cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: External Geographic Effects upon Real Estate Prices
Creators: name: Hooley, Reuben
Publisher: name: George Mason University
Year: 2014
Subjects: subject: Real estate
subject: Data mining
subject: Historic district
subject: Property value
subject: Distance

description: This thesis evaluates the influence of external factors on real estate prices in Washington, DC. Most peer reviewed real estate studies compare internal factors of housing units like flooring or number of bathrooms rather than external influences like Interstate access. This study looks at nine different external factors in general categories of zoning regulations, proximity to undesirable environmental influences, proximity to desirable transportation conveniences and the influence of defined growth districts. This study generated measurable interval and ratio dimensions from data provided by the District of Columbia government for each of the nine variables and compared it to the most significant internal factor: price per floor space. This study establishes the significance levels for each of the nine dimensions with arithmetic mean trend analysis and regression analysis. Then through Pearson correlation, Apriori association analysis and Decision Stump classification, this thesis found that proximity to historical districts has the most significant influence on real estate prices.
title: Letterhead: "Systems Resarch: The offical journal of the International Federation for Systems Research" n.d.
Creators: name: Anonymous
Publisher: name: George Mason University
Year: 2008
Subjects: subject: Warfield, John N.
subject: Systems Research

description: Letterhead: typescript with color (black, gold) 1 pg. 8.5 x 11" (21.6 cm x 29.7 cm)
description: Official stationary identifying Warfield as the Editor-in-Chief of the journal Systems Research. John N. Warfield Collection 18.21.4
Bioinformatics resources on EGI Federated Cloud
Creators: name: Psomopoulos, Fotis E.
name: Korpelainen, Eija
name: Mattila, Kimmo
name: Scardaci, Diego
Publisher: name: F1000Research
Year: 2016

description: Data can be “big” for three reasons – often referred to as the three V's; volume of data, velocity of processing the data, and variability of data sources. If any of these key features are present, then big-data tools are necessary, often combined with high network bandwidth and massive compute systems. As NGS technologies are revolutionizing life science research, established workflows in facilitating the first steps in data analysis are being increasingly employed. Cloud computing provides a robust and cost-efficient solution towards supporting the computational demands of such workflows. In particular, NGS data analysis tools are constantly becoming available as resources within EGI’s Federated Cloud. The European Grid Infrastructure (EGI) is the result of pioneering work that has, over the last decade, built a collaborative production infrastructure of uniform services through the federation of national resource providers that supports multi-disciplinary science across Europe and around the world. EGI currently supports an extensive list of services available for life sciences and has been working together with the community to implement further support. The EGI Federated Cloud (FedCloud), the latest infrastructure and technological offering of EGI, is a prime example of a flexible environment to support both discipline and use case through Big Data services. Finally, in addition to providing access to advanced tools and applications, e-infrastructures like EGI, provide the opportunity to create training tools for life science researchers and to create synergies between life sciences and ICT researchers, which is fundamental in moving research forward.
title: MEBN: A Logic for Open-World Probabilistic Reasoning
Creators: name: Laskey, Kathryn B.
Publisher: name: George Mason University
Year: 2006
Subjects: subject: Multi-entity Bayesian networks
subject: Bayesian networks
subject: Bayesian learning
subject: Graphical probability models
subject: Knowledge representation
subject: Random variable
subject: Probabilistic ontologies

description: Uncertainty is a fundamental and irreducible aspect of our knowledge about the world. Probability is the most well-understood and widely applied logic for computational scientific reasoning under uncertainty. As theory and practice advance, general-purpose languages are beginning to emerge for which the fundamental logical basis is probability. However, such languages have lacked a logical foundation that fully integrates classical first-order logic with probability theory. This paper presents such an integrated logical foundation. A formal specification is presented for multi-entity Bayesian networks (MEBN), a knowledge representation language based on directed graphical probability models. A proof is given that a probability distribution over interpretations of any consistent, finitely axiomatizable first-order theory can be defined using MEBN. A semantics based on random variables provides a logically coherent foundation for open world reasoning and a means of analyzing tradeoffs between accuracy and computation cost. Furthermore, the underlying Bayesian logic is inherently open, having the ability to absorb new facts about the world, incorporate them into existing theories, and/or modify theories in the light of evidence. Bayesian inference provides both a proof theory for combing prior knowledge with observations, and a learning theory for refining a representation as evidence accrues. The results of this paper provide a logical foundation for the rapidly evolving literature on first-order Bayesian knowledge representation, and point the way toward Bayesian languages suitable for general-purpose knowledge representation and computing. Because first-order Bayesian logic contains classical first-order logic as a deterministic subset, it is a natural candidate as a universal representation for integrating domain ontologies expressed in languages based on classical first-order logic or subsets thereof.
Raining fire upon modelling difficulties: PyRhO in the cloud
Creators: name: Evans, Benjamin
name: Nikolic, Konstantin
Publisher: name: F1000Research
Year: 2016

description: The work presented here aims to overcome common barriers to the adoption of modelling in neuroscience through the paradigm of “Modelling as a Service” (MaaS), whereby the necessary tools are ready and waiting as a webpage in the cloud. As a proof-of-concept of the MaaS paradigm for more accessible and reproducible modelling, we developed an online portal for optogenetics dubbed Prometheus (http://try.projectpyrho.org), based on PyRhO, our computational tools for fitting and simulating opsins.

We illustrate the advantages of such a system in terms of its interactivity, convenience, openness and scope for easily sharing and reproducing models and analyses. We hope that this approach will serve to demonstrate how MaaS can substantially increase the appeal and accessibility of modelling, especially for scientists with a limited computational background.
title: Individual Differences and Second Language Acquisition among Low-Income Preschoolers
Creators: name: Richard, Erin
Publisher: name: George Mason University
Year: 2007
Subjects: subject: Second language acquisition
subject: Individual differences
subject: Bilingualism
subject: Low-income
subject: Social-emotional development
subject: Hispanic

description: Second language acquisition has become a highly relevant, hotly debated topic in the United States. Of particular importance to early childhood researchers is how to most effectively educate young English language learners. Thus, a goal is to develop an understanding of the young language learner's school-related strengths and weaknesses. Existing literature has demonstrated associations between motivation, creativity, problem solving, language aptitude and bilingualism; however, the role of social-emotional skills in second language acquisition, particularly in young children, has been understudied. The study was an exploration of (1) an analysis of demographics and the role individual differences in cognitive/language skills and social-emotional skills play in English language acquisition and (2) the effects of first language proficiency on social-emotional development. Using a sample (n = 1,501) of diverse low-income preschoolers participating in the Miami School Readiness project, the present study aimed to illuminate the cognitive/language and social-emotional factors associated with successful second language acquisition during early childhood. Children were assessed in the areas of social-emotional skills and cognitive/language skills at the beginning of their preschool year and then social-emotional skills were assessed again at the end of the year. Finally, English proficiency was assessed a year later at the beginning of their kindergarten year. Multivariate analyses of variance were utilized to explicate the role of individual differences in social-emotional and cognitive/language skills among monolingual English, monolingual Spanish, and bilingual preschoolers. Findings demonstrated that Spanish-speaking preschoolers with higher levels of social-emotional and cognitive/language skills were more successful in obtaining English proficiency by kindergarten. Results indicated that demographic differences, cognitive and language skills, and social-emotional skills are all significantly related to success in second language acquisition. Further, after controlling for the effects of cognitive and language abilities and demographic differences, social-emotional skills maintained a significant association with the attainment of English-language proficiency. First language proficiency did not predict children's gains in social-emotional development. Findings suggest that social-emotional skills are a valuable resource for English language learners, specifically in this population of low-income, minority preschoolers.
title: Aglaonema :
title: Principes directeurs pour la conduite de l’examen de la distinction, de l’homogénéité et de la stabilité.
titleType: Subtitle
Creators: name: International Union For The Protection Of New Varieties Of Plants,
Publisher: name: International Union for the Protection of New Varieties of Plants,
Year: 0
Subjects: Plants
New Varieties of Plants
Chinese Evergreen

description: Ces principes directeurs (“principes directeurs d’examen”) visent à approfondir les principes énoncés dans l’introduction générale (document TG/1/3) et dans les documents TGP qui s’y rapportent afin de donner des indications concrètes détaillées pour l’harmonisation de l’examen de la distinction, de l’homogénéité et de la stabilité (DHS) et, en particulier, à identifier des caractères convenant à l’examen DHS et à la production de descriptions variétales harmonisées.
WBS: a computational pipeline for the treatment of whole-genome high-throughput bisulfite sequencing data
Creators: name: Bonnet, Eric
name: Yimin Shen
name: Benigni, Xavier
name: Touleimat, Nizar
name: Tost, Jörg
name: Jean-François Deleuze
name: Artiguenave, François
Publisher: name: F1000Research
Year: 2016

description: Here we describe WBS (Workflow Bisulfite), a computational pipeline set-up at the Centre National de Génotypage (CNG) for the analysis of bisulfite whole genome sequencing data. The pipeline is built around standard state-of-the-art tools for the treatment of bisulfite reads, and is using heavy parallelization to speed up the process.
Selected multi-criteria decision-making methods and their applications to product and system design
Creators: name: Wang, Zhiyuan
name: Nabavi, Seyed Reza
name: Rangaiah, Gade Pandu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Optimization has found numerous applications in engineering, particularly since 1960s. Many optimization applications in engineering have more than one objective (or performance criterion). Such applications require multi-objective (or multi-criteria) optimization (MOO or MCO). Spurred by this and development of techniques for handling multiple objectives, MOO has found many applications in engineering in the last two decades. Optimization of an application for more than one objective gives a set of optimal solutions (known as non-dominated or Pareto-optimal solutions), which are equally good in the sense that no objective can be further improved without resulting in deterioration of at least one other objective. MOO in engineering has mainly focused on development of a model for the application, formulation of the MOO problem and solution of the formulated problem to find Pareto-optimal solutions. However, for completion of MOO, one more step is required to choose one of these optimal solutions for implementation.
title: Letter: William J. Nicoson to Leonard Gordon, October 20, 1972
Creators: name: Nicoson, William J.
Publisher: name: George Mason University
Year: 2006
Subjects: subject: Office of New Communities Development
subject: U.S. Department of Housing and Urban Development (HUD)
subject: New Communities Handbook
subject: Monitoring and evaluation
subject: Amendments and waivers
subject: Defaults and remedies

description: Letter and Handbook Excerpt: photocopied signature, 11" x 8.5" (29.7 cm x 21.6 cm)
description: Letter from William Nicoson to Leonard Gordon, Director, Application Review Division, Office of New Communities Development, Department of Housing and Urban Development, October 20, 1972. William Nicoson encloses the third installment of the New Communities Handbook. This installment consists of Section 2-12 (Administration of Escrow and Security Arrangements), Section 2-13 (Monitoring and Evaluation), Section 2-14 (Amendments and Waivers), and Section 2-15 (Defaults and Remedies). Planned Community Archives Collection, 420.01.
NODES_Tincare_Z4_Applications of nanotechnology in the Smart Textile field in the biomedical sector
Creators: name: Uberti, Francesca
Publisher: name: Zenodo
Year: 2024
Subjects: Spoke 5 - Industry for Health and Silver Economy
TINCARE Project
Digital care innovation
ECS00000036
Smart Textile
nanotechnology
nanomaterials
biomaterials
Far Infrared Radiation (FIR)
bioceramic
patch
biomedical

description: The document is referred to the university thesis paper
A pan-genome approach and application to species with photosynthetic capabilities
Creators: name: Psomopoulos, Fotis E.
name: Kintsakis, Athanassios M.
name: Pericles A. Mitkas
Publisher: name: F1000Research
Year: 2016

description: The abundance of genome data being produced by the new sequencing techniques is providing the opportunity to investigate gene diversity at a new level. A pan-genome analysis can provide the framework for estimating the genomic diversity of the data set at hand and give insights towards the understanding of its observed characteristics. Currently, there exist several tools for pan-genome studies, mostly focused on prokaryote genomes and their respective attributes. Here we provide a systematic approach for constructing the groups inherently associated with a pan-genome analysis, using the complete proteome data of photosynthetic genomes as the driving case study. As opposed to similar studies, the presented method requires a complete information system (i.e. complete genomes) in order to produce meaningful results.

The method was applied to 95 genomes with photosynthetic capabilities, including cyanobacteria and green plants, as retrieved from UniProt and Plaza. Due to the significant computational requirements of the analysis, we utilized the Federated Cloud computing resources provided by the EGI infrastructure. The analysis ultimately produced 37,680 protein families, with a core genome comprising of 102 families. An investigation of the families’ distribution revealed two underlying but expected subsets, roughly corresponding to bacteria and eukaryotes. Finally, an automated functional annotation of the produced clusters, through assignment of PFAM domains to the participating protein sequences, allowed the identification of the key characteristics present in the core genome, as well as of selected multi-member families.
Supplementary document for In-depth optical characterisation of spectacle lenses for myopia progression management - 6374606.pdf
Creators: name: Arias, Augusto
name: Ohlendorf, Arne
name: Artal, Pablo
name: Wahl, Siegfried
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Ophthalmology and Optometry not elsewhere classified

description: Optical response of the instrument for testing the focusing properties of spectacle lenses
DNA shape features improve transcription factor binding site predictions in vivo
Creators: name: Mathelier, Anthony
name: Beibei Xin
name: Tsu-Pei Chiu
name: Yang, Lin
name: Rohs, Remo
name: Wyeth W. Wasserman
Publisher: name: F1000Research
Year: 2016

description: Interactions of transcription factors (TFs) with DNA comprise a complex interplay between base-specific amino acid contacts and readout of DNA structure. Recent studies highlighted the complementarity of DNA sequence and shape in modeling TF binding in vitro. Here, we provide a comprehensive evaluation of in vivo datasets to assess the predictive power obtained by augmenting various DNA sequence-based models of TF binding sites (TFBSs) with DNA shape features (helix twist, minor groove width, propeller twist, and roll). Results from 400 human ChIP-seq datasets for 76 TFs show that combining DNA shape features with position specific scoring matrix (PSSM) scores improves TFBS predictions. Improvement was also observed using TF flexible models and a machine-learning approach using a binary encoding of nucleotides in lieu of PSSMs. Incorporating DNA shape information is most beneficial for E2F and MADS-domain TF families. Our findings indicate that incorporating DNA sequence and shape information benefits the modeling of TF binding under complex in vivo conditions.

Mathelier et al., 2016, Cell Systems 3, 1–9
http://dx.doi.org/10.1016/j.cels.2016.07.001
Citizen Science MUSE: un approccio "social" alla scienza partecipata
Creators: name: Tabarelli de Fatis, K.
Publisher: name: Zenodo
Year: 2024
Subjects: Citizen Science Italia
Citizen Science

description: Nascita, gestione e finalità del gruppo FB Citizen Science MUSE. Un servizio al cittadino, ma al tempo stesso una unica opportunità per la ricerca.
Benchmarking the genome assemblies of two strains of Phytophthora ramorum
Creators: name: Mathu Malar C
name: Yuzon, Jennifer
name: Kasuga, Takao
name: Tripathy, Sucheta
Publisher: name: F1000Research
Year: 2016

description: The P.ramorum is a destructive plant pathogen, comes in the clade of oomycetes the genome has been already sequenced by BM Tyler et al, 2006, using Sanger sequencing. Our goal was to improve the genome assembly and fill the gaps using third generation sequencing technology.
EBI’s Metagenomics Pipeline: Moving towards cloud computing
Creators: name: Scheremetjew, Maxim
name: Denise, Hubert
name: Mitchell, Alex
name: Potter, Simon
name: Vianello, Dario
name: Finn, Robert
Publisher: name: F1000Research
Year: 2016

description: EBI metagenomics (EMG, https://www.ebi.ac.uk/metagenomics/) is a free to use hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets that are held within the European Nucleotide Archive (ENA). The pipeline is capable of providing analysis of extremely large datasets. For example, in 2015, we analysed the oceanographic dataset, Tara Oceans, which is the largest project to be processed by EMG to date, with ∼10 Tb of sequence data (∼29 billion sequences). The pipeline is also able to provide a high level of throughput: the number of analysed datasets within the resource has grown 10-fold in 2016 (as of 22 July 2016), and now comprises over 55,000 sequence runs, with over 200 billion sequences analysed in total. To address future analysis challenges, as metagenomic datasets grow ever larger, we have continued to refine the pipeline, with the aim of improving scalability and portability. As part of this process, we have begun to investigate ways to deploy the pipeline on computing clouds within the ELIXIR hub, as well as commercial clouds, such as Amazon or Google. Here, we give an overview of the analysis pipeline itself, outline a number of updates that we have made to ensure scalability and discuss the ongoing work to deploy it on the cloud.
Differential abundance testing on the strain level in metagenomics data
Creators: name: Fischer, Martina
name: Strauch, Benjamin
name: Renard, Bernhard Y.
Publisher: name: F1000Research
Year: 2016

description: This work presents the tool DiTASiC (Differential Taxa Abundance including Similiarity Correction), a comprehensive approach from read mapping to accurate differential abundance estimation of individual taxa down to strain level.
Lipoinformatics – machine learning approach to study lipid profiles
Creators: name: Neetika Nath
name: Klose, Christian
name: Gerl, Mathias
name: Surma, Michal A.
name: Simons, Kai
name: Kaderali, Lars
Publisher: name: F1000Research
Year: 2016

description: Lipids are the highly diverse class of molecules that are structural components of biological membranes and function as energy reserves and signalling molecules. Within the metabolomics field, shotgun lipidomics, providing absolute quantification and high reproducible is perfectly suited for bioinformatics approaches to guide the biotechnologies to improve human health. The objective of this study is to develop a robust bioinformatics approach to identify lipid diagnostic biomarkers in human plasma that support the classification of subjects with high or low body mass index (BMI). The second objective of this study is to compare different normalization strategies for lipoidomic data of 326 human subjects with high (BMI > 30) or low (BMI < 25) BMI. We applied a random forest method implemented in varSelRF (R package) executing 1000 bootstrap samples. This yielded the most important features distinguishing high and low BMI. The resulting set of discriminating lipids is selected by the backward stepwise elimination of features with smallest cross-validation error. In our analysis we found no significant differences between normalizations by total lipid content or lipid class. The models were equally good with accuracies close to 0.75 and sensitivities and specificity at 0.72 and 0.75, respectively. Our results suggest that if using random forest for the analysis, the focus of the analysis should be to determine the important features.
title: Paper: Jack A. Underhill, August 30 - September 7, 1981
Creators: name: Underhill, Jack A.
Publisher: name: George Mason University
Year: 2006
Subjects: subject: New communities
subject: Tel Aviv (Israel)
subject: Reston (Va.)
subject: Columbia (MD)
subject: Irvine (CA)
subject: Rancho Bernardo (CA)
subject: U.S. Department of Housing and Urban Development (HUD)

description: Paper: photocopy, 11" x 8.5" (29.7cm x 21.6cm)
description: Selected Review of the U.S. Management Experience Applicable to Planned Development in New and Renewing Communities, by Jack A. Underhill. Presented at the 5th Annual Conference of the International New Towns Association, August 30-September 7, 1981, Tel Aviv, Israel. This paper is designed to describe the selected experience and literature on the management of U.S. large-scale development. Methods used in Reston, Columbia, Irvine, and Rancho Bernardo were examined and site visits were made. Also included are some advanced management practices by the New Community Development Corporation at HUD. Bibliography is not included as stated in the introduction. Planned Community Archives Collection, 422.01.
FUCHS – FUll circRNA CHaracterization using RNA-Seq
Creators: name: Metge, Franziska
name: Czaja-Hasse, Lisa
name: Reinhardt, Richard
name: Dieterich, Christoph
Publisher: name: F1000Research
Year: 2016

description: FUCHS is a new pipeline designed to characterize the internal structure of circRNAs as well as summarize different characteristics of circRNAs.
Search, identification and quantification of CSR junctions in high-throughput sequencing data using CSReport
Creators: name: Francois Boyer
name: Hend Boutouil
name: Dalloul, Iman
name: Moreau, Jeanne
name: Aldigier, Jean-Claude
name: Cogné, Michel
name: Péron, Sophie
Publisher: name: F1000Research
Year: 2016

description: B cell development is of major importance to ensure an effective humoral adaptive response. At different stages of development, somatic recombination occurs  to either generate a diverse repertoire of B-cell receptors (V(D)J recombination) or to adapt immunoglobulin function (class-switch recombination or CSR). CSR is an intra-chromosomal recombination of the immunoglobulin heavy chain (IgH) locus: double-strand breaks are generated in so-called switch regions. Joining and repair of free  DNA ends  leads to the expression of a different immunoglobulin isotype. As recombination events imprint the cell's genome, sequencing is a key technique to trace them back and high-throughput technologies (HTS) seem very promising to better characterize CSR in large cell populations. Studies of CSR have, however, never been performed using HTS and the classical method is fastidious. To gain more in-depth knowledge of CSR junctions, we used a HTS-based experimental protocol and to achieve optimal benefit from the large generated datasets, we developed CSReport, a new computational tool which automatically identifies and summarizes sequences that support recombination between two switch regions of the IgH locus. It accurately assigns each segment and returns individual junction structures (blunt junction, micro-homologies or insertions) and break points. By realigning each segment, it ensures  high-quality structural information as it is crucial to shed light on the underlying repair mechanisms. Using BLAST+ and biopython module, the Python code of CSReport runs in about 30 minutes on a laptop computer for a typical 3-million read filtered library.
title: Speech: Oliver W. Hill, January 25, 1959
Creators: name: Hill, Oliver W.
Publisher: name: George Mason University
Year: 2007
Subjects: subject: National Association for the Advancement of Colored People (NAACP)
subject: Schools
subject: Segregation
subject: Desegregation
subject: Integration

description: Speech: 9 pgs, typescript, 8.5" x 11" (21.6 cm x 27.9 cm)
description: Script of a speech delivered on television by Oliver W. Hill, Chairman Legal Committee, Virginia State Conference of the NAACP. The speech addressed segregation and racial discrimination in Virginia's public schools. C. Harrison Mann, Jr. Collection 43.07
title: Expressions and Severity of Degenerative Joint Diseases: A Comparative Study of Joint Pathology in the Lambayeque Region, North Coast Peru
Creators: name: Yockey, Michelle L
Publisher: name: George Mason University
Year: 2019
Subjects: subject: Degenerative joint disease
subject: Lambayeque
subject: Eten
subject: Osteoarthritis
subject: Mórrope
subject: Severity

description: Degenerative joint disease (DJD) is one of the most common categories of pathological conditions found in archaeological and clinical medical contexts. DJD and is characterized by the progressive erosion of the articular cartilage of the synovial joint systems throughout the human body. Subsequent pathological joint alterations include osteophytosis, porosity, and eburnation. Bioarchaeologists have previously studied DJD linking wear-and-tear of joints to broad patterns and intensities of long-term habitual physical activities to shed light on lifeways, mobility, gender roles, and forms of economy. In the Lambayeque region of northern Peru past research has demonstrated while the biological effects of conquest were variable, DJD has not been studied in particular depth. This thesis analyzed data from 331 individuals from Mórrope and 148 from Eten –two Colonial era skeletal samples from Lambayeque. Here, the prevalence of multiple types of DJD as well as the severity of each pathological manifestation were examined between Mórrope and Eten using odds ratios and Mann-Whitney U tests. Results show that the manifestation and severity of each type are statistically different between the two samples in most comparisons, demonstrating that people in Mórrope sample were experiencing an elevated if not excessive level of physical activity than in Eten. These findings point to local differences in Colonial Peruvian economy as mediated by microenvironments, the possible role of early life nutritional stress on later predisposition to DJD, and the literal embodiment of multiple forms of social inequality among the native Muchik peoples of historic Peru.
Supplementary document for In-depth optical characterisation of spectacle lenses for myopia progression management - 6374606.pdf
Creators: name: Arias, Augusto
name: Ohlendorf, Arne
name: Artal, Pablo
name: Wahl, Siegfried
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Ophthalmology and Optometry not elsewhere classified

description: Optical response of the instrument for testing the focusing properties of spectacle lenses
title: Newspaper Column: The Leadership of Bob Dix
Creators: name: Nicoson, William J.
Publisher: name: The Connection
Year: 1999
Subjects: subject: Dix, Bob
subject: Fairfax County (VA) Board of Supervisors
subject: Reston (Va.)

description: PDF file distilled from original WordPerfect document. Original size 11" x 8.5".
description: Leadership is, first, about listening. Leaders advocate and make decisions beneficial to those they lead and supervise how their decisions are carried out. But first they must consult those they lead to understand what will benefit their communities. Fairfax County Supervisor Bob Dix has a strong record as a listening leader.
title: Hotel Appalachia: Poems
Creators: name: McDonald, Sarah
Publisher: name: George Mason University
Year: 2031
Subjects: subject: Poems
subject: Appalachia
subject: Poetry of witness
subject: Eco-justice poetry

description: This thesis has been embargoed. It will not be available until May 21, 2031 at the very earliest.
description: This thesis is a collection of poems.
title: A Value Model-Based Decision Framework for an Enterprise Data Architecture
Creators: name: Fitzpatrick, Kelly
Publisher: name: George Mason University
Year: 2022
Subjects: subject: Enterprise data architecture
subject: Big data architecture
subject: Model-based systems engineering
subject: Multi-objective decision analysis
subject: Decision analysis
subject: Value focused decision making

description: The objective of this paper is to improve an organization's decision-making process for developing an enterprise data architecture. Enterprise data architectures are complex systems with multiple users who have com- peting objectives for the system. When developing an enterprise data architecture, it can be hard to satisfy all the organizations goals and maintain a consistent development plan. The development team building the enterprise data architecture needs a robust decision- making process to help them determine the architecture design for the organization. The process needs to be able to quickly support questions that arise throughout the development of the system. The goal is to reduce the amount of time answering questions after a decision has been made on the architecture design and development plan. The solution presented is a framework that uses value focused decision analysis and model-based systems engineering to develop a parametric model which can be used to identify the best architecture design for the organization and support answering questions the organization's leadership might ask [1].
Madforwater – Wp7: Dissemination, Communication And Capacity Building – Task 7.5: Dissemination And Communication Activities – Subtask 7.5.3 - Media Activity And Technical Dissemination – Presentation On The 252Nd American Chemical Society National Meeting & Exposition, Aug 24Th, 2016
Creators: name: Li, Wentao
name: Li, Yan
name: Li, Aimin
Publisher: name: Zenodo
Year: 2016
Subjects: 252nd ACS conference

description: This ppt file was presented by Wentao Li, Nanjing University, on the 252nd American Chemical Society National Meeting & Exposition, Aug 24th, 2016.

Part of the presentation is related to the MADFORWATER Task 2.4 Industrial Wastewater Treatment, in which one research activity of the NJU partner was to develop a kind of online UV or fluorescence sensor for frequent online monitoring water quality.
description: 252 ACS conference
Reggae: A Parametric Tuner for PBJam, and a Visualization Tool for Red Giant Oscillation Spectra
Creators: name: Ong, J. M. Joel
name: Nielsen, Martin B.
name: Hatt, Emily J.
name: Davies, Guy R.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The upcoming second release of PBJam -- a software instrument for fitting normal modes ("peakbagging") -- supplements the simple power-spectrum model used in the first version to additionally constrain other features. Dipole ($\ell = 1$) modes, which had been excluded in the initial version of the tool, are now specifically included. The primary samples of the PLATO mission consist mainly of main-sequence and subgiant stars, so PBjam implements a single parameterisation of dipole mixed-mode frequencies that reduces to pure p-modes in the former, and is suitable for use with the latter, outside the red-giant "asymptotic" regime. In keeping with the overall philosophy of PBjam's design, PBjam 2 will specify prior distributions on these parameters empirically, through predetermined values found for existing samples of solar-like oscillators. While the red-giant asymptotic regime has been extensively characterised observationally, the nonasymptotic construction for subgiants here has not, requiring us to construct this prior sample ourselves. To assist in this task, we built a tool -- Reggae -- to manually fine-tune and fit the dipole-mode model, and check the quality of both our initial guesses and fitted solutions. We have found it very helpful both for these tuning and visualisation tasks, and also as a didactic aid to understanding the dipole mixed-mode parameters. Moreover, no other tools currently exist for performing these tasks in the nonasymptotic parameterisation considered here. As such, we release Reggae publicly in advance of this update to PBjam, as we believe the community will benefit from access to such a visualisation tool. This will also assist future users of PBjam in devising ad-hoc prior constraints on the mixed-mode parameters, should they wish to perform mode identification for anomalous stars.
description: published in JOSS. Software repository at https://github.com/darthoctopus/reggae/
Seeing the trees through the Forest: sequence-based homo- and heteromeric protein-protein interaction sites prediction using Random Forest
Creators: name: Qingzhen Hou
name: Geest, Paul De
name: Vranken, Wim F.
name: Heringa, Jaap
name: K. Anton Feenstra
Publisher: name: F1000Research
Year: 2016

description: To fulfil biological functions, proteins bind to their partners via specific amino acids. Investigation of the properties and sequential information of these residues is important to reveal the mechanisms of protein-protein interactions and protein functions. These properties, derived from the interacting amino acids at sequence level, are usually exploited as features for machine learning methods to predict protein interacting positions.

In this work, we include two novel features (backbone flexibility and Sequence Specificity) predicted from sequences for protein interface prediction and evaluate the importance of different features using Random Forest. Results: We observe that there is no single sequence feature which enables to pinpoint interacting sites. However, combination of different properties does help the interface prediction. After selecting and integrating multiple features, we developed a Random Forest predictor which is able to distinguish interface and other residues with AUC of ROC plot at 0.72 in our homomeric test-set, which is better than other sequence-based methods. Moreover, when applied to identify interfaces of an independent heteromeric dataset, our method performs slightly better than the best sequence-only predictor.

Thus, our predictor trained on homodimeric proteins can not only predict homodimeric interfaces, but is also able to locate interface residues in the heterodimers which suggested that our predictor captures the common properties of both homodimer and heterodimer interfaces.
Higher order methylation features for clustering and prediction in epigenomic studies
Creators: name: Kapourani, Andreas C.
name: Sanguinetti, Guido
Publisher: name: F1000Research
Year: 2016

description: DNA methylation is an intensely studied epigenetic mark, yet its functional role is incompletely understood. Attempts to quantitatively associate average methylation to expression yield poor correlations outside of the well-understood methylation-switch at CpG-islands. We propose a probabilistic model to extract higher-order features associated with the methylation profile across a defined region. These features quantitate precisely notions of shape of methylation profiles, capturing spatial correlations in methylation patterns. Using these features, we construct a powerful machine learning predictor of gene expression, significantly improving upon predictive power of average methylation. Furthermore, we use these features to cluster promoter-proximal regions, showing that five major patterns of methylation occur across cell lines, and provide evidence that methylation beyond CGIs may be related to transcriptional regulation. Results support previous reports of a functional role of spatial correlations in methylation patterns, and provide a mean to quantitate such features for downstream analyses.

Availability and Implementation: https://github.com/andreaskapou/BPRMeth
title: Is the Embodied Pregnancy Still Relevant? Uncertainty, Embodiment and Technology in 21st-century Pregnancy
Creators: name: Imperatore, Catherine
Publisher: name: George Mason University
Year: 2015
Subjects: subject: Risk
subject: Pregnant
subject: Embodiment
subject: Uncertainty
subject: Gender
subject: Technology

description: Mothering begins at conception and is considered essential to womanhood, while the physical challenges and joys of pregnancy are perceived as natural and inevitable. How well this fits with a woman's lived experience of conception and pregnancy changes her relationship to uncertainty and risk, technical and embodied expertise, and reflexivity and resistance during pregnancy. Despite the focus in sociological research on technology that separates the fetus from the mother, I found from my research strong contraindications against a totalizing disembodiment and a continuing attention paid to older uncertainties that have characterized pregnancy historically. Embodiment and technology exist alongside each other in modern pregnancy, and mutually reinforce the expectation of maternal-fetal bonding and the need for responsibly managing uncertainty. Pregnancy as a lived physical state continues to be central to the notion of mothering and womanhood.
title: Does guideline adherence improve patient outcome in outpatient settings?
Creators: name: Ghimire, Prithvi
Publisher: name: George Mason University
Year: 2013

description: The CATS published in MARS (Mason Archival Repository Service; mars.gmu.edu) are submitted by students after they have been reviewed, revised, and approved by their instructor. All CATs are current at the time of original publication but will not be updated over time.
description: Purpose: Heart Failure (HF) is a chronic disease associated with substantial morbidity, mortality and healthcare expenditure. According to a study done by Their et al. (2008), the two main reasons that lead to less than optimal outcome, increased cost and higher utilization in patient with chronic diseases like HF are patient medication non-adherence and provider variation in delivery of guideline based care. The question then arises; will the patient have a better prognosis if the providers adhere to standard guidelines in managing HF? The purpose of this CAT is to review the relationship between adherence to outpatient Heart Failure pharmacological guidelines and clinical outcome.
title: Brochure: Reston Land Corporation, "Reston Market Profile: Business," Janurary 1989
Creators: name: Reston Land Corporation
Publisher: name: George Mason University
Year: 2006
Subjects: subject: Reston (Va.)

description: Textual: Brochure, Folded card stock; 34" x 11" (86.4 cm x 27.9 cm)
description: Brochure produced by Reston Land Corporation from January of 1989. This brochure details the business environment and growth in Reston, Virginia. A map of the business centers in Reston as well as a brief description of each center is included in this brochure. Some business centers that are mentioned include Reston Data Center, Reston International Center, The Summit at Reston, Campus Commons, and Sunrise Technology Park. There is also a brief article on Reston Town Center. Planned Community Archives Collection, 460.53
title: Teachers' Discoveries of Their Cultural Realms: Untangling the Web of Cultural Identity
Creators: name: Ndura, Elavie
Publisher: name: Lawrence Erlbaum Assoc
Year: 2004
Subjects: subject: Cultural identities
subject: Education

description: Please contact publisher for further reprinting or re-use.
description: Educators need to explore and understand their own cultural identities before they can comprehend and appreciate their students* cultural backgrounds. In this article, the author presents the findings from a qualitative study that investigated in-service teachers1 awareness of and characterization of their culture. She also discusses the importance of affording educators opportunities to reflect on and make the connection between culture and their worldview. The author concludes by recommending useful and practical next steps once teachers have a better understanding of their cultural identities.
MAGNETO - augMented functionAl analysis throuGh proteiN intEraction neTwOrk
Creators: name: Giudice, Girolamo
name: Sánchez-Cabo, Fátima
name: Torroja, Carlos
name: Pezzi, Enrique Lara
Publisher: name: F1000Research
Year: 2016

description: High-throughput data involves enrichment analysis in order to identify overrepresented processes and pathways. The major limitation of this approach is that the biological information contained in the molecular interaction network underlying the list of proteins of interest is not taken into account. Since proteins do not act in isolation, their biological functions are influenced by their interacting proteins. For this reason, we developed MAGNETO, a web server that extracts the maximum-likelihood tissue subnetwork (MLTSN). The MLTSN is highly representative of the interaction partners of the proteins in the starting list and of the annotations that appear in the whole tissue. The nodes of the MLTSN represent the testing set for the enrichment analysis against databases such as Gene Ontology, Kegg, Reactome DrugBank. Our approach permits to detect those biological properties that do not emerge with the standard enrichment analysis and permits to identify the potential target proteins for different drugs.
title: Child, Family, and School Factors Associated with Gifted Educational Placement and Services for Low-Income, Ethnically Diverse Children in Miami: Which Students are Breaking the Barriers?
Creators: name: Haag, Allison R
Publisher: name: George Mason University
Year: 2016
Subjects: subject: Gifted
subject: Placement
subject: Miami

description: It is important to identify gifted students early to provide them with the appropriate instruction they need to succeed, and yet access to gifted education programs is unequal. Under-representation of students of color in gifted programs is well known, however, most of the research has focused on Black students, with less attention paid to Latino/a gifted identification. Little is known about the low-income, ethnically diverse children who do actually break the barriers and receive gifted educational services. This project used data from the large-scale (n = 39,213) Miami School Readiness Project to assess a variety of child, family, and school factors (i.e., gender, ethnicity, school readiness, skipping a grade or being retained, early achievement, test scores, ELL status, poverty, and immigration status, type of preschool program attended) associated with receiving gifted educational services in elementary school. Overall, 14.2% of students were identified as gifted at some point during elementary school, with most (67%) identified by second grade. About 30% of students identified as gifted did not appear to take any self-contained gifted courses. T-Test, Chi-Square, and multivariate logistic regression analyses revealed that White/Other and Hispanic/Latino students were significantly more likely to get identified as gifted than Black students, even controlling for poverty status, and child academic performance. Other variables uniquely associated with increased likelihood of gifted placement included attendance at a public school pre-K program, child school readiness at age 4, and early academic performance in school. Quality early childhood education programs and enhanced school readiness help young children in poverty get identified for gifted programs, yet access is still unequal across ethnic groups.
title: Barriers and Motivations to Participation in Physical Activity and Exercise: The Case of an Immigrant Chinese Woman in the United States
Creators: name: Li, Xiaoli
Publisher: name: George Mason University
Year: 2019
Subjects: subject: Physical activity and exercise
subject: Barriers
subject: Health
subject: Immigrant Chinese women
subject: Motivations
subject: Culture

description: Empirical evidence has demonstrated that lack of physical activity causes health problems (Muntner et al., 2005; Bauman et al., 2012; Manaf, 2013). Socioeconomic factors (e.g., age, sex, time, education) may impact participation in physical activity and exercise (Riordan, 1986; Chen, 1998; Sternfeld, Ainsworth, & Qusenberry, 1999; Muntner et al., 2005; Sit, Kerr, & Wong, 2008; Bauman et al., 2012). Further, cultural and social factors may play a role in participation (Hoeman, Ku, & Ohl, 1996; Fancott, 2001; Yu, Liaw, & Barnd, 2004; Sit, Kerr & Wong, 2008; Yan & Cardinal, 2013). Yan and Cardinal (2013) found that traditional Chinese health beliefs are vastly different from western society, which may have an effect on Chinese women’ participation in physical activity. The purpose of this study was to examine the barriers and motivations to participation in physical activity and exercise among immigrant Chinese women in the United States. A qualitative approach was used to collect detailed explanatory data from a single research participant’s experiences. Findings from open ended responses suggest a growing awareness of the importance of sport and physical fitness; the modification of long-held cultural health, physical activity, and exercise perceptions; and time as a key constraint to activity. The implication of the study findings for helping Chinese immigrant women engage in physical activity and exercise is addressed.
Supplementary document for The Age-dependent Neurovascular Coupling Characteristics in Children and Adults during General Anesthesia - 6375077.pdf
Creators: name: LIANG, ZHENHU
name: Wang, Xin
name: Yu, Zhenyang
name: Tong, Yunjie
name: Li, Xiaoli
name: Ma, Yaqun
name: Guo, Hang
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplemental Document