Applause 2012 (UAFS Applause Book 22)

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In order to test for evidence of contagion, a lagged, time-series model of stock returns is developed for each country, and a matrix of residual correlation coefficients is computed. Colton Smith is a senior finance major graduating in May One factor that contributes to this high rate of failure is the lack of cultural awareness training.

This is damaging not only to the success of the firms, but to the careers of the expatriates as well.


This paper will discuss the results of a survey to establish the correlation between the success of international assignments and cultural awareness training from Kwintessential, one of the most respected consultancy firms in the world. As part of a possible solution for reducing this high rate of failures, a training protocol for potential expatriates expecting an assignment in South Korea has been developed.

In short, evidence suggests that cultural training improves the success rate of international assignments and a training protocol is provided as a possible solution. Luis Muniz is a senior international business student. After spending several years in the job market as an entrepreneur, Luis decided to return to school to hone his skills by completing a degree in business.

Kevin Lewelling This presentation will describe and demonstrate two one hundred pound electric Mars rovers designed for remote sensing and data collection. These rovers have been built and tested over the past four years and have provided the foundation for a more ambitious project of designing and constructing a Mars rover capable of transporting one astronaut up to 20 miles per day. Stress analysis for the rocker-bogie frame will be discussed during this presentation. This new rover design will also incorporate six in-wheel, brushless motors and a steering control similar in nature to a zero-turning lawn mower.

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The motor drives used by this rover have been designed in-house and results from preliminary testing will be presented. Without unforeseen delays, the new Mars rover capable of transporting one astronaut will be operational by summer He will graduate with a Bachelor of Science in electrical engineering in May and plans to find suitable employment.

Implementing a U. Janet Renwick With an ever increasing demand and need for computer science certified employees, the U.


This presentation will bring this to light and begin looking at the challenges and prospects of implementing such a system here in the United States. This will cover challenges faced by a decentralized education system and faculty burdens. This will also cover implementation by Israel and New Zealand to give an idea of statistical and model information. It will also look at these cases and observe their successes and shortcoming and find ways to use these to our advantage and avoid the same mistakes if we are to undertake this challenge as a nation.

On top of these, we will take a look at common core, being one of the few attempts at a universal U. We will see what hampered it and how we can avoid the same mistakes. It will be concluded with suggestions on managing faculty burden and creating the proper alliances between instructional services and organizations to facilitate such a curriculum.

Born to educators Steve and Cary Rook in Lawton, Oklahoma, Taylor Rook moved to Arkansas at the age of 1, living in Little Rock for six years before he found himself in the quiet, humble mountain town of Mena. He attended Rich Mountain Community College for an associate degree in information technology. He joined the Student Government Association as public relations chair for the first year and became president the following year.

He plans to graduate in the fall of Janet Renwick This presentation examines the evolution of cyber security in response to cyber threats from recent history, how they affect each other, and the issues involved in keeping security up to date. Research into solutions to this problem are ongoing and will probably remain so since the threats of cyber-crime will evolve, more often than not faster than the solutions simply because that is the nature of the beast.

Cyber insurance on the other hand, while not preventative, does provide an alternative solution and is quickly becoming a new concept individuals and organizations will soon find familiar, whether they would like to or not. Chandler Satterfield graduated from Russellville High School in After a brief hiatus and a few life lessons, he began taking classes at UAFS in fall of After graduation Chandler aspires to attend Cyber Corp in Tulsa, Oklahoma, where he hopes to aid in the effort against cyber warfare.

His research interests include programming, cyber security, and cryptography. Some of his favorite hobbies are reading, working with computer hardware, and cycling. Janet Renwick Social media is driving technology today from how we look at, produce, and sell products. If we had the ability to identify these opinions and views from social media, we could drive our technology to new advances. Identifying and analyzing textual data involves a great deal of gathering data, interpreting that data, and providing results. If we capture textual data through Twitter to analyze, then we should be able to analyze opinions of the general population.

Sentiment Analysis takes us beyond just looking at social media, to understanding opinions on social media. By looking at how Sentiment Analysis works and the tools that we can use to implement Sentiment Analysis we can show the benefits and cons of such a product.


Jennifer Lord is a student enrolled in the information technology-database management program. She is a twin and the middle of nine children. She is mother to three children with another on the way, all while maintaining above a 3. Muhammad Khan Robots play an important role in search and rescue missions as they have the ability to navigate through hazardous terrains and reach victims that a human rescuer may have trouble reaching.

This paper presents a detailed design of an autonomous robot to perform search and rescue missions on a game field. The primary design requirement is to locate and transport two red and two yellow wooden cylinders representing causalities to their drop-off zones as quickly as possible.

The cylinder colors represent severity of victim injuries with red being severe and yellow being less severe. A major design challenge was to select a suitable microcontroller. Ultrasonic sensors were mounted on the robot to detect any obstructions in its path. A Pixy Cmucam5 camera module was used as a fast vision sensor to detect the colored cylinders and guide the robot to their locations.

A servo-controlled catcher was installed to lift and hold the cylinders during travel to the drop-off zone. Justin Moore is pursuing an Associate of Applied Science in electronics technology. Jared Dunning is pursuing an Associate of Applied Science in electronics technology. From the mobile devices that individuals carry to the sensors that monitor traffic patterns, data is being generated at an accelerated rate from a variety of sources, both visible and transparent to those who generate it.

These individual details are then aggregated and mined through resource-intensive tools to uncover hidden trends that are valuable to the various organizations who pursue data-driven decision-making. Medicine, urban planning, social networking, government, finance, retail and a variety of industries have made significant advances that would not be possible without the massive influx of data they utilize.

However, the methods by which data is stored serve as inhibitors to the massive growth in volume, velocity and variety that must be addressed in order to harness the potential of this data. The work presented here discusses the current challenges within the data field in addition to the opportunities that can be pursued through the implementation of in-memory data analytics systems. Israel Cuevas is majoring in information technology. His interests are in networking technology, open source systems, big data, and data analytics.

Brian McLaughlan One of the best use cases for artificial neural networks is their uses in bioinformatics, particularly with regard to predicting the three dimensional secondary protein structure with only the one dimensional amino acid sequence. This problem is more wellknown as the protein folding problem. This paper will seek to compare different multilayer neural networks and learning rules to protein secondary structure prediction.

It will compare multilayer neural networks of the feed forward type that have various numbers of hidden layers and will use a variety of learning rules with each one such as the Back Propagation, Dynamic Back Propagation, and Sigmoid Delta Rule. The data sets are taken randomly from the protein data bank. A multilayer neural network with one hidden layer using simple Back Propagation seems to have performed the best in both computation time and prediction accuracy.

He is set to graduate in fall of He is interested in large distributed systems and artificial intelligence, particularly artificial neural networks and genetic algorithms. Lois Yocum Most teachers agree that every student is different. They have different prior knowledge, experience backgrounds, learning preferences, socioeconomic factors, and achievement levels among other unique characteristics. This makes it quite difficult for educators who are tasked with teaching every student and motivating them all to succeed.

Some live difficult and discouraging lives while others seem to come from nearly perfect homes. Some attend class ready to learn and eager to participate while others sit in the back of the class with their heads down the entire time. What are the differences between these individuals, and how can teachers reach every student when such a disparity exists?

Monthly Archives: December 2010

The hypothesis of this research project suggests that the answer lies in building positive relationships with students. This qualitative study based on observations, surveys, interviews, and the analysis of existing research literature attempts to discover effective teaching strategies to engage students in learning in memorable ways. Shane is currently pursuing a degree in middle level education with an emphasis on language arts and social studies. He hopes to teach and attend law school in order to one day become an attorney focusing on child advocacy and family law.

His research interests include motivation theory, emotional intelligence theory, self-determination theory, socioeconomic studies, and psychological behaviorism. Shelli Henehan American military families and their children endure a wide range of consequences of which the general public is scarcely aware. This case study is intended to unearth the specific needs and resiliencies of American military families in an attempt to promote higher levels of awareness and implementation of beneficial resolutions. This research is based on voluntary responses to surveys and interview questions, as well as light observations of military children in the classroom setting per parental agreement.

Children may be questioned briefly if approved previously by parent or guardian, documented through a specific informed consent form. Gathering of this data is intended to further understanding of American military families and their needs, as well as potentially recognize resolutions and movements towards increased support.

Upon completion of this study, a deeper understanding of military families may potentially emerge in classrooms, and the general public. All data and information gathered will essentially be used for the improvement and implementation of positive changes such as movements or supportive organizations, bibliotheraphy book s for children, publication of data for expansion, etc.