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  Partner: UNT College of Engineering
 Department: Mechanical and Energy Engineering
AC 2007-1844: An Innovative Mechanical and Energy Engineering Curriculum
This paper discusses the addition of a new Department of Mechanical and Energy Engineering at the University of North Texas (UNT). Those involved see the curriculum for this new program as a new model of engineering education that parallels the innovations of UNTs current Learning to Learn (L2L) project-oriented concept course with the addition of innovative approaches for mechanical engineering and emphasis on energy engineering education.
Effect of Impregnated Inorganic Nanoparticles on the Properties of the Kenaf Bast Fibers
This article evaluates the properties of the chemically retted kenaf bast fiber impregnated with the inorganic nanoparticles.
Effects of Carbonization Temperature and Component Ratio on Electromagnetic Interference Shielding Effectiveness of Woodceramics
This article explores the effects of carbonization temperature and mass ratio of wood/resin on electromagnetic interference, shielding effectiveness, and morphology of woodceramics.
Evaluation of Anthropogenic Air Emissions from Marine Engines in a Coastal Urban Airshed of Texas
This article provides a brief description of the adopted methodology for estimating anthropogenic emission estimation of ocean going vessels and barges.
Fabrication of Wood-Rubber Composites Using Rubber Compound as a Bonding Agent Instead of Adhesives
This article describes fabricating wood-rubber composites using rubber processing to improve water resistance and mechanical properties.
A High-Precision Micropipette Sensor for Cellular-Level Real-Time Thermal Characterization
This article reports the development of a novel glass micropipette thermal sensor fabricated in a cost-effective manner.
Multifunctional Micropipette Biological Sensor
Patent relating to a multifunctional micropipette biological sensor.
Sources Affecting PM₂̣ ₅ Concentrations at a Rural Semi-Arid Coastal Site in South Texas
This article employs an advanced factor analysis technique with principal component analysis/absolute principal component scores and positive matrix factorization to apportion the sources influencing the PM₂̣ ₅ levels measured during 2003 through 2005 at a rural coastal site located within the Corpus Christi urban airshed in South Texas.