Digital Commons Network^™

Er Translocon Inhibitor Ipomoeassin F Inhibits Triple-Negative Breast Cancer Growth Via Blocking Er Molecular Chaperones, Shishi Tao, Eun Ju Yang, Guanghui Zong, Pui Kei Mou, Guowen Ren, Liang Chen, Ho Jeong Kwon, Jianhong Zhou, Zhijian Hu, Arman Khosravi, Qingyang Zhang, Yuchun Du, Wei Q. Shi, Joong Sup Shim

Biological Sciences Faculty Publications and Presentations

Triple-negative breast cancer (TNBC) is an aggressive type of breast cancer where no effective therapy has been developed. Here, we report that the natural product ER translocon inhibitor ipomoeassin F is a selective inhibitor of TNBC cell growth. A proteomic analysis of TNBC cells revealed that ipomoeassin F significantly reduced the levels of ER molecular chaperones, including PDIA6 and PDIA4, and induced ER stress, unfolded protein response (UPR) and autophagy in TNBC cells. Mechanistically, ipomoeassin F, as an inhibitor of Sec61α-containing ER translocon, blocks ER translocation of PDIA6, inducing its proteasomal degradation. Silencing of PDIA6 or PDIA4 by RNA interferences …

Accurate Covariance Estimation For Pose Data From Iterative Closest Point Algorithm, Rick H. Yuan, Clark N. Taylor, Scott L. Nykl

Faculty Publications

One of the fundamental problems of robotics and navigation is the estimation of the relative pose of an external object with respect to the observer. A common method for computing the relative pose is the iterative closest point (ICP) algorithm, where a reference point cloud of a known object is registered against a sensed point cloud to determine relative pose. To use this computed pose information in downstream processing algorithms, it is necessary to estimate the uncertainty of the ICP output, typically represented as a covariance matrix. In this paper, a novel method for estimating uncertainty from sensed data is …

Antitrust And Sustainability: A Landscape Analysis, Columbia Center On Sustainable Investment, Sabin Center For Climate Change Law

Columbia Center on Sustainable Investment

Competition policy and antitrust law are experiencing a global renaissance. New market realities such as digital market gatekeepers, the financialization of firms, highly concentrated markets, a rising labor movement, industrial policy, and trade wars, among others, are radically reshaping how this policy area is understood and applied.

Sustainability concerns have also been a driving force for reconstituting antitrust to meet twenty-first century challenges. It is now widely accepted that competition policy – both its aims and its enforcement – has wider societal impacts beyond competition, including effects on democracy, economic inequality, growth and innovation, racial and gender imbalances, privacy, geopolitical …

An Evolutionary Comparative Study Of Congenital Stationary Night Blindness-Associated Trpm1 Genetic Variants Of Uncertain Significance In Horses And Humans Utilizing Caenorhabditis Elegans, Gabrielle Davis

Theses

Congenital stationary night blindness (CSNB) is a heterogeneous collection of genetic diseases affecting the eyes and vision in horses and humans. Current research has implicated several genetic mutations impacting different genes involved in phototransduction and signal transmission, including TRPM1. In horses, genetic mutations in TRPM1 also result in a leopard spotting pattern or leopard complex. The goal of this study is to examine the potential impact of CSNB associated TRPM1 missense variants of uncertain significance (VUS). Previous research in Caenorhabditis elegans have revealed an orthologous TRPM1 gene known as gon-2 that allows for comparative studies. The evolutionary relationship of …

Enhancing And Securing Wireless Medical Technology For Diagnosis And Treatment Of Lower Urinary Tract Dysfunction, Farhath Zareen

USF Tampa Graduate Theses and Dissertations

Lower urinary tract dysfunction (LUTD) is a debilitating medical condition that affects millions of individuals worldwide. Urodynamics is the current gold standard for diagnosing LUTD but uses non-physiologically fast, retrograde cystometric filling to obtain a brief snapshot of bladder function. Current state-of-the-art research in bladder monitoring includes ambulatory urodynamics using wireless implantable devices to evaluate bladder function during natural filling for long-term monitoring. However, there are various challenges and limitations to this multi-sensor approach. This research focuses on developing frameworks for automated event detection, data analysis, and optimization of long-term bladder recordingsto improve the diagnosis and treatment of LUTD. In …

2022 Survey Of Illinois Law: Family Law, Stephanie L. Tang

Southern Illinois University Law Journal

In 2022, there were significant changes to both family law legislation and case law. Relevant legislative changes include allowing litigants to seek attorney’s fees to retain a lawyer, allowing for temporary relocation, and clarifying when a change in circumstances is “contemplated” for purposes of modifying child support. Illinois courts also adjudicated cases across all areas of family law. These areas ranged from expanding on prior case precedent in areas like property division and allocation of parental responsibilities to establishing new precedent in others, including COVID-19 restrictions and allocation of frozen embryos.

This Article is a continuation of the 2017-2018 and …

Edge Covers Of Joined Cycle And Path Graphs, Rowan Kennedy

Mathematics Undergraduate Research

A graph is a mathematical structure consisting of vertices, representing objects, and edges that connect pairs of vertices, representing relationships between objects. When a specific graph structure can be extended in a consistent pattern we get a graph family, such as the families of path and cycle graphs. An edge cover of a graph is a subset of the graph's edges chosen so that each vertex is an endpoint of at least one edge in this subset. The edge cover counts of certain graph families, such as the path and cycle graphs, correspond to known sequences, the Fibonacci and Lucas …

Hurricane Impacts On Land In The Central And Eastern Caribbean Since 1494 Ce From Written Records, Michael Chenoweth, Ian Howard

Geosciences Faculty Publications and Presentations

Written accounts of hurricanes and their impacts in the Caribbean region date back to 1494 CE We report a new compilation of hurricanes in the longest settled regions of the central and eastern Caribbean region (CECR) that is the most complete yet produced and present basic statistics. We assess likely undercounts of hurricanes due to incomplete documentary records in the earliest part of the record by using the most complete reporting from Puerto Rico relative to the remainder of the CECR. We compare our results with other documentary and proxy data from the region and demonstrate using wavelet analysis significant …

Forecasting Sea Level Rise-Driven Inundation In Diked And Tidally Restricted Coastal Lowlands, K. M. Befus, A. P.D. Kurnizki, K. D. Kroeger, M. J. Eagle, T. P. Smith

Geosciences Faculty Publications and Presentations

Diked and drained coastal lowlands rely on hydraulic and protective infrastructure that may not function as designed in areas with relative sea-level rise. The slow and incremental loss of the hydraulic conditions required for a well-drained system make it difficult to identify if and when the flow structures no longer discharge enough water, especially in tidal settings where two-way flows occur through the dike. We developed and applied a hydraulic mass-balance model to quantify how water levels in the diked and tidally restricted coastal wetlands and water bodies dynamically respond to sea-level rise, specifically applied to the Herring River Estuary …

Encoding And Storage Of Information In Mechanical Metamaterials, Zhiqiang Meng, Hujie Yan, Mingchao Liu, Wenkai Qin, Guy M Genin, Chang Qing Chen

2020-Current year OA Pubs

Information processing using material's own properties has gained increasing interest. Mechanical metamaterials, due to their diversity of deformation modes and wide design space, can be used to realize information processing, such as computing and storage. Here a mechanical metamaterial system is demonstrated for material-based encoding and storage of data through programmed reconfigurations of the metamaterial's structured building blocks. Sequential encoding and decoding are achieved in the three-dimensional (3D) printed pixelated mechanical metamaterial via kirigami-based "pixels" with programmable, temperature-dependent bistability. The mechanical metamaterial is demonstrated via a multistep deformation of encoding messages of texts and surfaces with arrays of binary data, …

Revisiting The Properties Of X-Ray Active Galactic Nuclei In The Ssa22 Protocluster: Normal Supermassive Black Hole And Host-Galaxy Growth For Agns In A Z=3.09 Overdensity, Erik B. Monson, Keith Doore, Rafael T. Eufrasio, Bret D. Lehmer, David M. Alexander, Chris M. Harrison, Mariko Kubo, Cristian Saez, Hideki Umehata

Physics Faculty Publications and Presentations

We analyze the physical properties of eight X-ray-selected active galactic nuclei (AGNs) and one candidate protoquasar system (ADF22A1) in the z = 3.09 SSA22 protocluster by fitting their X-ray-to-IR spectral energy distributions (SEDs) using our SED-fitting code, Lightning (https://www.github.com/rafaeleufrasio/lightning). We recover star formation histories (SFHs) for seven of these systems which are well fit by composite stellar population plus AGN models. We find indications that four out of nine of the SSA22 AGN systems we study have host galaxies below the main sequence, with SFR/SFRMS ≤ −0.4. The remaining SSA22 systems, including ADF22A1, are consistent with obscured supermassive black hole …

Applying Homomorphic Encryption To A Cross Domain Problem, Cheyenne Dailey

Theses

The Cross Domain Problem (CDP) strives to ensure protected data transference across varying security domains. In order to accomplish this, a Cross Domain Solution (CDS) is needed. A common method to protect data is to focus on risk management between trusted parties; however, untrusted parties pose ongoing concern. The problem is determining a method that transfers classified data through various security domains without exposing any information to intermediary parties. Attempts to mitigate this problem have been made utilizing Homomorphic Encryption (HE), a type of encryption that allows for computations to be executed on encrypted data without needing to decrypt it. …

Diffractive Light And Solar Sails, Prateek Ranjan Srivastava

Theses

In the realm of space exploration, humanity has achieved remarkable feats like landing humans on the moon. However, our progress in venturing beyond our solar system has been limited. Light sails, which utilize photon momentum from laser or solar radiation, o↵er a promising propulsion technology. Unlike traditional rockets, light sails carry no fuel and can achieve high velocities and precise orbital maneuvers. In this research, we propose using an elementary space variant di↵ractive film to design passively stable light sails propelled by laser radiation. We also explore applying this concept to solar sails, enabling spiral trajectories and high orbital inclination …

A Privacy Safeguarding Framework For The Smart Grid, Gaurav Shivaji Wagh

Theses

The smart grid is an outcome of integrating communication technologies with traditional electrical systems. This enables the collection of granular metering data from the customer domain for providing grid and billing functionalities. However, the data collection process exposes the grid to various cyberattacks, posing a significant threat to customer privacy. This is a critical concern for the smart grid community and has hindered the global adoption of the smart grid technology. Although aggregation-based frameworks show promise for sharing metering data with the Electrical Service Provider while maintaining customer privacy, existing aggregation-based frameworks have several limitations. Some of these limitations include …

Engaging Young Female Students In Digital Technology Programs: Part One, Sarah Buckley, Syeda Kashfee Ahmed, Kristy Osborne, Celia Mcneilly, Shani Sniedze, Rachel Felgate

Digital learning research

This report is part of a larger project commissioned by CSIRO and designed to highlight the enablers and barriers to young female students engaging with digital technology. By addressing this function, the report will thereby aid CSIRO to increase the participation of young female students in the digital technology programs offered by CSIRO’s Education and Outreach (CEdO) unit. CSIRO’s Digital Careers team have developed activities and resources to enhance and extend students’ computational thinking skills and to develop other integral skills such as teamwork, critical and creative thinking, and problem solving. In collaboration with industry partners, CEdO are responsible for …

Mentoring Experiences Of Undergraduate Students And Faculty Members In Science, Technology, Engineering, And Mathematics, Pamela Martínez Oquendo

School of Natural Resources: Dissertations, Theses, and Student Research

I present a comprehensive view of mentoring experiences of undergraduate students and faculty members in science, technology, engineering, and mathematics (STEM). In Chapter 1, I describe a brief outline of this dissertation. In Chapter 2, I present an interpretative phenomenological analysis of the lived experiences of former STEM undergraduate mentors of the Nebraska STEM For You (NE STEM 4U) afterschool mentoring program. In Chapter 3, I describe how the ramifications of faculty mentorship influence the science pipeline using a qualitative synthesis. In Chapter 4, I describe how the STEM faculty-student mentoring engagement involves a strong psychological support component using a …

The Effects Of Temperature And Flooding Duration On The Structure And Magnitude Of A Floodplain Prey Subsidy, Ryan J. Rezek, Jordan A. Massie, James A. Nelson, Rolando O. Santos, Natasha M. Viadero, W. Ryan James, Ross E. Boucek, Jennifer S. Rehage

Marine Science

Riverine floodplains serve as an important link between terrestrial and aquatic systems, as the rising and falling of water drive spatial food web subsidies that are critical to the functioning and stability of ecosystems. As these systems are increasingly impacted by hydrological alterations and climate change, it is important to understand how floodplain spatial food web subsidies may respond to changing environmental conditions.

Here, we examine the interannual variation in the structure of a sunfish (Lepomis spp.) prey subsidy from freshwater marshes into the mangrove-lined creeks of Rookery Branch in the Florida Coastal Everglades that occurs during seasonal dry downs. …

On The Variability Of In Situ Surface Layer Refractivity Measurements, Douglas M. Pastore, Ryan T. Yamaguchi, Qing Wang, Erin E. Hackett

Marine Science

Direct measurements of profiles of atmospheric properties near the ocean surface and within the marine atmospheric surface layer often contain a large degree of variability. The variability observed can be explained by numerous technical and natural reasons such as the temporal variability over the time span a profile is measured (unsteadiness in the mean), spatial variations (inhomogeneity), turbulent fluctuations, and measurement uncertainty. In this study, we explored the observed variability in vertical distributions of refractive index measured with a tethered-balloon-based marine atmospheric profiling system (MAPS). MAPS profiled the atmosphere from approximately 0.5 to 50 m, with instantaneous (order 1 s) …

The Finance And Economics Women’S Network (Few): Encouraging And Engaging Women In Undergraduate Programs, Joy Buchanan, Darwyyn Deyo

Faculty Research, Scholarly, and Creative Activity

We describe a novel intercollegiate resource for engaging more undergraduate women in finance and economics programs. In response to the gender gap in undergraduate studies, we developed the Finance and Economics Women’s Network (FEW) to support women majoring in finance and economics through FEW clubs. These clubs provide professional skill development and visibility for women in these professions through speaker events. Students run FEW clubs, and faculty advisors and community professionals support them. We also conducted a descriptive survey of students and report the responses. Finally, we provide a constitution template to facilitate the creation of FEW clubs.

Ocean Connectivity And Habitat Characteristics Predict Population Genetic Structure Of Seagrass In An Extreme Tropical Setting, Udhi E. Hernawan, Kor-Jent Van Dijk, Gary A. Kendrick, Ming Feng, Oliver Berry, Christopher Kavazos, Kathryn Mcmahon

Research outputs 2022 to 2026

Understanding patterns of gene flow and processes driving genetic differentiation is important for a broad range of conservation practices. In marine organisms, genetic differentiation among populations is influenced by a range of spatial, oceanographic, and environmental factors that are attributed to the seascape. The relative influences of these factors may vary in different locations and can be measured using seascape genetic approaches. Here, we applied a seascape genetic approach to populations of the seagrass, Thalassia hemprichii, at a fine spatial scale (~80 km) in the Kimberley coast, western Australia, a complex seascape with strong, multidirectional currents greatly influenced by extreme …

On Irs-Assisted Covert Communication With A Friendly Uav, Xiaobei Xu, Linzi Hu, Sha Wei, Yuwen Qian, Shihao Yan, Feng Shu, Jun Li

Research outputs 2022 to 2026

Driven by the rapidly growing demand for information security, covert wireless communication has become an essential technology and attracted tremendous attention. However, traditional wireless covert communication is continuously exposing the inherent limitations, creating challenges around deployment in environments with a large number of obstacles, such as cities with high-rise buildings. In this paper, we propose an intelligent reflecting surface (IRS)-assisted covert communication system (CCS) for communicating with a friendly unmanned aerial vehicle (UAV) in which the UAV generates artificial noise (AN) to interfere with monitoring. Furthermore, we model the power of AN emitted by the UAV using an uncertainty model, …

Spatial Patterns In Host-Associated And Free-Living Bacterial Communities Across Six Temperate Estuaries, Alessandra L. Suzzi, Michael Stat, Troy F. Gaston, Megan J. Huggett

Research outputs 2022 to 2026

A major goal of microbial ecology is to establish the importance of spatial and environmental factors in driving community variation. Their relative importance likely varies across spatial scales, but focus has primarily been on free-living communities within well-connected aquatic environments rather than less connected island-like habitats such as estuaries, and key host-associated communities within these systems. Here we sampled both free-living (seawater and sediment) and host-associated (estuarine fish hindgut microbiome, Pelates sexlineatus) communities across six temperate Australian estuaries spanning ∼500 km. We find that spatial and environmental factors have different influences on these communities, with seawater demonstrating strong distance-decay relationships …

Establishing Effective Conservation Management Strategies For A Poorly Known Endangered Species: A Case Study Using Australia’S Night Parrot (Pezoporus Occidentalis), Nicholas P. Leseberg, Alex Kutt, Megan C. Evans, Tida Nou, Scott Spillias, Zoe Stone, Jessica C. Walsh, Stephen A. Murphy, Mike Bamford, Allan H. Burbidge, Kate Crossing, Robert A. Davis, Stephen T. Garnett, Rodney P. Kavanagh, Robert Murphy, John Read, Julian Reid, Stephen Van Leeuwen, Alexander W. T. Watson, James E. M. Watson, Martine Maron

Research outputs 2022 to 2026

An evidence-based approach to the conservation management of a species requires knowledge of that species’ status, distribution, ecology, and threats. Coupled with budgets for specific conservation strategies, this knowledge allows prioritisation of funding toward activities that maximise benefit for the species. However, many threatened species are poorly known, and determining which conservation strategies will achieve this is difficult. Such cases require approaches that allow decision-making under uncertainty. Here we used structured expert elicitation to estimate the likely benefit of potential management strategies for the Critically Endangered and, until recently, poorly known Night Parrot (Pezoporus occidentalis). Experts considered cat management the …

Modulation Recognition Of Low-Snr Uav Radar Signals Based On Bispectral Slices And Ga-Bp Neural Network, Xuemin Liu, Yaoliang Song, Kuiyu Chen, Shihao Yan, Si Chen, Baihua Shi

Research outputs 2022 to 2026

In this paper, we address the challenge of low recognition rates in existing methods for radar signals from unmanned aerial vehicles (UAV) with low signal-to-noise ratios (SNRs). To overcome this challenge, we propose the utilization of the bispectral slice approach for accurate recognition of complex UAV radar signals. Our approach involves extracting the bispectral diagonal slice and the maximum bispectral amplitude horizontal slice from the bispectrum amplitude spectrum of the received UAV radar signal. These slices serve as the basis for subsequent identification by calculating characteristic parameters such as convexity, box dimension, and sparseness. To accomplish the recognition task, we …

Numerical Investigation On The Hydrodynamic Performance Of A 2d U-Shaped Oscillating Water Column Wave Energy Converter, Guixun Zhu, John Samuel, Siming Zheng, Jason Hughes, David Simmonds, Deborah Greaves

School of Engineering, Computing and Mathematics

The U-Oscillating Water Column (U-OWC) is a wave energy harvester exploiting the working principle of oscillating water columns for capturing and converting energy from sea waves. U-OWC devices can be integrated into a breakwater to enable wave energy extraction and provide shelter for port activities. In this work, a coupled Smoothed Particle Hydrodynamics (SPH) model was developed and applied to investigate the hydrodynamics of a U-OWC breakwater. The numerical model is validated against the experimental results over a range of regular wave conditions. An extensive campaign of computational tests is then carried out, studying the effects of geometrical parameters on …

Confirmatory Factor Analysis Of Two Self-Efficacy Scales For Astronomy Understanding And Robotic Telescope Use, R. Freed, David H. Mckinnon, M. T. Fitzgerald, S. Salimpour

Research outputs 2022 to 2026

This paper presents the results of a confirmatory factor analysis on two self-efficacy scales designed to probe the self-efficacy of college-level introductory astronomy (Astro-101) students (n=15181) from 22 institutions across the United States of America and Canada. The students undertook a course based on similar curriculum materials, which involved students using robotic telescopes to support their learning of astronomical concepts covered in the "traditional"Astro-101 courses. Previous research by the authors using these self-efficacy scales within a pre-/post-test approach showed both high reliabilities and very high construct validities. However, the scale purporting to measure students' self-efficacy in relation to their use …

Dos/Ddos-Mqtt-Iot: A Dataset For Evaluating Intrusions In Iot Networks Using The Mqtt Protocol, Alaa Alatram, Leslie F. Sikos, Mike Johnstone, Patryk Szewczyk, James Jin Kang

Research outputs 2022 to 2026

Adversaries may exploit a range of vulnerabilities in Internet of Things (IoT) environments. These vulnerabilities are typically exploited to carry out attacks, such as denial-of-service (DoS) attacks, either against the IoT devices themselves, or using the devices to perform the attacks. These attacks are often successful due to the nature of the protocols used in the IoT. One popular protocol used for machine-to-machine IoT communications is the Message Queueing Telemetry Protocol (MQTT). Countermeasures for attacks against MQTT include testing defenses with existing datasets. However, there is a lack of real-world test datasets in this area. For this reason, this paper …

An Analysis Of The Suitability Of Philosophy As A Core K-12 Public School Subject, Mark Christopher Blythe

Doctor of Education (EdD)

In 2005 Michael Katz invited philosophers of education to reinvigorate the inquiry into what is required to provide a proper education for everyone to lead a productive life. In the literature review, I analyze the suitability of philosophy in teaching K-12 students how to think and reason logically—essential abilities for a productive life. I also examine the educational landscape through the philosophy of Nicholas Rescher’s Cognitive-Values Theory and address the value of learning philosophy. I present a Philosophical Dialectic that shows how epistemic diversity (aporetic clusters) justifies making philosophy a K-12 core subject while analyzing philosophers’ reasons for including philosophy …

Raising The Floor From The Back Door: Shareholder Proposals As A Mechanism For Raising Minimum Wage, Laura Carrier

Washington and Lee Law Review

When adjusted to reflect inflation, the federal minimum wage is almost 40 percent lower than it was in 1970. The Biden Administration tried and failed to legislatively raise the minimum wage, and political deadlock will continue to kill legislative change. The shareholder proposal, a nonbinding recommendation to management that shareholders can submit for a vote at a public corporation’s annual meeting, presents a path for improving the wages of many workers in the absence of federal legislation. This Note analyzes the best approach to crafting a shareholder proposal on minimum wage that will prompt an effective increase in the minimum …

Exploring The Impact Of Students Demographic Attributes On Performance Prediction Through Binary Classification In The Kdp Model, Issah Iddrisu, Peter Appiahene, Obed Appiah, Inusah Fuseini

Knowledge Engineering and Data Science

During the course of this research, binary classification and the Knowledge Discovery Process (KDP) were used. The experimental and analytical capabilities of Rapid Miner's 9.10.010 instructional environment are supported by five different classifiers. Included in the analysis were 2334 entries, 17 characteristics, and one class variable containing the students' average score for the semester. There were twenty experiments carried out. During the studies, 10-fold cross-validation and ratio split validation, together with bootstrap sampling, were used. It was determined whether or not to use the Random Forest (RF), Rule Induction (RI), Naive Bayes (NB), Logistic Regression (LR), or Deep Learning (DL) …