Engineering Commons^™

Wrack Lines Volume 19, Number 1, Spring/Summer 2019, Nancy Balcom, Syma Ebbin, David Gregorio, Richard Telford, Judy Benson

Wrack Lines

Issue theme is: "Making Connections: As the Climate Changes, People and Nature Intertwine in New Ways." Articles include: "As More Roads Become Rivers, Communities Search for Solutions;" "Solving an Engineering Conundrum: As Coastal Homes Get Elevated, New Research Looks at Whether Vulnerability to Wind Damage Is Increasing;" "Along the Coast, Residents Consider How to Heed Sandy's Warning of What's to Come;" "All Rivers, All Lives Run to the Sea," about the intersection of waterways and the world of nature writer Edwin Way Teale; and "Crosscurrents: Connecticut Sea Grant's Retrospective Exhibition Makes Waves," about reaching new audiences and building bridges with …

Modeling Of Vapor Sorption In Nanoparticle Chemiresistors, Alexandra Oliveira

Honors Scholar Theses

Chemical vapor sensors possess a number of uses in a variety of fields, from environmental and health monitoring to food safety and national security concerns, such as the detection of improvised explosive devices. Many sensors currently in the market have the ability to detect the presence of a select few compounds and measure the concentration at which the species is present. However, these types of sensors require that the vapor to be investigated is known beforehand; they cannot be used for identification except on a case by case basis. In response to this issue, one branch of vapor sensor research …

Depressiongnn: Depression Prediction Using Graph Neural Network On Smartphone And Wearable Sensors, Param Bidja

Honors Scholar Theses

Depression prediction is a complicated classification problem because depression diagnosis involves many different social, physical, and mental signals. Traditional classification algorithms can only reach an accuracy of no more than 70% given the complexities of depression. However, a novel approach using Graph Neural Networks (GNN) can be used to reach over 80% accuracy, if a graph can represent the depression data set to capture differentiating features. Building such a graph requires 1) the definition of node features, which must be highly correlated with depression, and 2) the definition for edge metrics, which must also be highly correlated with depression. In …

Development Of A Sonically Powered Biodegradable Nanogenerator For Bone Regeneration, Avi S. Patel

University Scholar Projects

Background: Reconstruction of bone fractures and defects remains a big challenge in orthopedic surgery. While regenerative engineering has advanced the field greatly using a combination of biomaterial scaffolds and stem cells, one matter of difficulty is inducing osteogenesis in these cells. Recent works have shown electricity’s ability to promote osteogenesis in stem cell lines when seeded in bone scaffolds; however, typical electrical stimulators are either (a) externally housed and require overcomplex percutaneous wires be connected to the implanted scaffold or (b) implanted non-degradable devices which contain toxic batteries and require invasive removal surgeries.

Objective: Here, we establish a biodegradable, piezoelectric …

Development Of A Sonically Powered Biodegradable Nanogenerator For Bone Regeneration, Avi Patel

Honors Scholar Theses

Background: Reconstruction of bone fractures and defects remains a big challenge in orthopedic surgery. While regenerative engineering has advanced the field greatly using a combination of biomaterial scaffolds and stem cells, one matter of difficulty is inducing osteogenesis in these cells. Recent works have shown electricity’s ability to promote osteogenesis in stem cell lines when seeded in bone scaffolds; however, typical electrical stimulators are either (a) externally housed and require overcomplex percutaneous wires be connected to the implanted scaffold or (b) implanted non-degradable devices which contain toxic batteries and require invasive removal surgeries.

Objective: Here, we establish a biodegradable, piezoelectric …

Seeing Eye To Eye: A Machine Learning Approach To Automated Saccade Analysis, Maigh Attre

Honors Scholar Theses

Abnormal ocular motility is a common manifestation of many underlying pathologies particularly those that are neurological. Dynamics of saccades, when the eye rapidly changes its point of fixation, have been characterized for many neurological disorders including concussions, traumatic brain injuries (TBI), and Parkinson’s disease. However, widespread saccade analysis for diagnostic and research purposes requires the recognition of certain eye movement parameters. Key information such as velocity and duration must be determined from data based on a wide set of patients’ characteristics that may range in eye shapes and iris, hair and skin pigmentation [36]. Previous work on saccade analysis has …