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Searching for the 1867 Tsunami in the Greater and Lesser Antilles Islands
No full textThe Greater and Lesser Antilles form a chain of islands in the Caribbean Sea which lie on an active plate margin. This area is known for experiencing devastating hurricanes, earthquakes, and tsunamigenic events. Earthquakes and tsunamis are important natural disasters to study because of their destruction to coastal areas and to those who live in those areas. Earthquakes and subsequently tsunamis create extensive damage to infrastructure, landscapes, ecosystems, and amass countless casualties. Studying tsunamis and understanding how and why they form, allows us to prepare better for the future by setting up risk assessment protocols in the event they should occur. Retrieving sediment cores from undisturbed areas affected by tsunamis allows us to analyze the sediment deposition and observe any disruptions without disturbances from living organisms. Coastal salt ponds make excellent traps for tsunamiites, due to their high salinity and lack of life within the ponds. Tsunamiites are sections of the sediment record which are noted by disrupted sediment deposition, preserving evidence of a tsunami inundation events. Outlined in this paper are the steps taken to discover salt ponds and decide systematically which salt ponds are the likeliest to contain tsunami deposits. Further studies of higher ranked salt ponds may find evidence of this tsunamigenic event, which will further assist in understanding tsunami frequency and to plan better for the futureNo embarg
CIL 6.3570 – Fragments of an epitaph for Aurelia Claudia, almost nine years old, set up by her parents, 3rd century CE
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CIL 6.34206 – Funerary monument for T. Aconius Karus, his nurse/tutor, his parents and their descendants, 1st-2nd century CE
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CIL 6.24465 – Columbarium plaque for Cn. Pompeius Fructus, a freedman, mid-1st century – mid-2nd century CE
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CIL 6.38317 – Epitaph for Eridanus Zosimus, who lived seven years, five months, and fourteen days, 2nd-3rd century CE
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Developing Algorithms to Infer Mineralogy of Particles in Taylor Glacier Ice Cores from Elemental Composition Data Measured by spICP-TOFMS and TEM-EDXS
No full textThe mineralogy of atmospheric particles affects the amount of light scattered and absorbed by these particles as they pass through the atmosphere. A classification system described in this thesis was developed to automatically infer mineralogy of particles based on their measured elemental chemical composition and the elemental chemical composition of known minerals. When comparing the particle's elemental composition to preset ranges for each mineral, if a particle falls within that range, it is marked as elementally similar to that mineral. When each ratio is converted to python code and applied to elemental composition output files, each particle can be labeled as any chemically similar mineral.
The elemental chemical composition of hundreds of thousands to millions of particles atmospheric particles entrapped in glacial ice samples can be measured using single particle Inductively Coupled Plasma-Time of Flight Mass Spectrometry (spICP-TOFMS) in about 2 hours (consuming only about 4 mL of melted ice). A spICP-TOFMS can measure the total number of particles per mL, elemental composition of each particle, and the particle size (mass equivalent diameter).
This system of inferring mineralogy was assessed by comparison to Transmission Electron Microscope-Energy Dispersive X-ray Spectroscopy (TEM-EDXS) analysis of a limited (50) number of particles from Taylor Glacier samples with manual inference of mineralogy. The system described in this thesis was also used to infer mineralogy of mineral standards whose elemental composition was measured using spICP-TOFMS. After comparisons to multiple methods of inferring mineralogy, the system within this thesis was used to analyze samples of Taylor glacier measured by spICP-TOFMS.A one-year embargo was granted for this item.Academic Major: Earth SciencesAcademic Major: Chemistr
CIL 6.39683 – Double columbarium plaque for a father, D. Ampudius Sotericus, and his son, D. Ampudicus Bassus, 1st century CE
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Characteristics of Cancer Survivors Attending a Cancer-Supportive Care Clinic
No full textBackground: By 2032, it is expected that there will be 22.5 million cancer survivors in the United States. A key aspect of cancer survivorship care is ensuring patients have access to appropriate follow-up for unmet needs. The purpose of this study was to describe the characteristics of cancer survivors who attended a cancer-supportive care clinic.
Theoretical Framework: The Wilson and Cleary HQOL Theory was used to guide this study.
Methods: This retrospective study collected data from an internal database at a comprehensive cancer center between March 2013 and February 2023. The descriptive data included cancer-related health information, comorbidities, and substance use.
Results: Data were collected from 9,229 cancer survivors. Ninety percent of survivors had a completed treatment summary and survivorship care plan from a healthcare provider. All cancer diagnoses were included in the study; however, breast cancer was the most frequent (47%). Most were treated with surgery (88%), almost half had chemotherapy (47%), and 39% had radiation. Many survivors reported substance use. Forty-one percent reported current or previous tobacco use, with 22% current use. Sixty-two percent reported current or previous alcohol use, and 9.4% reported current or previous recreational drug use. Twenty percent of the sample reported a diagnosis of depression, and 15% reported a diagnosis of anxiety.
Conclusion: Substance use may be more prevalent among this group of cancer survivors who participated in a cancer-supportive care clinic. In addition, many survivors reported mental health disorders. This may suggest additional mental health and substance use screenings along with appropriate treatment referrals could bridge the gap for unmet needs in cancer survivors.A five-year embargo was granted for this item.Academic Major: Nursin
Deep Learning Based Segmentation Of The Posterior Eye To Study Glaucoma and Age Related Morphological Changes
Get PDFGlaucoma, the leading cause of irreversible blindness in the United States, poses therapeutic challenges with current methods relying on IOP (intraocular pressure) management. However, even after effective lowering of IOP, patients sometimes can still lose vision permanently. Recent studies highlight the potential association between peripapillary sclera (PPS) and lamina cribrosa (LC) biomechanical properties and glaucoma risk. This study aims to explore morphological differences in posterior ocular tissues in order to understand more effective alternatives of focusing treatments for glaucoma.
This study utilized a 50 MHz Vivo 2100 ultrasound imaging system for posterior eye assessment using both healthy and glaucomatous human donor eyes. A portion of the ultrasound images were processed and manually segmented using a custom software. Using this segmented data, a DeepLab V3+ DL-based auto-segmentation tool was employed with a Timm-Efficient Net encoder was trained on for more efficient and streamlined segmentation of the remaining data set. The DL model demonstrated good accuracy in auto-segmentation, surpassing 90% accuracy in relevant ocular tissue layers. Morphological data consisting of the thickness of the retina, sclera, and LC as well as depth between the Bruch’s membrane opening (BMO) and anterior LC were calculated in MatLab. Our results showed a significant difference in thickness between healthy and glaucoma eyes in the retina and age-related thinning of the PPS demonstrating the potential of DL-based auto-segmentation for ocular tissue morphological assessment in glaucoma therapeutics.No embargoAcademic Major: Biomedical Engineerin
