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College Park, GA, United States

Dalton State College, also referred to as DSC or Dalton State, is one of 31 colleges and universities in the University System of Georgia. Dalton State is accredited by the Southern Association of Colleges and Schools . The college is located in Dalton, Georgia, USA. Wikipedia.


Villanueva O.,Emory University | Villanueva O.,Dalton State College | Weldy N.M.,Emory University | Blakey S.B.,Emory University | MacBeth C.E.,Emory University
Chemical Science | Year: 2015

A dinuclear Co(ii) complex supported by a modular, tunable redox-active ligand system is capable of selective C-H amination to form indolines from aryl azides in good yields at low (1 mol%) catalyst loading. The reaction is tolerant of medicinally relevant heterocycles, such as pyridine and indole, and can be used to form 5-, 6-, and 7-membered rings. The synthetic versatility obtained using low loadings of an earth abundant transition metal complex represents a significant advance in catalytic C-H amination technology. © 2015 The Royal Society of Chemistry. Source


McClatchey I.,Kennesaw State University | Wimmer J.,Dalton State College
Omega (United States) | Year: 2012

This qualitative study is the follow-up to a quantitative controlled study which showed a decrease in childhood traumatic grief and posttraumatic stress disorder symptoms in parentally bereaved children participating in a bereavement camp. The purpose of this study was to identify the healing components of this camp model. Semi-structured interviews with 19 children and 13 parents/guardians were conducted 3 to 9 months after participation in the bereavement camp. Therapeutic Interventions and Traditional Camp Activities emerged as themes. The themes are discussed in relation to previous research as are limitations of the study and the implications for theory, practice, and future research. © 2012, Baywood Publishing Co., Inc. Source


Braun R.J.,University of Delaware | Braun R.J.,University of Minnesota | King-Smith P.E.,Ohio State University | Begley C.G.,Indiana University | And 4 more authors.
Progress in Retinal and Eye Research | Year: 2015

Great strides have recently been made in quantitative measurements of tear film thickness and thinning, mathematical modeling thereof and linking these to sensory perception. This paper summarizes recent progress in these areas and reports on new results. The complete blink cycle is used as a framework that attempts to unify the results that are currently available. Understanding of tear film dynamics is aided by combining information from different imaging methods, including fluorescence, retroillumination and a new high-speed stroboscopic imaging system developed for studying the tear film during the blink cycle. During the downstroke of the blink, lipid is compressed as a thick layer just under the upper lid which is often released as a narrow thick band of lipid at the beginning of the upstroke. "Rippling" of the tear film/air interface due to motion of the tear film over the corneal surface, somewhat like the flow of water in a shallow stream over a rocky streambed, was observed during lid motion and treated theoretically here. New mathematical predictions of tear film osmolarity over the exposed ocular surface and in tear breakup are presented; the latter is closely linked to new invivo observations. Models include the effects of evaporation, osmotic flow through the cornea and conjunctiva, quenching of fluorescence, tangential flow of aqueous tears and diffusion of tear solutes and fluorescein. These and other combinations of experiment and theory increase our understanding of the fluid dynamics of the tear film and its potential impact on the ocular surface. © 2014 Elsevier Ltd. Source


Reed J.M.,Tufts University | Desrochers D.W.,Dalton State College | Vanderwerf E.A.,Pacific Rim Conservation | Scott J.M.,The College of Idaho
BioScience | Year: 2012

One-third of the bird species listed under the US Endangered Species Act are endemic to Hawaii. One requirement of delisting a species is the elimination or abatement of threats to that species. More than 95% of Hawaii's threatened and endangered species face multiple threats that cannot be eliminated (e.g., alien mammalian predators, invasive alien plants that alter habitat structure, disease). However, because we can manage many of the threats at scales at which the achievement of recovery goals is possible, these species could be delisted if conservation partners committed to the implementation of stewardship agreements to maintain viable populations following those populations' delistings. © 2012 by American Institute of Biological Sciences. All rights reserved. Request permission to photocopy or reproduce article content at the University of California Press's Rights and Permissions Web site at . Source


Ngo-Ye T.L.,Dalton State College | Sinha A.P.,University of Wisconsin - Milwaukee
Decision Support Systems | Year: 2014

The era of Web 2.0 is witnessing the proliferation of online social media platforms, which develop new business models by leveraging user-generated content. One rapidly growing source of user-generated data is online reviews, which play a very important role in disseminating information, facilitating trust, and promoting commerce in the e-marketplace. In this paper, we develop and compare several text regression models for predicting the helpfulness of online reviews. In addition to using review words as predictors, we examine the influence of reviewer engagement characteristics such as reputation, commitment, and current activity. We employ a reviewer's RFM (Recency, Frequency, Monetary Value) dimensions to characterize his/her overall engagement and investigate if the inclusion of those dimensions helps improve the prediction of online review helpfulness. Empirical findings from text mining experiments conducted using reviews from Yelp and Amazon offer strong support to our thesis. We find that both review text and reviewer engagement characteristics help predict review helpfulness. The hybrid approach of combining the textual features of bag-of-words model and RFM dimensions produces the best prediction results. Furthermore, our approach facilitates the estimation of the helpfulness of new reviews instantly, making it possible for social media platforms to dynamically adjust the presentation of those reviews on their websites.© 2014 Elsevier B.V. All rights reserved. Source

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