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Macon, GA, United States

Middle Georgia State College is a public, four-year, residential institution offering bachelor's and associate's degrees, as well as some certificates, to students on five campuses in Middle Georgia, and online everywhere. Wikipedia.

Ku C.-H.,Middle Georgia State College | Leroy G.,Claremont Graduate University
ACM International Conference Proceeding Series | Year: 2013

With an increasing number of anonymous crime tips and reports being filed and digitized, it is generally difficult for crime analysts to process and analyze crime reports efficiently. We are developing a decision support system (DSS), combining Natural Language Processing (NLP) techniques, a document similarity measure, and machine learning, i.e., a Naïve Bayes' classifier, to support crime analysis and classify which crime reports discuss the same and different crime. The DSS is developed with text mining techniques and evaluated with an active crime analyst. We report here on an experiment that includes two datasets with 40 and 60 crime reports and 16 different types of crimes for each dataset. The results show that our system achieved the highest classification accuracy (94.82%), while the crime analyst's classification accuracy (93.74%) is slightly lower. Copyright 2013 ACM. Source

Kwak M.,Middle Georgia State College | Leroy G.,Claremont Graduate University | Leroy G.,University of Arizona | Martinez J.D.,Arizona Cancer Center | Harwell J.,Claremont Graduate University
Journal of Biomedical Informatics | Year: 2013

Although biomedical information available in articles and patents is increasing exponentially, we continue to rely on the same information retrieval methods and use very few keywords to search millions of documents. We are developing a fundamentally different approach for finding much more precise and complete information with a single query using predicates instead of keywords for both query and document representation. Predicates are triples that are more complex datastructures than keywords and contain more structured information. To make optimal use of them, we developed a new predicate-based vector space model and query-document similarity function with adjusted tf-idf and boost function. Using a test bed of 107,367 PubMed abstracts, we evaluated the first essential function: retrieving information. Cancer researchers provided 20 realistic queries, for which the top 15 abstracts were retrieved using a predicate-based (new) and keyword-based (baseline) approach. Each abstract was evaluated, double-blind, by cancer researchers on a 0-5 point scale to calculate precision (0 versus higher) and relevance (0-5 score). Precision was significantly higher ( p<. .001) for the predicate-based (80%) than for the keyword-based (71%) approach. Relevance was almost doubled with the predicate-based approach-2.1 versus 1.6 without rank order adjustment ( p<. .001) and 1.34 versus 0.98 with rank order adjustment ( p<. .001) for predicate-versus keyword-based approach respectively. Predicates can support more precise searching than keywords, laying the foundation for rich and sophisticated information search. © 2013 Elsevier Inc. Source

Hughes N.M.,High Point University | Carpenter K.L.,High Point University | Cannon J.G.,Middle Georgia State College
Journal of Plant Physiology | Year: 2013

The association between plant water stress and synthesis of red, anthocyanin pigments in leaves has led some plant biologists to propose an osmotic function of leaf reddening. According to this hypothesis, anthocyanins function as a solute in osmotic adjustment (OA), contributing to depression of osmotic potential (Ψπ) and maintenance of turgor pressure during drought-stressed conditions. Here we calculate the percent contribution of anthocyanin to leaf Ψπ during OA in two angiosperm evergreen species, Galax urceolata and Gaultheria procumbens. Both species exhibit dramatic leaf reddening under high light during winter, concomitant with declines in leaf water potential and accumulation of solutes. Data previously published by the authors on osmotic potential at full turgor (Ψπ,100) of G. urceolata and G. procumbens leaves before and after leaf reddening were used to estimate OA. In vivo molar concentrations of anthocyanin, glucose, fructose, and sucrose measured from the same individuals were converted to pressure equivalents using the Ideal Gas Law, and percent contribution to OA was estimated. Estimated mean OA during winter was -0.7MPa for G. urceolata and -0.8MPa for G. procumbens. In vivo concentrations of anthocyanin (3-10mM) were estimated to account for ∼2% of OA during winter, and comprised <0.7% of Ψπ,100 in both species. Glucose, fructose, and sucrose combined accounted for roughly 50 and 80% of OA for G. urceolata and G. procumbens, respectively, and comprised ∼20% of Ψπ,100. We observed that a co-occurring, acyanic species (Vinca minor) achieved similar OA without synthesizing anthocyanin. We conclude that anthocyanins represent a measurable, albeit meager, component of OA in red-leafed evergreen species during winter. However, due to their low concentrations, metabolic costliness relative to other osmolytes, and striking red color (unnecessary for an osmotic function), it is unlikely that they are synthesized solely for an osmoprotectant role. © 2012. Source

Kwak M.,Middle Georgia State College | Leroy G.,Claremont Graduate University | Kim M.,University of California at Irvine
International Journal of Biomedical Engineering and Technology | Year: 2012

We describe a new biomedical search engine that enables visual searching and utilises predicates instead of phrases. We report on the development and evaluation of the triple parser, the most essential component of the search engine, which extracts the necessary predicates from the biomedical text. Using texts from three biomedical related sites (N = 180), we compared the parser's output with a gold standard independently created by a medical expert. The parser achieved more than 91% precision and recall. Its individual components showed different strengths with Finite State Automata being excellent for achieving high recall, while Support Vector Machines improved the precision. Copyright © 2012 Inderscience Enterprises Ltd. Source

Nord J.H.,Oklahoma State University | Paliszkiewicz J.,Warsaw University of Life Sciences | Koohang A.,Middle Georgia State College
Journal of Computer Information Systems | Year: 2014

The number of individuals engaging in social technologies for both personal and business reasons is staggering. This phenomenon is growing exponentially and fast becoming an integrated, cross platform experience which will impact every individual online. Social technologies used specifically by organizations for business support, the purposes and the benefits realized are addressed in this paper. Based on research results and a review of related literature, two issues are addressed: 1) How organizations can rethink their social strategy to gain competitive advantage; and 2) How social technologies education should be incorporated into the curriculum so students are prepared for life beyond graduation. Source

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