Rauner Special Collections Library Acquisitions during February 2018

New Acquisitions > February 2018 > Rauner Special Collections Library

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To have other eyes: metaphor, meaning, and imagination
Nakazawa, Christian Forrest Jackson author
Rauner D.C. History Honors 2017

That Corpse You Planted: An Agrarian Perspective on the Mortality of Text
Salovaara, Malcolm, author
Rauner D.C. History Honors 2017

Writing from the Wake: Afro-futurism in Atlantic Literature
Jones, W. Danielle, author
Rauner D.C. History Honors 2017

Beneath the bottom: Asian/american queer womanhood
Kwon, Susana Min Ji, author
Rauner D.C. History Honors 2017

See more glass; A reappraisal of J.D. Salinger's glass stories
Patterson, Kevin Michael, author
Rauner D.C. History Honors 2017

Bards, Rhymers, and other notorious malefactors: Poetry and the public sphere in late 16th-century Ireland
Thyr, Nicholas, author
Rauner D.C. History Honors 2017

The pharmaceutical industry and the Acquired Immune Deficiency Syndrome : reasons for underinvestment and optimal government policies
Pew, Derek N., author
Rauner D.C. History HB171 .P49 1988

Pocket spaces
Shea, Andrew, author,
Rauner D.C. History Honors 2017

Damaged goods : a fantastic autobiography
Chicaiza, Anthony Marcelo, author,
Rauner D.C. History Honors 2017

I am : an exploration of figure and identity
Modder, Samantha, artist, author
Rauner D.C. History Honors 2017

In memories we trust
Renaud, Josh, artist, author
Rauner D.C. History Honors 2017

Covariant analysis of equilibrium establishment following disturbance
Marti, Mackenzie K., author
"Using dams as natural experiments that present a discrete disturbance in sediment flux, I quantify the state of fluvial equilibrium below six run-of-river dams and one impoundment dam ranging in age from 59 to 94 years old. Previous studies of run-of-river dams show inconsistent results concerning changes in downstream channel morphology. Here, I augment these investigations by analyzing the response of covariant channel parameters to regulation following dam emplacement. Equilibrium channel form is defined as one where, absent of tributary inputs, sediment flux is constant in the downstream direction and hence the channel is neither aggrading nor degrading. Equilibrium form for bedload-dominated channels is evaluated using the bankfull channel Shields parameter. Upstream and downstream bankfull Shields values were calculated at 8 to 14 cross-sections extending 200-450 m upstream and downstream of each dam. While statistically significant differences in channel slope (p = 0.015) and width (p = 0.038) were found at two run-of-river dam sites, no statistical difference was found between any upstream and downstream bankfull Shields values, suggesting that all run-of-river sites evaluated here are in a state of equilibrium. Evaluation of the impoundment dam found the downstream reach in equilibrium, with no statistical difference between the upstream and downstream bankfull Shields value; however, three downstream site parameters were statistically different from upstream: bankfull channel slope (p = 0.022), width (p = 0.016), and flow depth (p = 0.008). This difference emphasizes the importance of considering covariant changes in channel parameters in response to disturbance. Despite elevated sediment trapping behind the impoundment dam, the downstream reach has established an equilibrium form in the 59 years since dam emplacement. While this unique method for quantifying equilibrium channel form can be applied to a wide range of geomorphic disturbances, the dominant mode of transport must be unchanging along a reach or accounted for by comparing only transects under similar transport regimes. As the dominant transport mechanism shifts, so too do the parameters used to identify equilibrium, including the bankfull and critical Shields values. Here, a shift in transport regime from bedload to mixed-load dominated transects resulted in elevated Shields values."
Kresge Thesis M.S. Earth 2017

Singularity methods for rapid design and analysis of cross-flow propellers and turbines
Roesler, Bernard T., author
"In their respective quests for higher energy efficiency and greater power extraction, the marine transportation and marine hydrokinetic industries have developed a class of devices known as cross-flow propellers and turbines. To predict the performance of these devices, engineers require accurate computational models. Traditional Reynolds-averaged Navier- Stokes equation (RANS) solvers provide an accurate, detailed description of the fluid flow, but the transient solution for each design iteration often requires a number of days to complete. At the other end of the spectrum, lumped airfoil models are fast, but accuracy is limited to certain design geometries and operating conditions. This thesis applies the vortex lattice method (VLM) to the cross-flow rotor design problem, to fill the need for a computational method to analyze cross-flow rotors that is at once fast, accurate, and robust. We first explore the standard lumped airfoil model as applied to a cross-flow propeller. We perform a design study to demonstrate the applicability of the model to design a propeller for an inland waterway vessel, and we conduct a model-scale experiment of a novel propeller design in order to validate our model for the propeller case. Through comparison with RANS simulations, however, we find the lumped airfoil model to be inaccurate for the turbine case. We then present the vortex lattice method, which includes implementation features to improve accuracy and computational efficiency for the cross-flow rotor design problem. We compare our VLM results to RANS solutions to demonstrate our significant improvement over the state-of-the-art lumped airfoil methods. Finally, we investigate the sensitivity of the model to changes in each of its parameters in order to determine the robustness of our model. Throughout this thesis, we follow the cycle of engineering design to make observations of the operation of cross-flow devices, gain insights on the physical phenomena governing their operation, and incorporate those insights into our models."
Rauner D.C. Hist Thesis Ph.D. 2017

Filament dynamics and GTPase activity of the Septin cytoskeleton
Khan, Anum, author
"Septins are cytoskeletal proteins conserved in most eukaryotes and are involved in cytokinesis, cell polarity, morphogenesis and membrane remodeling. All septins are GTPbinding proteins that arrange into non-polar hetero-oligomeric complexes. These heteromeric complexes associate with the membrane and polymerize to form filaments. Septin involvement in diverse cellular processes in different eukaryotes requires organization into diverse higher-order structures. Recent studies have only begun to understand the septin assembly process. Septins filaments assemble on a membrane and can shrink and grow through annealing and fragmentation, respectively. Despite the advances in understanding septin filament dynamics in recent years, factors that may modulate filament properties are not well understood. Investigating how septins regulate their filament assemblies and dynamics is important in understanding how cells use the same septin building blocks to generate diverse higher-order structures. In this thesis, we investigate how rod composition and nucleotide influence septin filament properties by pairing in vitro reconstitution with total internal reflection fluorescence (TIRF) microscopy. We found that varying proportion of different complexes can determine the biophysical properties of septin filaments and influences filament length, annealing, fragmentation and flexibility. In addition, we found that GTP promotes lateral associations between septin filaments. We also explored how membrane binding may affect the GTPase activity of septin complexes. We found that binding to curved membranes could increase the turnover rate of septin GTPases. Overall this thesis identifies some mechanisms that cells may use to generate diversity in septin structure and function. Using approaches used in this thesis in the future will allow us to investigate how cells use different filament properties to organize into distinct assemblies and how septin structure relates to function."
Rauner D.C. Hist Thesis Ph.D. 2017

Understanding antigen and innate immune recognition : decoding natural antibody diversity with machine learning
Cheng, Hao, author
"Beyond all doubt, we have entered the era of big data. In contrast to traditional experiments in which single input variables are manipulated, or single output observations are made, major advances in high-throughput technologies have led to an exponential growth of biological data. The availability of multi-omics data has greatly facilitated life science research and contributed to a better understanding of biological processes. Antibodyomics represents an important subdomain of multi-omics data, as antibodies represent a critical part of the human adaptive immune system--bridging recognition of infectious disease pathogens to clearance via innate immune effector cell stimulation. Numerous aspects of antibody data, including subclass distribution, Fab and Fc binding affinity, epitope specificity, glycosylation patterns, effector functions and other properties contribute to a complex activity landscape. Today, the challenge is no longer the acquisition of antibody data, but how to best utilize these data to identify critical antibody features associated with potent activity. Both supervised and unsupervised machine learning algorithms have offered systematic and unbiased approaches interpreting complex humoral immune responses. In this thesis work, diverse machine learning approaches were utilized to decode the natural antibody diversity within various biological disease contexts. First, in the pediatric immune system, antibodyomics tools were used to evaluate how IgG glycosylation patterns change with age in both healthy and immunodeficient children. Secondly, they identified enhanced IgG binding to FcRL5 as a robust biomarker for juvenile idiopathic arthritis, and associated this phenotype with aberrant IgG galactosylation and sialylation. Thirdly, a classifier trained on antibody epitope mapping data identified a signature of HIV-1 CD4 binding site recognition that discriminates broadly from non-broadly neutralizing antibodies. Lastly, antiviral antibody effector functions were robustly predicted using biophysical assessments of antigen binding and Fc receptor binding. These measures of IgG Fab and Fc quality were identified as major contributing features in contrast to traditional measures of response magnitude or antibody titer. In sum, through the application of machine learning approaches to antibodyomics data, this body of work provides deeper insights into features of functionally potent antibody responses, and how the biophysical and biochemical attributes of antibodies vary across individuals, over time, and in response to infection or autoimmune disease."
Rauner D.C. Hist Thesis Ph.D. 2017

Color x-ray imaging and photon counting with temporally oversampled CMOS image sensors
Hondongwa, Donald B., author
"X-ray imaging is an indispensable tool for medical imaging allowing the non-invasive viewing of the internal structure and function of an organism. Unfortunately, the imaging performance is limited by the loss of x-ray energy information that occurs during typical imaging processes. This sometimes necessitates the use of higher x-ray doses during an imaging session which can be damaging to the patient. Shifting to photon-counting detectors offers a means to correct for some of the performance loss that results from this loss of energy information. Basic x-ray photon counting seeks to identify the presence of a single x-ray quanta, but with additional processing circuitry, it is also possible to estimate the x-ray photon energy. By utilizing temporal oversampling, and imaging at over 1000 frames per second (1000 fps), each x-ray quanta absorbed by the detector can be counted. The sensor produces a binary output corresponding to the detected x-ray absorption events. To examine the underlying hypothesis that x-ray photon counting can be implemented with a temporally-oversampled CMOS image sensor, a prototype x-ray quanta image sensor (XQIS) was designed and fabricated using a commercial CMOS image sensor process. An accompanying system level model was also developed. The additional hypothesis that energy (color) information can be preserved during the imaging process with the XQIS is examined using the thresholding circuitry that the prototype sensor was designed with. An additional novel pixel structure incorporating both counting and integrating circuitry has been designed for color imaging and augmented dynamic range."
Rauner D.C. Hist Thesis Ph.D. 2017

Sediment trapping in disturbed rivers
Roberts, Maura O'Brien, author
"Run-of-river (ROR) dams are small dams that do not impede discharge, distinguishing them from flow-regulating impoundment dams. Nevertheless, ROR dams create a perturbation in local velocity conditions within the reservoir. The effects of ROR dams are poorly understood, particularly with respect to sediment transport. Studies have documented or predicted both sediment trapping and passage at ROR dams, yet the mechanisms of these behaviors remain speculative and untested. Here I investigate incipient sediment motion across spatially localized disturbances produced by ROR dams. Using HEC-RAS flow modeling and a year-long dataset of high-resolution suspended and bedload sediment mobility across five ROR dam sites, I analyze incipient motion conditions in flows up to 3 times the peak 2-year flow. In particular, I examine 'trapping' within the reservoir, i.e. a lack of mobilization over the dam during flow conditions that produce mobility elsewhere in the reach. Suspended sediment trapping conforms consistently to a critical threshold velocity of 0.67 m/s. Observations of bedload tracer mobility and stability display abundant scatter across multiple mobility metrics, but are distributed evenly around a critical Shields stress of 0.058. The critical conditions for suspended sediment trapping appear to be relatively fixed, while bedload trapping exhibited unresolvable noise that is likely attributable to variations in particle-bed interaction imposed by local bed grain size. At the determined critical thresholds, sediment trapping probability ranges from 65-90% for suspended sediment, and 20-96% for bedload sediment at four of the five sites. One site displays less than 5% trapping frequency of both transport modes due to low predicted frequency of mobility. Consistent with previous numerical predictions, suspended and bedload particles were mobilized over the dam across all sites in conditions with predicted and observed recurrence intervals of <1 year, at flow conditions well below the peak 2-year flow. Modeled trapping conditions in the reservoir mirrored, and even exceeded, flow conditions in natural morphologic units within the study reach. I conclude that ROR dam reservoirs pose relatively minor barriers to sediment transport, and in that respect may be analogous to natural velocity perturbations in fluvial systems."
Kresge Thesis M.S. Earth 2018

No one has left the harbor yet
Lee, Jai Yeon, author
"No one has left the harbor yet is a screenwriting which implements visual, behavioral, and lingual narrative to address a social issue, Sewol Ferry disaster on the 16th of April 2014. The first act of No one has left the harbor yet is focused on events surrounding Sewol Ferry disaster in 2014. The second act describes conflicts and events between various groups of citizens and the government until 2017 after Sewol Ferry disaster. The last act resolves the biggest mystery related to Sewol Ferry disaster and reaches an open ending. This screenwriting was written based on interview from families of victims, news articles, and news videos."
Baker Berry LD1447.7 .L443 2018

Optimizing near-infrared spectral tomography for diagnostic imaging and monitoring of breast cancer treatment
Zhao, Yan, author
"Near-infrared spectral tomography (NIRST) has been intensively investigated for clinical application in breast imaging, by providing functional information about physiologically related biomarkers such as oxy- and deoxy-hemoglobin, water, lipid and scatter component. In this thesis, a series of studies on system development and reconstruction algorithm were completed to improve the imaging quality of MR-guide NIRST and to predicate breast cancer response to neo-adjuvant chemotherapy. To optimize image recovery which maximizes difference between malignant and benign lesions, non-linear iterative reconstructions of MR-Guided NISRT images were recovered using an L-curve based algorithm, and applied to clinical trial data. The statistical analyses have shown that the new approach dramatically improved the statistical significance for differentiating malignant from benign lesions. While MRI guide NIRST has been utilized to detect breast cancer, NIRST is also used to predicate and monitor breast tumor responses in patients with locally advanced breast cancer undergoing neoadjuvant treatment. Based on an existing hybrid NIRST system developed at Dartmouth, a compact and portable NIRST system has been developed for imaging patients in the infusion unit while patients are awaiting or undergoing infusion. This system can acquire frequency-domain and continuous-wave data simultaneously at 12 wavelengths in the wavelength range of 660nm to 1064nm. Novel soft gel based homogenous and heterogamous tissue-mimicking phantoms with sphere-shape inclusions have been developed, to mimic human breasts. The phantom experiments indicate that the reconstructed optical images highly depend on the position of imaging plane, especially in the case of small inclusions. Tomographic images of breast collagen content have been recovered for the first time, and image reconstruction approaches with and without collagen content included have been validated in simulation studies, which indicate that including collagen content into the reconstruction procedure can significantly reduce the overestimation in total hemoglobin, water and lipid, and underestimates in oxygen saturation. A group of 10 normal subjects were imaged, and significantly higher (p<0.05) total hemoglobin and water were estimated in the high-density relative to low-density groups. The performance of the NIRST system was validated in an ongoing clinical trial, and the recovered optical biomarkers were correlated with pathologic response to neoadjuvant chemotherapy. "
Rauner D.C. Hist Thesis Ph.D. 2017

Nanophotonic hot electron solar-blind ultraviolet detectors with a metal-oxide-semiconductor structure
Wang, Zhiyuan, author
"Solar-blind ultraviolet detection refers to photon detection specifically in the wavelength range of 200 nm to 320 nm. Without background noises from solar radiation, it has broad applications from homeland security to environmental monitoring. In this thesis, we design and fabricate a nanophotonic metal-oxide-semiconductor device for solar-blind UV detection. Instead of using semiconductors as the active absorber, we use metal Sn nano-grating structures to absorb UV photons and generate hot electrons for internal photoemission across the Sn/SiO₂ interfacial barrier, thereby generating photocurrent between metal and semiconductor region upon UV excitation. The large metal/oxide interfacial energy barrier enables solar-blind UV detection by blocking the less energetic electrons excited by visible photons. With optimized design, ~85% UV absorption and hot electron excitation can be achieved within the mean free path of ~20 nm from the metal/oxide interface. This feature greatly enhances hot electron transport across the interfacial barrier to generate photocurrent. Various fabrication techniques have been developed for preparing nano gratings. For nominally 20 nm-thick deposited Sn, the self-formed pseudo-periodic nanostructure help achieve ~75% UV absorption from [lambda]=200 nm to 300 nm. With another layer of nominally 20 nm-thick Sn, similar UV absorption is maintained while conductivity is improved, which is beneficial for overall device efficiency. The Sn/SiO₂/Si MOS devices show good solar-blind character while achieving ~13% internal quantum efficiency for 260 nm UV with only 20 nm-thick Sn and some devices demonstrate much higher (even >100%) internal quantum efficiency. While a more accurate estimation of device effective area is needed for proving our calculation, these results indeed show a great potential for this type of hot-electron-based photodetectors and for Sn nanostructure as an effective UV absorber. The simple geometry of the self-assembled Sn nano-gratings and MOS structure make this novel type of device easy to fabricate and integrate with Si ROICs compared to existing solar-blind UV detection schemes. The presented device structure also breaks through the conventional notion that photon absorption by metal is always a loss in solid-state photodetectors, and it can potentially be extended to other active metal photonic devices. "
Rauner D.C. Hist Thesis Ph.D. 2017