cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The $T$-adic Galois representation is surjective for a positive density of Drinfeld modules
Creators: name: Ray, Anwesh
Publisher: name: arXiv
Year: 2023
Subjects: subject: Number Theory (math.NT)
subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 11F80, 11G09, 11R45

description: Let $\mathbb{F}_q$ be the finite field with $q\geq 5$ elements, $A:=\mathbb{F}_q[T]$ and $F:=\mathbb{F}_q(T)$. Assume that $q$ is odd and take $|\cdot|$ to be the absolute value at $\infty$ that is normalized by $|T|=q$. Given a pair $w=(g_1, g_2)\in A^2$ with $g_2\neq 0$, consider the associated Drinfeld module $ϕ^w: A\rightarrow A\{τ\}$ of rank $2$ defined by $ϕ_T^w=T+g_1τ+g_2τ^2$. Fix integers $c_1, c_2\geq 1$ and define $|w|:=max\{|g_1|^{\frac{1}{c_1}}, |g_2|^{\frac{1}{c_2}}\}$. I show that when ordered by height, there is a positive density of pairs $w=(g_1, g_2)$, such that the $T$-adic Galois representation attached to $ϕ^w$ is surjective.
PATSMA: Parameter Auto-tuning for Shared Memory Algorithms
Creators: name: Fernandes, Joao B.
name: da Silva, Felipe H. S.
name: Xavier-de-Souza, Samuel
name: Assis, Italo A. S.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Programs with high levels of complexity often face challenges in adjusting execution parameters, particularly when these parameters vary based on the execution context. These dynamic parameters significantly impact the program's performance, such as loop granularity, which can vary depending on factors like the execution environment, program input, or the choice of compiler. Given the expensive nature of testing each case individually, one viable solution is to automate parameter adjustments using optimization methods. This article introduces PATSMA, a parameter auto-tuning tool that leverages Coupled Simulated Annealing (CSA) and Nelder-Mead (NM) optimization methods to fine-tune existing parameters in an application. We demonstrate how auto-tuning can contribute to the real-time optimization of parallel algorithms designed for shared memory systems. PATSMA is a C++ library readily available under the MIT license.
Quantum Differentially Private Sparse Regression Learning
Creators: name: Du, Yuxuan
name: Hsieh, Min-Hsiu
name: Liu, Tongliang
name: You, Shan
name: Tao, Dacheng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The eligibility of various advanced quantum algorithms will be questioned if they can not guarantee privacy. To fill this knowledge gap, here we devise an efficient quantum differentially private (QDP) Lasso estimator to solve sparse regression tasks. Concretely, given $N$ $d$-dimensional data points with $N\ll d$, we first prove that the optimal classical and quantum non-private Lasso requires $Ω(N+d)$ and $Ω(\sqrt{N}+\sqrt{d})$ runtime, respectively. We next prove that the runtime cost of QDP Lasso is \textit{dimension independent}, i.e., $O(N^{5/2})$, which implies that the QDP Lasso can be faster than both the optimal classical and quantum non-private Lasso. Last, we exhibit that the QDP Lasso attains a near-optimal utility bound $\tilde{O}(N^{-2/3})$ with privacy guarantees and discuss the chance to realize it on near-term quantum chips with advantages.
description: Final Version. Accepted in IEEE Transactions on Information Theory on 19 March, 2022
Eloquent: A More Robust Transmission Scheme for LLM Token Streaming
Creators: name: Li, Hanchen
name: Liu, Yuhan
name: Cheng, Yihua
name: Ray, Siddhant
name: Du, Kuntai
name: Jiang, Junchen
Publisher: name: arXiv
Year: 2024
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: To render each generated token in real-time for users, the Large Language Model (LLM) server generates tokens one by one and streams each token (or group of a few tokens) through the network to the user right after generation, which we refer to as LLM token streaming. However, under unstable network conditions, the LLM token streaming experience could suffer greatly from stalls since one packet loss could block the rendering of later tokens even if the packets containing them arrive on time. With a measurement study, we show that current applications suffer from increased stalls under unstable networks.
 For this emerging token streaming problem in LLM Chatbots that differs from previous multimedia and text applications, we propose a novel transmission scheme, called Eloquent, which puts newly generated tokens as well as currently unacknowledged tokens in the next outgoing packet. This ensures that each packet contains some new tokens and, in the meantime, is independently rendered when received, avoiding the aforementioned stalls caused by missing packets. Through simulation under various networks, we show Eloquent reduces stall ratio (proportion of token rendering wait time) by 71.0% compared to the retransmission method commonly used by real chatbot applications and by 31.6% compared to the baseline packet duplication scheme. By tailoring Eloquent to fit the token-by-token generation of LLM, we enable the Chatbots to respond like an eloquent speaker for users to better enjoy pervasive AI.
description: In SIGCOMM Workshop on Networks for AI Computing (NAIC '24)
Geometric structures, the Gromov order, Kodaira dimensions and simplicial volume
Creators: name: Neofytidis, Christoforos
name: Zhang, Weiyi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Geometric Topology (math.GT)
subject: Algebraic Geometry (math.AG)
subject: Algebraic Topology (math.AT)
subject: Differential Geometry (math.DG)
subject: Group Theory (math.GR)
subject: FOS: Mathematics

description: We introduce an axiomatic definition for the Kodaira dimension and classify Thurston geometries in dimensions $\leq 5$ in terms of this Kodaira dimension. We show that the Kodaira dimension is monotone with respect to the partial order defined by maps of non-zero degree between 5-manifolds. We study the compatibility of our definition with traditional notions of Kodaira dimension, especially the highest possible Kodaira dimension. To this end, we establish a connection between the simplicial volume and the holomorphic Kodaira dimension, which in particular implies that any smooth Kähler 3-fold with non-vanishing simplicial volume has top holomorphic Kodaira dimension.
description: 23 pages; v2: minor changes, to appear in Pacific Journal of Mathematics
Capitao_supplementary_information – Supplemental material for A single administration of ‘microbial’ D-alanine to healthy volunteers augments reaction to negative emotions: A comparison with D-serine
Creators: name: Capitão, Liliana P
name: Forsyth, Jessica
name: Thomaidou, Mia A
name: Condon, Mark D
name: Harmer, Catherine J
name: Burnet, Philip WJ
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)

description: Supplemental material, Capitao_supplementary_information for A single administration of ‘microbial’ D-alanine to healthy volunteers augments reaction to negative emotions: A comparison with D-serine by Liliana P Capitão, Jessica Forsyth, Mia A Thomaidou, Mark D Condon, Catherine J Harmer and Philip WJ Burnet in Journal of Psychopharmacology
Additional file 1 of Creating and administering video vignettes for a study examining the communication of diagnostic uncertainty: methodological insights to improve accessibility for researchers and participants
Creators: name: Cox, Caitríona
name: Hatfield, Thea
name: Moxey, Jordan
name: Fritz, Zoë
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1: Appendix 1. Vignette scripts and introductory text.
Supplemental Material, Appendix1 - Clinical Implementation of a Parent Questionnaire to Identify Seizures in High-Risk Children
Creators: name: Greenlaw, Celia
name: Nuss, Sarah
name: Camayd-Muñoz, Cristina
name: Jonas, Rinat
name: Rollins, Julie Vanier
name: Cabral, Howard
name: Douglass, Laurie M.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111403 Paediatrics
subject: Neuroscience

description: Supplemental Material, Appendix1 for Clinical Implementation of a Parent Questionnaire to Identify Seizures in High-Risk Children by Celia Greenlaw, Sarah Nuss, Cristina Camayd-Muñoz, Rinat Jonas, Julie Vanier Rollins, Howard Cabral and Laurie M. Douglass in Journal of Child Neurology
From the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term Unemployment
Creators: name: Zezulka, Sebastian
name: Genin, Konstantin
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Deploying an algorithmically informed policy is a significant intervention in society. Prominent methods for algorithmic fairness focus on the distribution of predictions at the time of training, rather than the distribution of social goods that arises after deploying the algorithm in a specific social context. However, requiring a "fair" distribution of predictions may undermine efforts at establishing a fair distribution of social goods. First, we argue that addressing this problem requires a notion of prospective fairness that anticipates the change in the distribution of social goods after deployment. Second, we provide formal conditions under which this change is identified from pre-deployment data. That requires accounting for different kinds of performative effects. Here, we focus on the way predictions change policy decisions and, consequently, the causally downstream distribution of social goods. Throughout, we are guided by an application from public administration: the use of algorithms to predict who among the recently unemployed will remain unemployed in the long term and to target them with labor market programs. Third, using administrative data from the Swiss public employment service, we simulate how such algorithmically informed policies would affect gender inequalities in long-term unemployment. When risk predictions are required to be "fair" according to statistical parity and equality of opportunity, targeting decisions are less effective, undermining efforts to both lower overall levels of long-term unemployment and to close the gender gap in long-term unemployment.
description: 41 pages, 12 figures, 6 tables; substantial text overlap with arXiv:2310.08349
PRX913490 Appendix - Supplemental material for Relations Between Cultural Life Scripts, Individual Life Stories, and Psychological Distress
Creators: name: Anne, Michele
name: Janssen, Steve M. J.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, PRX913490 Appendix for Relations Between Cultural Life Scripts, Individual Life Stories, and Psychological Distress by Michele Anne and Steve M. J. Janssen in Psychological Reports
Dual frame optimization for informationally complete quantum measurements
Creators: name: Fischer, Laurin E.
name: Dao, Timothée
name: Tavernelli, Ivano
name: Tacchino, Francesco
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Randomized measurement protocols such as classical shadows represent powerful resources for quantum technologies, with applications ranging from quantum state characterization and process tomography to machine learning and error mitigation. Recently, the notion of measurement dual frames, in which classical shadows are generalized to dual operators of POVM effects, resurfaced in the literature. This brought attention to additional degrees of freedom in the post-processing stage of randomized measurements that are often neglected by established techniques. In this work, we leverage dual frames to construct improved observable estimators from informationally complete measurement samples. We introduce novel classes of parametrized frame superoperators and optimization-free dual frames based on empirical frequencies, which offer advantages over their canonical counterparts while retaining computational efficiency. Remarkably, this comes at almost no quantum or classical cost, thus rendering dual frame optimization a valuable addition to the randomized measurement toolbox.
description: 9+3 pages, 4 figures
Computation of the quarkonium and meson-meson composition of the $Υ(nS)$ states and of the new $Υ(10753)$ Belle resonance from lattice QCD static potentials
Creators: name: Bicudo, Pedro
name: Cardoso, Nuno
name: Mueller, Lasse
name: Wagner, Marc
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We compute the composition of the bottomonium $Υ(nS)$ states (including $Υ(10860)$) and the new $Υ(10753)$ resonance reported by Belle in terms of quarkonium and meson-meson components. We use a recently developed novel approach utilizing lattice QCD string breaking potentials for the study of resonances. This approach is based on the Born Oppenheimer approximation and the unitary emergent wave method and allows to compute the poles of the $\mbox{S}$ matrix. We focus on $I=0$ bottomonium $S$ wave bound states and resonances, where the Schrödinger equation is a set of coupled differential equations. One of the channels corresponds to a confined heavy quark-antiquark pair $\bar b b$, the others to pairs of heavy-light mesons. In a previous study only one meson-meson channel $\bar{B}^{(\ast)} B^{(\ast)}$ was considered. Now we also include the closed strangeness channel $\bar{B}_s^{(\ast)} B_s^{(\ast)}$ extending our formalism significantly to have a more realistic description of bottomonium. We confirm the new Belle resonance $Υ(10753)$ as a dynamical meson-meson resonance with around $85 \%$ meson-meson content. Moreover, we identify $Υ(4S)$ and $Υ(10860)$ as states with both sizable quarkonium and meson-meson contents. With these results we contribute to the clarification of ongoing controversies in the vector bottomonium spectrum.
description: 14 pages, 5 figures; removed $k$ and $k_s$ prefactors in the Schroedinger equation (11) and in the boundary conditions (16) and (17)
HSR897091 Supplemental Material - Supplemental material for Using a systematic review to uncover theory and outcomes for a complex intervention in health and social care: a worked example using life story work for people with dementia
Creators: name: Parker, Gillian
name: Gridley, Kate
name: Birks, Yvonne
name: Glanville, Julie
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified

description: Supplemental material, HSR897091 Supplemental Material for Using a systematic review to uncover theory and outcomes for a complex intervention in health and social care: a worked example using life story work for people with dementia by Gillian Parker, Kate Gridley, Yvonne Birks and Julie Glanville in Journal of Health Services Research & Policy
sj-pdf-1-pms-10.1177_0031512520957150 - Supplemental material for External (Versus Internal) Facial Features Contribute Most to Repetition Priming in Facial Recognition: ERP Evidence
Creators: name: Aiqing Nie
name: Yu, Yao
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-pdf-1-pms-10.1177_0031512520957150 for External (Versus Internal) Facial Features Contribute Most to Repetition Priming in Facial Recognition: ERP Evidence by Aiqing Nie and Yao Yu in Perceptual and Motor Skills
Additional file 1 of Cognitive behavior therapy for diabetes distress, depression, health anxiety, quality of life and treatment adherence among patients with type-II diabetes mellitus: a randomized control trial
Creators: name: Abbas, Qasir
name: Latif, Sana
name: Ayaz Habib, Hina
name: Shahzad, Salman
name: Sarwar, Uzma
name: Shahzadi, Mafia
name: Ramzan, Zoobia
name: Washdev, Washdev
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Chemical Sciences not elsewhere classified
Science Policy
Mental Health

description: Additional file 1: Supplementary Table 1. Therapeutic sessions details with designed agenda and content for the patients withT2DM.
protest_method_appendix_final – Supplemental material for CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media
Creators: name: Zhang, Han
name: Pan, Jennifer
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: Sociological Methodology and Research Methods
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, protest_method_appendix_final for CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media by Han Zhang and Jennifer Pan in Sociological Methodology
Data from: Modulation of deformation by magmatic tempo, Coast Mountains Batholith, British Columbia, Canada
Creators: name: Rusmore, Margaret
name: Woodsworth, Glenn
name: Cecil, Robinson
name: Stowell, Harold
name: Bollen, Elizabeth
name: Gerhels, George
name: Grove, Marty
name: Young, Pinkie
Publisher: name: Zenodo
Year: 2024
Subjects: Cordilleran batholiths
Deformation
magmatism
Coast Mountains
crustal evolution
convergent margins
British Columbia

description: The data is used to constrain the tectonmagmatic evolution of the southern Coast Mountains batholith from ca. 120 – 50 Ma.  Three periods of deformation coincide spatially and temporally with three periods of high-flux magmatism derived from mantle sources.  These results suggest that the deformation was modulated by episodic magmatism and so was not a driver of episodic magmatism.  During a period of high-flux magmatism, deformation style within the active arc reflects coeval relative plate motions; the timing of shifts in plate motions outside of these periods may not be recorded by the deformation.
description: Funding provided by: National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: EAR-1347341
Funding provided by: National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: EAR-001147
Funding provided by: National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: EAR-1347219
Funding provided by: National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: EAR-1655152
Funding provided by: National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: EAR-1347212
Funding provided by: National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: EAR-1649254
description: Data were collected and analyzed through integrated field and laboratory work by the principal investigators and their students as more fully described in Rusmore et al., 2024. DOI:10.1029/2024TC008318 (open access).  Field work was conducted in the southern Coast Mountains of British Columbia on a NE-trending transect along Bute and Knight Inlets and in the region around Mount Waddington in 2014, 2015, and 2016.  Analysis of structural, petrographic, and field data was conducted at Occidental College. The U-Pb geochronology was performed at the University of Arizona LaserChron Center (ALC); Ar geochronology was conducted at Stanford University.  Microprobe analysis used in hornblende geothermobarometry was conducted at the California Institute of Technology, Earth and Planetary Sciences division.
Additional file 1 of Accuracy of diagnostic tests in cardiac injury after blunt chest trauma: a systematic review and meta-analysis
Creators: name: Kyriazidis, Ioannis Panagiotis
name: Jakob, Dominik A.
name: Vargas, Juliana Alexandra Hernández
name: Franco, Oscar H.
name: Degiannis, Elias
name: Dorn, Patrick
name: Pouwels, Sjaak
name: Patel, Bijendra
name: Johnson, Ian
name: Houdlen, Christopher John
name: Whiteley, Graham S.
name: Head, Marion
name: Lala, Anil
name: Mumtaz, Haroon
name: Soler, J. Agustin
name: Mellor, Katie
name: Rawaf, David
name: Ahmed, Ahmed R.
name: Ahmad, Suhaib J. S.
name: Exadaktylos, Aristomenis
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 1. Supplemental Tables.
A Representative Framework for Implementing Quantum Finite Automata on Real Devices
Creators: name: Khadieva, Aliya
name: Salehi, Özlem
name: Yakaryılmaz, Abuzer
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Formal Languages and Automata Theory (cs.FL)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We present a framework for the implementation of quantum finite automata algorithms designed for the language $ MOD_p = \{ a^{i\cdot p } \mid i \geq 0 \}$ on gate-based quantum computers. First, we compile the known theoretical results from the literature to reduce the number of CNOT gates. Second, we demonstrate techniques for modifying the algorithms based on the basis gates of available quantum hardware in order to reduce circuit depth. Lastly, we explore how the number of CNOT gates may be reduced further if the topology of the qubits is known.
description: Proceedings of UCNC 2024
On the moduli of logarithmic connections on elliptic curves
Creators: name: Fassarella, Thiago
name: Loray, Frank
name: Muniz, Alan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 34M55, 14D20, 32G20, 32G34

description: We describe moduli spaces of logarithmic rank $2$ connections on elliptic curves with $n \geq 1$ poles and generic residues. In particular, we generalize a previous work by the first and second named authors. Our main approach is to analyze the underlying parabolic bundles; their stability and instability play a major role.
description: Some changes in the exposition. Final version to appear in Math. Z.. Comments are still welcome!
Spatio-Temporal Probabilistic Voltage Sensitivity Analysis - A Novel Framework for Hosting Capacity Analysis
Creators: name: Munikoti, Sai
name: Abujubbeh, Mohammad
name: Jhala, Kumarsinh
name: Natarajan, Balasubramaniam
Publisher: name: arXiv
Year: 2020
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Smart grids are envisioned to accommodate high penetration of distributed photovoltaic (PV) generation, which may cause adverse grid impacts in terms of voltage violations. Therefore, PV Hosting capacity (HC) is being used as a planning tool to determine the maximum PV installation capacity that causes the first voltage violation and above which would require infrastructure upgrades. Traditional methods of HC analysis are computationally complex as they are based on iterative load flow algorithms that require investigation of a large number of scenarios for accurate assessment of PV impacts. This paper first presents a computationally efficient analytical approach to compute the probability distribution of voltage change at a particular node due to random behavior of randomly located multiple distributed PVs. Next, the derived distribution is used to identify voltage violations for various PV penetration levels and subsequently determine the HC of the system without the need to examine multiple scenarios. Results from the proposed spatio-temporal probabilistic voltage sensitivity analysis and the HC are validated via conventional load flow based simulation approach on the IEEE 37 and IEEE 123 node test systems.
description: 8 pages, 2 figures, discussion added
Supplementary_file_6_xyz338236c449136 – Supplemental material for Identification and Characterization of Carnitine Palmitoyltransferase 1 (cpt 1) Genes in Nile Tilapia, Oreochromis niloticus
Creators: name: Bayır, Mehtap
name: Arslan, Gökhan
name: Bayır, Abdulkadir
Publisher: name: SAGE Journals
Year: 2020
Subjects: Cell Biology

description: Supplemental material, Supplementary_file_6_xyz338236c449136 for Identification and Characterization of Carnitine Palmitoyltransferase 1 (cpt 1) Genes in Nile Tilapia, Oreochromis niloticus by Mehtap Bayır, Gökhan Arslan and Abdulkadir Bayır in Evolutionary Bioinformatics
JCH893739 Supplemental Material - Supplemental material for Students from Portuguese Africa in the Soviet Union, 1960–74: Anti-colonialism, Education, and the Socialist Alliance
Creators: name: Katsakioris, Constantin
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: History
subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, JCH893739 Supplemental Material for Students from Portuguese Africa in the Soviet Union, 1960–74: Anti-colonialism, Education, and the Socialist Alliance by Constantin Katsakioris in Journal of Contemporary History
Lens partition function, pentagon identity and star-triangle relation
Creators: name: Bozkurt, Deniz N.
name: Gahramanov, Ilmar
name: Mullahasanoglu, Mustafa
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Physical sciences
subject: 16T25, 33Cxx, 33Dxx

description: We study the three-dimensional lens partition function for $\mathcal N=2$ supersymmetric gauge dual theories on $S^3/\mathbb{Z}_r$ by using the gauge/YBE correspondence. This correspondence relates supersymmetric gauge theories to exactly solvable models of statistical mechanics. The equality of partition functions for the three-dimensional supersymmetric dual theories can be written as an integral identity for hyperbolic hypergeometric functions. We obtain such an integral identity which can be written as the star-triangle relation for Ising type integrable models and as the integral pentagon identity. The latter represents the basic 2-3 Pachner move for triangulated 3-manifolds. A special case of our integral identity can be used for proving orthogonality and completeness relation of the Clebsch-Gordan coefficients for the self-dual continuous series of $U_q(osp(1|2))$.
description: 22 pages, v2: minor corrections and comments, v3: minor corrections
What Operations can be Performed Directly on Compressed Arrays, and with What Error?
Creators: name: Agarwal, Tripti
name: Dam, Harvey
name: Khalifa, Dorra Ben
name: Martel, Matthieu
name: Sadayappan, P.
name: Gopalakrishnan, Ganesh
Publisher: name: arXiv
Year: 2024
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In response to the rapidly escalating costs of computing with large matrices and tensors caused by data movement, several lossy compression methods have been developed to significantly reduce data volumes. Unfortunately, all these methods require the data to be decompressed before further computations are done. In this work, we develop a lossy compressor that allows a dozen fairly fundamental operations directly on compressed data while offering good compression ratios and modest errors. We implement a new compressor PyBlaz based on the familiar GPU-powered PyTorch framework, and evaluate it on three non-trivial applications, choosing different number systems for internal representation. Our results demonstrate that the compressed-domain operations achieve good scalability with problem sizes while incurring errors well within acceptable limits. To our best knowledge, this is the first such lossy compressor that supports compressed-domain operations while achieving acceptable performance as well as error.
description: An extended but earlier version of paper in https://dl.acm.org/doi/10.1145/3624062.3625122 published at the DRBSD Workshop in 2023
Appendix_B – Supplemental material for Province-level estimation of waste mobile phones in China and location planning of recycling centers
Creators: name: Juntao Wang
name: Mishima, Nozomu
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, Appendix_B for Province-level estimation of waste mobile phones in China and location planning of recycling centers by Juntao Wang and Nozomu Mishima in Waste Management & Research
Supplementary_document-R4 – Supplemental material for Solid waste management practice in a tourism destination – The status and challenges: A case study in Hoi An City, Vietnam
Creators: name: Phu, Song Toan Pham
name: Fujiwara, Takeshi
name: Minh, Giang Hoang
name: Van, Dinh Pham
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, Supplementary_document-R4 for Solid waste management practice in a tourism destination – The status and challenges: A case study in Hoi An City, Vietnam by Song Toan Pham Phu, Takeshi Fujiwara, Giang Hoang Minh and Dinh Pham Van in Waste Management & Research
Design and Performance Evaluation of SEANet, a Software-defined Networking Platform for the Internet of Underwater Things
Creators: name: Unal, Deniz
name: Falleni, Sara
name: Enhos, Kerem
name: Demirors, Emrecan
name: Basagni, Stefano
name: Melodia, Tommaso
Publisher: name: arXiv
Year: 2024
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper presents the design and performance evaluation of the SEANet platform, a software-defined acoustic modem designed for enhancing underwater networking and Internet of Underwater Things (IoUT) applications. Addressing the limitations of traditional acoustic modems, which suffer from low data rates and rigid architectures, SEANet introduces a versatile, adaptive framework capable of reconfiguring all layers of the protocol stack in real-time to accommodate diverse marine applications. The platform integrates high-performance, wideband data converters with modular hardware and software components, enabling real-time adaptation to changing environmental and operational conditions. Experimental evaluations conducted in oceanic settings demonstrate the SEANet capability to significantly exceed the performance of existing commercial underwater modems, supporting data rates up to 150 kbit/s and effectively doubling the performance metrics of conventional systems. Our robust testing also highlights the SEANet proficiency in channel estimation, Orthogonal Frequency-Division Multiplexing (OFDM) link establishment, and interoperability through the JANUS communication standard. Our results underscore the SEANet potential to transform underwater communication technologies, providing a scalable and efficient solution that supports high data rate applications and fosters the expansion of IoUT deployments.
description: 14 pages, 18 figures
Quantum Property Testing Algorithm for the Concatenation of Two Palindromes Language
Creators: name: Khadiev, Kamil
name: Serov, Danil
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Computational Complexity (cs.CC)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: In this paper, we present a quantum property testing algorithm for recognizing a context-free language that is a concatenation of two palindromes $L_{REV}$. The query complexity of our algorithm is $O(\frac{1}{\varepsilon}n^{1/3}\log n)$, where $n$ is the length of an input. It is better than the classical complexity that is $Θ^*(\sqrt{n})$.
 At the same time, in the general setting, the picture is different a little. Classical query complexity is $Θ(n)$, and quantum query complexity is $Θ^*(\sqrt{n})$. So, we obtain polynomial speed-up for both cases (general and property testing).
description: Proceedings of UCNC 2024
Infinitesimal Darboux transformation and semi-discrete mKdV equation
Creators: name: Cho, Joseph
name: Rossman, Wayne
name: Seno, Tomoya
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: (2020): 53A70 (Primary) 35Q53, 53A04 (Secondary)

description: We connect certain continuous motions of discrete planar curves resulting in semi-discrete potential Korteweg-de Vries (mKdV) equation with Darboux transformations of smooth planar curves. In doing so, we define infinitesimal Darboux transformations that include the aforementioned motions, and also give an alternate geometric interpretation for establishing the semi-discrete potential mKdV equation.
description: 11 pages
Gateway to all-optical spin switching in Heusler ferrimagnets: Pancharatnam-Berry tensor and magnetic moment ratio
Creators: name: Zhang, G. P.
name: Liu, Y. Q.
name: Si, M. S.
name: Allbritton, Nicholas
name: Bai, Y. H.
name: Hübner, Wolfgang
name: George, Thomas F.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Computational Physics (physics.comp-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: All-optical spin switching (AOS) is a new phenomenon found in a small group of magnetic media, where a single laser pulse can switch spins from one direction to another, without assistance of a magnetic field, on a time scale much shorter than existing magnetic technology. However, despite intensive efforts over a decade, its underlying working principle remains elusive. Here through manganese-based Heusler ferrimagnets, we show that a group of flat bands around the Fermi level act as gateway states to form efficient channels or spin switching, where their noncentrosymmetry allows us to correlate the spin dynamics to the second-order optical response. To quantify their efficacy, we introduce the third-rank Pancharatnam-Berry tensor (PB tensor), $\boldsymbolη^{(3)}=\langle i |{\bf p} |m\rangle \langle m|{\bf p} |f\rangle \langle f|{\bf p} |i\rangle,$ where $|i\rangle$, $|m\rangle$ and $|f\rangle$ are initial, intermediate and final band states, respectively, and ${\bf p}$ is the momentum operator. A picture emerges: Those which show AOS, such as the recently discovered Mn$_2$RuGa, always have a large PB tensor element} but have a small sublattice spin moment ratio, consistent with the prior experimental small remanence criterion. This does not only reveal that the delicate balance between the large PB tensor element and the small sublattice spin ratio plays a decisive role in AOS, but also, conceptually, connects the $n$th-order nonlinear optics to $(n+1)$th-rank PB tensors in general.
description: 20 pages, four figures. Published in Physical Review B Letters
ELMO2EDS: Transforming Educational Credentials into Self-Sovereign Identity Paradigm
Creators: name: Herbke, Patrick
name: Yildiz, Hakan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Digital credentials in education make it easier for students to apply for a course of study, a new job, or change a higher education institute. Academic networks, such as EMREX, support the exchange of digital credentials between students and education institutes. Students can fetch results from one educational institute and apply for a course of study at another educational institute. Digital signatures of the issuing institution can verify the authenticity of digital credentials. Each institution must provide the integration of EMREX using its identity management system. In this paper, we investigate how digital credentials can be integrated into the Self-Sovereign Identity ecosystem to overcome the known issues of academic networks. We examine known issues such as the authentication of students. Self-Sovereign Identity is a paradigm that gives individuals control of their digital identities. Based on our findings, we propose ELMO2EDS, a solution that 1) converts digital credentials from EMREX to a suitable Self-Sovereign Identy data format, 2) enables authenticating a student, and 3) enables issuing, storing, and verification of achieved study.
description: Published at the 20th International Conference on Information Technology Based Higher Education and Training (ITHET) Antalya, Turkey
Additional file 1 of Quantifying and reducing inequity in average treatment effect estimation
Creators: name: Nieser, Kenneth J.
name: Cochran, Amy L.
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. Supplementary material. This file contains additional mathematical details and support accompanying the main text, along with figures with results from the rest of the simulation studies and case study details.
Powers and roots of partial isometric covariant representations
Creators: name: Saini, Dimple
name: Trivedi, Harsh
name: Veerabathiran, Shankar
Publisher: name: arXiv
Year: 2024
Subjects: subject: Operator Algebras (math.OA)
subject: FOS: Mathematics
subject: 46L08, 47A65, 47L55, 47L80

description: Isometric covariant representations play an important role in the study of Cuntz-Pimsner algebras. In this article, we study partial isometric covariant representations and explore under what conditions powers and roots of partial isometric covariant representations are also partial isometric covariant representations.
Press Freedom In Australia
Creators: name: Johanesen, Danielle
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 461006
subject: Library studies

description: This article outlines the role of libraries in ensuring the free flow of information and upholding freedom of the press. It was written in response to the 2019 raids on journalist's homes and news corporations by the Australian Federal Police.
Energy-based error bound of physics-informed neural network solutions in elasticity
Creators: name: Guo, Mengwu
name: Haghighat, Ehsan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: An energy-based a posteriori error bound is proposed for the physics-informed neural network solutions of elasticity problems. An admissible displacement-stress solution pair is obtained from a mixed form of physics-informed neural networks, and the proposed error bound is formulated as the constitutive relation error defined by the solution pair. Such an error estimator provides an upper bound of the global error of neural network discretization. The bounding property, as well as the asymptotic behavior of the physics-informed neural network solutions, are studied in a demonstrating example.
THE POWER OF REMOTE SENSING CLASSIFICATION FOR ENVIRONMENTAL MONITORING AND MANAGEMENT
Creators: name: Kattayev, Bobir
Publisher: name: Zenodo
Year: 2024

description: Remote sensing, the science of acquiring information about Earth's surface from a distance, has become a critical tool for environmental monitoring and management. Extracting meaningful insights from this vast amount of data hinges on the power of remote sensing classification. This technique categorizes pixels within an image based on their spectral characteristics, allowing scientists to identify and map various features on the Earth's surface. This article explores the capabilities of remote sensing classification in environmental applications. We will examine how classification facilitates the monitoring of land cover change, deforestation, forest health, water quality, and other critical environmental parameters. By enabling the creation of detailed and up-to-date maps, remote sensing classification empowers environmental managers to track changes, assess risks, and develop effective strategies for sustainable resource management.
Quantum circuit architecture search for variational quantum algorithms
Creators: name: Du, Yuxuan
name: Huang, Tao
name: You, Shan
name: Hsieh, Min-Hsiu
name: Tao, Dacheng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Variational quantum algorithms (VQAs) are expected to be a path to quantum advantages on noisy intermediate-scale quantum devices. However, both empirical and theoretical results exhibit that the deployed ansatz heavily affects the performance of VQAs such that an ansatz with a larger number of quantum gates enables a stronger expressivity, while the accumulated noise may render a poor trainability. To maximally improve the robustness and trainability of VQAs, here we devise a resource and runtime efficient scheme termed quantum architecture search (QAS). In particular, given a learning task, QAS automatically seeks a near-optimal ansatz (i.e., circuit architecture) to balance benefits and side-effects brought by adding more noisy quantum gates to achieve a good performance. We implement QAS on both the numerical simulator and real quantum hardware, via the IBM cloud, to accomplish data classification and quantum chemistry tasks. In the problems studied, numerical and experimental results show that QAS can not only alleviate the influence of quantum noise and barren plateaus, but also outperforms VQAs with pre-selected ansatze.
description: Final version. See also a concurrent paper [arXiv:2010.08561]
Press Freedom In Australia
Creators: name: Johanesen, Danielle
Publisher: name: La Trobe
Year: 2020
Subjects: subject: 80706 Librarianship
subject: FOS: Media and communications

description: This article outlines the role of libraries in ensuring the free flow of information and upholding freedom of the press. It was written in response to the 2019 raids on journalist's homes and news corporations by the Australian Federal Police.
Boundary values of zero solutions of hypoelliptic differential operators in ultradistribution spaces
Creators: name: Debrouwere, Andreas
name: Kalmes, Thomas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Analysis of PDEs (math.AP)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 35G15, 35H10, 46F05, 46F20

description: We study ultradistributional boundary values of zero solutions of a hypoelliptic constant coefficient partial differential operator $P(D) = P(D_x, D_t)$ on $\mathbb{R}^{d+1}$. Our work unifies and considerably extends various classical results of Komatsu and Matsuzawa about boundary values of holomorphic functions, harmonic functions and zero solutions of the heat equation in ultradistribution spaces. We also give new proofs of several results of Langenbruch [23] about distributional boundary values of zero solutions of $P(D)$.
description: 31 pages
Additional file 1 of To adopt or adapt an existing neonatal core outcome set in Kenya: a study protocol
Creators: name: Karumbi, Jamlick
name: Gathara, David
name: Young, Bridget
name: Williamson, Paula
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Information Systems not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1. Interview guides.
Newton and Secant Methods for Iterative Remnant Control of Preisach Hysteresis Operators
Creators: name: Keulen, Jurrien
name: Jayawardhana, Bayu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We study the properties of remnant function, which is a function of output remnant versus amplitude of the input signal, of Preisach hysteresis operators. The remnant behavior (or the leftover memory when the input reaches zero) enables an energy-optimal application of piezoactuator systems where the applied electrical field can be removed when the desired strain/displacement has been attained. We show that when the underlying weight of Preisach operators is positive, the resulting remnant curve is monotonically increasing and accordingly a Newton and secant update laws for the iterative remnant control are proposed that allows faster convergence to the desired remnant value than the existing iterative remnant control algorithm in literature as validated by numerical simulation.
description: Accepted/inpress for LCSS
Robust quantum gates using smooth pulses and physics-informed neural networks
Creators: name: Güngördü, Utkan
name: Kestner, J. P.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The presence of decoherence in quantum computers necessitates the suppression of noise. Dynamically corrected gates via specially designed control pulses offer a path forward, but hardware-specific experimental constraints can cause complications. Existing methods to obtain smooth pulses are either restricted to two-level systems, require an optimization over noise realizations or limited to piecewise-continuous pulse sequences. In this work, we present the first general method for obtaining truly smooth pulses that minimizes sensitivity to noise, eliminating the need for sampling over noise realizations and making assumptions regarding the underlying statistics of the experimental noise. We parametrize the Hamiltonian using a neural network, which allows the use of a large number of optimization parameters to adequately explore the functional control space. We demonstrate the capability of our approach by finding smooth shapes which suppress the effects of noise within the logical subspace as well as leakage out of that subspace.
Manuscript_Final.rjf_appendix_C_online_supp – Supplemental material for Facts and Fears in Public Reporting: Patients’ Information Needs and Priorities When Selecting a Hospital for Cancer Care
Creators: name: Chimonas, Susan
name: Fortier, Elizabeth
name: Li, Diane G.
name: Lipitz-Snyderman, Allison
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Manuscript_Final.rjf_appendix_C_online_supp for Facts and Fears in Public Reporting: Patients’ Information Needs and Priorities When Selecting a Hospital for Cancer Care by Susan Chimonas, Elizabeth Fortier, Diane G. Li and Allison Lipitz-Snyderman in Medical Decision Making