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Full-Text Articles in Nanoscience and Nanotechnology
Resistive Switching Characteristics Of Nanostructured And Solution-Processed Complex Oxide Assemblies, Zimu Zhou
Doctoral Dissertations
Miniaturization of conventional nonvolatile (NVM) memory devices is rapidly approaching the physical limitations of the constituent materials. An emerging random access memory (RAM), nanoscale resistive RAM (RRAM), has the potential to replace conventional nonvolatile memory and could foster novel type of computing due to its fast switching speed, high scalability, and low power consumption. RRAM, or memristors, represent a class of two terminal devices comprising an insulating layer, such as a metal oxide, sandwiched between two terminal electrodes that exhibits two or more distinct resistance states that depend on the history of the applied bias. While the sudden resistance reduction …
A Micro-Nano Particle System For Sustained Drug Release In Lung Cancer Therapy, Heta N. Jadhav
A Micro-Nano Particle System For Sustained Drug Release In Lung Cancer Therapy, Heta N. Jadhav
USF Tampa Graduate Theses and Dissertations
Lung cancer remains the leading cause of cancer-related mortality in men and women worldwide (National Comprehensive Cancer Network). Hence, developing an effective new therapy to treat lung cancer is under intense investigation. Specifically, the sustained release of a drug in lung tumors is critically important. Previous studies at the USF have shown that telmisartan exhibits synergistic properties when combined with Actinomycin-D for lung cancer treatment. The objective of this study is to develop a novel micro/nano system consisting of lipids and chitosan polymers that would be able to deliver Tel directly to the lungs and release its payloads in a …
Towards Machine Learning In Chemical Sensing : Milk Differentiation And Quality Control Through Two-Dimensional Nano-Sensor Array, Yu Sheng Chen
Towards Machine Learning In Chemical Sensing : Milk Differentiation And Quality Control Through Two-Dimensional Nano-Sensor Array, Yu Sheng Chen
Legacy Theses & Dissertations (2009 - 2024)
Herein, we developed a novel artificial tongue using machine learning and 12 nanoassemblies (2D-NAs) to identify and analyzed different kinds of milk beverages for quality control. This biomimetic sensor array was trained to “taste” different milk types as an “artificial tongue” which is the first time we demonstrated that this sensor array can be implemented to complex systems. Two-dimensional nanoparticles (2D-nps) and nine fluorescently labeled single stranded oligonucleotides (ssDNA) with different length and nucleobases were assembled to create 12 2D-NAs. The artificial tongue was deployed to identify and analyze five milk types. All five milk types were discriminated with 95% …