cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Non-invertible flavor symmetries in magnetized extra dimensions
Creators: name: Kobayashi, Tatsuo
name: Otsuka, Hajime
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We discuss non-invertible symmetries in toroidal compactifications of higher dimensional Yang-Mills theory with magnetic fluxes, which can be regarded as an effective action of type IIB string theory with magnetized D-branes. Specifically, we derive fusion rules of discrete isometry operators, which are invariant under the $\mathbb{Z}_N$ orbifold twist. It turns out that degenerate chiral zero-modes non-trivially transform under the non-invertible symmetries in the context of quantum mechanics. Hence, non-invertible symmetries correspond to flavor symmetries of chiral zero modes and determine their flavor structure. We explicitly show the representations and selection rules of chiral zero modes on their wave functions. These zero modes may correspond to generations of quarks and leptons in four-dimensional low-energy effective field theory.
description: 35 pages
Aria à 10 in Discante : "Se non ardo alla tua face"
Creators: name: Monza, Carlo
name: Savioli, Lodovico
Publisher: name: [s.n.]
Year: 1771

description: Stimmen: Sopran [Temira] (soprano) + Bassinstrument ; Violine I (violino primo) ; Violine II (violino secondo) ; Viola I+II (alto viola prima et seconda/due viole) ; Bassinstrument (basso) ; Oboe I (oboe primo) ; Oboe II (oboe secondo) ; Horn I (corno primo in B) ; Horn I (im Altschlüssel notiert) (corno primo in alto viola) ; Horn II (corno secondo in B) ; Horn II (im Altschlüssel notiert) (corno secondo in alto viola)
description: Del Signore Monza ; [Text von Lodovico Savioli]
description: Aus der Oper "Aristo e Temira"
description: Italienisch
description: Verzeichnung=Description=Inventaire 2009 Übernahme Rekatalogis. AK UB durch Medea 2002-2005
description: Verzeichnung=Description=Inventaire Oktober 2021 HAN-Katalogisierungsregeln jpl
Aria à 9 (in Discante) : Con piu Stromentÿ : "Caro tu fosti e sei"
Creators: name: Monza, Carlo
name: Pariati, Pietro
Publisher: name: [s.n.]
Year: 1760

description: Stimmen: Sopran [Sesostri] (vocce) + Bassinstrument ; Violin I (violino primo) ; Violin II (violino secondo) ; Viola (viola) ; Bassinstrument (basso) ; Oboe I (oboe primo) ; Oboe II (oboe secondo) ; Horn I (corno primo) ; Horn I (im Altschlüssel notiert) (corno primo in alto viola) ; Horn II (corno secondo) ; Horn II (im Altschlüssel notiert) (corno secondo in alto viola)
description: Del Signore Carlo Monza ; [Text von Pietro Pariati]
description: Aus der Oper "Sesostri, re d’Egitto". Der Name auf der Singstimme bezieht sich auf der Sopran-Kastrat Giovanni Manzuoli, der bei den Aufführungen in Milano 1760 mitgewirkt hat
description: Italienisch
description: Verzeichnung=Description=Inventaire 2009 Übernahme Rekatalogis. AK UB durch Medea 2002-2005
description: Verzeichnung=Description=Inventaire September 2021 HAN-Katalogisierungsregeln jpl
ความเชื่อเกี่ยวกับเทพเจ้าที่มีอิทธิพลต่อชนชั้นนักรบและความสัมพันธ์นาย-บ่าวในนิยายสงครามสมัยกลางของญี่ปุ่น
Creators: name: สุวภา ธีรกิตติกุล
Publisher: name: สมาคมญี่ปุ่นศึกษาแห่งประเทศไทย
Year: 2019
Subjects: เฮะอิเกะ
โมะโนะงะตะริ
โซะงะ
กิเกะอิกิ
นะโมะโตะ
โนะ
โยะริโตะโมะ
เทพฮะชิมันดะอิโบะซะท์ซุ
ความเชื่อ
ความฝัน

description: วารสารเครือข่ายญี่ปุ่นศึกษา, 9, 2, 57-78
Exploration of Artificial Intelligence-oriented Power System Dynamic Simulators
Creators: name: Xiao, Tannan
name: Chen, Ying
name: Wang, Jianquan
name: Huang, Shaowei
name: Tong, Weilin
name: He, Tirui
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: With the rapid development of artificial intelligence (AI), it is foreseeable that the accuracy and efficiency of dynamic analysis for future power system will be greatly improved by the integration of dynamic simulators and AI. To explore the interaction mechanism of power system dynamic simulations and AI, a general design of an AI-oriented power system dynamic simulator is proposed, which consists of a high-performance simulator with neural network supportability and flexible external and internal application programming interfaces (APIs). With the support of APIs, simulation-assisted AI and AI-assisted simulation form a comprehensive interaction mechanism between power system dynamic simulations and AI. A prototype of this design is implemented and made public based on a highly efficient electromechanical simulator. Tests of this prototype are carried out under four scenarios including sample generation, AI-based stability prediction, data-driven dynamic component modeling, and AI-aided stability control, which prove the validity, flexibility, and efficiency of the design and implementation of the AI-oriented power system dynamic simulator.
description: 10 pages, 8 figures, 1 table. Accepted by Journal of Modern Power System and Clean Energy
Predictions for $h_c$ and $h_b$ production at the LHC
Creators: name: Biswal, Sudhansu S.
name: Mishra, Sushree S.
name: Mohanty, Monalisa
name: Sridhar, K.
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The production cross sections of $h_c$ and $h_b$, the ${}^1P_1$ quarkonia can be predicted in Non-Relativistic Quantum Chromodynamics (NRQCD) using heavy quark symmetry. Our study includes predictions for both the integrated cross-section and the transverse momentum ($p_T$) distribution of $h_c$ ($h_b$) production at the Large Hadron Collider (LHC), using the decay process $h_c (h_b) \rightarrow η_c (η_b) + γ$, $η_c (η_b) \rightarrow p \overline{p}$. We demonstrate substaintial discrepancies in integrated cross-section and the $p_T$ distribution of ${}^1P_1$ quarkonia production at the LHC using Colour-Singlet Model (CSM), NRQCD and modified NRQCD. Measuring these resonances at the LHC could discriminate between these models, thereby offering further insights into the dynamics of quarkonium production. In addition, we compare the recent LHCb data for the integrated cross-section of $h_c$ production at $\sqrt{s}$ = 13 TeV in the kinematic range 5.0 $<$ $p_T$ $<$ 20.0 GeV and 2.0 $<$ $y$ $<$ 4.0 with the theoretical predictions using NRQCD and modified NRQCD. Modified NRQCD gives an agreement with the recent LHCb experimental data.
description: 11 Pages, 4 figures, 1 Table
ตัวละครอมนุษย์กับวัฒนธรรมศึกษาในมังงะญี่ปุ่น
Creators: name: รัญวรัชญ์ กอบศิริธีร์วรา
Publisher: name: สมาคมญี่ปุ่นศึกษาแห่งประเทศไทย
Year: 2019
Subjects: มังงะญี่ปุ่น
เสน่ห์แบบเป็นอื่น
สภาวะแปลกแยก
ความเป็นอื่น
นิเวศสำนึก

description: วารสารเครือข่ายญี่ปุ่นศึกษา, 9, 2, 79-97
Trois Sonates progressives pour Violon & Alto : Composés et Dediés a Mr. Jean Mummelter : Oeuvre 12
Creators: name: Neubauer, Franz Christoph
name: Musikverlag Gombart
Publisher: name: Gombart et Comp.
Year: 1790

description: Stimmen: Violino, Alto (Viola)
description: par F. Neubaur
description: ReKat Juli 2022 UBS/1.7.2022/A100/rpf
Optimal Trace Distance and Fidelity Estimations for Pure Quantum States
Creators: name: Wang, Qisheng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Computational Complexity (cs.CC)
subject: Data Structures and Algorithms (cs.DS)
subject: Information Theory (cs.IT)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Measuring the distinguishability between quantum states is a basic problem in quantum information theory. In this paper, we develop optimal quantum algorithms that estimate both the trace distance and the (square root) fidelity between pure states to within additive error $\varepsilon$ using $Θ(1/\varepsilon)$ queries to their state-preparation circuits, quadratically improving the long-standing folklore $O(1/\varepsilon^2)$. At the heart of our construction, is an algorithmic tool for quantum square root amplitude estimation, which generalizes the well-known quantum amplitude estimation.
description: 31 pages, 2 figures, 2 algorithms
Passivity-Based Decentralized Criteria for Small-Signal Stability of Power Systems with Converter-Interfaced Generation
Creators: name: Dey, Kaustav
name: Kulkarni, Anil
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: With the increasing penetration of converter-interfaced distributed generation systems, it would be advantageous to specify local compliance criteria for these devices to ensure the small-signal stability of the interconnected system. Passivity of the device admittance, which is an example of a local criterion, has been used previously to avoid resonances between these devices and the lightly damped oscillatory modes of the network. Typical active and reactive power control strategies like droop control and virtual synchronous generator control inherently violate the passivity constraints on admittance at low frequencies, although this does not necessarily mean that the interconnected system will be unstable. Therefore, passivity of the admittance is unsuitable as a stability criterion for devices that are represented by their wide-band models. To overcome this problem, this paper proposes the use of criteria based on admittance at higher frequencies and an alternative transfer function at lower frequencies. The alternative representation uses active and reactive power and the derivatives of the polar components of voltage as interface variables. To allow for the separate analysis at low and high frequencies, the device dynamics should exhibit a slow-fast separation; this is proposed as an additional constraint. Adherence to the proposed criteria is not onerous and is easily verifiable through frequency response analysis.
Aria (Duetto) à 10 in Discante & Tenore : "Vespina mia perdono nata per me"
Creators: name: Paisiello, Giovanni
name: Chiari, Pietro
Publisher: name: [s.n.]
Year: 1766

description: Stimmen: Tenor (Giorgino) (tenore) + Bassinstrument ; Violine I (violino primo) (Bl. 2: Ecke fehlt) ; Violine II (violino secondo) ; Viola (alto viola/viola) ; Bassinstrument (basso) ; Flöte I oder Oboe I (flauto ò oboe primo) ; Flöte II oder Oboe II (flauto ò oboe secondo) ; Horn I (corno primo in B) ; Horn I (im Altschlüssel notiert) (corno primo in alto viola) ; Horn II (corno secondo in B) ; Horn II (im Altschlüssel notiert) (corno secondo in alto viola)
description: Del Signore Paesiello ; [Text nach Pietro Chiari]
description: Sopranstimme fehlt
description: Aus der Oper "La finte contesse" (1766) mit Text nach Pietro Chiaris "Il marchese villano". "Il marchese villano" wurde 1762 von Baldassare Galuppi vertont, bei der Aufführung von "Il marchese villano" in Wien 1767 wurde das Duett aber durch Paisiellos Version ersetzt. Der Sopran heisst im vorliegenden Exemplar 'Vespina' wie in "Il marchese villano", im Gegensatz zu 'Lenina' im Original von "La finte contesse".
description: Italienisch
description: Verzeichnung=Description=Inventaire 2009 Übernahme Rekatalogis. AK UB durch Medea 2002-2005
description: Verzeichnung=Description=Inventaire Oktober 2021 HAN-Katalogisierungsregeln jpl
การเตรียมพร้อมตลาดแรงงานในสังคมสูงอายุ: บทเรียนจากประเทศญี่ปุ่นสู่ประเทศไทย
Creators: name: ชัยรัตน์ นทีประสิทธิพร
Publisher: name: สมาคมญี่ปุ่นศึกษาแห่งประเทศไทย
Year: 2019
Subjects: สังคมสูงวัย
ประเทศญี่ปุ่น
ประเทศไทย
การเตรียมพร้อม
ตลาดแรงงาน

description: วารสารเครือข่ายญี่ปุ่นศึกษา, 9, 2, 98-116
Isoperimetric Bounds for Lower Order Eigenvalues
Creators: name: Fang, Fuquan
name: Xia, Changyu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35P15, 53C40, 58C40, 53C42

description: New isoperimetric inequalities for lower order eigenvalues of the Laplacian on closed hypersurfaces, of the biharmonic Steklov problems and of the Wentzell-Laplace on bounded domains in a Euclidean space are proven. Some open questions for further study are also proposed.
description: 19 pages
A finite volume coupled level set and volume of fluid method with a mass conservation step for simulating two-phase flows
Creators: name: Lyras, Konstantinos G.
name: Lee, Jack
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: This paper presents a finite volume method for simulating two-phase flows using a level set approach coupled with volume of fluid method capable of simulating sharp fluid interfaces. The efficiency of the method is a result of the fact that the interface is calculated in order to satisfy mass conservation with no explicit interface reconstruction step and the mass fluxes across cell-faces are corrected to respect the recovered volume fraction. The mass-conservation correction step proposed here, is utilised using an iterative algorithm which solves a reaction-diffusion equation for the mass correction of the level set. The re-sharpened volume fraction is used for the new volumetric fluxes at each cell which are calculated through the proposed algorithm that guarantees that they satisfy mass conservation. The algorithm is not limited in representing the interface with the 0.5-contour and is applicable for arbitrary polyhedral cells. Good accuracy and mass conservation are achieved when compared to other conservative approaches.
Overtura à 6 [D-Dur] : Con Violini, Corni da Caccia, Viola, e Basso
Creators: name: Nardini, Pietro
name: Kneusslin, Fritz
Publisher: name: [s.n.]
Year: 1760

description: Stimmen: Violine I (violino primo) ; Violine II (violino secondo) ; Viola (violetta) ; Bassinstrument (basso) (2 Ex.) ; Trompete/Horn I (tromba prima) ; Trompete/Horn II (tromba seconda)
description: del Signore Pietro Nardini
description: Verschieden von kr IV 195
description: Geschenk 1947 47.1688 Kneusslin Öffentliche Bibliothek der Universität Basel Partitur
description: Verzeichnung=Description=Inventaire 2009 Übernahme Rekatalogis. AK UB durch Medea 2002-2005
description: Verzeichnung=Description=Inventaire Oktober 2021 HAN-Katalogisierungsregeln jpl
description: Partitur nach den Stimmen hergestellt von Fritz Kneusslin um 1947
A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection
Creators: name: Dong, Yongqi
name: Patil, Sandeep
name: van Arem, Bart
name: Farah, Haneen
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Accurate and reliable lane detection is vital for the safe performance of lane-keeping assistance and lane departure warning systems. However, under certain challenging circumstances, it is difficult to get satisfactory performance in accurately detecting the lanes from one single image as mostly done in current literature. Since lane markings are continuous lines, the lanes that are difficult to be accurately detected in the current single image can potentially be better deduced if information from previous frames is incorporated. This study proposes a novel hybrid spatial-temporal (ST) sequence-to-one deep learning architecture. This architecture makes full use of the ST information in multiple continuous image frames to detect the lane markings in the very last frame. Specifically, the hybrid model integrates the following aspects: (a) the single image feature extraction module equipped with the spatial convolutional neural network; (b) the ST feature integration module constructed by ST recurrent neural network; (c) the encoder-decoder structure, which makes this image segmentation problem work in an end-to-end supervised learning format. Extensive experiments reveal that the proposed model architecture can effectively handle challenging driving scenes and outperforms available state-of-the-art methods.
description: 18 pages, 5 figures. Published by Computer-Aided Civil and Infrastructure Engineering (CACIE). Open access from https://doi.org/10.1111/mice.12829
Overtura à 6 [D-Dur] : Per Corni, Violini, Violetta e Basso
Creators: name: Nardini, Pietro
name: Refardt, Edgar
Publisher: name: [s.n.]
Year: 1760

description: Stimmen: Violine I (violino primo) ; Violine II (violino secondo) ; Viola (violetta) ; Bassinstrument (basso) (2 Ex.) ; Horn I (corno primo) ; Horn II (corno secondo)
description: Del Signore Pietro Nardini
description: Verschieden von kr IV 196
description: Geschenk 1950 *50.ab19 Öffentliche Bibliothek der Universität Basel Partitur
description: Verzeichnung=Description=Inventaire 2009 Übernahme Rekatalogis. AK UB durch Medea 2002-2005
description: Verzeichnung=Description=Inventaire Oktober 2021 HAN-Katalogisierungsregeln jpl
description: Partitur nach den Stimmen hergestellt von Edgar Refardt um 1950
Structural and Dynamic Properties of Solvated Hydroxide and Hydronium Ions in Water from Ab Initio Modeling
Creators: name: Liu, Renxi
name: Zhang, Chunyi
name: Liang, Xinyuan
name: Liu, Jianchuan
name: Wu, Xifan
name: Chen, Mohan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Predicting the asymmetric structure and dynamics of solvated hydroxide and hydronium in water has been a challenging task from ab initio molecular dynamics (AIMD). The difficulty mainly comes from a lack of accurate and efficient exchange-correlation functional in elucidating the amphiphilic nature and the ubiquitous proton transfer behaviors of the two ions. By adopting the strongly-constrained and appropriately normed (SCAN) meta-GGA functional in AIMD simulations, we systematically examine the amphiphilic properties, the solvation structures, the electronic structures, and the dynamic properties of the two water ions. In particular, we compare these results to those predicted by the PBE0-TS functional, which is an accurate yet computationally more expensive exchange-correlation functional. We demonstrate that the general-purpose SCAN functional provides a reliable choice in describing the two water ions. Specifically, in the SCAN picture of water ions, the appearance of the fourth and fifth hydrogen bonds near hydroxide stabilizes the pot-like shape solvation structure and suppresses the structural diffusion, while the hydronium stably donates three hydrogen bonds to its neighbors. As a result, hydroxide prefers the stepwise proton transfer (PT) while hydronium prefers the concerted PT behavior. Consequently, hydroxide diffuses slower than hydronium in water, which is consistent with the experiments.
description: 16 figures
Aria Duetto à 6 (in Discante) in due Soprani : "Quel volto amabile quel Core oh Dei"
Creators: name: Pérez, David
Publisher: name: [s.n.]
Year: 1760

description: Stimmen: 2 Soprane (due soprani) mit unterlegtem Bassinstrument ; Violine I (violino primo) ; Violine II (violino secondo) ; Viola (viola) ; Bassinstrument (basso)
description: Del Signore Perez
description: Italienisch
description: Verzeichnung=Description=Inventaire 2009 Übernahme Rekatalogis. AK UB durch Medea 2002-2005
description: Verzeichnung=Description=Inventaire Oktober 2021 HAN-Katalogisierungsregeln jpl
TFermion: A non-Clifford gate cost assessment library of quantum phase estimation algorithms for quantum chemistry
Creators: name: Casares, Pablo A. M.
name: Campos, Roberto
name: Martin-Delgado, M. A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum Phase Estimation is one of the most useful quantum computing algorithms for quantum chemistry and as such, significant effort has been devoted to designing efficient implementations. In this article, we introduce TFermion, a library designed to estimate the T-gate cost of such algorithms, for an arbitrary molecule. As examples of usage, we estimate the T-gate cost of a few simple molecules and compare the same Taylorization algorithms using Gaussian and plane-wave basis.
description: 37 pages, 9 figures, version accepted for publication in Quantum
Generalized entropy production in collisionless plasma flows and turbulence
Creators: name: Zhdankin, Vladimir
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Plasma Physics (physics.plasm-ph)
subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: Collisionless plasmas exhibit nonthermal particle distributions after being energized; as a consequence, they enter a state of low Boltzmann-Gibbs (BG) entropy relative to the thermal state. The Vlasov equations predict that in a collisionless plasma with closed boundaries, BG entropy is formally conserved, along with an infinite set of Casimir invariants; this provides a seemingly strong constraint that may explain how plasmas maintain low entropy. Nevertheless, it is commonly believed that entropy production is enabled by phase mixing or nonlinear entropy cascades. The question of whether such anomalous entropy production occurs, and of how to characterize it quantitatively, is a fundamental problem in plasma physics. We construct a new theoretical framework for characterizing entropy production (in a generalized sense) based on ideally conserved dimensional quantities derived from the Casimir invariants; these are referred to as ``Casimir momenta'' and they generalize BG entropy. The growth of Casimir momenta relative to the average particle momentum indicates entropy production. We apply this framework to quantify entropy production in particle-in-cell simulations of laminar flows and turbulent flows driven in relativistic plasma, where efficient nonthermal particle acceleration is enabled. We demonstrate that a large amount of anomalous entropy is produced by turbulence despite nonthermal features. These results have implications for reduced modeling of nonthermal particle acceleration and for diagnosing irreversible dissipation in collisionless plasmas such as the solar wind and Earth's magnetosphere. Dimensional representations of generalized entropy analogous to Casimir momenta may be useful for other problems in statistical physics.
description: 21 pages, 9 figures, accepted for publication in Physical Review X; abstract shortened
Corrupted bifractal features in finite uncorrelated power-law distributed data
Creators: name: Olivares, Felipe
name: Zanin, Massimiliano
Publisher: name: arXiv
Year: 2021
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: Multifractal Detrended Fluctuation Analysis stands out as one of the most reliable methods for unveiling multifractal properties, specially when real-world time series are under analysis. However, little is known about how several aspects, like artefacts during the data acquisition process, affect its results. In this work we have numerically investigated the performance of Multifractal Detrended Fluctuation Analysis applied to synthetic finite uncorrelated data following a power-law distribution in the presence of additive noise, and periodic and randomly-placed outliers. We have found that, on one hand, spurious multifractality is observed as a result of data finiteness, while additive noise leads to an underestimation of the exponents $h_q$ for $q<0$ even for low noise levels. On the other hand, additive periodic and randomly-located outliers result in a corrupted inverse multifractality around $q=0$. Moreover, the presence of randomly-placed outliers corrupts the entire multifractal spectrum, in a way proportional to their density. As an application, the multifractal properties of the time intervals between successive aircraft landings at three major European airports are investigated.
description: 17 pages, 11 figures, 2 tables
Clear evidence against superconductivity in hydrides under high pressure
Creators: name: Hirsch, J. E.
name: Marsiglio, F.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The Meissner effect, magnetic field expulsion, is a hallmark of superconductivity. Associated with it, superconductors exclude applied magnetic fields. Recently Minkov et al. presented experimental results reportedly showing "definitive evidence of the Meissner effect" in sulfur hydride and lanthanum hydride under high pressure [1], and more recently Eremets et al. argued that "the arguments against superconductivity (in hydrides) can be either refuted or explained" [2]. Instead, we show here that the evidence presented in those papers does not support the case for superconductivity in these materials. Together with experimental evidence discussed in earlier papers, we argue that this strongly suggests that hydrides under pressure are not high-temperature superconductors.
description: 10 pages 7 figures
มาตรการแก้ไขอัตราการเกิดต่ำของญี่ปุ่น: โครงการส่งเสริมการมีส่วนร่วมในงานบ้านและการเลี้ยงดูบุตรของผู้ชายญี่ปุ่น
Creators: name: ปิยวรรณ อัศวราชันย์
Publisher: name: สมาคมญี่ปุ่นศึกษาแห่งประเทศไทย
Year: 2019
Subjects: อัตราการเกิดต่ำ
การเลี้ยงดูบุตร
ผู้ชายญี่ปุ่น

description: วารสารเครือข่ายญี่ปุ่นศึกษา, 9, 2, 117-127
Learning Mean-Field Equations from Particle Data Using WSINDy
Creators: name: Messenger, Daniel A.
name: Bortz, David M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Numerical Analysis (math.NA)
subject: Dynamical Systems (math.DS)
subject: Optimization and Control (math.OC)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: We develop a weak-form sparse identification method for interacting particle systems (IPS) with the primary goals of reducing computational complexity for large particle number $N$ and offering robustness to either intrinsic or extrinsic noise. In particular, we use concepts from mean-field theory of IPS in combination with the weak-form sparse identification of nonlinear dynamics algorithm (WSINDy) to provide a fast and reliable system identification scheme for recovering the governing stochastic differential equations for an IPS when the number of particles per experiment $N$ is on the order of several thousand and the number of experiments $M$ is less than 100. This is in contrast to existing work showing that system identification for $N$ less than 100 and $M$ on the order of several thousand is feasible using strong-form methods. We prove that under some standard regularity assumptions the scheme converges with rate $\mathcal{O}(N^{-1/2})$ in the ordinary least squares setting and we demonstrate the convergence rate numerically on several systems in one and two spatial dimensions. Our examples include a canonical problem from homogenization theory (as a first step towards learning coarse-grained models), the dynamics of an attractive-repulsive swarm, and the IPS description of the parabolic-elliptic Keller-Segel model for chemotaxis.
การวิเคราะห์สำนวนคันจิประสม 4 ตัวอักษรที่มีตัวเลขในภาษาญี่ปุ่น
Creators: name: นภสินธุ์ แผลงศร
Publisher: name: สมาคมญี่ปุ่นศึกษาแห่งประเทศไทย
Year: 2019
Subjects: สำนวนคันจิประสม 4 ตัวอักษรภาษาญี่ปุ่น
ความหมายแฝงของตัวเลข
ลักษณะทั่วไปของสำนวน
การปรากฏของคำในสำนวน
ลักษณะการซ้ำในสำนวน

description: วารสารเครือข่ายญี่ปุ่นศึกษา, 9, 2, 128-141
การเปรียบเทียบลักษณะทางกลสัทศาสตร์ของสระเสียงสั้นและสระเสียงยาวภาษาญี่ปุ่นที่ออกเสียงโดยผู้เรียนภาษาญี่ปุ่นชาวไทยใน 3 จังหวัดชายแดนภาคใต้ที่มีภาษาแม่แตกต่างกันกรณีศึกษาจังหวัดปัตตานี
Creators: name: ชัยยศ รองเดช
Publisher: name: สมาคมญี่ปุ่นศึกษาแห่งประเทศไทย
Year: 2019
Subjects: สระเสียงสั้นและสระเสียงยาวภาษาญี่ปุ่น
ผู้เรียนภาษาญี่ปุ่นชาวไทย 3 จังหวัดชายแดนภาคใต้
ค่าความถี่ฟอร์เมินต์
ค่าระยะเวลา

description: วารสารเครือข่ายญี่ปุ่นศึกษา, 9, 2, 142-162
Hybrid-mode-family Kerr optical parametric oscillation for robust coherent light generation on chip
Creators: name: Zhou, Feng
name: Lu, Xiyuan
name: Rao, Ashutosh
name: Stone, Jordan
name: Moille, Gregory
name: Perez, Edgar
name: Westly, Daron
name: Srinivasan, Kartik
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Optical parametric oscillation (OPO) using the third-order nonlinearity ($χ^{(3)}$) in integrated photonics platforms is an emerging approach for coherent light generation, and has shown great promise in achieving broad spectral coverage with small device footprints and at low pump powers. However, current $χ^{(3)}$ nanophotonic OPO devices use pump, signal, and idler modes of the same transverse spatial mode family. As a result, such single-mode-family OPO (sOPO) is inherently sensitive in dispersion and can be challenging to scalably fabricate and implement. In this work, we propose to use different families of transverse spatial modes for pump, signal, and idler, which we term as hybrid-mode-family OPO (hOPO). We demonstrate its unprecedented robustness in dispersion versus device geometry, pump frequency, and temperature. Moreover, we show the capability of the hOPO scheme to generate a few milliwatts of output signal power with a power conversion efficiency of approximately 8 $\%$ and without competitive processes. The hOPO scheme is an important counterpoint to existing sOPO approaches, and is particularly promising as a robust method to generate coherent on-chip visible and infrared light sources.
description: 11 pages, 7 figures
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
Creators: name: Chapman, Avraham
name: Xu, Haiming
name: Liu, Lingqiao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Training a fine-grained image recognition model with limited data presents a significant challenge, as the subtle differences between categories may not be easily discernible amidst distracting noise patterns. One commonly employed strategy is to leverage pretrained neural networks, which can generate effective feature representations for constructing an image classification model with a restricted dataset. However, these pretrained neural networks are typically trained for different tasks than the fine-grained visual recognition (FGVR) task at hand, which can lead to the extraction of less relevant features. Moreover, in the context of building FGVR models with limited data, these irrelevant features can dominate the training process, overshadowing more useful, generalizable discriminative features. Our research has identified a surprisingly simple solution to this challenge: we introduce a regularization technique to ensure that the magnitudes of the extracted features are evenly distributed. This regularization is achieved by maximizing the uniformity of feature magnitude distribution, measured through the entropy of the normalized features. The motivation behind this regularization is to remove bias in feature magnitudes from pretrained models, where some features may be more prominent and, consequently, more likely to be used for classification. Additionally, we have developed a dynamic weighting mechanism to adjust the strength of this regularization throughout the learning process. Despite its apparent simplicity, our approach has demonstrated significant performance improvements across various fine-grained visual recognition datasets.
Theory of charge stability diagrams in coupled quantum dot qubits
Creators: name: Foulk, Nathan L.
name: Sarma, Sankar Das
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We predict large regions of the charge stability diagram using a multi-band and multi-electron configuration interaction model of a double quantum dot system. We account for many-body interactions within each quantum dot using full configuration interaction and solve for single-particle density operators. This allows charge states to be predicted more accurately than the extensively used classical capacitance model or the single-band Hubbard model. The resulting single-particle mixed states then serve as inputs into an atomic orbital picture that allows for the explicit calculation of the underlying Hubbard model parameters by performing the appropriate integrals. This numerical approach allows for arbitrary choices of electrostatic potential and gate geometry. A common assumption when calculating charge stability diagrams from the Hubbard model is that the charge stability diagrams are periodic, but we find that the tunnel couplings for valence electrons in dots with $N=3$ electrons are significantly enhanced when compared to single-electron dots. This difference is apparent in the charge stability diagram for higher occupancy Coulomb diamonds. We also quantitatively explore how the barrier gate strength and dot pitch impact this behavior. Our work should help improve the future realistic modeling of semiconductor-dot-based quantum circuits.
description: Published version. 13 pages, 13 figures
Vývoj vedeckej komunikácie, Open Access a Open Science (EIZ pre STU)
Creators: name: Stožická, Zuzana
name: Horáková, Silvia
Publisher: name: Zenodo
Year: 2020
Subjects: research communication
open science
open access

description: Prezentácia z webinára pre STU o vývoji vedeckej komunikácie, Open Access a Open Science.
Observed Fluctuation Enhancement and Departure from WKB Theory in Sub-Alfvénic Solar Wind
Creators: name: Ruffolo, David
name: Thepthong, Panisara
name: Pongkitiwanichakul, Peera
name: Roy, Sohom
name: Pecora, Francesco
name: Bandyopadhyay, Riddhi
name: Chhiber, Rohit
name: Usmanov, Arcadi V.
name: Stevens, Michael
name: Badman, Samuel
name: Romeo, Orlando
name: Wang, Jiaming
name: Goodwill, Joshua
name: Goldstein, Melvyn L.
name: Matthaeus, William H.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Plasma Physics (physics.plasm-ph)
subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: Using Parker Solar Probe data from orbits 8 through 17, we examine fluctuation amplitudes throughout the critical region where the solar wind flow speed approaches and then exceeds the Alfvén wave speed, taking account of various exigencies of the plasma data. In contrast to WKB theory for non-interacting Alfvén waves streaming away from the Sun, the magnetic and kinetic fluctuation energies per unit volume are not monotonically decreasing. Instead, there is clear violation of conservation of standard WKB wave action, which is consistent with previous indications of strong in-situ fluctuation energy input in the solar wind near the Alfvén critical region. This points to strong violations of WKB theory due to nonlinearity (turbulence) and major energy input near the critical region, which we interpret as likely due to driving by large-scale coronal shear flows.
A physical perspective on lithium therapy
Creators: name: Kamp, Dana
Publisher: name: arXiv
Year: 2024
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Medical Physics (physics.med-ph)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Lithium salts have strong medical properties in neurological disorders such as bipolar disorder and lithium-responsive headaches. They have recently gathered attention due to their potential preventive effect in viral infections. Though the therapeutic effect of lithium was documented by Cade in the late 1940s, its underlying mechanism of action is still disputed. Acute lithium exposure has an activating effect on excitable organic tissue and organisms, and is highly toxic. Lithium exposure is associated with a strong metabolic response in the organism, with large changes in phospholipid and cholesterol expression. Opposite to acute exposure, this metabolic response alleviates excessive cellular activity.
 The presence of lithium ions strongly affects lipid conformation and membrane phase unlike other alkali ions, with consequences for membrane permeability, buffer property and excitability. This review investigates how lithium ions affect lipid membrane composition and function, and how lithium response might in fact be the body's attempt to counteract the physical presence of lithium ions at cell level. Ideas for further research in microbiology and drug development are discussed.
description: 37 pages (10640 words), 8 figures. Open Access
FPGA-based electronic system for the control and readout of superconducting quantum processors
Creators: name: Yang, Yuchen
name: Shen, Zhongtao
name: Zhu, Xing
name: Wang, Ziqi
name: Zhang, Gengyan
name: Zhou, Jingwei
name: Jiang, Xun
name: Deng, Chunqing
name: Liu, Shubin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: Electronic systems for qubit control and measurement serve as a bridge between quantum programming language and quantum information processors. With the rapid development of superconducting quantum circuit (SQC) technology, synchronization in a large-scale system, low-latency execution, and low noise are required for electronic systems. Here, we present a field-programmable gate array (FPGA)-based electronic system with a distributed synchronous clock and trigger architecture. The system supports synchronous control of qubits with jitters of approximately 5 ps. We implement a real-time digital signal processing system in the FPGA, enabling precise timing control, arbitrary waveform generation, IQ demodulation for qubit state discrimination, and the generation of real-time qubit-state-dependent trigger signals for feedback/feedforward control. The hardware and firmware low-latency design reduces the feedback/feedforward latency of the electronic system to 125 ns, significantly less than the decoherence times of the qubit. Finally, we demonstrate the functionalities and low-noise performance of this system using a fluxonium quantum processor.
Digitale Schnittstellen zwischen Staat und Zivilgesellschaft
Creators: name: Haas, Claudia
Publisher: name: Zenodo
Year: 2020
Subjects: open innovation
Engagement
Zivilgesellschaft
Ehrenamt
Open data
Civic tech
Jugend
Digitale Medien
citizen engagement
citizen participation
collaboration
citizen sourcing
open source

description: Im Zuge der Digitalisierung hat sich auch die kommunikative Beziehung zwischen den verschiedenen Institutionen des Staates und der Zivilgesellschaft verändert. Das ehrenamtliche Engagement von Bürger*innen setzt oft genau dort an, wo kommerzielle oder staatliche Angebote aufhören. An dieser Schnittstelle zwischen Staat und Zivilgesellschaft ergeben sich mittels digitaler Technologien zunehmend neue Möglichkeiten des Engagements. Die digitale Transformation baut Barrieren ab, indem sie den Zugang zu vielen Informationen und Beteiligungsmöglichkeiten vereinfacht. Beobachten lassen sich im Netz verschiedene Formen der Begegnung, des kollaborativen Austauschs sowie der Zusammenarbeit, beispielsweise bei der Stadtplanung. Ebenso entstehen Plattformen, die die Zivilgesellschaft dabei unterstützen sollen, demokratische Rechte wahrzunehmen. Initiativen aus dem Bereich des gemeinnützigen Journalismus bieten eine Berichterstattung, die allein gemeinnützige, soziale, kulturelle oder wissenschaftliche Interessen verfolgt.
Neutral particle collisions near Gibbons-Maeda-Garfinkle-Horowitz-Strominger black holes after shadow observations
Creators: name: Tsukamoto, Naoki
name: Kase, Ryotaro
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: A Gibbons-Maeda-Garfinkle-Horowitz-Strominger (GMGHS) black hole with a magnetic charge (or an electric charge) has noteworthy features that its scalar curvature near the event horizon of the black hole with the almost maximal charge can be extremely large. The large curvature, which is related with the gravity on a finite-sized object or between two points, causes high center-of-mass energy for two neutral particles near the almost maximally charged GMGHS black hole. Recently, the Event Horizon Telescope Collaboration gave the bound on the charge of black holes from the shadow and mass observations of black holes under an assumption that the diameter of observed rings are proportion to that of photon spheres. The photon sphere would be less related with the curvature, since it is determined by the behavior of one photon or one ray neither two photons nor two rays. Thus, the high-energy neutral particle collision and the black hole shadow observations would be complementary to distinguish the GMGHS black hole from other black hole solutions. In this paper, we investigate a new way to compare the center-of-mass energy for neutral particle collisions in the GMGHS spacetime and other black hole spacetimes. From the shadow observations and the mass observations under the assumptions on the effect of black hole charges, we can put constraints on the center-of-mass energy of the particles. We apply our method to shadow and mass observations of M87* and Sagittarius A*. We find that the center-of-mass energy of neutral particles near the GMGHS black holes cannot be extremely large under the observational constraints, and conclude that the GMGHS spacetimes are hardly distinguishable from the Reissner-Nordström spacetimes by the particle collisions if we apply the shadow and mass observations at $1 σ$ probability.
description: 15 pages, 7 figures, minor correction, accepted for publication in Physical Review D
Geometric approach to Lieb-Schultz-Mattis theorem without translation symmetry under inversion or rotation symmetry
Creators: name: Yao, Yuan
name: Furusaki, Akira
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose a geometric {approach to Lieb-Schultz-Mattis theorem for} quantum many-body systems with discrete spin-rotation symmetries and lattice inversion or rotation symmetry, but without translation symmetry assumed. Under symmetry-twisting on a $(d-1)$-dimensional plane, we find that any $d$-dimensional inversion-symmetric spin system possesses a doubly degenerate spectrum when it hosts a half-integer spin at the inversion-symmetric point. We also show that any rotation-symmetric generalized spin model with a projective representation at the rotation center has a similar degeneracy under symmetry-twisting. We argue that these degeneracies imply that {a unique symmetric gapped ground state that is smoothly connected to product states} is forbidden in the original untwisted systems -- generalized inversional/rotational Lieb-Schultz-Mattis theorems without lattice translation symmetry imposed. The traditional Lieb-Schultz-Mattis theorems with translations also fit in the proposed framework.
description: 6 pages, 7 figures
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
Creators: name: Pisacane, Alexei
name: Darvariu, Victor-Alexandru
name: Musolesi, Mirco
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Multiagent Systems (cs.MA)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Graph path search is a classic computer science problem that has been recently approached with Reinforcement Learning (RL) due to its potential to outperform prior methods. Existing RL techniques typically assume a global view of the network, which is not suitable for large-scale, dynamic, and privacy-sensitive settings. An area of particular interest is search in social networks due to its numerous applications. Inspired by seminal work in experimental sociology, which showed that decentralized yet efficient search is possible in social networks, we frame the problem as a collaborative task between multiple agents equipped with a limited local view of the network. We propose a multi-agent approach for graph path search that successfully leverages both homophily and structural heterogeneity. Our experiments, carried out over synthetic and real-world social networks, demonstrate that our model significantly outperforms learned and heuristic baselines. Furthermore, our results show that meaningful embeddings for graph navigation can be constructed using reward-driven learning.
Nonlinear Reduced DNN Models for State Estimation
Creators: name: Dahmen, Wolfgang
name: Wang, Min
name: Wang, Zhu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We propose in this paper a data driven state estimation scheme for generating nonlinear reduced models for parametric families of PDEs, directly providing data-to-state maps, represented in terms of Deep Neural Networks. A major constituent is a sensor-induced decomposition of a model-compliant Hilbert space warranting approximation in problem relevant metrics. It plays a similar role as in a Parametric Background Data Weak framework for state estimators based on Reduced Basis concepts. Extensive numerical tests shed light on several optimization strategies that are to improve robustness and performance of such estimators.
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
Creators: name: Alghunaim, Sulaiman A.
name: Yuan, Kun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: We study the consensus decentralized optimization problem where the objective function is the average of $n$ agents private non-convex cost functions; moreover, the agents can only communicate to their neighbors on a given network topology. The stochastic learning setting is considered in this paper where each agent can only access a noisy estimate of its gradient. Many decentralized methods can solve such problem including EXTRA, Exact-Diffusion/D$^2$, and gradient-tracking. Unlike the famed DSGD algorithm, these methods have been shown to be robust to the heterogeneity across the local cost functions. However, the established convergence rates for these methods indicate that their sensitivity to the network topology is worse than DSGD. Such theoretical results imply that these methods can perform much worse than DSGD over sparse networks, which, however, contradicts empirical experiments where DSGD is observed to be more sensitive to the network topology. In this work, we study a general stochastic unified decentralized algorithm (SUDA) that includes the above methods as special cases. We establish the convergence of SUDA under both non-convex and the Polyak-Lojasiewicz condition settings. Our results provide improved network topology dependent bounds for these methods (such as Exact-Diffusion/D$^2$ and gradient-tracking) compared with existing literature. Moreover, our results show that these methods are often less sensitive to the network topology compared to DSGD, which agrees with numerical experiments.