cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Finding an “Ultimate Truth”: Uncovering Moral Economies on Waste-to-Energy Incineration in Baltimore
Creators: name: Washington, Tanisha
Publisher: name: George Mason University
Year: 2022
Subjects: subject: Moral economy
subject: Agency
subject: Morality
subject: Ethics

description: This thesis adds to the anthropological literature of morality as it seeks to understand the innerworkings of the moral economy of waste-to-energy incineration in Baltimore. The objective of this thesis is to ascertain the mechanisms that perpetuate this injustice which is completed by employing a moral-economic framework that extrapolates stakeholder priorities in three levels of analysis including the State regulation of waste incineration, the varying stakeholder groups and their moral inclinations of the market, and the agency expressed by nonprofit workers organizing around environmental issues in these contexts. Findings reveal that the State's validity of waste-to-energy incineration as a viable source of renewable energy morally legitimizes the negative health outcomes and ecological degradation incurred in the market. However, this contingency is being challenged by nonprofit workers who morally prioritize the amplification of the collective needs of the community as defined by the residents themselves.
Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions
Creators: name: Moraliyage, Harsha Kumara
name: Haputhanthri, Dilantha
name: Samarajeewa, Chamod Damitha
name: Mills, Nishan
name: De Silva, Daswin
name: Manic, Milos
name: Jennings, Andrew
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 400508
subject: Infrastructure engineering and asset management
classificationCode: 46
subject: Information and computing sciences
classificationCode: 4602
subject: Artificial intelligence
classificationCode: 4611
subject: Machine learning

description: No description supplied
Project Archetypes: A Blessing and a Curse for AI Development
Creators: name: Dolata, Mateusz
name: Crowston, Kevin
name: Schwabe, Gerhard
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Software projects rely on what we call project archetypes, i.e., pre-existing mental images of how projects work. They guide distribution of responsibilities, planning, or expectations. However, with the technological progress, project archetypes may become outdated, ineffective, or counterproductive by impeding more adequate approaches. Understanding archetypes of software development projects is core to leverage their potential. The development of applications using machine learning and artificial intelligence provides a context in which existing archetypes might outdate and need to be questioned, adapted, or replaced. We analyzed 36 interviews from 21 projects between IBM Watson and client companies and identified four project archetypes members initially used to understand the projects. We then derive a new project archetype, cognitive computing project, from the interviews. It can inform future development projects based on AI-development platforms. Project leaders should proactively manage project archetypes while researchers should investigate what guides initial understandings of software projects.
description: Presented at International Conference on Information Systems, ICIS, in Copenhagen, 2022
Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions
Creators: name: Moraliyage, Harsha Kumara
name: Haputhanthri, Dilantha
name: Samarajeewa, Chamod Damitha
name: Mills, Nishan
name: De Silva, Daswin
name: Manic, Milos
name: Jennings, Andrew
Publisher: name: La Trobe
Year: 2024

description: No description supplied
Predicting successful draft outcome in Australian Rules football: Model sensitivity is superior in neural networks when compared to logistic regression
Creators: name: Jennings, Jacob
name: Perret, JC
name: Wundersitz, Daniel
name: Sullivan, Courtney
name: Cousins, Stephen
name: Kingsley, Michael
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 32
subject: Biomedical and clinical sciences
classificationCode: 4207
subject: Sports science and exercise
classificationCode: 46
subject: Information and computing sciences
classificationCode: 4611
subject: Machine learning

description: Using logistic regression and neural networks, the aim of this study was to compare model performance when predicting player draft outcome during the 2021 AFL National Draft. Physical testing, in-game movement and technical involvements were collected from 708 elite-junior Australian Rules football players during consecutive seasons. Predictive models were generated using data from 465 players (2017 to 2020). Data from 243 players were then used to prospectively predict the 2021 AFL National Draft. Logistic regression and neural network models were compared for specificity, sensitivity and accuracy using relative cut-off thresholds from 5% to 50%. Using factored and unfactored data, and a range of relative cut-off thresholds, neural networks accounted for 73% of the 40 best performing models across positional groups and data configurations. Neural networks correctly classified more drafted players than logistic regression in 88% of cases at draft rate (15%) and convergence threshold (35%). Using individual variables across thresholds, neural networks (specificity = 79 ± 13%, sensitivity = 61 ± 24%, accuracy = 76 ± 8%) were consistently superior to logistic regression (specificity = 73 ± 15%, sensitivity = 29 ± 14%, accuracy = 66 ± 11%). Where the goal is to identify talented players with draft potential, model sensitivity is paramount, and neural networks were superior to logistic regression.
Evaluation of Plant Growth, Yield and Yield Attributes of Biofield Energy Treated Mustard (Brassica juncea) and Chick Pea (Cicer arietinum) Seeds
Creators: name: Trivedi, Mahendra
Publisher: name: SMN - The ScienceMedia Network
Year: 2016
Subjects: Natural Sciences
Earth sciences

description: The present study was carried out to evaluate the effect of Mr. Trivedi’s biofield energy treatment on mustard (Brassica juncea) and chick pea (Cicer arietinum) for their growth, yield, and yield attributes. Both the samples were divided into two groups. One group was remained as untreated and coded as control, while the other group (both seed and plot) was subjected to Mr. Trivedi’s biofield energy treatment and referred as the treated. The result showed the plant height of mustard and chick pea was increased by 13.2 and 97.41%, respectively in the treated samples as compared to the control. Additionally, primary branching of mustard and chick pea was improved by 7.4 and 19.84%, respectively in the treated sample as compared to the control. The control mustard and chick pea crops showed high rate of infection by pests and diseases, while treated crops were free from any infection of pests and disease. The yield attributing characters of mustard showed, lucidly higher numbers of siliquae on main shoot, siliquae/plant and siliquae length were observed in the treated seeds and plot as compared with the control. Moreover, similar results were observed in the yield attributing parameters of chick pea viz. pods/plant, grains/pod as well as test weight of 1000 grains. The seed and stover yield of mustard in treated plots were increased by 61.5% and 25.4%, respectively with respect to the control. However, grain/seed yield of mustard crop after biofield energy treatment was increased by 500% in terms of kg per meter square as compared to the control. Besides, grain/seed yield of chick pea crop after biofield energy treatment was increased by 500% in terms of kg per meter square. The harvest index of biofield treated mustard was increased by 21.83%, while it was slight increased in case of chick pea. In conclusion, the biofield energy treatment could be used on both the seeds and plots of mustard and chick pea as an alternative way to increase the production and yield.
FX Touch Option Introduction and Valuation Guide
Creators: name: Lee, David
Publisher: name: Zenodo
Year: 2020
Subjects: FX touch option, FX barrier option, FX option. option valuation

description: A touch option is a transaction with one or two barriers. The buyer of the option will get a cash amount either if the barrier is touch or not touched. Touch options are becoming increasingly popular because they pay much higher yields compared to high/low options.
description: https://ia803408.us.archive.org/9/items/fx-touch-24/FxTouch-archive.pdf
FX Touch Option Explained
Creators: name: Alex Yang
Publisher: name: Zenodo
Year: 2020
Subjects: FX touch option, FX barrier option, FX option. option valuation

description: A touch option is a contract with one or two barriers. The buyer of the option will get a cash amount if the price of an underlying asset reaches or passes a predetermined level.
description: https://ia803408.us.archive.org/9/items/fx-touch-24/FxTouch-archive.pdf
FX Touch Option Explained
Creators: name: Alex Yang
Publisher: name: Zenodo
Year: 2025
Subjects: FX touch option, FX barrier option, FX option. option valuation

description: A touch option is a contract with one or two barriers. The buyer of the option will get a cash amount if the price of an underlying asset reaches or passes a predetermined level.
description: A touch option is a contract with one or two barriers. The buyer of the option will get a cash amount if the price of an underlying asset reaches or passes a predetermined level.
Lsst Data Management Software Development
Creators: name: Jenness, Tim
Publisher: name: Zenodo
Year: 2016
Subjects: LSST
Software Development

description: The LSST Data Management team consists of a large team of approximately 80 developers spread across six institutions and three time zones. We develop software using agile techniques linked to an earned value management system. This talk provides an overview of our process for using JIRA to track software progress and our use of git and continuous integration systems to deliver the software.
description: Presentation given at the National Center for Supercomputing Applications (NCSA) monthly software meeting.
CHET TILLARNI O'RGATISHDA INTEGRATIV YONDASHUVNING AHAMIYATI
Creators: name: Toshkent amaliy fanlar universiteti                          Chet tillar 2 kafedrasi v.b. dotsenti.  Ergashova Feruza Yuldashevna Toshkent amaliy fanlar universiteti Talabasi: Jalilov Firdavs Uchkun o'g'li
Publisher: name: Zenodo
Year: 2025

description: Ushbu maqolada chetlarini o‘rgatishda integrallashtirishning mazmuni, va o‘quv jarayoniga tabiq etish usullari tahlil qilingan. Integrativ yondashuv orqali o‘quvchilarning kommunikativ, madaniy va intellektual kompetensiyalarini yanada chuqurlashtiradi. Maqolada zamonaviylar va hujjat ozaro uyg‘unlashuvi asosida samarali o‘qitishning nazariy va amaliy metodikasi yoritilgan.
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
Creators: name: Ji, Xiaoyang
name: Zhou, Yuchen
name: Yang, Haofu
name: Xu, Shiyue
name: Li, Jiahao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Emerging Technologies (cs.ET)
subject: FOS: Computer and information sciences

description: Graph clustering, a classical task in graph learning, involves partitioning the nodes of a graph into distinct clusters. This task has applications in various real-world scenarios, such as anomaly detection, social network analysis, and community discovery. Current graph clustering methods commonly rely on module pre-training to obtain a reliable prior distribution for the model, which is then used as the optimization objective. However, these methods often overlook deeper supervised signals, leading to sub-optimal reliability of the prior distribution. To address this issue, we propose a novel deep graph clustering method called CGCN. Our approach introduces contrastive signals and deep structural information into the pre-training process. Specifically, CGCN utilizes a contrastive learning mechanism to foster information interoperability among multiple modules and allows the model to adaptively adjust the degree of information aggregation for different order structures. Our CGCN method has been experimentally validated on multiple real-world graph datasets, showcasing its ability to boost the dependability of prior clustering distributions acquired through pre-training. As a result, we observed notable enhancements in the performance of the model.
description: 6 pages, 3 figures
On the Response of the Transition Region and the Corona to Rapid Excursions in the Chromosphere
Creators: name: Chaurasiya, Ravi
name: Bayanna, Ankala Raja
name: Louis, R. E.
name: Pereira, T. M. D.
name: Mathew, S. K.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Spicules are the thin hair/grass-like structures that are prominently observed at the chromospheric solar limb. It is believed that fibrils and rapid blueshifted and redshifted excursions (RBEs and RREs; collectively referred to as REs) correspond to on-disk counterparts of type I spicules and type II spicules, respectively. Our investigation focuses on observing the response of these REs alongside similar spectral features in the chromosphere, transition Region (TR), and corona, utilizing space-time plots derived from coordinated observations from Swedish 1 m Solar Telescope/Hα, Interface Region Imaging Spectrograph (IRIS), and Solar Dynamics Observatory. Our analysis reveals upflowing REs, promptly reaching temperatures characteristic of the TR and corona, indicating a multi-thermal nature. Similarly, downflowing features exhibiting similar spectral signatures over the disk display plasma motion from the corona to chromospheric temperatures, demonstrating a multithermal nature. In addition to distinct upflows and downflows, we observe sequential upflow and downflow along the same path, depicting a distinctive parabolic trajectory in space-time plots of observations sampling TR and various coronal passbands. Similar to isolated upflows and downflows, these REs also exhibit a multi-thermal nature throughout their trajectory. Furthermore, our results reveal a more intricate motion of the REs in which both upflow and downflow coexist at the same spatial location. On a different note, our analysis, utilizing coordinated IRIS spectral observations, shows spatio-temporal redshifts/downflows in both the TR and chromosphere, suggesting that at least subsets of the strong redshifts/downflows observed in TR temperature spectra result from the return from the upper atmosphere flow of plasma in the form of bundles of spicules or features exhibiting similar spectra.
title: Attributional Ruletrees: A New Representation for AQ Learning
Creators: name: Michalski, Ryszard S.
Publisher: name: George Mason University
Year: 2002

description: Attributional ruletrees are proposed as an extension of the current ruleset representation used by AQ type learning. The ruletrees split a multiclass classification problem into separate subproblems using a class splitting attribute. The resulting representation can be graphically represented as a tree whose root is assigned the class splitting attribute, branches stemming from the root are values (or sets of values) determining subsets of classes, and leaves are assigned ruleset families for classifying events to classes in these subsets. The values on the branches from the root thus define preconditions for applying ruleset families. Ruletrees are easy to interpret and understand, and can be generated by a relatively simple modification of the AQ algorithm presented below.
Sparse Spiking Neural-like Membrane Systems on Graphics Processing Units
Creators: name: Hernández-Tello, Javier
name: Martínez-del-Amor, Miguel Ángel
name: Orellana-Martín, David
name: Cabarle, Francis George C.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: The parallel simulation of Spiking Neural P systems is mainly based on a matrix representation, where the graph inherent to the neural model is encoded in an adjacency matrix. The simulation algorithm is based on a matrix-vector multiplication, which is an operation efficiently implemented on parallel devices. However, when the graph of a Spiking Neural P system is not fully connected, the adjacency matrix is sparse and hence, lots of computing resources are wasted in both time and memory domains. For this reason, two compression methods for the matrix representation were proposed in a previous work, but they were not implemented nor parallelized on a simulator. In this paper, they are implemented and parallelized on GPUs as part of a new Spiking Neural P system with delays simulator. Extensive experiments are conducted on high-end GPUs (RTX2080 and A100 80GB), and it is concluded that they outperform other solutions based on state-of-the-art GPU libraries when simulating Spiking Neural P systems.
title: Economic Feasibility of Using Municipal Solid Waste and Date Palm Waste for Clean Energy Production in Qatar
Creators: name: Al-Moftah, Ahmad Mohamed S. H.
name: Alnajideen, Mohammad
name: Alafifi, Fatima
name: Czyzewski, Pawel
name: Shi, Hao
name: Alherbawi, Mohammad
name: Navaratne, Rukshan
name: Valera-Medina, Agustin
Publisher: name: MDPI
Year: 2025

description: The transition to clean energy is crucial for mitigating the impacts of climate change and achieving sustainable development. Reliance on fossil fuels, which are integral to manufacturing and transportation, remains a major contributor to greenhouse gas (GHG) emissions. Biomass gasification presents a renewable energy alternative that can significantly reduce emissions. However, proper disposal of municipal solid waste (MSW) and agricultural residues, such as date palm waste (DPW), is an increasing global challenge, including in Qatar. This study evaluates the economic feasibility of implementing an MSW and DPW gasification plant for clean electricity generation in Qatar. The country’s growing population and economic development have led to substantial waste production, making it an ideal location for waste-to-energy (WTE) initiatives. Using discounted cash flow (DCF) analysis, the study estimates the capital cost of a 373 MWth facility at approximately $12.07 million, with annual operating costs of about $4.09 million and revenue of $26.88 million in 2023. The results indicate a net present value (NPV) of $245.77 million, a return on investment (ROI) of 84.80%, a payback period of approximately 5 years over a 20-year project lifetime and a net reduction of 206,786 tonnes CO₂ annually. These findings demonstrate the economic viability of biomass gasification in Qatar while contributing to reduced GHG emissions and advancing the country’s sustainability goals under Qatar National Vision 2030.
title: Report: Anonymous, "Executive Summary: Riverton," November 4, 1973
Creators: name: Anonymous
Publisher: name: George Mason University
Year: 2006
Subjects: subject: New communities

description: Textual: Report, copy; 10.5” x 8” (25.4 cm x 21.6 cm)
description: Report by an anonymous author, probably with the Department of Housing and Urban Development, entitled "Executive Summary: Riverton" dated November 4, 1973. This report discusses the background and financial history of the development of Riverton. It also discusses issues and concerns with the development. Riverton is located in Henrietta, New York, near Rochester. Planned Community Archives Collection, 484.04
title: Letter affirming Alexander Haight's loyalty to the Union
Creators: name: Haight, Alexander
Publisher: name: George Mason University
Year: 2011
Subjects: subject: Virginia
subject: Haight, Alexander, 1822-1880

description: Public domain. There are no known use restrictions.
description: Letter from Robert Johnstone affirming Alexander Haight's loyalty to the Union and insuring his protection by Union soldiers.
Efficient finite element schemes for a phase field model of two-phase incompressible flows with different densities
Creators: name: Wang, Jiancheng
name: Li, Maojun
name: Wang, Cheng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: In this paper, we present two multiple scalar auxiliary variable (MSAV)-based, finite element numerical schemes for the Abels-Garcke-Gr{ü}n (AGG) model, which is a thermodynamically consistent phase field model of two-phase incompressible flows with different densities. Both schemes are decoupled, linear, second-order in time, and the numerical implementation turns out to be straightforward. The first scheme solves the Navier-Stokes equations in a saddle point formulation, while the second one employs the artificial compressibility method, leading to a fully decoupled structure with a time-independent pressure update equation. In terms of computational cost, only a sequence of independent elliptic or saddle point systems needs to be solved at each time step. At a theoretical level, the unique solvability and unconditional energy stability (with respect to a modified energy functional) of the proposed schemes are established. In addition, comprehensive numerical simulations are performed to verify the effectiveness and robustness of the proposed schemes.
title: Digital Campus Podcast - Episode 111 - The Next Big Thing
Creators: name: Roy Rosenzweig Center For History And New Media, /
Publisher: name: George Mason University
Year: 2015
Subjects: subject: Awards
subject: Books
subject: Conferences
subject: Digital humanities
subject: Publishing

description: Originally published by the Center for History and New Media through the Digital Campus podcast (http://digitalcampus.tv). This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (http://creativecommons.org/licenses/by-nc-sa/4.0/).
description: After a long break, our podcast regulars, Stephen Robertson and Mills Kelly, were led by Amanda French in our first 2015 podcast. After a quick check-in on their current projects, the group kicked it off with a review of the winter academic conferences. Next, they discussed the announcement that Stanford University Press was awarded funding from the Andrew W. Mellon Foundation for the publishing of interactive scholarly works. On the subject of digital scholarship, Amanda mentioned the Humanities Open Book project which was recently funded by both the National Endowment for the Humanities (NEH) and the Mellon Foundation. Shifting the discussion to pedagogy, Mills addressed the way in which students may engage with the humanities differently through wearable computing. This podcast was produced by Digital History Fellows Jordan Bratt and Jannelle Legg.
title: Computational Analysis of Bovine miRNAs across Different Tissues and Species
Creators: name: Betrapally, Naga Sridhar
Publisher: name: George Mason University
Year: 2012
Subjects: subject: Micro RNAs
subject: Bovine
subject: Tissue specificity
subject: Clustering analysis
subject: Regulating miRNA

description: MicroRNAs (miRNAs) are small non-coding RNA molecules of approximately 22 nucleotides in length. They are present as genome-encoded stem-loop precursors that recognize target mRNAs by base pairing, which then regulates their expression. Due to their influence in the expression of hundreds of genes, they play a role in regulation of gene expression for numerous biological processes such as in animal development, apoptosis, fat metabolism and hematopoietic differentiation. Initial studies showed that most miRNAs are conserved among related species. However, recent studies have shown that newly identified miRNAs tend to be species specific. miRNAs are known to have differential expression patterns during development and across tissues but there is not much known about relative abundance and specificity of expression patterns among tissues for most bovine miRNAs. Profiling of bovine miRNAs and evaluation of their expression patterns were carried out in this study for a total of 64 different tissues from bovine Calf and Fetus. The study was carried out to identify tissue specificity and tissue class specificity. Analysis based on this principle revealed tissue specificity for a certain class of miRNAs. Further analysis and deep sequencing of the data shall help us identify the functional role of miRNAs in these tissues.
Assessing the residual biases in high-resolution transit absorption spectra correction
Creators: name: Dethier, W.
name: Tessore, B.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: In recent years it has become common practice to divide observed transit absorption spectra by synthetic absorption spectra computed for the transit of an atmosphere-less planet. This action supposedly corrects the observed absorption spectrum, leaving the sole atmospheric absorption signature free from the biases induced by stellar rotation and centre-to-limb variations. We aim to show that while this practice is beneficial, it does not completely correct the absorption spectrum from the stellar distortions and that some residual biases remain, leaving a possibly altered atmospheric signature. By reducing the problem to its most basic form, we show that dividing the observed absorption spectrum by a synthetic absorption spectrum of the planet does not isolate the pure atmospheric absorption signature. We also used simulated synthetic transit observations to assess the magnitude of these residual biases in typical transit observations. We show that dividing the observed absorption spectrum by the planetary absorption spectrum results in an atmospheric signature modulated by the ratio of the flux behind the atmosphere and the flux behind the planet. Depending on the non-homogeneity of the stellar spectrum, this leads to distorted atmospheric signatures. Eventually, directly analysing these biased signatures will lead to wrong estimates of planetary atmosphere properties.
title: The City of David: A Biography of Place
Creators: name: Maakestad, Robert
Publisher: name: George Mason University
Year: 2018
Subjects: subject: Jerusalem
subject: Archaeology
subject: City of David
subject: Palestine
subject: Religion

description: This thesis has been embargoed and will not be available until March 7, 2032 at the earliest.
description: This thesis traces the history of the City of David, an archaeological site in Jerusalem. Starting with the person of David in the Bible, and moving forward toward archaeologists present, this thesis uses the lens of various persons connected to this site to examine the development of the City of David throughout time.
title: Article: Wolf Von Eckardt, 7 November 1964.
Creators: name: Von Eckardt, Wolf
Publisher: name: The New Republic
Year: 1964
Subjects: subject: Reston (Va.)
subject: England
subject: Finland

description: Article: photocopy, 11" x 8.5" (27.9cm x 21.6cm) This submission contains only the title page and first page of article, for legal reasons. For full article, visit www.tnr.com.
description: Article titled America Tomorrow: Creating the Great Society, by Wolf Von Eckardt, printed in The New Republic, 7 November 1964. This article is broken into seven sub-sections: introduction; What's in it For Me?; Eggheads in Suburbia; Fractured Communities; a Civilized Environment; Uses of Open Space; and a Joy to Behold. Von Eckardt is skeptical about Robert E. Simon's investment and America's reaction to it; namely people wanting to live so close, even above, shops and restaurants in this new town. Von Eckardt traces the planned community's roots in England; discusses town centers in Finland; restlessness in suburbia; society's duty to provide affordable housing and transportation; and the human need for open spaces. Planned Communitiy Archives Collection, 444.03.
Bright Star Subtraction Pipeline for LSST: Phase one report
Creators: name: Bazkiaei, Amir E.
name: Kelvin, Lee S.
name: Brough, Sarah
name: O'Toole, Simon J.
name: Watkins, Aaron
name: Schmitz, Morgan A.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present the phase one report of the Bright Star Subtraction (BSS) pipeline for the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). This pipeline is designed to create an extended PSF model by utilizing observed stars, followed by subtracting this model from the bright stars present in LSST data. Running the pipeline on Hyper Suprime-Cam (HSC) data shows a correlation between the shape of the extended PSF model and the position of the detector within the camera's focal plane. Specifically, detectors positioned closer to the focal plane's edge exhibit reduced circular symmetry in the extended PSF model. To mitigate this effect, we present an algorithm that enables users to account for the location dependency of the model. Our analysis also indicates that the choice of normalization annulus is crucial for modeling the extended PSF. Smaller annuli can exclude stars due to overlap with saturated regions, while larger annuli may compromise data quality because of lower signal-to-noise ratios. This makes finding the optimal annulus size a challenging but essential task for the BSS pipeline. Applying the BSS pipeline to HSC exposures allows for the subtraction of, on average, 100 to 700 stars brighter than 12th magnitude measured in g-band across a full exposure, with a full HSC exposure comprising ~100 detectors.
description: 11 pages, 8 figures, published in Proc. SPIE 13101, Software and Cyberinfrastructure for Astronomy VIII, 131013N (25 July 2024)
CARUL Translation - Abstract 1 in French - Susanna Trnka (1).docx
Creators: name: Davies, Sharyn
name: Long, Nicholas
name: Trnka, Susanna
name: Laws, Megan
name: Appleton, Nayantara
name: Sterling, Rogena
name: Fehoko, Edmond
name: Holroyd, Eleanor
name: Deckert, Antje
name: Manoussios, Helena
Publisher: name: Monash University
Year: 2022
Subjects: subject: 160104 Social and Cultural Anthropology
subject: FOS: Sociology

description: En négociant les risques et les responsabilités pendant le confinement: la réflexion éthique et l'expérience affective en Aotearoa Nouvelle-Zélande.
title: Real Time
Creators: name: Tucholski, David
Publisher: name: George Mason University
Year: 2013
Subjects: subject: Fiction
subject: Dysfunctional family
subject: Novel
subject: Technology
subject: Domestic issues

description: This thesis is a novel about a thirty-six-year-old software consultant with an obsessive personality named Brent Stannic. At the novel’s opening, Brent’s obsessions focus primarily on the past, namely the dissolution of his once hugely successful high-frequency trading firm called Real Time Trades. Six years ago, this event not only ruined him financially, but also resulted in a temporary but catastrophic mental collapse, the effects of which still haunt him today. As a result, Brent’s obsessions have grown incessantly worse, alienating him from his wife, Meredith, and his fourteen-year-old daughter, Angie. But just as Brent is suffering the destructive effects of one obsession, he finds a new, more dangerous one in a young, politically-driven co-worker named Ava Malek, and in her he sees a chance to connect. But while his attention is diverted with this latest distraction, Brent will fail to see a looming disaster, one that threatens Angie as she forms a dangerous new connection of her own.
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models
Creators: name: Li, Haoxuan
name: Yang, Zhengmao
name: Ma, Yunshan
name: Bin, Yi
name: Yang, Yang
name: Chua, Tat-Seng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Multimedia (cs.MM)
subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences
subject: H.3.3

description: We study an emerging and intriguing problem of multimodal temporal event forecasting with large language models. Compared to using text or graph modalities, the investigation of utilizing images for temporal event forecasting has not been fully explored, especially in the era of large language models (LLMs). To bridge this gap, we are particularly interested in two key questions of: 1) why images will help in temporal event forecasting, and 2) how to integrate images into the LLM-based forecasting framework. To answer these research questions, we propose to identify two essential functions that images play in the scenario of temporal event forecasting, i.e., highlighting and complementary. Then, we develop a novel framework, named MM-Forecast. It employs an Image Function Identification module to recognize these functions as verbal descriptions using multimodal large language models (MLLMs), and subsequently incorporates these function descriptions into LLM-based forecasting models. To evaluate our approach, we construct a new multimodal dataset, MidEast-TE-mm, by extending an existing event dataset MidEast-TE-mini with images. Empirical studies demonstrate that our MM-Forecast can correctly identify the image functions, and further more, incorporating these verbal function descriptions significantly improves the forecasting performance. The dataset, code, and prompts are available at https://github.com/LuminosityX/MM-Forecast.
title: Congressional Record: Congratulating George Mason University on Its Final Four Appearance, March 28, 2006
Creators: name: Davis, Tom
Publisher: name: George Mason University
Year: 2006
Subjects: subject: George Mason University
subject: Basketball
subject: National Collegiate Athletic Association (NCAA)
subject: Colonial Athletic Association (CAA)
subject: Larranaga, Jim
subject: Caputo, Chris
subject: Cherry, Scott
subject: Johnson, James
subject: Skinn, Tony
subject: Carter, Jordan
subject: Konate, Makan
subject: Norwood, Gabe
subject: Burns, Tim
subject: Urbina, Jesus
subject: Butler, Lamar
subject: Vaughan, John
subject: Thomas, Will
subject: Fleming, Chris
subject: Campbell, Folarin
subject: Hernandez, Charles
subject: Lewis, Jai

description: Congressional Record: paper printout from online source: 8.5" x 11" (21.6 cm x 27.9 cm)
description: Submission to the Congressional Record by Rep. Tom Davis (R-VA) congratulating George Mason University on their appearance in the NCAA Final Four tournament. The entry appeared in the Congressional Record on March 28, 2006: H1135-H1136. 2005-06. Men's Basketball Season and Tournament Run Collection
Supplementary document for A high-throughput multimodal widefield Fourier-transform Raman microscope - 6404884.pdf
Creators: name: Manzoni, Cristian
name: Ardini, Benedetto
name: Vanna, Renzo
name: Bassi, Andrea
name: Candeo, Alessia
name: Genco, Armando
name: Trovatello, Chiara
name: Liu, Fang
name: Zhu, Xiaoyang
name: Valentini, Gianluca
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supporting Information
title: Newspaper Column: At Last a Name for the No-Name Group
Creators: name: Nicoson, William J.
Publisher: name: Reston Times
Year: 2003
Subjects: subject: COROL
subject: Coalition of Reston Organizational Leadership
subject: Reston (Va.)
subject: No Name Group

description: PDF file distilled from original WordPerfect document. Original size 11" x 8.5".
description: The legendary No Name Group has at last found a name. It will henceforth be known as the Coalition of Reston Organizational Leadership or COROL. The No Name Group got together some years ago to coordinate activities of Reston organizations. Members were the chief executive and chairperson of each organization represented, including Reston Association, Reston Community Center, Reston Citizens Association, Reston Historic Trust, Reston Town Center Association, the Greater Reston Chamber of Commerce, Reston Interfaith, the Greater Reston Arts Center, the Reston YMCA, and LINK.
title: Effects of Spatial Distribution of Stormwater Management Infrastructure on Pollutant Removal Efficiencies at the Watershed Scale: A Geographic Information Systems Approach
Creators: name: Sparkman, Stephanie
Publisher: name: George Mason University
Year: 2015
Subjects: subject: Stormwater management
subject: GIS
subject: Geographic information system
subject: LID
subject: Low impact development
subject: SWBMPs
subject: Stormwater best management practices
subject: Stormwater pollution
subject: Urban stormwater

description: Although urban areas comprise only 7% of the Chesapeake Bay Watershed, stormwater runoff from these areas represents a serious impairment to local streams and downstream ecosystems. Urban stormwater best management practices (SWBMPs) may be designed to retain, detain, or infiltrate stormwater runoff, and are sometimes also designed to treat stormwater runoff by removing or reducing nutrients and sediment. Using SWBMPs to protect streams in the Chesapeake Bay Watershed is of both ecological and economic importance. Conventional management of urban stormwater aims to convey runoff away from a developed area as quickly as possible. More recently, SWBMPs have been used in a distributed or decentralized manner to treat stormwater close to its source. This is sometimes referred to as a low impact development approach to stormwater management. The objective of this research is to compare annual pollutant removal efficiencies of two watersheds in Clarksburg, MD with differing spatial patterns of SWBMP implementation (centralized and distributed), and determine if spatially distributed SWBMPs offer the best water quality benefit. Annual pollutant removal efficiency (APRE) is the measured reduction of pollutants, typically in percent, from the inflow to the outflow of a SWBMP. The Monte Carlo method is applied to the ranges of APRE for each SWBMP. By utilizing the GIS data generated for DAs to each SWBMP, the information given for APRE are integrated to calculate a water quality benefit for the two watersheds. Because each watershed is similar in land cover characteristics, this research emphasizes the effectiveness of the spatial configuration of the SWBMPs. This research shows that spatially distributed SWBMPs remove annually between 0.95-1.00 lbs. more nitrogen, 0.048-0.049 lbs. more phosphorus, and 0.87-0.89 lbs. more sediment on average per acre as compared to centralized SWBMPs. In conclusion, this research utilizes a geographic information system to aid local and state governments to achieve federally mandated water quality regulations. Combined with cost and land use/land cover data, these new APRE data could optimize infrastructure design protocol for new urban development.
title: A TUG OF WAR FOR EFFECTIVENESS: U.S. EFFORTS TO BUILD THE REPUBLIC OF VIETNAM ARMED FORCES (1955-1973)
Creators: name: (:Unkn) Unknown
Publisher: name: George Mason University
Year: 2020

description: The fragile nature of weak states, with their turbulent power structures and corresponding shortfalls in government capacity, creates natural incentives for host nation governments to intervene with efforts to politicize their security forces and restructure them for personal loyalty to government leaders rather than organizational and institutional effectiveness. However, the patron states providing security force assistance for these weak states also possess significant influence over host nation security forces. This influence comes from their ability to inject extensive resources (both financial and personnel) in numerous ways across the host nation system as well as by the “attractiveness” of their more effective and high performing organizations, which produce a degree of emulation in their host nation partner. This study directly focuses on this dynamic – a field of scholarship that has only received limited coverage. This dissertation argues that two aspects of patron state security assistance: 1) the degree of patron intervention/assistance in host nation organizational practices and 2) the nature of the commitment of patron state combat forces are critical factors impacting the relative professionalization of the host nation’s security force organizational practices (the intervening variable). Politicization by the host nation government of a weak state is considered as a constant – pulling organizational practices towards a “politicized” status. But different strategies in the two patron state security force assistance variables can serve as countervailing forces that stop or reverse such negative trends. The outcome of these competing forces upon host nation organizational practices produces variation along a spectrum of security force effectiveness, which we can measure through demonstrated performance on the battlefield. The dissertation examines the three stages of U.S. security force assistance to South Vietnam from 1955 to 1973 as a critical case to understand this variation. During the advisory period from 1955 to 1964, a steadily increasing U.S commitment of advisors and supporting air and logistics capabilities alongside a massive training and equip effort was unable to balance extensive politicization by the Diem regime. From 1965-1968 the U.S. committed major combat forces to prevent the defeat of South Vietnam but its efforts to improve security force effectiveness were limited. During the final, more “partnered” period from 1969-1973, the U.S. did produce major gains in South Vietnamese effectiveness, but these efforts were still a work in progress when the decision was made to withdraw all forces in 1973.
title: Value of Surveillance: Private Policing, Bourgeois Reform, and Sexual Commerce in Turn-of-the-Century New York
Creators: name: (:Unkn) Unknown
Publisher: name: George Mason University
Year: 2022
Subjects: subject: Committee of Fourteen
subject: New York City
subject: Private Policing
subject: Progressive Reform
subject: Sex
subject: Surveillance
subject: American history
subject: Sociology
subject: FOS: Sociology
subject: Sexuality

description: Scholars have long mined the voluminous archive of the Committee of Fourteen (1905–1932) ––a powerful, privately funded law enforcement and anti-prostitution organization backed by influential industrialists and social reformers––to examine various elusive elements of New York City social history, including the emergence of queer subcultures, the extralegal enforcement of Jim Crow by private authorities, and the policing of sex workers, their clients, and "promiscuous" women within and beyond commercial amusement spaces. This dissertation both contributes to and departs from this important body of historical scholarship by providing a Marxian consideration of the Committee of Fourteen’s origins, methods, intellectual contributions, political influence, and published and privately communicated beliefs and/or positions. Exploring the archive with an eclectic mixture of conceptual categories and critical frameworks ready-to-hand, including Marx's work on value theory, Michael Ralph’s “forensics of capital” framework, and Foucauldian theories of biopower and surveillance, this dissertation develops a novel, “ecological” understanding of the Committee of Fourteen as a vital site of capitalist class composition.
title: When Job Demands Undermine Recovery Experiences: Unpacking the Recovery Paradox
Creators: name: (:Unkn) Unknown
Publisher: name: George Mason University
Year: 2022
Subjects: subject: Experience sampling method
subject: Job demands
subject: Recovery
subject: Recovery experiences
subject: Occupational psychology

description: Despite the greater need for recovery when faced with a high level of job demands, empirical evidence suggests that employees are less likely to recover under such circumstances—a phenomenon known as the “recovery paradox.” The present study aims to (1) clarify how different job demands impair recovery experiences and (2) identify boundary conditions in the recovery paradox. Employing an experienced sampling methodology (ESM), data was collected from 163 participants after work and before bedtime over the course of 5 consecutive workdays, resulting in 698 complete day-level responses. Multilevel path analysis was conducted to test the hypotheses. I found partial support for the negative relationships between job demands and recovery experiences as described in the recovery paradox model. There was also empirical support for the indirect effects of emotional demands, as well as overload demands, on psychological detachment via negative affect. However, the same effects did not extend to relaxation and control experiences. There were no significant indirect effects of overload on recovery experiences via work-related technology usage. Lastly, moderating effects of work-home boundary segmentation preference, job resources, and personal resources were not found. Implications, limitations, and future research are discussed.
Deep energy retrofit of social housing: A holistic approach
Creators: name: Furman, Saskia
Publisher: name: Zenodo
Year: 2022

description: Presentation delivered at the European Network for Housing Research (ENHR) Conference 2022. Barcelona, Spain, 30 August 2022.

(This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 956082)
title: Memo: William J. Nicoson to Samuel C. Jackson, "New Legislative Proposals for New Communities," October 27, 1970
Creators: name: Nicoson, William J.
Publisher: name: George Mason University
Year: 2006

description: Textual: Memo, copy; 10.5” x 8” (26.7 cm x 20.3 cm)
description: Memo from William J. Nicoson, Office of New Communities Development, to Samuel C. Jackson, Assistant Secretary for Metropolitan Planning and Development, entitled "New Legislative Proposals for New Communities" and dated October 27, 1970. In this memo, Nicoson discusses legislative proposals for the next year. This new proposals are those not included in the 1970 Housing Bill. Also options that don't require legislation are discussed. Planned Community Archives Collection, 483.05
title: Canola Derived Biodiesel as Blending Agent for Petroleum Based Fuels
Creators: name: Vo, Phung Kim
Publisher: name: George Mason University
Year: 2014
Subjects: subject: Fuel stability
subject: Pyrolysis
subject: Biodiesel
subject: Blending agent
subject: Canola oil

description: The fuel industry has been under significant pressures due to economic and environmental concerns. Finding cleaner and safer alternative fuel source was put in high demand. Biodiesel has been the most favorable source in the biofuel field for a while, and soybean has been the leading feedstock for making biodiesel. There are also other types of oil such as corn, palm, peanut or canola oil for making either 100% biodiesel (B100) or biodiesel blending stock for petroleum based fuels. Canola oil when crushed out will give up to 44% of oil content, the highest oil content among other types of the agricultural oil while soybean has about 20% and corn has 5% of oil content respectively. Because of its properties such as high flash point, lower cloud point and the stability in cold-weather region, and flexible crop season in fall and spring, canola oil methyl ester, derived product of canola oil esterification, was taken into research in which it was subjected to conditions that mimic the petroleum refining process (delayed coking). Four tubes of canola oil ME went through pyrolysis process (90 psi and 400oC) in different time interval: 15, 30, 60 and 90 minutes. Result from GC/MS showed the presence of FAMEs such as palmitic, oleic, elaidic, and stearic acid methyl ester. In GC of 90-minute interval, all FAMEs except stearic acid methyl ester were replaced by hexadecane peaks (C16H34). The total area percentage of all hexadecane peak in GC of 90-minute is 32.27 %.