Home » MOL2NET-03 » Section 04: SRI-09: 9th Summer Research Institute Symposium, STU-MDC, Miami, USA, 2017

MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition

This conference is organized by Prof. Humbert González-Díaz. Sciforum is not responsible for the content posted on this website.

04: SRI-09: 9th Summer Research Institute Symposium, STU-MDC, Miami, USA, 2017


NOTES: Before to submit your communication we strongly recommend to read to read carefully the notes to participants at the end of the welcome message and/or the notes in the following page [Notes to authors] about publication model, copyright, authors responsibilities, etc.

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Welcome Message

 Nine years have gone since the First STU-MDC Summer Research Institute (SRI) Symposium. Over the years, faculty members from both institutions, School of Science, Technology, and Engineering Management of Saint Thomas University (STU) and Miami Dade College (MDC), have partnered to provide undergraduate students hands-on experiences and computational projects that will prepare them for the new challenges of the modern world and the job market. The commitment of the faculty and staff of the School of Science, Technology and Engineering Management has permitted to introduce students into modern techniques of molecular biology, statistical analysis, mathematical modeling, computational physics, bioinformatics, nano sciences and a large variety of characterization techniques. During this last edition, students exchanged experiences with researchers from University of MiamiFlorida International University (FIU) and also from  NASA,

For the second time, this year, the memories of the SRI will be hosted online by the MOL2NET conference series. It means, that all communications will be published online at Sciforum platform. All presentations will be peer reviewed and a DOI number will be assigned. MOL2NET conference of Sciforum is one of the platforms with international recognition for scientific exchange. The variety of topics included within this new edition acknowledges the inter-disciplinarity, teamwork, and networking of modern science. Feel free to contact researchers and participants to foster more collaboration efforts. St. Thomas University School of STEM is open to new ventures and joint ventures. Interested to see previous edition can follow the link  SRI-08 and witness the quality of 38 submissions with a total of 21 publications. The new edition SRI-09 received a total of 27 submissions.

Special thanks to our partner Miami Dade College (MDC) and the grant STEM-SPACE P03C1160161. The received contributions provided funding for equipment, logistics, and minor activities associated with the SRI. Ten speakers from and local Technological companies came to St. Thomas to share their wisdom as an in kind contribution.

Thank you for your support!

SRI Chairman

Prof. Dr. David Quesada, Associate Professor of Physics, (MOL2NET Committee)
Saint Thomas University (STU), Carnival Building, Room 117, Miami, FL, USA.
Email: dquesada@stu.edu

Scientific Committee

Prof. Dr. Alexis Tapanes-Castillo, Assistant Professor of Biology
School of Science, Technology and Engineering Management, 
St. Thomas University (STU), Miami, FL, USA.
Email: atapanes-castillo@stu.edu 

Prof. Dr. Reinaldo Sanchez-Arias, Assistant professor of Mathematics, 
School of Science, Technology and Engineering Management,
St. Thomas University (STU), Miami, FL, USA.
Email: rsanchez-arias@stu.edu

Prof. Dr. Luis Fernandez-Torres, Assistant Professor of Chemistry, 
School of Science, Technology and Engineering Management, 
St. Thomas University (STU), Miami, FL, USA.
Email: lfernandez-torres@stu.edu

Advisory Chairman

Prof. Dr. González-Díaz H., IKERBASQUE Professor

(1) Department of Organic Chemistry II, University of the Basque Country UPV/EHU , 48940, Leioa, Biscay, Spain.
(2) IKERBASQUE, Basque Foundation for Science , 48011, Bilbao, Biscay, Spain.
ORCID: https://orcid.org/0000-0002-9392-2797

[SRI09 PHOTO GALLERY]

 

List of Accepted Abstracts (27)
Analysis of microbial communities reflect diel vertical migration in the Gulf of Mexico
Analysis of the Gentrification Process in the City of Miami
Antioxidant capacity of Moringa oleifera and Casuarina equisetifolia
Antioxidant capacity of Vitis rotundifolia and Petiveria alliacea
Antioxidant Capacity of Okinawa Spinach (Gynura bicolor)
Antioxidant properties of Hamelia patens and Annona muricata
Antioxidant properties of oyster plant (Tradescantia spathacea) extracts using different methods
Assessment of Microclimatic conditions of St. Thomas University forest
Assessment of the temperature comfort of a model house
Biomedical modeling of Magnetic Nanoparticles Fluid Hyperthermia for Cancer treatment
Calcium-functionalized biochar for removal of contaminants in water
Creating a Model to Predict Student Success using WeBWorK data
Differential expression of native potatoes genes in response to drought conditions
Doped Sn:S thin film absorbers for tin sulfide solar cells
Evaluating medicinal plants for anticancer properties: testing plant extracts for cytotoxicity
Evaluating the role of DLGAP1 transcripts in autism biology
Gene Expression of Chloroplastic Antioxidant Ascorbate Peroxidases during Dehydration Conditions in Spinach Leaves
Investigation of the antioxidant properties of the invasive plant Brazilian pepper tree
Iron oxide-functionalized biochar for removal of discarded prescription drugs
Preliminary antioxidant activity analysis of Brazilian pepper tree (Schinus terebinthifolius) extracts via TLC, FRAP, and DPPH
Preliminary study of the antioxidant activity of Vitis rotundifolia (muscadine grape) extracts using different methods
Primer design for detection of antioxidant genes Ascorbate Peroxidase and Catalase inSpinacea oleracea, Camellia sinensis, and Daucus carota
Reforestation of Dade County Slash Pine Urban Forest
Synthesis and characterization of cobalt phosphate nanomaterials
Time series analysis and forecast of respiratory conditions in Florida
Time series analysis of the EEG signals for Epilepsy seizure forecast
Twitter Data Mining and Predictive Modeling in R