ABSTRACT
With the fast development of industry, it brings indelible pollution to the natural environment. As a consequence, the air quality is getting worse which will seriously affect people's health. With such concern, continuous air quality monitoring and prediction are necessary. Traditional air quality monitoring methods cannot use large amount of historical data to make accurate predic-tions. Moreover, the traditional prediction method can only roughly predict the air quality level in a short time. With the development of artificial intelligence al-gorithms [1] and high performance computing, the latest mathematical methods and algorithms are able to generate much more accurate predictions based on long term past data. In this master thesis project, it explore to develop deep learning based air quality prediction based on real sensor network time series air quality data from STAIR system [3].

The silicon-based solar cell has been extensively deployed in photovoltaic industry and plays an important role in renewable energy industries. A more energy-efficient, environment-harmless and eco-friendly silicon production technique is required for price-competitive solar energy harvesting. Silicon electrorefining in molten salt is promising for the ultrapure solar-grade Si production. To avoid using highly corrosive fluoride salt, CaCl2-based salt is widely employed for silicon electroreduction. For Si electroreduction in CaCl2-based salt, CaO is usually added to enhance the solubility of SiO2. However, the existence of oxygen in molten salt could result in system corrosion, anode passivation and the co-deposition of secondary phases such as CaSiO3 and SiO2 at the cathode. This research focuses on the development of reusable oxygen-free CaCl2-based molten salt for solar-grade silicon electrorefining. A new multi-potential electropurification process has been proposed and proven to be more effective in impurities removal. The as-received salt and the salt after electrorefining have been electropurified. The inductively-coupled plasma mass spectrometry and cyclic voltammetry have been utilized to determine the impurities removal of electropurification. The salt after silicon electrorefining has been regenerated to its original purity level before by the multi-potential electropurification process, demonstrating the feasibility of a reusable salt by electropurification. In an oxygen-free CaCl2-based salt without silicon precursor, the silicon dissolved from the silicon anode can be successfully deposited at the cathode. The silicon anode has been operated for more than 50 hours without passivation in the oxygen-free system. Silicon ions start to be deposited after 0.17 g of silicon has been dissolved into the salt from the silicon anode. A 180 µm deposit with a silver-luster surface was obtained at the cathode. The main impurities in the silicon anode such as aluminum, iron and titanium were not found in the silicon deposits. No oxygen-containing secondary phases are detected in the silicon deposits. These results confirm the feasibility of silicon electrorefining in the oxygen-free CaCl2-based salt.

Pervaporation is a membrane process suited to complex and highly contaminated wastewaters. Pervaporation desalination is an emerging area of study where the development of high-performance membranes is necessary to propel the field forward. This research demonstrated that sulfonated block polymer membranes (Nexar™)show excellent permeance (water passage normalized by driving force) of as much as 135.5 ± 29 kg m-2 hr-1 bar-1, with salt removal values consistently equal to or greater than 99.5%. Another challenging water management scenario is in spaceflight situations, such as on the International Space Station (ISS). Spaceflight wastewaters are highly complex, with low pH values, and high levels of contaminants. Current processes produce 70% wastewater recovery, necessitating the handling and processing of concentrated brines. Since recoveries of 85% are desired moving forward, further efforts in water recovery are desirable. An area of concern in these ISS water treatment systems is scalant deposition, especially of divalent ions such as calcium species. Zwitterions are molecules with localized positive and negative charges, but an overall neutral charge. Zwitterions have been used to modify the surface of membranes have shown to decrease fouling. Building a copolymer between zwitterions and other polymers, creates zwitterion layer on top of previously studied Nexar™ membranes. This coating demonstrates great promise to combat scaling, as it increases the hydrophilicity of the membrane surface measured via contact angle. The zwitterion membranes experienced reduced scaling, with the greatest difference being between 1617 ± 241 wt% on control membranes, to 317 ± 87 wt% on zwitterion coated membranes in the presence of CaCl2. In treating spaceflight wastewater, these zwitterion membranes are effective at retaining the acid in the feed, going from a pH value of 2 to 7 and reducing the contamination level of the feed, with a removal value of 99.3 ± 0.4%, measured through conductivity. These membranes also perform well in separation processes that do not require extreme vacuum and can be operated passively. By optimizing both membrane material properties and process conditions, achieving increased high levels of water recovery from spaceflight wastewaters is attainable.

The process of brain development is magnificently complex, requiring the coordination of millions of cells and thousands of genes across space and time. It is therefore unsurprising that brain development is frequently disrupted. Numerous genetic mutations underlying altered neurodevelopment have been identified and aligned with behavioral changes. However, the cellular mechanisms linking genetics with behavior are incompletely understood. The goal of my research is to understand how intracellular kinase signaling contributes to the development of ventrally derived glia and neurons. Of particular interest are GABAergic interneurons in the cerebral cortex, as GABAergic disruption is observed in multiple neurodevelopmental disorders including epilepsy, schizophrenia, and autism spectrum disorders. In addition, I investigated how kinase signaling influences the number and distribution of ventral born oligodendrocyte lineage cells to gain insight into white matter abnormalities observed in developmental disorders. This work primarily investigates the mitogen associated protein kinase (MAPK) signaling cascade, which is ubiquitously expressed but is particularly important for brain development. Hyperactive MAPK signaling causes RASopathies, a group of neurodevelopmental disorders where affected individuals often exhibit learning disability. MAPK haploinsufficiency, such as in 16p11.2 deletion syndrome, also results in intellectual disability. In both cases, the cells driving cognitive dysfunction are unknown. Using genetically modified mouse models, I found that hyperactivation of MAPK signaling disrupts a subtype of GABAergic neurons that express parvalbumin, though the same cells are resilient to MAPK deletion. In contrast, somatostatin expressing neurons require MAPK for normal development but are less responsive to hyperactivation. Oligodendrocyte lineage cells have a bidirectional response to MAPK signaling, where hyperactivating MAPK increases cell number and deletion reduces glial number.
MAPK signaling activates several hundred downstream cues, but one of particular interest to this work is called Liver Kinase B1 (LKB1). LKB1 is a protein kinase which can regulate cell proliferation, survival, and metabolism. Here, I discovered that LKB1 is necessary for the development of parvalbumin expressing neurons. Collectively, these data identify disruption to certain ventral derivatives as a candidate pathogenic mechanism in neurodevelopmental conditions.

Understanding the dynamic interactions between humans and wildlife is essential to establishing sustainable wildlife-based ecotourism (WBE). Animal behavior exists within a complex feedback loop that affects overall ecosystem function, tourist satisfaction, and socioeconomics of local communities. However, the specific value that animal behavior plays in provisioning ecosystem services has not been thoroughly evaluated. People enjoy activities that facilitate intimate contact with animals, and there are many perceived benefits associated with these experiences, such as encouraging pro-environmental attitudes that can lead to greater motivation for conservation. There is extensive research on the effects that unregulated tourism activity can have on wildlife behavior, which include implications for population health and survival. Prior to COVID-19, WBE was developing rapidly on a global scale, and the pause in activity caused by the pandemic gave natural systems the chance to recover from environmental damage from over-tourism and provided insights into how tourism could be less impactful in the future. Until now it has been undetermined how changes in animal behavior can alter the relationships and socioeconomics of this multidimensional system. This dissertation provides a thorough exploration of the behavioral, ecological, and economic parameters required to model biosocial interactions and feedbacks within the whale watching system in Las Perlas Archipelago, Panama. Through observational data collected in the field, this project assessed how unmanaged whale watching activity is affecting the behavior of Humpback whales in the area as well as the socioeconomic and conservation contributions of the industry. Additionally, it is necessary to consider what a sustainable form of wildlife tourism might be, and whether the incorporation of technology will help enhance visitor experience while reducing negative impacts on wildlife. To better ascertain whether this concept of this integration would be favorably viewed, a sample of individuals was surveyed about their experiences about using technology to enhance their interactions with nature. This research highlights the need for more deliberate identification and incorporation of the perceptions of all stakeholders (wildlife included) to develop a less-impactful WBE industry that provides people with opportunities to establish meaningful relationships with nature that motivate them to help meet the conservation challenges of today.

Imitation Learning, also known as Learning from Demonstration (LfD), is a field of study dedicated to aiding an agent's learning process by providing access to expert demonstrations. Within LfD, Movement Primitives is a particular family of algorithms that have been widely studied and implemented in complex robot scenarios. Interaction Primitives, a subset of Movement Primitives, have demonstrated notable success in learning single interactions between humans and robots. However, literature addressing the extension of these algorithms to support multiple variations of an interaction is limited. This thesis presents a physical human-robot interaction algorithm capable of predicting appropriate robot responses in complex interactions that involve a superposition of multiple interactions. The proposed algorithm, Blending Bayesian Interaction Primitives (B-BIP), achieves responsive motions in complex hugging scenarios and can reciprocate and adapt to the motion and timing of a hug. B-BIP generalizes prior work, where the original formulation reduces to the particular case of a single interaction. The performance of B-BIP is evaluated through an extensive user study and empirical experiments. The proposed algorithm yields significantly better quantitative prediction error and more favorable participant responses concerning accuracy, responsiveness, and timing compared to existing state-of-the-art methods.

How do voters respond to feminist candidates? In recent years, numerous factors have led to feminism’s increased salience in the political discourse. From the #MeToo movement, to the continuous increases in women’s political representation, to the recent overturning of Roe v. Wade, feminism is once again entering the political mainstream. Given the necessity of feminism after the attack on women’s rights, it is important to bring more feminists into office and subsequently, understand how feminist candidates are viewed by the electorate. To test these questions, I utilized multiple methods including focus groups, survey research, and a survey experiment. The focus group asked students their opinions on feminists and feminist candidates, both positive and negative. The survey asked a variety of questions on feminism, gender, and other sociopolitical issues, to analyze the best ways of operationalizing feminism. The survey experiment presented respondents with a fictional news article of a fictional candidate running for a seat in the House of Representatives. The article varied the candidate’s gender, partisan affiliation, and whether or not the candidate identified as a feminist. Respondents were then asked a series of questions on their opinions of the candidate they viewed. My findings indicate that feminist candidates are not overly disadvantaged compared to their non-feminist counterparts, though some negative consequences remain for certain types of feminists, along gendered and party lines.

The performance of kilometer-scale electron accelerators, which are used for high energy physics and next-generation light sources as well as meter-scale ultra-fast electron diffraction setups is limited by the brightness of electron sources. A potential emerging candidate for such applications is the family of alkali and bi-alkali antimonides. Much of the physics of photoemission from such semiconductor photocathodes is not fully understood even today, which poses a hindrance to the complete exploration and optimization of their photoemission properties. This thesis presents the theoretical and experimental measurements which lead to advances in the understanding of the photoemission process and properties of cesium-antimonide photocathodes. First, the growth of high quantum efficiency (QE), atomically smooth and chemically homogeneous Cs$_3$Sb cathodes on lattice-matched strontium titanate substrates (STO) is demonstrated. The roughness-induced mean transverse energies (MTE) simulations indicate that the contribution to MTE from nanoscale surface roughness of Cs$_3$Sb cathodes grown on STO is inconsequential over typically used field gradients in photoinjectors. Second, the formulation of a new approach to model photoemission from cathodes with disordered surfaces is demonstrated. The model is used to explain near-threshold photoemission from thin film Cs$_3$Sb cathodes. This model suggests that the MTE values may get limited to higher values due to the defect density of states near the valence band maximum. Third, the detailed measurements of MTE and kinetic energy distribution spectra along with QE from Cs$_3$Sb cathodes using the photoemission electron microscope are presented. These measurements indicate that Cs$_3$Sb cathodes have a work function in the range of 1.5-1.6 eV. When photoemitting near this work function energy, the MTE nearly converges to the thermal limit of 26 meV. However, the QE is extremely low, of the order of 10$^{-7}$, which limits the operation of these photocathodes for high current applications. Lastly, the growth of Cs$_3$Sb cathodes using the ion beam assisted molecular beam deposition (IBA-MBE) technique is demonstrated. This technique has the potential to grow epitaxial Cs$_3$Sb cathodes in a more reproducible, easier fashion. Structural characterization of such cathodes via tools such as reflection high energy electron diffraction (RHEED) and x-ray diffraction (XRD) will be necessary to investigate the role of the IBA-MBE technique in facilitating the epitaxial, ordered growth of alkali-antimonides.

Both volcanic and tectonic landforms are surface expressions of the inner workings of a planet. On Earth, volcanism and crustal deformation are primarily surface expressions of plate tectonics. In contrast, the lunar crust has been deformed by solely endogenic processes following large impact events.The Procellarum KREEP (potassium (K), rare earth elements (REE), and phosphorus (P)) Terrane (PKT) is a thermally and chemically distinct geologic province on the Moon. Despite the wealth of remote sensing data, the origin and evolution of the PKT is poorly understood. This study focuses on floor-fractured craters and silicic magma genesis within the PKT.
First, I present a detailed study of floor-fractured craters, including morphometric measurements using topographic datasets from the Lunar Reconnaissance Orbiter Camera (LROC), variations in temporal heat flow, lithospheric rheology and the locations of floor-fractured craters relative to impact basins. The overarching conclusion is viscous relaxation and magmatic intrusion are not necessarily mutually exclusive, as has been argued in earlier studies. This work also provides new evidence for the existence of the putative Procellarum basin.
Next, with rhyolite-MELTS modeling, I demonstrate that fractional crystallization of KREEP basalt magmas is a plausible mechanism for generating silicic melts. The results suggest that following crystallization, the composition of the remaining ~30 wt.% liquids are consistent with returned lunar silicic fragments.
Finally, using crater counting methods I tested the stratigraphic relationship between the floor-fractured crater, Hansteen, and the silicic volcanic landform, Mons Hansteen. Absolute model ages (AMAs) suggest that the basalts on the floor of Hansteen crater formed contemporaneously with Mons Hansteen, implying that bimodal volcanism might have played a role in silicic magma genesis on the Moon.

Identifying the hindrances to performing effective talent acquisition within the science, technology, engineering, and mathematics field is an important topic for technical hiring managers. Top candidates have multiple options during highly competitive market conditions requiring managers to look for unique solutions which diverge from competition. Prior to this study there has been very little research considering national laboratory research and development challenges from a technical hiring manager’s talent acquisition perspective. Utilizing a unique combination of national laboratory multi-organization survey, pilot study, Human Resource (HR) tracking data and trust based business strategy to enhance partnering this research finds hiring managers can leverage out of the box techniques to improve internal processes while developing industry support to target highly qualified individuals. This methodology could be utilized by technical hiring managers across federal national laboratory enterprise to effectively capture next generation staff and leadership talent who align with their organization professionally as well as social culture.