cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Spectroscopic Neutron Imaging for Resolving Hydrogen Dynamics Changes in Battery Electrolytes
Creators: name: Ruiz, E. R. Carreón
name: Lee, J.
name: Damián, J. I. Márquez
name: Strobl, M.
name: Burca, G.
name: Woracek, R.
name: Cochet, M.
name: Ebert, M. -O.
name: Höltschi, L.
name: Kadletz, P. M.
name: Tremsin, A. S.
name: Winter, E.
name: Zlobinski, M.
name: Gubler, L.
name: Boillat, P.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: We present spectroscopic neutron imaging (SNI), a bridge between imaging and scattering techniques, for the analysis of hydrogenated molecules in lithium-ion cells. The scattering information of CHn-based organic solvents and electrolytes was mapped in two-dimensional space by investigating the wavelength-dependent property of hydrogen atoms through time-of-flight imaging. Our investigation demonstrates a novel approach to detect physical and chemical changes in hydrogenated liquids, which extends, but not limits, the use of SNI to relevant applications in electrochemical devices, e.g., the study of electrolytes in Li-ion batteries.
$\mathcal H$-Harmonic Bergman Projection on the Hyperbolic Ball
Creators: name: Üreyen, A. Ersin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Complex Variables (math.CV)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 47B34, 31C05

description: We determine precisely when the Bergman projection $P_β$ is bound\-ed from Lebesgue spaces $L^p_α$ to weighted Bergman spaces $\mathcal B^p_α$ of $\mathcal H$-harmonic functions on the hyperbolic ball, and verify a recent conjecture of M. Stoll. We obtain upper estimates for the reproducing kernel of the $\mathcal H$-harmonic Bergman space $\mathcal B^2_α$ and its partial derivatives. We also consider the projection from $L^\infty$ to the Bloch space $\mathcal B$ of $\mathcal H$-harmonic functions.
description: 31 pages
Magnetic skyrmions and skyrmion clusters in the helical phase of Cu$_2$OSeO$_3$
Creators: name: Müller, Jan
name: Rajeswari, Jayaraman
name: Huang, Ping
name: Murooka, Yoshie
name: Rønnow, Henrik M.
name: Carbone, Fabrizio
name: Rosch, Achim
Publisher: name: arXiv
Year: 2017
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Skyrmions are nanometric spin whirls that can be stabilized in magnets lacking inversion symmetry. The properties of isolated skyrmions embedded in a ferromagnetic background have been intensively studied. We show that single skyrmions and clusters of skyrmions can also form in the helical phase and investigate theoretically their energetics and dynamics. The helical background provides natural one-dimensional channels along which a skyrmion can move rapidly. In contrast to skyrmions in ferromagnets, the skymion-skyrmion interaction has a strong attractive component and thus skyrmions tend to form clusters with characteristic shapes. These clusters are directly observed in transmission electron microscopy measurements in thin films of Cu$_2$OSeO$_3$. Topological quantization, high mobility and the confinement of skyrmions in channels provided by the helical background may be useful for future spintronics devices.
description: 5 pages, 3 figures, 4 pages supplement
Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes
Creators: name: Sorokin, Artyom
name: Buzun, Nazar
name: Pugachev, Leonid
name: Burtsev, Mikhail
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In many sequential tasks, a model needs to remember relevant events from the distant past to make correct predictions. Unfortunately, a straightforward application of gradient based training requires intermediate computations to be stored for every element of a sequence. This requires to store prohibitively large intermediate data if a sequence consists of thousands or even millions elements, and as a result, makes learning of very long-term dependencies infeasible. However, the majority of sequence elements can usually be predicted by taking into account only temporally local information. On the other hand, predictions affected by long-term dependencies are sparse and characterized by high uncertainty given only local information. We propose MemUP, a new training method that allows to learn long-term dependencies without backpropagating gradients through the whole sequence at a time. This method can potentially be applied to any recurrent architecture. LSTM network trained with MemUP performs better or comparable to baselines while requiring to store less intermediate data.
Process for the production of copolymers, reactor of referred process and copolymers obtained
Creators: name: Chimamkpam, Emmanuel F.C.
name: Ferreira, Jose M.F.
Publisher: name: Zenodo
Year: 2012
Subjects: organic electronics
organic cryptography
organic semiconductors
copolymer
homopolymer
block copolymer
alternating copolymer
conducting copolymers
semiconducting copolymers
DNA
macromolecules
biomaterial
differential density
interfacial polymerization
energy technology
energy harvesting
nanomaterial
reactor
3D printing material
organic thin-film material
nanocomposites
solar energy materials
synthesis, characterization and application

description: Abstract: The invention relates to a differential density interfacial polymerization process for production of copolymers. In the process, two or more distinct monomer species with different densities are dissolved in a singular solvent to form one phase and are copolymerized at the interface between this solvent and another liquid or solid phase based on their divergent densities. The process is versatile for production of assorted kinds of macromolecular structures and organic-inorganic hybrids. A reactor for the process specifically provides for localized heating, pressurizing and stirring of each monomer specie layer, and accommodates for a 180 DEG rotation along the lateral axis, with a functional change of inlets and outlets upon this rotation; this capability provides for switching of positions between same set of monomer species, in relation to their distance from the interface, by exchanging of their solvent according to its density - positioned at the top or beneath another phase. Resumo: A invenção refere-se a um processo de polimerização interfacial de densidade diferencial para a produção de copolímeros. No processo, dois ou mais espécies monoméricas distintas com diferentes densidades São dissolvidos num solvente para formar uma singular fase e são copolimerizada na interface entre o solvente e um outro líquido ou fase sólida com base em suas diferentes densidades. O processo é versátil para a produção de variados tipos de estruturas macromoleculares e híbridos orgânico-inorgânicos. Um reator para o processo prevê especificamente para aquecimento localizado, pressurização localizado e agitação de cada espécie camada, e acomoda de 180º rotação ao longo do eixo lateral, com uma alteração funcional de entradas e saídas durante esta rotação, esta capacidade fornece para a comutação de posições entre o mesmo conjunto de espécie monómero, em relação à sua distância em relação a interface, através do intercâmbio de solvente em função da sua densidade posicionado na parte superior ou sob uma outra fase.
description: PT Patent : 106489 G
O SIGNIFICADO E AS FUNÇÕES DA CONSTITUIÇÃO NA ERA GLOBALIZADA
Creators: name: Santana, José Cláudio Pavão
Publisher: name: Zenodo
Year: 1999
Subjects: CONSTITUÇÃO
FETICHISMO CONSTITUCIONAL
GLOBALIZAÇÃO

description: CONFERÊNNCIA Aula Inaugural do Ano Letivo de 1999 da Escola Superior da Magistratura do Estado do Maranhão, em 18 de outubro de 1999.
Gradient-based Uncertainty for Monocular Depth Estimation
Creators: name: Hornauer, Julia
name: Belagiannis, Vasileios
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In monocular depth estimation, disturbances in the image context, like moving objects or reflecting materials, can easily lead to erroneous predictions. For that reason, uncertainty estimates for each pixel are necessary, in particular for safety-critical applications such as automated driving. We propose a post hoc uncertainty estimation approach for an already trained and thus fixed depth estimation model, represented by a deep neural network. The uncertainty is estimated with the gradients which are extracted with an auxiliary loss function. To avoid relying on ground-truth information for the loss definition, we present an auxiliary loss function based on the correspondence of the depth prediction for an image and its horizontally flipped counterpart. Our approach achieves state-of-the-art uncertainty estimation results on the KITTI and NYU Depth V2 benchmarks without the need to retrain the neural network. Models and code are publicly available at https://github.com/jhornauer/GrUMoDepth.
description: Accepted to ECCV 2022
Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks
Creators: name: Tang, Jingtao
name: Gao, Yuan
name: Lam, Tin Lun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Multiagent Systems (cs.MA)
subject: FOS: Computer and information sciences

description: For massive large-scale tasks, a multi-robot system (MRS) can effectively improve efficiency by utilizing each robot's different capabilities, mobility, and functionality. In this paper, we focus on the multi-robot coverage path planning (mCPP) problem in large-scale planar areas with random dynamic interferers in the environment, where the robots have limited resources. We introduce a worker-station MRS consisting of multiple workers with limited resources for actual work, and one station with enough resources for resource replenishment. We aim to solve the mCPP problem for the worker-station MRS by formulating it as a fully cooperative multi-agent reinforcement learning problem. Then we propose an end-to-end decentralized online planning method, which simultaneously solves coverage planning for workers and rendezvous planning for station. Our method manages to reduce the influence of random dynamic interferers on planning, while the robots can avoid collisions with them. We conduct simulation and real robot experiments, and the comparison results show that our method has competitive performance in solving the mCPP problem for worker-station MRS in metric of task finish time.
title: Improving Understanding of Overdose Trends in the United States  Using Multiple Surveillance Data Sources
Creators: name: Casillas, Shannon
Publisher: name: Georgia State University
Year: 2025

description:
The drug overdose crisis remains a public health concern in the United States; in 2022, over 109,000 persons died from a drug overdose. The overdose epidemic has been primarily fueled by opioids, with an estimated 75% of overdose deaths in 2022 having been opioid involved; in recent years, synthetic opioids, including illicitly manufactured fentanyls, are driving increases in overdose morbidity and mortality. Through the use of multiple data sources, surveillance of drug overdose trends can help to inform public health on the changing epidemic. Emergency department (ED) syndromic surveillance data, hospital billing/discharge data, emergency medical services (EMS) data, and national vital statistics data can each provide useful and complementary information on drug overdose trends. The three studies in this dissertation utilize one or more of these data sources to address a knowledge gap in the understanding of overdose trends.


The first study examined trends and usage of newly implemented ICD-10-CM discharge diagnosis codes for poisonings by fentanyl, tramadol, and other synthetic narcotics in ED syndromic surveillance data queried from the Centers for Disease Control and Preventions National Syndromic Surveillance Program BioSense platform the year prior to (October 2019September 2020) and after the code change (October 2020September 2021); data from EDs in 33 states and the District of Columbia were included. The second study compared trends in the counts and rates of nonfatal opioid-involved overdose encounters in EMS and ED data in nine states from 20202022. The third study examined the ratio of fatal to nonfatal overdoses involving all drugs, all opioids, synthetic opioids, heroin, or stimulants from 20102020 using vital statistics data to estimate fatal overdoses and hospital billing/discharge data to estimate the number of nonfatal overdoses treated in EDs.


The collective results of this dissertation project were to analyze ED, EMS, and national vital statistics data to advance scientific knowledge concerning nonfatal fentanyl-involved overdose surveillance, as well as enhancing understanding of EMS and ED data comparability for tracking opioid-involved overdose trends, and understanding the ratio of fatal to nonfatal overdoses by drug type. Altogether, study findings can be used to better understand the drug overdose crisis in the US and inform response and prevention efforts.
Imprint of quantum gravity in the dimension and fabric of spacetime
Creators: name: Amelino-Camelia, Giovanni
name: Calcagni, Gianluca
name: Ronco, Michele
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We here conjecture that two much-studied aspects of quantum gravity, dimensional flow and spacetime fuzziness, might be deeply connected. We illustrate the mechanism, providing first evidence in support of our conjecture, by working within the framework of multifractional theories, whose key assumption is an anomalous scaling of the spacetime dimension in the ultraviolet and a slow change of the dimension in the infrared. This sole ingredient is enough to produce a scale-dependent deformation of the integration measure with also a fuzzy spacetime structure. We also compare the multifractional correction to lengths with the types of Planckian uncertainty for distance and time measurements that was reported in studies combining quantum mechanics and general relativity heuristically. This allows us to fix two free parameters of the theory and leads, in one of the scenarios we contemplate, to a value of the ultraviolet dimension which had already found support in other quantum-gravity analyses. We also formalize a picture such that fuzziness originates from a fundamental discrete scale invariance at short scales and corresponds to a stochastic spacetime geometry.
description: 6 pages; v2: phenomenology section added
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting
Creators: name: Jiang, Juyong
name: Wu, Binqing
name: Chen, Ling
name: Zhang, Kai
name: Kim, Sunghun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Traffic forecasting is an essential problem in urban planning and computing. The complex dynamic spatial-temporal dependencies among traffic objects (e.g., sensors and road segments) have been calling for highly flexible models; unfortunately, sophisticated models may suffer from poor robustness especially in capturing the trend of the time series (1st-order derivatives with time), leading to unrealistic forecasts. To address the challenge of balancing dynamics and robustness, we propose TrendGCN, a new scheme that extends the flexibility of GCNs and the distribution-preserving capacity of generative and adversarial loss for handling sequential data with inherent statistical correlations. On the one hand, our model simultaneously incorporates spatial (node-wise) embeddings and temporal (time-wise) embeddings to account for heterogeneous space-and-time convolutions; on the other hand, it uses GAN structure to systematically evaluate statistical consistencies between the real and the predicted time series in terms of both the temporal trending and the complex spatial-temporal dependencies. Compared with traditional approaches that handle step-wise predictive errors independently, our approach can produce more realistic and robust forecasts. Experiments on six benchmark traffic forecasting datasets and theoretical analysis both demonstrate the superiority and the state-of-the-art performance of TrendGCN. Source code is available at https://github.com/juyongjiang/TrendGCN.
description: Accepted by CIKM 2023
Towards Searching for Entangled Photons in the CMB Sky
Creators: name: Chen, Jiunn-Wei
name: Dai, Shou-Huang
name: Maity, Debaprasad
name: Sun, Sichun
name: Zhang, Yun-Long
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We explore the possibility of detecting entangled photon pairs from cosmic microwave background or other cosmological sources coming from two patches of the sky. The measurements use two detectors with different photon polarizer directions. When two photon sources are separated by a large angle relative to the earth, such that each detector has only one photon source in its field of view, a null test of unentangled photons can be performed. The deviation from this unentangled background is, in principle, the signature of photon entanglement. To confirm whether the deviation is consistent with entangled photons, we derive a photon polarization correlation to compare with, similar to that in a Bell inequality measurement. However, since photon coincidence measurement cannot be used to discriminate unentangled cosmic photons, it is unlikely that the correlation expectation value alone can violate Bell inequality to provide the signature for entanglement.
description: 5 pages, 2 figure; references added, typos fixed. v3 revised version with more discussions on detection possibilities; added references.v4 published version in PRD
title: Annotated bibliography on snow drifting and its control
Creators: name: Gold, L. W.
Publisher: name: National Research Council of Canada. Division Of Building Research
Year: 1968

description: Drifting snow and its deposition is a familiar characteristic of the Canadian terrain. Its occurrence must be considered in the design, construction, and operation of many structures and transportation services.Although numerous studies have been made on drifting snow and its control, few of these have been of the nature that give directly to the engineer the information that he requires. This is a growing need for this information, much of which can be obtained through a review of the results of past investigations complemented, when necessary, with appropriate field and laboratory studies. This bibliography has been compiled as a step in this task and with the hope that it will aid and encourage the investigations that are required.
description: La poudrerie basse et ses congères forment un trait caractéristique typique du paysage canadien, dont la présence doit être prise en compte dans la conception, la construction et l'exploitation de nombreuses structures et de nombreux services de transport. Bien que plusieurs études aient été réalisées sur la poudrerie basse et sur le contrôle de ce phénomène climatique, peu d'entre elles ont été conçues pour procurer directement aux ingénieurs l'information qu'ils recherchent. Il existe un besoin grandissant pour ce type d'information, qui peut en majeure partie être obtenu par un examen des résultats des investigations passées, complété au besoin par des études sur le terrain et en laboratoire approprié. Cette bibliographie a été élaborée comme étape dans cette démarche, et nous espérons qu'elle aidera et favorisera les investigations qui sont requises à cet égard.
Lepton Flavor Violating $B\to K^*_2(1430)μ^{\pm}τ^{\mp}$ Decays
Creators: name: Kumbhakar, Suman
name: Sain, Ria
name: Vardani, Juhi
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: A number of measurements in decays induced by the semileptonic $b\to s$ and $b\to c$ transitions hint towards a possible role of new physics in both sectors. Motivated by these anomalies, we investigate the lepton flavor violating $B\to K^*_2 (1430)μ^{\pm}τ^{\mp}$ decays. We calculate the two-fold angular distribution of $B\to K^*_2\ell_1\ell_2$ decay in presence of vector, axial-vector, scalar and pseudo-scalar new physics interactions. We then compute the branching fraction and lepton forward-backward asymmetry in the framework of $U^{2/3}_1$ vector leptoquark which is a viable solution to the current $B$ anomalies. We find that the upper limits are $\mathcal{B}(B\to K^*_2μ^-τ^+)\leq 1.64\times 10^{-7}$ and $\mathcal{B}(B\to K^*_2μ^+τ^-)\leq 0.60\times 10^{-7}$ at $90\%$ C.L.
description: 17 pages, 2 figures, matches with published version
title: Electrocatalysis for the reduction of organic nitroarenes and inorganic nitrite
Creators: name: Stergiou, Athanasios
Publisher: name: University of Glasgow
Year: 2022

description: Electrochemistry is an emerging field in the physical sciences, covering a range of processes in a variety of areas. Whilst electrochemistry has been established in applications such as wastewater treatment and fuel production, there is a lot of room for growth in other fields. With the ever-increasing necessity of developing «green» processes to replace the traditional, non-environmentally friendly methods, electrocatalysis rises as a potential solution in many cases. The purpose of the work carried out in this thesis was to develop and examine electrocatalytic processes for the reduction of organic and inorganic substrates. In Chapter 1, we discuss the use of redox mediators in the concept of organic electrosynthesis and decoupled electrolysis. More specifically, we comprehensively cover the use of polyoxometalates as redox mediators in organic electrosynthesis as well as providing examples of decoupled processes involving organic substrates. We also discuss the use of Vanadium in decoupled water electrolysis, as it has been identified as a potentially effective redox mediator for organic electrosynthesis due to its redox chemistry. In Chapter 2, we cover the theory behind the techniques that are used throughout this thesis. With the theoretical background and recent advances in the field covered in Chapters 1 & 2, we then start the discussion of our experimental work, covered in Chapters 3-5. In Chapter 3, the development of a novel electrochemical process for the synthesis of various anilines, through the reduction of their corresponding nitrobenzenes, is discussed. By using phosphotungstic acid as the redox mediator (electro-catalyst) and controlling the applied potential in the electrochemical cell, we were able to provide a highly selective and clean electro-synthetic process. Our electrocatalytic route works in aqueous solution, at room temperature and pressure, where the electrons and protons required to reduce the nitrobenzenes are obtained from water. In Chapter 4, the scope of the process developed in Chapter 3 is massively expanded. Phosphotungstic acid mediated reduction of a variety of substituted nitroarenes, including potentially competing reducible groups and substrates that are difficult to reduce selectively by other means, was successfully performed. The performance of this method in terms of starting material conversion and product selectivity was also compared to the direct reduction at the electrode surface. In Chapter 5, we discuss our preliminary studies for the development of an electrocatalytic process for the selective multi-electron reduction of nitrite using iron porphyrins as electro-catalysts. Finally, we investigate the role of PCET in the catalytic process which we believe is crucial for the catalytic efficiency of the electrochemical process.
Lower bounds for negative moments of $ζ'(ρ)$
Creators: name: Gao, Peng
name: Zhao, Liangyi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: We establish lower bounds for the discrete $2k$-th moment of the derivative of the Riemann zeta function at nontrivial zeros for all $k<0$ under the Riemann hypothesis (RH) and the assumption that all zeros of $ζ(s)$ are simple.
description: 15 pages
WKB solutions of difference equations and reconstruction by the topological recursion
Creators: name: Marchal, Olivier
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Algebraic Geometry (math.AG)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: The purpose of this article is to analyze the connection between Eynard-Orantin topological recursion and formal WKB solutions of a $\hbar$-difference equation: $Ψ(x+\hbar)=\left(e^{\hbar\frac{d}{dx}}\right) Ψ(x)=L(x;\hbar)Ψ(x)$ with $L(x;\hbar)\in GL_2( (\mathbb{C}(x))[\hbar])$. In particular, we extend the notion of determinantal formulas and topological type property proposed for formal WKB solutions of $\hbar$-differential systems to this setting. We apply our results to a specific $\hbar$-difference system associated to the quantum curve of the Gromov-Witten invariants of $\mathbb{P}^1$ for which we are able to prove that the correlation functions are reconstructed from the Eynard-Orantin differentials computed from the topological recursion applied to the spectral curve $y=\cosh^{-1}\frac{x}{2}$. Finally, identifying the large $x$ expansion of the correlation functions, proves a recent conjecture made by B. Dubrovin and D. Yang regarding a new generating series for Gromov-Witten invariants of $\mathbb{P}^1$.
description: 41 pages, 2 figures, published version in Nonlinearity
Optimizing reliability, accuracy, and validity of three scan sampling intervals in the behavioral observations of slow growing broiler chickens
Creators: name: Cartoni Mancinelli, Alice
name: Trocino, Angela
name: Menchetti, Laura
name: Chiattelli, Diletta
name: Ciarelli, Claudia
name: Castellini, Cesare
name: Sturaro, Enrico
name: Berton, Marco
name: Dal Bosco, Alessandro
Publisher: name: Zenodo
Year: 2023

description: In the present study, we hypothesized that the length of the sampling interval could affect the results and, consequently, the conclusions drawn and the interpretations made about poultry behavior. Therefore, we evaluated the reliability, accuracy, and validity of three different sampling intervals (i.e., 10, 15, and 30 minutes) for the behavioral observations of broiler chickens.
Astropy Proposal for Enhancement 22: Astropy Affiliated Packages with pyOpenSci (APE 22)
Creators: name: Lim, Pey Lian
name: Wasser, Leah
name: Jamieson, William
name: Homeier, Derek
name: Günther, Hans Moritz
Publisher: name: Zenodo
Year: 2024

description: Since the early days of the Astropy Project, we had recognized the need to accommodate and develop an internal process for acknowledging Astropy Affiliated Packages (hereafter, for brevity, Affiliated) – packages that are developed outside of the core package, but interoperate with it and are extending its functionality. As our ecosystem thrives and grows, so does the wider scientific Python ecosystem, which resulted in similar processes like JOSS and pyOpenSci software peer review (hereafter, pyOpenSci). Between the two, while JOSS has existed longer, pyOpenSci is more closely aligned with what we already do with Astropy Affiliated Packages. This APE overhauls our existing Affiliated process to partner with pyOpenSci in order to share resources and gain wider exposure.
Decentralized Eigendecomposition for Online Learning over Graphs with Applications
Creators: name: Fan, Yufan
name: Trinh-Hoang, Minh
name: Ardic, Cemil Emre
name: Pesavento, Marius
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, the problem of decentralized eigenvalue decomposition of a general symmetric matrix that is important, e.g., in Principal Component Analysis, is studied, and a decentralized online learning algorithm is proposed. Instead of collecting all information in a fusion center, the proposed algorithm involves only local interactions among adjacent agents. It benefits from the representation of the matrix as a sum of rank-one components which makes the algorithm attractive for online eigenvalue and eigenvector tracking applications. We examine the performance of the proposed algorithm in two types of important application examples: First, we consider the online eigendecomposition of a sample covariance matrix over the network, with application in decentralized Direction-of-Arrival (DoA) estimation and DoA tracking applications. Then, we investigate the online computation of the spectra of the graph Laplacian that is important in, e.g., Graph Fourier Analysis and graph dependent filter design. We apply our proposed algorithm to track the spectra of the graph Laplacian in static and dynamic networks. Simulation results reveal that the proposed algorithm outperforms existing decentralized algorithms both in terms of estimation accuracy as well as communication cost.
GUP Corrected Casimir Wormholes in $f(Q)$ Gravity
Creators: name: Hassan, Zinnat
name: Ghosh, Sayantan
name: Sahoo, P. K.
name: Rao, V. Sree Hari
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We have presented systematically the effect of the Generalized Uncertainty Principle (GUP) in Casimir wormholes space-time in the recently proposed modified gravity, the so-called symmetric teleparallel gravity or $f(Q)$ gravity. Here $Q$ is the non-metricity scalar that drives the gravitation interaction. We consider two famous GUP relations, such as the Kempf, Mangano, and Mann (KMM) model and the Detournay, Gabriel, and Spindel (DGS) model, in our study. Besides this, we investigate with three different redshift functions under anisotropic fluid located at the throat. Further, we analyzed the obtained wormhole solutions with energy conditions, especially null energy conditions (NEC) at the throat of the wormhole, and encountered that some arbitrary quantity disrespects the classical energy conditions at the wormhole throat of radius $r_0$. Later, the ADM mass and the volume integral quantifier are also discussed to calculate the amount of exotic matter required near the wormhole throat. Additionally, we show the behavior of the equation of state parameters under the effect of GUP.
description: Revised version
On the classification of 2-solvable Frobenius Lie algebras
Creators: name: Diatta, Andre
name: Manga, Bakary
name: Mbaye, Ameth
Publisher: name: arXiv
Year: 2022
Subjects: subject: Differential Geometry (math.DG)
subject: Mathematical Physics (math-ph)
subject: Commutative Algebra (math.AC)
subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 17B05, 17B08, 15A27, 53A15, 53D15, 22E60, 17B60, 70G45, 16W25, 13B25

description: We discuss the classification of 2-solvable Frobenius Lie algebras. We prove that every 2-solvable Frobenius Lie algebra splits as a semidirect sum of an n-dimensional vector space V and an n-dimensional maximal Abelian subalgebra (MASA) of the full space of endomorphisms of V. We supply a complete classification of 2-solvable Frobenius Lie algebras corresponding to nonderogatory endomorphisms, as well as those given by maximal Abelian nilpotent subalgebras (MANS) of class 2, hence of Kravchuk signature (n-1,0,1). In low dimensions, we classify all 2-solvable Frobenius Lie algebras in general up to dimension 8. We correct and complete the classification list of MASAs of sl(4, R) by Winternitz and Zassenhaus. As a biproduct, we give a simple proof that every nonderogatory endormorphism of a real vector space admits a Jordan form and also provide a new characterization of Cartan subalgebras of sl(n, R).
description: V3: 26 pages, Latex. A few misprints corrected. To appear at Journal of Lie Theory
Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
Creators: name: Wu, Qing
name: Feng, Ruimin
name: Wei, Hongjiang
name: Yu, Jingyi
name: Zhang, Yuyao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In the present work, we propose a Self-supervised COordinate Projection nEtwork (SCOPE) to reconstruct the artifacts-free CT image from a single SV sinogram by solving the inverse tomography imaging problem. Compared with recent related works that solve similar problems using implicit neural representation network (INR), our essential contribution is an effective and simple re-projection strategy that pushes the tomography image reconstruction quality over supervised deep learning CT reconstruction works. The proposed strategy is inspired by the simple relationship between linear algebra and inverse problems. To solve the under-determined linear equation system, we first introduce INR to constrain the solution space via image continuity prior and achieve a rough solution. And secondly, we propose to generate a dense view sinogram that improves the rank of the linear equation system and produces a more stable CT image solution space. Our experiment results demonstrate that the re-projection strategy significantly improves the image reconstruction quality (+3 dB for PSNR at least). Besides, we integrate the recent hash encoding into our SCOPE model, which greatly accelerates the model training. Finally, we evaluate SCOPE in parallel and fan X-ray beam SVCT reconstruction tasks. Experimental results indicate that the proposed SCOPE model outperforms two latest INR-based methods and two well-popular supervised DL methods quantitatively and qualitatively.
description: 12 pages
The Hessian of quantized Ding functionals and its asymptotic behavior
Creators: name: Takahashi, Ryosuke
Publisher: name: arXiv
Year: 2017
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C25

description: We compute the Hessian of quantized Ding functionals and give an elementary proof for the convexity of quantized Ding functionals along Bergman geodesics from the view point of projective geometry. We study also the asymptotic behavior of the Hessian using the Berezin-Toeplitz quantization.
description: 13 pages, final version
title: Bibliography on strain gauges and their applications
Creators: name: Berwanger, C.
Publisher: name: National Research Council of Canada. Division Of Building Research
Year: 1968

description: During the summer of 1965, the author was engaged at the Division of Building Research, in the Building Structures Section, in a study of the literature on the use of electric resistance strain gauges on concretes. As a by-product of the work, this bibliography was compiled, originally for internal use. It was recently decided that, although it covers only the period from 1940 to 1964, it might be of value to others and should be made available in the DBR/NRC series of Bibliographies.
description: Au cours de l'été 1965, l'auteur prenait part, à la Division des recherches en bâtiment, Section des structures du bâtiment, à une étude de la documentation portant sur l'utilisation sur les bétons des jauges de contrainte à résistance électrique. Découlant de ces travaux, cette bibliographie a été établie, à l'origine pour fin d'utilisation à l'interne. Il a toutefois été décidé récemment que bien qu'elle ne couvre que la période allant de 1940 à 1964, elle pourrait néanmoins présenter un intérêt à d'autres personnes et devrait ainsi être disponible dans la série de bibliographies de la DRB/CNRC.
Self-healing of Trotter error in digital adiabatic state preparation
Creators: name: Kovalsky, Lucas K.
name: Calderon-Vargas, Fernando A.
name: Grace, Matthew D.
name: Magann, Alicia B.
name: Larsen, James B.
name: Baczewski, Andrew D.
name: Sarovar, Mohan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Adiabatic time evolution can be used to prepare a complicated quantum many-body state from one that is easier to synthesize and Trotterization can be used to implement such an evolution digitally. The complex interplay between non-adiabaticity and digitization influences the infidelity of this process. We prove that the first-order Trotterization of a complete adiabatic evolution has a cumulative infidelity that scales as $\mathcal O(T^{-2} δt^2)$ instead of $\mathcal O(T^2 δt^2)$ expected from general Trotter error bounds, where $δt$ is the time step and $T$ is the total time. This result suggests a self-healing mechanism and explains why, despite increasing $T$, infidelities for fixed-$δt$ digitized evolutions still decrease for a wide variety of Hamiltonians. It also establishes a correspondence between the Quantum Approximate Optimization Algorithm (QAOA) and digitized quantum annealing.
description: 5+ pages and Appendices
Strong photon antibunching effect in a double cavity optomechanical system with intracavity squeezed light
Creators: name: Amazioug, M.
name: Daoud, M.
name: Singh, S. K.
name: Asjad, M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study the behaviour of the second-order correlation function in a double cavity optomechanical system and a degenerate optical parametric amplifier (OPA) is placed in each cavity. The first cavity is additionally driven by a weak classical laser field. The occurrence of strong photon antibunching effect in these two coupled cavities is observed. For suitable values of optomechanical coupling strength as well as photon hopping process, the system can exhibit a very strong photon antibunching effect. Our study also shows that the unconventional photon blockade occurs in both coupling, i.e. the weak coupling as well as in the strong coupling regimes as compared to the conventional photon blockade which occurs only in the strong coupling regime. We get a very strong photon antibunching effect under the unconventional photon blockade mechanism than the conventional photon blockade mechanism. Our study can be also used for the generation of single photon in coupled nonlinear optomechanical systems.
description: 7 pages and 5 figures
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation
Creators: name: Yeh, Yu-Ying
name: Nagano, Koki
name: Khamis, Sameh
name: Kautz, Jan
name: Liu, Ming-Yu
name: Wang, Ting-Chun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Graphics (cs.GR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Given a portrait image of a person and an environment map of the target lighting, portrait relighting aims to re-illuminate the person in the image as if the person appeared in an environment with the target lighting. To achieve high-quality results, recent methods rely on deep learning. An effective approach is to supervise the training of deep neural networks with a high-fidelity dataset of desired input-output pairs, captured with a light stage. However, acquiring such data requires an expensive special capture rig and time-consuming efforts, limiting access to only a few resourceful laboratories. To address the limitation, we propose a new approach that can perform on par with the state-of-the-art (SOTA) relighting methods without requiring a light stage. Our approach is based on the realization that a successful relighting of a portrait image depends on two conditions. First, the method needs to mimic the behaviors of physically-based relighting. Second, the output has to be photorealistic. To meet the first condition, we propose to train the relighting network with training data generated by a virtual light stage that performs physically-based rendering on various 3D synthetic humans under different environment maps. To meet the second condition, we develop a novel synthetic-to-real approach to bring photorealism to the relighting network output. In addition to achieving SOTA results, our approach offers several advantages over the prior methods, including controllable glares on glasses and more temporally-consistent results for relighting videos.
description: To appear in ACM Transactions on Graphics (SIGGRAPH Asia 2022). 21 pages, 25 figures, 7 tables. Project page: https://research.nvidia.com/labs/dir/lumos/
title: Late breakdown behaviour of 72.5 kV vacuum interrupters during capacitive switching with a synthetic test method
Creators: name: Surges, Benjamin
Publisher: name: UNSPECIFIED
Year: 2022

description: The interruption of capacitive currents involves a demanding dielectric stress for high voltage vacuum interrupters. Dielectric breakdowns up to several hundreds of milliseconds after current interruption are possible, which may result in harmful voltage escalations. Additionally, high inrush currents prestress the vacuum interrupter especially during the energisation of capacitor banks. A synthetic test method is applied to study the late breakdown behaviour of vacuum interrupters of 72.5 kV rated voltage during capacitive switching. The first part of this work focuses on factorial experiments that are applied to determine the influence of different test circuit parameters on the breakdown behaviour in an efficient way. The results confirm the significant impact of inrush currents on the breakdown rate. However, a relevant effect of the other tested parameters, e.g. breaking current and arcing time, cannot be ascertained for the investigated range. In the second part of this work measured pre-breakdown phenomena are presented and discussed. While field emission currents are measured with a commonly applied sense resistor, the detection of charged microparticles is conducted by utilising a partial discharge measurement technique. With a contact stroke set to 38 mm field emission currents occur only rarely and only during the beginning of the recovery voltage with preceding late contact separation, when the full contact gap has not yet been established. For a reduced contact stroke of 20 mm high field emission currents can be present for long periods of time with magnitudes up to several tens of milliamperes. The phenomenon of self-limiting current pulses, often referred to as microdischarges, has also been observed repeatedly. Field emission currents and microdischarges are more likely to appear after the vacuum interrupter is stressed by an inrush current. However, the majority of breaking tests with late breakdowns include neither significant preceding field emission current nor microdischarges. Moreover, the mere presence of the highest field emission currents does not necessarily result in a disruptive discharge. This result supports the hypothesis that field emission at larger contact gaps has a negligible influence on the late breakdown behaviour. In the case of the microparticle detection measurement, a recurring current pulse pattern was detected that is likely to be linked to microparticles impacting with the contact surface. However, no correlation can be drawn between the frequency of occurrence of this pulse pattern and the occurrence of late breakdowns. Therefore, it is concluded that the breakdown process is not triggered by multiple microparticle collisions but rather by a singular event supplying sufficient energy for the release of electrons and gaseous matter for the fast development of dielectric breakdown inside the vacuum interrupter.
MPEC 2025-C32 : 2025 CU
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2025
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2025 CU

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Coherent oscillations inside a quantum manifold stabilized by dissipation
Creators: name: Touzard, S.
name: Grimm, A.
name: Leghtas, Z.
name: Mundhada, S. O.
name: Reinhold, P.
name: Heeres, R.
name: Axline, C.
name: Reagor, M.
name: Chou, K.
name: Blumoff, J.
name: Sliwa, K. M.
name: Shankar, S.
name: Frunzio, L.
name: Schoelkopf, R. J.
name: Mirrahimi, M.
name: Devoret, M. H.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Manipulating the state of a logical quantum bit usually comes at the expense of exposing it to decoherence. Fault-tolerant quantum computing tackles this problem by manipulating quantum information within a stable manifold of a larger Hilbert space, whose symmetries restrict the number of independent errors. The remaining errors do not affect the quantum computation and are correctable after the fact. Here we implement the autonomous stabilization of an encoding manifold spanned by Schroedinger cat states in a superconducting cavity. We show Zeno-driven coherent oscillations between these states analogous to the Rabi rotation of a qubit protected against phase-flips. Such gates are compatible with quantum error correction and hence are crucial for fault-tolerant logical qubits.
Learning Optimal Control of Synchronization in Networks of Coupled Oscillators using Genetic Programming-based Symbolic Regression
Creators: name: Gout, Julien
name: Quade, Markus
name: Shafi, Kamran
name: Niven, Robert K.
name: Abel, Markus
Publisher: name: arXiv
Year: 2016
Subjects: subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Systems and Control (eess.SY)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Networks of coupled dynamical systems provide a powerful way to model systems with enormously complex dynamics, such as the human brain. Control of synchronization in such networked systems has far reaching applications in many domains, including engineering and medicine. In this paper, we formulate the synchronization control in dynamical systems as an optimization problem and present a multi-objective genetic programming-based approach to infer optimal control functions that drive the system from a synchronized to a non-synchronized state and vice-versa. The genetic programming-based controller allows learning optimal control functions in an interpretable symbolic form. The effectiveness of the proposed approach is demonstrated in controlling synchronization in coupled oscillator systems linked in networks of increasing order complexity, ranging from a simple coupled oscillator system to a hierarchical network of coupled oscillators. The results show that the proposed method can learn highly-effective and interpretable control functions for such systems.
description: Submitted to nonlinear dynamics