cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Equivariant $\mathrm{C}^*$-correspondences and compact quantum group actions on Pimsner algebras
Creators: name: Bhattacharjee, Suvrajit
name: Joardar, Soumalya
Publisher: name: arXiv
Year: 2022
Subjects: subject: Operator Algebras (math.OA)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics

description: Let $G$ be a compact quantum group. We show that given a $G$-equivariant $\mathrm{C}^*$-correspondence $E$, the Pimsner algebra $\mathcal{O}_E$ can be naturally made into a $G$-$\mathrm{C}^*$-algebra. We also provide sufficient conditions under which it is guaranteed that a $G$-action on the Pimsner algebra $\mathcal{O}_E$ arises in this way, in a suitable precise sense. When $G$ is of Kac type, a $\mathrm{KMS}$ state on the Pimsner algebra, arising from a quasi-free dynamics, is $G$-equivariant if and only if the tracial state obtained from restricting it to the coefficient algebra is $G$-equivariant, under a natural condition. We apply these results to the situation when the $\mathrm{C}^*$-correspondence is obtained from a finite, directed graph and draw various conclusions on the quantum automorphism groups of such graphs, both in the sense of Banica and Bichon.
description: Revised version following the referee's suggestions. To appear in Canadian Journal of Mathematics
Signatures of a gearwheel quantum spin liquid in a spin-$\frac{1}{2}$ pyrochlore molybdate Heisenberg antiferromagnet
Creators: name: Iqbal, Yasir
name: Müller, Tobias
name: Riedl, Kira
name: Reuther, Johannes
name: Rachel, Stephan
name: Valentí, Roser
name: Gingras, Michel J. P.
name: Thomale, Ronny
name: Jeschke, Harald O.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We theoretically investigate the low-temperature phase of the recently synthesized Lu$_2$Mo$_2$O$_5$N$_2$ material, an extraordinarily rare realization of a $S=1/2$ three-dimensional pyrochlore Heisenberg antiferromagnet in which Mo$^{5+}$ are the $S=1/2$ magnetic species. Despite a Curie-Weiss temperature ($Θ_{\rm CW}$) of $-121(1)$ K, experiments have found no signature of magnetic ordering $or$ spin freezing down to $T^*\approx0.5$ K. Using density functional theory, we find that the compound is well described by a Heisenberg model with exchange parameters up to third nearest neighbors. The analysis of this model via the pseudofermion functional renormalization group method reveals paramagnetic behavior down to a temperature of at least $T=|Θ_{\rm CW}|/100$, in agreement with the experimental findings hinting at a possible three-dimensional quantum spin liquid. The spin susceptibility profile in reciprocal space shows momentum-dependent features forming a "gearwheel" pattern, characterizing what may be viewed as a molten version of a chiral noncoplanar incommensurate spiral order under the action of quantum fluctuations. Our calculated reciprocal space susceptibility maps provide benchmarks for future neutron scattering experiments on single crystals of Lu$_2$Mo$_2$O$_5$N$_2$.
description: Published version. Main paper (6 pages, 3 figures) + Supplemental Material (4 pages, 3 figures, 1 table)
A toolkit for the collection of thrombosis-related data elements in COVID-19 clinical studies
Creators: name: Wood, William A.
name: Skeith, Leslie
name: Le Gal, Grégoire
name: Barnes, Geoffrey D.
name: Lee, Adrienne
name: Middeldorp, Saskia
name: Langlois, Nicole J.
name: Siegal, Deborah M.
Publisher: name: American Society of Hematology
Year: 2020

description: Thrombosis has emerged as an important complication of coronavirus disease 2019 (COVID-19), particularly among individuals with severe illness. However, the precise incidence of thrombotic events remains uncertain due to differences in study design, patient populations, outcome ascertainment, event definitions, and reporting. In an effort to overcome some of these challenges and promote standardized data collection and reporting in clinical studies, the American Society of Hematology Research Collaborative COVID-19 Non-Malignant Hematology Task Force, in collaboration with the International Society on Thrombosis and Haemostasis COVID-19 Task Force, developed sets of data elements in the following domains: venous thromboembolism, myocardial infarction, stroke/transient ischemic attack, peripheral arterial thrombosis, bleeding, laboratory investigations, and antithrombotic therapy. Data elements in each of these domains were developed with 3 levels of detail to facilitate their incorporation into studies evaluating a range of interventions and outcomes. Previously published data elements were included where possible. The use of standardized variables in a range of clinical studies can enhance the quality of data collection, create efficiency, enhance comparison of results across studies, and facilitate future pooling of data sets.
Dipole-laser coupling delay in two-color (RABBITT) photoionization of polar molecules
Creators: name: Benda, Jakub
name: Mašín, Zdeněk
Publisher: name: arXiv
Year: 2022
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We study theoretically the reconstruction of attosecond beating by interference of two-photon transitions (RABBITT) in strongly polar molecules. The time-dependent energy of a polar molecule in the infrared (IR) field gives rise to an additional dipole-laser coupling contribution to the sideband delay. In a time-independent picture this translates to the initial state becoming a linear combination of IR-dressed states. We extend the recently developed time-independent molecular R-matrix method to include the additional interfering ionization pathways arising from the IR-dressed initial state and obtain very good agreement with a reference non-perturbative time-dependent RABBITT simulation. We discuss the asymptotic behaviour of such ionization amplitudes and recover a known approximate asymptotic formula for the dipole-laser coupling delay derived earlier in the context of attosecond streaking. At low photon energies the dipole-laser coupling contributes significantly even in an unoriented molecular sample. Finally, we show that in photodetachment of polar singly charged negative ions the sideband delay is asymptotically proportional only to Wigner delay.
title: Numerical calculation of manoeuvring coefficients for modelling the effect of submarine motion near the surface
Creators: name: Polis, CD
Publisher: name: University of Tasmania
Year: 2018

description: Given the significant amount of time modern submarines conduct operations near the surface of the ocean, there is significant value in the capacity to predict the behaviour of a submarine operating in the near surface region. During most near surface operations, the primary forces involved are due to transient ocean waves and are statistical in nature. Yet there is also a contribution from the motion of the submarine near the surface, which has received less attention from researchers.
The aim of this thesis is to determine the nature of the changes that occur in the manoeuvring forces acting on a submarine due to its own motion when operating near the ocean surface. Currently, coefficient-based manoeuvring models are utilised to predict deeply submerged submarine motion. However, research has shown that these coefficients change when near the surface due to the proximity and form of that surface.
Utilising numerical computation with validation against experimental results, the sources of coefficient variation from their deeply submerged values in the near surface region are identified. The parameters that this variation depends upon are assessed, and the coefficients of motion that vary as a result are identified.
Two novel methodologies based upon the use of numerical planar motion are proposed by which the variation found in the near surface region can be measured across the operating envelope and the changes found for a standard submarine form are thus determined.
The results of these tests show that, of the coefficients assessed, those that have the most significant impact upon submarine motions in the near surface region are:
• Coefficient of normal force as a function of square of the axial velocity;
• Coefficient of normal force as a function of velocity in the z-axis;
• Coefficient of normal force as a function of acceleration in the z-axis; and
• Coefficient of pitch moment as a function of velocity in the z-axis.
Note: the z-axis is vertical in the submarine’s frame of reference.
It was also found that the amplitude of a numerical planar motion can be reduced to a minor fraction of a submarine’s diameter without loss of accuracy. More significantly, motions of such scale were found to render the coefficients approximately constant over the period of oscillation. This allows the utilisation of this method for the numerical estimate of linear acceleration and velocity coefficients in the near surface region, which are not obtainable via conventional methods.
The ability to estimate these coefficients — along with those obtainable through extending these methods to simulating pure pitch — will enable substantially improved modelling of submarine motions in the near surface region, enabling better design choices and operational control.
Strong effects of fast collisions between pulsed optical beams in a linear medium with weak cubic loss
Creators: name: Peleg, Avner
name: Huynh, Toan T.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We investigate fast collisions between pulsed optical beams in a linear medium with weak cubic loss that arises due to nondegenerate two-photon absorption. We introduce a perturbation method with two small parameters and use it to obtain general formulas for the collision-induced changes in the pulsed-beam's shape and amplitude. Moreover, we use the method to design and characterize collision setups that lead to strong localized and nonlocalized intensity reduction effects. The values of the collision-induced changes in the pulsed-beam's shape in both setups are larger by one to two orders of magnitude compared with the values obtained in previous studies of fast two-pulse collisions. Furthermore, we show that for nonlocalized setups, the graph of the collision-induced amplitude shift vs the difference between the first-order dispersion coefficients for the two pulsed-beams has two local minima. This finding represents the first observation of a deviation of the graph from the common funnel shape that was obtained in all previous studies of fast two-pulse collisions in the presence of weak nonlinear loss. The predictions of our perturbation theory are in good agreement with results of numerical simulations with the perturbed linear propagation model, despite the strong collision-induced effects. Our results can be useful for multisequence optical communication links and for reshaping of pulsed optical beams.
description: 44 pages, 12 figures. The paper contains a brief description of a generalization of the perturbation approach that was introduced in arXiv:2102.07438 for fast collisions between time independent optical beams. The paper is devoted to an investigation of strong effects in fast collisions between pulsed optical beams, whereas in arXiv:2102.07438, only weak collision-induced effects for time-independent beams were considered.
Racial Capitalism Within Public Health—How Occupational Settings Drive COVID-19 Disparities
Creators: name: Vasudevan, Pavithra
name: Robinson, Whitney R
name: McClure, Elizabeth S
name: Bailey, Zinzi
name: Patel, Snehal
Publisher: name: Oxford University Press (OUP)
Year: 2020

description: Epidemiology of the US coronavirus disease 2019 (COVID-19) outbreak focuses on individuals' biology and behaviors, despite centrality of occupational environments in the viral spread. This demonstrates collusion between epidemiology and racial capitalism because it obscures structural influences, absolving industries of responsibility for worker safety. In an empirical example, we analyzed economic implications of race-based metrics widely used in occupational epidemiology. In the United States, White adults have better average lung function and worse hearing than Black adults. Impaired lung function and impaired hearing are both criteria for workers' compensation claims, which are ultimately paid by industry. Compensation for respiratory injury is determined using a race-specific algorithm. For hearing, there is no race adjustment. Selective use of race-specific algorithms for workers' compensation reduces industries' liability for worker health, illustrating racial capitalism operating within public health. Widespread and unexamined belief in inherent physiological inferiority of Black Americans perpetuates systems that limit industry payouts for workplace injuries. We see a parallel in the epidemiology of COVID-19 disparities. We tell stories of industries implicated in the outbreak and review how they exemplify racial capitalism. We call on public health professionals to critically evaluate who is served and neglected by data analysis and to center structural determinants of health in etiological evaluation.
Nearly Commuting Matrices
Creators: name: Kadyrsizova, Zhibek
Publisher: name: arXiv
Year: 2017
Subjects: subject: Commutative Algebra (math.AC)
subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: We prove that the algebraic set of pairs of matrices with a diagonal commutator over a field of positive prime characteristic, its irreducible components, and their intersection are $F$-pure when the size of matrices is equal to 3. Furthermore, we show that this algebraic set is reduced and the intersection of its irreducible components is irreducible in any characteristic for pairs of matrices of any size. In addition, we discuss various conjectures on the singularities of these algebraic sets and the system of parameters on the corresponding coordinate rings.
description: 30 pages, improved the exposition and some of the proofs, to appear in the Journal of Algebra
title: Making and breaking the screen : a relational ontology of screen forms
Creators: name: Dyer, LP
Publisher: name: University of Tasmania
Year: 2018

description: When introducing the screen as a subject of analysis, what is most often noted first is its ubiquity in our environment. The screen is a very successful thing, it enters our lives in many ways and performs a variety of different functions. Although screens have a long history in interactions between humans and their environments, a comparatively recent shift in the screen’s materiality toward the technological has made it a more prominent part of our daily lives. The screen has become an interesting point of discussion – it can be used theoretically as a device that links discourse about human-technology interactions with discussions of human spatiality; as a connection between representational and experiential frameworks; as a device to question the nature of the ‘real’. Screens often draw debates about the role of technology and representation as environmental conditions. But when it comes to defining what a screen is, the material screen itself – the object that takes up space – is not often found to be important.
Screens have been analysed across a variety of phenomenological and semiotic frameworks. Each of these analyses finds different, often contradictory qualities and impacts for the screen. The impetus of this thesis is to position these qualities and impacts within the structures that give rise to them. In short, this thesis describes a relational ontology of the screen that places particular emphasis on material interaction and the structures of perception. I will begin this introduction with a brief survey of key studies of the screen, looking at the approaches taken and roles defined within them. I will then introduce the main problems and aims of this thesis and outline the methodology and methods applied in this research. The introduction will close with a summary of the content of the three chapters and a brief discussion of implications.
title: Hyperspectral classification optimization using multiobjective evolutionary algorithm
Creators: name: Sumoro, C
Publisher: name: University of Tasmania
Year: 2018

description: The development of hyperspectral imagers provides an avenue to exploit it as a bio-optical taxonomic identification tool. In order to classify the species based on their spectral characteristic, spectral similarity measures are usually applied. Five spectral similarity measures are examined: Spectral Correlation Angle (SCA) for calculating the angle of spectral cross-correlation vectors, Spectral Angle Measure (SAM) for the angle between two spectral vectors, Spectral Information Divergence (SID)for measuring the difference in the probability distribution of two spectra, and hybrid measures: SID-SAM and Normalized Spectral Similarity Measure (nSSM). However, currently there is no specific threshold value for each spectral similarity measure that defines positive classification of one specific species. The conventional method by applying either a fixed or an adaptive threshold value is found to be unreliable. The focus of this thesis is to explore the characteristics of different spectral similarity measures and to utilize the MOEA to find the best value for the threshold value. In addition, the research also put forward the parameter test to find the optimum parameter. A machine learning algorithm, SVM is used to compare the performance of MOEA.
Non-Dominated Sorting Genetic Algorithm (NSGA-II) is a variant of MOEA that is recognized as robust variant, and is therefore selected for this research. In the comparative study of 6 type of seagrass and 4 terrestrial plants, the performance of the discriminating threshold is found to be statistically superior to those from adaptive threshold method. The parameters of NSGA-II were quantified and found that crossover, mutation rate, and different initial chromosome seeds to be significant. The regression models were obtained using this information. The best parameters’ values were then used to optimize NSGA-II. The optimized NSGA-II performs on-par with the SVM. The obtained results combined with Probability of Spectral Discrimination (PSD) and Power of Spectral Discrimination (PWSD) were used to suggest preferred similarity measures for specific target seagrass.
American Society for Transplantation and Cellular Therapy Pharmacy Special Interest Group Position Statement on Pharmacy Practice Management and Clinical Management for COVID-19 in Hematopoietic Cell Transplantation and Cellular Therapy Patients in the United States
Creators: name: Culos, Katie
name: Roddy, Julianna
name: Alexander, Maurice
name: Shaw, Ryan
name: Shigle, Terri Lynn
name: Mahmoudjafari, Zahra
name: Timlin, Colleen
Publisher: name: Elsevier
Year: 2020

description: The coronavirus-19 (COVID-19) pandemic poses a significant risk to patients undergoing hematopoietic stem cell transplantation (HCT) or cellular therapy. The American Society for Transplantation and Cellular Therapy Pharmacy Special Interest Group Steering Committee aims to provide pharmacy practice management recommendations for how to transition clinical HCT or cellular therapy pharmacy services using telemedicine capabilities in the inpatient and outpatient settings to maintain an equivalent level of clinical practice while minimizing viral spread in a high-risk, immunocompromised population. In addition, the Steering Committee offers clinical management recommendations for COVID-19 in HCT and cellular therapy recipients based on the rapidly developing literature. As the therapeutic and supportive care interventions for COVID-19 expand, collaboration with clinical pharmacy providers is critical to ensure safe administration in HCT recipients. Attention to drug-drug interactions (DDIs) and toxicity, particularly QTc prolongation, warrants close cardiac monitoring and potential cessation of concomitant QTc-prolonging agents. Expanded indications for hydroxychloroquine and tocilizumab have already caused stress on the usual supply chain. Detailed prescribing algorithms, decision pathways, and specific patient population stock may be necessary. The COVID-19 pandemic has challenged all members of the healthcare team, and we must continue to remain vigilant in providing pharmacy clinical services to one of the most high-risk patient populations while also remaining committed to providing compassionate and safe care for patients undergoing HCT and cellular therapies.
Mathematical Model with Autoregressive Process for Electrocardiogram Signals
Creators: name: Evaristo, Ronaldo M
name: Batista, Antonio M
name: Viana, Ricardo L
name: Iarosz, Kelly C
name: Szezech, José D
name: de Godoy, Moacir F
Publisher: name: arXiv
Year: 2017
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: The cardiovascular system is composed of the heart, blood and blood vessels. Regarding the heart, cardiac conditions are determined by the electrocardiogram, that is a noninvasive medical procedure. In this work, we propose autoregressive process in a mathematical model based on coupled differential equations in order to model electrocardiogram signals. Our results are compared with experimental tachogram by means of Poincaré plot and dentrended fluctuation analysis. We verify that the results from the model with autoregressive process show good agreement with experimental measures from tachogram generated by electrical activity of the heartbeat. With the tachogram we build the electrocardiogram by means of coupled differential equations.
Bijection between trees in Stanley character formula and factorizations of a cycle
Creators: name: Trokowska, Karolina
name: Śniady, Piotr
Publisher: name: arXiv
Year: 2022
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05A19 (Primary) 05C05 (Secondary)

description: Stanley and Féray gave a formula for the irreducible character of the symmetric group related to a multi-rectangular Young diagram. This formula shows that the character is a polynomial in the multi-rectangular coordinates and gives an explicit combinatorial interpretation for its coefficients in terms of counting certain decorated maps (i.e., graphs drawn on surfaces). In the current paper we concentrate on the coefficients of the top-degree monomials in the Stanley character polynomial, which corresponds to counting certain decorated plane trees. We give an explicit bijection between such trees and minimal factorizations of a cycle.
description: 64 pages
Fourier 1-norm and quantum speed-up
Creators: name: Grillo, S. A.
name: Marquezino, F. L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: Computational Complexity (cs.CC)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: 81P68, 68Q12

description: Understanding quantum speed-up over classical computing is fundamental for the development of efficient quantum algorithms. In this paper, we study such problem within the framework of the Quantum Query Model, which represents the probability of output $x \in \{0,1\}^n$ as a function $π(x)$. We present a classical simulation for output probabilities $π$, whose error depends on the Fourier $1$-norm of $π$. Such dependence implies upper-bounds for the quotient between the number of queries applied by an optimal classical algorithm and our quantum algorithm, respectively. These upper-bounds show a strong relation between Fourier $1$-norm and quantum parallelism. We show applications to query complexity.
description: 16 pages, 1 figure, changed title, improved text, added applications
Error-correcting codes for fermionic quantum simulation
Creators: name: Chen, Yu-An
name: Gorshkov, Alexey V.
name: Xu, Yijia
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mathematical Physics (math-ph)
subject: Quantum Algebra (math.QA)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: Utilizing the framework of $\mathbb{Z}_2$ lattice gauge theories in the context of Pauli stabilizer codes, we present methodologies for simulating fermions via qubit systems on a two-dimensional square lattice. We investigate the symplectic automorphisms of the Pauli module over the Laurent polynomial ring. This enables us to systematically increase the code distances of stabilizer codes while fixing the rate between encoded logical fermions and physical qubits. We identify a family of stabilizer codes suitable for fermion simulation, achieving code distances of $d=2,3,4,5,6,7$, allowing correction of any $\lfloor \frac{d-1}{2} \rfloor$-qubit error. In contrast to the traditional code concatenation approach, our method can increase the code distances without decreasing the (fermionic) code rate. In particular, we explicitly show all stabilizers and logical operators for codes with code distances of $d=3,4,5$. We provide syndromes for all Pauli errors and invent a syndrome-matching algorithm to compute code distances numerically.
description: 29 pages, 7 figures. Fixed typos
Motivations and Barriers for the Use of Face Coverings during the COVID-19 Pandemic: Messaging Insights from Focus Groups
Creators: name: Pulido, Marlyn
name: Ribisl, Kurt M.
name: Higgins, Isabella C. A.
name: Lazard, Allison J.
name: Frank, Simone C.
name: Shelus, Victoria S.
name: Vereen, Rhyan N.
name: Vandegrift, Sara M.
name: Richter, Ana Paula C.
name: Hall, Marissa G.
Publisher: name: MDPI
Year: 2020

description: Widespread use of face coverings is a key public health strategy to prevent the spread of COVID-19. However, few studies have examined why Americans use or do not use face coverings, and little is known about the most effective messaging strategies. This study explored perceptions of face coverings, including motivations and barriers for use, and examined reactions to messaging promoting the use of face coverings. Six virtual focus groups were conducted with 34 North Carolina residents in July 2020. Participants reported high compliance with face covering recommendations but often did not wear them around family, friends, and colleagues. The most prevalent motivation for the use of face coverings was to protect or respect other people, including high-risk populations and individuals. Other motivators were self-protection, responsibility, desire for control, requirements, and expert advice. Barriers included physical and social discomfort, confusion or misinformation, low perceived susceptibility to COVID-19, and perceptions of identity and autonomy. Even among individuals who frequently wear face coverings, there are opportunities to improve compliance. Messaging should highlight how face coverings protect the wearer and others around them, normalize the use of face coverings in social settings, and emphasize requirements. Positive messages that focus on unity, personal experiences and the rationale for face coverings are recommended.
Nucleation in sheared granular matter
Creators: name: Rietz, Frank
name: Radin, Charles
name: Swinney, Harry L.
name: Schröter, Matthias
Publisher: name: arXiv
Year: 2017
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We present an experiment on crystallization of packings of macroscopic granular spheres. This system is often considered to be a model for thermally driven atomic or colloidal systems. Cyclically shearing a packing of frictional spheres, we observe a first order phase transition from a disordered to an ordered state. The ordered state consists of crystallites of mixed FCC and HCP symmetry that coexist with the amorphous bulk. The transition, initiated by homogeneous nucleation, overcomes a barrier at 64.5% volume fraction. Nucleation consists predominantly of the dissolving of small nuclei and the growth of nuclei that have reached a critical size of about ten spheres.
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Creators: name: Qayyum, Adnan
name: Butt, Muhammad Atif
name: Ali, Hassan
name: Usman, Muhammad
name: Halabi, Osama
name: Al-Fuqaha, Ala
name: Abbasi, Qammer H.
name: Imran, Muhammad Ali
name: Qadir, Junaid
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Cryptography and Security (cs.CR)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Metaverse is expected to emerge as a new paradigm for the next-generation Internet, providing fully immersive and personalised experiences to socialize, work, and play in self-sustaining and hyper-spatio-temporal virtual world(s). The advancements in different technologies like augmented reality, virtual reality, extended reality (XR), artificial intelligence (AI), and 5G/6G communication will be the key enablers behind the realization of AI-XR metaverse applications. While AI itself has many potential applications in the aforementioned technologies (e.g., avatar generation, network optimization, etc.), ensuring the security of AI in critical applications like AI-XR metaverse applications is profoundly crucial to avoid undesirable actions that could undermine users' privacy and safety, consequently putting their lives in danger. To this end, we attempt to analyze the security, privacy, and trustworthiness aspects associated with the use of various AI techniques in AI-XR metaverse applications. Specifically, we discuss numerous such challenges and present a taxonomy of potential solutions that could be leveraged to develop secure, private, robust, and trustworthy AI-XR applications. To highlight the real implications of AI-associated adversarial threats, we designed a metaverse-specific case study and analyzed it through the adversarial lens. Finally, we elaborate upon various open issues that require further research interest from the community.
description: 24 pages, 11 figures
title: Idiosyncratic concepts in the music of Henry Threadgill's Zooid : an applied investigation into compositional and improvisational techniques
Creators: name: Hill, GK
Publisher: name: University of Tasmania
Year: 2018

description: The purpose of this research is to investigate the music of Henry Threadgill’s Zooid, focusing on compositional and improvisational techniques, and how these function in an ensemble setting. Discoveries from this research will be used to advance the author’s creative practice; a folio of original compositions and performance recordings exploring Threadgill’s ideas will be included in this project.
Henry Threadgill has stated in recent interviews that he has developed an intervalbased harmonic system and a modular approach to form in his current ensemble, Zooid. These innovations result in a dynamic and original sound, absent of traditional harmonic movement and obvious structure. The processes behind this music have not been extensively explored; little research has been performed on this original musical system, while Threadgill’s interviews have provided little clarification of his approach. This research seeks to illuminate this highly acclaimed composer’s groundbreaking music. Amongst other awards, Threadgill’s recent Zooid album In For A Penny In For A Pound received the 2016 Pulitzer Prize for composition. 
This project will be achieved through a number of activities including: interviews with musicians in Zooid and those connected with Threadgill, transcription and analysis of a number of Zooid’s recorded pieces, and the creation and performance of new works inspired by Threadgill’s approach for Zooid. For the author, Threadgill's music is inspiring and intriguing. This research will lead into new areas and provide a contrasting creative approach to that of the author’s. It is hoped that this project may also inspire others to explore Threadgill's approach to music.
NS saturated and $Δ_1$-definable
Creators: name: Hoffelner, Stefan
Publisher: name: arXiv
Year: 2017
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics

description: We show that under the assumption of the existence of the canonical inner model with one Woodin cardinal $M_1$, there is a model of $\ZFC$ in which $\NS$ is $\aleph_2$-saturated and $Δ_1$-definable with $ω_1$ as a parameter which answers a question of Sy-David Friedman and Liuzhen Wu. We also show that starting from an arbitrary universe with a Woodin cardinal, there is a model with $\NS$ saturated and $Δ_1$-definable with a ladder system $\vec{C}$ and a full Suslin tree $T$ as parameters. Both results rely on a new coding technique whose presentation is the main goal of this article.
description: 43 pages
title: From climate change to climate action to climate justice : an ecological neo-Gramscian analysis of ecosocialism’s potential
Creators: name: Croeser, EM
Publisher: name: University of Tasmania
Year: 2018

description: The world confronts an interlinked ecological, economic, social, and political crisis crystallised in the issue of climate change. The failure of governments acting alone and through international institutions to effectively address the climate crisis has led to the growth of a distinct climate movement within civil society whose broad aim is to bring about the changes required to mitigate anthropogenic global warming.
This dissertation examines the role that ecosocialists are playing within the broader climate movement. Utilising a modified neo-Gramscian perspective that builds on the work of Robert Cox and incorporates the global political economy as a category within the Earth’s biosphere, the dissertation provides a critical ecological political economy account of the shift from the Holocene to the Anthropocene in the context of post-war, US-led ‘neoliberal globalisation.’
Building on extensive literature reviews in a range of different discipline areas including the Ecosocialist literature, the dissertation also draws on new primary data in the form of online audio-visual recordings of ecosocialist and scientific meetings and conferences and debates between ecosocialists published on websites. This material is supplemented by interviews with ecosocialists and climate activists undertaken as a participant observer in a number of climate movement‐related protest events, including at the 2015 Paris Climate Summit.
The study confirms the value of ecosocialists’ analyses of the neoliberalising global political Economy that global capitalism does, indeed, result in multiple interconnected ecological, economic, social, and political crises. Focusing specifically on the climate crisis, it describes the origins and operations of the primary institutions established to address anthropogenic global warming (the Intergovernmental Panel on Climate Change and the United Nations Framework Convention on Climate Change) and analyses how the failure of governments working through these institutions to mitigate global warming resulted in the development and growth of the climate movement. Identifying a bifurcation of the movement into a reform-oriented climate action wing and a more system-critical climate justice wing after the 2007 Bali Climate Summit, the dissertation then studies the key role being played by ecosocialists in the movement’s more radical climate justice wing.
Using Gramscian concepts such as ‘war of position,’ ‘passive revolution’ and ‘trasformismo,’ the dissertation evaluates both the ecosocialist strengths and the challenges these actors face in participating in and influencing the broader climate movement. The study concludes by describing some of the limitations of the approaches adopted inconducting this research, engaging in a personal reflection on the research project, and proposing suggestions for further research.
Development of a Minimal Physiologically-Based Pharmacokinetic Model to Simulate Lung Exposure in Humans Following Oral Administration of Ivermectin for COVID-19 Drug Repurposing
Creators: name: Lanusse, Carlos
name: Jermain, Brian
name: Lifschitz, Adrian
name: Cao, Yanguang
name: Hanafin, Patrick O
name: Rao, Gauri G
Publisher: name: Elsevier
Year: 2020

description: SARS-CoV-2 utilizes the IMPα/β1 heterodimer to enter host cell nuclei after gaining cellular access through the ACE2 receptor. Ivermectin has shown antiviral activity by inhibiting the formation of the importin-α (IMPα) and IMPβ1 subunits as well as dissociating the IMPα/β1 heterodimer and has in vitro efficacy against SARS-CoV-2. Plasma and lung ivermectin concentrations vs. time profiles in cattle were used to determine the apparent plasma to lung tissue partition coefficient of ivermectin. This coefficient, together with a simulated geometric mean plasma profile of ivermectin from a published population pharmacokinetic model, was utilized to develop a minimal physiologically-based pharmacokinetic (mPBPK) model. The mPBPK model accurately described the simulated ivermectin plasma concentration profile in humans. The mPBPK model was also used to simulate human lung exposure to ivermectin after 12, 30, and 120 mg oral doses. The simulated ivermectin lung exposures reached a maximum concentration of 772 ng/mL, far less than the estimated 1750 ng/mL IC50 reported for ivermectin against SARS-CoV-2 in vitro. Further studies of ivermectin either reformulated for inhaled delivery or in combination with other antivirals with differing mechanisms of action is needed to assess its therapeutic potential.
Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
Creators: name: Adachi, Masaki
name: Kuhn, Yannick
name: Horstmann, Birger
name: Latz, Arnulf
name: Osborne, Michael A.
name: Howey, David A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: Machine Learning (cs.LG)
subject: Systems and Control (eess.SY)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Physical sciences
subject: 62C10, 62F15

description: A wide variety of battery models are available, and it is not always obvious which model `best' describes a dataset. This paper presents a Bayesian model selection approach using Bayesian quadrature. The model evidence is adopted as the selection metric, choosing the simplest model that describes the data, in the spirit of Occam's razor. However, estimating this requires integral computations over parameter space, which is usually prohibitively expensive. Bayesian quadrature offers sample-efficient integration via model-based inference that minimises the number of battery model evaluations. The posterior distribution of model parameters can also be inferred as a byproduct without further computation. Here, the simplest lithium-ion battery models, equivalent circuit models, were used to analyse the sensitivity of the selection criterion to given different datasets and model configurations. We show that popular model selection criteria, such as root-mean-square error and Bayesian information criterion, can fail to select a parsimonious model in the case of a multimodal posterior. The model evidence can spot the optimal model in such cases, simultaneously providing the variance of the evidence inference itself as an indication of confidence. We also show that Bayesian quadrature can compute the evidence faster than popular Monte Carlo based solvers.
description: 11 pages, 2 figures, accepted at IFAC2023
Optimal and Robust Quantum Metrology Using Interaction-Based Readouts
Creators: name: Nolan, Samuel P.
name: Szigeti, Stuart S.
name: Haine, Simon A.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Useful quantum metrology requires nonclassical states with a high particle number and (close to) the optimal exploitation of the state's quantum correlations. Unfortunately, the single-particle detection resolution demanded by conventional protocols, such as spin squeezing via one-axis twisting, places severe limits on the particle number. Additionally, the challenge of finding optimal measurements (that saturate the quantum Cram{é}r-Rao bound) for an arbitrary nonclassical state limits most metrological protocols to only moderate levels of quantum enhancement. "Interaction-based readout" protocols have been shown to allow optimal interferometry \emph{or} to provide robustness against detection noise at the expense of optimality. In this Letter, we prove that one has great flexibility in constructing an optimal protocol, thereby allowing it to also be robust to detection noise. This requires the full probability distribution of outcomes in an optimal measurement basis, which is typically easily accessible and can be determined from specific criteria we provide. Additionally, we quantify the robustness of several classes of interaction-based readouts under realistic experimental constraints. We determine that optimal \emph{and} robust quantum metrology is achievable in current spin-squeezing experiments.
description: 7 pages, 3 figures
Behavior of vacuum and naked singularity under smooth gauge function in Lyra geometry
Creators: name: Zhi, Haizhao
Publisher: name: arXiv
Year: 2017
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Lyra geometry is a conformal geometry originated from Weyl geometry. In this article, we derive the exterior field equation under spherically symmetric gauge function $x^0(r)$ and metric in Lyra geometry. When we impose a specific form of the gauge function $x^0(r)$, the radial differential equation of the metric component $g_{00}$ will possess an irregular singular point(ISP) at $r=0$. Moreover, we apply the method of dominant balance and then get the asymptotic behavior of the new spacetime solution. The significance of this work is that we could use a series of smooth gauge functions $x^0(r)$ to modulate the degree of divergence of the singularity at $r=0$ and the singularity will become a naked singularity under certain conditions. Furthermore, we investigate the physical meaning of this novel behavior of spacetime in Lyra geometry and find out that no spaceship with finite integrated acceleration could arrive at this singularity at $r=0$. The physical meaning of gauge function and integrability is also discussed.
description: 24 pages, 1 figures
Spin pumping by a moving domain wall at the interface of an antiferromagnetic insulator and a two-dimensional metal
Creators: name: Mal'shukov, A. G.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: A domain wall (DW) which moves parallel to a magnetically compensated interface between an antiferromagnetic insulator (AFMI) and a two-dimensional (2D) metal can pump spin polarization into the metal. It is assumed that localized spins of a collinear AFMI interact with itinerant electrons through their exchange interaction on the interface. We employed the formalism of Keldysh Green's functions for electrons which experience potential and spin-orbit scattering on random impurities. This formalism allows a unified analysis of spin pumping, spin diffusion and spin relaxation effects on a 2D electron gas. It is shown that the pumping of a nonstaggered magnetization into the metal film takes place in the second order with respect to the interface exchange interaction. At sufficiently weak spin relaxation this pumping effect can be much stronger than the first-order effect of the Pauli magnetism which is produced by the small nonstaggered exchange field of the DW. It is shown that the pumped polarization is sensitive to the geometry of the electron's Fermi surface and increases when the wave vector of the staggered magnetization approaches the nesting vector of the Fermi surface. In a disordered diffusive electron gas the induced spin polarization follows the motion of the domain wall. It is distributed asymmetrically around the DW over a distance which can be much larger than the DW width.
description: 12 pages, 3 figures
Note on the saturation of the norm inequalities between diamond and nuclear norm
Creators: name: Michel, Ulrich
name: Kliesch, Martin
name: Kueng, Richard
name: Gross, David
Publisher: name: arXiv
Year: 2016
Subjects: subject: Information Theory (cs.IT)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: The diamond norm plays an important role in quantum information and operator theory. Recently, it has also been proposed as a regularizer for low-rank matrix recovery. The norm constants that bound the diamond norm in terms of the nuclear norm (also known as trace norm) are explicitly known. This note provides a simple characterization of all operators saturating the upper and the lower bound.
description: Simplified proof of the main theorem in [arXiv:1511.01513] and a converse statement. 3+1 pages. V2: small changes and incomplete funding information corrected. V3: minor polishing, published version
Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data
Creators: name: Ballarin, Giovanni
name: Dellaportas, Petros
name: Grigoryeva, Lyudmila
name: Hirt, Marcel
name: van Huellen, Sophie
name: Ortega, Juan-Pablo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Econometrics (econ.EM)
subject: FOS: Economics and business

description: Macroeconomic forecasting has recently started embracing techniques that can deal with large-scale datasets and series with unequal release periods. MIxed-DAta Sampling (MIDAS) and Dynamic Factor Models (DFM) are the two main state-of-the-art approaches that allow modeling series with non-homogeneous frequencies. We introduce a new framework called the Multi-Frequency Echo State Network (MFESN) based on a relatively novel machine learning paradigm called reservoir computing. Echo State Networks (ESN) are recurrent neural networks formulated as nonlinear state-space systems with random state coefficients where only the observation map is subject to estimation. MFESNs are considerably more efficient than DFMs and allow for incorporating many series, as opposed to MIDAS models, which are prone to the curse of dimensionality. All methods are compared in extensive multistep forecasting exercises targeting US GDP growth. We find that our MFESN models achieve superior or comparable performance over MIDAS and DFMs at a much lower computational cost.
description: 76 pages, 28 figures, appendices included
Privacy-preserving Non-negative Matrix Factorization with Outliers
Creators: name: Saha, Swapnil
name: Imtiaz, Hafiz
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Non-negative matrix factorization is a popular unsupervised machine learning algorithm for extracting meaningful features from data which are inherently non-negative. However, such data sets may often contain privacy-sensitive user data, and therefore, we may need to take necessary steps to ensure the privacy of the users while analyzing the data. In this work, we focus on developing a Non-negative matrix factorization algorithm in the privacy-preserving framework. More specifically, we propose a novel privacy-preserving algorithm for non-negative matrix factorisation capable of operating on private data, while achieving results comparable to those of the non-private algorithm. We design the framework such that one has the control to select the degree of privacy grantee based on the utility gap. We show our proposed framework's performance in six real data sets. The experimental results show that our proposed method can achieve very close performance with the non-private algorithm under some parameter regime, while ensuring strict privacy.
description: 15 pages, 11 figures; additional explanations (in blue colours)