Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Engineering
Evolutionary Conservation And Times Of Action Of Heterochronic Genes, Maria Ivanova
Evolutionary Conservation And Times Of Action Of Heterochronic Genes, Maria Ivanova
Theses and Dissertations
The heterochronic pathway of C. elegans is the most well-characterized system to date for controlling the sequence and timing of developmental events. However, we still have critical unanswered questions to address. First, little is known about the evolution of the heterochronic pathway, and of developmental timing in general. To determine if the roles of major heterochronic genes are conserved, I made mutants in orthologs of these genes in C. briggsae, using CRISPR/Cas9. My studies revealed a significant drift in the roles of some of the genes, although all of them are still involved in the developmental timing regulation, and several …
Biomimetic Strategies To Control Therapeutic Release From Novel Dna Nanoparticles, Robert J. Mosley
Biomimetic Strategies To Control Therapeutic Release From Novel Dna Nanoparticles, Robert J. Mosley
Theses and Dissertations
The inherent chemical, mechanical, and structural properties of nucleic acids make them ideal candidates for the formulation of tunable, personalized drug nanocarriers. However, none so far have exploited these properties for the controlled release of therapeutic drugs. In this dissertation, a biomimetic approach to controlling drug release is exhibited by specifically manipulating the architecture of novel, DNA nanoparticles to take advantage of drug binding mechanisms of action. Rationally designed DNA strands were immobilized on gold surfaces via a terminal thiol modification. Immobilized monomers can be manipulated to form distinct monolayer architectures including flat, folded, coiled, or stretched structures. Increasing the …
An Investigation Of The Cortical Learning Algorithm, Anthony C. Samaritano
An Investigation Of The Cortical Learning Algorithm, Anthony C. Samaritano
Theses and Dissertations
Pattern recognition and machine learning fields have revolutionized countless industries and applications from biometric security to modern industrial assembly lines. The fields continue to accelerate as faster, more efficient processing hardware becomes commercially available. Despite the accelerated growth of the pattern recognition and machine learning fields, computers still are unable to learn, reason, and perform rudimentary tasks that humans and animals find routine. Animals are able to move fluidly, understand their environment, and maximize their chances of survival through adaptation - animals demonstrate intelligence. A primary argument in this thesis that we have not yet achieved a level of intelligence …