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Articles 541 - 570 of 10019
Full-Text Articles in Entire DC Network
Mushroom Mycelium Foam Cushioning Properties In Protective Packaging Application, Xiaojing Liu
Mushroom Mycelium Foam Cushioning Properties In Protective Packaging Application, Xiaojing Liu
Journal of Applied Packaging Research
Mycelium, the root structure of mushrooms, has a unique biology that can be leveraged to grow materials that self-assemble into complex, fully-formed structures. Mycelium-based composite material has developed quickly to commercial applications for textiles, packaging, and food industry for its unique biodegradable feature. However, there is little deep research on mycelium-based material cushion properties in protective packaging. This research fills the gap and examines and evaluates mushroom mycelium foam cushion performance. The mycelium-based composites in this research came from Ecovative company. Several groups of foams with the desired size and shape were grown in the lab. Samples’ density and weight …
The Enigmatic Taoist Relic: A Fusion Of Chinese Traditional Culture And Futuristic Imagination, Zhuoran Yang
The Enigmatic Taoist Relic: A Fusion Of Chinese Traditional Culture And Futuristic Imagination, Zhuoran Yang
Theses
The Eight Immortals is one of the representative mythological stories in traditional Chinese culture. Being a cultural creation that incorporates the ideas of local Chinese Taoism, these eight immortals and their iconic instruments, the Eight Treasures, have become symbols and emblems that have appeared as decorations on artifacts throughout the ages. This story has been rewritten into various novels, plays, movies, and even games throughout history. However, they have never broken away from a classical oriental narrative, and its dissemination has been limited to the Chinese-speaking world. And in this age of globalization, this story should have a wider audience …
A Domain-Specific Language For Accounting, Janhavi Doshi
A Domain-Specific Language For Accounting, Janhavi Doshi
Theses
Accounting can be loosely described as a set of rules and best practices for recording and reporting financial transactions. Despite the seemingly straightforward nature of these principles, implementing them through programming has proven to be complex. Currently, over 550 accounting software solutions exist, developed using more than 17 programming languages. These diverse and often fragmented solutions have led to numerous instances of fraud and errors that elude early detection due to inadequate validity checks. This study investigates the need for a unified approach by developing a Domain-Specific Language (DSL) for Accounting. The proposed DSL aims to standardize accounting practices, enhance …
Synthesis Of Uv-Blocking Titanium Oxide Films Via Remote-Type Atmospheric Pressure Plasma Cvd, Hayate Endo, Akira Shirakura, Shinya Kudo, Tetsuya Suzuki
Synthesis Of Uv-Blocking Titanium Oxide Films Via Remote-Type Atmospheric Pressure Plasma Cvd, Hayate Endo, Akira Shirakura, Shinya Kudo, Tetsuya Suzuki
Journal of Applied Packaging Research
This study aims to enhance UV resistance in plastics, focusing on polycarbonate (PC) and polypropylene (PP) commonly used in reuseable packaging. Traditional organic UV absorbers face safety and cost challenges, prompting our investigation into alternative methods. We utilized chemical vapor deposition (CVD), specifically Atmospheric Pressure Plasma Enhanced CVD (AP-PE-CVD), to apply titanium oxide (TiO2) thin films. This innovative approach, using a remote-type AP-PE-CVD technique, enables coating on complex surfaces and 3D objects. The produced TiO2 films, containing over 20% titanium, showed a UV transmittance of 14.5% at 310 nm and effective UV blocking starting at 372 nm. The …
Energetics And Passivation Of Surface Defects In Hgte Colloidal Quantum Dots, Jacob D. Eisensmith
Energetics And Passivation Of Surface Defects In Hgte Colloidal Quantum Dots, Jacob D. Eisensmith
Theses
Colloidal quantum dots (CQDs), and especially HgTe CQDs, have the potential to disrupt traditional solid-state manufacturing of sensitive infrared photodetectors. Here we produce a surface model for (111) HgTe surfaces present in tetrahedral CQDs and attempt to use density functional theory (DFT) to explore various issues in the fabrication and performance of HgTe CQD photodetectors. One such concern is the presence of mid-gap trap states that can hurt device performance. In this work, we demonstrate that an abundant source of these trap states is unpassivated mercury at the surface of the nanocrystal, which can be corrected with passivation procedures. Furthermore, …
Rural Electrification Subsidies: Quantification, Structure And Policy Implications, Lefu Maqelepo
Rural Electrification Subsidies: Quantification, Structure And Policy Implications, Lefu Maqelepo
Theses
This dissertation explores rural electrification subsidies and the policies around them, with an objective of assessing whether there are opportunities to restructure, and therefore redistribute subsidies to a larger portfolio of technology options to accelerate rural electrification and improve energy justice. Redistribution of subsidy necessitates an understanding of the amount of subsidy and how it is distributed. To do this, a quantitative modeling framework that enables for a direct comparison between grid extension and mini grid based electrification pathways based on implicit subsidy required to make connections over a system lifetime was developed and is presented. Using this framework, our …
Utilizing Exoskeletons For Intermittent Trunk Flexion Tasks: Implications On Kinematics, Stability, Muscle Activity And Fatigue, Pranav Madhav Kuber
Utilizing Exoskeletons For Intermittent Trunk Flexion Tasks: Implications On Kinematics, Stability, Muscle Activity And Fatigue, Pranav Madhav Kuber
Theses
Exoskeletons (EXOs) are wearable assistive devices that enhance workers' physical capabilities and reduce injury risk due to overexertion. However, current devices may produce mixed outcomes, and even increase demands. Factors responsible for this gap were identified and potential design improvements were proposed to improve their adoption. A subsequent systematic review showed mixed outcomes in real-world scenarios, possibly due to challenges in conducting field evaluations. A new guideline is proposed, which can be beneficial in improving the generalizability of findings in field evaluations. Low-back is injury-prone due to repetitive trunk flexion tasks, where Back-support industrial exoskeletons (BSIEs) can be beneficial. Literature …
A Mixture-Of-Experts Approach To Fine-Tuning The Segment Anything Model, Rajat Sahay
A Mixture-Of-Experts Approach To Fine-Tuning The Segment Anything Model, Rajat Sahay
Theses
The emergence of large, general-purpose foundation models has sparked significant interest in the broader machine learning community. Among the many models being released, the Segment Anything Model (SAM) has demonstrated exceptional capabilities for object segmentation in various settings. Given its expansive training data, SAM has been used for image segmentation across various downstream tasks ranging from tumour segmentation to aerial object detection. However, the majority of pretraining data used by SAM consists of naturally-occurring images, which have significantly different characteristics from images of tumours or images taken by drones. In order to align SAM to these previously unseen domains, we …
Development And Testing Of A Far Infrared Fourier Transform Spectrometer For The Calibration Of On-Chip Spectrometers, Dale Mercado
Development And Testing Of A Far Infrared Fourier Transform Spectrometer For The Calibration Of On-Chip Spectrometers, Dale Mercado
Theses
Astrophysical measurements in the far-infrared (FIR) wavelengths are crucial for a variety of astrophysical applications. These include probing the fuel for cosmic star formation, understanding the developmental cycles of protoplanetary disks, and investigating the role and composition of dust in the interstellar medium. Our collaboration is currently developing a FIR on-chip spectrometer that is operable in the range of 100-200µm, utilizing low-noise kinetic inductance detectors (KIDs). As these devices incorporate new technology, their spectral response must be measured and compared with traditional FIR optical dispersion methods. To this end, we have designed a cryogenic Fourier Transform Spectrometer (FTS) that operates …
Photonic Integrated Circuit Data Acquisition And Tunable Laser Control For Biomedical Point Of Care Systems, Maximilian Thoburn
Photonic Integrated Circuit Data Acquisition And Tunable Laser Control For Biomedical Point Of Care Systems, Maximilian Thoburn
Theses
In the world of healthcare, it has always been desirable to have a single test that can screen for multiple different patient ailments at once. Toward this end, a silicon photonics platform has been developed that uses photonic integrated circuits in combination with lasers to simultaneously perform various biological assays, i.e., to screen for biological markers in a patient’s sample. This system uses inexpensive passive flow cards with inexpensive photonic integrated circuits to create a disposable test platform that can be used in point of care environments. However, the necessary bench-top equipment to run an assay with these cards is …
General Relativistic Magnetohydrodynamics Simulations Of Outflows From Long-Lived Binary Neutron Star Merger Remnants, Allen Wen
Theses
While the landmark multimessenger observations associated with the binary neutron star (BNS) merger GW170817 confirmed the existence of merging BNS systems and their ability to generate gamma-ray bursts and kilonova emission, the exact physical processes that link hydrodynamics in the merger remnant to electromagnetic (EM) signals remains up for debate. Moreover, the uncertain lifetime of the remnant before its possible collapse to a black hole can dramatically change the physics involved in the postmerger evolution. We aim to facilitate and study energetic outflow launching in the long-lived hypermassive or supramassive neutron star remnant case by performing 3D general relativistic magnetohydrodynamics …
Inference On Neutron Star Parameters And The Nuclear Equation Of State With Rift, Using Prior Eos Information, Askold Vilkha
Inference On Neutron Star Parameters And The Nuclear Equation Of State With Rift, Using Prior Eos Information, Askold Vilkha
Theses
One of the most extreme objects in the Universe, neutron stars are the remnants of supernova explosions. A usual neutron star has a mass in the range of 0.8 − 2.4M⊙ and a radius of about 10 km. Such small radii and high masses imply extreme densities, that exceed the nuclear density ρnuc . The extreme conditions of cold ultradense matter present inside the neutron star cannot be achieved in terrestrial laboratories, so the equation of state (EOS) of such matter is not well understood. Currently, there are many theoretical models of the EOS based on nuclear physics (Quantum Chromodynamics …
Formulation, Manufacture, And Deployment Of A Sustainable Multi-Layer Agricultural Mulch Film, Yvan David Hernandez-Charpak
Formulation, Manufacture, And Deployment Of A Sustainable Multi-Layer Agricultural Mulch Film, Yvan David Hernandez-Charpak
Theses
Agricultural mulching films (AMF) increase crop yield while reducing pesticides use, meeting the needs of a growing world population. However, their disposal options have led to an intensifying and concerning problem of plastic pollution. Biodegradable mulch films are available, but adoption has been limited because of their unpredictable degradation rate, making them unreliable compared to conventional polyethylene AMF. This dissertation presents a multi-layer film structure (commonly used in the packaging industry), its manufacture, deployment in the field, and comprehensive sustainability assessment. Its structure consists of a thick middle layer of thermoplastic starch (TPS) and biochar filled-biodegradable poly(butylene adipate-co-terephthalate) (PBAT) thin …
Improvements On Model-Free Sliding Mode Control’S Implementation And Estimation Techniques, Joshua Coleman
Improvements On Model-Free Sliding Mode Control’S Implementation And Estimation Techniques, Joshua Coleman
Theses
Systems continue to grow in complexity to meet the demands of today’s society. To control severe nonlinearities and protect against errors in the system model, control methods with wider stability margins are necessary. However, most robust control methods require an increased energy cost to guarantee stability with wider margins. Furthermore, most current control methods are derived using system models, which are difficult to develop for complex systems. Model-Free Sliding Mode Control is promising in overcoming the aforementioned difficulties; the control output is only determined by the system order, previous control values, and state measurements. The control scheme’s characteristics have been …
Combined Virtual Reality And Mechanical Balance Platform System With Induced Visual Roll, Shkenca Demiri
Combined Virtual Reality And Mechanical Balance Platform System With Induced Visual Roll, Shkenca Demiri
Theses
Balance impairments are a common and widespread concern in human health. Acquired through genetics, aging, illness, or prolonged exposure to different environments such as travel by sea or travel in outer space; balance impairments pose significant challenges to those affected. Traditionally, balance studies have been largely qualitative. However, technological advancements have allowed for new methodologies to be developed for analyzing postural sway in a quantitative manner. In this thesis, custom force plate technology, an advanced inertial motion unit (IMU) motion capture system, and a mechanical motion platform, in tandem with a gamification system, were integrated to collect and analyze quantitative …
Low Cost Combined Camera And Imu Based Control For Autonomous Aerial Orientation Adjustment, Remi Mckenzie
Low Cost Combined Camera And Imu Based Control For Autonomous Aerial Orientation Adjustment, Remi Mckenzie
Theses
The goal of this research was to create a robot control system that combines gyroscope and accelerometer data with vision tracking to improve aerial orientation control performance over what could be achieved with sensor data or image processing alone. There has been significant research into the function of mobile robots that can autonomously carry out a wide range of tasks across a wide range of environments. However, the full potential of these robots has yet to be realized, especially at the hobbyist level. Air based travel allows for motion capabilities far beyond that of a robot limited to ground travel …
Towards Human-Embodied Visual Intelligence, Cheng Han
Towards Human-Embodied Visual Intelligence, Cheng Han
Theses
The rapid development of artificial intelligence (AI) in computer vision has garnered considerable attention across diverse research fields (e.g., image classification, image segmentation, object detection, optical flow, depth estimation). However, this progress is met with an array of challenges that hinder them from real-world deployments. In this paper, three major challenges are discussed: I. Low Task Generalizability. Current visual models are often specifically designed for targeted tasks, constraining their generalizability with varying adaptation scenarios; II. Weak Model Interpretability. Within the paradigm of connectionism, most of these models are frequently regarded as ``black-box'' systems, making them challenging for humans to understand …
Geo-Slam: Using Geometric Hierarchies To Support Localization And Mapping In Forest Environments, Daniel Castellarin
Geo-Slam: Using Geometric Hierarchies To Support Localization And Mapping In Forest Environments, Daniel Castellarin
Theses
Robust mapping and localization can be challenging in environments like forests where easily observable landmarks are virtually indistinguishable from each other. In such environments, GPS or robot odometry may also be compromised by the landscape, tree cover, or method of locomotion. Prior work discussed a method for creating geometric hierarchies to describe the relative positions of unlabeled landmarks. Notably, the polygons from these hierarchies were used to perform accurate place recognition from observations containing partial overlap and sensor noise. Here, we use geometric hierarchies to perform robust data association for collections of virtually identical 2D landmarks in direct support of …
Generation Z’S Perspective On Work-Life Balance: Case Of Kosovo, Lorine Bajrami
Generation Z’S Perspective On Work-Life Balance: Case Of Kosovo, Lorine Bajrami
Theses
This capstone project examines the perspective of Generation Z in Kosovo toward work-life balance by specifically looking at their preferences regarding flexibility, remote work, and the compromise of work-life balance with other work-related factors. People who are born between 1996 and 2010 belong to the Generation Z cohort, which is characterized by profound digital savviness, mental health awareness, preference for flexibility in workplace, and strong desire to balance work and personal life. The data for analyzing the Gen Z’s perspectives on life work-balance is collected through an online survey (n=174) and two focus group discussions. Global reports and existing research …
Determinants Of Youth Entrepreneurship In Kosovo, Dren Hima
Determinants Of Youth Entrepreneurship In Kosovo, Dren Hima
Theses
This research aims to analyze the determinants of the probability of youth in Kosovo becoming nascent entrepreneurs. Kosovo, a young nation with a youth demographic and post-conflict socio-economic challenges, presents a unique context for studying entrepreneurship. The study focuses on the impact of both demographic and perceptual characteristics of the youth on their entrepreneurial orientation. The empirical analysis combines secondary data with primary data collected through an online survey targeting the youth of Kosovo, aged 18-29. It assesses the impact of various factors, including gender, educational background, household income, entrepreneurial experience, and perceptual variables like opportunity perception, fear of failure, …
Implications Of Ai Adoption On Kosovo’S Tech Smes, Agullina Shllaku
Implications Of Ai Adoption On Kosovo’S Tech Smes, Agullina Shllaku
Theses
This study explores the impact of Artificial Intelligence (AI) on small and medium-sized tech enterprises (SMEs), namely the extent to which these SMEs are investing in AI technologies, and how that will impact the organizational structure of those SMEs. While most of Kosovo’s tech SMEs have started to engage with AI to some extent, the demand for such services is much lower compared to global levels. This study identifies investment strategies prominent in SMEs, as well as their initiative to internal restructuring instead of hiring. Through a mix of qualitative and quantitative data, this study generates relevant insights from employees …
Souls Of Plants, Yuanyuan Li
Souls Of Plants, Yuanyuan Li
Theses
In creating fictional relationships with organisms within the plant world, I design jewelry and wearable sculptures that heal the individual, by relating to the poetic and peaceful nature of plants. The works involve the use of metal crochet, forging, screen printing, and fabric dying to create my relationship with plants, through narrative, and nostalgic stories. These stories between me and plants began in my childhood and continue to this day.
The Effect Of Angiogenesis On Thermal Properties Of In-Vivo Human Tissue, Shriya Musuku
The Effect Of Angiogenesis On Thermal Properties Of In-Vivo Human Tissue, Shriya Musuku
Theses
Bioheat transfer is the study of heat transfer in biology. There are several sources of heat in biology including external ones such as surgical applications of heat, or internal ones like cancer tissue. Blood flow networks affect both types of processes and are often generated during disease phenomenon through a process called angiogenesis. This affects the properties of the tissue. Several attempts were made to model flow and heat transfer within various tissues through physical measurements or computer simulations. Both types of models used bioheat transfer models do not consider the geometry of vasculature at its most fundamental level. The …
Impacts Of Professional Development On Researchers, Kayleigh M. Patterson
Impacts Of Professional Development On Researchers, Kayleigh M. Patterson
Theses
In this work, I study the effectiveness of Professional development for Emerging Education Researchers (PEER) using a framework adapted from one that evaluates professional development for teachers. Professional Development (PD) is the process of learning information after one’s main school for job settings. These cover job/career specific skills that are not taught during schooling, since they are normally more specific. While a Ph.D. does set up a lot of specific skills, due to a changing research climate based on discoveries and organizational standards, there are always more skills to learn for a researcher. Therefore, there are professional development for researchers …
Designing An Animated Presentation For Educating Physicians And Patients On Opioid Addiction, Jenny Phillips
Designing An Animated Presentation For Educating Physicians And Patients On Opioid Addiction, Jenny Phillips
Theses
The devastating opioid epidemic in the United States continues to wreak havoc, especially on those suffering from opioid addiction. Regrettably, the lack of reliable treatments and understanding of this disease has hindered physicians' ability to provide adequate care. As a result, those affected often feel ashamed and reluctant to seek help due to the growing stigma surrounding opioid addiction. These barriers prevent the successful treatment of this prevalent and treatable disease. To tackle this issue, Dr. Michael Peck and his team have been essential in traveling to different communities and illustrating the truth about opioids and opioid addiction. They developed …
Iii-Nitride Nanowire Deep-Ultraviolet Light Emitting Diodes, Bryan Melanson
Iii-Nitride Nanowire Deep-Ultraviolet Light Emitting Diodes, Bryan Melanson
Theses
Deep-Ultraviolet (DUV) Light Emitting Diodes (LEDs) emitting invisible light at wavelengths below 280 nm, have seen increased research interest over the last decade. Of their many potential applications, pathogen neutralization is perhaps the most presently relevant in the post-COVID era. While the high energy light of DUV LEDs has been found particularly effective at destroying viruses and bacteria without the need for application of chemical agents, the poor efficiencies of DUV LEDs currently prevent their widespread adoption in these applications. While a number of factors contribute to the poor efficiency of DUV LEDs, light extraction is perhaps the most significant …
Ego - Acupressure Ar Glasses, Chin Yin Teng
Ego - Acupressure Ar Glasses, Chin Yin Teng
Theses
Acupressure, a time-honored healing practice rooted in traditional Chinese medicine, is known for promoting relaxation, pain relief, and overall wellness with minimal side effects. Despite its benefits, the practice involves navigating a complex system of 361 acupuncture points, posing a challenge for individuals lacking in-depth knowledge or training. Additionally, professional acupressure treatments can be costly, limiting accessibility. To address these challenges, we have developed Ego, an AR Glasses Smart Assistant designed to make acupressure more accessible and effective for the general public. Ego uses augmented reality to provide an intuitive and user-friendly interface that guides users in locating and applying …
Using Machine Learning Algorithms To Predict Outcomes Of Chess Games Using Player Data, Sofia Decredico
Using Machine Learning Algorithms To Predict Outcomes Of Chess Games Using Player Data, Sofia Decredico
Theses
Chess is a two-player game, popular with a wide variety of people, ranging from people who play casually every once in a while with their family to professional players who make their living through playing and teaching. There are three outcomes that a chess game could have: player 1 (White) wins, player 2 (Black) wins, or both players draw. Using an online database called “The Week In Chess” which contains information about 2.5 million chess games, a variety of machine learning methods are tested to predict the outcomes of chess games. The features investigated as inputs for classification are: White’s …
Towards A Net Zero University Campus, Sarah Ali
Towards A Net Zero University Campus, Sarah Ali
Theses
This report explores the greenhouse gas (GHG) emissions assessment and reduction strategy for the Rochester Institute of Technology of Dubai (RITD) campus, aiming to contribute towards the UAE's "Net Zero 2050" initiative. The study establishes a comprehensive emissions baseline for the year 2023 using the Greenhouse Gas Protocol (GHGP), incorporating Scope 1, Scope 2, and Scope 3 emissions. A dashboard was developed to continuously monitor annual emissions, facilitating data-driven decisions for sustainability. The total GHG emissions for RITD were approximately 5,245,197.68 kg CO2e. The primary sources of emissions were identified as electricity consumption (39%) and commuting (53%), which together constitute …
Clinical Validation Of Patient-Specific Inverse Modeling With Surface Temperatures And Physiological And Geometrical Factors In Breast Cancer Detection, Carlos Gutierrez
Clinical Validation Of Patient-Specific Inverse Modeling With Surface Temperatures And Physiological And Geometrical Factors In Breast Cancer Detection, Carlos Gutierrez
Theses
Breast cancer is one of the most common cancers affecting the lives of many women and taking over 683,000 lives worldwide. Early detection of breast cancer through screening has been instrumental in reducing the mortality rate. However, current screening methods based on mammography have issues with patient discomfort, invasiveness, cost and low accuracy, mainly due to dense breast tissue in approximately 40% of women population. Infrared imaging (IRI) is shown to be noninvasive, cost effective, comfortable, and not affected by breast density. The present work describes a novel patient-specific IRI inverse heat transfer algorithm based on the digital model of …