Physical Sciences and Mathematics Commons^™

The Eco‐Integrity And Grassland Management — The Lessons From Biodiversity Conservation & Community Development In Imar, China, Weijie Deng

IGC Proceedings (1993-2023)

No abstract provided.

Rangeland Day As A Tool For Monitoring Propagation, M. Azimi, Mehdi Farahpour, M. Borhani, Hossein Arzani

IGC Proceedings (1993-2023)

No abstract provided.

Farmers' Perspectives On Local Feedstuffs And Introduced Forages: Case Study Of Four Villages In Northern Nigeria, G.-E. Akouègnon, Volker Hoffmann, R. Schultze‐Kraft

IGC Proceedings (1993-2023)

No abstract provided.

Stratigraphic Evidence Of Two Historical Tsunamis On The Semi-Arid Coast Of North-Central Chile, Jessica M. Depaolis, Tina Dura, Breanyn Macinnes, Lisa L. Ely, Marco Cisternas, Matías Carvajal, Hui Tang, Hermann M. Fritz, Cyntia Mizobe, Robert L. Wesson, Gino Figueroa, Nicole Brennan, Benjamin P. Horton, Jessica E. Pilarczyk, D. Reide Corbett, Benjamin C. Gill, Robert Weiss

Geological Sciences Faculty Scholarship

On September 16, 2015, a M_w 8.3 earthquake struck the north-central Chile coast, triggering a tsunami observed along 500 km of coastline, between Huasco (28.5°S) and San Antonio (33.5°S). This tsunami provided a unique opportunity to examine the nature of tsunami deposits in a semi-arid, siliciclastic environment where stratigraphic and sedimentological records of past tsunamis are difficult to distinguish. To improve our ability to identify such evidence, we targeted one of the few low-energy, organic-rich depositional environments in north-central Chile: Pachingo marsh in Tongoy Bay (30.3°S).

We found sedimentary evidence of the 2015 and one previous tsunami as tabular …

Nitrogen And Rainfall Effects On Crop Growth—Experimental Results And Scenario Analyses, Saadi Sattar Shahadha, Ole O. Wendroth, Dianyuan Ding

Plant and Soil Sciences Faculty Publications

Nitrogen (N) fertilization is critical for crop growth; however, its effect on crop growth and evapotranspiration (ETc) behaviors under different amounts of rainfall is not well understood. As such, there is a need for studying the impact of nitrogen application rates and rainfall amounts on crop growth and ETc components. Agricultural system models help to fill this knowledge gap, e.g., the Root Zone Water Quality Model (RZWQM2), which integrates crop growth-related processes. The objective of this study is to investigate the effect of the nitrogen application rate on crop growth, soil water dynamics, and ETc behavior under different rainfall amounts …

Providing Improved Livelihoods For Muskoka’S Stakeholders In The Time Of Two Global Crises, Andrew Court '22

Student Scholarship

Climate change and the coronavirus pandemic have drastically impacted the livelihoods of Muskoka’s stakeholders. Climate change has led to altered weather patterns and environments in Muskoka, which have negatively impacted stakeholders' (defined as permanent residents, seasonal residents and tourists) built infrastructure, mental and physical health, and these effects are only expected to worsen in the coming decades. Similarly, the coronavirus pandemic has caused many physical and mental health problems for Muskoka's stakeholders and has also led to tensions and anxieties regarding opinions about whether or not every stakeholder should be able to access the region during the pandemic. Although coronavirus …

Modeling Hyperpolarized Nmr Phenomena In Optically Pumped Semiconductors, Michael Eric West

Arts & Sciences Electronic Theses and Dissertations

Nuclear magnetic resonance (NMR) is a widely-used technique that measures the local environments of nuclei. It is able to detect small differences in energy, making it a highly-valued tool. However, the technique is challenged by inherently low sensitivities, requiring either large sample volumes or long periods of time to overcome this. In semiconductors, optical pumping (OP) can overcome this low sensitivity by creating incredibly large and dynamic nuclear spin polarizations (``hyperpolarization''), which is detectable as a large NMR signal. The combined technique of optically-pumped NMR (OPNMR) is a valuable tool that can explore electronic and nuclear phenomena within semiconductors. In …

Smooth Ica Under Time Pattern Assumptions, Jiayi Fu

Arts & Sciences Electronic Theses and Dissertations

Independent component analysis (ICA) is wildly used in differently areas. As traditional ICA models make no assumptions on time pattern, they do not take time domain information into consideration. In this thesis, we introduced new assumptions that allow local dependence over time, and we built smooth ICA models to utilize the smoothness information for sources signals. Based on the local dependence assumptions, constrained optimization problems with smoothing penalty were discussed. Then we introduced smooth ICA estimators and estimating equations. Under local dependence assumptions, we gave proofs about the consistency and asymptotic normality of these estimators. We derived the Newton iterative …

Method Development For Enhancing Sensitivity Of Dynamic Nuclear Polarization Nuclear Magnetic Resonance Spectroscopy For Structural Studies Of Pkc-Drug Interactions, Patrick Terrence Judge

Arts & Sciences Electronic Theses and Dissertations

To perform the most relevant structural studies on biological systems, experiments need to be carried out when the target proteins are in their endogenous cellular environment. Nuclear magnetic resonance (NMR) is well-suited to probe the structure and dynamics of a wide variety of systems, including biologically relevant proteins. However, NMR suffers from an inherent lack of sensitivity. Dynamic nuclear polarization (DNP) NMR is a powerful technique that is used to enhance NMR sensitivity by transferring the greater polarization of exogenously doped electron spins to nuclear spins of interest though the use of a high-power microwave source. Solid effect radicals offer …

Machine Learning For Analog/Mixed-Signal Integrated Circuit Design Automation, Weidong Cao

McKelvey School of Engineering Theses & Dissertations

Analog/mixed-signal (AMS) integrated circuits (ICs) play an essential role in electronic systems by processing analog signals and performing data conversion to bridge the analog physical world and our digital information world.Their ubiquitousness powers diverse applications ranging from smart devices and autonomous cars to crucial infrastructures. Despite such critical importance, conventional design strategies of AMS circuits still follow an expensive and time-consuming manual process and are unable to meet the exponentially-growing productivity demands from industry and satisfy the rapidly-changing design specifications from many emerging applications. Design automation of AMS IC is thus the key to tackling these challenges and has been …

Community Detection In Complex Networks, Zhenqi Lu

McKelvey School of Engineering Theses & Dissertations

Network science plays a central role in understanding and modeling complex systems in many disciplines, including physics, sociology, biology, computer science, economics, politics, and neuroscience. By studying networks, we can gain a deep understanding of the behavior of the systems they represent. Many networks exhibit community structure, i.e., they have clusters of nodes that are locally densely interconnected. These communities manifest the hierarchical organization of the objects in systems, and detecting communities greatly facilitates the study of the organization and structure of complex systems.

Most existing community-detection methods consider low-order connection patterns, at the level of individual links. But high-order …

Non-Hermitian Physics And Engineering In Whispering Gallery Mode Microresonators, Changqing Wang

McKelvey School of Engineering Theses & Dissertations

Non-Hermitian physics describes the behaviors of open systems which have interactions with the environment. It can be applied to a wide range of classical and quantum systems. Exotic physical phenomena are unveiled in such non-Hermitian systems, especially around a singular point in the parameter space, i.e., the exceptional point (EP), where the eigenvalues and the associated eigenvectors are degenerate. A plethora of demonstrations have been found in optics and photonics, where the non-Hermitian effects are ubiquitous due to the existence of optical dissipation or amplification. In particular, whispering gallery mode (WGM) resonators are ideal candidates for studying light-matter interactions in …

Neural Representation In The Primary Visual Cortex Amid High Neural Variability, Ji Xia

Arts & Sciences Electronic Theses and Dissertations

Animals process high-dimensional sensory information constantly. How does neural activityin sensory cortices represent this information? Recent advances in large-scale recordings allow us to monitor activity of hundreds or thousands of neurons simultaneously across a long period of time. Population recordings showed that cortical neuronal responses to repeated sensory stimulation is highly variable from trial to trial. However, how neurons in neocortex represent sensory information amid high neural variability is not well understood. To answer this question, we used two-photon calcium imaging to record from hundreds of excitatory neurons simultaneously from mouse primary visual cortex. We analyzed neural responses to repeated …

Photoacoustic Imaging, Feature Extraction, And Machine Learning Implementation For Ovarian And Colorectal Cancer Diagnosis, Eghbal Amidi

McKelvey School of Engineering Theses & Dissertations

Among all cancers related to women’s reproductive systems, ovarian cancer has the highest mortality rate. Pelvic examination, transvaginal ultrasound (TVUS), and blood testing for cancer antigen 125 (CA-125), are the conventional screening tools for ovarian cancer, but they offer very low specificity. Other tools, such as magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET), also have limitations in detecting small lesions. In the USA, considering men and women separately, colorectal cancer is the third most common cause of death related to cancer; for men and women combined, it is the second leading cause of cancer deaths. …

Continuous-Time And Complex Growth Transforms For Analog Computing And Optimization, Oindrila Chatterjee

McKelvey School of Engineering Theses & Dissertations

Analog computing is a promising and practical candidate for solving complex computational problems involving algebraic and differential equations. At the fundamental level, an analog computing framework can be viewed as a dynamical system that evolves following fundamental physical principles, like energy minimization, to solve a computing task. Additionally, conservation laws, such as conservation of charge, energy, or mass, provide a natural way to couple and constrain spatially separated variables. Taking a cue from these observations, in this dissertation, I have explored a novel dynamical system-based computing framework that exploits naturally occurring analog conservation constraints to solve a variety of optimization …

A Neuromorphic Machine Learning Framework Based On The Growth Transform Dynamical System, Ahana Gangopadhyay

McKelvey School of Engineering Theses & Dissertations

As computation increasingly moves from the cloud to the source of data collection, there is a growing demand for specialized machine learning algorithms that can perform learning and inference at the edge in energy and resource-constrained environments. In this regard, we can take inspiration from small biological systems like insect brains that exhibit high energy-efficiency within a small form-factor, and show superior cognitive performance using fewer, coarser neural operations (action potentials or spikes) than the high-precision floating-point operations used in deep learning platforms. Attempts at bridging this gap using neuromorphic hardware has produced silicon brains that are orders of magnitude …

Algebraic, Computational, And Data-Driven Methods For Control-Theoretic Analysis And Learning Of Ensemble Systems, Wei Miao

McKelvey School of Engineering Theses & Dissertations

In this thesis, we study a class of problems involving a population of dynamical systems under a common control signal, namely, ensemble systems, through both control-theoretic and data-driven perspectives. These problems are stemmed from the growing need to understand and manipulate large collections of dynamical systems in emerging scientific areas such as quantum control, neuroscience, and magnetic resonance imaging. We examine fundamental control-theoretic properties such as ensemble controllability of ensemble systems and ensemble reachability of ensemble states, and propose ensemble control design approaches to devise control signals that steer ensemble systems to desired profiles. We show that these control-theoretic properties …

Effect Of An Antenatal Lifestyle Intervention On Dietary Inflammatory Index And Its Associations With Maternal And Fetal Outcomes: A Secondary Analysis Of The Pears Trial, Sarah Louise Killen, Catherine M. Phillips, Anna Delahunt, Cara A. Yelverton, Nitin Shivappa Mbbs, Mph, Ph.D., James Hébert Scd, Maria A. Kennelly, Martina Cronin, John Mehegan, Fionnuala M. Mcauliffe

Faculty Publications

We investigated the effect of an antenatal lifestyle intervention of a low-glycaemic index (GI) diet and physical activity on energy-adjusted dietary inflammatory index (E-DIITM) and explored its relationship with maternal and child health in women with overweight and obesity. This was a secondary analysis of 434 mother−child pairs from the Pregnancy Exercise and Nutrition Study (PEARS) trial in Dublin, Ireland. E-DII^TM scores were calculated for early (10–16 weeks) and late (28 weeks) pregnancy. Outcomes included lipids, inflammation markers, insulin resistance, mode of delivery, infant size, pre-eclampsia, and gestational diabetes. T-tests were used to assess changes in E-DII^TM. …

Bayesian Quadrature With Prior Information: Modeling And Policies, Henry Chai

McKelvey School of Engineering Theses & Dissertations

Quadrature is the problem of estimating intractable integrals. Such integrals regularly arise in engineering and the natural sciences, especially when Bayesian methods are applied; examples include model evidences, normalizing constants and marginal distributions. This dissertation explores Bayesian quadrature, a probabilistic, model-based quadrature method. Specifically, we study different ways in which Bayesian quadrature can be adapted to account for different kinds of prior information one may have about the task. We demonstrate that by taking into account prior knowledge, Bayesian quadrature can outperform commonly used numerical methods that are agnostic to prior knowledge, such as Monte Carlo based integration. We focus …

Machine Learning In Complex Scientific Domains: Hospitalization Records, Drug Interactions, Predictive Modeling And Fairness For Class Imbalanced Data, Arghya Datta

McKelvey School of Engineering Theses & Dissertations

Machine learning has demonstrated potential in analyzing large, complex datasets and has become ubiquitous across many fields of scientific research. As machine learning is actively deployed in many complex and critical domains, it is essential for machine learning to engage with domain expertise to aid in knowledge discovery as well as address challenges in predictive modeling in complex domains. Domain expertise represents an essential and elaborate collection of knowledge that is often under-utilized when applying machine learning in complex domains. In this dissertation, I have addressed existing challenges regarding knowledge discovery in complex domains via engagement with domain expertise, particularly …

Preference Elicitation In Constraint-Based Models: Models, Algorithms, And Applications, Atena M. Tabakhi

McKelvey School of Engineering Theses & Dissertations

Constraint-based models offer powerful approaches for describing and resolving many combinatorial optimization problems in a centralized or distributed environment. In such models, the goal is to find a value assignment to a set of variables given a set of preferences expressed by means of cost functions such that the sum over all costs is optimized. The importance of constraint-based models is outlined by the impact of their applications in a wide range of agent-based systems. Many real-life combinatorial problems can be naturally formalized using constraint-based models. Examples of such applications are supply-chain management, roster scheduling, meeting scheduling, combinatorial auctions, bioinformatics, …

Reasoning About Scene And Image Structure For Computer Vision, Zhihao Xia

McKelvey School of Engineering Theses & Dissertations

The wide availability of cheap consumer cameras has democratized photography for novices and experts alike, with more than a trillion photographs taken each year. While many of these cameras---especially those on mobile phones---have inexpensive optics and make imperfect measurements, the use of modern computational techniques can allow the recovery of high-quality photographs as well as of scene attributes.

In this dissertation, we explore algorithms to infer a wide variety of physical and visual properties of the world, including color, geometry, reflectance etc., from images taken by casual photographers in unconstrained settings. We specifically focus on neural network-based methods, while incorporating …

Association Of Structural Variation (Sv) With Cardiometabolic Traits In Finns, Lei Chen

Arts & Sciences Electronic Theses and Dissertations

Cardiovascular diseases (CVDs) are known to be associated with a variety of quantitative risk factors such as cholesterol, metabolites, and insulin. Understanding the genetic basis of these quantitative traits can shed light on the etiology, prevention, diagnosis, and treatment of disease. However most prior trait-mapping studies have focused on single nucleotide variants (SNVs) and Indels, with the contribution of structural variation (SV) remaining unknown. In this thesis, we present the results of a study examining genetic association between SVs and cardiometabolic traits in the Finnish population. In the first chapter, we used sensitive methods to identify and genotype 129,166 high-confidence …

Computational Approaches For Screening Drugs For Bioactivation, Reactive Metabolite Formation, And Toxicity, Noah Flynn

Arts & Sciences Electronic Theses and Dissertations

Cytochrome P450 enzymes aid in the elimination of a preponderance of small molecule drugs, but can generate reactive metabolites that may adversely conjugate to protein and DNA, in a process known as bioactivation, and prompt adverse reaction, drug candidate attrition, or market withdrawal. Experimental assays are low-throughput and expensive to perform, so they are often reserved until later stages of the drug development pipeline when the drug candidate pools are already significantly narrowed. Reactive metabolites also elude in vivo detection, as they are transitory and generally do not circulate. In contrast, computational methods are high-throughput and cheap to screen millions …

Electronic, Optical, And Magnetic Properties Of Novel Two-Dimensional Materials, Xiaobo Lu

Arts & Sciences Electronic Theses and Dissertations

The field of two-dimensional(2D) materials is experiencing rapid growth and attracting tremendous research interests within the condensed matter community due to its ultimate thickness dimension and unique physical properties. The consistently emerging novel 2D materials not only provide extraordinary intrinsic properties of their single layer and multi- layer structures but also exhibit fascinating responses to the tunable external conditions. The fertile contents and boundless possibilities of novel 2D materials make it one of the pivots of modern nanotechnology towards deepening the physics understanding and promising practical applications.

In the first part of the thesis, we reveal the distinct Stark effects …

Market Making In A Limit Order Book: Classical Optimal Control And Reinforcement Learning Approaches, Chuyi Yu

Arts & Sciences Electronic Theses and Dissertations

Since the last decade, algorithmic trading has become one of the most significant developments in electronic security markets. Several types of problems and practices have been studied such as optimal execution, market making, statistical arbitrage, latency arbitrage, and so on. Among these, high-frequency market making plays a crucial role since it provides large liquidity to the market, which makes trading and investing cheaper for other market participants, and also creates sizable profits for high-frequency market makers (HFM) from the large quantity of round-trip executions involved in such practices. In this thesis, we discuss two approaches to solve the high-frequency market …

Enantioselective Synthesis Of Β-Amino Acid Derivatives Using Amidine-Based And Bifunctional Organocatalysts, Matthew Robert Straub

Arts & Sciences Electronic Theses and Dissertations

Two new enantioselective methodologies have been developed that have important implications for the asymmetric synthesis of β-amino acids and their derivatives. First, chiral amidine-based catalyst (ABC) HBTM-2 catalyzed an asymmetric cyclocondensation between in situ activated fluoroacetic acid and N-sulfonyl aldimines to give α-fluoro-β-lactams in highly enantioenriched form, achieving modest to excellent diastereoselectivities. These reactive lactams can then be quenched with various alcohols and amines to deliver the α-fluoro-β-amino acid derivatives in moderate isolated yields. Secondly, bifunctional double hydrogen bond donor-amine organocatalysts enable the catalytic alcoholysis of various racemic N-carbalkoxy-3-substituted isoxazolidin-5-ones, resulting in their kinetic resolution. The enantioenriched unreacted isoxazolidinone and …

Globally Conservative Solutions For The Modified Camassa–Holm (Moch) Equation, Zhaonan Luo, Zhijun Qiao, Zhaoyang Yin

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

In this paper, we present the globally conservative solutions to the Cauchy problem for the modified Camassa–Holm (MOCH) equation. First, we transform the equation into an equivalent semi-linear system under new variables. Second, according to the standard ordinary differential equation theory with the aid of the conservation law, we give the global solutions of the semi-linear system. Finally, returning to the original variables, we obtain the globally conservative solutions to the MOCH equation.

Does Landcare Result In Changes In Perceptions Of Livestock Keepers On Sustainable Use Of Natural Resources? An Example From Sterkspruit In South Africa, W. M. Goqwana, C. Machingura, Z. Mdlulwa, R. Mkhari, O. Mmolaeng, A. O. Selomane

IGC Proceedings (1993-2023)

No abstract provided.

Developing Tropical Forage Technologies With Farmers In China, Kexian Yi, Jun Tang, Huaxuan He, Hanlin Zhou, Wangliang Xia

IGC Proceedings (1993-2023)

No abstract provided.