Considered privileged by social standards, with two loving parents and a spot in an elite, all-girls private school in New Jersey, Charlie should be happy. But at Oak Crest College Preparatory, if you're not a straight-A student, you're dumb. If you're not a star athlete, you're invisible. And if you don't compete to be the best? Well, you might as well flunk out. Charlie is already failing math, and it's only October. Why not throw school—and maybe her whole life—away? Then, one day, Charlie finds a suicide note in the bathroom at school, and her world is turned upside down. As she goes through the process of trying to find out who wrote it, the note writer herself remains hidden to herself and everyone else. A perfectionist all her life, she strives to be everything her parents and teachers expect, but does not know what truly makes her happy. The pressure to fulfill expectation is starting to weigh on her, but no one, except Charlie, can know she is thinking of suicide.

Antibiotics have transformed modern medicine in manifold ways. However, the misuse and over-consumption of antibiotics or antimicrobials have led to the rise in antimicrobial resistance (AMR). Unfortunately, robust tools or techniques for the detection of potential loci responsible for AMR before it happens are lacking. The emergence of resistance even when a strain lacks known AMR genes has puzzled researchers for a long time. Clearly, there is a critical need for the development of novel approaches for uncovering yet unknown resistance elements in pathogens and advancing our understanding of emerging resistance mechanisms. To aid in the development of new tools for deciphering AMR, here we propose a machine learning (ML) based framework that provides ML models trained and tested on (1) genotypic AMR and phenotypic antimicrobial susceptibility testing (AST) data, which can predict novel resistance factors in bacterial strains that lack already implicated resistance genes; and (2) complete gene set and AST phenotypic data, which can predict the most important genetic loci involved in resistance to specific antibiotics in bacterial strains. The validation of resistance loci prioritized by our ML pipeline was performed using homology modeling and in silico molecular docking.

Student loan debt continues to be an issue in the U.S., with potential long-term effects on loan repayment and potential wealth accumulation. In particular, minorities face barriers in the educational system and accruing wealth. Hispanics occupy a middling position in the U.S. racial hierarchy. Using the National Longitudinal Survey of Youth 1997 geocode data, in this study I examined how Hispanic-White differences in student debt change over time and how student debt influences wealth. In addition, I accounted for immigration status via parents' nativity status to investigate debt burdens and subsequent wealth for these respondents. I used hierarchical linear growth models to examine debt growth over time and linear decomposition to examine Hispanic-White differences in wealth accumulation and the impact of student debt on these differences. While findings were largely statistically insignificant, I found that Hispanics tended to start with less debt than their White counterparts and that student debt initially grew for both groups. However, White respondents pay off their debt more quickly than Hispanics. In addition, I found that the wealth gap between White and Hispanic respondents grew significantly between the ages of 20 and 35. While Hispanics tended to start with less debt, my findings suggest that …

This dissertation examines how the state-building process relates to civil-military relations and how political influence of the military affects state's conflict behavior. By doing so, this study aims to introduce a nuanced consideration of the well-known civil-military problematique, which might be summarized as the threat the military can constitute to the polity that it is created to protect. I treat this paradox by addressing the following research questions: Why do some militaries have a qualitatively higher level of influence in politics than others? Second, how does the military's influence in politics affect a state's domestic conflict behavior? And third, how does it affect state's international conflict behavior? I develop a theory that when the military is heavily involved in the state-building process, it gains an unusual place within politics, gets itself imprinted in the DNA of the state, and gains undue political power. I name such militaries as state-builder militaries and argue that such states experience qualitatively different civil-military relations, in which the military acts as an extremely Praetorian institution. I argue that state-builder militaries would be able to insulate their political power from the democratization process that the country might experience and behave as persistent interveners in politics. I …

Access Points explores the different relationships that humans have to land, focusing on the various ways that the area known as the Wichita Mountains Wildlife Refuge is used, appreciated, and preserved by disparate groups. The natural beauty of this Wildlife Refuge and its striking appearance amidst encircling plains makes it a popular destination for many groups of people, including the local rock-climbing community and generations of indigenous peoples whose connection with this land is as deep as it is longstanding. While climbing organizations have long had to negotiate access and rules regarding climbing within the park, members of the Kiowa community negotiate a much different relationship to a natural area that is now managed by the United States government. These disparate voices, identities, and ways of thinking about land all impact the modern-day Wildlife Refuge in terms of its appearance, individuals' access to the land, and the conservation efforts happening there.

This study examines the background and qualifications of plaintiff and defense experts using the H-Index score as quantification of expert background and qualifications. The goal is to better understand the similarities and differences among the professionals offering paid expert witness testimony in mild traumatic brain injury (mTBI) civil litigation. In this quantitative study, descriptive statistics include the mean and standard deviation scores for the data to support examining measures of central tendency and variance, respectively. The study includes the use of logistic regression and the Wilcoxon signed-rank test, and their statistical assumptions were tested to determine whether they would be used or if it was more appropriate to use a non-parametric test. The study included two research questions: How do the qualifications of plaintiff and defense expert witnesses in mild traumatic brain injury civil litigation compare? and to what extent does a higher h-index correlate with a favorable litigation outcome in a mild traumatic brain injury case? The findings for the hypothesis tests associated with the research questions led to the acceptance of the null hypothesis in each test. There was a lack of asymptotic significance in Hypothesis 1 and a lack of significance in Hypothesis 2. The findings from …

Emotion dysregulation and rumination are involved in the development, maintenance, and treatment of both posttraumatic stress disorder (PTSD) and sleep disturbances. We examined if and how these factors influenced the nature of the relationship between PTSD symptom severity and subjective sleep disturbances among trauma-exposed individuals. Using data gathered from a community sample of 199 trauma-exposed individuals (Mean age = 35.48; 59.80% female), we examined whether there were stronger significant associations between greater PTSD symptom severity and poorer sleep quality/lower sleep quantity at higher (vs. lower) levels of (1) negative emotion dysregulation and positive emotion dysregulation (both included in the same model) and (2) rumination. Participants recruited via Amazon's Mechanical Turk completed the PTSD Checklist for DSM-5, Brief Version of the Difficulties in Emotion Regulation Scale, Difficulties in Emotion Regulation Scale – Positive, Ruminative Thought Style Questionnaire, and sleep quality/quantity items from the Pittsburgh Sleep Quality Index. Results of simple and additive multiple moderation analyses showed that neither negative/positive emotion dysregulation nor rumination moderated the relationships between PTSD symptom severity and sleep quality/quantity. Exploratory analyses showed that negative emotion dysregulation (when examined independently) moderated the relationship between PTSD symptom severity and sleep quality. There were also significant associations between poorer sleep …

Guided by the framework of bicultural identity integration (BII), a conceptual model depicting the direct and indirect effects of BII, cognitive flexibility, affect regulation, and coping on psychological wellbeing indicators (i.e., life satisfaction, depression) of adult children of immigrants (ACI) in the U.S. was developed. It was hypothesized that greater BII would contribute to greater cognitive flexibility and affect regulation, which would be associated with more utilization of adaptive coping strategies and greater psychological wellbeing. A total of 240 young ACI from across the U.S. completed the online research questionnaire that measured all variables of interest. Results from structural equation modeling analyses showed adequate model fit with the data. Findings provided support to the indirect effects of BII factors on wellbeing through affect regulation, however, the indirect effect paths are more complicated than what were hypothesized originally. Specifically, higher levels of identity harmony and identity blendedness contributed to more difficulties in emotion regulation, and subsequently, poorer wellbeing. Additionally, both cultural identity harmony and identity blendedness contributed to greater levels of cultural and relational maintenance strategies (i.e., avoidance, forbearance) in the context of intergenerational conflict through affect regulation, but not through cognitive flexibility. Notably, the latent variable of cultural coping strategies …

To design high pressure fuel system components that resist wear and scuffing failure when operated in low viscosity fuels, a comprehensive study on the tribological performance of various existing coating materials is necessary. This thesis aims to provide the relative performance of a variety of coating materials across different fuel environments by testing them in conditions that model those experienced in fuel pumps. The relative performance of these coatings are then indexed across a variety of material properties, including hardness, elastic modulus, wettability, and the interaction between the surface and the various types of fuel molecules.

Ultrafast charge and electron transfer, primary events in artificial photosynthesis, are key in solar energy harvesting. This dissertation provides insight into photo-induced charge and electron transfer in the donor and acceptor constructs built using a range of donor and acceptor entities, including transition metal dichalcogenides (TMDs, molybdenum disulfide (MoS2), and tungsten disulfide (WS2)), N-doped graphene, diketopyrrolopyrrol (DPP), boron-dipyrromethene (BODIPY), benzothiadiazole (BTD), free base and metal porphyrins, zinc phthalocyanine (ZnPc), phenothiazine (PTZ), triphenylamine (TPA), ferrocene (Fc), fullerene (C60), tetracyanobutadiene (TCBD), and dicyanoquinodimethane (DCNQ). The carefully built geometries and configurations of the donor and (D), acceptor (A), with a spacer in these constructs promote intramolecular charge transfer, and intervalence charge transfer to enhance charge and electron transfer efficiencies. Steady-state UV-visible absorption spectroscopy, fluorescence and phosphorescence spectroscopies, electrochemistry (cyclic voltammetry (CV) and differential pulse voltammetry (DPV)), spectroelectrochemistry (absorption spectroscopy under controlled potential electrolysis), transient absorption spectroscopy, and quantum mechanical calculations (density functional theory, DFT) are used to probe ground and the excited state events as well as excited state charge separation resulting in cation and anion species. The current findings are useful for the increased reliance on renewable energy resources, especially solar energy.

Modern machine learning techniques focus on extremely deep and multi-pathed networks, resulting in large memory and computational requirements. This thesis explores techniques for designing efficient convolutional networks including pixel shuffling, depthwise convolutions, and various activation fucntions. These techniques are then applied to two image processing domains: single-image super-resolution and image compression. The super-resolution model, TinyPSSR, is one-third the size of the next smallest model in literature while performing similar to or better than other larger models on representative test sets. The efficient deep image compression model is significantly smaller than any other model in literature and performs similarly in both computational cost and reconstruction quality to the JPEG standard.

This study sought to better understand the experiences of individuals with a chronic health condition utilizing telemedicine during the first twelve months of the COVID-19 pandemic. To do this, an online survey was advertised in two private Facebook support groups for individuals with adrenal insufficiency; a chronic health condition that requires frequent communication with healthcare providers. The survey consisted primarily of closed-response questions which examined the demographic data of respondents, their access to healthcare providers, their comfort levels accessing healthcare providers, and the number of times individuals sought healthcare during the first twelve months of the COVID-19 pandemic to try and predict their preference for telemedicine and in-person healthcare visits going forward. Additionally, the survey included open-response questions which allowed for respondents to describe their experience utilizing telemedicine during the first twelve months of the COVID-19 pandemic. Most respondents described their use of telemedicine as being positive but have indicated there are some health circumstances in which telemedicine may not be the best option for them. Additionally, findings indicate that individual's comfort level in visiting their healthcare providers in-person during that first year of the COVID-19 pandemic is a significant predictor of an individual's preference for telehealth. This gives future …

The purpose of this research is to explore the synthesis of folk and Western traditions in Kazhgaliev's Piano Concerto No. 2 and also to examine the uncommon performance practices associated with the genre. The dissertation gives a brief historical background of Kazakhstan, its folk music, and the significance of the country's piano performance practice. It mainly discusses Kazhgaliev's concerto, which is influenced by folk music. I hope that the dissertation will assist in the promotion and comprehension of the Kazakh piano repertoire among international musicians, researchers, and performers.

The novelty of this dissertation is the optimization and acceleration of deep neural networks aimed at real-time predictions with minimal energy consumption. It consists of cross-layer optimization, output directed dynamic quantization, and opportunistic near-data computation for deep neural network acceleration. On two datasets (CIFAR-10 and CIFAR-100), the proposed deep neural network optimization and acceleration frameworks are tested using a variety of Convolutional neural networks (e.g., LeNet-5, VGG-16, GoogLeNet, DenseNet, ResNet). Experimental results are promising when compared to other state-of-the-art deep neural network acceleration efforts in the literature.

Cultural landscape reports (CLR) are commonly utilized by the National Park Service to define the significance of cultural landscapes. This thesis explores the importance of documenting not only physical characteristics of cultural landscapes, but the cultural elements such as associated values, beliefs, ideas, and traditions. My applied research was conducted for Mammoth Cave National located in Mammoth Cave, Kentucky and focuses on the Crystal Cave District. Research explores data collected through archival research, a PPGIS exercise, and ethnographic interviews to examine the experiences and relationships between research participants and the Crystal Cave District. Research findings highlight the ways in which concepts such as place, history, identity, and tradition can act as significant factors in shaping environmental relationships today.

The purpose of this mixed methods study was to identify the types of technologies teachers use in mathematics classrooms and how those technologies were implemented. Furthermore, the purpose of this study was to explore teachers' perceptions of the impact technology has on student achievement. This study explores teachers' perceptions of the available support teachers have for integrating technology in mathematics classrooms. Last, this study explores teachers' perceptions of being prepared to integrate technology into mathematics classrooms. Surveys were conducted for a quantitative approach on teachers' perceptions of technology in teaching and learning. Semi-structured interviews were conducted, and data was analyzed through item-analysis and coding to identify emerging themes. For each topic of inquiry, themes emerged. The themes were discussed in detail, findings were discussed, and recommendations were provided for supporting teachers to integrate technology into mathematics classrooms.

A modified, single error-correcting, and double error detecting Hamming code, hereafter referred to as modified SEC-DED Hamming code, is proposed in this research. The code requires fewer logic gates to implement than the SEC-DED Hamming code. Also, unlike the popular Hsiao's code, the proposed code can determine the error in the received word from its syndrome location in the parity check matrix. A detailed analysis of the area and power utilization by the encoder and decoder circuits of the modified SEC-DED Hamming code is also discussed. Results demonstrate that this code is an excellent alternative to Hsiao's code as the area and power values are very similar. In addition, the ability to locate the error in the received word from its syndrome is also of particular interest. Primitive polynomials play a crucial role in the hardware realizations for error-correcting codes. This research describes an implementation of a scalable primitive polynomial circuit with coefficients in GF(2). The standard cell area and power values for various degrees of the circuit are analyzed. The physical design of a degree 6 primitive polynomial computation circuit is also provided. In addition to the codes, a background of the already existing SPX GCD computation algorithm is …

Novel tissue mimicking materials have been developed for cancer treatment research. In the present research work, the tissue mimicking material is printed using 3D bioprinting technology. The nanoparticles are homogeneously mixed with tissue mimicking materials to enhance the heating capacity. The thermal conductivity of tissue mimicking materials is measured using a micropipette thermal sensor (MTS). Further, the optimal value is identified based on optimization technique and incorporated into a theoretical model to predict the surface temperature of microsphere. The heat conduction governing equation with Lambert law is numerically solved using COMSOL Multiphysics software. To validate the present simulation results, the experiments are conducted using a continuous laser system.

Mikhail Glinka (1804-1857) is widely recognized as a founding father of Russian classical music, but in fact, his music represents a bridge: it establishes a distinctive Slavic sound built on the Italian roots of Glinka's musical inspiration. As a young man, Glinka traveled abroad, which included three years spent in Italy, where he gained extensive exposure to and familiarity with what modern scholarship refers to as the Old Italian School of Singing. This influence makes his songs an ideal introduction to Russian lyric diction while reinforcing the tenets of sound vocalism. This study explores four Glinka melodies: "Doubt ," "To Molly," "The Lark," and "Cavatina." Previously published only in their original keys, the songs are presented here transposed into keys suitable for a young bass and a young baritone singer, with the melody line placed in the bass clef and corresponding IPA transcriptions beneath the original Cyrillic text. Following both an introduction that contextualizes Glinka as a composer enamored of 19th-century Italian opera and a discussion of technical and stylistic aspects regarding the production of sound in that same era, there is a brief examination of Russian lyric diction intended to inspire further study of this unique and rewarding singing …

Cardiovascular disease (CVD) is the leading cause of death internationally. Efforts to decrease CVD death has been explored through stem cell technology, specifically organoid formation. Current cardiac organoid models lack the vascular networks for nutrient supply and maturation. In this study, pillar perfusion technology is used to fabricate cardiac organoids and induce vascularization via dynamic culturing and the addition of vascular promoting growth factors (GFs). In addition to this study, a millifluidic chip is engineered for shear stress application via flow simulations and experimental flow analysis. We successfully optimized the millifluidic chip to achieve fluid shear stress of 20mPa and validated through particle tracking velocimetry using 0.1um diameter beads under flow. The results of cardiac organoids displayed contraction and growth of endothelial cells (ECs) under dynamic flow with GFs. In addition, smooth muscle cells (SMCs) displayed growth via GFs in both dynamic and static culturing. Although vascular networks were not present in all conditions of this experiment, this thesis can serve a basis for searching other methods of inducing vascularization.

In the late 19th century, Georg Schumann (1866-1952) composed an attractive sonata for the cello that remains largely unknown today. By presenting a performer's analysis, this dissertation aims to position Georg Schumann's Sonata for Cello and Piano in E minor, Op. 19 (1898) amongst other more commonly performed sonatas of the era. This paper provides a detailed analysis of each movement of the sonata, an overview of the history and development of the cello sonata and an overview of Georg Schumann's biography leading up to the composition of his cello sonata.

Modern flute pedagogy tends to focus on repertoire which utilizes or builds upon tonal and Romantic stylistic conventions, largely ignoring works that disregard or reject these conventions until later in student's education. This lack of stylistic diversity in commonly studied works from the first half of the twentieth century can be problematic when students are approaching avant-garde or modernist repertoire for the first time, as they are unfamiliar with the style and technical needs of the pieces. This dissertation provides a style guide and progressive curriculum for the avant-garde repertoire of the early- and mid-twentieth century to help students bridge the gap from commonly-studied early-twentieth century repertoire to Post-War Modernist works. The curriculum and style guide are accompanied by an overview of avant-garde musical styles prominent in Europe and American between the 1890s and 1970s, a discussion of the pedagogical challenges of avant-garde repertoire, and two performance guides for avant-garde pieces included in the curriculum, Diaphonic Suite No. 1 by Ruth Crawford and Variations for Solo Flute by Ursula Mamlok.

This study explores information seeking behavior of second-generation Muslim immigrants utilizing factors such as critical, cultural, and religious literacy skills. The study examined the second-generation immigrants' ability to balance their parents' and grandparents' native culture and traditions with the culture and traditions of their country. The interview questions were designed using the cognitive authority theory and the figured worlds theory that provides an explanation for the mentality of those who are in environments influenced by culture or religion. An interesting main finding of the study is that participants sought more religious-based rather than culturally-based information. Participants seek information from their parents, communities, and religious leaders, but are particular with who they consider credible and reliable; if the person providing the information follows a similar lifestyle to the participants, they are more likely to hold cognitive authority. Four different themes emerged from the study. The first is "religious focus" where many participants stated that religion is rather static whereas culture can evolve and change with time, location, and events. The second theme emerged is the reliance on family members for religious literacy given the close upbringing of Muslim extended family system. The third theme indicated that although information seeking behavior relied …

The goal of this work is to improve the robustness and generalization of deep learning models, using a similar approach to the unsupervised "innate learning" strategy in visual development. A series of research studies are presented to demonstrate how an unsupervised machine learning efficient coding approach can create filters similar to the receptive fields of the primary visual cortex (V1) in the brain, and these filters are capable of pretraining convolutional neural networks (CNNs) to enable faster training times and higher accuracy with less dependency on the source data. Independent component analysis (ICA) is used for unsupervised feature extraction as it has shown success in both applied machine learning and modeling biological neural receptive fields. This pretraining applies equally well to various forms of visual input, including natural color images, black and white, binocular, and video to drive the V1-like Gabor filters in the brain. For efficient processing of typical visual scenes, the filters that ICA produces are developed by encoding natural images. These filters are then used to initialize the kernels in the first layer of a CNN to train on the CIFAR-10 dataset to perform image classification. Results show that the ICA initialization for a custom made CNN …