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Fifth Annual Sigma Xi Research Day

Monday, April 7, 2003
5:00 - 7:00 p.m.
Susquehanna Room, Hadley Union Building

Sponsored by:
Sigma Xi, Indiana University of Pennsylvania Chapter
Dean, College of Natural Sciences and Mathematics, Indiana University of Pennsylvania

Poster Titles

  1. Factors of freshman retention
  2. The effect of polarity on hydrogen bond energies involving imidazole
  3. Critical current of low pressure heat-converted YBCO
  4. Phosphorylation of insulin and its effect on insulin-sensitive glucose uptake in 3T3-L1 adipocytes
  5. Real and ideal: Alcohal use and its perceived effects on personal traits
  6. Survey of movie patronage
  7. New light-emitting polymers
  8. Television consumption
  9. Provenance and transport mechanisms of terrigenous sediment delivered to Atlantic Ocean basins
  10. Determinants of domestic box office success
  11. A breath of fresh air; components of GSP and emissions levels
  12. School expenditures, student performance, and the Tiebout hypothesis: Are citizens 'voting with their feet?'
  13. Determinants of property crime rates: Sociological and economic variables
  14. An Improved Tidal Actuator for the LIGO Interferometers
  15. The relationship of hyperfemininity to problematic drinking, sexual experiences and attitudes in undergraduate women
  16. Long-term predictions of global climate using the ocean conveyor
  17. Techniques for identifying and eliminating Trojan horses
  18. New economic geography: The lessening role of geographic isolation on economic growth
  19. Modeling the geometry of AX3E and AX2E2 molecules through non-bonded repulsions
  20. Snort intrusion detection system
  21. Estimating labor force participation rates for each county in Pennsylvania using panel data
  22. Research on creating webs of trust-for encrypted email
  23. Effects of composition on the far infrared reflectivity and Raman scattering in n-type AlxGa1-xAs layers and GaAs/AlGaAs superlattices
  24. Determinants of political participation in the United States
  25. Advantages of teaching x-ray powder diffraction in science education
  26. Stock Market Data Analysis Using Rescaled Range (R/S) Analysis Method
  27. Stock Market Data Analysis with Relative Dispersion Based Hurst Exponent
  28. Internet Usage Among Indiana University of Pennsylvania Students

Alphabetical List of Authors

Justin Aion (1)
Thomas Baker (2, 19)
Jessica Clapper (9)
N. Early (3)
Abid A. Fakhri (4)
D. J. Fleming (6)
Miranda Garay (5, 15)
Kayla Griffith (6)
Jason Gruber (26)
Boonta Hetayothin (8)
TJ Isenberg (9)
Kevin Jones (7)
Pamela Kahler (19)
Jason Kelley (10)
James Kelly (6)
Floyd L. Klavetter (8)
Mileah Kay Kromer (11)
Thomas Kruise (12)
Aaron Krznaric (9)
Charles H. Lake (25)
Robert Leasure (9)
D. Lee (3)
K. Leonard (3)
F. List (3)
Matthew K. Marcus (28)
P.M. Martin (3)
Kenneth McDermott (13)
Heather Partner (14)
Haley J. Pavlikowski (28)
Chris Perry (15)
Tim Rainey (6)
Patrick C Ray (16)
Michael Rhoades (17)
Laurie Roehrich (5, 15)
Micah Savidge (18)
Ronald See (19)
Matthew Selnekovic (27)
Mohan Shan (26)
Daniel Sloppy (23)
Aaron Stanley (6)
Sarah Stroman (20)
Brian Strohecker (21)
Devki N. Talwar (23)
Wendy Trosky (9)
Russell Urban (22)
Maria A. Valero (28)
Robert L. Viégas (24)
Brian M. Wargo (25)
Michelle Wilkins (5, 15)
Stephen Wolfe (28)
J. Yoo (4)

Abstracts

1. Factors of freshman retention

Author: Justin Aion <ntjj@iup.edu>
Economics Department, Indiana University of Pennsylvania

This paper is a study into retention factors of first year students at various universities. Schools in the sample include both public, and private universities and colleges from all over the country. It looks at many characteristics of incoming freshman classes. Ordinary least squares was used in this analysis. Results indicate that retention was highly positively correlated with the log of the entering cohort. Retention is also positively correlated with the percentage of freshman who are 24 years old or older as well as the average SAT score of the incoming class. The percentage of freshman who received less that 2.0 for their first term negatively affected the retention rate. The results also indicate that tuition upon first year of admissions is also an important factor.

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2. The effect of polarity on hydrogen bond energies involving imidazole

Author: Thomas Baker <hyfk@iup.edu>
Chemistry Department, Indiana University of Pennsylvania

The effects of a polar medium on the energies of hydrogen bonds involving imidazole were investigated by molecular orbital calculations at the B3LYP/6-31G* level. A hydrogen bond from imidazole to Fe-bound O2 may be an important factor in the stabilization of )2, relative to CO, in the active site of myoglobin. The gas-phase hydrogen bond energy on the complex im…Fe(por)(im)(L) was calculated to be 37 kJ/mol when L = O2, and about 18 kJ/mol when L = CO or NO; this difference in gas-phase hydrogen bond stabilization energy (~19 kJ/mol) is too large for the observed effect of the protein on ligand binding. However, gas-phase calculations may not be entirely realistic for the active site of a protein. SCI-PCM is a technique that allows the orbital calculation. Unfortunately, SCI-PCM did not work for metals, so H2O, (NH2)O and SO were used in place of the Fe-bound O2. It was found that, with all three acceptors, the hydrogen bond energy decreased with increasing polarity of the calculation. The implications of these results for ligand stabilization in myoglobin will also be discussed.

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3. Critical current of low pressure heat-converted YBCO

Authors: N. Early1 <xkmh@iup.edu>, P.M. Martin2, D. Lee2, F. List2, J. Yoo3, K Leonard3
Physics Department, Indiana University of Pennsylvania1,
ORNL M&C2, ORISE3

Characterizations of critical current density (Jc) dependence on the thickness of the compound superconductor Yttrium Barium Copper Oxide are investigated. In 1996, ORNL premiered Rolling Assisted Biaxially Textured Substrates (RABiTS ), a technique for the growth of chemically and physically compatible substrate and buffer layers. YBCO precursor is deposited reel-to-reel by electron beam co-evaporation and heat converted to form crystal YBa2Cu3O7-x. Thicker deposition layers are found to be correlated with higher current Ic but unfortunately lower Jc. Selected thicknesses (0.3 mm-3.0 mm) of YBCO were grown and then analyzed with q-2q XRD for the presence and intensity of randomly oriented grain defects. 77oK transport critical current was measured along the length of the tape at ½ cm intervals under selected magnetic field intensities. Critical currents in excess of 100 amps were reported.

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4. Phosphorylation of insulin and its effect on insulin-sensitive glucose uptake in 3T3-L1 adipocytes

Author: Abid A. Fakhri <abidfakhri@hotmail.com>
Biology Department, Indiana University of Pennsylvania

Since its discovery by F.G. Banting and C.H. Best in 1929, insulin has been used worldwide in the treatment of diabetes mellitus. Unfortunately, a common side effect of this treatment is low levels of blood glucose, a condition known as hypoglycemia. Previous studies have demonstrated that the phosphorylation of hydroxyl groups on tyrosine, serine, and threonine residues in the insulin polypeptide can prevent hypoglycemia. Exactly how these extra phosphate groups affect glucose uptake has not yet been demonstrated. This study was intended to investigate the possibility that phosphorylation inactivates the insulin molecule, and that a glucose-sensitive phosphatase on the surface of target cells activates the insulin by cleaving the phosphate group(s). In order to test for a glucose-sensitive phosphatase, 3T3-L1 adipocytes were exposed to paranitrophenylphosphate (PNPP) in the presence of low and high concentrations of D-glucose; absorbance of samples at 410nm would indicate phosphatase activity. To study its effects on glucose uptake, phosphorylated insulin was synthesized by the addition of small quantities of POCl3 under cold, aqueous conditions. The extent of phosphorylation was assed by electrophoresis. The ability of phosphorylated insulin to stimulate glucose uptake in 3T3-L1 adipocytes was compared to normal insulin at both low and high glucose concentrations; in these experiments, glucose uptake was monitored using 2-deoxy-[3H]-glucose. Based on the predicted mechanism, we expected to see insulin stimulation of uptake at high, but not low glucose concentrations for phosphorylated insulin but at both low and high glucose concentrations for regular insulin. Indeed, observation of this predicted activity pattern in certain cases provided supportive evidence for a glucose-dependant phosphatase associated with the insulin receptor; however, the lack of a consistent response to insulin in cell cultures suggests that a further understanding of the system is necessary before making conclusions.

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5. Real and ideal: Alcohal use and its perceived effects on personal traits

Authors: Miranda Garay <vnzh@iup.edu>, Michelle Wilkins <rtzh@iup.edu>, and Dr. Laurie Roehrich <roehrich@iup.edu>
Psychology Department, Indiana University of Pennsylvania

Hypotheses that individuals with discrepancies between real and ideal self-ratings on characteristics of high importance would reflect what an individual expects to achieve when consuming alcohol, and that those with high discrepancies would drink more, were studied. Alcohol expectancies were measured with the Alcohol Expectancy Questionnaire, and drinking levels by the QFVI and AUDIT. There was a significant correlation between alcohol expectancies and drinking levels; no significant correlation was found between drinking levels and trait discrepancies.

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6. Survey of movie patronage

Authors: Kayla Griffith <mhmj@iup.edu>, Aaron Stanley <qdmj@iup.edu>, D. J. Fleming <dkhh@iup.edu>, Tim Rainey, and James Kelly <mlsh@iup.edu>
Economics Department, Indiana University of Pennsylvania

The purpose of this research is to study student's movie habits. We surveyed two different Priniciple of Economics classes in order to gather data with four main research questions in mind. The four questions that we were seeking to answer were: How does the amount of a student's free time affect his/her movie viewing habits? How do students' movie habits change depending on the time of year? How does a student's income affect his/her movie habits? How are students' movie viewing patterns related to demographic characteristics? With these questions asked in various ways through our survey we hope to enlighten people about movie patronage on the IUP campus.

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7. Provenance and transport mechanisms of terrigenous sediment delivered to Atlantic Ocean basins

Author: Kevin Jones <jqgh@iup.edu>
Advisor: Steve Hovan <hovan@iup.edu>
Geoscience Department, Indiana University of Pennsylvania

We have identified that samples downwind from the Sahara-Sahel region become better sorted with increased distance west of the North African shoreline. Despite obvious changes in physical characteristics of sediment there is no statistically significant change in geochemical composition. Samples from the South Atlantic display a complex mosaic of varying physical and geochemical characteristics. Scientists have assumed the mode of sediment transport by making inferences about sediment grain size fractions or, based on observations of the modern world. However, few scientists have succeeded in objectively identifying mode of transport using data inherent to the sediment. We examined all, or a subset of 84 samples for grain size distributions, major/minor element geochemical compositions and radiogenic isotope ratios in an attempt to elucidate mode of transport. Grain size data shows a steady decrease in the standard deviation of grain size with distance from the shoreline of North Africa for samples located within the core of the modern trade winds. Strontium radiogenic isotope ratios for these samples remain between the values of 0.721 and 0.726, which are consistent with accepted values for the North African craton (0.714-0.739). Comparison to Pacific eolian studies suggests that the increased sorting with distance represents an enhanced eolian dominance. Invariable geochemical data for samples downwind from this region suggests that both eolian and hemipelagic material have geochemically similar sources.

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8. New light-emitting polymers

Authors: Boonta Hetayothin <bhetayo@hotmail.com>, and Floyd L. Klavetter <flklav@iup.edu>
Chemistry Department, Indiana University of Pennsylvania

By using a mixture various derivatives of the fragrant vanilla molecule ("vanillin"), electrically-conductive polymers are synthesized utilizing a Wittig condensation reaction. When these polymers are exposed to current, they glow brilliantly in a normal well-lit room. Potential uses for these materials include flat-panel displays and wrap-around flexible light sources. Synthetic methodology of these polymers is described, and structural characterization is also provided.

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9. Television consumption

Authors: TJ Isenberg <vllj@iup.edu>, Jessica Clapper <yzyh@iup.edu>, Wendy Trosky <mbrj@iup.edu>, Aaron Krznaric <cdfk@iup.edu>, and Robert Leasure <zybj@iup.edu>
Economics Department, Indiana University of Pennsylvania

The purpose of this research is to study students' perceptions about the use of television. There are three main research questions we seek to answer with this project: 1. How television usage among students relates to demographic characteristics. 2. How television usage among students relates to usage of other forms of media. 3.How television usage among students relates to VCR and DVD hardware.

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10. Determinants of domestic box office success

Author: Jason Kelley <skylookspretty@hotmail.com>
Economics Department, Indiana University of Pennsylvania

This paper is a study of the motion picture industry and individual film gross. Using the top 100 films from the years 1997-2001 as a sample, final domestic film gross was tested for responsiveness to numerous independent variables: total budget, various Consumer Price Index (CPI) levels (gasoline, movie tickets, video/DVD rentals, television sets, cable television), peak number of screens the film was shown on during its initial run in theatres, release date, aggregate critic rating, and various award nominations. The release date dummy variable showed whether the film release took advantage of any major vacations, including those found in and around summer, Thanksgiving, and Christmas. Ordinary Least Squares was used in regression. Results showed high positive significance in the release date and total screens variables. The budget variable, hypothesized to be very significant, was found to be otherwise. The various CPI levels have thus far proved inconclusive.

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11. A breath of fresh air; components of GSP and emissions levels

Author: Mileah Kay Kromer <dgdh@iup.edu>
Economics Department, Indiana University of Pennsylvania

In this study the relationship between emissions levels and specific components of Gross State Product is examined. The independent variables are components of GSP, namely, total farm production, total transportation and utility production, total lumber and woods production, and state population. No evidence is found that emissions levels rise with the increase of certain pollution-specific areas of economic growth. Rather, that with the increase in certain areas of GSP, there is an increase in the number of days that emissions levels were considered "Good" on the Pollution Standards Index scale. The data collected is a panel of all 50 states from the years 1997-2000.

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12. School expenditures, student performance, and the Tiebout hypothesis: Are citizens 'voting with their feet?'

Author: Thomas Kruise <mqvh@iup.edu>
Economics Department, Indiana University of Pennsylvania

This study will use the theory behind the Tiebout Hypothesis to discuss the quality of schools in the Commonwealth of Pennsylvania. The data used will be from the 2000-2001 school year gathered by the Pennsylvania Department of Education, along with other government organizations. Economic variables used include unemployment rate, crime rate, and county population figures. The report is to give support to the hypothesis that schools in suburban area that are populated with middle and upper class citizens will yield better outputs because of higher funding.

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13. Determinants of property crime rates: Sociological and economic variables

Author: Kenneth McDermott <xjkj@iup.edu>
Economics Department, Indiana University of Pennsylvania

This paper estimates the relationship between the rate of property crime in the United States and various economic and social factors at that time. Unemployment, percentage change in the CPI, minimum wage, unemployment, and change in the Gross Domestic Product are the basis for the economic determinants. Sociological contributors are college enrollment, divorce rate, high school graduation rate, teen births, military enlistment, and alcohol consumption. The data is annual time-series beginning in 1960 and ending in 1998 for the United States. Initial analysis of the data using the Ordinary Least Squares model reveals that the state of the economy and society do have an effect on property crime. Property crime is negatively related to economic indicators and alternatives to employment and positively related to the selected social problems.

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14. An Improved Tidal Actuator for the LIGO Interferometers

Author: Heather Partner <swzh@iup.edu>
Physics Department, Indiana University of Pennsylvania

The Laser Interferometer Gravitational-Wave Observatory (LIGO) in Hanford, WA attempts to detect theorized gravitational radiation from space, and has extreme sensitivity requirements. The Earth-tides due to the moon affect the instrument by changing the lengths of the 4K-long arms of the interferometer by hundreds of microns. We correct for this by continually adjusting the frequency of the laser to cancel the effect. My work involved the assembly and characterization of an improvement to the apparatus, which changes the laser frequency by heating and cooling the reference cavity that determines frequency, and relying on thermal expansion to change its length (and thus the wavelength).

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15. The relationship of hyperfemininity to problematic drinking, sexual experiences and attitudes in undergraduate women

Authors: Chris Perry, Michelle Wilkins <rtzh@iup.edu>, Miranda Garay <vnzh@iup.edu>, and Dr. Laurie Roehrich <roehrich@iup.edu>
Psychology Department, Indiana University of Pennsylvania

This paper estimates the relationship between the rate of property crime in the United States and various economic and social factors at that time. Unemployment, percentage change in the CPI, minimum wage, unemployment, and change in the Gross Domestic Product are the basis for the economic determinants. Sociological contributors are college enrollment, divorce rate, high school graduation rate, teen births, military enlistment, and alcohol consumption. The data is annual time-series beginning in 1960 and ending in 1998 for the United States. Initial analysis of the data using the Ordinary Least Squares model reveals that the state of the economy and society do have an effect on property crime. Property crime is negatively related to economic indicators and alternatives to employment and positively related to the selected social problems.

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16. Long-term predictions of global climate using the ocean conveyor

Author: Patrick C Ray <mzkh@iup.edu>
Physics Department, Indiana University of Pennsylvania

Many have attributed the Great Ocean Conveyor as a major driver of global climate change over millennia as well as a possible explanation for shorter (multidecadal) oscillations. The conveyor is thought to have a cycle time on the order of 1000 years, however recent research has suggested that it is much faster than previously believed (about 100 years). A faster conveyor leads to the possibility of the conveyor's role in even shorter oscillations such as the El Nino/Southern Oscillation (ENSO) and the North Atlantic Oscillation (NAO). The conveyor is primarily density driven. In this study the salty outflow of the Red Sea is used to predict its behavior ten years into the future. A successful model could lead to a long-term prediction (ten years) of El Ninos, Atlantic hurricane season intensity, as well as global temperature and precipitation patterns.

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17. Techniques for identifying and eliminating Trojan horses

Author: Michael Rhoades <yvqj@iup.edu>
Advisor: Mary Micco <micco@iup.edu>
Computer Science Department, Indiana University of Pennsylvania

Trojan horses can be installed on a computer through an email attachment intended to be opened by the victim. They are typically disguised as an appealing message or piece of software. As the user enjoys the attachment, infection occurs simultaneously and silently. If a remote control Trojan is installed and initialized on a system, that computer is now completely open to anyone who knows to connect to it using the Trojan horse as a server. Because the Trojan is under the control of the hacker, he can change the port it uses, the Key it hides under and many other characteristics, making them extremely hard to eliminate once they have implanted themselves. Our research has focused on first locating then disassembling the code used to run these programs. As part of this process, we have learned a great deal about how they work and the next step of our research will focus on developing software that can effectively protect users from these rogue programs.

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18. New economic geography: The lessening role of geographic isolation on economic growth

Author: Micah Savidge <bqwh@iup.edu>
Economics Department, Indiana University of Pennsylvania

The focus of this paper is the impact of being land-locked on a nation's GDP, and how through the 1990's the impact has decreased by the emergence of a larger service sector. Independent variables such as economic aid as percentage of GDP, the percentage of the labor force in the service economy, the fertility rate, the percentage of the population in urban areas, and a dummy variable for being a coastal nation. The coastal dummy variable will help to determine how much, if any, a nation's GDP is affected by the lack of access to international waters and almost negligible transportation costs. Data was collected through the World Bank's "World Development Report".

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19. Modeling the geometry of AX3E and AX2E2 molecules through non-bonded repulsions

Authors: Dr. Ronald See <rfsee@iup.edu>, Thomas Baker <hyfk@iup.edu>, and Pamela Kahler
Chemistry Department, Indiana University of Pennsylvania

The geometries of the AX3E and AX2E2 molecules vary spectacularly, with the bond (X-A-X) angle ranging from 91º to 180º. This variation has been explained using many models (directed valence, VSEPR, perturbation theory, second-order Jahn-Teller effect, and more), but never satisfactorily or without exceptions. The ligand close-packing (LCP) model suggests that molecular geometries are primarily a result of repulsive interactions between the terminal atoms or groups. In the case of the AX3E and AX2E2 molecules, there are two sets of repulsive interactions: the repulsion between two terminal X atoms or groups; and the repulsion between an X atom (or group) and the stereochemical nonbonding electrons (lone pairs) on the central atom A. We have quantified these repulsions using a simple, linear distance-interaction relationship for both sets of forces. For molecules with A = N, P, As, O, S or Se and X = H, F, Cl, Br, I, CH3, CF3, SiH3 or t-butyl, a single linear regression describes all computational and empirically-observed structures to a high degree (R2 = 0.99) of accuracy. This strong correlation, with no significant exceptions, is convincing evidence that the LCP model correctly models the physical forces that primarily determine molecular geometry.

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20. Snort intrusion detection system

Author: Sarah Stroman <bqpj@iup.edu>
Advisor: Mary Micco <micco@iup.edu>
Computer Science Department, Indiana University of Pennsylvania

This is an expert system developed as an engine that can look for the signatures of known viruses, worms and other wild life on the internet. The engine is designed in such a way that you can pass it the signature of a known virus and it can immediately update the rules to detect this signature as well. One weakness of this system is that it depends on the virus or worm using a consistent signature that consists of certain phrases, the use of specific ports and a consistent pattern of behavior, such as the order of the steps it goes through to install itself on the victim's system. Since attackers are well aware of this, they have taken pains to randomize the ports used, the phrases, the names of the executables and the steps they goes through. Our hypothesis is that regardless of randomization, all viruses exhibit certain abnormal patterns that are identifiable. We are currently disassembling the Snort engine and hope shortly to begin testing to see if the exploits we have obtained do in fact demonstrate repetitive behaviors.

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21. Estimating labor force participation rates for each county in Pennsylvania using panel data

Author: Brian Strohecker <bds3399@hotmail.com>
Economics Department, Indiana University of Pennsylvania

This paper takes into consideration a few variables related to the Labor Force Participation Rate, the dependent variable, including the unemployment rate, average yearly wages, yearly income, yearly population, work injuries including fatal and nonfatal, the fertility rate, political party, and the number of children in elementary school. The panel data included is annual data collected from 1990-2000 for each of the 67 counties in Pennsylvania. Expected results of the unemployment rate, work injuries, and the fertility rate are to be negatively related to the dependent variable, while income, population, and averages wages are expected to show positive relationships to the dependent variable.

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22. Research on creating webs of trust-for encrypted email

Author: Russell Urban <ykwk@iup.edu>
Advisor: Mary Micco <micco@iup.edu>
Computer Science Department, Indiana University of Pennsylvania

The problem being worked on is developing effective techniques for encouraging people to develop webs of trust with whom they can share encrypted email. This is seen as a major problem in our field. We know how to protect the privacy of email, but people are just resisting moving towards using encryption. Our hypothesis is that we can promote more frequent and more effective use of encryption through holding key exchange parties, where individuals in the group get together for a social time and exchange keys and fingerprints at that time. In our research design we plan to have three classes of similar students enrolled in beginning programming classes. One class, the control group will just be asked to use encrypted email by the professor with a very brief introduction. The second group will be provided a lecture and hands on lab in the use of encryption, The third group will be invited to a key party with a hands on component under the direction of the professor. Food and fun will be involved. Students will be surveyed before the treatment and again when the semester is over. During the semester we will track the frequency and use of encryption among the students and the professor. Our goal is not only to see if the key parties encourage a more positive attitude toward the use of encryption but if that behavior persists once it is initiated with a web of trust.

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23. Effects of composition on the far infrared reflectivity and Raman scattering in n-type AlxGa1-xAs layers and GaAs/AlGaAs superlattices

Authors: Devki Talwar <talwar@iup.edu> and Daniel Sloppy <pxfk@iup.edu>
Physics Department, Indiana University of Pennsylvania

Many optoelectronic devices, such as semiconductor laser diodes, detectors, modulators and non-linear optical devices are based on multilayered structure composed of various thin homo- or hetero-layers of different thicknesses and doping levels. The characterization of electrical and structural parameters, such as layer thickness, alloy composition of these complex structures has been and still is a challenge for both experimentalists and theorists. Optical techniques including Raman scattering and far-infrared spectroscopy are versatile for examining the semiconductor alloys, multiple-quantum wells and superlattices (SLs). In this work, we present a comprehensive study to understand the effects of composition observed in the far-infrared reflectivity (FIR) and Raman scattering of the coupled plasmon-phonon modes in n-type AlxGa1-xAs layers and GaAs/AlGaAs SLs as a function of carrier concentration. The far infrared reflectance spectra reported from 100 - 450 cm-1 in GaAs/AlxGa1-xAs SLs with different period, thickness and composition have demonstrated the confinement of optical phonons in both GaAs and AlGaAs layers. A significant influence on the FIR spectra of the buffer layer has been observed in the transparency region between the two 'restrahlen' bands of GaAs and AlGaAs. The superlattice modes caused by the coupling between LO phonons and the collective intersubband excitations are also seen in doped SLs. In the Raman spectra of n-doped AlxGa1-xAs layers and GaAs/AlGaAs SLs, three branches of the coupled modes are found whose frequencies and damping depended upon the carrier concentration and the alloy composition. The coupling of LO phonons with plasmons caused blue shift in the Raman lines and dramatically changed its line shapes - the asymmetry of Raman lines was found opposite to that of the LO phonons. A simple analysis of the IR reflectivity and Raman data with an iterative method, performed in the effective medium approximation modified to include the effects of composition and the anisotropic plasma response in the wells, has allowed us a very accurate determination of the structural parameters not only of the superlattice (viz.,carrier concentration, individual layer thickness, disorder activated polar phonons, total SL thickness) but also of the buffer layer.

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24. Determinants of political participation in the United States

Author: Robert L. Viégas <qcbj@iup.edu>
Economics Department, Indiana University of Pennsylvania

This paper examines political participation using demographic, social, and economic indicators. The sample consists of cross-sectional data from the 2000 national elections across the 50 States and the District of Columbia. The dependent variable is voter turnout as a percentage of the voting age population. Semilog Ordinary Least Squares analysis of the sample suggests that the dependent variable is positively affected by social indicators, such as education and race, while demographic and economic variables show little bearing on political participation.

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25. Advantages of teaching x-ray powder diffraction in science education

Authors: Brian M. Wargo1 and Charles H. Lake2
Physics Department, Freedom Area High School1, Chemistry Department, Indiana University of Pennsylvania2

Crystallography is relevant to all disciplines of the natural sciences. Unfortunately the relationship is lost in most undergraduate programs. Even though textbooks often devote a section to x-ray diffraction, it is usually skipped by most instructors because they perceive it as overwhelmingly difficult, time consuming, and mathematically challenging. We feel that this perception is erroneous.

This ongoing project is designed to allow non-crystallographers to appreciate the power of XRD and convince them to incorporate XRD into existing laboratory courses (if the equipment is available). These exercises primarily target physics, geology, chemistry and material science undergraduate programs. Students seeking jobs in the solid state and pharmaceutical industries have a high probability of encountering powder XRD instrumentation and therefore will benefit from the experiences gained in these laboratory exercises.

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26. Advantages of teaching x-ray powder diffraction in science education

Authors: Jason Gruber and Mohan Shan
I: Soundararajan Ezekiel
Computer ScienceDepartment, Indiana University of Pennsylvania2

Methods for accessing the fractal characteristics are useful for non-stationary signals such as stock market data. These signals which vary apparently irregularly have been considered to be driven by external parameters. Standard Methods such as Fourier analysis assume that the signals are stationary in temporal windows. Such an assumption is inappropriate for stock market data because it changes constantly. Fractal based methods such as relative dispersional methods and rescaled range analysis methods do not impose this assumption and therefore are better suited for this analysis. In this paper, we use rescaled range analysis to analyze stock market data which gives statistical insight.

In 1951, Hurst defined a method to study natural phenomena such as the flow of the Nile River. This method was based on the statistical assessment of many observations of the natural phenomena. After studying 800 years of records, Hurst observed that the flow of the Nile River was not random it was patterned. He defined a constant, K, which measures the bias of the fractional Brownian motion. In 1968 Mandelbrot defined this pattern as fractal. There are many algorithms to calculate fractal characteristics such as fractal dimensions, which is a number that quantitatively describes how an object fills its space. He renamed the constant K to H in honor of Hurst. The fractal dimension, D, can be derived from the Hurst exponent, H, by the relation D = 2 - H. The Hurst exponent gives a measure of the smoothness of a fractal object where H varies between 0 and 1. A low H value indicates a high level of roughness. This means the signal almost fills the next higher dimension. A high value of H indicates a high level of smoothness. This means the signal fills very little of the next higher dimension. We use H and D to analyze our stock market data because it has a broad applicability to signal processing because of its robustness. These parameters can be calculated by the rescaled range analysis method and it is useful to distinguish between random and nonrandom data points. If H equals 0.5, then the data is determined to be random. If the H value varies between 0 and 0.5, it represents anti-persistence. This means, if the signal is up/down in the last period then more likely it will go down/up in the next period. If the H value varies between 0.5 and 1, this represents persistence; in this case, if the signal is up/down in the last period, then it is more likely that in the next period the signal will continue going up/down. To illustrate our proposed method we applied it to 48 sets of daily closing prices of various stocks listed from the New York Stock Exchange and the NASDAQ from January 25, 1988 to January 24, 2003. We then calculated the H value for each data set and found that the maximum H value is 0.5928 and the minimum value is 0.4257. Further we observed that all these values are differing from 0.5, which shows that the stock market is clearly fractal. We can also measure how jagged the signal is by using the parameter H. Low H values represent higher noise, and more random-like, or volatile data, thus representing a higher risk. A higher H value, on the other hand, indicates lower noise levels and less randomness, representing a lower risk. In our observation, GD had the highest H value, while XOM had the lowest H value. Therefore we would conclude GD less risky than XOM. However, further experimental analysis needs to be carried out with different data sources, including international markets, bonds and mutual funds, commodities, and currency exchanges.

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27. Stock Market Data Analysis with Relative Dispersion Based Hurst Exponent

Author: Matthew Selnekovic
Advisor: Soundararajan Ezekiel
Computer Science Department, Indiana University of Pennsylvania

Fractal based methods is a new and promising approach for the analysis of non-stationary signals, such as stock market data. Traditional Fourier analysis methods assume that the signals are stationary in temporal windows. Such an assumption is inappropriate for stock market data because it changes constantly. Fractal based methods do not impose this assumption and therefore are better suited for this analysis. In this paper, we present a fractal dimension based method to analyze stock market data. We use the Hurst exponent to calculate fractal dimensions and to present experimental results demonstrating their effectiveness. The results suggest that fractal based techniques can provide useful information that is not available from traditional methods. The basic idea is to calculate the Hurst exponent for a stock market data by using relative dispersional analysis. The Hurst exponent, H, has a broad applicability to signal processing because of its robustness. It has a few underlying assumptions about the signal and it can distinguish between random and nonrandom signals. If H equals 0.5, then the signal is random. Further, we can measure the level of noise from H; that is, how much lower H is from 0.5. There are three different cases of H: i) 0<H<0.5 ii) H=0.5 iii) 0.5<H<1. Case one represents anti-persistence. This means, if a signal is up in the last period then more likely it will go down in the next period. Case two represents randomness that implies the values are uncorrelated. Case three represents persistence; in this case, if the signal is up in the last period, then it is more likely that in the next period the signal will continue going up. The fractal dimension is then derived from the relation 2 - H. To illustrate our proposed method we applied it to 49 sets of daily closing prices of various stocks listed from the New York Stock Exchange and the NASDAQ from January 25, 1988 to January 24, 2003. We then calculated the H value for each data set. Since the H values are differing from 0.5, it shows that the stock market is clearly fractal. Further, H also measures how jagged the signal is. Low H values represent higher noise, and more random-like, or volatile data, thus representing a higher risk. A higher H value, on the other hand, indicates lower noise levels and less randomness, representing a lower risk. In our observation, AMD had an H value of 0.5413, while 3M had an H value of 0.3817. We there for would conclude AMD less risky than 3M. However, further experimental analysis needs to be carried out with different data sources, including international markets, bonds and mutual funds, commodities, and currency exchanges.

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28. A Internet Usage Among Indiana University of Pennsylvania Students

Authors: Matthew K. Marcus, Haley J. Pavlikowski, Maria A. Valero, Stephen Wolfe
Economics Department, Indiana University of Pennsylvania

In today's society, the Internet has become a key component to daily life. Its uses are widely varied from communication to entertainment. Due to its multiple facets, it has become a reliable tool in business, industry, home usage and education. The realms of higher education have especially sought to utilize this device's fullest potential. In order to do this, however, the patterns of a college student's typical Internet usage must be charted. This research, in accordance with the Economics Department, seeks to achieve this goal by identifying common trends in Internet usage among college students at Indiana University of Pennsylvania (IUP). As a narrower focus, this investigation looks to determine the most common computer access for available for IUP students, how much time they spend on the internet per week, their main purpose for Internet usage and how these ideas correlate across the demographics of IUP.

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Last modified on Monday, 07-Apr-2003 19:54:21 EDT