Tomato [Lycopersicon esculentum Mill.] plants are chilling sensitive and do not
naturally accumulate glycinebetaine (GB), a metabolite that functions as a stress
protectant in plants. While GB can increase tolerance of tomato plants to salt and
drought stresses, its effect on chilling tolerance has not been examined. To evaluate
whether...
Solanum species differ in their degree of frost tolerance and cold acclimation capacity. Cultivated potato species of Solanum tuberosum L. are frost-sensitive, incapable of cold acclimation, and have a maximum freezing tolerance of –3°C. Solanum commersonii Dun is frost-tolerant and can survive to –5ºC pre-acclimation and –10ºC post-acclimation. Breeding attempts...
In poplar (Populus spp.) a 32-kilodalton bark storage protein (BSP) accumulates during the fall and winter, and is thought to be a major storage form of overwintering nitrogen. BSP is induced by short-day (SD) photoperiod, and under natural conditions BSP accumulation coincides with the induction of dormancy. Because BSP accumulates...
One of the motives of China's Economic Reform is to bring Western
management techniques to China to further economic development. The miraculous
success of the Special Economic Zone (SEZ) in Shenzhen, Guangdong has attracted
many foreign investors who gladly bring their management expertise. This thesis looks
at small, medium and...
The appropriate use of disaggregated economic data not only improves the accuracy and robustness of economic analyses, but also extends the existing economic models to address new aspects of the issue. This dissertation consists of three essays: two essays use disaggregated economic-engineering data to address spatial heterogeneity in economic losses...
This thesis presents a novel design for a rheometer style viscometer by implementing high temperature and inert atmospheric requirements on the device. The goals of this device are to measure the viscosity of high temperature molten salts, which are corrosive and extremely hydroscopic. It also aims to be able to...
The ongoing climate change has impacted the lives and livelihoods of people. A climate-related disaster acts as an exogenous shock to the economy that can have lingering effects over a larger region even if all the locations are not directly affected. Climate-related disasters do not follow the administrative boundaries. So,...
County governments in the United States play important roles in the tax collection and public service provisions. Thus, a better understanding of the local government finances is closely related to the welfares of residents. In this dissertation, I provide two essays: in the first essay, I examine the fiscal impacts...
In this dissertation, we investigate three numerical methods for inverting the Laplace transform. These methods are all based on the trapezoidal-type approximations to the Bromwich integral. The first method is the direct integration method: It is a straightforward application of the trapezoidal rule to the Bromwich integral, followed by convergence...
Frost injury is one of the major factors limiting potato production in many parts
of the world. It would be desirable to transfer the frost-tolerance traits from the hardy
relatives to the cultivated potato, however, progress has been very slow. Since Solanum
commersonii has been the major source of frost...
Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
Urban green space is associated with multiple physical and mental health outcomes. Several benefits of green space, such as stress reduction and attention restoration, are dependent on visual perception of green space exposures. However, traditional green space exposure measures do not capture street-level exposures. In this project, we apply deep...
Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
High Performance Computing can find ubiquitous applications in the industry. HPC-applications are specifically designed to take advantage of the parallel nature of the computing systems which is often enabled by Multi-core/Many-core architectures. With this advent of Multi-processors in the mainstream systems, inter-core communication has been one of the major challenges...
Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
Nanoscale Instrumented Indentation Testing (IIT) is a material characterization technique that is used to determine mechanical properties. The size effects present at this scale make it difficult to expand findings to a bulk scale. Modeling can be used to bridge this gap and better understand nanoscale IIT and the size...
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,...
Data centers have seen a rapid growth in recent years as the technology industry is relying more on cloud services. In effect, data centers are paying millions of US $ in energy costs. Several strategies have been proposed to lower the total energy cost at data centers- task migration, server...
The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
Idaho National Laboratories recently conducted micromechanical testing of nano-recrystallized UO₂ as a part of an ongoing investigation of High Burnup Structure (HBS). The goals of the test were to determine the fracture stress, and the elastic modulus of subdivided grains within UO₂ using ion irradiation rather than neutron irradiation to...
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....
The machine learning and deep learning models have been very lightly explored in analyzing the behavior of On-Chip network traffic. These models have proven their potential in pattern recognition, classification etc... In this paper we analyze the spatial pattern that each workload exhibits in its life cycle during execution. We...
Routerless networks on chip (NoCs) were recently introduced as an alternative to traditional mesh-based scalable networks, promising improved performance and scalability with a large decrease in power and area usage by the elimination of routing on in-flight packets. Without mitigation, most network designs, including routerless, are susceptible to loss of...
Simultaneous speech-to-text translation remains a difficult yet important problem for modern machine learning models whereby a text translation is generated concurrently with receiving partial speech inputs. One state-of-the-art simultaneous speech-to-text model is the augmented memory transformer whose encoder breaks a speech input into fixed-size overlapping segments composed of left, right,...
As the number of nodes in high-performance computing (HPC) systems continues to grow, it becomes increasingly important to design scalable interconnection network topologies. Prior work has shown promise in adding random shortcuts on top of an existing topology to reduce average hop count and network diameter, but has been limited...
Traditional bus-based interconnects are simple and easy to implement, but the scalability is greatly limited. While router-based networks-on-chip (NoCs) offer superior scalability, they also incur significant power and area overhead due to complex router structures. In this thesis, a new class of on-chip networks, referred to as Routerless (RL) NoCs,...
The production of barley (Hordeum vulgare L.) haploids by crossing with
H. bulbosum is a widely used tool in breeding and genetics. Certain barley
genotypes have low seed set in this interspecific cross, a phenomenon known
as partial incompatibility. Haploid production efficiency and gamete sampling
are important issues with the...
Hydrogen cyanamide (CY) has been used to break rest
in temperate crops, but levels used to overcome rest are
sometimes toxic to plants. The rest breaking effect of CY
is thought to involve peroxide metabolism. Inhibition of
catalase by CY has been proposed as a mechanism for
overcoming dormancy in...
The primary purpose of this study was to try to (1) provide information on the chemical nature, including turbidity formation, of polygalacturonic acid in different concentrations of NaCl solution. (2) use turbidity formation characteristics to develop an assay for determining the activities polygalacturonic acid depolymerases by using a polyelectrolyte. (3)...
Social scientists have studied people's responses to disasters for many decades, and behavioral commonalities and variations are summarized in different mental schemes/models in disaster studies. Integrating those findings from social science into evacuation simulation can improve simulation accuracy and eventually better support decision-making and disaster preparedness. However, this kind of...
While riding bicycles has been promoted for its health, economic, and environmental benefits, it also complements other modes to complete a safe, efficient, and reliable transportation system. However, the dramatic increase of bicycle usage in the U.S. is accompanied by a growth of bicycle crashes. The U.S. Department of Transportation,...
A new general method is developed for the optimization of
HPLC ternary or pseudo-quaternary mobile phases which are
represented by the trilinear coordinate system. This method can
predict the global optimum of the mobile phase composition. The
global optimum composition along each edge of the triangle and
the corresponding selectivity...
The study of differentiation of integrals has led to the study of maximal functions. In the development of harmonic analysis, the most powerful result connected with Lebesgue's theorem was that of the Hardy-Littlewood Maximal Theorem. This maximal theorem implies Lebesgue's theorem, and the maximal function and its variants have played...
This study sought to explore the relationship between spatial scale and canopy
chemistry through the use of remotely sensed videography data and total nitrogen content
of potato petioles. A range of broad band spectral indices were employed along with
standard red and green wavelengths to define an optimum scale or...
The primary purpose of the present study is to explore the effect of wearing the hijab in a Western society on Muslim women’s well-being, their motivation to wear it, and the different modifications that they have made on their hijabs. To investigate the relationship between the hijab and Muslim women’s...
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Hsiou-Lien Chen
The primary purpose of the present study is to explore the effect of
Three-dimensional gravity analysis is the process of removing the predictable
components from the free-air gravity anomalies and has proven to be useful for
interpreting the subsurface structures and active processes at mid-ocean ridges. The
three-dimensional effects of the seafloor and Moho topography, assuming a constant
crustal thickness and constant crust...
People will spend a large amount of their lifetime indoors where the air is filled with both indoor and outdoor allergens. Exposure to allergens can have a range of effects on the health of building occupants. Textiles make up a vast majority of the surfaces, such as draperies, sofas, pillows,...
Clothing is the primary means that wilderness backpackers have to protect themselves from injuries and illnesses that can occur while hiking in the cold. The current method of layering clothing may not meet backpackers' needs for both thermal insulation and heat dissipation, particularly in areas of the body that produce...
In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
Apparel has been described as a portable environment (Jintu & Tsang, 2008). This portable environment has the ability to facilitate human presence in a variety of situations, conditions, and circumstances that would otherwise be uncomfortable, harmful, or even fatal. Personal protective garments (PPGs) that provide thermal insulation from external heat...
This qualitative study explored the gendered professional experiences of male elementary school counselors. The participants or co-researchers were twelve men of varied ethnic and racial backgrounds between 25 and 60 years old. They lived and worked in five US states in urban, suburban and rural settings. They provided school counseling...
The objectives of this project were to investigate the critical factors impacting the physicochemical and antibacterial properties of β-chitosan based films derived from jumbo squid (Dosidicus gigas) pens, and to evaluate the feasibility of improving water solubility of β-chitosan through Maillard reaction. The studies examined the effect of molecular weight...
Optical wireless communication (OWC) is an alternative to radio frequency (RF)communication with a signi cantly larger and unregulated spectrum. In OWC systems, optical orthogonal frequency division multiplexing (O-OFDM) with intensity modulation and direct detection (IM/DD) is commonly used. There are two common signal structures in most OWC systems based on...