argue that a marathon bike trip can be a very powerful interpretive and experiential process of place that facilitates a unique and valuable means of understanding diverse cultural and geographical landscapes

Continuous monitoring devices and seizure patterns by glucose, time and lateralized seizure onset.

Objectives: To investigate if glucose levels influence seizure patterns. Materials and methods: In a patient with RNS/NeuroPace implanted bi-temporally and type 1 diabetes mellitus, seizure event times and onset locations were matched to continuous tissue glucose. Results: Left focal seizure (LFS, n = 22) glucoses averaged 169 mg/dL, while right focal seizure (RFS, n = 23) glucoses averaged 131 mg/dL (p = 0.03). LFS occurred at mean time 17:02 while RFS occurred at 04:23. LFS spread to the contralateral side (n = 19) more than RFS (n = 2). Conclusion: Seizure onset laterality and spread vary with glucose and time of seizure