cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Chaos and complexity in the dynamics of nonlinear Alfvén waves in a magnetoplasma
Creators: name: Roy, S.
name: Roy, A.
name: Misra, A. P.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: The nonlinear dynamics of circularly polarized dispersive Alfv{é}n wave (AW) envelopes coupled to the driven ion sound waves of plasma slow response is studied in a uniform magnetoplasma. By restricting the wave dynamics to a few number of harmonic modes, a low-dimensional dynamical model is proposed to describe the nonlinear wave-wave interactions. It is found that two subintervals of the wave number of modulation $k$ of AW envelope exists, namely $(3/4)k_c
description: 15 pages, 8 figures, 1 table; The revised version to appear in Chaos: An Interdisciplinary Journal of Nonlinear Science (2023)
Rethinking Cooking State Recognition with Vision Transformers
Creators: name: Khan, Akib Mohammed
name: Ashrafee, Alif
name: Sayera, Reeshoon
name: Ivan, Shahriar
name: Ahmed, Sabbir
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: To ensure proper knowledge representation of the kitchen environment, it is vital for kitchen robots to recognize the states of the food items that are being cooked. Although the domain of object detection and recognition has been extensively studied, the task of object state classification has remained relatively unexplored. The high intra-class similarity of ingredients during different states of cooking makes the task even more challenging. Researchers have proposed adopting Deep Learning based strategies in recent times, however, they are yet to achieve high performance. In this study, we utilized the self-attention mechanism of the Vision Transformer (ViT) architecture for the Cooking State Recognition task. The proposed approach encapsulates the globally salient features from images, while also exploiting the weights learned from a larger dataset. This global attention allows the model to withstand the similarities between samples of different cooking objects, while the employment of transfer learning helps to overcome the lack of inductive bias by utilizing pretrained weights. To improve recognition accuracy, several augmentation techniques have been employed as well. Evaluation of our proposed framework on the `Cooking State Recognition Challenge Dataset' has achieved an accuracy of 94.3%, which significantly outperforms the state-of-the-art.
description: Accepted in 25th ICCIT (6 pages, 5 Figures, 5 Tables)
Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning
Creators: name: Kamal, Minhaz
name: Shaiara, Fairuz
name: Abdullah, Chowdhury Mohammad
name: Ahmed, Sabbir
name: Ahmed, Tasnim
name: Kabir, Md. Hasanul
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Handwriting Recognition has been a field of great interest in the Artificial Intelligence domain. Due to its broad use cases in real life, research has been conducted widely on it. Prominent work has been done in this field focusing mainly on Latin characters. However, the domain of Arabic handwritten character recognition is still relatively unexplored. The inherent cursive nature of the Arabic characters and variations in writing styles across individuals makes the task even more challenging. We identified some probable reasons behind this and proposed a lightweight Convolutional Neural Network-based architecture for recognizing Arabic characters and digits. The proposed pipeline consists of a total of 18 layers containing four layers each for convolution, pooling, batch normalization, dropout, and finally one Global average pooling and a Dense layer. Furthermore, we thoroughly investigated the different choices of hyperparameters such as the choice of the optimizer, kernel initializer, activation function, etc. Evaluating the proposed architecture on the publicly available 'Arabic Handwritten Character Dataset (AHCD)' and 'Modified Arabic handwritten digits Database (MadBase)' datasets, the proposed model respectively achieved an accuracy of 96.93% and 99.35% which is comparable to the state-of-the-art and makes it a suitable solution for real-life end-level applications.
description: Accepted in 25th ICCIT (6 pages, 4 tables, 4 figures)
Effect of a High-Precision Semi-Analytical Mass Function on the Merger Rate of Primordial Black Holes in Dark Matter Halos
Creators: name: Fakhry, Saeed
name: Del Popolo, Antonino
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this work, we study the effect of a high-precision semianalytical mass function on the merger rate of primordial black holes (PBHs) in dark matter halos. For this purpose, we first explain a theoretical framework for dark matter halo models and introduce relevant quantities such as halo density profile, concentration parameter, and a high-precision semianalytical function namely Del Popolo (DP) mass function. In the following, we calculate the merger rate of PBHs in the framework of ellipsoidal-collapse dark matter halo models while considering the DP mass function, and compare it with our previous study for the Sheth-Tormen (ST) mass function. The results show that by taking the mass of PBHs as $M_{\rm PBH} = 30M_{\odot}$, the DP mass function can potentially amplify the merger rate of PBHs. Moreover, we calculate the merger rate of PBHs for the DP mass function as a function of their mass and fraction and compare it with the black hole mergers recorded by the LIGO-Virgo detectors during the latest observing run. Our findings show that the merger rate of PBHs will fall within the LIGO-Virgo band if $f_{\rm PBH} \gtrsim \mathcal{O}(10^{-1})$. This implies that the DP mass function can be used to strengthen constraints on the fraction of PBHs.
description: 11 pages, 4 figures, 1 table, accepted version
Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh
Creators: name: Alamgir, Refaat Mohammad
name: Shuvro, Ali Abir
name: Mushabbir, Mueeze Al
name: Raiyan, Mohammed Ashfaq
name: Rani, Nusrat Jahan
name: Rahman, Md. Mushfiqur
name: Kabir, Md. Hasanul
name: Ahmed, Sabbir
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The task of locating and classifying different types of vehicles has become a vital element in numerous applications of automation and intelligent systems ranging from traffic surveillance to vehicle identification and many more. In recent times, Deep Learning models have been dominating the field of vehicle detection. Yet, Bangladeshi vehicle detection has remained a relatively unexplored area. One of the main goals of vehicle detection is its real-time application, where `You Only Look Once' (YOLO) models have proven to be the most effective architecture. In this work, intending to find the best-suited YOLO architecture for fast and accurate vehicle detection from traffic images in Bangladesh, we have conducted a performance analysis of different variants of the YOLO-based architectures such as YOLOV3, YOLOV5s, and YOLOV5x. The models were trained on a dataset containing 7390 images belonging to 21 types of vehicles comprising samples from the DhakaAI dataset, the Poribohon-BD dataset, and our self-collected images. After thorough quantitative and qualitative analysis, we found the YOLOV5x variant to be the best-suited model, performing better than YOLOv3 and YOLOv5s models respectively by 7 & 4 percent in mAP, and 12 & 8.5 percent in terms of Accuracy.
description: Accepted in 25th ICCIT (6 pages, 5 figures, 1 table)
The Higgs boson mass and SUSY spectra in 10D SYM theory with magnetized extra dimensions
Creators: name: Abe, Hiroyuki
name: Kawamura, Junichiro
name: Sumita, Keigo
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the Higgs boson mass and the spectrum of supersymmetric (SUSY) particles in the well-motivated particle physics model derived from a ten-dimensional supersymmetric Yang-Mills theory compactified on three factorizable tori with magnetic fluxes. This model was proposed in a previous work, where the flavor structures of the standard model including the realistic Yukawa hierarchies are obtained from non-hierarchical input parameters on the magnetized background. Assuming moduli- and anomaly-mediated contributions dominate the soft SUSY breaking terms, we study the precise SUSY spectra and analyze the Higgs boson mass in this mode, which are compared with the latest experimental data.
description: 22 pages, 6 figures; v.2: references added
Nature of Orbital and Spin Rashba Coupling in the Surface Bands of SrTiO3 and KTaO3
Creators: name: Kim, Panjin
name: Kang, Kyeong Tae
name: Han, Jung Hoon
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Tight-binding models for the recently observed surface electronic bands of SrTiO3 and KTaO3 are analyzed with a view to bringing out the relevance of momentum-space chiral angular momentum structures of both orbital and spin origins. Depending on the strength of electric field associated with inversion symmetry breaking at the surface, the orbital and the accompanying spin angular momentum structures reveal complex linear and cubic dependencies in the momentum k (linear and cubic Rashba effects, respectively) in a band-specific manner. Analytical expressions for the cubic orbital and spin Rashba effects are derived by way of unitary transformation technique we developed, and compared to numerical calculations. Due to the C4v symmetry of the perovskite structure the cubic Rashba effect appears as in-plane modulations.
Bulk Viscosity in Holographic Lifshitz Hydrodynamics
Creators: name: Hoyos, Carlos
name: Kim, Bom Soo
name: Oz, Yaron
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We compute the bulk viscosity in holographic models dual to theories with Lifshitz scaling and/or hyperscaling violation, using a generalization of the bulk viscosity formula derived in arXiv:1103.1657 from the null focusing equation. We find that only a class of models with massive vector fields are truly Lifshitz scale invariant, and have a vanishing bulk viscosity. For other holographic models with scalars and/or massless vector fields we find a universal formula in terms of the dynamical exponent and the hyperscaling violation exponent.
description: 24 pages
Comparison of experimental Fatigue Life Study for two Inner Liner Materials for Liquid Rocket Engines
Creators: name:  PASCAL H. KRINGE
name:   JORG R. RICCIUS
name:   JUSTIN HARDI
name:   MICHAEL OSCHWALD
name:   STEFANIE REESE
Publisher: name: Proceedings of the Aerospace Europe Conference - EUCASS - CEAS - 2023
Year: 2023
Subjects: THERMOMECHANICAL FATIGUE
LIQUID ROCKET ENGINE
FATIGUE LIFE

description: The paper on hand presents the comparison of two experimental fatigue life studies conducted with two copper alloys. The alloys are Cu-HCP and CuCrZr. Both materials can be used as the inner liner material for regeneratively cooled liquid rocket engines. The experimental aspect of this study uses Thermomechanical Fatigue (TMF) panels. A TMF panel represents a small section of a regeneratively cooled rocket combustion chamber. It typically contains 7 cooling channels. The coolant being used is supercritical nitrogen instead of hydrogen or methane due to safety and cost concerns. The TMF test bench also incorporates a high power diode laser radiating onto the TMF panel surface. This provides realistic amounts of heat flux and surface temperature. The laser is cyclically powered on and off to represent the multiple load cycles that liquid rocket engines have to endure particularly in reusable rocket engines. This procedure is repeated until the central cooling channel cracks. The setup of the TMF test bench provides data regarding the pure mechanical performance of the material without the influences of any combustion or chemical effects. Furthermore, heat flux, surface temperature and mass flow rate can be determined easily, hence providing precise input data for numerical simulations and validation. The test conditions of both TMF panel test campaigns were a heat flux of q = 24.25 MW /m2 and a maximum surface temperature of Ts = 800 K. Data obtained in the test campaigns comprise fluid properties, temperature distribution as well as mechanical behavior like displacement and strain on the laser loaded surface. The difference in the amount of laser power cycles defines the fatigue life behavior.
Noncollinear twisted RKKY interaction on the optically driven SnTe(001) surface
Creators: name: Yarmohammadi, Mohsen
name: Bukov, Marin
name: Kolodrubetz, Michael H.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The nontrivial spin texture on the (001) surface of topological crystalline insulator SnTe hosts exotic scientific importance and spintronic applications. Here, we study the effects of weak Floquet optical driving on the Ruderman-Kittel-Kasuya-Yosida (RKKY) interaction between two magnetic impurities on a doped SnTe(001) surface. Due to peculiar spin-orbit hybridization, we find a noncollinear twisted RKKY interaction comprising XYZ-Heisenberg, symmetric in-plane, and asymmetric Dzyaloshinskii-Moriya (DM) terms. We see that contributions from the $z$ ($x$)-component of the XYZ-Heisenberg (DM) interaction are dominant for most parameters. The interactions, including DM terms that are responsible for interesting spin textures, require doping in most cases. We propose to modify the interactions in situ via optical control of band structure, and thereby doping. A notable aspect of this control protocol is breaking of electron-hole symmetry, which stems from the DM interaction.
description: 12 pages, 8 figures
Performance Analysis of a Repetition Cat Code Architecture: Computing 256-bit Elliptic Curve Logarithm in 9 Hours with 126133 Cat Qubits
Creators: name: Gouzien, Élie
name: Ruiz, Diego
name: Régent, Francois-Marie Le
name: Guillaud, Jérémie
name: Sangouard, Nicolas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Cat qubits provide appealing building blocks for quantum computing. They exhibit a tunable noise bias yielding an exponential suppression of bit flips with the average photon number and a protection against the remaining phase errors can be ensured by a simple repetition code. We here quantify the cost of a repetition code and provide valuable guidance for the choice of a large scale architecture using cat qubits by realizing a performance analysis based on the computation of discrete logarithms on an elliptic curve with Shor's algorithm. By focusing on a 2D grid of cat qubits with neighboring connectivity, we propose to implement 2-qubit gates via lattice surgery and Toffoli gates with off-line fault-tolerant preparation of magic states through projective measurements and subsequent gate teleportations. All-to-all connectivity between logical qubits is ensured by routing qubits. Assuming a ratio between single- and two-photon losses of 1e-5 and a cycle time of 500 ns, we show concretely that such an architecture can compute a 256-bit elliptic curve logarithm in 9 h with 126133 cat qubits and on average 19 photons by cat state. We give the details of the realization of Shor's algorithm so that the proposed performance analysis can be easily reused to guide the choice of architecture for others platforms.
description: 5+37 pages, 41 figures, 5 tables
Theory of neutrino masses and mixing
Creators: name: Smirnov, Alexei Yu.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In spite of enormous experimental progress in determination of the neutrino parameters, theory of neutrino mass and mixing is still on the cross-roads. Guidelines could be (i) the connection between zero neutrino charges (and therefore a possibility to be Majorana particle), smallness of the neutrino mass and large lepton mixing, (ii) joint description of leptons and quarks, (iii) existence of the right handed (RH) neutrinos without special quantum numbers. Properties of the RH neutrinos and the UV completion of the seesaw may turn out to be the key to understand the neutrino mass and mixing. In view of the LHC results minimalistic scenarios like $ν$MSM look rather plausible. Still the GUT's with additional hidden sector, QLC, high scale flavor symmetries are appealing. Concerning mixing, the main issue is "symmetry or no symmetry" behind the observed pattern. The symmetry group condition is useful tool to study consequences of symmetries and to perform "symmetry building". Sterile neutrinos are challenge but also opportunity for the present theoretical constructions.
description: 13 pages, Talk given at the "Pontecorvo 100" Symposium, Pisa, Italy, September 18 - 20, 2013
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
Creators: name: da Silva, Vinícius Camargo
name: Papa, João Paulo
name: da Costa, Kelton Augusto Pontara
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Automatic Text Summarization (ATS) is becoming relevant with the growth of textual data; however, with the popularization of public large-scale datasets, some recent machine learning approaches have focused on dense models and architectures that, despite producing notable results, usually turn out in models difficult to interpret. Given the challenge behind interpretable learning-based text summarization and the importance it may have for evolving the current state of the ATS field, this work studies the application of two modern Generalized Additive Models with interactions, namely Explainable Boosting Machine and GAMI-Net, to the extractive summarization problem based on linguistic features and binary classification.
Agrypnus cotesi Hayek 1979
Creators: name: Kotru, Akash
name: Chandran, Nithya
name: Dubey, Anil Kumar
name: Prosvirov, Alexander S.
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Elateridae
Agrypnus
Agrypnus cotesi

description: Agrypnus cotesi (Candèze, 1889)
Lacon cotesi Candèze, 1889: 73.
Adelocera cotesi (Candèze) Fleutiaux, 1926: 96.
Agrypnus cotesi (Candèze) Hayek, 1979: 216.
Type depository. Unknown.
Type locality. “Bengale”.
Distribution. India: West Bengal.
Literature. Candèze (1889: 73): original description; Fleutiaux (1926: 96): combination; Hayek (1979: 216): combination.
description: Published as part of Kotru, Akash, Chandran, Nithya, Dubey, Anil Kumar & Prosvirov, Alexander S., 2025, A catalogue of Indian Agrypninae Candèze, 1857 (Coleoptera: Elateridae), pp. 1-66 in Zootaxa 5614 (1) on page 16, DOI: 10.11646/zootaxa.5614.1.1, http://zenodo.org/record/15217075
Scattering and transport properties of the three classical Wigner-Dyson ensembles at the Anderson transition
Creators: name: Martínez-Argüello, A. M.
name: Carrera-Núñez, M.
name: Méndez-Bermúdez, J. A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: An extensive numerical analysis of the scattering and transport properties of the power-law banded random matrix model (PBRM) at criticality in the presence of orthogonal, unitary, and symplectic symmetries is presented. Our results show a good agreement with existing analytical expressions in the metallic regime and with heuristic relations widely used in studies of the PBRM model in the presence of orthogonal and unitary symmetries. Moreover, our results confirm that the multifractal behavior of disordered systems at criticality can be probed by measuring scattering and transport properties, which is of paramount importance from the experimental point of view. Thus, a full picture of the scattering and transport properties of the PBRM model at criticality corresponding to the three classical Wigner-Dyson ensembles is provided.
description: 15 pages and 17 figures
Multiple and Fast: The Accretion of Ordinary Chondrite Parent Bodies
Creators: name: Vernazza, P.
name: Zanda, B.
name: Binzel, R. P.
name: Hiroi, T.
name: DeMeo, F. E.
name: Birlan, M.
name: Hewins, R.
name: Ricci, L.
name: Barge, P.
name: Lockhart, M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Although petrologic, chemical and isotopic studies of ordinary chondrites and meteorites in general have largely helped establish a chronology of the earliest events of planetesimal formation and their evolution, there are several questions that cannot be resolved via laboratory measurements and/or experiments only. Here we propose rationale for several new constraints on the formation and evolution of ordinary chondrite parent bodies (and by extension most planetesimals) from newly available spectral measurements and mineralogical analysis of main belt S-type asteroids (83 objects) and unequilibrated ordinary chondrite meteorites (53 samples). Based on the latter, we suggest spectral data may be used to distinguish whether an ordinary chondrite was formed near the surface or in the interior of its parent body. If these constraints are correct, the suggested implications include that: i) large groups of compositionally similar asteroids are a natural outcome of planetesimal formation and, consequently, meteorites within a given class can originate from multiple parent bodies; ii) the surfaces of large (up to ~200km) S-type main-belt asteroids expose mostly the interiors of the primordial bodies, a likely consequence of impacts by small asteroids (D<10km) in the early solar system (Ciesla et al. 2013); iii) the duration of accretion of the H chondrite parent bodies was likely short (instantaneous or in less then ~10^5 yr but certainly not as long as 1 Myr); iv) LL-like bodies formed closer to the Sun than H-like bodies, a possible consequence of radial mixing and size sorting of chondrules in the protoplanetary disk prior to accretion.
description: Accepted for publication in ApJ
Superradiance and black resonator strings encounter helical black strings
Creators: name: Dias, Oscar J. C.
name: Ishii, Takaaki
name: Murata, Keiju
name: Santos, Jorge E.
name: Way, Benson
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We construct a cohomogeneity-1 helical black string in six-dimensional Einstein gravity. The helical solution branches from the onset of the gravitational superradiant instability of the equal-spinning Myers-Perry black string. The isometry group of the helical black string is $\mathbb{R}_T \times U(1)_Z \times SU(2)$, where the first two are helical isometries generated by linear combinations of time translation, shifts along the string, and rotation, each of which is individually broken by the superradiant instability. The helical black string is stationary, non-axisymmetric, and has nonzero horizon velocity despite the absence of momentum in the string direction. The entropy of the helical black string is higher than that of the Myers-Perry black string, but lower than cohomogeneity-2 ``black resonator strings'' (recently found) when the solutions overlap in the microcanonical ensemble. The entropy of the helical black string approaches zero when the horizon velocity along the string reaches its maximum given by the speed of light. Nevertheless, we find no evidence for the existence of regular horizonless solutions in this limit.
description: 57 pages, 9 figures. v2: Matches published version (minor improvements)
SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets
Creators: name: Suk, Julian
name: Brune, Christoph
name: Wolterink, Jelmer M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Group Theory (math.GR)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Hemodynamic velocity fields in coronary arteries could be the basis of valuable biomarkers for diagnosis, prognosis and treatment planning in cardiovascular disease. Velocity fields are typically obtained from patient-specific 3D artery models via computational fluid dynamics (CFD). However, CFD simulation requires meticulous setup by experts and is time-intensive, which hinders large-scale acceptance in clinical practice. To address this, we propose graph neural networks (GNN) as an efficient black-box surrogate method to estimate 3D velocity fields mapped to the vertices of tetrahedral meshes of the artery lumen. We train these GNNs on synthetic artery models and CFD-based ground truth velocity fields. Once the GNN is trained, velocity estimates in a new and unseen artery can be obtained with 36-fold speed-up compared to CFD. We demonstrate how to construct an SE(3)-equivariant GNN that is independent of the spatial orientation of the input mesh and show how this reduces the necessary amount of training data compared to a baseline neural network.
description: First published in "12th International Conference on Functional Imaging and Modeling of the Heart" (FIMH), pp 445-454, 2023 by Springer Nature
VoF-to-DPM 3D Model for non-reacting gas liquid two-phase flow
Creators: name:  MARIANO DI MATTEO
name:   BERTEN OLIVIER
name:   PATRICK HENDRICK
Publisher: name: Proceedings of the Aerospace Europe Conference - EUCASS - CEAS - 2023
Year: 2023
Subjects: CFD
TWO-PHASE FLOW
DISCRETE PHASE MODEL

description: The atomization of liquid jets plays a vital role in combustion systems, such as gas turbines and rocket engines. Understanding the behaviour of gas-liquid two-phase flows is crucial for enhancing the performance and safety of propulsion systems. This paper proposes the utilization of the Volume of Fluid (VOF) method in conjunction with the Discrete Phase Model (DPM) to accurately capture the characteristics of a non-reacting spray in a co-flow. The study involves a 3D cylinder with an air blast injector and an axial co-flow. The simulation results demonstrate the successful representation of the primary breakup and dispersion of droplets. The hybrid RANS-LES model employed achieves accurate results with reasonable computational cost. Future work will involve model validation using experimental data and parameter variation analysis.
Percolation modeling of hydraulic hysteresis in a porous media
Creators: name: Moskalev, P. V.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: In this paper we consider various models of hydraulic hysteresis in invasive mercury porosimetry. For simulating the hydraulic hysteresis is used isotropic site percolation on three-dimensional square lattices with $(1, d)$-neighborhood. The relationship between the percolation model parameters and invasive porosimetry data is studied phenomenologically. The implementation of the percolation model is based on libraries SPSL and SECP, released under license GNU GPL-3 using the free programming language R.
description: 16 pages, 11 figures, in Russian
Integral field unit spectroscopy of 10 early type galactic nuclei: I - Principal component analysis Tomography and nuclear activity
Creators: name: Ricci, T. V.
name: Steiner, J. E.
name: Menezes, R. B.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Most massive galaxies show emission lines that can be characterized as LINERs. To what extent this emission is related to AGNs or to stellar processes is still an open question. In this paper, we analysed a sample of such galaxies to study the central region in terms of nuclear and circumnuclear emission lines, as well as the stellar component properties. For this reason, we selected 10 massive ($σ$ > 200 km/s) nearby (d < 31 Mpc) galaxies and observed them with the IFU/GMOS (integral field unit/Gemini Multi-Object Spectrograph) spectrograph on the Gemini South Telescope. The data were analysed with principal component analysis (PCA) Tomography to assess the main properties of the objects. Two spectral regions were analysed: a yellow region (5100-5800 A), adequate to show the properties of the stellar component, and a red region (6250-6800 A), adequate to analyse the gaseous component. We found that all objects previously known to present emission lines have a central AGN-type emitting source. They also show gaseous and stellar kinematics typical of discs. Such discs may be co-aligned (NGC 1380 and ESO 208 G-21), in counter-rotation (IC 1459 and NGC 7097) or misaligned (IC 5181 and NGC 4546). We also found one object with a gaseous disc but no stellar disc (NGC 2663), one with a stellar disc but no gaseous disc (NGC 1404), one with neither stellar nor gaseous disc (NGC 1399) and one with probably ionization cones (NGC 3136). PCA Tomography is an efficient method for detecting both the central AGN and gaseous and stellar discs. In the two cases (NGC 1399 and NGC 1404) in which no lines were previously reported, we found no evidence of either nuclear or circumnuclear emission, using PCA Tomography only.
description: 26 pages, 17 figures, accepted for publication in MNRAS
The role of the top quark in the stability of the SM Higgs potential
Creators: name: Degrassi, Giuseppe
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: I discuss the stability of the SM scalar potential in view of the discovery of a Higgs boson with mass around 125 GeV. The role played by the top quark mass in the choice between the full stability and the metastability conditions is analyzed in detail. The present experimental value of the top mass do not support the possibility that the SM potential is stable up to the Planck scale but favor an electroweak vacuum sufficiently long-lived to be metastable.
description: 7 pages, 6 figures. To appear on the Proceedings of LC13 Workshop: exploring QCD from the infrared regime to heavy flavour scales at B-factories, the LHC and a Linear Collider, 16-20 September 2013, ECT*, Villa Tambosi, Villazzano (TN), Italy
Charge correlations suppress unconventional pairing in the Holstein model
Creators: name: Dee, Philip M.
name: Cohen-Stead, Benjamin
name: Johnston, Steven
name: Hirschfeld, P. J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: In a recent work by Schrodi $\textit{et al}$. [Phys. Rev. B. $\textbf{104}$, L140506 (2021)], the authors find an unconventional superconducting state with a sign-changing order parameter using the Migdal-Eliashberg theory, including the first vertex correction. This unconventional solution arises despite using an isotropic bare electron-phonon coupling in the Hamiltonian. We examine this claim using hybrid quantum Monte Carlo for a single-band Holstein model with a cuprate-like noninteracting band structure and identical parameters to Schrodi $\textit{et al}$.. Our Monte Carlo results for these parameters suggest that unconventional pairing correlations do not exceed their noninteracting values at any carrier concentration we have checked. Instead, strong charge-density-wave correlations persist at the lowest accessible temperatures for dilute and nearly half-filled bands. Lastly, we present arguments for how vertex-corrected Migdal-Eliashberg calculation schemes can lead to uncontrolled results in the presence of Fermi surface nesting.
description: 9 pages, 7 figures, Legend of Fig.2 corrected
Computergesteuerte Entwicklung von Ylid‐funktionalisierten Phosphinen für Palladium‐katalysierte Hiyama‐Kupplungen
Creators: name: Goebel, Jonas F.
name: Löffler, Julian
name: Zeng, Zhongyi
name: Handelmann, Jens
name: Hermann, Albert
name: Rodstein, Ilja
name: Gensch, Tobias
name: Gessner, Viktoria H.
name: Gooßen, Lukas J.
Publisher: name: Technische Universität Berlin
Year: 2023
Subjects: subject: 500 Naturwissenschaften und Mathematik::540 Chemie::540 Chemie und zugeordnete Wissenschaften
subject: Hiyama
subject: Maschinelles Lernen
subject: Nitrile
subject: Palladium
subject: Phosphan-Liganden

description: Palladium-katalysierte Kupplungen von Silicium-Enolaten mit Arylelektrophilen sind von großem synthetischem Nutzen, aber oft auf teure Bromid-Substrate beschränkt. Eine vergleichende experimentelle Studie bestätigte, dass keines der etablierten Ligandensysteme die Kupplung kostengünstiger Arylchloride mit α-Trimethylsilylalkylnitrilen ermöglicht. Im Gegensatz dazu führten ylid-funktionalisierte Phosphine (YPhos) zu vielversprechenden Ergebnissen. Mit Hilfe eines statistischen Modells wurden die Reaktionsausbeuten mit strukturellen Eigenschaften der Liganden korreliert und hocheffiziente Katalysatorstrukturen vorhergesagt. Mit Hilfe dieses chemieinformatischen Ansatzes wurden neue YPhos-Liganden speziell auf die Anforderungen von Hiyama-Kupplungen zugeschnitten. Diese Liganden brechen Aktivitätrekorde und ermöglichten die Kupplung von Arylchloriden mit α-Trimethylsilylalkylnitrilen. Der präparative Nutzen des Katalysatorsystems wurde durch die Synthese von pharmazeutisch bedeutsamen α-Arylalkylnitrilen, α-Arylcarbonylen und Biarylen aufgezeigt.
On the minimum spin period of accreting pulsars
Creators: name: Çıkıntoğlu, Sercan
name: Ekşi, K. Yavuz
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The distribution of the spin frequencies of neutron stars in low-mass X-ray binaries exhibits a cut-off at 730 Hz, below the break-up frequency (mass-shedding limit) of neutron stars. The absence of the sub-millisecond pulsars presents a problem, given that these systems are older than the spin-up timescale. We confront models of disc-magnetosphere interaction near torque equilibrium balanced by the torque due to gravitational wave emission. We note that field lines penetrating the disc beyond the inner radius reduce the maximum rotation frequency of the star, a result well-known since the seminal work of Ghosh & Lamb. We show that the polar cap area corresponds to about half the neutron star surface area at the cut-off frequency if the inner radius is slightly smaller than the corotation radius. We then include the change in the moment of inertia of the star due to the accretion of mass and find that this effect further reduces the maximum rotation frequency of the star. Finally, we include the torque due to gravitational wave emission and calculate its contribution to the torque equilibrium. Our results suggest that all three processes are significant at the cut-off frequency, and all of them must be considered in addressing the absence of sub-millisecond pulsars.
description: 8 pages, 5 figures, matches the version to be published in MNRAS
Testing the $d^{*}_{x^{2}-y^{2}}$-wave pairing symmetry by quasiparticle interference in BiS$_{2}$-based superconductors
Creators: name: Gao, Yi
name: Zhou, Tao
name: Huang, Huaixiang
name: Tong, Peiqing
name: Wang, Qiang-Hua
Publisher: name: arXiv
Year: 2014
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The quasiparticle interference (QPI) patterns in BiS$_{2}$-based superconductors are theoretically investigated by taking into account the spin-orbital coupling and assuming the recently proposed $d^{*}_{x^{2}-y^{2}}$-wave pairing symmetry. We found two distinct scattering wave vectors whose evolution can be explained based on the evolution of the constant-energy contours. The QPI spectra presented in this paper can thus be compared with future scanning tunneling microscopy experiments to test whether the pairing symmetry is $d^{*}_{x^{2}-y^{2}}$-wave in BiS$_{2}$-based superconductors.
description: Due to the size limit, the original high-resolution figures can be asked for by emailling flygaoonly@gmail.com
Hybrid Rocket Engines Design for Materials Characterization
Creators: name:  GABRIELE MANGIONI
name:   RENATO MAROCCO
name:   GIOVANNI MARIA CRISPINO
name:   DANIELE BIANCHI
name:   STEFANO MUNGIGUERRA
name:   RAFFAELE SAVINO
Publisher: name: Proceedings of the Aerospace Europe Conference - EUCASS - CEAS - 2023
Year: 2023
Subjects: HYBRID ROCKET ENGINE
MATERIALS CHARACTERIZATION

description: Hybrid Rocket Engines (HREs) have generated positive interest in the scientific community due to their ability to combine the special characteristics pertaining to solid and liquid propulsion I [ 1]. Eligible as promising technology enablers for the future of space industry, HREs are valuable for their safe and controlled design nature, simplified architecture with respect to liquid engines, able to provide throttling, start/stop capabilities and in general less hazard than solid ones. One of the most profitable potentials, which is explored in this work, involves exploiting HREs as test demonstrators, particularly for materials characterization. The aim of this work is the development of a numerical tool, whose objective is the design of lab-scale HREs for materials characterization in a specific required target application. The numerical tool is tailored on propulsion laboratory of University of Naples \"Federico II\" (located in military airport \"F. Baracca\" in Grazzanise) considering HREs ranging from 200N to lkN thrust. Starting from a target material application in terms of chemical environment, pressure, heat fluxes and temperature inside the combustion chamber and nozzle, the model allows to obtain a real motor configuration meeting the aforementioned constrains, analysing the following design variables: mixture ratios O/F, mass flow rates, pressures, propellant combinations, solid grain dimensions and engine scale. To complete the numerical setup and make it viable for the target material characterization, the model is paired with a routine which allows the evaluation of a suitable cost function, including several synthesis parameters that can be used globally to choose the design of the most representative lab-scale HRE. Results have been compared with CFD analyses to validate the numerical tool, especially in the evaluation of wall heat fluxes in post-chamber and nozzle throat sections and in the choice of test samples position within the rocket. The output of this process is represented by the design of a lab-scale HRE in University of Naples \"Federico II\" and the production of a test matrix for specific material characterization based on suitable cost function. Thanks to its versatility, the model proposed in this work lends itself to being easily modified to study different types of materials working on different applications.
Development of Fiber Fabry-Perot Interferometers as Stable Near-infrared Calibration Sources for High Resolution Spectrographs
Creators: name: Halverson, Samuel
name: Mahadevan, Suvrath
name: Ramsey, Lawrence
name: Hearty, Fred
name: Wilson, John
name: Holtzman, Jon
name: Redman, Stephen
name: Nave, Gillian
name: Nidever, David
name: Nelson, Matt
name: Venditti, Nick
name: Bizyaev, Dmitry
name: Fleming, Scott
Publisher: name: arXiv
Year: 2014
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We discuss the ongoing development of single-mode fiber Fabry-Perot (FFP) Interferometers as precise astro-photonic calibration sources for high precision radial velocity (RV) spectrographs. FFPs are simple, inexpensive, monolithic units that can yield a stable and repeatable output spectrum. An FFP is a unique alternative to a traditional etalon, as the interferometric cavity is made of single-mode fiber rather than an air-gap spacer. This design allows for excellent collimation, high spectral finesse, rigid mechanical stability, insensitivity to vibrations, and no need for vacuum operation. The device we have tested is a commercially available product from Micron Optics. Our development path is targeted towards a calibration source for the Habitable-Zone Planet Finder (HPF), a near-infrared spectrograph designed to detect terrestrial-mass planets around low-mass stars, but this reference could also be used in many existing and planned fiber-fed spectrographs as we illustrate using the Apache Point Observatory Galactic Evolution Experiment (APOGEE) instrument. With precise temperature control of the fiber etalon, we achieve a thermal stability of 100 $μ$K and associated velocity uncertainty of 22 cm s$^{-1}$. We achieve a precision of $\approx$2 m s$^{-1}$ in a single APOGEE fiber over 12 hours using this new photonic reference after removal of systematic correlations. This high precision (close to the expected photon-limited floor) is a testament to both the excellent intrinsic wavelength stability of the fiber interferometer and the stability of the APOGEE instrument design. Overall instrument velocity precision is 80 cm s$^{-1}$ over 12 hours when averaged over all 300 APOGEE fibers and after removal of known trends and pressure correlations, implying the fiber etalon is intrinsically stable to significantly higher precision.
description: 12 pages, 17 figures. Accepted in PASP
Explainable Contextual Anomaly Detection using Quantile Regression Forests
Creators: name: Li, Zhong
name: van Leeuwen, Matthijs
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Traditional anomaly detection methods aim to identify objects that deviate from most other objects by treating all features equally. In contrast, contextual anomaly detection methods aim to detect objects that deviate from other objects within a context of similar objects by dividing the features into contextual features and behavioral features. In this paper, we develop connections between dependency-based traditional anomaly detection methods and contextual anomaly detection methods. Based on resulting insights, we propose a novel approach to inherently interpretable contextual anomaly detection that uses Quantile Regression Forests to model dependencies between features. Extensive experiments on various synthetic and real-world datasets demonstrate that our method outperforms state-of-the-art anomaly detection methods in identifying contextual anomalies in terms of accuracy and interpretability.
description: Manuscript accepted by Data Mining and Knowledge Discovery for publication (June 2023). This is the final revised version
Editorial Board: Quarterly Journal of Studies on Alcohol (1968)
Creators: name: No Name Supplied
Publisher: name: No Publisher Supplied
Year: 1968

description: A page from the 1968 journal Index listing members of the editorial board of the Quarterly Journal of Studies on Alcohol. The Quarterly Journal of Studies on Alcohol, ISSN: 0033-5649 was founded in 1940 by Howard W. Haggard, M.D., director of Yale University’s Laboratory of Applied Physiology. Later it was renamed the Journal of Studies on Alcohol, and is currently called the Journal of Studies on Alcohol and Drugs, published at the Rutgers Center of Alcohol Studies.
(City)Keys to Belonging: A Qualitative Analysis of Chicago’s CityKey Program, The Changing Role of Non-Governmental Organizations, and New Pathways to Belonging Within Immigrant and Undocumented Communities
Creators: name: Shaw, Olivia
Publisher: name: University of Chicago
Year: 2020
Subjects: subject: municipal ID
subject: CityKey
subject: immigration
subject: immigration federalism
subject: citizenship
subject: belonging
subject: Chicago
subject: Chicago suburbs
subject: non-governmental organizations (NGOs)
subject: street-level bureaucrats
subject: Office of the City Clerk of Chicago
subject: government-issued identification

description: Municipal ID, specifically CityKey, exists at the center of debates surrounding immigration, federalism, citizenship, and belonging. In this thesis, I seek to answer two questions: one about the extent to which municipal identification influences conceptions of belonging for members of immigrant and undocumented communities in Chicago, the other about how service providers and non-governmental organizations understand their role in creating and/or discouraging pathways for belonging as it relates to municipal ID programs. Between November 2019 and March 2020, I interviewed 14 subjects total from both Chicago and the Chicago suburbs; two city officials, ten NGO advocates, and two community members. As my interviewees expressed, belonging by way of CityKey existed in two forms that worked hand-in-hand: through increased visibility in Chicago, and through participating in active, municipal citizenship. Furthermore, my interviewees spoke to two barriers to belonging: at the city-level, the rejection of CityKey at banks and financial institutions, and at the federal-level, fear caused by the current federal administration. To my second question, according to my subjects, NGOs served as a bridge between their communities and city government, which facilitated pathways for belonging. Further, NGO advocates spoke to the ways they held the City accountable, and areas where CityKey could be improved. In suburban communities, my subjects spoke to differing conceptions of belonging, especially as it relates to access to services and local political representation. As CityKey celebrates its second birthday, it’s important to study how CityKey impacts vulnerable communities, particularly Chicago’s immigrant and undocumented communities.
Quantum Machine Learning: from physics to software engineering
Creators: name: Melnikov, Alexey
name: Kordzanganeh, Mohammad
name: Alodjants, Alexander
name: Lee, Ray-Kuang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key approaches that can offer advancements in both the development of quantum technologies and the power of artificial intelligence. Among these approaches are quantum-enhanced algorithms, which apply quantum software engineering to classical information processing to improve keystone machine learning solutions. In this context, we explore the capability of hybrid quantum-classical neural networks to improve model generalization and increase accuracy while reducing computational resources. We also illustrate how machine learning can be used both to mitigate the effects of errors on presently available noisy intermediate-scale quantum devices, and to understand quantum advantage via an automatic study of quantum walk processes on graphs. In addition, we review how quantum hardware can be enhanced by applying machine learning to fundamental and applied physics problems as well as quantum tomography and photonics. We aim to demonstrate how concepts in physics can be translated into practical engineering of machine learning solutions using quantum software.
description: 46 pages, 15 figures