cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Bounds for the tracking error of first-order online optimization methods
Creators: name: Madden, Liam
name: Becker, Stephen
name: Dall'Anese, Emiliano
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: This paper investigates online algorithms for smooth time-varying optimization problems, focusing first on methods with constant step-size, momentum, and extrapolation-length. Assuming strong convexity, precise results for the tracking iterate error (the limit supremum of the norm of the difference between the optimal solution and the iterates) for online gradient descent are derived. The paper then considers a general first-order framework, where a universal lower bound on the tracking iterate error is established. Furthermore, a method using "long-steps" is proposed and shown to achieve the lower bound up to a fixed constant. This method is then compared with online gradient descent for specific examples. Finally, the paper analyzes the effect of regularization when the cost is not strongly convex. With regularization, it is possible to achieve a non-regret bound. The paper ends by testing the accelerated and regularized methods on synthetic time-varying least-squares and logistic regression problems, respectively.
description: Main changes: added discussion on regret literature in section 2 and added discussion on lower bounds in section 4
title: Female Serial Killers through a Sociological Lens
Creators: name: Keya, Danielle Zohra
Publisher: name: George Mason University
Year: 2013
Subjects: subject: Sociology/sociological
subject: Robert K. Merton
subject: Female serial killers
subject: Emile Durkheim
subject: Anomie theory
subject: Strain theory

description: It has been estimated that 12 to 15 percent of serial killers are female. Documented cases of serial murder committed by women date back thousands of years and have continued into the 21st century. The majority of studies conducted on and about serial killers have focused primarily on their male counterparts, due to the fact that men make up 85 to 88 percent of documented cases of serial murder. Many of the studies conducted have focused predominately on the mental, psychological, and physiological factors that may have caused or contributed to why they killed. This study examines ten of history’s most notorious female serial killers using the theories of sociologists Emile Durkheim and Robert K. Merton. The principles of Durkheim’s Anomie Theory and Merton’s Strain Theory have been selected as tools of analysis in helping to understand how a set of thirteen specific sociological factors may have contributed to causing these particular women to become serial killers.
8th International Phosphorus Workshop - IPW8 : Phosphorus 2020 - Challenges for Synthesis, Agriculture, and Ecosystems (Program and Book of Abstracts)
Creators: name: -
Publisher: name: Science Campus Rostock Phosphorus Research
Year: 2016

description: Phosphorus (P) is of vital importance for all life on Earth. It is a major component in animal feed and plant fertilizers but, when present in excess, also a disruptive element in freshwater and marine water bodies. Today, limitations in global mineral P resources have strengthened the demand for efficient alternative P sources and for P-recycling technologies. The International Phosphorus Workshops (IPWs) are well-known for presenting the latest results of research into agricultural and environmental P cycles as well as new methods of P analysis. Recently, environmental problems arising from P surplus but also the implications for food production posed by P deficiencies have made fair and sustainable P distribution a societal challenge. Therefore, at the IPW8, P governance will be an important focus. In addition, given the research interests of the hosting Leibniz-ScienceCampus Phosphorus Research Rostock, the role of P in catalytic reactions and technical applications will debut as a workshop topic. Other topics, addressing subjects ranging from the atomic/molecular to the societal, are guaranteed to stimulate interesting and productive transdisciplinary discussions during the workshop.

The themes of IPW8 are:
• Phosphorus cycles and fluxes in the environment
• Sufficiency and efficiency of phosphorus utilization
• Phosphorus recycling: technologies and product applications
• Syntheses of and with phosphorus-containing compounds
• The development of advanced phosphorus analysis methods
• From knowledge to action: phosphorus-related issues in politics and society
• Phosphorus characterization and use efficiency
Fast and effective techniques for T-count reduction via spider nest identities
Creators: name: de Beaudrap, Niel
name: Bian, Xiaoning
name: Wang, Quanlong
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In fault-tolerant quantum computing systems, realising (approximately) universal quantum computation is usually described in terms of realising Clifford+T operations, which is to say a circuit of CNOT, Hadamard, and $π/2$-phase rotations, together with T operations ($π/4$-phase rotations). For many error correcting codes, fault-tolerant realisations of Clifford operations are significantly less resource-intensive than those of T gates, which motivates finding ways to realise the same transformation involving T-count (the number of T gates involved) which is as low as possible. Investigations into this problem [arXiv:1206.0758, 1303.2042, 1308.4134, 1601.07363, 1606.01904, 1701.00140] has led to observations that this problem is closely related to NP-hard tensor decomposition problems [arXiv:1712.01557] and is tantamount to the difficult problem of decoding exponentially long Reed-Muller codes [arXiv:1601.07363]. This problem then presents itself as one for which must be content in practise with approximate optimisation, in which one develops an array of tactics to be deployed through some pragmatic strategy. In this vein, we describe techniques to reduce the T-count, based on the effective application of "spider nest identities": easily recognised products of parity-phase operations which are equivalent to the identity operation. We demonstrate the effectiveness of such techniques by obtaining improvements in the T-counts of a number of circuits, in run-times which are typically less than the time required to make a fresh cup of coffee.
description: Corrections to bibliography. Accepted to TQC 2020. arXiv admin note: text overlap with arXiv:1911.09039
Spiral Compression and the Resolution of the Riemann Hypothesis
Creators: name: Gerrans, Nicholas
Publisher: name: Zenodo
Year: 2025

description: This document presents a mathematically rigorous, recursively self-stabilizing proof that Spiral Compression resolves the Riemann Hypothesis unconditionally.The core method constructs a fixed-point spectral operator combining third derivatives of the completed Riemann zeta function, demonstrating collapse of all nontrivial zeros to the critical line via harmonic contraction symmetry.The proof includes vertical and horizontal decay bounds, contour-based exclusion of off-line zeros, and a spectral operator interpretation matching GUE statistics.

License Notice© 2025 Nicholas Gerrans. All rights reserved.This work may be read, shared, and cited for academic and non-commercial purposes.Any commercial use, implementation, or derivative work requires explicit written permission from the author.Patent rights and all other intellectual property rights are expressly reserved.Contact: nickgerrans0@gmail.com
Using Collaborative Filtering to Recommend Champions in League of Legends
Creators: name: Do, Tiffany D.
name: Yu, Dylan S.
name: Anwer, Salman
name: Wang, Seong Ioi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: League of Legends (LoL), one of the most widely played computer games in the world, has over 140 playable characters known as champions that have highly varying play styles. However, there is not much work on providing champion recommendations to a player in LoL. In this paper, we propose that a recommendation system based on a collaborative filtering approach using singular value decomposition provides champion recommendations that players enjoy. We discuss the implementation behind our recommendation system and also evaluate the practicality of our system using a preliminary user study. Our results indicate that players significantly preferred recommendations from our system over random recommendations.
description: 4 pages, in proceedings of 2020 IEEE Conference on Games, COG 2020
A STUDY ON MARKETING TECHNIQUES TO INCREASE VIEWERSHIP IN NEWS MEDIA WITH REFERENCE TO PUTHIYA THALAIMURAI
Creators: name: THANGATAMIL P
Publisher: name: Zenodo
Year: 2025

description: In an era of digital transformation, news media organizations face the challenge of attracting and retaining viewership in a competitive and fragmented information landscape. This study explores various marketing techniques employed by news media to increase audience engagement and expand their reach. Through an in-depth analysis of digital marketing strategies, social media engagement, content personalization, and audience analytics, this research examines how news organizations optimize their visibility and appeal to diverse demographics. Additionally, the study investigates the role of search engine optimization (SEO), influencer collaborations, and interactive storytelling in enhancing viewer retention. The findings provide valuable insights into effective marketing strategies that can help news media outlets maintain relevance, foster audience loyalty, and sustain long-term growth. This research contributes to the broader understanding of media marketing and offers practical recommendations for news organizations seeking to improve their outreach and impact
SpinalNet: Deep Neural Network with Gradual Input
Creators: name: Kabir, H M Dipu
name: Abdar, Moloud
name: Jalali, Seyed Mohammad Jafar
name: Khosravi, Abbas
name: Atiya, Amir F
name: Nahavandi, Saeid
name: Srinivasan, Dipti
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Neural and Evolutionary Computing (cs.NE)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Deep neural networks (DNNs) have achieved the state of the art performance in numerous fields. However, DNNs need high computation times, and people always expect better performance in a lower computation. Therefore, we study the human somatosensory system and design a neural network (SpinalNet) to achieve higher accuracy with fewer computations. Hidden layers in traditional NNs receive inputs in the previous layer, apply activation function, and then transfer the outcomes to the next layer. In the proposed SpinalNet, each layer is split into three splits: 1) input split, 2) intermediate split, and 3) output split. Input split of each layer receives a part of the inputs. The intermediate split of each layer receives outputs of the intermediate split of the previous layer and outputs of the input split of the current layer. The number of incoming weights becomes significantly lower than traditional DNNs. The SpinalNet can also be used as the fully connected or classification layer of DNN and supports both traditional learning and transfer learning. We observe significant error reductions with lower computational costs in most of the DNNs. Traditional learning on the VGG-5 network with SpinalNet classification layers provided the state-of-the-art (SOTA) performance on QMNIST, Kuzushiji-MNIST, EMNIST (Letters, Digits, and Balanced) datasets. Traditional learning with ImageNet pre-trained initial weights and SpinalNet classification layers provided the SOTA performance on STL-10, Fruits 360, Bird225, and Caltech-101 datasets. The scripts of the proposed SpinalNet are available at the following link: https://github.com/dipuk0506/SpinalNet
About host plants and bark camouflage of Mustha spinosula (Lefebvre, 1831) (Hemiptera: Heteroptera: Pentatomidae)
Creators: name: KIYAK, SUAT
Publisher: name: Zenodo
Year: 2024

description: Fast flight and emission of pungent and foul scent fluid by meta thoracic scent gland, and secretion of excretory fluid are the dominant self-defensive means in species of Heteroptera. In addition, camouflage is also seen as a protective defense in some heteroptera     species such as Mustha spinosula (Lefebvre, 1831).

In this study, on the camouflage behavior and protective coloration (Camouflage) of Mustha spinosula (Lefebvre, 1831) is focused.
title: Spatiotemporal Analysis of Information Diffusion in Online Social Networks
Creators: name: (:Unkn) Unknown
Publisher: name: George Mason University
Year: 2019

description: Understanding the dynamics of information diffusion in social networks contributes to a wide range of social studies. Among social networks, online social networks have drawn growing interest due to their richness, availability, and popularity nowadays. Such networks, which are often embedded in geographical space, have enabled information to spread at a relatively lower cost and higher speed and reach, compared to traditional ways of communication. This dissertation aims at exploring the spatiotemporal patterns of information diffusion in discussion about real-world events in online social networks, with special interest in geographical characteristics and representation. Specifically, this dissertation presents a methodology for studying and analyzing information diffusion in geographic space between sources and sinks of information. By doing so it highlights the information diffusion mechanisms that are in play at the intersection of the cyber and geographical environment, which can provide additional insights for higher-level decisions making. This dissertation also addresses the widely existing demand for traceable individual point information in data streams with geographical information, by designing an improved density-based stream clustering method. The method used not only meets the demand for finding cluster shapes, maintaining individual point information, and articulating point-cluster relationships, but also serves as the basis for spatiotemporal analysis and discovery of patterns hidden in the data.
General measurements with limited resources and their application to quantum unambiguous state discrimination
Creators: name: Reitzner, Daniel
name: Bouda, Jan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this report, we present a framework for implementing an arbitrary $n$-outcome generalized quantum measurement (POVM) on an $m$-qubit register as a sequence of two-outcome measurements requiring only single ancillary qubit. Our procedure offers a particular construction for the two-outcome partial measurements which can be composed into a full implementation of the measurement on any gate architecture. This implementation in general requires classical feedback; we present specific cases when this is not the case. We apply this framework on the unambiguous state discrimination and analyze possible strategies. In the simplest case, it gives the same construction as is known, if we opt for performing conclusiveness measurement first. However, it also offers possibility of performing measurement for one of the state outcomes first, leaving conclusiveness measurement for later. This shows flexibility of presented framework and opens possibilities for further optimization. We present discussion also on biased qubit case as well as general case of unambiguous quantum state discrimination in higher dimension.
description: 27 pages, 8 figures
title: Side-Channel Analysis of Block Ciphers using CERG-GMU Interface on SASEBO-GII
Creators: name: Prabhakaran, Abirami
Publisher: name: George Mason University
Year: 2011
Subjects: subject: Side - Channel
subject: CERG - GMU Interface
subject: SASEBO
subject: Correlation
subject: Block Ciphers

description: Field Programmable Gate Array(FPGAs) are used as a common platform for almost any type of design due to an increase in their logic capacity and various features such as DSP blocks, embedded processors, etc. A cryptographic algorithm implemented on FPGAs leaks data sensitive information through side channels such as power consumption, time taken for computations, temperature, etc. Many side-channel cryptanalysis methods exist to attack the physical implementation of cryptographic algorithms, thus rendering the algorithms insecure. One branch of side-channel attack is Di erential Power Analysis (DPA); where the attack is based on information gained from the power consumption of the cryptosystem. Recently, the Research Center for Information (RCIS) of AIST and Tohoku University developed the Side Channel Attack Standard Evaluation Board (SASEBO) as a common platform for evaluating side channel attacks. There are two FPGAs on a SASEBO board, a cryptographic FPGA - where the algorithm is implemented and a control FPGA - which communicates the data between the software (SASEBO Waveform Acquisition) and the cryptographic FPGA in an e cient manner. Sasebo Waveform Acquisition interacts with the hardware for processing data and collecting power traces for a DPA attack. The current interface between the control and cryptographic FPGA on the SASEBO-GII board is used to implement a block cipher and a hash algorithm. However, as the standard hardware interface proposed by the Cryptographic Engineering Research Group (CERG) of George Mason University has a di erent protocol for block ciphers and hash functions, the algorithms could not be directly integrated with the SASEBO-GII interface. This thesis focuses on designing a new interface, with modi cations made to the original SASEBO waveform acquisition software and the hardware on the control FPGA to interact with the protocol of CERG-GMU. The data communication between the software and hardware with implementations of lightweight block cipher was tested successfully on the modi ed 8-bit interface. Also, results from the DPA attack on AES on both the original SASEBO-GII interface and the modi ed interface are discussed.
Who was Francesco Landini’s antagonist in his defense of Ockham?
Creators: name: Abramov-Van Rijk, Elena
Publisher: name: Pavia University Press - Edizioni dell'Università degli Studi di Pavia
Year: 2015

description: L’interesse di Francesco Landini per la filosofia di Gugliemo di Ockham è testimoniata dal suo poema in esametri latini in difesa della Logica di Ockham. Il poema Vix bene dimidium – una dura invettiva contro un non meglio specificato detrattore della filosofia di Ockham – è fatto normalmente risalire alla fine degli anni Settanta, inizio degli anni Ottanta del Trecento. Di conseguenza il bersaglio della critica landiniana dovrebbe essere rintracciato fra i colleghi di Landini attivi in quel periodo. Ancora, il poema contiene un allusione al suddetto bersaglio, che venne notato inizialmente da Antonio Lanza. In questo contributo viene proposta una nuova identificazione del «ydiota rudissimus», secondo la definizione di Landini stesso. Questa ipotesi permette di risolvere numerose questioni problematiche, ad esempio perché il compositore abbia inviato il poema ad Antonio Pievano da Vado e perché una copia del testo sia sopravvissuta ad Avignone.
description: Philomusica on-line, Vol 14, N° 1 (2015)
Strong asymptotic freeness for independent uniform variables on compact groups associated to non-trivial representations
Creators: name: Bordenave, Charles
name: Collins, Benoit
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: Operator Algebras (math.OA)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Asymptotic freeness of independent Haar distributed unitary matrices was discovered by Voiculescu. Many refinements have been obtained, including strong asymptotic freeness of random unitaries and strong asymptotic freeness of random permutations acting on the orthogonal of the Perron-Frobenius eigenvector. In this paper, we consider a new matrix unitary model appearing naturally from representation theory of compact groups. We fix a non-trivial signature $ρ$, i.e. two finite sequences of non-increasing natural numbers, and for $n$ large enough, consider the irreducible representation $V_{n,ρ}$ of $\mathbb{U}_n$ associated to the signature $ρ$. We consider the quotient $\mathbb{U}_{n,ρ}$ of $\mathbb{U}_n$ viewed as a matrix subgroup of $\mathbb{U}(V_{n,ρ})$, and show that strong asymptotic freeness holds in this generalized context when drawing independent copies of the Haar measure. We also obtain the orthogonal variant of this result. Thanks to classical results in representation theory, this result is closely related to strong asymptotic freeness for tensors, which we establish as a preliminary. In order to achieve this result, we need to develop four new tools, each of independent theoretical interest: (i) a centered Weingarten calculus and uniform estimates thereof, (ii) a systematic and uniform comparison of Gaussian moments and unitary moments of matrices, (iii) a generalized and simplified operator valued non-backtracking theory in a general $C^*$-algebra, and finally, (iv) combinatorics of tensor moment matrices.
description: 53 pages, added an appendix on an effective linearization trick for unitary operators
A PASSAGEWAY TO FREEDOM: THE NUANCED HISTORY OF ANTEBELLUM RACIAL HYBRIDITY AS A THREAT TO WHITE SUPREMACY AND THE AMERICAN RACIAL BINARY
Creators: name: Cummings, Cayla
Publisher: name: Zenodo
Year: 2022
Subjects: racial hybridity
passing
race
whiteness
slavery
Antebellum

description: The history of the practice of passing for white and racial hybridity in the United States dates to the inception of this country and the beginning of American chattel slavery. Within this institution, the social construct of race and the structure of whiteness was created and facilitated by the systemic oppression of enslaved Africans. Their descendants were often the byproduct of the sexual violence against Black and mixed-race women by their white slave masters. Many slaves who were able to escape from bondage sometimes manipulated their racial hybridity to their advantage and passed for white, but within the Antebellum South, the practice of passing was only a temporary tool, and only passed through whiteness to gain their freedom and humanity. Additionally, the general historiographic focus of passing has previously only centered on the racial existentialism that mixed-race Black people experienced and neglected the variation and nuance in their understanding, acceptance, and rejection of their racial hybridity and proximity to whiteness. The practice of passing for white by mixed-race Black people in the Antebellum South was a severe antithetical threat to whiteness and white supremacy and shook the foundations of whiteness as a social structure by calling into question the validity of the establishment of Blackness as its ontological foil. This thesis examines the history of Antebellum racial hybridity and passing by highlighting the often hypocritical and malleable nature of the social structure of whiteness that was regularly exploited by mixed-race Black people, intentionally and unintentionally.
Accessible information of a general quantum Gaussian ensemble
Creators: name: Holevo, A. S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Accessible information, which is a basic quantity in quantum information theory, is computed for a general quantum Gaussian ensemble under certain "threshold condition". It is shown that the maximizing measurement is Gaussian, constituting a far-reaching generalization of the optical heterodyning. This substantially extends the previous result concerning the gauge-invariant case, even for a single bosonic mode.
description: 18 pages, 1 figure, notations improved. In the single mode case a new ex[licit form of the threshold condition is given
On generalized Steinberg theory for type AIII
Creators: name: Fresse, Lucas
name: Nishiyama, Kyo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Representation Theory (math.RT)
subject: Algebraic Geometry (math.AG)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 14M15 (primary), 17B08, 53C35, 05A15 (secondary)

description: Given a symmetric pair $(G,K)=(\mathrm{GL}_{p+q}(\mathbb{C}),\mathrm{GL}_{p}(\mathbb{C})\times \mathrm{GL}_{q}(\mathbb{C}))$ of type AIII, we consider the diagonal action of $K$ on the double flag variety $\mathfrak{X}=\mathrm{Grass}(\mathbb{C}^{p+q},r)\times K/B_K$ whose first factor is a Grassmann variety for $G$ and whose second factor is a full flag variety of $K$. There is a finite number of orbits for this action, and our first result is a description of these orbits: parametrization, dimensions, closure relations, and cover relations. Specifically, the orbits are parametrized by certain pairs of partial permutations.
 Each orbit in $\mathfrak{X}$ gives rise to a conormal bundle. As in the references [5] and [6], by using the moment map associated to the action, we define a so-called symmetrized Steinberg map, respectively an exotic Steinberg map, which assigns to each such conormal bundle (thus to each orbit) a nilpotent orbit in the Lie algebra of $K$, respectively in the Cartan complement of that Lie algebra. Our main result is an explicit description of these Steinberg maps in terms of combinatorial algorithms on partial permutations, extending the classical Robinson--Schensted procedure on permutations. This is a thorough generalization of the results in [5], where we supposed $p=q=r$ and considered orbits of special forms.
description: 35 pages. Minor revision. To appear in Algebraic Combinatorics
title: Report: Reston Community Association Governance Committee, "The Advantages and Disadvantages of the Incorporation of Reston as a Town," September 1, 1978
Creators: name: Reston Community Association
Publisher: name: George Mason University
Year: 2007
Subjects: subject: Reston (Va.)

description: Textual: Report, copy; 11” x 8.5” (27.9 cm x 21.6 cm)
description: Report by Reston Community Association Governance Committee entitled "The Advantages and Disadvantages of the Incorporation of Reston as a Town" dated September 1, 1978. This report discusses the drawbacks and potential benefits of incorporating Reston, Virginia. The report is divided into four sections with an introduction, sections on advantages and disadvantages of incorporation, and a section with estimated revenues for the proposed town. Planned Community Archives Collection, 534.01
Residue sums of Dickson polynomials over finite fields
Creators: name: Brazelton, Thomas
name: Harrington, Joshua
name: Litman, Matthew
name: Wong, Tony W. H.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11B39, 11C08

description: Given a polynomial with integral coefficients, one can inquire about the possible residues it can take in its image modulo a prime $p$. The sum over the distinct residues can sometimes be computed independent of the prime $p$; for example, Gauss showed that the sum over quadratic residues vanishes modulo a prime. In this paper we provide a closed form for the sum over distinct residues in the image of Dickson polynomials of arbitrary degree over finite fields of odd characteristic, and prove a complete characterization of the size of the image set. Our result provides the first non-trivial classification of such a sum for a family of polynomials of unbounded degree.
description: Major revisions: we now treat the more general case of Dickson polynomials over finite fields of odd characteristic instead of Lucas polynomials modulo a prime. 19 pages, comments welcome!
Malliavin calculus for marked binomial processes: portfolio optimisation in the trinomial model and compound Poisson approximation
Creators: name: Halconruy, Hélène
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: G.3
subject: 60G55, 60H07, 60B10

description: In this paper we develop a stochastic analysis for marked binomial processes, that can be viewed as the discrete analogues of marked Poisson processes. The starting point is the statement of a chaotic expansion for square-integrable (marked binomial) functionals, prior to the elaboration of a Markov-Malliavin structure within this framework. We take advantage of the new formalism to deal with two main applications. First, we revisit the Chen-Stein method for the (compound) Poisson approximation which we perform in the paradigm of the built Markov-Malliavin structure, before studying in the second one the problem of portfolio optimisation in the trinomial model.
description: 52 pages
title: State Business Incentives, Job Creation, and Entrepreneurship
Creators: name: (:Unkn) Unknown
Publisher: name: George Mason University
Year: 2020

description: Whether state business incentives spur job creation and investments in local economies remains an important but understudied policy issue. Analyzing the most comprehensive database on incentives and taxes covering 45 industries in 46 cities in 33 states between 1990 and 2015, this dissertation conducts a program evaluation using econometrics. The first chapter examines the employment and earnings effects of state hiring credit across business cycles. The second chapter investigates the employment effect of state business incentives by enterprise size and age: small vs. large vs. young. The third chapter explores policy impact on firm dynamics (births, deaths, expansions, and contractions).
Supplementary document for 3D hologram from surface-emitting lasers - 6392708.pdf
Creators: name: Hirose, Kazuyoshi
name: Watanabe, Koyo
name: Kamei, Hiroki
name: SUGIYAMA, TAKAHIRO
name: Takiguchi, Yu
name: Kurosaka, Yoshitaka
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Nanophotonics

description: Document
SIYOSIY NUTQLARNING LINGVOMADANIY TADQIQI
Creators: name: To'ramirzayev, Bexzod
Publisher: name: Zenodo
Year: 2024

description: Ushbu maqolada siyosiy nutqlarni lingvistik va madaniy jihatdan tadqiq qilish yoritilgan bo‘lib, unda siyosiy nutqlarning milliy madaniyat, qadriyatlar va madaniy kodlar bilan bog‘liqligi o‘rganilgan. Siyosiy nutqlar milliy va xalqaro darajadagi g‘oya va maqsadlarni ommaga yetkazishda kuchli vosita sanaladi. Shuningdek, ular milliy identifikatsiya va ijtimoiy birdamlikni shakllantirishda ham muhim ahamiyatga ega. Maqola davomida madaniy kodlarning siyosiy kommunikatsiyadagi o‘rni, turli madaniy qatlamlarning ahamiyati hamda ular orqali siyosiy maqsadlarga erishish yo‘llari chuqur tahlil qilingan.
A Survey of Knowledge Tracing: Models, Variants, and Applications
Creators: name: Shen, Shuanghong
name: Liu, Qi
name: Huang, Zhenya
name: Zheng, Yonghe
name: Yin, Minghao
name: Wang, Minjuan
name: Chen, Enhong
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computers and Society (cs.CY)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In recent years, a substantial number of studies have concentrated on this rapidly growing field, significantly contributing to its advancements. In this survey, we will conduct a thorough investigation of these progressions. Firstly, we present three types of fundamental KT models with distinct technical routes. Subsequently, we review extensive variants of the fundamental KT models that consider more stringent learning assumptions. Moreover, the development of KT cannot be separated from its applications, thereby we present typical KT applications in various scenarios. To facilitate the work of researchers and practitioners in this field, we have developed two open-source algorithm libraries: EduData that enables the download and preprocessing of KT-related datasets, and EduKTM that provides an extensible and unified implementation of existing mainstream KT models. Finally, we discuss potential directions for future research in this rapidly growing field. We hope that the current survey will assist both researchers and practitioners in fostering the development of KT, thereby benefiting a broader range of students.
description: 22 pages
title: Power and Patronage in Hrotsvit of Gandersheim’s Primordia Coenebii Gandeshemensis
Creators: name: Kidwell, Jessica
Publisher: name: George Mason University
Year: 2018
Subjects: subject: Hrotsvit
subject: Gandersheim
subject: Primordia Coenebii Gandeshemensis
subject: 10th century
subject: Germany
subject: Otto I

description: Hrotsvit of Gandersheim, a Saxon canoness of Gandersheim Abbey, lived and wrote in the tenth century, and composed a number of vitae, plays, and poems, as well as two histories. The Primordia Coenebii Gandeshemensis was the second of her histories, written c. 970. This text has meaningful political and economic contexts, and it was directed at an elite, cultured audience, external to the monastery. This has been largely ignored or denied by the prevailing historiography. This intervention explores the nature and importance of Hrotsvit’s ambitions as both a political actor and a stylist.
Noise induced new quasi-period and periods switching
Creators: name: Wu, Yuxuan
name: Jiao, Yuxing
name: Zhao, Yanzhen
name: Jia, Haojun
name: Xu, Liufang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: We employ a typical genetic circuit model to explore how noise can influence the dynamic structure. With the increase of a key interactive parameter, the model will deterministically go through two bifurcations and three dynamic structure regions. We find that a new quasi-periodic component, which is not allowed by deterministic dynamics, will be generated by noise inducing in the first two regions, and this quasi-period will be more and more stable along with the noise increasing. Especially, in the second region, the quasi-period will compete with a stable limit cycle and perform a new transient rhythm. Furthermore, we ascertain the entropy production rate (EPR) and the heat dissipation rate (HDR), and discover a minimal value with elucidating theoretically. In the end, we unveil the mechanism of the quasi-periods forming, and show a practical biological instance. We expect that this work is helpful to solve some biological or ecological problems, such as genetic origin of periodical cicadas and population dynamics with fluctuation.
The insider problem in the trinomial model: a discrete-time jump process approach
Creators: name: Halconruy, Hélène
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: Mathematical Finance (q-fin.MF)
subject: Portfolio Management (q-fin.PM)
subject: FOS: Mathematics
subject: FOS: Economics and business
subject: 60J74, 60G55, 91G20, 60H30, 60H07, 91G10, 94A17

description: In an incomplete market underpinned by the trinomial model, we consider two investors : an ordinary agent whose decisions are driven by public information and an insider who possesses from the beginning a surplus of information encoded through a random variable for which he or she knows the outcome. Through the definition of an auxiliary model based on a marked binomial process, we handle the trinomial model as a volatility one, and use the stochastic analysis and Malliavin calculus toolboxes available in that context. In particular, we connect the information drift, the drift to eliminate in order to preserve the martingale property within an initial enlargement of filtration in terms of the Malliavin derivative. We solve explicitly the agent and the insider expected logarithmic utility maximisation problems and provide a hedging formula for replicable claims. We identify the insider expected additional utility with the Shannon entropy of the extra information, and examine then the existence of arbitrage opportunities for the insider.
description: 38 pages. Comments are welecome!
Online Stochastic Gradient Methods Under Sub-Weibull Noise and the Polyak-Łojasiewicz Condition
Creators: name: Kim, Seunghyun
name: Madden, Liam
name: Dall'Anese, Emiliano
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper focuses on the online gradient and proximal-gradient methods with stochastic gradient errors. In particular, we examine the performance of the online gradient descent method when the cost satisfies the Polyak-Łojasiewicz (PL) inequality. We provide bounds in expectation and in high probability (that hold iteration-wise), with the latter derived by leveraging a sub-Weibull model for the errors affecting the gradient. The convergence results show that the instantaneous regret converges linearly up to an error that depends on the variability of the problem and the statistics of the sub-Weibull gradient error. Similar convergence results are then provided for the online proximal-gradient method, under the assumption that the composite cost satisfies the proximal-PL condition. In the case of static costs, we provide new bounds for the regret incurred by these methods when the gradient errors are modeled as sub-Weibull random variables. Illustrative simulations are provided to corroborate the technical findings.
The positive mass theorem and distance estimates in the spin setting
Creators: name: Cecchini, Simone
name: Zeidler, Rudolf
Publisher: name: arXiv
Year: 2021
Subjects: subject: Differential Geometry (math.DG)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Let $\mathcal{E}$ be an asymptotically Euclidean end in an otherwise arbitrary complete and connected Riemannian spin manifold $(M,g)$. We show that if $\mathcal{E}$ has negative ADM-mass, then there exists a constant $R > 0$, depending only on $\mathcal{E}$, such that $M$ must become incomplete or have a point of negative scalar curvature in the $R$-neighborhood around $\mathcal{E}$ in $M$. This gives a quantitative answer to Schoen and Yau's question on the positive mass theorem with arbitrary ends for spin manifolds. Similar results have recently been obtained by Lesourd, Unger and Yau without the spin condition in dimensions $\leq 7$ assuming Schwarzschild asymptotics on the end $\mathcal{E}$. We also derive explicit quantitative distance estimates in case the scalar curvature is uniformly positive in some region of the chosen end $\mathcal{E}$. Here we obtain refined constants reminiscent of Gromov's metric inequalities with scalar curvature.
description: 20 pages; v2: update discussion in introduction
Supplementary document for 3D hologram from surface-emitting lasers - 6392708.pdf
Creators: name: Hirose, Kazuyoshi
name: Watanabe, Koyo
name: Kamei, Hiroki
name: SUGIYAMA, TAKAHIRO
name: Takiguchi, Yu
name: Kurosaka, Yoshitaka
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Nanophotonics

description: Document
title: Radicalization Discourse in the United States: Analysis of the July 15, 2015 U.S. House of Representative Hearing on the Rise of Radicalization
Creators: name: Maynard, Joshua
Publisher: name: George Mason University
Year: 2016
Subjects: subject: Discourse analysis
subject: Radicalization
subject: Countering violent extremism
subject: Hard power
subject: De-radicalization

description: This thesis examines the ongoing discourse of the term ‘radicalization’ and the impact this discourse has in the discussion and implementation of various counter-radicalization initiatives in the US. The thesis will highlight how the current radicalization discourse has prevented the implementation of an effective de-radicalization initiative as an applicable measure in countering the threat of radicalization in the US. The author has used the critical discourse analysis methodology to review the July 15, 2015, US House of Representative Committee on Homeland Security hearing titled “The Rise of Radicalization: Is the US Government Failing to Counter International and Domestic Terrorism?” in order to denote which counter-radicalization initiatives are being promulgated as the best methods for countering the domestic radicalization threat.
Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape
Creators: name: Nazari, Farnaz
name: Yan, Wei
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: A building self-shading shape impacts substantially on the amount of direct sunlight received by the building and contributes significantly to building operational energy use, in addition to other major contributing variables, such as materials and window-to-wall ratios. Deep Learning has the potential to assist designers and engineers by efficiently predicting building energy performance. This paper assesses the applicability of two different neural networks structures, Dense Neural Network (DNN) and Convolutional Neural Network (CNN), for predicting building operational energy use with respect to building shape. The comparison between the two neural networks shows that the DNN model surpasses the CNN model in performance, simplicity, and computation time. However, image-based CNN has the benefit of utilizing architectural graphics that facilitates design communication.
description: The original paper was published in Building Simulation 2021 Conference Proceedings, IBPSA. Errata: the MSE values in the paper have been corrected to be unit free
title: Freak Show
Creators: name: Hall, Linda
Publisher: name: George Mason University
Year: 2022
Subjects: subject: Twins
subject: Abandonment
subject: Homelessness
subject: Coma
subject: Drunk driving

description: This thesis has been embargoed for 10 years. It will not be available until April 2031 at the earliest.
description: This is a work of fiction. Fifteen-year-old identical twin girls, Jess and Tess Gardner, and their father drift from house to house and from town to town. Since the disappearance of their mother four years ago, he can’t seem to hold a job. He’s in a downward spiral and taking them down with him. Jess has had enough, given him too many chances, and things have gone from bad, to worse, to dire. She devises a plan to save her and her sister from their carnival-like existence but her world is turned upside down when she learns the whole story behind his downfall. Can she forgive him now that she knows the truth? Is he the only one hiding something?
Subsystem-Based Control with Modularity for Strict-Feedback Form Nonlinear Systems
Creators: name: Koivumäki, Janne
name: Humaloja, Jukka-Pekka
name: Paunonen, Lassi
name: Zhu, Wen-Hong
name: Mattila, Jouni
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 93C10, 93C40, (93C15)

description: This study proposes an adaptive subsystem-based control (SBC) for systematic and straightforward nonlinear~control of nth-order strict-feedback form (SFF) systems.~By decomposing the SFF system to subsystems, a generic~term (namely stability connector) can be created to address dynamic interactions between the subsystems. This 1) enables modular control design with global asymptotic stability, 2) such that both the control design and the stability analysis can be performed locally at a subsystem level, 3) while avoiding an excessive growth of the control design complexity when the system order n increases. The latter property makes the method suitable especially for high-dimensional systems. We also design a smooth projection function for addressing system parametric uncertainties. Numerical simulations demonstrate the efficiency of the method.
description: 14 pages, 6 figures
title: Report: "George Mason College: For all the People?" July 1971 [C. Harrison Mann, Jr. personal annotated copy]
Creators: name: Rights, Virginia State Advisory Committee To The United States Commission On Civil
name: Schlitt, Jacob
Publisher: name: George Mason University
Year: 2007
Subjects: subject: Civil rights
subject: George Mason College

description: Letter: 1 pg, typescript signed, 11" x 8.5" (27.9 cm x 21.6 cm); Report: 42 pgs, typescript, 11" x 8.5" (27.9 cm x 21.6 cm)
description: Report by the Virginia State Advisory Committee to the United States Commission on Civil Rights entitled "George Mason College: For all the People?" Report contains handwritten notes by C. Harrison Mann, Jr. and a cover letter from Commission Director Jacob Schlitt to George Mason College Chancellor Lorin A. Thompson regarding an advance copy of the report. C. Harrison Mann, Jr. Collection 20.01
Local versions of sum-of-norms clustering
Creators: name: Dunlap, Alexander
name: Mourrat, Jean-Christophe
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Statistics Theory (math.ST)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Sum-of-norms clustering is a convex optimization problem whose solution can be used for the clustering of multivariate data. We propose and study a localized version of this method, and show in particular that it can separate arbitrarily close balls in the stochastic ball model. More precisely, we prove a quantitative bound on the error incurred in the clustering of disjoint connected sets. Our bound is expressed in terms of the number of datapoints and the localization length of the functional.
description: 20 pages, 2 figures, accepted version, to appear in SIAM J. Math. Data Sci
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
Creators: name: Crespi, Leonardo
name: Loiacono, Daniele
name: Chiti, Arturo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Chest X-Ray (CXR) is one of the most common diagnostic techniques used in everyday clinical practice all around the world. We hereby present a work which intends to investigate and analyse the use of Deep Learning (DL) techniques to extract information from such images and allow to classify them, trying to keep our methodology as general as possible and possibly also usable in a real world scenario without much effort, in the future. To move in this direction, we trained several beta-Variational Autoencoder (beta-VAE) models on the CheXpert dataset, one of the largest publicly available collection of labeled CXR images; from these models, latent features have been extracted and used to train other Machine Learning models, able to classify the original images from the features extracted by the beta-VAE. Lastly, tree-based models have been combined together in ensemblings to improve the results without the necessity of further training or models engineering. Expecting some drop in pure performance with the respect to state of the art classification specific models, we obtained encouraging results, which show the viability of our approach and the usability of the high level features extracted by the autoencoders for classification tasks.
description: 8 pages, 5 figures