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Articles 11581 - 11610 of 294489
Full-Text Articles in Physical Sciences and Mathematics
Multimodel And Multidiagnostic Ensemble-Based Deep Convective Area Forecast For Aviation Operations Using The Global Unified Model And Korean Integrated Model, Yi-June Park, Jung-Hoon Kim, Dan-Bi Lee, Hyun-Joo Choi, Soo-Hyun Kim, Matthias Steiner, Seung Hee Kim
Multimodel And Multidiagnostic Ensemble-Based Deep Convective Area Forecast For Aviation Operations Using The Global Unified Model And Korean Integrated Model, Yi-June Park, Jung-Hoon Kim, Dan-Bi Lee, Hyun-Joo Choi, Soo-Hyun Kim, Matthias Steiner, Seung Hee Kim
Institute for ECHO Articles and Research
To provide safe and efficient guidance for aircraft operation to avoid deep convective areas (DCAs) in Korea and broader East Asia, we developed a multimodel and multidiagnostic ensemble (MMDE)-based forecast system. This system utilizes two global numerical weather prediction (NWP) models based on the Unified Model (UM) and the Korean Integrated Model (KIM) operated by the Korea Meteorological Administration. To predict hazardous weather conditions, we defined DCAs using ground-based radar mosaic data where the 15-dBZ echo-top height exceeds flight level (FL) 250 (about z = 6.5 km) and FL350 (about z = 9 km). For predictors, we employed a …
Classifying Compact Radio Emission In Nearby Galaxies: A 10 Ghz Study Of Active Galactic Nuclei, Supernovae, Anomalous Microwave Emission, And Star-Forming Regions, Kristen C. Dage, Eric W. Koch, Evangelia Tremou, Kwangmin Oh, Susmita Sett, Cosima Eibensteiner, Sean T. Linden, Angiraben D. Mahida, Eric J. Murphy, Liliana E. Rivera Sandoval
Classifying Compact Radio Emission In Nearby Galaxies: A 10 Ghz Study Of Active Galactic Nuclei, Supernovae, Anomalous Microwave Emission, And Star-Forming Regions, Kristen C. Dage, Eric W. Koch, Evangelia Tremou, Kwangmin Oh, Susmita Sett, Cosima Eibensteiner, Sean T. Linden, Angiraben D. Mahida, Eric J. Murphy, Liliana E. Rivera Sandoval
Physics & Astronomy Faculty Publications
We present 115 compact radio point sources in three galaxies, NGC 5474, NGC 4631, and M51, taken in the most extended (A-)configuration of the Karl G. Jansky Very Large Array at 10 GHz. Several of these compact radio point sources have diffuse counterparts identified in previous multiband studies of resolved radio continuum emission. We find compact counterparts to eight star forming regions, four anomalous microwave emission candidates, and one supernova remnant (SN 2011dh). Nine of the compact radio sources match X-ray counterparts, the majority of which are background galaxies. These AGN are all within the D25 (isophotal diameter) of the …
Long-Range Quantum Entanglement In Dielectric Mu-Near-Zero Metamaterials, Olivia Mello, Larissa Vertchenko, Seth Nelson, Adrien Debacq, Durdu Guney, Eric Mazur, Michaël Lobet
Long-Range Quantum Entanglement In Dielectric Mu-Near-Zero Metamaterials, Olivia Mello, Larissa Vertchenko, Seth Nelson, Adrien Debacq, Durdu Guney, Eric Mazur, Michaël Lobet
Michigan Tech Publications
Entanglement is paramount in quantum information processing. Many quantum systems suffer from spatial decoherence in distances over a wavelength and cannot be sustained over short time periods due to dissipation. However, long range solutions are required for the development of quantum information processing on chip. Photonic reservoirs mediating the interactions between qubits and their environment are suggested. Recent research takes advantage of extended wavelength inside near-zero refractive index media to solve the long-range problem along with less sensitivity on the position of quantum emitters. However, those recent proposals use plasmonic epsilon near-zero waveguides that are intrinsically lossy. Here, we propose …
Information Security Awareness And Behavior Of Smartphone Users In The Ibadan Metropolis, Nigeria, Funmilola Olubunmi Omotayo
Information Security Awareness And Behavior Of Smartphone Users In The Ibadan Metropolis, Nigeria, Funmilola Olubunmi Omotayo
Journal of Cybersecurity Education, Research and Practice
Today, there is a rapid increase in the number of people using the Internet via smartphones and relying on them for most of their daily activities. Consequently, smartphones are becoming the target of criminals for atrocious purposes. This study investigated the information security awareness and behavior of smartphone users in the Ibadan metropolis, Nigeria. The study adopted a descriptive survey design. Data was collected with a questionnaire from 400 respondents who were conveniently selected. Findings revealed that most smartphone users knew about the smartphone security features available on their phones. However, most also engaged in behaviors that threatened their information …
Emerging Clinical Role Of Tavapadon, A Novel Dopamine Partial Agonist, In The Treatment Of Parkinson’S Disease, Alan D. Kaye, Bennett M. Ford, Brennan M. Abbott, Kalob M. Broocks, Sofia Novacic, Sahar Shekoohi
Emerging Clinical Role Of Tavapadon, A Novel Dopamine Partial Agonist, In The Treatment Of Parkinson’S Disease, Alan D. Kaye, Bennett M. Ford, Brennan M. Abbott, Kalob M. Broocks, Sofia Novacic, Sahar Shekoohi
School of Medicine Faculty Publications
Tavapadon, a novel oral dopamine-D1R/D5R partial agonist, has been studied in recent years for the treatment of late-stage development Parkinson’s disease (PD). Levodopa, a dopamine precursor that currently remains the gold-standard first-line therapy for PD motor symptoms, serves as a benchmark against emerging dopaminergic agents. By selectively activating D1-family receptors on direct-pathway medium neurons, Tavapadon differs in that it delivers levodopa-level motor benefit while avoiding its many D2R/D3R-mediated adverse effects. In placebo-controlled trials, Tavapadon produced clear, clinically meaningful gains in motor function and day-to-day activities, as captured by the Unified Parkinson’s Disease Rating Scale (UPDRS). Recent late-stage results have revealed …
09.02.2025 Ored Connect, Liz Williamson
09.02.2025 Ored Connect, Liz Williamson
ORED Newsletter
- NIH Specific Aims Statement RED Talk
- NSF Research Security Training
Major, Trace And Rare Earth Element Concentrations In Nist Standard Reference Material® 1646a Analyzed By Als Global Using Method Me-Ms61r, Jane L. Alexander
Major, Trace And Rare Earth Element Concentrations In Nist Standard Reference Material® 1646a Analyzed By Als Global Using Method Me-Ms61r, Jane L. Alexander
Publications and Research
This technical note compares analytical results obtained from ALS Global Method ME-MS61r with the certified and previously published results for NIST Standard Reference Material® 1646a, Estuarine Sediment. The results are grouped into major, trace and rare earth elements, and focus on elements used by sedimentary geochemists, for example in studies of sediment provenance. The results from ALS Global Method ME-MS61r are internally consistent and generally robust when compared with published analyses. However, acid digestion may not completely dissolve resistant minerals, leading to under-reporting of some elements such as Ti, Cr, Zr, heavy REE and Y.
Deep Learning-Driven Proteomics Analysis For Gene Annotation In The Renin-Angiotensin System, Mortaza Eivazi, Kamran Hosseini, Shahin Alipanahi, Huijing Xia, Luke Restivo, Ayushi Patel, Mahdieh Gozali, Tahereh Ebrahimi, Amy Scarborough, Vahideh Tarhriz, Eric Lazartigues
Deep Learning-Driven Proteomics Analysis For Gene Annotation In The Renin-Angiotensin System, Mortaza Eivazi, Kamran Hosseini, Shahin Alipanahi, Huijing Xia, Luke Restivo, Ayushi Patel, Mahdieh Gozali, Tahereh Ebrahimi, Amy Scarborough, Vahideh Tarhriz, Eric Lazartigues
School of Medicine Faculty Publications
The renin-angiotensin system (RAS) is central to cardiovascular diseases such as hypertension and cardiomyopathy, yet the functions of many RAS genes remain unclear. This study developed a multi-label deep learning model to systematically annotate RAS gene functions and elucidate their roles in biological pathways. A total of 39,463 RAS-related publications from PubMed and PMC were processed into text format. Feature matrices were generated using TF-IDF and token processing, followed by dimensionality reduction via Principal Component Analysis (PCA). A Multi-Layer Perceptron (MLP) was applied for multi-label classification, with performance evaluated using Precision, F1-Score, Ranking Loss, and ROC-AUC metrics. The model outperformed …
A Search For Subdwarf B Binaries Using Pulsation Timing From Tess, Tomomi Otani, Andrzej S. Baran, Lindsay C. Spence, Ted A. Von Hippel, Ellesse A. Lynum-Lozano, Julia M. Clark
A Search For Subdwarf B Binaries Using Pulsation Timing From Tess, Tomomi Otani, Andrzej S. Baran, Lindsay C. Spence, Ted A. Von Hippel, Ellesse A. Lynum-Lozano, Julia M. Clark
Publications
Hot subdwarf B (sdB) stars are post-main-sequence stars of high temperature and gravity. Approximately 30% of sdBs exhibit stable pressure and/or gravity-mode pulsations, which can be used via the timing method to test for companion stars and determine their orbital solutions. We used short cadence data from the Transiting Exoplanet Survey Satellite (TESS) to search for previously undiscovered companions to sdBs. In this paper, we focus on searching for companions with orbital periods shorter than 13.5 days which are detectable within one sector of TESS data (about 27 days). The timing method requires that we derive pulsation frequencies in subsets …
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Insufficiently Reclaimed Sites Field Sampling Plan (Fsp): Bres No. 120 – Bonanza Dump (Dated August 12, 2025), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Fun! Friends! Famous People! Why Fans Attend Anime Conventions, Billy Tringali, Maria Alberto, Jeremiah Martinez
Fun! Friends! Famous People! Why Fans Attend Anime Conventions, Billy Tringali, Maria Alberto, Jeremiah Martinez
Proceedings from the Document Academy
In 2021 during the global Covid-19 lockdowns, Billy and Maria ran an IRB-exempted online survey, looking to hear from fans who attend anime conventions. Conventions had been shut down as non-essential services that drew large crowds, and we hoped to capture a screenshot of this moment, to better learn from it in the future. And the resulting data collection went quite well – we were able to partner with a major anime organization to share the survey, and our 1000+ respondents had a lot to say about the conventions they were missing during lockdowns.
Ultimately, we found a significant emphasis …
Generalized Transversality Conditions For Fuzzy Quantum-Symmetric Variational Problems Via Granular Approach, Martin Bohner, Ewa Girejko, Agnieszka B. Malinowska, Linh Nguyen, Baruch Schneider, Tri Truong
Generalized Transversality Conditions For Fuzzy Quantum-Symmetric Variational Problems Via Granular Approach, Martin Bohner, Ewa Girejko, Agnieszka B. Malinowska, Linh Nguyen, Baruch Schneider, Tri Truong
Mathematics and Statistics Faculty Research & Creative Works
This paper investigates fuzzy q-symmetric variational problems with natural boundary conditions. Based on the relative distance measure fuzzy arithmetic and horizontal membership functions (HMFs), we propose novel concepts of differentiability and integrability for fuzzy functions on quantum geometric subsets of real numbers. Then, fundamental foundations of q-symmetric calculus of variations based on HMFs are provided. With the help of HMFs and granular q-symmetric differentiability, we derive necessary optimality conditions for fuzzy q-symmetric variational problems that depend on free endpoints. Moreover, sufficient conditions for minimizers of q-symmetric variational problems are obtained. Some numerical examples illustrating the proposed approach are presented.
Novel Statistical And Topological Data Analyses Of 2d Electronic Images, Robert L. Paige, Vic Patrangenaru
Novel Statistical And Topological Data Analyses Of 2d Electronic Images, Robert L. Paige, Vic Patrangenaru
Mathematics and Statistics Faculty Research & Creative Works
In this paper, novel statistical and topological data analyses of 2D images are developed. One considers methodologies based on the Region Covariance Descriptor (RCD) and Topological Data Analysis (TDA) rooted in the simplicial as well as cubical persistent homologies. These methods provide statistical methods for data from populations of complex data objects that are elements of non-Euclidean spaces. The 2D image data considered consist of pictures of two leaves—A and B—from the same tree, twenty of each leaf, from different perspectives. The novel statistical procedures developed are used for correctly determining that leaf A images and leaf B images are …
Greedy Algorithm For Neural Networks For Indefinite Elliptic Problems, Qingguo Hong, Jiwei Jia, Young Ju Lee, Ziqian Li
Greedy Algorithm For Neural Networks For Indefinite Elliptic Problems, Qingguo Hong, Jiwei Jia, Young Ju Lee, Ziqian Li
Mathematics and Statistics Faculty Research & Creative Works
The paper presents a priori error analysis of the shallow neural network approximation to the solution to the indefinite elliptic equation and a cutting-edge implementation of the Orthogonal Greedy Algorithm (OGA) tailored to overcome the challenges of indefinite elliptic problems, which is a domain where conventional approaches often struggle due to the lack of coerciveness. A rigorous priori error analysis that shows the neural network's ability to approximate the solution of indefinite problems is confirmed numerically by OGA. We also present the error analysis of the relevant numerical quadrature. In particular, massive numerical implementations are conducted to justify the theory, …
Utilizing Generative Ai To Counter Learner Groupthink By Introducing Controversy In Collaborative Problem-Based Learning Settings, Andrew Wiss, Mary Showstark, Kyle Dobbeck, Jennifer Pattershall-Geide, Elke Zschaebitz, Dawn Joosten-Hagye, Kirsten Potter, Erin Embry
Utilizing Generative Ai To Counter Learner Groupthink By Introducing Controversy In Collaborative Problem-Based Learning Settings, Andrew Wiss, Mary Showstark, Kyle Dobbeck, Jennifer Pattershall-Geide, Elke Zschaebitz, Dawn Joosten-Hagye, Kirsten Potter, Erin Embry
Montclair State University Scholarship & Creative Works
This article highlights the foundational challenge of rapid interprofessional student team formation and the potential challenges that groupthink poses for newly-formed teams participating in collaborative problem-based learning activities. This article describes a mixed-methods study that addresses groupthink by introducing a generative artificial intelligence-based agent (genAI agent) into the small group processes of student teams engaging in a session of a well-established virtual interprofessional education methodology. The integration of this novel genAI tool into each student team was an intentional pedagogical technique, introduced in response to the challenges that newly-formed student teams may encounter as they rapidly come together and potentially …
Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2024, Pioneer Technical Services, Inc.
Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2024, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Ab Initio Studies On Mechanical Properties Of Freestanding Ferroic Monolayers, John Malcolm Davis
Ab Initio Studies On Mechanical Properties Of Freestanding Ferroic Monolayers, John Malcolm Davis
Graduate Theses and Dissertations
This thesis explores the role of mechanical properties and elastic couplings in freestanding paradigmatic ferroic monolayers within the framework of density functional theory. This dissertation is comprised of three interconnected published studies: (i) establishing the elastic behavior across a temperature-driven phase transition in SnSe monolayers; (ii) thermally-driven phase transitions in graphene-like silicene, germanene, and stanene, examining the structural stability and band gap occlusion; and (iii) magnetoelastic coupling in an Ising-like CrSiTe3 monolayer, focused on assessing magnetic contributions to the material stiffness by establishing a proper non-magnetic reference.
The Tess Grand Unified Hot Jupiter Survey. Iii. Thirty More Giant Planets, S. W. Yee, J. N. Winn, J. D. Hartman, J. E. Rodriguez, G. Zhou, D. W. Latham, S. N. Quinn, A. Bieryla, K. A. Collins, J. D. Eastman, K. I. Collins, D. M. Conti, Eric L.N. Jensen, D. Baker, K. Barkaoui, Ö. Baştürk, M. P. Battley, D. Bayliss, T. G. Beatty, Y. Beletsky, A. A. Belinski, Z. Benkhaldoun, P. Benni, P. Bosch-Cabot, C. Briceño, A. Brudny, M. R. Burleigh, R. P. Butler, S. Chairetas, A. Chontos, J. Christiansen, D. R. Ciardi, C. A. Clark, R. Cloutier, M. W. Craig, J. D. Crane, N. Dowling, C. D. Dressing, J. Emmanuel, P. Evans, M. E. Everett, G. Fernández-Rodríguez, J. F. Fernández, R. Forés-Toribio, C. D. Fortenbach, A. Fukui, E. Furlan, T. Gan, M. Ghachoui, S. Giacalone, S. Gill, M. Gillon, K. Hall, Y. Hayashi, C. Hedges, J. Higuera, E. G. Hintz, L. Hirsch, R. Holcomb, K. Horne, F. G. Horta, A. W. Howard, S. B. Howell, H. Isaacson, J. M. Jenkins, T. Kagetani, J. Kamler, A. Kendall, J. Korth, M. A. Kroft, G. Lacedelli, D. Laloum, N. Law, J. P. De Leon, A. M. Levine, P. Lewin, S. E. Logsdon, M. B. Lund, M. M. Madsen, A. W. Mann, C. R. Mann, N. A. Maslennikova, S. Matutano, M. Mccormack, K. K. Mcleod, E. J. Michaels, I. Mireles, M. Mori, J. A. Muñoz, F. Murgas, N. Narita, S. M. O’Brien, C. Odden, E. Palle, Y. G. Patel, P. Plavchan, A. S. Polanski, A. Popowicz, D. J. Radford, P. A. Reed, H. M. Relles, M. Rice, G. R. Ricker, B. S. Safonov, A. B. Savel, J. Schulte, R. P. Schwarz, H. Schweiker, S. Seager, R. Sefako, S. A. Shectman, A. Shporer, D. C. Stephens, C. Stockdale, S. Striegel, T.-G. Tan, J. K. Teske, M. Timmermans, S. Ulmer-Moll, G. Wang, P. J. Wheatley, S. Yalcinkaya, R. Zambelli, J. Van Zandt, C. Ziegler
The Tess Grand Unified Hot Jupiter Survey. Iii. Thirty More Giant Planets, S. W. Yee, J. N. Winn, J. D. Hartman, J. E. Rodriguez, G. Zhou, D. W. Latham, S. N. Quinn, A. Bieryla, K. A. Collins, J. D. Eastman, K. I. Collins, D. M. Conti, Eric L.N. Jensen, D. Baker, K. Barkaoui, Ö. Baştürk, M. P. Battley, D. Bayliss, T. G. Beatty, Y. Beletsky, A. A. Belinski, Z. Benkhaldoun, P. Benni, P. Bosch-Cabot, C. Briceño, A. Brudny, M. R. Burleigh, R. P. Butler, S. Chairetas, A. Chontos, J. Christiansen, D. R. Ciardi, C. A. Clark, R. Cloutier, M. W. Craig, J. D. Crane, N. Dowling, C. D. Dressing, J. Emmanuel, P. Evans, M. E. Everett, G. Fernández-Rodríguez, J. F. Fernández, R. Forés-Toribio, C. D. Fortenbach, A. Fukui, E. Furlan, T. Gan, M. Ghachoui, S. Giacalone, S. Gill, M. Gillon, K. Hall, Y. Hayashi, C. Hedges, J. Higuera, E. G. Hintz, L. Hirsch, R. Holcomb, K. Horne, F. G. Horta, A. W. Howard, S. B. Howell, H. Isaacson, J. M. Jenkins, T. Kagetani, J. Kamler, A. Kendall, J. Korth, M. A. Kroft, G. Lacedelli, D. Laloum, N. Law, J. P. De Leon, A. M. Levine, P. Lewin, S. E. Logsdon, M. B. Lund, M. M. Madsen, A. W. Mann, C. R. Mann, N. A. Maslennikova, S. Matutano, M. Mccormack, K. K. Mcleod, E. J. Michaels, I. Mireles, M. Mori, J. A. Muñoz, F. Murgas, N. Narita, S. M. O’Brien, C. Odden, E. Palle, Y. G. Patel, P. Plavchan, A. S. Polanski, A. Popowicz, D. J. Radford, P. A. Reed, H. M. Relles, M. Rice, G. R. Ricker, B. S. Safonov, A. B. Savel, J. Schulte, R. P. Schwarz, H. Schweiker, S. Seager, R. Sefako, S. A. Shectman, A. Shporer, D. C. Stephens, C. Stockdale, S. Striegel, T.-G. Tan, J. K. Teske, M. Timmermans, S. Ulmer-Moll, G. Wang, P. J. Wheatley, S. Yalcinkaya, R. Zambelli, J. Van Zandt, C. Ziegler
Physics & Astronomy Faculty Works
We present the discovery of 30 transiting giant planets that were initially detected using data from NASA’s Transiting Exoplanet Survey Satellite mission. These new planets orbit relatively bright (G ≤ 12.5) FGK host stars with orbital periods between 1.6 and 8.2 days, and have radii between 0.9 and 1.7 Jupiter radii. We performed follow-up ground-based photometry, high angular resolution imaging, high-resolution spectroscopy, and radial velocity monitoring for each of these objects to confirm that they are planets and determine their masses and other system parameters. The planets’ masses span more than an order of magnitude (0.17 MJ < M …
Lead Exposure In The 21st Century: Modeling A Path From Crisis To Prevention, Danlin Yu
Lead Exposure In The 21st Century: Modeling A Path From Crisis To Prevention, Danlin Yu
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
No abstract provided.
Building A Novel Question-Answering System Using Retrieval-Augmented Generation For The California Fair Political Practices Commission, Saanvi Dua
Master's Theses
The California Fair Political Practices Commission (FPPC) receives a high volume of inquiries via email from public officials, the general public, and other agencies, which currently requires staff to manually search through informational documents and manuals to provide timely responses. This process is both labor- and time-intensive.
To address this challenge, we design a question-answering (QA) system that drafts responses to emailed questions by retrieving relevant information from the FPPC’s manuals using a retrieval-augmented generation (RAG) framework. Although the current implementation focuses on a single manual, the system is designed to be adaptable to the broader set of FPPC documents. …
2025 September - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University
2025 September - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Monthly Reports
Hi All,
The main weather and climate stories of September 2025 for Tennessee were the hot and dry conditions in West Tennessee that led to rapid drought expansion. While the month started out cool, warmer than normal conditions built back into the state from west to east in the second and third weeks of September. Daytime temperatures were especially high, with many locations in the western half of the state seeing high temperatures that were 5-15°F warmer than normal for this time of the year. This combined with a lack of rainfall over the summer season led to rapid drought …
Deep Learning Framework For Option Pricing, Kyle Rytand Bistrain
Deep Learning Framework For Option Pricing, Kyle Rytand Bistrain
Master's Theses
Accurately pricing American options with market data presents a significant challenge, as foundational models like the Black-Scholes-Merton (BSM) model rely on assumptions that deviate from real-world financial data -- such as log-normal returns, constant volatility, and no dividends -- and fail to account for the key early exercise feature of American options. While parametric models can adjust for these features, the complexity of the resulting models renders them prohibitively difficult to apply in practice for nonspecialists. In response, modern machine learning (ML) techniques provide a set of flexible and powerful alternatives, and recent research has explored the application of ML …
Exact And Approximate Conformal Inference For Multi-Output Regression, Chancellor Johnstone, Eugene Ndiaye
Exact And Approximate Conformal Inference For Multi-Output Regression, Chancellor Johnstone, Eugene Ndiaye
Faculty Publications
It is common in machine learning to estimate a response y given covariate information x . However, these predictions alone do not quantify any uncertainty associated with said predictions. One way to overcome this deficiency is with conformal inference methods, which construct a set containing the unobserved response with a prescribed probability. Unfortunately, even with a one-dimensional response, conformal inference is computationally expensive despite recent encouraging advances. In this paper, we explore multi-output regression, delivering exact derivations of conformal inference p-values when the predictive model can be described as a linear function of y . Additionally, we introduce a multivariate …
Comparative Analysis Of Different Magnetic Anomaly Datasets Using Navigation Performance With Flight Test Data, Aaron P. Nielsen, Brandon M. Blakely, Patrick Duff
Comparative Analysis Of Different Magnetic Anomaly Datasets Using Navigation Performance With Flight Test Data, Aaron P. Nielsen, Brandon M. Blakely, Patrick Duff
Faculty Publications
Magnetic Anomaly Navigation (MagNav) is a map-based method of navigation which relies on accurately obtaining the anomaly field to a high level of precision to achieve good navigation results. This requires utilizing high quality sensors, accurately modeling disturbance fields from the aircraft & other sources, and creating high-fidelity maps. Aeromagnetic survey data or marine track survey data must be processed into a product that can be used as a reference for a magnetic navigator and a variety of techniques can be utilized for this processing. The data collection for different survey types reflects choices typically made to study the underlying …
Adaptive Water Body Detection: Integrating Deep Learning, Normalised Difference Water Index, And Vector Data For Farm Dam Water Monitoring With Omniwatermask, Nicholas J. Wright, John M A Duncan, Nik Callow, Sally E. Thompson, Richard J. George
Adaptive Water Body Detection: Integrating Deep Learning, Normalised Difference Water Index, And Vector Data For Farm Dam Water Monitoring With Omniwatermask, Nicholas J. Wright, John M A Duncan, Nik Callow, Sally E. Thompson, Richard J. George
Natural Resources Research Articles
Farm dams are important water security features supporting both agricultural production and the natural environment. In Australia alone, over two million farm dams provide the water resources underpinning rural and regional primary industries with an annual export value of $80 billion. However, monitoring these water bodies to understand water security and vulnerability is challenging, primarily because of their large quantity, size and highly variable spectral signatures. These characteristics result in difficulty determining thresholds for index-based water detection methods and add to the difficulty of creating adequate training datasets for deep learning methods. We present an adaptive approach named OmniWaterMask (OWM) …
Root Exudates: The Rhizospheric Frontier For Advancing Sustainable Plant Protection, Muhammad Rahil Afzal, Misbah Naz, Youbo Yu, Lisha Yan, Peiyi Wang, Janaki Mohotti, Gefei Hao, Jing-Jiang Zhou, Zhou Chen, Libo Zhang, Qian Wang
Root Exudates: The Rhizospheric Frontier For Advancing Sustainable Plant Protection, Muhammad Rahil Afzal, Misbah Naz, Youbo Yu, Lisha Yan, Peiyi Wang, Janaki Mohotti, Gefei Hao, Jing-Jiang Zhou, Zhou Chen, Libo Zhang, Qian Wang
Faculty Publications
Root exudates (REs), a diverse array of bioactive metabolites secreted by plant roots in response to environmental stimuli, serve as key mediators of rhizosphere ecology and plant defense responses, offering a promising avenue for sustainable pest management and eco-friendly plant protection. While earlier reviews primarily focus on root exudates in the context of general rhizosphere dynamics and plant-microbial interactions, critical knowledge gaps persist in REs-plant-pest tripartite interactions, the mechanistic basis of REs-mediated plant defense, and their practical integration with integrated pest management (IPM) frameworks. This review provides a synthesis of the latest literature on the biochemical diversity and functions of …
Characterizing The Excited States And Electronic Absorption Spectra Of Small Alkylperoxy (Ro2•) And Hydroperoxy (•Qooh) Radicals, Lily M. Guidry, Sofia E. Guidry, Tanima Barua, Barbara Marchetti, Michael F. Vansco, Tolga N.V. Karsili
Characterizing The Excited States And Electronic Absorption Spectra Of Small Alkylperoxy (Ro2•) And Hydroperoxy (•Qooh) Radicals, Lily M. Guidry, Sofia E. Guidry, Tanima Barua, Barbara Marchetti, Michael F. Vansco, Tolga N.V. Karsili
Chemistry
Organic peroxy (ROO•) and hydroperoxy (•QOOH) radicals are key reactive intermediates that are formed via the oxidation of volatile organic compounds during combustion or in the Earth’s atmosphere. Their primary fate is continued unimolecular decay or bimolecular chemistry, the relative branching for which is heavily structure- and temperature-dependent. This article outlines a combined single- and multi-reference quantum chemical study to characterize the near-UV accessible electronically excited states of the prototypical ROO• and •QOOH intermediates, tert-butyl peroxy and hydroperoxy-tert-butyl radicals—the ground-state chemistries of which have been well studied both experimentally and computationally. Additionally, we simulate the electronic absorption profiles of these …
Script-Based Inferences In An Image Schema Story Understander, Jamie C. Macbeth, Boming Zhang, Sharmin Badhan
Script-Based Inferences In An Image Schema Story Understander, Jamie C. Macbeth, Boming Zhang, Sharmin Badhan
Computer Science: Faculty Publications
Recent studies of large language models (LLMs) have revealed that they lack human-like cognitive models of reasoning and understanding. An important thread of research merges image schemas into symbolic artificial intelligence systems where their use as conceptual building blocks and primitives shows promise for the study of human cognition through intelligent systems that perform neurosymbolically. The work presented in this paper demonstrates image schema primitives being used in structures of a representation system called conceptual dependency (CD) and in broader commonsense knowledge structures called scripts. We present a story under- standing system that uses image schemas as primitives in scripts …
Detecting Defi Fraud With A Graph-Transformer Language Model, Wei Ma, Junjie Shi, Jiaxi Qiu, Cong Wu, Jing Chen, Lingxiao Jiang, Shangqing Liu, Yang Liu, Yang Xiang
Detecting Defi Fraud With A Graph-Transformer Language Model, Wei Ma, Junjie Shi, Jiaxi Qiu, Cong Wu, Jing Chen, Lingxiao Jiang, Shangqing Liu, Yang Liu, Yang Xiang
Research Collection School Of Computing and Information Systems
With the rapid development of blockchain technology, the widespread adoption of smart contracts—particularly in decentralized finance (DeFi) applications—has introduced significant security challenges, such as reentrancy attacks, phishing, and Sybil attacks. To address these issues, we propose a novel model called TrxGNNBERT, which combines Graph Neural Network (GNN) and the Transformer architecture to effectively handle both graph-structured and textual data. This combination enhances the detection of suspicious transactions and accounts on blockchain platforms like Ethereum. TrxGNNBERT was pre-trained using a masked language model (MLM) on a dataset of 60,000 Ethereum transactions by randomly masking the attributes of nodes and edges, thereby …
The God Prompt And Deus Ex Machina: Techno-Theological Tropes And Operational Metaphors In Generative Media, James Hutson
The God Prompt And Deus Ex Machina: Techno-Theological Tropes And Operational Metaphors In Generative Media, James Hutson
Faculty Scholarship
This study reframes two durable tropes—the ―God Prompt‖ and the deus ex machina—as analytic lenses for understanding how contemporary generative systems stage beginnings and endings of cultural production. The ―God Prompt‖ denotes command-driven synthesis in which minimal textual instructions instantiate content on demand, crystallizing a production loop of input, model execution, and post hoc evaluation that orients anticipation toward instantaneous yield and controllable variation. The deus ex machina names an externally imposed resolution that interrupts causal development—historically a crane-borne god, functionally an algorithmic override—thereby concentrating attention on closure mechanics rather than world-building continuity. Read together, the pair offers a compact …