The 6th Annual

NC State University

Undergraduate Summer Research Symposium

 

 

Graduate Student (NSF AGEP Bridging) 


Abstracts are listed in alphabetical order by the last name of the corresponding author.

 

 

 

 

 


 

 

 

Student Author(s): 

Blue, Aaron W.

Qian, Hong

Home Institution:

Fayetteville State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

PAMS

Department(s):

Chemistry

Research Mentor(s)

Lin He/Chemistry

Title of Presentation:

Ativators Regenerated by Electron Transfer(ARGET) for Atom-Transfer Radical Polymerization(ATRP) in DNA hybrid Copolymer Formation

 

 

The aim of this work is to optimize DNA detection on surface initiated Atom Transfer Radical Polymerization (ATRP) using a newly discovered catalytic system based on activators regenerated by electron transfer (ARGET). ATRP is a controlled polymerization technique in which a Cu-based catalyst reacts reversibly with an initiator. As a result, radicals form to allow polymer chain growth but are rapidly deactivated in a redox reaction. The reaction requires the removal of oxygen to eliminate oxidation of the catalyst and quenching of formed radicals. In ARGET-ATRP, small amounts of Cu-based catalyst (ppm) are used with an environmentally friendly reducing agents, such as ascorbic acid and glucose, that constantly regenerate Cu(I) from Cu(II) without deoxygenating; thus enabling a continuous controlled polymerization.1 In this research, the ARGET-ATRP reaction is carried out in the presence of DNA molecules and the conditions are optimized by tuning the amount and selection of reducing agent and ligand, as well as the concentration of the catalyst to achieve maximum growth of poly (2-hydroxyethyl methacrylate) PHEMA on a surface. Expected benefits of ARGET-ATRP in DNA detection also include reduced background nonspecific adsorption from the use of smaller amounts of Cu-based catalysts and shortened assay readout time from faster polymer growth. Our results show that the use of ascorbic acid as the reducing agent yields a linear polymer growth as a function of reaction time, where as a much weaker reducing agent, glucose, did not. PHEMA growth using the Cu/Me4clam/dnNbpy system yields a faster but more controlled reaction in comparison to the Cu/PMDETA system. An optimal concentration of Cu2+ at 450ppm is identified, although reaction retardation is observed as Cu2+ decreased. Our preliminary research shows that ARGET ATRP could potentially lead to improved DNA detection.

(1) Min, K.; Gao H.; Matyjaszewski KMacromolecules 2007, 40, 1789-1791

 

 


 

 

Student Author(s): 

Caldwell, Ticola S.

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

CHASS

Department(s):

Psychology in the Public Interest

Research Mentor(s)

Pamela Martin/Psychology in the Public Interest

Title of Presentation:

The Relationship between African American Parents’ Psychological Well-Being and their Children’s Self-Esteem

 

This qualitative study seeks to examine the relationship between African American parents' psychological well-being (i.e. depression) and their adolescents' self-esteem. A study was conducted using the Center for Epidemiological Studies-Depression Scale also called the CES-D (Radloff, 1977) to investigate whether parents who endorse high levels of depression is associated with their children’s level of self-esteem. Twenty-five churches in two mid-western cities participated in the study. A regression was employed using the variables of the parents’ age, martial status, socioeconomic status, and psychological well-being (i.e. depression) to predict their children’s self-esteem. This research highlights the influences of parental age, martial status, socioeconomic status and psychological well-being (i.e. depression) as predictors of their child’s self-esteem. Implications for future research are also discussed.

 


 

 

Student Author(s): 

Cepero-Perez, Keren J.

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

Natural Resources

Department(s):

Marine Earth and Atmospheric Science

Research Mentor(s)

Stacy Nelson/Forestry

Paul Liu/Marine Earth and Atmospheric Science

Title of Presentation:

Fluvial Nitrogen Export in Four Watersheds at Puerto Rico

 

 

Anthropogenic actions are altering fluxes of nitrogen (N) in the biosphere at unprecedented rates. Efforts to study these impacts have concentrated in northern hemisphere, where experimental data are available. In tropical developing countries, however, experimental studies are lacking. This research was developed in Puerto Rico a densely populated Caribbean island that has experienced drastic landscape transformation over the last century associated with rapid socioeconomic changes. Four Puerto Rican watersheds, Río Portugués, Río Fajardo, Río La Plata and Río Cibuco were examined for total Nitrogen to the Atlantic Ocean, as well as the relationship between total N yield, land cover change, and precipitation during a 20 years minimum. This study found that the total N yield for Río Portugués is 19.3 kg ha‾¹ yr‾¹, Río Fajardo 10.34 kg ha‾¹ yr‾¹, Río La Plata is 1.79 kg ha‾¹ año ‾¹ and Río Cibuco 11.7 kg ha‾¹ año‾¹.

 

 


 

 

Student Author(s): 

Dixon, Anthony R.

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

PAMS

Department(s):

Mathematics

Research Mentor(s)

Hien T. Tran/Mathematics

Mette S. Olufsen/Mathematics

Title of Presentation:

Mathematical Modeling of Cerebral Blood Flow Dynamics

 

 

Postural change is a common noninvasive procedure used to study short-term regulation of the cardio-respiratory systems including cerebral autoregulation, autonomic and respiratory regulation. In subjects who suffer from orthostatic intolerance, postural change is not well understood, and this work aims to validate a mathematical model that can help describe this regulatory mechanism in more detail. Using a three-element windkessel model, our primary goal is to model the cerebral blood flow during a postural change. Finally, simulation results will be presented depicting how well the mathematical model fit experimental data.

 

 

 


 

 

Student Author(s): 

Franklin, Anthony M.

Home Institution:

Coastal Carolina University

Program:

Graduate Student (NSF AGEP Bridging)

College:

PAMS

Department(s):

Statistics

Research Mentor(s)

Thomas Reiland/Sports Statistics

Title of Presentation:

Poisson Regression Analysis of High School Football Prospects

 

Successful teams have elite players. In the expanding business of collegiate sports, non-winning football programs result in more than merely low school spirit. For major institutions, financial frustrations often arise from the lack of victories. Therefore, the issue of recruiting has become a desideratum. Furthermore, pertinent questions arise such as who and where do major division I college football programs want to recruit? Top football prospects are rated annually by high school recruiting agencies such as the one referenced in this project, Rivals.com. Major institutions desire to sign the most elite high school prospects to aid in maximizing their football program’s success. The focus of this project is to analyze the best geographic location, by state, from which to recruit athletically elite students in the sport of football. Although a seemingly broad generalization, statistics can be used to measure the variability of football prospects by state. Data was collected from six consecutive recruiting classes through the years 2002 – 2007, which consisted of over 14,000 high school student-athletes and represented nearly each state in the U.S., with the exception of Vermont. Extrinsic factors such as weather and state permissible practices during the spring were taken into account. A Poisson regression model is used to analyze the data. This examination results in evidence that seemingly contrasts with popular opinion. Although the most populated states, California and Texas, produce more prospects, Florida and Georgia hold the highest rates of elite prospects per 1000 athletes by a convincing margin.

 

 

 


 

 

Student Author(s): 

Frazier, Evelyn R.

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

PAMS

Department(s):

Marine, Earth, and Atmospheric Sciences

Research Mentor(s)

Yang Zhang/Marine, Earth, and Atmospheric Sciences

Title of Presentation:

Assessing Meteorological and Chemical Predictions for July 2002 in North Carolina

 

 

Air quality affects many areas of our life and environment such as human health, visibility, climate change, and vegetation growth. The three-dimensional (3-D) numerical models provide a major tool to simulate air quality at regional and global scales. Various factors can affect the model’s performance such as meteorological inputs, emissions, and physical and chemical treatments of air pollutants in the model. Thus, a better understanding of these factors is essential to the improvement of the reliability of the 3-D models for various applications such as air quality simulation and forecasting. In this work, a preliminary evaluation of a regulatory 3-D model, the U.S. EPA Models-3 Community Multiscale Air Quality (CMAQ) model, has been conducted for July 2002 with a 4-km horizontal resolution in North Carolina. The meteorological fields are provided by the Pennsylvania State University / National Center for Atmospheric Research (PSU/NCAR) mesoscale model, known as MM5 (v. 3.7). The predictions of meteorological variables (e.g., temperature, relative humidity, wind speed, wind direction, and total precipitation) and chemical species (e.g., ozone (O3), fine particulate matter (PM2.5), ammonium (NH4+), sulfate (SO42-), and nitrate (NO3-)) are compared with the observations from several networks including the Clean Air Status and Trends Network (CASTNet), the Interagency Monitoring of Protected Visual Environments (IMPROVE), the Aerometric Information Retrieval System (AIRS), the National Atmospheric Deposition Program (NADP), and the Speciation Trend Network (STN). Various approaches are used to evaluate the model performance, including temporal and spatial distributions and statistic analysis (e.g., mean observed and predicted values, correlation coefficient, and normalized mean bias and error (NMB and NME)).

 

 


 

Student Author(s): 

Harmon, Jendayi A.

Jones, Dana C.

Home Institution:

Southern A&M University

Bennett College

Program:

Graduate Student (NSF AGEP Bridging)

College:

Education

Department(s):

Mathematics, Science and Technology

Research Mentor(s)

Karen Hollebrands/Mathematics Education

Hollylynne Lee/Mathematics Education

Title of Presentation:

Pedagogical Tasks and their Relationships to Prospective Teachers' Uses of a Videocase to Examine Students’ Work when Solving Mathematical Tasks using Technology

 

 

Research that focus on teacher development and student thinking in mathematics is significant in preparing teachers to teach mathematics effectively. Findings in both teacher and student-based research suggest multimedia technology can be used to improve mathematics teaching and learning. When considering ways to mathematics teaching, student learning and thinking needs to be considered because it is important for teachers to build on students’ current understandings. The purpose of this study is to identify the ways in which prospective teachers analyze students’ mathematical thinking and determine if there is a relationship between their analyses of student thinking and the types of pedagogical tasks on which they are working. That is, are there specific questions teacher educators could pose to teachers that may encourage them to focus more deeply on the thinking of students? This study took place in a course offered in both the Fall and Spring semesters. From each of these classes, one group of students served as the focus for this study. Each group of prospective teachers was presented with the same three-hour lesson in which they were asked to view a videocase of two middle school students’ mathematical work with technology. Their work on the videocase was videotaped and transcribed. The responses from each group were then evaluated and categorized into four classifications of teachers’ examination of students’ thinking: Description, Comparison, Analysis and Restructuring. After the responses were grouped into the four classifications, the pedagogical task that elicited each response was then evaluated to look for commonalities across the tasks. These commonalities may assist teacher educators in creating pedagogical tasks for prospective teachers to generate a response within the four classifications of teachers’ examination of students’ thinking.

 


 

 

Student Author(s): 

Harris, Nyeema C.

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

Natural Resources

Department(s):

Forestry

Research Mentor(s)

Michael K. Stoskopf/Clinical Sciences

Title of Presentation:

Understanding Coyote Demography for Endangered Species Management

 

Coyotes are one of the most widely distributed and adaptive canid carnivore species in North America. They can out-compete other canids such as red wolves, hinder recruitment in ungulate species such as pronghorn antelopes, and increase mortality rates in species of concern such as kit foxes. Therefore, it is particularly important to understand the population ecology of coyotes, and the spatial variance in vital rates across landscapes where coyotes cohabit areas with species of concern. The objectives of my research project were to explore the availability of demographic data across coyote populations and determine which stage-specific vital rate has the greatest potential influence on the population growth rate (λ) in coyotes. I constructed a post-birth, female-based deterministic model using the vital rates obtained from peer-reviewed literature on coyotes in North America. I found vital rate estimates from 13 studies, occurring mostly in the west (Alberta, Canada and across seven states). Most studies only report 1-2 vital rates, when the matrix model consists of seven vital rates. Seven studies reported estimates of adult survival that ranged from 0.33-1.0. Adult survival had the greatest potential influence on λ, followed by pup survival based on elasticity values for the vital rates included in the deterministic model. Our inability to manage the impacts of coyotes on other species is, in part due to our lack of knowledge concerning the population ecology of coyotes. Managers should focus on increasing adult mortality to reduce coyote population growth and densities. In addition, my results indicate the need for more comprehensive studies that estimate multiple vital rates and corresponding variances for coyotes, especially in the eastern United States.

 

 


 

Student Author(s): 

Keene, Brandi N.

Home Institution:

North Carolina Central University

Program:

Graduate Student (NSF AGEP Bridging)

College:

Textiles

Department(s):

Textile Engineering, Chemistry, and Science

Research Mentor(s)

David Hinks/Textile Engineering, Chemistry, and Science

Russell Gorga/Textile Engineering, Chemistry, and Science

Title of Presentation:

Microscopical Analysis of Domestic Canines' Hair

 

 

The identification and comparison of animal and human hair are often essential trace evidence in the successful prosecution of crimes. While human hair can be classified by racial origin such as Mongoloid (Asian origin), Negroid (African origin), or Caucasian (European origin), animal hairs are commonly categorized by function such as guard hair (outer coat), wool or fur (inner coating), and tactile hair (sensory functions e.g. whiskers). However, no systematic study to categorized domestic canine hair has been completed. In the present research, 30 breeds of domestic dogs’ hairs were collected from different regions of the body to examine variations among samples. Each sample was photographed under a (polarized and non-polarized) light microscope in the latitude, longitude, and cross-sectional views at 10X and 40X magnifications. The data suggest that canines can be distinguished microscopically by breed. Future studies will focus on the addition of more breeds.

 

 


 

Student Author(s): 

Khan, George F.

Tong, Jin

Home Institution:

Norfolk State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

Natural Resources

Department(s):

Forestry

Research Mentor(s)

Ross Whetten/Forestry & Environmental Resources

Title of Presentation:

Investigating a Low Cost SNP Genotype Method in Pinus taeda

 

Understanding the genetic basis of population divergence and adaptation is an important aspect of forest genetic studies. Studying genetic markers have contributed greatly to the understanding of gene flow, hybridization, population structure, and genetic movement within species. In the forest tree production industry, genetic markers may be very useful for selective breeding to improve productivity and quality of trees planted for the purposes of wood production. A Single-Nucleotide Polymorphism (SNP) is a DNA sequence variation occurring when a single nucleotide differs between members of a species. These SNPs are potentially the best type of genetic marker because of their abundance in the genome and their association with genes that affect adaptive traits and susceptibility to disease. In this study we explore a low cost open source SNP genotyping protocol that use array based technology for assessing SNPs in 384 individuals. We are currently testing for the presence of the cad-n1 mutant allele in these 384 individuals in Pinus taeda, the most important tree species for production forestry in the southeastern US. We already have data on these individuals to use as a positive control to make sure the new method works and gives accurate results.

 

 

 


 

Student Author(s): 

Munilla, Samuel

Jhala, Arnay

Macik, Amanda

Rawls, Curtis

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

Engineering and Technology

Department(s):

Computer Science

Research Mentor(s)

R. Michael Young/Computer Science

Title of Presentation:

Longboard, Toward an Intelligent Storyboarding Tool

 

 

Longboard is a collection of tools used for generating movies on game engines. Users can author scripts and visualize them on the Unreal Tournament game engine. Longboard provides an intuitive Tablet PC interface for authoring scenarios and sketching storyboard frames that are communicated to a game engine controller for execution. Longboard communicates with an external planner – Darshak – for planning intermediate unspecified actions from the user generated scenario. In the Longboard system, users specify movie directives through a storyboarding interface. The Tablet PC provides a natural interface for drawing storyboard frames. Users have the freedom to sketch characters and objects through the pen using the built-in drawing functionality. This avoids having the user learn manipulation of 3D models in the interface. Pen input provides a shallow learning curve for users, interpreting both stick-figures and professionally drawn characters. The stroke recognition system also allows users to annotate the storyboard frames with text and stage directions in addition to characters and objects in the 3D world. The story and camera planners allow a user to create a partial specification for an action sequence of the movie and then add remaining actions to automatically complete full scenes. Users create a script and a set of storyboards in the Longboard user interface. The advantage of having a planner in the system is that users may not want to specify every action or camera placement in their film. Users can either accept or reject the suggested shots by the planner by specifically adding constraints on certain frames or by adding new frames to the storyboard. The user can then send the completed plan to the Renderer. The Renderer takes advantage of game engine technology to create a video of a rich 3D environment. The Longboard Renderer uses the Unreal Tournament engine to create a virtual world that has a library of sets for setting up the film environment. The Renderer's Execution Manager manipulates the actors and camera to follow the action sequence specified by the Longboard interface.

 


 

 

Student Author(s): 

Parker, Erica D.

Home Institution:

Spelman College

Program:

Graduate Student (NSF AGEP Bridging)

College:

Engineering and Technology

Department(s):

Operations Research

Research Mentor(s)

Negash Medhin/Operations Research

Title of Presentation:

An Application of Multi-Objective Optimization to Portfolio Optimization

 

Every investor is faced with the reality that there is a risk-return tradeoff when allocating their funds in stocks and securities. Because maximizing return while minimizing risk are essentially conflicting goals, we consider a multi-objective optimization problem whose solutions provide a tradeoff between these conflicting objectives. We, in addition, evaluate a special case wherein the investor prefers that a particular pair of assets not fall below a given parameter. To solve our multi-objective optimization problem, we use a differential evolution algorithm, which uses probabilistic rules to search through candidate solutions. The key features in the algorithm are recombination, mutation, and selection of candidate solutions. Using this algorithm, we obtain efficient portfolios for different rates of return.

 

 

 


 

Student Author(s): 

Ramirez, Magaly A. 

Lee, John P.

Home Institution:

University of Pennsylvania

Program:

Graduate Student (NSF AGEP Bridging)

College:

PAMS

Department(s):

Chemistry

Research Mentor(s)

T. Brent Gunnoe/Chemistry

Title of Presentation:

Ruthenium Mediated Catalytic Hydrogenation of C=X (X= C or O) Bonds

 

Catalytic hydrogenation is one of the most efficient, clean, inexpensive means of chemical synthesis. The hydrogenation of unsaturated substrates is practiced on a large scale by the chemical industry. Organometallic catalysts have been used to facilitate control over chemo-, regio- and stereoselectivity in catalytic hydrogenation reactions. We have recently synthesized the complex (IMes)2RuCl2(H)2(CO) and the cationic complex [(IMes)2RuCl(H)2(CO)][BAr4'] {IMes = 1,3-bis-(2,4,6-trimethylphenylimidazol-2-ylidene; Ar'= tetrakis-(3,5-bis-trifluoromethylphenylborate}. These systems catalyze the hydrogenation of C=X (X = O or C) bonds. It has been shown that the cationic [(IMes)2RuCl(H)2(CO)][BAr4'] complex is more active than the neutral (IMes)2RuCl2(H)2(CO) for hydrogenation of both C=C and C=O bonds. Hydrogenation occurs under relatively mild conditions and has been extended to a variety of olefins as well as ketones/aldehydes including cyclohexene, 1-hexene, styrene, acetone, and benzaldehyde. Details of these transformations as well as others will be presented.

 

 

 


 

Student Author(s): 

Sepulveda, Jennifer

Overton, Matt

Loo, LiNa

 

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

PAMS

Department(s):

Chemistry

Research Mentor(s)

Stefan Franzen/Chemistry

Richard Guenther/Plant Pathology

Title of Presentation:

Determining the Small Molecule Diffusion Rate from the Capsid of Red Clover Necrotic Mosaic Virus that had been Infused of Rhodamine Chloride

 

It has been demonstrated that the plant virus Red clover necrotic mosaic virus, RCNMV can be modified to be an efficient platform for delivering drugs to mammalian cells. While it has been found that significant quantities of small therapeutic molecules can be infused into the virus, it remains unclear as to how long a drug can remain infused within a virus. The surface of RCNMV can be opened and closed via a concentration gradient of divalent calcium and magnesium cations. Once opened, the rhodamine chloride will infuse into the virus which can then be closed in order to cage the material inside. In this research, we infuse RCNMV with the chemical rhodamine chloride and monitor the rate at which it diffuses back out. The concentration of rhodamine infused into the virus was determined using fluorescence spectroscopy. The rate of diffusion from the virus was determined as the virus was dialyzed against that which induces the virus to its open form. The purpose of our research has been to determine the rate of this diffusion of RCNMV infused with rhodamine chloride in vitro and compare it to that to the rate of release observed in cells that have been treated with rhodamine infused virus. Comparisons of these to rates will aid in understanding the mechanism of therapeutic release.

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 



 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 

Student Author(s): 

Shoge, Richard O.

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

 

Department(s):

Biomedical Engineering

Research Mentor(s)

Peter Mente/Biomedical Engineering

Title of Presentation:

Development of a Hyperelastic Model for the Material Properties of Porcine Patellar Cartilage

 

 

Understanding the mechanical causes of the degradation of cartilage can lead to the investigation of preventative measures to stop debilitating diseases such as osteoarthritis. We have developed a novel in vitro impact injury model which incorporates shear and axial loading. Stress-strain data from each zonal layer will be fit to an Ogden hyperelastic equation using a Levenberg-Marquandt nonlinear least squares method. In previous literature, hyperelastic modeling of the material properties have shown success in accounting for the large strains experienced by biological tissues. For stability when implemented into a finite element program, a constraint will be coded into the algorithm to ensure that the function is monotonically increasing.

 

 


 

 

Student Author(s): 

Smith, Krystal L.

Home Institution:

North Carolina State University

Program:

Graduate Student (NSF AGEP Bridging)

College:

CHASS

Department(s):

Psychology

Research Mentor(s)

Monica Leach/CHASS

Pamela Martin/Psychology

Title of Presentation:

The Role of Race, Media Language, and Well Being Among Hurricane Katrina Survivors

 

 

Hurricane Katrina was a devastating event for many people living in the US Gulf Coast Region. This storm had a negative impact on the surrounding states, cities, and the citizens living in these areas. More specifically, Bourque, Siegel, Kano and Wood (2006) found that many Katrina survivors experienced a negative impact on their psychological and physiological wellbeing. In addition, previous literature indicated that race played a role with the aftermath of the disaster (Adams, O’Brien, and Nelson 2006). In fact, Sommers, Apfelbaum, Dukes, Toosi, and Wang ( 2006) strongly suggested that race played a role with media perceptions and response toward survivors. Given the previous research and lack of adequate research with media perceptions, the investigator plans to explore whether or not survivors perceived race as a role in media language, while exploring the disaster’s overall psychological and physiological impact on the survivors. The qualitative research sample consisted of fifteen African American men and women from Slidell, Louisiana. The implications of this research can enhance society by making people cognizant of the racial, psychological, and physiological impact Hurricane Katrina had on its survivors.

 

 
 



 

 

 [ 2007 Undergraduate Summer Research Symposium Main Page ]
 


Policy Disclaimer

Last modified June 2007 by Sharon E. Hunt