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THE DRIVING FORCE BEHIND GUN CRIMES: A TIME SERIES ANALYSIS OF THE IMPACT OF GUN TYPE AND GUN DENSITY
Title
THE DRIVING FORCE BEHIND GUN CRIMES: A TIME SERIES ANALYSIS OF THE IMPACT OF GUN TYPE AND GUN DENSITY.
Creator
Graham II, Matthew, Corzine, Jay, University of Central Florida
Abstract / Description
Very few studies have explored the relationship between the availability of certain types of firearms and gun density on both gun aggravated assaults and gun homicides. Nonetheless, research by Koper (2001) discovered that the availability of more lethal types of firearms, not gun density, was directly related to an increase in gun homicide rates for Dallas. However, this study did not take into account certain social and economic variables that may strengthen or weaken the determined...
Show moreVery few studies have explored the relationship between the availability of certain types of firearms and gun density on both gun aggravated assaults and gun homicides. Nonetheless, research by Koper (2001) discovered that the availability of more lethal types of firearms, not gun density, was directly related to an increase in gun homicide rates for Dallas. However, this study did not take into account certain social and economic variables that may strengthen or weaken the determined relationship. The current study uses data previously analyzed by Koper (2001) and includes social and economic variables that have been linked to lethal violence while using gun aggravated assaults and gun homicides as the dependent variables. The results will help ascertain to what extent the impact of firearm availability on gun crimes is contingent on contextual factors.
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Date Issued
2007
Identifier
CFE0001564, ucf:47147
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0001564
CHARACTERISTICS OF THE ADULT FEMALE ENDURANCE RUNNER: A SURVEY
Title
CHARACTERISTICS OF THE ADULT FEMALE ENDURANCE RUNNER: A SURVEY.
Creator
Gabriel, Stephanie F, Rothschild, Carey, University of Central Florida
Abstract / Description
Objective: This study investigated the behaviors and characteristics of the adult female endurance runner and potential components of the female athlete triad (FAT). The FAT consists of three components that are interrelated: low energy availability, menstrual dysfunction, and low bone mineral density. Low energy availability may occur with or without disordered eating. Reproduction becomes non-essential leading to irregular menstrual cycles. A reduction in estrogen levels may contribute to...
Show moreObjective: This study investigated the behaviors and characteristics of the adult female endurance runner and potential components of the female athlete triad (FAT). The FAT consists of three components that are interrelated: low energy availability, menstrual dysfunction, and low bone mineral density. Low energy availability may occur with or without disordered eating. Reproduction becomes non-essential leading to irregular menstrual cycles. A reduction in estrogen levels may contribute to low bone mineral density which may lead to stress fractures. Research investigating the FAT has primarily focused on adolescent and young adult females. Adult females training for endurance events may also be at risk for the FAT. Method: A survey was constructed and distributed to females in a local half-marathon and marathon training group in Central Florida. The data was collected at one point in time and no additional follow-up was required. The survey aimed to identify specific behaviors and characteristics related to components of the FAT and determine the potential prevalence in a small sample of female endurance athletes aged 18 and older. Results: 72 females with a mean age of 40.92(± 9.61) years completed the survey. Subjects had an average height of 163.60(±6.41) cm, weighed an average of 62.24(±10.05) kg and had 10 years of running experience. Conclusion: Adult female endurance runners demonstrate behaviors and characteristics that may be indicative of the FAT. Participants demonstrated signs of inadvertent or intentional low energy availability. These characteristics can be due to either body dissatisfaction or wanting to increase performance.
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Date Issued
2017
Identifier
CFH2000173, ucf:45926
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFH2000173
A SUSTAINABLE AUTONOMIC ARCHITECTURE FOR ORGANICALLY RECONFIGURABLE COMPUTING SYSTEMS
Title
A SUSTAINABLE AUTONOMIC ARCHITECTURE FOR ORGANICALLY RECONFIGURABLE COMPUTING SYSTEMS.
Creator
Oreifej, Rashad, DeMara, Ronald, University of Central Florida
Abstract / Description
A Sustainable Autonomic Architecture for Organically Reconfigurable Computing System based on SRAM Field Programmable Gate Arrays (FPGAs) is proposed, modeled analytically, simulated, prototyped, and measured. Low-level organic elements are analyzed and designed to achieve novel self-monitoring, self-diagnosis, and self-repair organic properties. The prototype of a 2-D spatial gradient Sobel video edge-detection organic system use-case developed on a XC4VSX35 Xilinx Virtex-4 Video Starter Kit...
Show moreA Sustainable Autonomic Architecture for Organically Reconfigurable Computing System based on SRAM Field Programmable Gate Arrays (FPGAs) is proposed, modeled analytically, simulated, prototyped, and measured. Low-level organic elements are analyzed and designed to achieve novel self-monitoring, self-diagnosis, and self-repair organic properties. The prototype of a 2-D spatial gradient Sobel video edge-detection organic system use-case developed on a XC4VSX35 Xilinx Virtex-4 Video Starter Kit is presented. Experimental results demonstrate the applicability of the proposed architecture and provide the infrastructure to quantify the performance and overcome fault-handling limitations. Dynamic online autonomous functionality restoration after a malfunction or functionality shift due to changing requirements is achieved at a fine granularity by exploiting dynamic Partial Reconfiguration (PR) techniques. A Genetic Algorithm (GA)-based hardware/software platform for intrinsic evolvable hardware is designed and evaluated for digital circuit repair using a variety of well-accepted benchmarks. Dynamic bitstream compilation for enhanced mutation and crossover operators is achieved by directly manipulating the bitstream using a layered toolset. Experimental results on the edge-detector organic system prototype have shown complete organic online refurbishment after a hard fault. In contrast to previous toolsets requiring many milliseconds or seconds, an average of 0.47 microseconds is required to perform the genetic mutation, 4.2 microseconds to perform the single point conventional crossover, 3.1 microseconds to perform Partial Match Crossover (PMX) as well as Order Crossover (OX), 2.8 microseconds to perform Cycle Crossover (CX), and 1.1 milliseconds for one input pattern intrinsic evaluation. These represent a performance advantage of three orders of magnitude over the JBITS software framework and more than seven orders of magnitude over the Xilinx design flow. Combinatorial Group Testing (CGT) technique was combined with the conventional GA in what is called CGT-pruned GA to reduce repair time and increase system availability. Results have shown up to 37.6% convergence advantage using the pruned technique. Lastly, a quantitative stochastic sustainability model for reparable systems is formulated to evaluate the Sustainability of FPGA-based reparable systems. This model computes at design-time the resources required for refurbishment to meet mission availability and lifetime requirements in a given fault-susceptible missions. By applying this model to MCNC benchmark circuits and the Sobel Edge-Detector in a realistic space mission use-case on Xilinx Virtex-4 FPGA, we demonstrate a comprehensive model encompassing the inter-relationships between system sustainability and fault rates, utilized, and redundant hardware resources, repair policy parameters and decaying reparability.
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Date Issued
2011
Identifier
CFE0003969, ucf:48661
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003969
Firearm Lethality in Drug Market Contexts
Title
Firearm Lethality in Drug Market Contexts.
Creator
McCutcheon, James, Corzine, Harold, Jasinski, Jana, Huff-Corzine, Lin, Jarvis, John, University of Central Florida
Abstract / Description
The current study examines firearms' impact on the relationship between illegal drug markets and homicide. At the county-level, Iowa and Virginia are analyzed using crime data from the National Incident Based Reporting System. More specifically, gun availability is tested as a mediator for county drug crime rates and homicide counts. Variable selection and prediction is based on routine activity and social disorganization theories. I argue that social disorganization allows the context for...
Show moreThe current study examines firearms' impact on the relationship between illegal drug markets and homicide. At the county-level, Iowa and Virginia are analyzed using crime data from the National Incident Based Reporting System. More specifically, gun availability is tested as a mediator for county drug crime rates and homicide counts. Variable selection and prediction is based on routine activity and social disorganization theories. I argue that social disorganization allows the context for which criminal opportunity presents itself through routine activities. I posit gun availability mediates a positive relationship between illegal drug markets and homicide, with differences between urban and rural communities.
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Date Issued
2013
Identifier
CFE0004888, ucf:49658
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0004888
AN ADAPTIVE MODULAR REDUNDANCY TECHNIQUE TO SELF-REGULATE AVAILABILITY, AREA, AND ENERGY CONSUMPTION IN MISSION-CRITICAL APPLICATIONS
Title
AN ADAPTIVE MODULAR REDUNDANCY TECHNIQUE TO SELF-REGULATE AVAILABILITY, AREA, AND ENERGY CONSUMPTION IN MISSION-CRITICAL APPLICATIONS.
Creator
Al-Haddad, Rawad, DeMara, Ronald, University of Central Florida
Abstract / Description
As reconfigurable devices' capacities and the complexity of applications that use them increase, the need for self-reliance of deployed systems becomes increasingly prominent. A Sustainable Modular Adaptive Redundancy Technique (SMART) composed of a dual-layered organic system is proposed, analyzed, implemented, and experimentally evaluated. SMART relies upon a variety of self-regulating properties to control availability, energy consumption, and area used, in dynamically-changing...
Show moreAs reconfigurable devices' capacities and the complexity of applications that use them increase, the need for self-reliance of deployed systems becomes increasingly prominent. A Sustainable Modular Adaptive Redundancy Technique (SMART) composed of a dual-layered organic system is proposed, analyzed, implemented, and experimentally evaluated. SMART relies upon a variety of self-regulating properties to control availability, energy consumption, and area used, in dynamically-changing environments that require high degree of adaptation. The hardware layer is implemented on a Xilinx Virtex-4 Field Programmable Gate Array (FPGA) to provide self-repair using a novel approach called a Reconfigurable Adaptive Redundancy System (RARS). The software layer supervises the organic activities within the FPGA and extends the self-healing capabilities through application-independent, intrinsic, evolutionary repair techniques to leverage the benefits of dynamic Partial Reconfiguration (PR). A SMART prototype is evaluated using a Sobel edge detection application. This prototype is shown to provide sustainability for stressful occurrences of transient and permanent fault injection procedures while still reducing energy consumption and area requirements. An Organic Genetic Algorithm (OGA) technique is shown capable of consistently repairing hard faults while maintaining correct edge detector outputs, by exploiting spatial redundancy in the reconfigurable hardware. A Monte Carlo driven Continuous Markov Time Chains (CTMC) simulation is conducted to compare SMART's availability to industry-standard Triple Modular Technique (TMR) techniques. Based on nine use cases, parameterized with realistic fault and repair rates acquired from publically available sources, the results indicate that availability is significantly enhanced by the adoption of fast repair techniques targeting aging-related hard-faults. Under harsh environments, SMART is shown to improve system availability from 36.02% with lengthy repair techniques to 98.84% with fast ones. This value increases to "five nines" (99.9998%) under relatively more favorable conditions. Lastly, SMART is compared to twenty eight standard TMR benchmarks that are generated by the widely-accepted BL-TMR tools. Results show that in seven out of nine use cases, SMART is the recommended technique, with power savings ranging from 22% to 29%, and area savings ranging from 17% to 24%, while still maintaining the same level of availability.
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Date Issued
2011
Identifier
CFE0003993, ucf:48660
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003993