Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (62877)
- Earth Sciences (59184)
- Environmental Sciences (51903)
- Engineering (40751)
- Life Sciences (38959)
-
- Physics (33955)
- Chemistry (33105)
- Geology (29921)
- Mathematics (27124)
- Social and Behavioral Sciences (21070)
- Soil Science (14281)
- Oceanography and Atmospheric Sciences and Meteorology (13969)
- Plant Sciences (13821)
- Computer Engineering (13535)
- Education (13237)
- Statistics and Probability (12776)
- Artificial Intelligence and Robotics (11088)
- Medicine and Health Sciences (11022)
- Agronomy and Crop Sciences (10771)
- Weed Science (10365)
- Arts and Humanities (9914)
- Natural Resources and Conservation (9792)
- Agricultural Science (9782)
- Plant Biology (9650)
- Sustainability (9381)
- Plant Pathology (9365)
- Electrical and Computer Engineering (9150)
- Astrophysics and Astronomy (8852)
- Natural Resources Management and Policy (8557)
- Institution
-
- University of Nebraska - Lincoln (25776)
- Western Michigan University (20676)
- University of Kentucky (14835)
- TÜBİTAK (10694)
- Singapore Management University (9283)
-
- Utah State University (7934)
- Missouri University of Science and Technology (7284)
- Old Dominion University (7254)
- Portland State University (4174)
- University of South Florida (4047)
- Wright State University (3959)
- University of Nevada, Las Vegas (3926)
- China Simulation Federation (3880)
- City University of New York (CUNY) (3718)
- Louisiana State University (3651)
- Brigham Young University (3435)
- University of Texas Rio Grande Valley (3102)
- Chulalongkorn University (3095)
- Air Force Institute of Technology (3047)
- University of Arkansas, Fayetteville (3042)
- Department of Primary Industries and Regional Development, Western Australia (2906)
- Purdue University (2867)
- Claremont Colleges (2858)
- California Polytechnic State University, San Luis Obispo (2724)
- University of Texas at El Paso (2564)
- Chinese Chemical Society | Xiamen University (2389)
- Technological University Dublin (2381)
- University of South Carolina (2377)
- Wayne State University (2314)
- Montana Tech Library (2304)
- Keyword
-
- Machine learning (2160)
- Western Australia (1954)
- Climate change (1620)
- Mathematics (1404)
- Sustainability (1179)
-
- Deep learning (1164)
- Chemistry (1128)
- Artificial intelligence (1090)
- Physics (1031)
- Machine Learning (1012)
- Geology (973)
- Groundwater (970)
- Water quality (898)
- United States (808)
- Computer Science (792)
- Simulation (784)
- Nebraska (774)
- Education (741)
- Remote sensing (707)
- Climate (700)
- Agriculture (698)
- Grains and field crops (697)
- Water (694)
- Security (683)
- Statistics (683)
- Optimization (662)
- Conservation (645)
- Environment (620)
- Humans (601)
- Algorithms (583)
- Publication Year
-
- 2026 (7432)
- 2025 (11876)
- 2024 (13918)
- 2023 (14058)
- 2022 (18163)
-
- 2021 (27663)
- 2020 (14752)
- 2019 (13000)
- 2018 (11754)
- 2017 (11069)
- 2016 (10847)
- 2015 (9561)
- 2014 (9780)
- 2013 (8909)
- 2012 (8503)
- 2011 (7728)
- 2010 (6923)
- 2009 (6337)
- 2008 (5860)
- 2007 (5716)
- 2006 (4897)
- 2005 (4757)
- 2004 (3869)
- 2003 (3319)
- 2002 (2989)
- 2001 (2754)
- 2000 (2640)
- 1999 (2333)
- 1998 (2329)
- 1997 (2179)
- Publication
-
- Legacy Scout Tickets from Pure Oil Company (11044)
- IGC Proceedings (1977-2023) (9261)
- Theses and Dissertations (8731)
- Research Collection School Of Computing and Information Systems (8452)
- Thin Sections (6677)
-
- Faculty Publications (4103)
- Journal of System Simulation (3880)
- Electronic Theses and Dissertations (3529)
- Nebraska Tractor Tests (3397)
- Turkish Journal of Electrical Engineering and Computer Sciences (3096)
- Turkish Journal of Chemistry (2720)
- Turkish Journal of Mathematics (2595)
- Journal of Electrochemistry (2389)
- Physics Faculty Publications (2156)
- Masters Theses (2070)
- Dissertations (2014)
- Physics Faculty Research & Creative Works (1961)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (1876)
- Coal Geology & Exploration (1799)
- Silver Bow Creek/Butte Area Superfund Site (1778)
- USF Tampa Graduate Theses and Dissertations (1754)
- School of Natural Resources: Faculty Publications (1733)
- Department of Computer Science Technical Reports (1721)
- United States Department of Agriculture Wildlife Services: Staff Publications (1622)
- All Graduate Theses and Dissertations, Spring 1920 to Summer 2023 (1436)
- Publications and Research (1403)
- LSU Doctoral Dissertations (1387)
- Publications (1383)
- Turkish Journal of Physics (1374)
- Articles (1348)
- Publication Type
Articles 9961 - 9990 of 291657
Full-Text Articles in Physical Sciences and Mathematics
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling Plan (Fsp): Bres No. 18 – Walkerville Ballfield (Dated August 13, 2025), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Comment Letter For The Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites New And Mahoney (Ur-23) Construction Completion Report., Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling Plan (Fsp): Bres No. 100 – Capri Motel-Arctic Dump (Dated August 12, 2025), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Complexity Study Of Knowledge And Public Observation, Avijeet Ghosh
Complexity Study Of Knowledge And Public Observation, Avijeet Ghosh
Doctoral Theses
Automated planning has been a steady branch of research in the field of Artificial Intelligence. A very interesting branch of such planning studies is epistemic planning. Epistemic plans are such plans where the attained goal revolves around knowledge of some intelligent agents. One of the more popular modeling techniques and underlying language to handle knowledge of intelligent agents is provided by dynamic epistemic logic (DEL). It uses Kripke models that have possible states of truth and relations to model knowledge. It also uses a similar technique to model actions or events that update the knowledge state. Since DEL deals with …
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 …
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 …
High-Capacity, Reversible, And Energy-Efficient Water Vapor Sorption By Hierarchical Micro-To-Macroporous Carbon Aerogels From Polybenzoxazine And Polybenzodiazine, Vaibhav A. Edlabadkar, Rushi U. Soni, Stephen Y. Owusu, A. B.M.Shaheen Ud Doulah, Nicholas Leventis, Chariklia Sotiriou-Leventis
High-Capacity, Reversible, And Energy-Efficient Water Vapor Sorption By Hierarchical Micro-To-Macroporous Carbon Aerogels From Polybenzoxazine And Polybenzodiazine, Vaibhav A. Edlabadkar, Rushi U. Soni, Stephen Y. Owusu, A. B.M.Shaheen Ud Doulah, Nicholas Leventis, Chariklia Sotiriou-Leventis
Chemistry Faculty Research & Creative Works
Quantitative, reversible water vapor sorption is in rising demand for applications ranging from home appliances to atmospheric water harvesting. However, most sorbents suffer from low water-uptake capacities, nonreusability, and especially high regeneration temperatures. This study addresses this challenge by introducing polybenzoxazine- (PBO) and polybenzodiazine-derived (PBDAZ) carbon aerogels as reversible high-capacity desiccants. PBO and PBDAZ aerogels were prepared from structurally related monomers via HCl-catalyzed ring opening polymerization. Both types of aerogels were first aromatized at 200–240 °C under air or O2 and then were carbonized at 800 °C under Ar. These as-prepared carbon aerogels were further etched at 1000 °C under …
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 …
Performance Analysis Of Flapping-Foil Energy Harvesters Under Shear-Flow Conditions, Maqusud Alam, Bubryur Kim, Shehnaz Akhtar, Sujeen Song, Zengshun Chen, Jinwoo An
Performance Analysis Of Flapping-Foil Energy Harvesters Under Shear-Flow Conditions, Maqusud Alam, Bubryur Kim, Shehnaz Akhtar, Sujeen Song, Zengshun Chen, Jinwoo An
Civil Engineering Faculty Publications
Flapping-foil energy harvesters represent a promising technology for extracting energy from fluid flows, although their performance under shear-flow conditions is poorly understood. To address this research gap, we investigated the impact of power-law shear flow on the performance of flapping-foil energy harvesters. We conducted numerical simulations at different Reynolds numbers (Re = 1000, 50 000, and 500 000) under uniform-flow and shear-flow conditions. Based on the results, shear flow minimally affected the power outputs at Re = 1000 and 50 000, where viscous forces dominate the flow dynamics. However, at Re = 500 000, shear flow significantly reduced the …
Re: Butte Priority Soils Operable Unit (Bpsou) Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp): Bres No. 120 – Bonanza Dump, Mike Mcanulty
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Characterizing Problematic Images In Retracted Scientific Articles, João Phillipe Cardenuto, Daniel Moreira, Anderson Rocha
Characterizing Problematic Images In Retracted Scientific Articles, João Phillipe Cardenuto, Daniel Moreira, Anderson Rocha
Computer Science: Faculty Publications and Other Works
This cross-sectional study analyzed retracted articles flagged for problematic image manipulation (e.g., image duplication) in the Retraction Watch Database (56,716 entries as of October 4, 2024). We focused on entries containing the term image in the retraction reason (8002 entries) and further refined the dataset to those discussed on PubPeer (2078 after duplicate removal) to gain more detailed insights into the image problems. Data extracted included figure types (eg, microscopy, gel blot), the context of image misuse (eg, within-article, between-article), and the type of manipulation (e.g., duplication, splicing). The study highlights the prevalence of gel blot images and between-article image …
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.
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 …
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 …
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
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 …
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 …
Memory-Efficient Graph Processing On Gpus: Reducing Intermediate Data Structure Overhead, Chang Ye
Memory-Efficient Graph Processing On Gpus: Reducing Intermediate Data Structure Overhead, Chang Ye
Dissertations and Theses Collection (Open Access)
The increasing scale of real-world graphs in domains such as fraud detection, community detection, and biological analysis demands high-throughput, memory-efficient graph processing solutions. GPUs offer massive parallelism for accelerating such workloads, and numerous frameworks have been developed to leverage their computational power. These frameworks primarily focus on optimizing scheduling to better align graph processing with GPU architectures. It performs well for algorithms with low memory demands, such as BFS, SSSP, and PageRank. However, for algorithms that require substantial memory, such as label propagation, and subgraph counting, the limited memory capacity of GPUs often becomes a significant bottleneck.
This dissertation addresses …
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 …
Ibi-Dt: A Novel Approach Combining Individualized Bayesian Inference And Decision Tree For Identifying Cancer Drivers And Their Interactions, Md Asad Rahman, Gregory F. Cooper, Jinying Zhao, Xinghua Lu, Jinling Liu
Ibi-Dt: A Novel Approach Combining Individualized Bayesian Inference And Decision Tree For Identifying Cancer Drivers And Their Interactions, Md Asad Rahman, Gregory F. Cooper, Jinying Zhao, Xinghua Lu, Jinling Liu
Engineering Management and Systems Engineering Faculty Research & Creative Works
Cancer is mainly caused by a relatively small portion of somatic genome alterations (SGAs), called cancer drivers. Despite success in identifying a good number of cancer drivers, many more remain to be discovered to explain various cancers. Moreover, limited tools are available to identify potential interactions among cancer drivers for a better understanding of oncogenesis. To tackle these challenges, we have developed a novel approach called individualized Bayesian inference using a decision tree (IBI-DT). IBI-DT recognizes the genetic heterogeneity among cancer patients, where different individuals or patient subgroups of distinct genomic makeup may have different drivers. IBI-DT works by constructing …
A Unified Dnn Weight Compression Framework Using Reweighted Optimization Methods, Mengchen Fan, Tianyun Zhang, Xiaolong Ma, Jiacheng Guo, Zheng Zhan, Et. Al.
A Unified Dnn Weight Compression Framework Using Reweighted Optimization Methods, Mengchen Fan, Tianyun Zhang, Xiaolong Ma, Jiacheng Guo, Zheng Zhan, Et. Al.
Computer Science Faculty Publications
To address the large model sizes and intensive computation requirements of deep neural networks (DNNs), weight pruning techniques have been proposed and generally fall into two categories: static regularization-based pruning and dynamic regularization-based pruning. However, the static method often leads to either complex operations or reduced accuracy, while the dynamic method requires extensive time to adjust parameters to maintain accuracy while achieving effective pruning. In this paper, we propose a unified robustness-aware framework for DNN weight pruning that dynamically updates regularization terms bounded by the designated constraint. This framework can generate both non-structured sparsity and different kinds of structured sparsity, …
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.
Assessing The Effectiveness Of Crawlers And Large Language Models In Detecting Adversarial Hidden Link Threats In Meta Computing, Junjie Xiong, Mingkui Wei, Zhuo Lu, Yao Liu
Assessing The Effectiveness Of Crawlers And Large Language Models In Detecting Adversarial Hidden Link Threats In Meta Computing, Junjie Xiong, Mingkui Wei, Zhuo Lu, Yao Liu
Computer Science Faculty Research & Creative Works
In the emerging field of Meta Computing, where data collection and integration are essential components, the threat of adversary hidden link attacks poses a significant challenge to web crawlers. In this paper, we investigate the influence of these attacks on data collection by web crawlers, which famously elude conventional detection techniques using large language models (LLMs). Empirically, we find some vulnerabilities in the current crawler mechanisms and large language model detection, especially in code inspection, and propose enhancements that will help mitigate these weaknesses. Our assessment of real-world web pages reveals the prevalence and impact of adversary hidden link attacks, …
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 …