San Marcos Mercury | Local News from San Marcos and Hays County, Texas


Fourteen Texas State University faculty members have been awarded library research grants for materials to support their research projects.

Library research grants are intended to facilitate faculty research and creative activity through the acquisition of library materials. Twenty thousand dollars is available each year for the grant program. Eligible materials include but are not limited to books, back issues of journals, electronic resources, DVDs, CDs, CD-ROMs and microform.

Members of the library’s faculty advisory group reviewed the proposals and recommended grants to the following recipients and projects/specializations:

• Dr. Alejandro Barcenas Pardo, Department of Philosophy – Contemporary Latin American Thought: Zea, Dussel and Fuentes
• Dr. Emily K. Brunson, Department of Anthropology – Medical anthropology
• Dr. Kyong Hee Chee, Department of Sociology – The sociology of aging and the life course
• Dr. Joseph R. Falocco, Department of English – Understanding Early Modern Performance Texts
• Dr. Jean-Marc A. Gandonou, Department of Agriculture – Food production, sustainability and economic development
• Mr. Joshua F. Gonzales and Mr. Christopher J Russian, Department of Respiratory Care – The Use of Clinical Simulation Videos to Enhance Simulation Practice
• Dr. Jiyun Kang, School of Family and Consumer Sciences – Sustainable consumer leadership
• Dr. Cristian H. Lieneck, School of Health Administration – The Journey Towards Accountable Care
• Dr. Gloria Martinez-Ramos, Department of Sociology – From Selena Quintanilla-Perez to Selena Gomez: The Evolution and Celebration of Latino/a Popular Music
• Mr. Ronald C Ulen, School of Music – Othmar Schoeck
• Dr. Shannon E Weigum, Department of Biology – Biosensors and microfluidics
• Dr. Nancy A Wilson, Department of English – Stonewall and Beyond
• Dr. Ziliang Zong, Department of Computer Science – 1) FastStor: Data-Mining-Based Multilayer Prefetching for Hybrid Storage Systems and 2) EEDAG: Exploring Energy-Efficient Parallel Tasks Generation and Scheduling for Heterogeneous Multicore Systems

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