Designing spectral efficient, high-speed wireless links that offer high quality-
of-service and range capability has been a critical research and engineering challenge. In this thesis, we mainly address the complexity and performance issues of
channel estimation and data detection in multiple-input multiple-output (MIMO)
orthogonal frequency division multiplexing (OFDM) systems over...
Intrinsically disordered proteins (IDP) are a class of proteins that lack a three-dimensional structure and their prevalence and diverse functions in the cell have only been discovered relatively recently. The intermediate chain (IC) subunit of the microtubule motor protein complex dynein contains an N-terminal disordered region, N-IC, which is central...
In this dissertation, I present electronic spectra of a few polycyclic aromatic hydrocarbons (PAHs): tetracene, pentacene, pyrene, benzo[g,h,i]perylene and benzo[a]pyrene using resonantly enhanced multiphoton ionization (REMPI) and zero kinetic energy (ZEKE) photoelectron spectroscopy. The work of tetracene and pentacene also combine a laser desorption source with a ZEKE spectrometer, demonstrating...
Ultra-wideband (UWB) communication has emerged as a very promising
technology for short-range wireless applications, including
high-speed multimedia transmissions and sensor networks. UWB
system designs involve many different aspects covering analog and
digital processing, channel estimation and modeling, and
modulation and demodulation. Although UWB still faces many
challenges, significant progress has...
Gender issues have recently received increased attention in human robot interaction (HRI). Because robots are becoming part of our homes and daily lives, it is important to understand how different groups of people use them. To the best of our knowledge, almost no research has been done that investigates gender...
Product sensory information, an external cue, could greatly influence consumer enjoyment of hedonic products like coffee. The question is what type of sensory information, subjective (e.g., aroma, flavor and body) or objective (e.g., origin, varieties and production practices), has a higher impact on consumer product experience accounting for heterogeneous taste...
Physical activity is important for health. However, there is a lack of literature related to the physical activity levels of adults living in urban villagers, which is a vulnerable population in China. The aim of this study is to compare the physical activity and sedentary behavior engagements between urban villagers...
Sporadic canine colorectal cancers (CRCs) should make excellent models for studying the corresponding human cancers. To molecularly characterize canine CRC, we investigated exonic sequence mutations of adenomatous polyposis coli (APC), the best known tumor suppressor gene of human CRC, in 23 sporadic canine colorectal tumors, including 8 adenomas and 15...
We propose the Breathing Earth System Simulator (BESS), an upscaling approach to quantify global gross primary productivity and evapotranspiration using MODIS with a spatial resolution of 1-5 km and a temporal resolution of 8 days. This effort is novel because it is the first system that harmonizes and utilizes MODIS...
Vitamin E (VitE) is necessary for vertebrate embryonic development. VitE prevents lipid peroxidation (LPO), which requires detoxification by cellular antioxidant systems subsequently involving reducing power derived from energy metabolism. Thus, VitE protects metabolic networks in the developing embryo and the integrated gene expression networks compensating for and impaired by LPO-induced...
Only two genome-wide significant loci associated with longevity have been identified so far, probably because of insufficient sample sizes of centenarians, whose genomes may harbor genetic variants associated with health and longevity. Here we report a genome-wide association study (GWAS) of Han Chinese with a sample size 2.7 times the...
Full Text:
Chi8, Han-Ming Wang8, Jie Dong8, Gu-Yan Zheng8, Li Lin5, Feng Qian5, Yanwei Qi3,9,
Xiao Liu3, Hongzhi
Recent advances in computing, communication, and artificial intelligence (AI) technologies have made our world more interconnected and data-rich than ever with the proliferation of smart devices and sensors. As a result, we are increasingly dependent on electronic devices and sensors to automate away life’s mundane parts. For example, in business...
In recent years, model-free Deep Reinforcement Learning (RL) has become an increasingly popular alternative to more traditional model-based or optimization-based control methods in solving robotic legged locomotion. However, deploying RL in the real world can be a significant undertaking. Constructing reward functions which compel controllers to learn the desired behavior...
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...
Gender relations as well as the social situation of Manchu women have long been ignored in studies of the cultural evolution of the Manchu. By setting the discussion of Manchu women in the context of cultural adaptation, this study reintroduces gender and women's problems into the research on the Manchu...
Chemistry of preparing dense film from solution deposition is explored with several cases in this thesis. Surface dense structure, conversion at melting point, and ion exchange in aqueous solution are the main topics covered here for the thin films of aluminum oxide phosphate and tin dioxide. Thin film density, optical...
Software entropy impacts the overall quality of software systems. High entropy hinders developers from understanding the purpose of a piece of code and can cause developers to make sub-optimal changes and introduce bugs. Researchers have used entropy scores to measure the naturalness of code. However, thus far, no one has...
Oregon State laboratories are responsible for a significant portion of the university’s overall resource and energy consumption, and therefore minimizing waste in a sustainable way should be a top priority for the university while aiming for carbon neutrality by 2025. This study addresses major factors that should be considered when...
Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them.
Further, there have been concerns about the possibility of bias and discrimination in predictive applications.
In order to address these issues, we propose an...
The dissertation focuses on the engineering of light-matter interaction using plasmonic nanoparticles and metamaterials to achieve enhanced luminescence and based on which to improve the performance of biosensing and light-emitting technologies. We designed and fabricated a spectrum of nanostructures to exhibit particular dispersion relations capable of controlling the spontaneous emission...
Wheat (Triticum aestivum L.) is one of the most important crops in the world. It has been and continues to be one of the main sources of food for humans and animals. Although traditional wheat breeding has contributed greatly to the improvement of wheat both in productivity and biotic/abiotic stress...
Microglia and reactive astrocytes accumulate in the spinal cord of rats expressing the Amyotrophic lateral sclerosis (ALS)-linked SOD1ᴳ⁹³ᴬ mutation. We previously reported that the rapid progression of paralysis in ALS rats is associated with the appearance of prolifer- ative astrocyte-like cells that surround motor neurons. These cells, designated as Aberrant...
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 need for less toxic quantum dots (QDs) has led to a significant number of investigations related to copper indium sulfide (CIS) QDs. Lower toxicity and broad band absorbance width makes CIS QDs appealing for light emitting diodes (LEDs), lasers, sensors, bio-imaging, solar cells, and computing. The optical and electronic...
Bimetallic catalysis is a promising way to tune the catalytic properties of heterogeneous catalysts. In particular, bimetallic catalysts are extensively used to enhance the selectivity of monometallic catalysts in a variety of contexts, from oxidation catalysis to oxygenate coupling. In this work, we investigate PdxCuy/SiO2 and PdxAgy/SiO2 catalysts in the...
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 high level of parallelism in throughput processors such as GPGPUs has resulted in significantly changed on-chip data traffic behaviors. This demands new research to identify and address the limiting factors of networks-on-chip (NoCs) in the context of throughput processors. In this work, we first quantitatively analyze the performance of...
Reinforcement learning has emerged as a popular tool for solving control tasks, with multiple works focusing on the complex and dynamic task of locomotion. However, the naive application of reinforcement learning to this problem often produces maladaptive policies that exploit the model or reward function. This results in behavior that...
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 Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...
As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and influential environmental conditions. In this research, we considered both spatial and temporal scale and the influence each has on predicting broad-scale distributions of two disparate...
Alternating temperature (22°C / -1°C) pretreatments were effective for
increasing cold hardiness and recovery of cryopreserved meristems. Combining low
temperature pretreatment with abscisic acid (ABA) or sucrose treatments reduced the
time required for optimal cold hardiness of meristems. Desiccation tolerance was
directly correlated with increased cold hardiness and recovery of...
In this dissertation, I describe spectroscopic studies of jet-cooled polycyclic aromatic hydrocarbons (PAH) and one nitrogen substituted PAH (PANH) using pulsed field zero kinetic energy (ZEKE) photoelectron spectroscopy and resonantly enhanced multiphoton ionization (REMPI) spectroscopy. Recently, there has been a demand for far-infrared (FIR) spectral information of astrophysically relevant molecules...
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...
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...
My work has focused on using density functional theory to elucidate mechanisms of organocatalytic and transition metal catalyzed reactions by considering competing mechanisms. In each of the three presented studies computational investigation complemented experimental work by predicting stereoselectivity or revealing origins of stereo, regio, or chemoselectivity.
A study on the...
Culture, thought worldview and language have been
discussed for a long time in different fields from various
perspectives. However, the basis of this study is the view
of language as both the product and producer of people just
as people are the producer and product of language. Each
language requires...
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...
Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
Epoxy resin is a thermosetting resin that is commonly used as composite matrix. Epoxy composite materials are well utilized in industries, such as aerospace, due to their good mechanical properties. Nano-scale filler reinforced polymer composite materials have been intensively researched in recent decades. Cellulose nanocrystals (CNXLs) are a type of...
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...
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...
Analysis of observations on sequential events over time is common in real life. Sequential measurements over time describing the behavior of systems are usually called time series data, which have been collected in a wide range of disciplines. Over the years there have been multiple research areas in studying stochastic...
Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
There is an urgent need to lower the concentration of sulfur in diesel fuels. Growing concern over environmental effects caused by burning sulfur-containing diesel has led the world to higher standards in fuel refinement. Because of these lower standards, many techniques have been researched to remove sulfur containing compounds or...
Herbs have been used for many centuries in diverse civilizations for the treatment of heart disease. Only a few natural supplements claim to have direct cardiovascular actions including hawthorn (Crataegus spp.) and berberine derived from the Berberidaceae family. Several different studies indicate important cardiovascular effects of hawthorn and berberine. For...
Interest in nanomaterials is motivated partly by their potential for sensor arrays to detect
different gases. Nanowires in particular are of interest because their high surface-to-volume
ratio promises the possibility of high sensitivity. However, because of their discrete
quasi-one-dimensional geometry, electrical integration of nanowires into photolithographically
defined devices and circuits...
Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...