Recent scientific studies show that framing climate change as a health issue rather than an environmental issue were more persuasive with American audience members (Maibach et. al., 2010; Maibach et. al. 2014). Also in 2014, a survey on respiratory healthcare providers and found that a large percentage believed that climate...
Listeria monocytogenes contamination continues to pose challenges for the food industry and there is demand for effective methods of food preservation and protection that can also be considered clean label. A promising source of antilisterial compounds may be sourced from bacteria that produce novel byproducts. Ribosomally synthesized and post-translationally modified...
The gradient of a velocity vector field is an asymmetric tensor field which can provide critical insight that is difficult to infer from traditional trajectory-based vector field visualization techniques. I describe the structures in the eigenvalue and eigenvector fields of the gradient tensor and how these structures can be used...
This thesis presents a novel algorithmic A/D converter to be used in a biosensor. The converter is capable of a conversion rate of 1.5 bits/phase and hence the required conversion time is reduced. The proposed architecture is analyzed for non-ideal effects and compared with existing algorithmic A/D architectures. The converter...
Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
Detection of both biological and chemical environmental toxicants is essential in the assessment of risk to human health. Cell-based biosensors are capable of activity- based detection of toxicity. Chromatophore cells, responsible for the pigmentation of poikilothermic animal, have shown immense potential as cell-based biosensors in the detection of a broad...
Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
Standard larval Pacific oyster (Crassostrea gigas) rearing systems can be described as either static or continuous flow. While rearing oyster larvae in static cultures can be a low-cost and simple method, static systems require significant husbandry effort, floorspace and can produce highly variable results due to environmental variance among cultures....
Magnetic particle imaging (MPI) is a biomedical imaging technique which detects the presence of magnetic nanoparticles which have been introduced into the specimen prior to imaging. MPI has shown promise for real-time imaging with spatial resolution comparable to magnetic resonance imaging (MRI). MPI research has focused predominantly on the development...
This paper describes the design and implementation of
"A multiprocessor node for communication and control"
(MPCC). MPCC is a high speed, high performance local area
network capable of performing real time control tasks. This
is achieved by the concurrent operation of two 8051
microcontrollers, a dual port RAM and the...