Digital Commons Network^™

Background And Implications Of China's E-Cny, Jiaying Jiang, Karman Lucero

University of Florida Journal of Law & Public Policy

The People’s Republic of China is a leading experimenter in central bank digital currencies (CBDCs). This Article explores the current background, deployment, features, potential impacts, challenges, and legal concerns of China’s CBDC: the electronic yuan, or E-CNY. This Article explains the potential significance of what is known and not known about E-CNY with a particular focus on how E-CNY might fit into existing legal and economic systems, both within China and internationally. On the surface, E-CNY looks transformative. When you dig a little deeper, however, most of the potential changes or transformations turn on broader institutional, political, and legal changes …

Tennessee Higher Education Fact Book 2021-2022, Tennessee. Higher Education Commission.

Higher Education Fact Book

No abstract provided.

Improving The Pipeline For Tennessee's Workforce, Academic Supply For Occupational Demand Report 2022, Tennessee. Higher Education Commission.

Academic Programs and Workforce Reports

No abstract provided.

Tennessee Higher Education Fact Book 2022-2023

Higher Education Fact Book

No abstract provided.

Chairs Of Excellence Annual Report 2023, Tennessee. Higher Education Commission.

Academic Programs and Workforce Reports

No abstract provided.

Land Systems, Soils And Vegetation Of The Southern Goldfields And Great Western Woodlands Of Western Australia - Volume 1, Peter-Jon A. Waddell, Paul Galloway

Technical Bulletins

This technical bulletin defines and maps the land resources of the southern Goldfields region of Western Australia (WA). The southern Goldfields region, as featured in this bulletin, covers 151,753 km². The western and eastern borders are variable because they align with various cadastral boundaries. The western survey border, which in part follows the WA State Barrier Fence, demarcates cleared agricultural land from the intact, western extent of the Great Western Woodlands. The eastern border abuts the westernmost Nullarbor pastoral lease boundaries, except for the north-easternmost and south-easternmost edges which continue into Crown land. Major towns are Coolgardie, Kalgoorlie …

Land Systems, Soils And Vegetation Of The Southern Goldfields And Great Western Woodlands Of Western Australia - Volume 2, Peter-Jon A. Waddell, Paul Galloway

Technical Bulletins

This technical bulletin defines and maps the land resources of the southern Goldfields region of Western Australia (WA). The southern Goldfields region, as featured in this bulletin, covers 151,753 km². The western and eastern borders are variable because they align with various cadastral boundaries. The western survey border, which in part follows the WA State Barrier Fence, demarcates cleared agricultural land from the intact, western extent of the Great Western Woodlands. The eastern border abuts the westernmost Nullarbor pastoral lease boundaries, except for the north-easternmost and south-easternmost edges which continue into Crown land. Major towns are Coolgardie, Kalgoorlie …

Parent Satisfaction Of Daily Organized Physical Education For Children With Autism Spectrum Disorder, Cody Mills

Master's Theses

Daily structured physical education programming should be protected to support the achievement of goals set within an individual education plan (IEP) for students with autism spectrum disorder (ASD). To ensure this is a priority, parent satisfaction is necessary to prioritize a healthy partnership between home and school. The objective of this research study is to identify the level of parent/guardian satisfaction in school-based and community-based daily organized physical education provided for children with autism. The research will determine if parents/guardians are wholly satisfied with the programming provided by their child’s school, or if greater satisfaction is attained when parents outsource …

Source Credibility In The Community Service Of Financial Literacy For Indonesian Vocational School Students, Neneng Salmiah, Afred Suci, Rita Wiyati

ASEAN Journal of Community Engagement

This paper examines the credibility of source persons for community service projects in improving financial literacy for vocational school students in Indonesia. Improving financial literacy among Indonesian youth is a long-term effort that requires multi- collaboration between the government, financial institutions, educational institutions, NGOs, and other stakeholders. Despite its substandard position to Singapore, Myanmar, and Malaysia, Indonesia’s financial literacy proficiency has improved significantly—one of which—after being catalyzed by the government’s cooperation with higher education institutions through community service programs. However, amid these improvements, greater attention must be given to capital markets, whose literacy level is most deficient compared to the …

Exploring Diy Urbanism: Housewives’ Participation In Recycling Used Cooking Oil For Candle Making In Tangerang, Indonesia, Ranti An Nisaa Ms., Dewi Pudji Rahayu Ms., Suci Lestari Ms.

ASEAN Journal of Community Engagement

This study explores the do-it-yourself (DIY) project in an urban context, a candle making with recycled used cooking oil (UCO), aiming to empower housewives in Gaga Village, Tangerang, Indonesia. UCO, a household waste material, becomes a trigger for this project because it pollutes the environment and reduces soil fertility if discarded unresponsible. In this scenario, involving the participation of urban housewives can be a way to address this issue. Urban housewives have spare time between their daily activities and present great potential in such a project. Recycling UCO for candle- making material arguably can increase the family’s economic capacity and, …

Competition And Herbivory Influence The Survival, Growth, And Physiology Of Native Tree Seedlings In The Kentucky Inner Bluegrass Savanna-Woodland, James D. Shaffer

Theses and Dissertations--Biology

Terrestrial plant communities are shaped by competition for resources, herbivory, and abiotic processes. Savanna systems represent a dynamic coexistence of contrasting life forms (grasses and trees) shaped by competition and disturbance. The Kentucky Inner Bluegrass Savanna-Woodland (KIBSW) is described as an open woodland of shade intolerant species; however, climatic, and edaphic conditions can support closed-canopy forest. After European pioneer settlement (c1750-1800), over 99% of “savanna-woodlands” have been lost. KIBSW remnants are experiencing a recruitment failure, leading to a dominance shift in tree communities. I researched how tree-grass competition and mammalian herbivory influence KIBSW regeneration and maintenance. The KIBSW does not …

Multilevel Phenotypic Integration Of Metabolism And Behavior In House Sparrows And Mice, Tim Salzman

Theses and Dissertations--Biology

Patterns of multilevel variation in behavior, both within and among individuals, raise challenging questions about underlying mechanisms and the selective pressures acting on them. One intriguing hypothesis is that physiology shows parallel multilevel variation, and so might represent a latent trait that integrates multilevel behavioral responses. For example, foraging acquires the fuel needed to maintain metabolism, and in turn, an individual’s metabolism affects expression of foraging, and other, behaviors. Metabolism and behavior thus might coevolve to become integrated traits. Despite the appeal of this hypothesis, numerous investigations into the link between metabolism and behavior have yielded largely equivocal results.

To …

A Survey Of Vision And Force Guidance In Robot Manipulation, Yicheng Zhu, Xiaoyi Wu, Qiyu Meng, Yun-Hsuan Su, Biao Zhang, Kevin Huang

Engineering: Faculty Publications

This manuscript provides a survey of seminal and state-of-the-art methods for visual guidance and force control in robotic manipulation, with particular interest in combined vision and force methods. Other reviews outline similar methods; however, they present outdated approaches and thus lack recent pertinent breakthroughs. The purpose of this report, therefore, is to provide a holistic review of the most recent research advances in vision and force integration for robotic manipulation and the supporting prior art they rely on. In this document, both visual guidance and force control methods are explored from a historical perspective. Additionally, the general technical approaches to …

Propagation Of Laguerre-Gaussian Laser Beams Through Heat-Induced Optical Turbulence, Samantha Jo Gregory

Dissertations

Low order Laguerre-Gaussian beams have been produced (from the Hermite-Gaussian profile emitted by a Helium-Neon laser) in the UAH Turbulence Lab. Both collimated and converging beams propagate a free space path (with and without turbulence) of 164m in the current experimental arrangement. Experimental data showing the relationship between the spatial coherence radius of a lowest order Gaussian beam and the Fried parameter has been verified. Data supporting a new relationship between the low order Laguerre-Gaussian spatial coherence radius (now defined as the ouroboros radius) and the Fried parameter has been collected and analyzed. The index of refraction structure constant values …

Exploring Reliability Issues In Non-Volatile Memories Using Numerical Simulation, Sijay Huang

Dissertations

Semiconductor non-volatile memory (NVM) devices are predominantly used for storing the large amount of data produced by the proliferation of the Internet of Things (IoT), mobile networks, and sensor node applications. Since data are growing at an exponential rate, future NVM solutions need to provide even higher bit densities, superior performance, better energy efficiency, and improved resilience. Technological scaling has been the primary driving force for increasing the bit density of semiconductor NVM technologies. However, the scaling leads to reliability challenges, such as endurance, data retention, and thermal noise effects. This dissertation numerically evaluates reliability issues associated with the two …

A Comprehensive Study Of Deep Learning Frameworks For Uavs-Centric Land Remote Sensing Data Analysis Applications, Bishwas Praveen

Dissertations

Land Remote Sensing data analysis presents a distinctive Artificial Intelligence (AI) research paradigm bolstered through its rich collection of data, which are high-dimensional, generally in the form of tens/hundreds of spectral bands, and accommodates significant spatial and spectral/temporal information about the underlying terrain. Traditional remote sensing data analysis methodologies in literature are often observed to be biased towards providing more importance to spectral information, which evidently hurts the efficacy of such approaches. As a result, a considerable amount of effort in terms of research has been invested in effectively building data analysis methodologies which are spatial-, spectral-, and contextual-information inclusive, …

Molecular Interactions In Engineering: Peptide-Driven T Cell Activation And Accelerated Drug Discovery Applications, Armin Ahmadi

Dissertations

In pursuit of an interdisciplinary exploration of molecular interactions from an engineering perspective with a focus on protein-protein and protein-small molecule interactions, multiple research projects were undertaken, leveraging both experimental and computational approaches. The focus of the wet-lab experimental project was on the identification and evaluation of a novel peptide ligand that binds specifically to the human CD3ε and study how this interaction influences T-Cell activation, proliferation, and calcium signaling. A novel peptide ligand, WSLGYTG, was discovered through phage display peptide technology. Peptide interaction to the CD3ε receptor was simulated using molecular docking calculations. This peptide ligand was synthesized and …

Extending Machine Learning Of Cyberattack Strategies With Continuous Transition Rates, Edwin Michael Bearss

Dissertations

Cyberattacks are a growing threat to organizations of all sizes and industries. By better understanding these attacks, better ways to defend against them can be developed. Petri Nets with Players, Strategies, and Costs (PNPSC) is an extension of Petri nets specifically designed to model cyberattacks. The PNPSC formalism includes a representation of the strategies used by the competing players, i.e., attacker and defender, to achieve their goals. This formalism has been the basis for a long-running research program consisting of several interconnected research projects. Projects within that program include automatically generating PNPSC nets from the MITRE Common Attack Pattern Enumeration …

Modeling Energetic Particle Acceleration By Dynamic Small-Scale Flux Ropes In The Inner Heliosphere, Keaton Thomas Van Eck

Dissertations

Interplanetary coronal mass ejections (ICMEs) are major drivers of space weather in the inner heliosphere (which can negatively affect our spacecraft, astronauts, etc.). Traditionally, the scientific community has sought to explain energetic particle acceleration near ICME-driven shocks by invoking diffusive shock acceleration (DSA), which has been well studied. However, recent studies suggest that processes related to magnetic reconnection behind ICME-driven shocks can explain observed flux enhancements that contradict predictions by standard steady state DSA theory. In the previous decade, a combination of DSA at and acceleration by dynamic small-scale flux-ropes (SMFRs) downstream of the shock has been introduced to explain …

A Monoadduct Generating Ru(Ii) Complex Induces Ribosome Biogenesis Stress And Is A Molecular Mimic Of Phenanthriplatin, Richard Joseph Mitchell, Sarah M. Kriger, Alexander D. Fenton, Dmytro Havrylyuk, Ankit Pandeya, Yang Sun, Tami Smith, Jason E. Derouchey, David K. Heidary, Edith C. Glazer

Markey Cancer Center Faculty Publications

Ruthenium complexes are often investigated as potential replacements for platinum-based chemotherapeutics in hopes of identifying systems with improved tolerability in vivo and reduced susceptibility to cellular resistance mechanisms. Inspired by phenanthriplatin, a non-traditional platinum agent that contains only one labile ligand, monofunctional ruthenium polypyridyl agents have been developed, but until now, few demonstrated promising anticancer activity. Here we introduce a potent new scaffold, based on [Ru(tpy)(dip)Cl]Cl (tpy = 2,20:60,200-terpyridine and dip = 4,7-diphenyl-1,10-phenanthroline) in pursuit of effective Ru(II )-based monofunctional agents. Notably, the extension of the terpyridine at the 40 position with an aromatic ring resulted in a molecule that …

Computational Investigation Of A Series Of Small Molecules As Potential Compounds For Lysyl Hydroxylase-2 (Lh2) Inhibition, Yazdan Maghsoud, Erik Antonio Vázquez-Montelongo, Xudong Yang, Chengwen Liu, Zhifeng Jing, Juhoon Lee, Matthew Harger, Ally K. Smith, Miguel Espinoza, Hou-Fu Guo, Jonathan M. Kurie, Kevin N. Dalby, Pengyu Ren, G. Andrés Cisneros

Markey Cancer Center Faculty Publications

The catalytic function of lysyl hydroxylase-2 (LH2), a member of the Fe(II)/αKG-dependent oxygenase superfamily, is to catalyze the hydroxylation of lysine to hydroxylysine in collagen, resulting in stable hydroxylysine aldehyde-derived collagen cross- links (HLCCs). Reports show that high amounts of LH2 lead to the accumulation of HLCCs, causing fibrosis and specific types of cancer metastasis. Some members of the Fe(II)/αKG-dependent family have also been reported to have intramolecular O2 tunnels, which aid in transporting one of the required cosubstrates into the active site. While LH2 can be a promising target to combat these diseases, efficacious inhibitors are still lacking. We …

Polycomb Deficiency Drives A Foxp2-High Aggressive State Targetable By Epigenetic Inhibitors, Fan Chen, Aria Byrd, Jinpeng Liu, Robert M. Flight, Tanner Ducote, Kassandra J. Naughton, Xiulong Song, Abigail R Edgin, Alexsandr Lukyanchuk, Danielle T. Dixon, Christian M. Gosser, Dave-Preston Esoe, Rani Jayswal, Stuart H. Orkin, Hunter N. B. Moseley, Chi Wang, Christine Fillmore Brainson

Markey Cancer Center Faculty Publications

Inhibitors of the Polycomb Repressive Complex 2 (PRC2) histone methyltransferase EZH2 are approved for certain cancers, but realizing their wider utility relies upon understanding PRC2 biology in each cancer system. Using a genetic model to delete Ezh2 in KRAS-driven lung adenocarcinomas, we observed that Ezh2 haplo-insufficient tumors were less lethal and lower grade than Ezh2 fully-insufficient tumors, which were poorly differentiated and metastatic. Using three-dimensional cultures and in vivo experiments, we determined that EZH2-deficient tumors were vulnerable to H3K27 demethylase or BET inhibitors. PRC2 loss/inhibition led to de-repression of FOXP2, a transcription factor that promotes migration and stemness, and FOXP2 …

Multi-Label Text Classification With Transfer Learning, Likhitha Yelamanchili

Master's Projects

Multi-label text categorization is a crucial task in Natural Language Processing, where each text instance can be simultaneously assigned to numerous labels. This project's goal is to assess how well several deep learning models perform on a real-world dataset for multi-label text classification. We employed data augmentation techniques like Synonym Substitution and Random Word Substitution to address the problem of data imbalance. We conducted experiments on a toxic comment classification dataset to evaluate the effectiveness of several deep learning models including Bi-LSTM, GRU, and Bi-GRU, as well as fine- tuned pre-trained BERT models. Many metrics, including log loss, recall@k, and …

Hate Speech Detection In Hindi, Pranjali Prakash Bansod

Master's Projects

Social media is a great place to share one’s thoughts and to express oneself. Very often the same social media platforms become a means for spewing hatred.The large amount of data being shared on these platforms make it difficult to moderate the content shared by users. In a diverse country like India hate is present on social media in all regional languages, making it even more difficult to detect hate because of a lack of enough data to train deep/ machine learning models to make them understand regional languages.This work is our attempt at tackling hate speech in Hindi. We …

Nitrogen Behavior In A No-Tillage Agroecosystem Located In The Inner Bluegrass Of Kentucky, Alec William Besinger Mr.

Theses and Dissertations--Plant and Soil Sciences

Nitrogen (N) is a crucial element, often limiting productivity in ecosystems. This limitation is relieved N fertilizer additions. No-tillage (NT) agroecosystems are prone to lower N availability translating to lower crop yields. The default explanation for lower N availability in NT is microbial immobilization of added N fertilizer. Historically, N availability is often assessed using chemical extractions such as KCl to evaluate levels of inorganic N in the soil. The possibility of this abiotic clay mineral fixation as mechanism in well-drained NT soils has been overlooked. The objectives of this study are to quantify N availability using KCl, NaCl, and …

A Phase Change Memory And Dram Based Framework For Energy-Efficient And High-Speed In-Memory Stochastic Computing, Supreeth Mysore

Theses and Dissertations--Electrical and Computer Engineering

Convolutional Neural Networks (CNNs) have proven to be highly effective in various fields related to Artificial Intelligence (AI) and Machine Learning (ML). However, the significant computational and memory requirements of CNNs make their processing highly compute and memory-intensive. In particular, the multiply-accumulate (MAC) operation, which is a fundamental building block of CNNs, requires enormous arithmetic operations. As the input dataset size increases, the traditional processor-centric von-Neumann computing architecture becomes ill-suited for CNN-based applications. This results in exponentially higher latency and energy costs, making the processing of CNNs highly challenging.

To overcome these challenges, researchers have explored the Processing-In Memory (PIM) …

Application Of Conventional Feedforward And Deep Neural Networks To Power Distribution System State Estimation And State Forecasting, James Paul Carmichael

Theses and Dissertations--Electrical and Computer Engineering

Classical neural networks such as feedforward multilayer perceptron models (MLPs) are well established as universal approximators and as such, show promise in applications such as static state estimation in power transmission systems. This research investigates the application of conventional neural networks (MLPs) and deep learning based models such as convolutional neural networks (CNNs) and long short-term memory networks (LSTMs) to mitigate challenges in power distribution system state estimation and forecasting based upon conventional analytic methods. The ability of MLPs to perform regression to perform power system state estimation will be investigated. MLPs are considered based upon their promise to learn …

Modeling The Early Visual System, Nicholas Lanning

Theses and Dissertations--Electrical and Computer Engineering

There are two encoding schema present in simple cells in the early visual system of vertebrates: the retinal simple cells activate highly when the receptive field contains a center surround stimulus, while the primary visual cortex’s (V1) simple cells activate highly when the receptive field contains visual edges. Work has been done in the past to enforce constraints on visual machine learning such that the retinal or V1 encoding is learned, but this work is often done to emulate retinal and V1 encoding in a vacuum. Recent work using convolutional neural networks focuses on anatomical constraints along with a supervised …

Phys 275: Intro To Scientific Computing, David Goldberg

Open Educational Resources

No abstract provided.

Astr 1: General Astronomy, David Goldberg

Open Educational Resources

No abstract provided.