Objective: To perform a systematic review and meta-analysis on the prevalence rate of mental health disorders including anxiety, depression, and insomnia during the COVID-19 pandemic in Eastern Europe in the general population, as well as within select sub-populations (i.e., students, general healthcare workers, and frontline workers).
Data sources: Articles in PubMed,...
Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
In order to synthesize polyethylene by the microreactor with a catalyst, this thesis prepares the chemical coating layers for the reactor channel. There are two layers in the channel: the Phillips catalysts and an antimony-doped tin oxide layer on glass substrate. The Phillips catalyst help to synthesize polyethylene in the...
Simultaneous speech translation (SimulST) is widely useful in many cross-lingual communication scenarios, including multinational conferences and international traveling. Since text-based simultaneous machine translation (SimulMT) has achieved great success in recent years. The conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but suffers from...
Oxides are a versatile class of materials with a wide range of electronic, optical, and magnetic properties. This makes them ideal for use in a multitude of functional devices for oxide electronics, electrochemical conversion, and storage. The overall performance of these devices is governed by atomic scale charge and mass...
Medical professionals experience higher rates of burnout than other professions due to the highly stressful nature of their environment. In 2018, 94 percent of physicians reported experiencing burnout – characterized by emotional fatigue, and feelings of depersonalization and low personal accomplishment – at some point in their careers. As emotional...
Hop (Humulus lupulus L. var. lupulus) is a diploid, dioecious plant with an extensive history of cultivation and use in brewing, as a textile, and for its therapeutic properties. Hop is prized for its ability to produce a variety of aromatic and flavor compounds, as well as compounds with anti-microbial...
This paper discusses the fundamentals of a novel hybrid method to synthesize oxide dispersion strengthened (ODS) 304 L stainless steel (SS) alloy using a modified laser powder bed fusion (LPBF) machine. Previously, ODS metal matrix composites have been produced by LPBF via ball-milling, which is expensive to scale. Here, we selectively...
H13 components with a relative density of ∼99% were additively manufactured using the selective laser melting (SLM) process. The highest density part (relevant density 99%) with the lowest level of porosity (<0.01%) was made with a volumetric energy density of 760 J/mm3 (152 W laser power, 100 mm/s scanning speed,...
The WWC family consists of three proteins‐ KIBRA/WWC1, WWC2, and WWC3. The three proteins share a similar primary structure and interact with a common set of proteins. Each paralog contains two WW domains which recognize proline‐rich sequences of the type PPxY (P is proline, Y is tyrosine, x is any...
Wheat sharp eyespot (SES), caused by the soil-borne fungus Rhizoctonia cerealis is a common stem disease of wheat globally. The disease caused a severe and extensive epidemic throughout the Willamette Valley of Oregon in 2014 and has remained one of the most important wheat diseases in this region. However, litte...
In the past two decades, the advancement in data collection and storage have led to the accumulation of complex datasets. Consequently, various industries have sought data-driven solutions to predict and detect anomalies. Temporal patterns have emerged as potential features in prediction models that could improve the performance of the identification...
Spontaneous quasicrystal (QC) formation has not been observed in pure metals either in computation or in experiments (excluding epitaxial growth of thin atomic layers on a QC template). In this thesis work, dodecagonal QC (DDQC) grains are first discovered to spontaneously form during thermal devitrification of pure tantalum (Ta) metallic...
Non-equilibrium photocarriers in multilayer WSe2 injected by femtosecond laser pulses exhibit extraordinary nonlinear dynamics in the presence of intense THz fields. The THz absorption in optically excited WSe2 rises rapidly in the low THz field regime and gradually ramp up at high intensities. The strong THz pulses drive the photocarriers...
In this dissertation, I present experimental observations of multiply charged atomic ions (MCAI) generated from interactions of atomic/molecular clusters with moderately intense nanosecond laser pulses. This process is also known as Coulomb explosion (CE) and it has been extensively studied in intense laser fields using ultrashort pulses. Several prevailing theories...
The development of ecohydrological frameworks and theories under the ongoing global climate crisis depends on the development of new and advanced ecohydrological measurements. Currently, numerous of datasets have been collected at plot and ecosystem levels to understand the complex interactions of along the soil, plant, and atmosphere continuum. The development...
A nickel-based Hastelloy C22 powder with a nominal composition of Ni-21.30Cr-13.36Mo-1.92Co-2.94W-3.85Fe-0.23Mn-0.3V(wt%) and particle size distribution of D₁₀=23.8±0.3 μm, D₅₀=37.5±0.2μm, and D₉₀=59.3±1.1 μm was gas atomized to be used as a feedstock in Laser Powder Bed Fusion (LPBF). In this study, laser power and scanning speed were optimized to manufacture specimens...
Nanoparticles have become more prevalent from their use in sunscreen to antimicrobial agents in socks. In light of these applications, gaining a fundamental understanding of how NPs interact with humans is crucial for their future. Specifically, how cells interact with NPs and what factors drive the modes of cellular uptake....
There is an emerging interest in developing wearable electronics as a platform, which
provides the flexibility of a wearable while maintaining its promising functionality as smart textiles. Metal-halide semiconductors are attractive materials with tunable optical and electrical properties. Researchers have widely studied and applied it for advanced
photonics and optoelectronic...
Per- and polyfluoroalkyl substances (PFAS) are a broad class of anthropogenic chemicals characterized by highly stable carbon-fluorine (C-F) bonds. PFAS are widely used in industrial and consumer products for their surface-active and stain-resistant properties and are ubiquitously detected in environmental media, biota, and human biomatrices. Although some PFAS are known...
Laser Powder Bed Fusion (LPBF) is a process commonly used to create additively manufactured metal parts. The flexibility and complexity allowed by the LPBF process provides opportunity for significant advancement in multiple industries as parts can be customized in shape and function for specific needs. These benefits can be compounded...
Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
This work details the development of 3D printed TPU pneunet actuators for use in apple picking for agricultural soft robotics. These actuators increase the force capabilities of soft pneunets and simplify manufacturing. Grippers based on these actuators are ideal for apple picking because they are compliant, yet exert sufficient force...
Microplastics are widely distributed in aquatic environments. The term ‘microplastics’ encompasses a wide array of particles with unique polymer constituents, morphologies, and sources, such as automobile tire tread. Tire wear particles (TWP) can end up in waterways near densely populated municipalities, where they can interact with aquatic biota. Studying the...
Aromatic hydrocarbons represent a large class of environmental contaminants that have a broad range of structures, physicochemical properties, and toxicities. Arising from the burning of organic matter, particularly fossil fuels, they are both widespread and abundant in all environmental compartments. Both monoaromatic hydrocarbons (BTEX) and polycyclic aromatic hydrocarbons (PAHs) are...
In the 21st century, environmental deterioration is now an indisputable fact. Reliable and economically viable electricity systems based on renewable sources are urgently needed to replace the environmentally detrimental fossil fuels. The feasibility of incorporating renewable-but-intermittent solar and wind energy heavily depends on the development of cost-effective and safe technologies,...
Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
This work presents a novel CCRW receiver that utilizes a window of variable width, for e˙ectively mitigating multipath and ambiguity in both civil and military positioning applica-tions using Global Navigation Satellite Systems (GNSS). This CCRW receiver incorporates a single stroboscopic window, whose width is iteratively reduced until the e˙ect of...
The grand plan of carbon neutralization and COP26 in Glasgow require a quick shift of energy sources from conventional fossil fuel to a more renewable substitute such as wind, or solar energy. However, the intermittency of those renewable energy sources does not meet the demand of the energy, which requires...
Melanocytes are dendritic, pigment-producing cells located in the skin and are responsible for its protection against the deleterious effects of solar ultraviolet radiation (UVR), which include DNA damage and elevated reactive oxygen species (ROS). They do so by synthesizing photoprotective melanin pigments and distributing them to adjacent skin cells (e.g.,...
The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
The continued long-term use of fossil fuels as a primary energy source has resulted in dramatic increases in greenhouse gas emissions and the associated concerns of climate change and environmental pollution. A key strategy to circumvent these issues is a global shift away from fossil fuels toward renewable energy sources....
Back pain is the leading cause of disability worldwide, entailing a significant socioeconomic impact. A primary source of back pain can be attributed to intervertebral disc (IVD) degeneration allowing nerve ingrowth, facet joint arthritis, disc bulging, and osteophyte formations that press on nearby nerve roots or the spinal cord. While...
The demand for the development of sustainable energy is an all time high as we burn through limited fossil fuel reserves and as environmental concerns rise every year. Renewable energy sources such as wind and solar power have limitations due to inconsistent power supply that cannot meet the regular needs...
Wicking action refers to the movement of a liquid through a porous or a structured surface via capillary action. This phenomenon is affected by surface geometry, such as the wick thickness and pore size of the wick, as well as fluid properties, such as viscosity and surface tension of the...
Humanities have been craving more freedom and conveniences in whatever form. Carriages evolved to cars and ultimately to aircraft so that one can reach any place in the globe within a day. The mobile phone has enabled people to make a phone call without a need to find a phone...
Cross-laminated timber (CLT) is revolutionizing the use of wood in the construction sector of North America as a solution for walls and diaphragms in mid-rise or even high-rise timber structures on account of its environmental advantages, high strength-to-weight ratio, fire-safety performance, and propensity for prefabrication. However, considering the hygroscopic nature...
While the use of powered mobility devices for young children with mobility challenges has taken off in recent years following evidence that the use of powered mobility at a young age augments other traditional mobility skill interventions, the research is still limited and focuses on physical impacts more. Recently, the...
Over the last several decades, potato production has increased globally as it has been recognized as an important component to improving food security. However, potato production has been continuously challenged by pests. Current pest management practices rely heavily on chemical pesticides. Unfortunately, the overuse of pesticides can be harmful to...
Managers of forest and plantation ecosystems are encountering growing problems involving plant pathogens and the expanding geographic ranges of these pathogens. Historically unexposed stands are exceptionally vulnerable when a non-native pathogen is introduced because these pathogens can cause devastating disease in a host population that lacks co-evolved resistance mechanisms. One...
A molecular approach to metal oxides allows to the study to fundamental bonding and formation behavior for such metals. Moreover, the molecular nature of such oxides or metal-oxo clusters allows the possibility of exploitation of the properties of the parent oxides. The tetravalent metals, in specific, (M=Zr, Hf, Ce, Th,...
Advanced machine learning algorithms have the potential to be successfully applied to many areas of system modelling. In the present study, the capability of ten machine learning algorithms to predict the structural damage of an 8-storey reinforced concrete frame building subjected to single and successive ground motions is examined. From...
Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
Per- and polyfluoroalkyl substances (PFAS) are a group of contaminants of great concern due to their toxicity and ubiquity in the environment. Remediation efforts historically have focused on granular activated carbon (GAC) because of its low maintenance and relatively low cost. However, GAC is not PFAS selective and is especially...
The S-domain subfamily of receptor-like kinases (SD-RLKs) in plants is poorly characterized and the majority of genes have unknown functions. The goal of this study was to study the expansion of rice (Oryza sativa) SD-RLK subfamily, and characterize gene and protein structure and expression of its members using publicly available...
Wildfires are increasing in frequency. One area of research interest centers on the pollutants within wildfire smoke, including but not limited to particulate matter and polycyclic aromatic hydrocarbons. These chemicals are associated with exacerbation of respiratory, cardiovascular, dermatological, reproductive, oncological, gastrointestinal, and infectious conditions. As wildfires becoming increasingly prevalent, it...
Clos-based network topologies have been deployed in production data center networks to provide multiple path alternatives between the pairs of network hosts. Production data centers operate under varying traffic dynamics and topological asymmetry. Therefore, a good load balancing scheme must adapt to network conditions and dynamics in real-time and intelligently...
We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
The European hazelnut (Corylus avellana L.) is a tree nut crop that is important in Oregon, which produces 99% of the United States’ hazelnuts but only 5% of the world’s supply. In order to maintain this market share, farmers in Oregon need cultivars that produce high quality nuts, mature early,...
Ultrafast spectroscopy has recently gained momentum as a powerful, noninvasive characterization toolset capable of studying a diverse array of samples with applications in chemistry, physics, biology, engineering, and more. Two popular ultrafast spectroscopic techniques include femtosecond transient absorption (fs-TA) and femtosecond stimulated Raman spectroscopy (FSRS). The latter of these techniques...
Biological hydrogen production from renewable feedstocks was reckoned as a promising method for sustainable energy production. Bioelectrochemical hydrogen production using microbial electrolysis cells (MECs) demonstrated superiorities over the conventional methods for hydrogen production. The introduction of the membrane-less single chamber design further improved the feasibility of MECs for practical application,...
Metallic glasses (MGs), also called amorphous metals, are metals or metallic alloys trapped in a disordered glassy state. Their amorphous nature and absence of features such as crystal lattices and defects (dislocations, grain boundaries etc.) endows them with a host of properties that far surpass those of common crystalline materials....
Data centers (DCs) have been witnessing unprecedented growth in size, number and complexity in recent years. They consist of tens of thousands of servers interconnected by fast network switches, hosting and enabling numerous applications with various traffic characteristics and requirements. As a result, DC networks have been presented with several...
The Hippo signaling pathway is an evolutionarily conserved regulator of cell growth, proliferation, and apoptosis. A key function of the pathway is to regulate the subcellular distribution and activity of Yorkie in Drosophila or Yes-associated protein (YAP) and transcription co-activator with PDZ-binding motif (TAZ) in mammals. The dysregulation of the...
High Entropy Alloys (HEA) exhibit unusual properties and are gaining interest as new materials for challenging applications in the aerospace, hypersonic and medical fields. The application of HEAs have been limited by the development of powder production at scale. A recently developed process of plasma spheroidization by 6K, inc. has...
Pesticides benefit agriculture by increasing crop yield, quality, and security. However, pesticides may inadvertently harm bees, which are valuable as pollinators. Thus, candidate pesticides in development pipelines must be assessed for toxicity to bees.
Leveraging a data set of 382 molecules with toxicity labels from honey bee exposure experiments, we...
High entropy alloys (HEAs) are well known for their excellent mechanical properties compared to conventional metallic alloys. The application of High-Pressure Torsion (HPT) processing reduces grain size of materials away below 1 µm. This significant grain refinement leads to an improvement in mechanical properties, such as strength and ductility. In...
Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
The corrosion and heat resistance properties of nickel alloys are hallmarks of their importance in infrastructure and industrial catalysis processes, but these properties are highly dependent on the chemical composition of the alloy surface. Density functional theory was used for analysis of surface oxidation of four combinations of chromium and...
Radiation exposure to the brain can occur from a variety of events, including space missions, nuclear accidents, and clinical treatments. The effects of high dose radiation are well studied, but those of lower dosage are more elusive. Decline of memory and cognition is observed in patients exposed to low dose...
The utility of high-throughput, computational screening has become an invaluable asset to the field of materials science. In the hierarchy of computational methods, the most accurate methods are often the most computationally expensive. However, as both the efficiency and fidelity of numerical techniques advance, high-quality screening of large materials datasets...
The European hazelnut (Corylus avellana L.) is a diploid (2n = 2x = 22) tree crop important to the economy of Oregon’s Willamette Valley, where 99% of hazelnut production in the United States is located. Corylus avellana exhibits sporophytic self-incompatibility (SSI), controlled by a single S-locus with at least 33...
Advanced machine learning algorithms, such as neural networks, have the potential to be successfully applied to many areas of system modelling. Several studies have been already conducted on forecasting structural damage due to individual earthquakes, ignoring the influence of seismic sequences, using neural networks. In the present study, an ensemble...
The knowledge about the intensive agricultural irrigation is very limited, but the use of irrigation is rapidly increasing. As an outcome, the sympathetic ecosystem is accepting modern irrigation that will play an essential function in the present and future for agricultural products. My dissertation will display the modification for investigation...
Unlike other biosensing, electrochemical biosensor has the advantages of robustness, easy miniaturization, excellent detection limits, and capability in handling small analyte volumes. The detection selectivity of the electrochemical biosensors is mainly supported by bioreceptors. However, these receptors always suffer from the performance variation caused by the environment and the thermal-...
Amendments and fertilizers applied to optimize crop production and improve soil health also supply inputs of soil organic matter (SOM) and nutrients that affect soil microorganisms. In the dairy-intensive Pacific Northwest, dairy manure is stored as slurry mixtures until conditions are appropriate for soil application. During storage, the manure begins...
Emerging data showing the presence of atmospheric microplastics (MPs) has recently raised awareness surrounding the potential of human nanoplastics (NPs) exposure. Due to factors such as weathering, UV exposure, and other biodegradation processes, plastic pollution in the environment breaks down over time into micro (<5 micrometers) and nanoscale (<1000nm) particles....
The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
Electrodeposition is a versatile polymer deposition technique to create nano-microscale materials using an electrical field generated from a charged droplet of solution and a grounded collector. Electrospinning or electrospraying can occur during electrodeposition, leading to the creation of nanofibers or bead-like materials depending on the process parameters. Photopolymerization of the...
At a time when environmental conditions are rapidly changing, understanding how thermal extremes impact wildlife is imperative to fully understanding the consequences of climate change in natural ecosystems. While many organisms are currently impacted by rapidly warming and more erratic environmental conditions, identifying and investigating model species whose life histories...
Climate model simulations and paleoclimate proxies are two tools that enable an understanding of the climate history of the Earth. When utilized together, they form a powerful paradigm for understanding past changes. Proxies are the only physical link to the past conditions on Earth, and models “fill in the gaps”...
The engineering community is increasingly moving towards the design of seismic force-resisting systems that limit post-earthquake damage and reduce downtime to increase urban resiliency. For example, structural spines can be used to provide an elastic load path to impose a more uniform drift distribution with building height, thereby reducing the...
Nearly 80% of solid tumors, such as melanoma, metastasize via the lymphatic system. The most common form of melanoma is BRAF-mutant melanoma, and additional mutations, such as a PTEN mutation in the PI3K pathway, is required for metastases to occur. Standard therapy includes treatment with small molecules dabrafenib (DAB) and...
Plant sexual reproduction requires a broad array of molecular mechanisms to proceed successfully. Some of these mechanisms are well-studied, but our knowledge of them as a whole is fundamentally incomplete. Pollen tube growth is a key part of this process, facilitating the delivery of the sperm cells to the female...
While safety improvements have been made in the construction industry, construction still experiences one of the highest numbers of fatalities annually compared to other industries in the United States with over 970 fatalities in 2016 alone. This number of fatalities drives researchers and safety managers to improve safety measures and...
The variety of natural disasters provide different sets of characteristics and properties with unique challenges. One significant difference between hazard types is prewarning lead time, the amount of time individuals have from a potential warning to the disaster occurring. Rapid onset disasters may not provide an official warning about a...
This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
High-pressure torsion (HPT) is an effective severe plastic deformation (SPD)
technique to produce bulk nanostructured materials (BNMs). These BNMs often show a combination of exceptional mechanical and physical properties. Processing of single metals and alloys by HPT has been understood that the homogenous microstructures can be achieved throughout the disk...
Snow is a critical component of global climate regulation and provides water resources to over one billion people worldwide. Yet current measurement methods and modeling techniques lack the ability to fully capture snow characteristics such as snow water equivalent (SWE), snow depth, and density variable landscapes. In recent years, the...
Molecular phylogenetic and chemical analyses, and morphological characterization of collections of North American Paraisaria specimens support the description of two new species and two new combinations for known species. P. cascadensis sp. nov. is a pathogen of Cyphoderris (Orthoptera) from the Pacific Northwest USA and P. pseudoheteropoda sp. nov. is...
The Polycomb Repressive Complex 2 (PRC2) catalyzes genome transcription repression through the methylation of lysine residue 27 in the amino terminal region of histone 3 (H3K27me1/2/3) [2], [7]. PRC2 is made up of three highly conserved core subunits: Kmt6, Eed, and Suz12. Accurate distribution of PRC2 is essential for proper...
The increasing focus on internationalization in Taiwan’s language-in-education policy has expanded the use of cross-cultural co-teaching pairs consisting of a native English-speaking teacher and a local non-native English-speaking teacher. While the model holds great potential for combining unique strengths, navigating cross-cultural communication in these co-teaching collaborations can be complex. This...
Climate change impacts everyone’s food and water security. Increasing global temperatures accelerate the hydrologic cycle and consequently impact the water resources for billions of people worldwide. Countless models have been developed to represent various components of the hydrologic cycle at various spatial and temporal scales. These are often validated against...
The recent advent of large-scale microbiome studies enabled by high-throughput sequencing calls for innovative statistical methodologies that are capable of tackling a myriad of challenges presented by microbiome data. Compelled by this need, we focus on the development of statistical tools for two types of problems that arise in microbiome...
Dysferlin is a ∼230 kDa terminally anchored membrane protein that is ubiquitously expressed, but is particularly enriched in skeletal and cardiac muscle tissue. Mutations covering the length of the protein have been linked to muscle wasting diseases including limb-girdle muscular dystrophy and Myoshi myopathy. Dysferlin has been shown to play...
The aim of this work was to assess the viability of duplex stainless steel 2205 components built via selective laser melting for seawater applications. First, a comprehensive additive manufacturing assessment was done. The duplex stainless steel 2205 components were selectively laser melted from gas atomized powder (D90 <45m) using a...
Consistent with its charge under Oregon House Bill 3543, the Oregon Climate Change Research Institute (OCCRI) conducts a biennial assessment of the state of climate change science, including biological, physical, and social science, as it relates to Oregon and the likely effects of climate change on Oregon. This sixth Oregon...
Transport phenomena specially the ones that occur in the various engineering disciplines such as tissue engineering and natural environment are often complex to analyze mostly due to the dynamic and geometric complexities; as such, they have been the subject of an active and intense area of research in past decades....
Based on current trends both pesticide and plastic production are expected to continue to rise in the coming decade. A growing global population coupled with the effects of climate change are the main drivers of increased pesticide use. Throughout this dissertation pesticides refer to herbicides, fungicides, and insecticides. Plastic production...
The study of natural products (NPs) and their application has shaped humanity. Starting with the idea of using plants as medicine, it has now grown into the science of purifying and identifying organic molecules from nature to study their inherent biological activities. Understanding the molecular structures of NPs is the...
The focus of this thesis is to design, characterize, and apply novel computational methods and molecular systems to interrogate heterogeneous human gut microbiome-related phenomena. In Chapter 2, I design, implement, and characterize a method for embedding co-occurrence patterns derived from massive 16s amplicon datasets. I use this method to 1....
This dissertation presents novel, field-activated smart material systems for the actuation and control of autonomous robots. Smart materials, a type of material whose properties can be changed with an external stimuli, represent a promising direction to expand upon existing robotic control and actuation methods, particularly in the sub-fields of soft...
Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...
In this dissertation, we address action segmentation in videos under limited supervision. The goal of action segmentation is to predict an action class for each frame of a video. The limited supervision means ground truth labels of video frames are not available in training. We focus on three types of...
The ability to extract uncertainties from predictions is crucial for the adoption of deep learning systems to safety-critical applications. Uncertainty estimates can be used as a failure signal, which is necessary for automating complex tasks where safety is a concern. Furthermore, current deep learning systems do not provide uncertainty estimates,...
Naturally occurring assemblies, such as DNA and proteins, utilize intermolecular forces (i.e H-bonding and van der Waals) to assemble. Utilizing these electrostatic interactions has only just started in the past five decades to be a tool used in synthetic chemistry in what is known as supramolecular chemistry. Supramolecular chemistry has...
Water electrolysis plays a pivotal role in achieving a green hydrogen economy by sourcing electricity from intermittent renewable sources. However, the efficiency of the electrolysis process is limited by the sluggish oxygen evolution reaction (OER) kinetics, whereas the kinetics of the hydrogen evolution reaction (HER) are more facile. This thesis...
Cell signaling under external stimulation is a critical mechanism that governs many biological processes such as cell proliferation, cell migration, and cell apoptosis, etc. For multicellular organisms, the ability to synchronize heterogeneous individual cellular responses through intercellular communication is crucial to maintain normal functionality. However, even though the biological pathways...
Animals aggregate and interact in nonuniform and nonrandom patterns, which lead to group level characteristics that have important evolutionary and ecological consequences. Network analysis provides a useful conceptual framework for linking animal interactions at all scales from dyads to communities, to populations and ecosystems. Despite exciting theoretical and applied advances...
We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...