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    Moving Toward Language Acquisition: Adapting and Applying Laban Movement Analysis in the English as an Additional Language Classroom

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    This dissertation investigates how Laban Movement Analysis (LMA), a system developed by twentieth-century dance theorist, Rudolf Laban, can be adapted and applied toward the goal of language acquisition in an international high school English as an Additional Language (EAL) classroom. More specifically, I argue that the study of LMA categories (body, effort, space, and shape) can be adapted as a method for use at a Swiss boarding school with the goal of improving spoken and nonverbal communication, reading comprehension, and writing. My experience as both a dance and writing educator informs my research. LMA is not to be confused with the more complicated and esoteric system of dance documentation called Labanotation. Rather, LMA is taught to movement specialists at the beginning of their careers across many fields whereas Labanotation requires years of training to successfully read and write. LMA consists of simple vocabulary and shapes that are much more relevant to students of EAL than is Labanotation, which would likely be considered inaccessible or unintelligible to high school students. Additional goals of the case study include mapping patterns across language groups and promoting cultural awareness, encouraging empathy, and reducing insensitive language by drawing attention to movement. Given the lack of prior research connecting LMA and English language learning, a pedagogical experiment in this area is warranted. Participants in this case study include 43 high school students (ages 16-19 years) enrolled in three advanced-level EAL courses at The American School in Switzerland, a private, co-educational international boarding school. I gather data in the form of online questionnaires, written class work, and videotaped performances with the permission of participants via Institutional Review Board approval, serving as the students’ main English instructor. Possibilities for future research, exploration, and development on a larger scale are also considered at the study’s conclusion. Ultimately, this dissertation serves as a precedent and point of departure for broader, more far-reaching studies in language learning and acquisition

    Microelectrode Arrays for Chronic Neural Recording

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    Neural interfaces are advanced devices that enable communication between neurons in the brain or peripheral nervous system and external systems like computers or prosthetic devices. These devices can be used to treat a variety of diseases, such as epilepsy or Parkinson’s, and restore lost motor function through stimulation or the use of prosthetics. Two primary issues with currently used neural interfaces for chronic implantation are the degradation of the insulation and conductive materials and the response of the body to the devices, which is called the foreign body response (FBR). To provide a possible avenue for the improved chronic functionality of neural interface devices, the work in this dissertation explored the use of amorphous silicon carbide (a-SiC) as a platform for device fabrication using thin film fabrication techniques. To examine chronic functionality, 8 μm thick and 20 μm wide a-SiC devices with sputtered iridium oxide film (SIROF) electrode coatings were implanted into rat motor cortex for a period of 16 weeks. Devices were characterized using electrochemical assessment and single-unit action potential recordings. Electrochemical measurements revealed that the devices were chemically and electrically stable over 16 weeks in cortex. Single-unit action potentials were recorded on approximately 90% of channels 1 week after implantation, 75% of channels 13 weeks after implantation, and 50% of channels 16 weeks after implantation. Immunohistochemistry performed after the study revealed a depth dependent foreign body response to the devices. Regions closer to the pial surface were found to have more FBR than deeper regions, where deeper regions were at times indistinguishable from contralateral sham slices. Neuronal cell bodies were shown to be close to the devices at all depths of interest. Sputtered ruthenium oxide (RuOx) electrode coating films were also explored in vivo in a 6-week study in rat motor cortex. RuOx films were deposited in place of SIROF on a-SiC devices. Again, devices were measured using electrochemistry and neural recordings. RuOx devices displayed electrochemical stability over 6 weeks. These devices were able to record single unit action potentials on approximately 75% of channels at week 1 and remained at 75% of channels at week 6. This dissertation also explored the viability of using tantalum (Ta) metal deposited by DC magnetron sputtering as a possible interconnect layer in neural interface devices. Properties of Ta were measured both with and without a priming layer of Ti on a-SiC. It was found that it is possible to preferentially differentiate Ta crystallographic phases based on the priming layer leading to the preferential formation of a high electrical conductivity Ta film. Lastly, this dissertation explored the electrochemical and morphological properties of titanium nitride (TiN) films as a function of film thickness. Thin TiN films had charge injection capabilities similar to noble metals such as platinum. It was also observed that TiN benefits from anodic biasing for use in stimulation, further increasing charge injection capacity

    Atomic Layer Deposition Application in Interconnect Technology: From Material Understanding to Area Selective Deposition

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    Atomic layer deposition (ALD) technique has been widely employed in the semiconductor industry. As the devices continuously scaling down to sub 3 nm, SiOx and SiNx thin films, for applications such as a spacer or an etch stopper, are expected to satisfy stringent requirements (e.g., precise thickness control, high bulk film density, high wet-etch resistance, conformality, and lowthermal budget) in the current back-end-of-line process. Besides the film qualities, challenges in the current “top-down” approach also need to be addressed to reduce the size of the devices. Moreover, the lack of a fundamental understanding of surface chemistry using in-situ characterization can further impede future interconnect technology. This dissertation focuses on the application of the ALD process for current and future interconnect technology applications. The first study is ALD of high-quality SiOx and SiNx films with lowtemperature feasibility. With the structural modification of conventional Si precursors (e.g., the addition of ligand or substitution of terminating groups), the molecular polarity of precursors is changed, resulting in the improvement of surface reactivities. By leveraging the unique structure of the Si sources, the film deposition at low temperature with enhanced film properties can be achieved. Secondly, this dissertation further identifies the correlation between the metal surface condition and physical/chemical stability of passivation materials in application to the areaselective deposition process. Using in-situ reflectance absorption infrared spectroscopy (RAIRS), X-ray photoelectron spectroscopy (XPS), and high-resolution TEM analysis, the issues arising with poor ALD selectivity are identified. After analyzing the issues, the potential solution to provide a high-quality SAM monolayer is demonstrated. Lastly, a cleaning process using a noble metal cleaning agent, in which a clean metal surface at low temperature (< 200 o C) can be achieved, is developed. The unique cleaning process could pave the way for the implementation of the consecutive organic-free area-selective-deposition process

    Holistic Efficiency and Determinism for Autonomous Embedded Systems

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    Autonomous Embedded Systems (AES), where software and embedded hardware components work in tandem to autonomously sense and/or manipulate the physical world, have become increasingly more sophisticated in the past decade, culminating in the emergence of complex systems such as autonomous vehicles. Often, the complex design makes it difficult to effectively test and verify these systems, potentially causing unpredictable and unintended behavior. In addition, AES have design constraints such as Space, Weight, and Power (SWaP) limitations, and generally need to conform to many safety requirements and regulations. Often, these constraints and requirements contradict each other. For example, more accurate control methods could result in safer operation, yet, increase energy consumption. These contradictions could result in a suboptimal design. This dissertation attempts to take a constructive step towards more testable, energy-efficient, accurate, and timing-predictable AES. It is recognized that AES are constructed from multiple layers of software and hardware components. Adhering to the overall design goals of the system requires solving unique challenges and trade-offs for each layer. At the application layer, it is recognized that the emergence of Deep Neural Networks (DNNs) imposes the biggest challenge for modern AES. DNNs in AES must be energy-efficient, accurate, and timing-predictable (where temporal constraints are honored), three goals that often contradict each other. We take an incremental approach to solving this multidimensional optimization problem. First, PredJoule is presented, a framework that is capable of meeting energy consumption goals at runtime while meeting temporal constraints for DNN tasks. Second, ApNet is presented that allows for the system to dynamically adjust DNN accuracy to honor temporal constraints. Finally, NeuOS is presented. NeuOS is a framework that is built upon the insights and techniques of PredJoule and ApNet, but allows the system to optimize energy consumption and accuracy at the same time, while ensuring timing-predictability at runtime for multiple DNN tasks. At the hardware level, it is recognized that memory is a limited and contentious resource that is often shared across multiple processors and accelerators on a single System-on-Chip (SoC). Limitations in memory (both in terms of space and bandwidth) can make the system unstable and cause critical tasks to take longer to execute or fail, even with modern techniques such as on-demand memory swapping. To offer a more predictable alternative for AES, ResCue is presented. ResCue can take over the memory management task in AES, bringing data in and out of memory in a manner that guarantees timing-predictability. Finally, the focus is turned to the middleware, a layer that sits in-between the application and the hardware layers. Using a modern and complex open-source autonomous driving software, Autoware.Auto, as a case study, it will be empirically shown that the middleware can cause subtle, but critical unpredictable behavior that is normally hard to detect. Moreover, it will be shown that the middleware used in Autoware.Auto lacks the ability to offer strong consistency, leading to an untestable system. To offer a concrete remedy, Xronos is proposed, based on Lingua Franca. Xronos is a framework with a semantic notion of time and built-in coordination mechanisms that preserve strong consistency as well as temporal semantics in modern distributed AES

    Deformation Analysis of TPU Structures and Actuation Using SMA Coils for a Prosthetic Finger

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    This thesis focuses on experimental study on the use of coiled shape memory alloy (SMA) and Peltier plates for robotic finger actuation, their manufacturing and design, and the relationships between input magnitudes and output results such as finger joint angles. A fundamental flexible structure based on cantilever beam that is 3D-printed using thermoplastic polyurethane (TPU) is studied both experimentally and via simulations. The experiments for robotic finger actuation with the use of coiled shape memory alloys and Peltier plates were all based on prior studies. However, here extensive open loop characterization study has been conducted to understand the system. First, we will go into the data that was acquired through characterization experiments for some pre-made cantilever beams. This will help give us a better understanding on the movement and characteristics of the robotic finger that is discussed in this work. Specifically, the bending properties of a robotic finger that is actuated by coiled SMA and its characteristics in response to change in amplitude of current and heating time. Next, TPU cantilever beams were simulated using CAD analysis software package, such as SolidWorks, to determine deflection in response to tip load. Structural analysis and frequency analyses were performed. The simulation results were compared with experimental results and good agreement in terms of the trend of the angles as the loads were varied. Instead of a solid geometry, we used a serrated structure that resembles the 3D printed structure. This modification was made because the advanced 3D printed used for the fabricated structures resulted in irregular surface finish of the structure. Finally, discussion on results and future improvements will be explained

    Essays on Entrepreneurship: Initial Public Offerings and Venture Capital Financing

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    This dissertation investigates initial public offerings (IPOs) and venture capital financing, two widely studied topics in the entrepreneurship domain. In each of the three chapters, I delve into each topic by exploring a relatively unique aspect of a phenomenon. In Chapter 1, I explore the case when investing in a distant industry, an agent in a network consisting of directional ties may suffer a decline in performance due to its lack of industry-specific knowledge. Empirically testing a population of venture capital (VC) firms spanning the entirety of Chinese VC history from 1991 to 2017, supplemented by qualitative interviews with VC partners, Chapter 1 finds that not every contact in such a network is able to advise the agent (the focal lead VC) equally well, because contacts connected by different tie types possess different industry-specific knowledge and tie directionality affects the likelihood of having contacts that possess needed knowledge. Specifically, the focal lead VC benefits more from contacts connected by outward ties than inward ties, while contacts connected by reciprocal ties provide the most informational benefits

    Performance Analysis and Scope of Residue Number System in Digital Computing and Hardware Security

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    The Residue Number System (RNS) has become increasingly popular in digital signal processing and cryptography due to its innate parallelism and inherent non-linearity. RNS represents numbers as remainders when divided by chosen moduli and enables parallel processing, leading to efficient arithmetic operations. However, it requires computationally expensive conversions and careful selection of the moduli set to avoid precision loss and deal with overflow issues. In the field of hardware security, RNS is an attractive proposition because of its highly non-linear transfer function that makes it difficult for attackers to model or predict the behavior of the system. In this thesis, the scope of RNS in both efficient computing and hardware security has been analyzed thoroughly. The application of RNS in building a fast throughput Multiply and Accumulate (MAC) block through parallel processing has been demonstrated in a 65 nm CMOS process, where post-layout performance evaluations of the proposed RNS MAC demonstrate a 17% improvement in latency with an area-power consumption overhead of 12% when compared to the traditional binary MAC. Moreover, the promising aspect of the highly non-linear RNS in building a secure PUF has also been examined rigorously by carrying out ML attacks against different behavioral PUF circuit configurations

    Polymeric Encapsulation of Vaccines for Enhanced Immunogenicity

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    Vaccines have been used for hundreds of years to provide protection against infectious diseases. Early vaccine formulations provided strong protection as they were highly immunogenic but were hindered by harsh associated side effects. In an attempt to improve the safety profiles of vaccines, isolated components of pathogens were used instead of live-attenuated or whole-cell formulations. These subunit vaccines were much more tolerable but were unfortunately less effective at providing protection. To overcome this, several methods to adjuvant vaccines have been investigated. One method is to improve cellular uptake of subunit antigens by the components of the innate immune system, specifically antigen presenting cells (APCs) whereas another is to prolong exposure of the antigen to the immune system via an antigen depot. Both of these mechanisms have been effective in inducing long-lasting immunity via activation of T-cells and B-cells. Herein a class of polymeric scaffolds, metal-organic frameworks (MOFs), have been employed to improve both APC uptake of model vaccines and provide an antigen depot. This has been shown to improve the immunogenicity of immunoadjuvants, subunit antigens, and wholecell vaccines

    A Novel Immune-interactive Surface Coating Approach to Induce Implant Osseointegration in Diabetic Conditions

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    Titanium (Ti) orthopedic devices are often used to restore the function of damaged bones. However, reciprocal effects between implant surfaces and tissues can affect the success and performance of the implant due to corrosion, micro motion, dislocation, infection, or the inflammatory response of surrounding tissues. Additionally, diabetic patients receiving implants exhibit higher rates of implant failure due to impaired osseointegration and systemic complications compared to non-diabetic patients, which contribute to poor outcomes in orthopedic treatments, such as fracture healing. Because there is an increasing diabetic population that will require the use of implants, there is an urgent need to determine underlying mechanisms of diabetes-induced poor osseointegration and bone repair. Retrieved implants and in vitro testing of discs in simulated diabetic environments were first analyzed to understand how diabetes affects Ti implant surfaces. All retrieved implants have some degree of surface damage (pitting attack, discoloration, scratches, delamination, etc.). Therefore, the goal of this dissertation was to develop a coating that mitigates failure modes and improves the predictability of implants in immunocompromised conditions. Two multifunctional dicationic imidazolium-based ionic liquids (IonLs) containing phenylalanine (1,10-bis(3-methylimidazolium-1-yl)decane diphenylalanine) and methionine (1,10-bis(3-methylimidazolium-1-yl)decane dimethionine) were first investigated as thin films to prevent direct adsorption and temporarily immobilize exogenous proteins on Ti surfaces. The selected protein for this study was High Mobility Group Box 1 (HMGB1), which has been shown to be involved in the recruitment of inflammatory and mesenchymal stem cells to implantation sites, contributing to healing and implant integration. The optimal IonL coating was chosen based on in vitro and in silico analysis. It was demonstrated that HMGB1 is stable when anchored by the IonL containing phenylalanine, which prevents protein denaturation from surface adherence. However, HMGB1 is redox sensitive and exists in different isoforms (fully- reduced HMGB1 (FR), a recombinant version of FR resistant to oxidation (3S), disulfide HMGB1 (DS) and inactive sulfonyl HMGB1(SO)), that can each have distinct biological functions in health and disease. Each isoform was applied to the IonL-Phe thin film and implanted subcutaneously to assess the inflammatory effects of surrounding tissues in response to the coating. From these studies, the 3S HMGB1 was selected as the most favorable with regard to tissue healing, to be further applied to orthopedic implants in a model of open reduction fracture fixation (ORIF) in tibias of diabetic rats. This coating conformation (Ti-IonL-HMBG1) was then used in the ORIF model to assess the fracture healing and osseointegration potential in diabetic and normoglycemic conditions. Overall, the results for the new coating pointed to beneficial outcomes in fracture healing of diabetic rats, achieving healing parameters comparable to non-diabetic rats. Altogether, this dissertation demonstrates the design and assessment of ionic liquid and exogenous HMGB1 as an immunomodulatory coating to improve osseous healing in diabetic conditions

    200-400 GHz Antennas in Integrated Circuits Incorporating Packaging Effects

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    There is an increasing demand for wider bandwidth in high data rate applications. Using frequency bands in the sub-millimeter wave and terahertz (THz) range allows for a significant improvement of fractional bandwidth. The rise in operational frequency translates to reduced wavelengths, which are comparable to the dimensions of the integrated circuits (ICs). This has made the integration of antennas on a chip or within a semiconductor package possible. Presented in this dissertation is a “simple” bond-wire antenna intended for operation at 180-GHz. At 178.3 GHz, a gold bond wire shaped in a half loop and terminated on a bond pad of a neighboring chip exhibits a measured peak gain of 2.5 dB at the = 90° plane. The antenna also exhibits > 20-GHz measured −10-dB |S11| bandwidth. These measured results compare favorably with the simulated results. This is the first bond-wire antenna (operating at 180-GHz) that can be used for wireless communication in the broadside direction (perpendicular to the IC). A 300-GHz on-chip patch antenna is also presented and the effects of semiconductor packaging on the antenna performance are explored. Full-wave simulations of the rectangular patch antenna, compliant with the metal stack and design rules of a 65-nm complementary metal– oxide–semiconductor (CMOS) process, are implemented. The simulated results show an increase of 13% in radiation efficiency, an increase of 1 dB in peak antenna gain, and a 7-GHz −10-dB |S11| bandwidth improvement, upon encapsulation within a quad-flat no-lead (QFN) package compared to one without encapsulation. Measured results (within a QFN package) of a 276-GHz CMOS signal generator with the same on-chip antenna, show ∼6 dB higher effective isotropic radiated power over that of an unpackaged chip, corroborating the simulation results. A technique to improve the efficiency, gain and impedance bandwidth of on-chip planar patch antennas, using the encapsulation material, is thus presented and design guidelines are suggested for future planar on-chip antenna implementation. An E-shaped patch geometry is simulated to demonstrate the improvement of impedance bandwidth and gain over a rectangular patch. The −10-dB |S11| bandwidth of 3 GHz for rectangular patch at 300 GHz, is improved four-fold to 12 GHz with this geometry. The peak gain also improves by ~1 dB. To further improve the gain of a rectangular patch antenna, a 420- GHz, eight-element on-chip series-fed patch antenna array is developed. This is the first array in this configuration to be implemented on chip. The measured gain at boresight matches the simulated gain of ~9 dB at 415.5 GHz. The overlapping measured and simulated radiation patterns of this antenna demonstrates the reliability of antenna designs using EM simulations at sub-millimeter wave and THz frequencies. Power input to on-chip antennas at 200-400 GHz cannot be accurately measured in the presence of probes. Preliminary simulation results presented show that root mean square voltage detectors along with a phase detector can be used to determine the antenna input impedance in-situ, thereby eliminating the use of probes for antenna measurements. The feasibility of this technique for determination of the antenna characteristics is documented

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