cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Kinetic theory for classical and quantum many-body chaos
Creators: name: Grozdanov, Sašo
name: Schalm, Koenraad
name: Scopelliti, Vincenzo
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Chaotic Dynamics (nlin.CD)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: For perturbative scalar field theories, the late-time-limit of the out-of-time-ordered correlation function that measures (quantum) chaos is shown to be equal to a Boltzmann-type kinetic equation that measures the total gross (instead of net) particle exchange between phase space cells, weighted by a function of energy. This derivation gives a concrete form to numerous attempts to derive chaotic many-body dynamics from ad hoc kinetic equations. A period of exponential growth in the total gross exchange determines the Lyapunov exponent of the chaotic system. Physically, the exponential growth is a front propagating into an unstable state in phase space. As in conventional Boltzmann transport, which follows from the dynamics of the net particle number density exchange, the kernel of this kinetic integral equation is also set by the 2-to-2 scattering rate. This provides a mathematically precise statement of the known fact that in dilute weakly coupled gases transport and scrambling (or ergodicity) are controlled by the same physics.
description: V2: 10 pages, 1 figure. References and clarifications added. Published version
Enhancing deep neural networks with morphological information
Creators: name: Klemen, Matej
name: Krsnik, Luka
name: Robnik-Šikonja, Marko
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Deep learning approaches are superior in NLP due to their ability to extract informative features and patterns from languages. The two most successful neural architectures are LSTM and transformers, used in large pretrained language models such as BERT. While cross-lingual approaches are on the rise, most current NLP techniques are designed and applied to English, and less-resourced languages are lagging behind. In morphologically rich languages, information is conveyed through morphology, e.g., through affixes modifying stems of words. Existing neural approaches do not explicitly use the information on word morphology. We analyse the effect of adding morphological features to LSTM and BERT models. As a testbed, we use three tasks available in many less-resourced languages: named entity recognition (NER), dependency parsing (DP), and comment filtering (CF). We construct baselines involving LSTM and BERT models, which we adjust by adding additional input in the form of part of speech (POS) tags and universal features. We compare models across several languages from different language families. Our results suggest that adding morphological features has mixed effects depending on the quality of features and the task. The features improve the performance of LSTM-based models on the NER and DP tasks, while they do not benefit the performance on the CF task. For BERT-based models, the morphological features only improve the performance on DP when they are of high quality while not showing practical improvement when they are predicted. Even for high-quality features, the improvements are less pronounced in language-specific BERT variants compared to massively multilingual BERT models. As in NER and CF datasets manually checked features are not available, we only experiment with predicted features and find that they do not cause any practical improvement in performance.
description: Updated version, accepted to Natural Language Engineering
title: Diffuse X-Rays from the Arches and Quintuplet Clusters
Creators: name: Rockefeller, G
name: Fryer, CL
name: Melia, F
name: Wang, QD
Publisher: name: University of Massachusetts Amherst
Year: 2005
Subjects: subject: Galaxy: center; globular clusters: individual (Arches
subject: Quintuplet); radiation mechanisms: thermal; shock waves; stars: winds
subject: outflows
subject: Astrophysics and Astronomy

description: This is the pre-published version harvested from ArXiv. The published version is located at http://iopscience.iop.org/0004-637X/623/1/171/
description: The origin and initial mass function of young stellar clusters near the Galactic center are still poorly understood. Two of the more prominent ones, the Arches and Quintuplet clusters, may have formed from a shock-induced burst of star formation, given their similar age and proximity to each other. Their unusual mass distribution, however, may be evidence of a contributing role played by other factors, such as stellar capture from regions outside the clusters themselves. Diffuse X-ray emission from these sources provides us with a valuable, albeit indirect, measure of the stellar mass-loss rate from their constituents. Using recent data acquired with Chandra, we can study the nature and properties of the outflow to not only probe the pertinent physical conditions, such as high metallicity, the magnetic field, and so forth, but also to better constrain the stellar distribution within the clusters, in order to identify their formative history. In this paper, we present a set of three-dimensional smoothed particle hydrodynamics simulations of the wind-wind interactions in both the Arches and Quintuplet clusters. We are guided primarily by the currently known properties of the constituent stars, though we vary the mass-loss rates in order to ascertain the dependence of the measured X-ray flux on the assumed stellar characteristics. Our results are compared with the latest observations of the Arches cluster. Our analysis of the Quintuplet cluster may be used as a basis for comparison with future X-ray observations of this source.
The Origins of Snake and Spider Fear: How Infants Learn to Associate Evolutionary Fear-Relevant Stimuli and Paired Stimuli
Creators: name: Jankowitsch, Jessica
Publisher: name: Carnegie Mellon University
Year: 2009
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Previous research has demonstrated that female infants are capable of learning paired associations between predatory and emotional stimuli that male infants do not learn (Rakison, in review). These findings come in conjunction with evidence pointing towards inherent evolutionary psychological learning mechanisms that allow for the rapid detection of, attending to, and learning about predatory animals that allow for the learning of fear and appropriate fear responses associated with these threats (Rakison & Derringer, 2008, Öhman & Mineka, 2001). Understanding how these learning mechanisms are constrained and develop is important in the path of research eventually leading to treatments and interventions of phobias. In this study, I examined whether female infants demonstrate differences in learning paired associations between predatory and arbitrary stimuli compared to males and whether motor experience would influence infants’ learning paired associations between predatory and emotional stimuli. Infants 11 and 7 to 5 months of age were habituated to these pairings and tested for learning through dishabituation.
Two-Loop Renormalization Group Equations for Soft Supersymmetry-Breaking Couplings
Creators: name: Martin, Stephen P.
name: Vaughn, Michael T.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We compute the two-loop renormalization group equations for all soft supersymmetry-breaking couplings in a general softly broken N=1 supersymmetric model. We also specialize these results to the Minimal Supersymmetric Standard Model.
description: 26 pages. [v4: Signs of equations (4.2) and (4.3) are fixed.]
General Solution of the Quantum Damped Harmonic Oscillator
Creators: name: Endo, Ryusuke
name: Fujii, Kazuyuki
name: Suzuki, Tatsuo
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In this paper the general solution of the quantum damped harmonic oscillator is given.
description: Latex ; 10 pages ; no figure ; typos corrected. The quantum damped harmonic oscillator is solved completely
Laser-to-Vehicle Extrinsic Calibration in Low-Observability Scenarios for Subsea Mapping
Creators: name: Hitchcox, Thomas
name: Forbes, James Richard
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Laser line scanners are increasingly being used in the subsea industry for high-resolution mapping and infrastructure inspection. However, calibrating the 3D pose of the scanner relative to the vehicle is a perennial source of confusion and frustration for industrial surveyors. This work describes three novel algorithms for laser-to-vehicle extrinsic calibration using naturally occurring features. Each algorithm makes a different assumption on the quality of the vehicle trajectory estimate, enabling good calibration results in a wide range of situations. A regularization technique is used to address low-observability scenarios frequently encountered in practice with large, rotationally stable subsea vehicles. Experimental results are provided for two field datasets, including the recently discovered wreck of the Endurance.
description: 8 pages, 8 figures. Accepted for publication in IEEE Robotics and Automation Letters. Updated to include vol., no., and page nos
Estimating the impact of structural directionality: How reliable are undirected connectomes?
Creators: name: Kale, Penelope
name: Zalesky, Andrew
name: Gollo, Leonardo L.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Biological sciences

description: Directionality is a fundamental feature of network connections. Most structural brain networks are intrinsically directed because of the nature of chemical synapses, which comprise most neuronal connections. Due to limitations of non-invasive imaging techniques, the directionality of connections between structurally connected regions of the human brain cannot be confirmed. Hence, connections are represented as undirected, and it is still unknown how this lack of directionality affects brain network topology. Using six directed brain networks from different species and parcellations (cat, mouse, C. elegans, and three macaque networks), we estimate the inaccuracies in network measures (degree, betweenness, clustering coefficient, path length, global efficiency, participation index, and small worldness) associated with the removal of the directionality of connections. We employ three different methods to render directed brain networks undirected: (i) remove uni-directional connections, (ii) add reciprocal connections, and (iii) combine equal numbers of removed and added uni-directional connections. We quantify the extent of inaccuracy in network measures introduced through neglecting connection directionality for individual nodes and across the network. We find that the coarse division between core and peripheral nodes remains accurate for undirected networks. However, hub nodes differ considerably when directionality is neglected. Comparing the different methods to generate undirected networks from directed ones, we generally find that the addition of reciprocal connections (false positives) causes larger errors in graph-theoretic measures than the removal of the same number of directed connections (false negatives). These findings suggest that directionality plays an essential role in shaping brain networks and highlight some limitations of undirected connectomes.
description: 29 pages, 6 figures, 9 supplementary figures, 4 supplementary tables
The Nonperturbative Regime in QCD Resummation for Gauge Boson Production at Hadron Colliders
Creators: name: Ladinsky, G. A.
name: Yuan, C. --P.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study the nonperturbative functions in the Collins--Soper--Sterman resummation formalism by examing Drell--Yan data in both fixed target and collider experiments and then predict the transverse momentum distributions of the $W^\pm$ and $Z^0$ bosons at the Tevatron. Our results differ from that in the literature and agree better with published CDF data. Using statistical arguments, we find a $1\,$fb${}^{-1}$ luminosity at the Fermilab Tevatron should be able to provide useful constraints on the nonperturbative functions.
description: 6 pages, using PHYZZX, 4 PostScript files appended (title changed)
The Latin Word for Excellence and Other Stories
Creators: name: Allen, Michael
Publisher: name: Carnegie Mellon University
Year: 2002
Subjects: subject: 200508 Other Literatures in English
subject: FOS: Languages and literature

description: THE LATIN WORD FOR EXCELLENCE 5
CARTOON CAT 8
MUSIC FOR AIRPLANES 14
THE RED DRESS 25
FIRESUITE 40
UNLOVE 49
LIGHT FROM A DEAD STAR 69
STEREO 75
EXHIBITION 86
YES 98
PERFECT KISS 108
Les Archives Suédoise: A Collaborative Intercultural Collaboration Around a Colonial Pile of Glass-plate Negatives
Creators: name: Järdemar, Cecilia
Publisher: name: Cinergie – Il Cinema e le altre Arti
Year: 2020
Subjects: Art; Colonial archive; Counter memory; Intercultural collaborations; Photography

description: This article will discuss the intercultural, collaborative art project Les Archives Suédoises, which brings a repressed part of colonial history into the open by re-contextualizing and reworking a hidden trove of historical glass-plate negatives photographed by Swedish missionaries in the Congo DR between 1890 -1930. Through a practice of inter-cultural artistic interventions, the material remains of the missionary project are investigated and reformulated; questioning Sweden’s colonial history, and simultaneously giving Congolese communities access to parts of their history lost in the process of colonization. The project explores the possibilities of intercultural artistic interventions – is it possible to redress and reformulate our difficult shared history through a shared practice? How can we bring the past into the present in ways that consider the different needs in the Congo and Sweden? Is it possible to find new ways of conceiving of the narrative potentials of the photographic archive – beyond digital repatriation projects that strip images of their context and echo the exclusionary mechanics of earlier versions of the archive?
description: Cinergie – Il Cinema e le altre Arti, No 17 (2020)
The Intersection of Poetry and Human Sexuality
Creators: name: Chen, Alexander
Publisher: name: Carnegie Mellon University
Year: 2006
Subjects: subject: 200508 Other Literatures in English
subject: FOS: Languages and literature

description: This thesis discusses the intersection of contemporary poetry with homosexuality
specifically in the aspects of human sexuality and social commentary. The thesis features
my original work as well as poems by other contemporary gay and lesbian poets.
Sexuality is an abstraction, and poetry is a vessel for the discovery of a truth within the
context of desire. My thesis strives to enlighten the rhetoric and poetics in the gay and
lesbian community.
Log Structures on Generalized Semi-Stable Varieties
Creators: name: Li, Ting
Publisher: name: arXiv
Year: 2007
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14A15

description: This is my PhD Thesis, part of it has published in Acta Mathematica Sinica. In this paper, a class of morphisms which have a kind of singularity weaker than normal crossing is considered. We construct the obstruction such that the so-called semi-stable log structures exists if and only if the obstruction vanishes. In the case of no power, if the obstruction vanishes, then the semi-stable log structure is unique up to a unique isomorphism. So we obtain a kind of canonical structures on this family of morphisms.
description: 47 pages, doubled sided
Additional file 1 of Dietary and lifestyle behavior in adults with epilepsy needs improvement: a case-control study from northeastern Poland
Creators: name: Szałwińska, Kamila
name: Cyuńczyk, Monika
name: Kochanowicz, Jan
name: Witkowska, Anna M.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1. STROBE Statement.
Discovery of carbon-based strongest and hardest amorphous material
Creators: name: Zhang, Shuangshuang
name: Li, Zihe
name: Luo, Kun
name: He, Julong
name: Gao, Yufei
name: Soldatov, Alexander V.
name: Benavides, Vicente
name: Shi, Kaiyuan
name: Nie, Anmin
name: Zhang, Bin
name: Hu, Wentao
name: Ma, Mengdong
name: Liu, Yong
name: Wen, Bin
name: Gao, Guoying
name: Liu, Bing
name: Zhang, Yang
name: Yu, Dongli
name: Zhou, Xiang-Feng
name: Zhao, Zhisheng
name: Xu, Bo
name: Su, Lei
name: Yang, Guoqiang
name: Chernogorova, Olga P.
name: Tian, Yongjun
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Carbon is likely the most fascinating element of the periodic table because of the diversity of its allotropes stemming from its variable (sp, sp2, and sp3) bonding motifs. Exploration of new forms of carbon has been an eternal theme of contemporary scientific research. Here we report on novel amorphous carbon phases containing high fraction of sp3 bonded atoms recovered after compressing fullerene C60 to previously unexplored high pressure and temperature. The synthesized carbons are the hardest and strongest amorphous materials known to date, capable of scratching diamond crystal and approaching its strength which is evidenced by complimentary mechanical tests. Photoluminescence and absorption spectra of the materials demonstrate they are semiconductors with tunable bandgaps in the range of 1.5-2.2 eV, comparable to that of amorphous silicon. A remarkable combination of the outstanding mechanical and electronic properties makes this class of amorphous carbons an excellent candidate for photovoltaic applications demanding ultrahigh strength and wear resistance.
description: 40 pages, 17 figures
Additional file 1 of PTD-mediated delivery of α-globin chain into Κ-562 erythroleukemia cells and α-thalassemic (HBH) patients’ RBCs ex vivo in the frame of Protein Replacement Therapy
Creators: name: Miliotou, Androulla N.
name: Papagiannopoulou, Dionysia
name: Vlachaki, Efthymia
name: Samiotaki, Martina
name: Laspa, Dimitra
name: Theodoridou, Stamatia
name: Tsiftsoglou, Asterios S.
name: Papadopoulou, Lefkothea C.
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Molecular Biology
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 1. Additional methodology, figures and tables.
Learning for Video Compression
Creators: name: Chen, Zhibo
name: He, Tianyu
name: Jin, Xin
name: Wu, Feng
Publisher: name: arXiv
Year: 2018
Subjects: subject: Multimedia (cs.MM)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into a neural network. In this paper we propose the concept of PixelMotionCNN (PMCNN) which includes motion extension and hybrid prediction networks. PMCNN can model spatiotemporal coherence to effectively perform predictive coding inside the learning network. On the basis of PMCNN, we further explore a learning-based framework for video compression with additional components of iterative analysis/synthesis, binarization, etc. Experimental results demonstrate the effectiveness of the proposed scheme. Although entropy coding and complex configurations are not employed in this paper, we still demonstrate superior performance compared with MPEG-2 and achieve comparable results with H.264 codec. The proposed learning-based scheme provides a possible new direction to further improve compression efficiency and functionalities of future video coding.
description: Accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
Creators: name: Do, Nguyen
name: Chowdhury, Tanmoy
name: Ling, Chen
name: Zhao, Liang
name: Thai, My T.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Social and Information Networks (cs.SI)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Probability (math.PR)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Multiplex influence maximization (MIM) asks us to identify a set of seed users such as to maximize the expected number of influenced users in a multiplex network. MIM has been one of central research topics, especially in nowadays social networking landscape where users participate in multiple online social networks (OSNs) and their influences can propagate among several OSNs simultaneously. Although there exist a couple combinatorial algorithms to MIM, learning-based solutions have been desired due to its generalization ability to heterogeneous networks and their diversified propagation characteristics. In this paper, we introduce MIM-Reasoner, coupling reinforcement learning with probabilistic graphical model, which effectively captures the complex propagation process within and between layers of a given multiplex network, thereby tackling the most challenging problem in MIM. We establish a theoretical guarantee for MIM-Reasoner as well as conduct extensive analyses on both synthetic and real-world datasets to validate our MIM-Reasoner's performance.
Masked Conditional Neural Networks for Automatic Sound Events Recognition
Creators: name: Medhat, Fady
name: Chesmore, David
name: Robinson, John
Publisher: name: arXiv
Year: 2018
Subjects: subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Deep neural network architectures designed for application domains other than sound, especially image recognition, may not optimally harness the time-frequency representation when adapted to the sound recognition problem. In this work, we explore the ConditionaL Neural Network (CLNN) and the Masked ConditionaL Neural Network (MCLNN) for multi-dimensional temporal signal recognition. The CLNN considers the inter-frame relationship, and the MCLNN enforces a systematic sparseness over the network's links to enable learning in frequency bands rather than bins allowing the network to be frequency shift invariant mimicking a filterbank. The mask also allows considering several combinations of features concurrently, which is usually handcrafted through exhaustive manual search. We applied the MCLNN to the environmental sound recognition problem using the ESC-10 and ESC-50 datasets. MCLNN achieved competitive performance, using 12% of the parameters and without augmentation, compared to state-of-the-art Convolutional Neural Networks.
description: Restricted Boltzmann Machine, RBM, Conditional RBM, CRBM, Deep Belief Net, DBN, Conditional Neural Network, CLNN, Masked Conditional Neural Network, MCLNN, Environmental Sound Recognition, ESR
Study of conditions of use of E-services accessible to visually disabled persons
Creators: name: Bobiller-Chaumon, Marc-Eric
name: Dubois, Michel
name: Sandoz-Guermond, Françoise
Publisher: name: arXiv
Year: 2007
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: The aim of this paper is to determine the expectations that French-speaking disabled persons have for electronic administrative sites (utility). At the same time, it is a matter of identifying the difficulties of use that the manipulation of these E-services poses concretely for blind people (usability) and of evaluating the psychosocial impacts on the way of life of these people with specific needs. We show that the lack of numerical accessibility is likely to accentuate the social exclusion of which these people are victim by establishing a numerical glass ceiling.
description: 4 pages visible \`a http://ceur-ws.org/Vol-285
The influence of familiarity on the ability to form associations: A connectionist account
Creators: name: Keinath, Alexander
Publisher: name: Carnegie Mellon University
Year: 2012
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Examination of numerous past results, such as word frequency effects, suggests that there might be an influence of stimulus familiarity on the ability to form associations with that stimulus. Specifically, that familiarity facilitates association formation. However, to date there has been no direct experimental evidence of this effect. To demonstrate familiarity facilitation, as well as to examine other variables thought to modulate the effect of familiarity facilitation, two experiments were conducted. Evidence in favor of familiarity facilitation, modulated by stimulus complexity and amount/quality of prior exposure, was found. Additionally, it is noted that this behavior appears to resemble that of an autoencoder network, suggesting that autoencoder-like processing might be in part the source of these effects. Application of these results is also briefly discussed.
Effect of contact induced states on minimum conductivity in graphene
Creators: name: Golizadeh-Mojarad, Roksana
name: Datta, Supriyo
Publisher: name: arXiv
Year: 2007
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The objective of this paper is to point out that contact induced states can help explain the structure dependence of the minimum conductivity observed experimentally even if the samples were purely ballistic. Contact induced states are similar to the well-known metal induced gap states (MIGS) in metal-semiconductor Schottky junctions, which typically penetrate only a few atomic lengths into the semiconductor, while the depth of penetration decreases with increasing band gap. However, in graphene we find that these states penetrate a much longer distance of the order of the width of the contacts. As a result, ballistic graphene samples with a length less than their width can exhibit a resistance proportional to length that is not Ohmic in origin, but arises from a reduced role of contact-induced states. While actual samples are probably not ballistic and involve scattering processes, our results show that these contact induced effects need to be taken into account in interpreting experiments and minimum conductivity depends strongly on the structure and configuration (two- vs. four-terminal) used.
description: 4 pages, 4 figures
Additional file 1 of Dissecting the offshore wind and mariculture multi-use discourse: a new approach using targeted SWOT analysis
Creators: name: Schupp, Maximilian Felix
name: Krause, Gesche
name: Onyango, Vincent
name: Buck, Bela H.
Publisher: name: figshare
Year: 2021
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: (DOCX 16 kb)
Domain wall patterning and giant response functions in ferrimagnetic spinels
Creators: name: Kish, L. L.
name: Thaler, A.
name: Lee, M.
name: Zakrzewski, A. V.
name: Reig-i-Plessis, D.
name: Wolin, B.
name: Wang, X.
name: Littrell, K. C.
name: Budakian, R.
name: Zhou, H. D.
name: Zapf, V. S.
name: Aczel, A. A.
name: DeBeer-Schmitt, L.
name: MacDougall, G. J.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The manipulation of mesoscale domain wall phenomena has emerged as a powerful strategy for designing ferroelectric responses in functional devices, but its full potential has not yet been realized in the field of magnetism. We show that mechanically strained samples of Mn$_3$O$_4$ and MnV$_2$O$_4$ exhibit a stripe-like patterning of the bulk magnetization below known magnetostructural transitions, similar to the structural domains reported in ferroelectric materials. Building off our previous magnetic force microscopy data, we use small angle neutron scattering to show that these patterns extend to the bulk, and demonstrate an ability to manipulate the domain walls via applied magnetic field and mechanical stress. We then connect these domains back to the anomalously large magnetoelastic and magnetodielectric response functions reported in these materials, directly correlating local and macroscopic measurements on the same crystals.
description: 19 pages, 13 figures
The QCD String with Quarks. I.Spinless Quarks
Creators: name: Dubin, A. Yu.
name: Kaidalov, A. B.
name: Simonov, Yu. A.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Starting from the QCD Lagrangian we derive the effective action for massive quark and antiquark at large distances, corresponding to the minimal area low of the Wilson loop. The path integral method is used to quantize the system and the spectrum is obtained with asymptotically linear Regge trajectories. Two dynamical regimes distinguished by the string energy--momentum distribution are found: at large orbital excitations ($l\gg 1$) the system behaves as a string and yields the Regge slope of $\frac{1}{2 πσ}$, while at small $l$ one obtains a potential-like regime for relativistic or nonrelativistic system . The problem of relative time is clarified. It is shown that in the valence quark approximation one can reduce the initial four-dimensional dynamics to the three-dimensional one. The limiting case of a pure string (without quark kinetic terms) is studied and the spectrum of the straight-line string is obtained.
description: 36 pages, preprint ITEP 17-93
Lorentz-violation-induced arrival delays of cosmological particles
Creators: name: Jacob, Uri
name: Piran, Tsvi
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We point out that previous studies of possible Lorentz-violating effects in astronomical time-of-flight data did not take into account the entire implications of the universe's cosmological expansion. We present the derivation of the accurate formulation of the problem and show that the resulting correction of the limits on Lorentz violation is significant.
description: references to additional studies of GRB data added
title: Gazette SHCC, cycle 9, Corps, séance du 15 décembre 2016
Creators: name: Schmidt, Nicolas
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2021

description: Relation: http://purl.org/poi/crdo.vjf.cnrs.fr/cocoon-5601960a-9f8b-45b2-8196-0a9f8be5b2a2
Quasi-Linear Evolution of Compensated Cosmological Perturbations: The Nonlinear Sigma Model
Creators: name: Jaffe, Andrew H.
Publisher: name: arXiv
Year: 1993
Subjects: subject: Astrophysics (astro-ph)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We consider the evolution of perturbations to a flat FRW universe that arise from a ``stiff source,'' such as a self-ordering cosmic field that forms in a global symmetry-breaking phase transition and evolves via the Kibble mechanism. Although the linear response of the normal matter to the source depends on the details of the source dynamics, we show that the higher-order non-linear perturbative equations reduce to a form identical to those of source-free Newtonian gravity in the small wavelength limit. Consequently, the resulting $n$-point correlation functions and their spectral counterparts will have a hierarchical contribution arising from this gravitational evolution (as in the source-free case) in addition to that possibly coming from non-Gaussian initial conditions. We apply this formalism to the $O(N)$ nonlinear sigma model at large $N$ and find that observable differences from the case of initially Gaussian perturbations and Newtonian gravity in the bispectrum and higher-order correlations are not expected on scales smaller than about $100\,h^{-1}{\rm Mpc}$.
description: 30 pages; ReVTeX file; two uuencoded figures; FERMILAB-Pub-93/317-A
Scattering of massive W bosons into gravitinos and tree unitarity in broken supergravity
Creators: name: Ferrantelli, Andrea
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The WW scattering into gravitino and gaugino is here investigated in the broken phase, by using both gauge and mass eigenstates. Differently from what is obtained for unbroken gauge symmetry, we find in the scattering amplitudes new structures, which can lead to violation of unitarity above a certain scale. This happens because, in the annihilation diagram, the longitudinal degrees of freedom in the propagator of the gauge bosons disappear from the amplitude, by virtue of the SUGRA vertex. We show that the longitudinal polarizations of the on-shell W become strongly interacting in the high energy limit, and that the inclusion of diagrams with off-shell scalars of the MSSM does not cancel the divergences.
description: 26 pages, 17 figures. Uses JHEP3.cls, epsfig.sty and axodraw.sty. Some references, together with Ward identities in the basis of mass eigenstates, have been added. Version accepted for publication in JHEP
title: National Drug Strategy Household Survey 2019
Creators: name: Australian Institute of Health and Welfare
Publisher: name: Australian Institute of Health and Welfare
Year: 2020
Subjects: subject: FOS: Health sciences

description: The 2019 National Drug Strategy Household Survey report showed that:
•fewer Australians are smoking tobacco daily, while the use of e-cigarettes is increasing
•more Australians are giving up or reducing their alcohol intake, driven by health concerns
•rates of substance use are falling among younger generations (less likely to smoke, drink and use illicit drugs)
•non-medical pharmaceutical use is down, driven by a fall in the use of pain-killers.
Recognition of Acoustic Events Using Masked Conditional Neural Networks
Creators: name: Medhat, Fady
name: Chesmore, David
name: Robinson, John
Publisher: name: arXiv
Year: 2018
Subjects: subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Automatic feature extraction using neural networks has accomplished remarkable success for images, but for sound recognition, these models are usually modified to fit the nature of the multi-dimensional temporal representation of the audio signal in spectrograms. This may not efficiently harness the time-frequency representation of the signal. The ConditionaL Neural Network (CLNN) takes into consideration the interrelation between the temporal frames, and the Masked ConditionaL Neural Network (MCLNN) extends upon the CLNN by forcing a systematic sparseness over the network's weights using a binary mask. The masking allows the network to learn about frequency bands rather than bins, mimicking a filterbank used in signal transformations such as MFCC. Additionally, the Mask is designed to consider various combinations of features, which automates the feature hand-crafting process. We applied the MCLNN for the Environmental Sound Recognition problem using the Urbansound8k, YorNoise, ESC-10 and ESC-50 datasets. The MCLNN have achieved competitive performance compared to state-of-the-art Convolutional Neural Networks and hand-crafted attempts.
description: Restricted Boltzmann Machine, RBM, Conditional Restricted Boltzmann Machine, CRBM, Conditional Neural Networks, CLNN, Masked Conditional Neural Networks, MCLNN, Deep Neural Network, Environmental Sound Recognition, ESR
Constraints on the cohomological correspondence associated to a self map
Creators: name: Shuddhodan, K. V.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14G17, 14G99

description: In this article we establish some constraints on the eigenvalues for the action of a self map of a proper variety on its $\ell$-adic cohomology. The essential ingredients are a trace formula due to Fujiwara, and the theory of weights.
description: v2 Includes changes made based on referee's report. Final version to appear in Compositio Mathematica
Theoretical Uncertainties and Phenomenological Aspects of $B \rightarrow X_s γ$ Decay
Creators: name: Buras, A. J.
name: Misiak, M.
name: Muenz, M.
name: Pokorski, S.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We analyze uncertainties in the theoretical prediction for the inclusive branching ratio $BR[B \rightarrow X_s γ]$. We find that the dominant uncertainty in the leading order expression comes from its $μ$-dependence. We discuss a next-to-leading order calculation of $B \rightarrow X_s γ$ in general terms and check to what extent the $μ$-dependence can be reduced in such a calculation. We present constraints on the Standard and Two-Higgs-Doublet Model parameters coming from the measurement of $b \rightarrow s γ$ decay. The current theoretical uncertainties do not allow one to definitively restrict the Standard Model parameters much beyond the limits coming from other experiments. The bounds on the Two-Higgs-Doublet Model remain very strong, though significantly weaker than the ones present in the recent literature. In the Two-Higgs-Doublet Model case, the $b \rightarrow s γ$, $Z \rightarrow b \bar{b}$ and $b \rightarrow c τ\barν_τ$ processes are enough to give the most restrictive bounds in the $M_{H^{\pm}}-tan β$ plane.
description: 22 pages (including figures), MPI-Ph/93-77, TUM-T31-50/93
Solution of Cross-Kerr Interaction Combined with Parametric Amplification
Creators: name: Khorasani, Sina
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a full operator approach to treatment of the cross-Kerr interaction combined with parametric amplification. It is shown that this problem can be exactly integrated using the method of higher-order operators. While the initial basis is infinite-dimensional, an orthogonal transformation can reduce the problem exactly into a six-dimensional basis which can be integrated conveniently.
ALMA reveals molecular cloud N55 in the Large Magellanic Cloud as a site of massive star formation
Creators: name: Naslim, N
name: Tokuda, K.
name: Onishi, T.
name: Kemper, F.
name: Wong, T.
name: Morata, O.
name: Takada, S.
name: Harada, R.
name: Kawamura, A.
name: Saigo, K.
name: Indebetouw, R.
name: Madden, S. C.
name: Hony, S.
name: Meixner, M.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present the molecular cloud properties of N55 in the Large Magellanic Cloud using $^{12}$CO(1-0) and $^{13}$CO(1-0) observations obtained with Atacama Large Millimeter Array. We have done a detailed study of molecular gas properties, to understand how the cloud properties of N55 differ from Galactic clouds. Most CO emission appears clumpy in N55, and molecular cores that have YSOs show larger linewidths and masses. The massive clumps are associated with high and intermediate mass YSOs. The clump masses are determined by local thermodynamic equilibrium and virial analysis of the $^{12}$CO and $^{13}$CO emissions. These mass estimates lead to the conclusion that, (a) the clumps are in self-gravitational virial equilibrium, and (b) the $^{12}$CO(1-0)-to-H$_2$ conversion factor, X$_{\rm CO}$, is 6.5$\times$10$^{20}$cm$^{-2}$(K km s$^{-1}$)$^{-1}$. This CO-to-H$_2$ conversion factor for N55 clumps is measured at a spatial scale of $\sim$0.67 pc, which is about two times higher than the X$_{\rm CO}$ value of Orion cloud at a similar spatial scale. The core mass function of N55 clearly show a turnover below 200M$_{\odot}$, separating the low-mass end from the high-mass end. The low-mass end of the $^{12}$CO mass spectrum is fitted with a power law of index 0.5$\pm$0.1, while for $^{13}$CO it is fitted with a power law index 0.6$\pm$0.2. In the high-mass end, the core mass spectrum is fitted with a power index of 2.0$\pm$0.3 for $^{12}$CO, and with 2.5$\pm$0.4 for $^{13}$CO. This power-law behavior of the core mass function in N55 is consistent with many Galactic clouds.
description: Accepted to ApJ
An analytical approximation of the evolution of the primordial curvature perturbation in the ultraslow-roll inflation
Creators: name: Zhao, Ji-Xiang
name: Li, Nan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Cosmic inflation can enter an ultraslow-roll (USR) stage, if there is a plateau on the inflaton potential. During this stage, the primordial curvature perturbation ${\mathcal R}_k$ and its power spectrum ${\mathcal P}_{\mathcal R}$ can be remarkably enhanced on small scales. In this work, an analytical approximation is provided to systematically study the evolution of ${\mathcal R}_k$ in the USR inflation. We first discuss the asymptotic solutions of the moduli and arguments of ${\mathcal R}_k$ and its time derivative ${\mathcal R}_{k,N}$ on the sub- and super-horizon scales separately and find that all these solutions have simple exponential forms. Then, ${\mathcal R}_k$ on five typical scales are investigated in order. Our analytical approximation predicts that ${\mathcal R}_k$ first revolves around the origin in the complex plane, but if it crosses the horizon around the start of the USR stage, there appears a subsequent linear evolution towards or away from the origin. This behavior naturally explains the shape of ${\mathcal P}_{\mathcal R}$ from the sharp dip to the peak and matches the numerical results perfectly. Moreover, the minimum of ${\mathcal P}_{\mathcal R}$ is exactly proved to be nonvanishing. Our analytical approximation will help the model building in primordial black hole and gravitational wave physics.
description: References added
Additional file 1 of Using human centered design to identify opportunities for reducing inequities in perinatal care
Creators: name: Nijagal, Malini A.
name: Patel, Devika
name: Lyles, Courtney
name: Liao, Jennifer
name: Chehab, Lara
name: Williams, Schyneida
name: Sammann, Amanda
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 1. Appendix 1: Interview guide. Appendix 2: Verbal Descriptions and Prompt Questions for Prototypes. Appendix 3: Questionnaires for Feedback and Scoring.
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features
Creators: name: Sun, Yunzhuo
name: Xu, Yifang
name: Xie, Zien
name: Shu, Yukun
name: Du, Sidan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Moment retrieval (MR) and highlight detection (HD) aim to identify relevant moments and highlights in video from corresponding natural language query. Large language models (LLMs) have demonstrated proficiency in various computer vision tasks. However, existing methods for MR\&HD have not yet been integrated with LLMs. In this letter, we propose a novel two-stage model that takes the output of LLMs as the input to the second-stage transformer encoder-decoder. First, MiniGPT-4 is employed to generate the detailed description of the video frame and rewrite the query statement, fed into the encoder as new features. Then, semantic similarity is computed between the generated description and the rewritten queries. Finally, continuous high-similarity video frames are converted into span anchors, serving as prior position information for the decoder. Experiments demonstrate that our approach achieves a state-of-the-art result, and by using only span anchors and similarity scores as outputs, positioning accuracy outperforms traditional methods, like Moment-DETR.
description: 5 pages, 3 figures
Human Remains and the Limits of Artistic Re-Appropriation in Photography and Film: Interview with Artist Tal Adler and Curator Anna Szöke
Creators: name: Hannouch, Hanin
Publisher: name: Cinergie – Il Cinema e le altre Arti
Year: 2020
Subjects: Human Remains; Photography; Video; Artistic Research; Anthropological Collection; Contested Heritage

description: Cinergie – Il Cinema e le altre Arti, No 17 (2020)
Does face-to-face teaching compared to online teaching improve undergraduate student exam performance in functional musculoskeletal anatomy? A causal inference approach.
Creators: name: Diong, Joanna
Publisher: name: OSF Registries
Year: 2025
Subjects: subject: Anatomy
subject: Public Health
subject: Medicine and Health Sciences
subject: Education
subject: Musculoskeletal System
subject: Scholarship of Teaching and Learning
subject: Epidemiology
subject: Higher Education
subject: Educational Assessment, Evaluation, and Research

description: This study aims to determine if face-to-face teaching compared to online teaching improves student performance in functional musculoskeletal anatomy.
The Incidental Effects of Sadness on the Planning Fallacy
Creators: name: Mangan, William V.
Publisher: name: Carnegie Mellon University
Year: 2007
Subjects: subject: 170202 Decision Making
subject: FOS: Psychology

description: The planning fallacy is a judgment bias in which people underestimate the time it takes to compete a task, even though they are aware that similar projects have taken longer than what they currently estimate (Kahneman & Tversky, 1979). Determinants of time estimation hinge on one’s depth of processing and sense of uncertainty regarding the task (Griffin, et al., 1990); two domains that are relevant to the experience of sadness. Combined with evidence that incidental emotions carry over to affect normatively unrelated scenarios (Lerner, & Loewenstein, 2003), it is posited that sadness will have an effect in time estimations. Specifically, it is hypothesized that sadness will attenuate the planning fallacy because of its tendency to encourage systematic thought. The present study randomly divided participants into either a sadness or neutral condition and asked them to estimate how long it would take to complete a formatting task on the computer. It then asked participants to complete the task. Results replicated the planning fallacy but did not support the hypothesis of a sadness carry-over effect. The discussion considers limitations of the present study and proposes future directions