cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Acute stress enhances the sensitivity for facial emotions: a signal detection approach
Creators: name: Domes, Gregor
name: Zimmer, Patrick
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Neuroscience
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Facial emotion recognition is an important prerequisite for social cognition. There is, however, limited evidence on how the ability to detect facial emotions is influenced by acute stress and the associated physiological reactions. In this study, two groups of healthy male participants were either exposed to a psychosocial stressor – an adaptation of the Trier Social Stress Test in virtual reality (n = 23) – or a non-stressful control task in the virtual environment (n = 20). Afterwards, both groups completed a computerized facial recognition task based on the signal detection theory presenting happy vs. angry faces with three different expression intensities. Saliva samples were taken at seven time points over the course of the experiment and used to analyze concentrations of free salivary cortisol and alpha amylase. Analyses using repeated-measures analyses of variance revealed a significant increase in emotion detection performance and significantly shorter response latencies in the stress group independent of emotional valence or emotion intensity. However, increased task performance in the stress group could not be predicted by stress-induced cortisol or alpha amylase secretion. The results suggest that enhanced detection of emotional cues after stress might be an adaptive response as an increased sensitivity to social cues might help individuals to detect potential threats or sources of social support in their social environment.Lay SummarySocially evaluative stress facilitates the subsequent recognition of emotions. After having performed a task in a virtual environment, two groups of participants were asked to detect emotion expressions on pictures of faces that were presented to them on a computer screen. Statistical comparison of groups indicates that the group that had previously been subjected to a stressful job interview showed better results and became faster in detecting displayed emotions than the control group that had previously performed a non-stressful task. Socially evaluative stress facilitates the subsequent recognition of emotions. After having performed a task in a virtual environment, two groups of participants were asked to detect emotion expressions on pictures of faces that were presented to them on a computer screen. Statistical comparison of groups indicates that the group that had previously been subjected to a stressful job interview showed better results and became faster in detecting displayed emotions than the control group that had previously performed a non-stressful task.
Comment on "T-dependence of the magnetic penetration depth in unconventional superconductors at low temperatures: Can it be linear?"
Creators: name: Volovik, G. E.
Publisher: name: arXiv
Year: 1998
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We show that the clean superconductor with line of gap nodes is not in conflict with the Nernst theorem. The answer to the question in the title of the Schopohl-Dolgov paper in Phys. Rev. Lett. 80 (1998) 4761 (cond-mat/9802264) is yes.
description: Comment to the paper by Schopohl and Dolgov in Phys. Rev. Lett. 80 (1998) 4761 (cond-mat/9802264), RevTex file, 1 page, no figures, typos are corrected, submitted to Phys. Rev. Lett
KIC 2568888: To be or not to be a binary
Creators: name: Themeßl, N.
name: Hekker, S.
name: Mints, A.
name: García, R. A.
name: de Montellano, A. García Saravia Ortiz
name: Stetson, P. B.
name: De Ridder, J.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: In cases where both components of a binary system show oscillations, asteroseismology has been proposed as a method to identify the system. For KIC 2568888, observed with $Kepler$, we detect oscillation modes for two red giants in a single power density spectrum. Through an asteroseismic study we investigate if the stars have similar properties, which could be an indication that they are physically bound into a binary system. While one star lies on the red giant branch (RGB), the other, more evolved star, is either a RGB or asymptotic-giant-branch star. We found similar ages for the red giants and a mass ratio close to 1. Based on these asteroseismic results we propose KIC 2568888 as a rare candidate binary system ($\sim 0.1\%$ chance). However, when combining the asteroseismic data with ground-based $BVI$ photometry we estimated different distances for the stars, which we cross-checked with $Gaia$ DR2. From $Gaia$ we obtained for one object a distance between and broadly consistent with the distances from $BVI$ photometry. For the other object we have a negative parallax with a not yet reliable $Gaia$ distance solution. The derived distances challenge a binary interpretation and may either point to a triple system, which could explain the visible magnitudes, or, to a rare chance alignment ($\sim 0.05\%$ chance based on stellar magnitudes). This probability would even be smaller, if calculated for close pairs of stars with a mass ratio close to unity in addition to similar magnitudes, which may indeed indicate that a binary scenario is more favourable.
description: 12 pages, 5 figures, 4 tables; accepted for publication in ApJ
A Closer Look at Taylor & Francis’s Data Policy
Creators: name: Sutton, Caroline
name: Jones, Leila
name: Hardeman, Megan
name: Team Figshare
Publisher: name: figshare
Year: 2019
Subjects: subject: Library and Information Studies
subject: FOS: Media and communications

description: - Taylor & Francis have released a set of five data sharing policies across their publications
- Authors submitting to a journal with a data policy are supported with information on relevant data repositories and guidance for the process of sharing that data
- Taylor & Francis’s 2019 roadmap for data sharing policy implementation is to work with editors and societies to move as many journals as possible to more progressive policies
Anomalous Hall effect in trigonal Cr$_5$Te$_8$ single crystal
Creators: name: Liu, Yu
name: Petrovic, C.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We report anomalous Hall effect (AHE) and transport properties of trigonal Cr$_5$Te$_8$ (tr-Cr$_5$Te$_8$) single crystals. The electrical resistivity as well as the Seebeck coefficient shows a clear kink at the paramagnetic-ferromagnetic transition of tr-Cr$_5$Te$_8$, which is also confirmed by the heat capacity measurement. The scaling behavior between anomalous Hall resistivity $ρ^A_{xy}$ and longitudinal resistivity $ρ_{xx}$ is linear below $T_c$. Further analysis suggests that the AHE in tr-Cr$_5$Te$_8$ is dominated by the skew-scattering mechanism rather than the intrinsic or extrinsic side-jump mechanism.
On (Random-order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs
Creators: name: MacRury, Calum
name: Ma, Will
name: Grammel, Nathaniel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: Discrete Mathematics (cs.DM)
subject: Combinatorics (math.CO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: F.2.2; G.2.2

description: Online Contention Resolution Schemes (OCRS's) represent a modern tool for selecting a subset of elements, subject to resource constraints, when the elements are presented to the algorithm sequentially. OCRS's have led to some of the best-known competitive ratio guarantees for online resource allocation problems, with the added benefit of treating different online decisions -- accept/reject, probing, pricing -- in a unified manner. This paper analyzes OCRS's for resource constraints defined by matchings in graphs, a fundamental structure in combinatorial optimization. We consider two dimensions of variants: the elements being presented in adversarial or random order; and the graph being bipartite or general. We improve the state of the art for all combinations of variants, both in terms of algorithmic guarantees and impossibility results. Some of our algorithmic guarantees are best-known even compared to Contention Resolution Schemes that can choose the order of arrival or are offline. All in all, our results for OCRS directly improve the best-known competitive ratios for online accept/reject, probing, and pricing problems on graphs in a unified manner.
description: This version improves our previous bipartite RCRS lower bound from 0.4761 to 0.4789
Squilloidea Latreille 1902
Creators: name: Steck, Mireille
name: Winnicki, Elizabeth
name: Kobayashi, Donald R.
name: Whitney, Jonathan L.
name: Ahyong, Shane T.
name: Porter, Megan L.
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Malacostraca
Stomatopoda

description: Squilloidea   Alima-type larvae (Fig. 2A) are exclusive to the superfamily Squilloidea, which also contains the genus Alima. Currently the superfamily Squilloidea only contains the family Squillidae, and therefore one subtype is designated for this group. Adult squilloids are known to inhabit sandy or muddy-sand habitats from the intertidal zone to shelf and slope at depths, but are most common in subtidal shelf habitats. They typically build simple U-shaped burrows (Caldwell 1988). All larvae collected for this study were found in offshore pelagic habitats except for the last-stage larvae, which likely had returned inshore to the fine sand beach at Kailua to settle into juveniles.
description: Published as part of Steck, Mireille, Winnicki, Elizabeth, Kobayashi, Donald R., Whitney, Jonathan L., Ahyong, Shane T. & Porter, Megan L., 2022, Hawaiian larval stomatopods: molecular and morphological diversity, pp. 235-260 in Zootaxa 5214 (2) on page 241, DOI: 10.11646/zootaxa.5214.2.5, http://zenodo.org/record/7385060
Gain-Scheduling Controller Synthesis for Nested Systems with Full Block Scalings
Creators: name: Rösinger, Christian A.
name: Scherer, Carsten W.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: This work presents a framework to synthesize structured gain-scheduled controllers for structured plants whose dynamics change according to time-varying scheduling parameters. Both the system and the controller are assumed to admit descriptions in terms of a linear time-invariant system in feedback with so-called scheduling blocks, which collect all scheduling parameters into a static system. We show that such linear fractional representations permit to exploit a so-called lifting technique in order to handle several structured gain-scheduling design problems. These could arise from a nested inner and outer loop control configuration with partial or full dependence on the scheduling variables. Our design conditions are formulated in terms of convex linear matrix inequalities and permit to handle multiple performance objectives.
description: 16 pages, 5 figures. This article has been accepted for publication in IEEE Transactions on Automatic Control
SNITCH: Seeking a simple, informative star formation history inference tool
Creators: name: Smethurst, R. J.
name: Merrifield, M.
name: Lintott, C. J.
name: Masters, K. L.
name: Simmons, B. D.
name: Fraser-McKelvie, A.
name: Peterken, T.
name: Boquien, M.
name: Riffel, R. A.
name: Drory, N.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Deriving a simple, analytic galaxy star formation history (SFH) using observational data is a complex task without the proper tool to hand. We therefore present SNITCH, an open source code written in Python, developed to quickly (~2 minutes) infer the parameters describing an analytic SFH model from the emission and absorption features of a galaxy spectrum dominated by star formation gas ionisation. SNITCH uses the Flexible Stellar Population Synthesis models of Conroy et al. (2009), the MaNGA Data Analysis Pipeline and a Markov Chain Monte Carlo method in order to infer three parameters (time of quenching, rate of quenching and model metallicity) which best describe an exponentially declining quenching history. This code was written for use on the MaNGA spectral data cubes but is customisable by a user so that it can be used for any scenario where a galaxy spectrum has been obtained, and adapted to infer a user-defined analytic SFH model for specific science cases. Herein we outline the rigorous testing applied to SNITCH and show that it is both accurate and precise at deriving the SFH of a galaxy spectra. The tests suggest that SNITCH is sensitive to the most recent epoch of star formation but can also trace the quenching of star formation even if the true decline does not occur at an exponential rate. With the use of both an analytical SFH and only five spectral features, we advocate that this code be used as a comparative tool across a large population of spectra, either for integral field unit data cubes or across a population of galaxy spectra.
description: Accepted 2019 January 21. Received 2019 January 17; in original form 2018 October 12
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies
Creators: name: Fowler, Charlotte
name: Cai, Xiaoxuan
name: Baker, Justin T.
name: Onnela, Jukka-Pekka
name: Valeri, Linda
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: The use of digital devices to collect data in mobile health (mHealth) studies introduces a novel application of time series methods, with the constraint of potential data missing at random (MAR) or missing not at random (MNAR). In time series analysis, testing for stationarity is an important preliminary step to inform appropriate later analyses. The augmented Dickey-Fuller (ADF) test was developed to test the null hypothesis of unit root non-stationarity, under no missing data. Beyond recommendations under data missing completely at random (MCAR) for complete case analysis or last observation carry forward imputation, researchers have not extended unit root non-stationarity testing to a context with more complex missing data mechanisms. Multiple imputation with chained equations, Kalman smoothing imputation, and linear interpolation have also been proposed for time series data, however such methods impose constraints on the autocorrelation structure, and thus impact unit root testing. We propose maximum likelihood estimation and multiple imputation using state space model approaches to adapt the ADF test to a context with missing data. We further develop sensitivity analysis techniques to examine the impact of MNAR data. We evaluate the performance of existing and proposed methods across different missing mechanisms in extensive simulations and in their application to a multi-year smartphone study of bipolar patients.
Efficient Syndrome Decoder for Heavy Hexagonal QECC via Machine Learning
Creators: name: Bhoumik, Debasmita
name: Majumdar, Ritajit
name: Madan, Dhiraj
name: Vinayagamurthy, Dhinakaran
name: Raghunathan, Shesha
name: Sur-Kolay, Susmita
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Theory (cs.IT)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Error syndromes for heavy hexagonal code and other topological codes such as surface code have typically been decoded by using Minimum Weight Perfect Matching (MWPM) based methods. Recent advances have shown that topological codes can be efficiently decoded by deploying machine learning (ML) techniques, in particular with neural networks. In this work, we first propose an ML based decoder for heavy hexagonal code and establish its efficiency in terms of the values of threshold and pseudo-threshold, for various noise models. We show that the proposed ML based decoding method achieves $\sim5 \times$ higher values of threshold than that for MWPM.
 Next, exploiting the property of subsystem codes, we define gauge equivalence for heavy hexagonal code, by which two distinct errors can belong to the same error class. A linear search based method is proposed for determining the equivalent error classes. This provides a quadratic reduction in the number of error classes to be considered for both bit flip and phase flip errors, and thus a further improvement of $\sim 14\%$ in the threshold over the basic ML decoder. Lastly, a novel technique based on rank to determine the equivalent error classes is presented, which is empirically faster than the one based on linear search.
description: This paper is published in ACM Transactions on Quantum Computing. Link https://dl.acm.org/doi/abs/10.1145/3636516
Massive particle interferometry with lattice solitons
Creators: name: Naldesi, Piero
name: Polo, Juan
name: Drummond, Peter D.
name: Dunjko, Vanja
name: Amico, Luigi
name: Minguzzi, Anna
name: Olshanii, Maxim
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We discuss an interferometric scheme employing interference of bright solitons formed as specific bound states of attracting bosons on a lattice. We revisit the proposal of Castin and Weiss [Phys. Rev. Lett. vol. 102, 010403 (2009)] for using the scattering of a quantum matter-wave soliton on a barrier in order to create a coherent superposition state of the soliton being entirely to the left of the barrier and being entirely to the right of the barrier. In that proposal, it was assumed that the scattering is perfectly elastic, i.e.\ that the center-of-mass kinetic energy of the soliton is lower than the chemical potential of the soliton. Here we relax this assumption: By employing a combination of Bethe ansatz and DMRG based analysis of the dynamics of the appropriate many-body system, we find that the interferometric fringes persist even when the center-of-mass kinetic energy of the soliton is above the energy needed for its complete dissociation into constituent atoms.
description: arXiv admin note: substantial text overlap with arXiv:2201.10479
Local Entropies across the Mott Transition in an Exactly Solvable Model
Creators: name: Yeo, Luke
name: Phillips, Philip W.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study entanglement in the Hatsugai-Kohmoto model, which exhibits a continuous interaction-driven Mott transition. By virtue of the all-to-all nature of its center-of-mass conserving interactions, the model lacks dynamical spectral weight transfer, which is the key to intractability of the Hubbard model for $d>1$. In order to maintain a non-trivial Mott-like electron propagator, SU(2) symmetry is preserved in the Hamiltonian, leading to a ground state that is mixed on both sides of the phase transition. Because of this mixture, even the metal in this model is unentangled between any pair of sites, unlike free fermions whose ground state carries a filling-dependent site-site entanglement. We focus on the scaling behavior of the one- and two-site entropies $s_1$ and $s_2$, as well as the entropy density $s$, of the ground state near the Mott transition. At low temperatures in the two-dimensional Hubbard model, it was observed numerically (Walsh et al., 2018, arXiv:1807.10409) that $s_1$ and $s$ increase continuously into the metal, across a first-order Mott transition. In the Hatsugai-Kohmoto model, $s_1$ acquires the constant value $\ln4$ even at the Mott transition. The ground state's non-trivial entanglement structure is manifest in $s_2$ and $s$ which decrease into the metal, and thereby act as sharp signals of the Mott transition in any dimension. Specifically, we find that in one dimension, $s_2$ and $s$ exhibit kinks at the transition while in $d=2$, only $s$ exhibits a kink.
description: 9 pages, 3 figures
IRAM and Gaia views of multi-episodic star formation in IC1396A: The origin and dynamics of the Class 0 protostar at the edge of an HII region
Creators: name: Sicilia-Aguilar, Aurora
name: Patel, Nimesh
name: Fang, Min
name: Roccatagliata, Veronica
name: Getman, Konstantin
name: Goldsmith, Paul
Publisher: name: arXiv
Year: 2018
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: (Abridged) IC1396A is a cometary globule containing the Class 0 source IC1396A-PACS-1. We use IRAM 30m and Gaia DR2 data to explore the star-formation history of IC1396A and investigate the possibilities of triggered star formation. IRAM and Herschel continuum data reveal dust temperatures and column densities. Heterodyne data reveal the velocity structure of the gas. Gaia DR2 proper motions for the stars complete the kinematics of the region. IC1396A-PACS-1 shows molecular emission similar to a hot corino with warm carbon chain chemistry, and is surrounded by gas at velocities significantly different from the velocities of the Tr37 cluster. Combining the velocity, column density, and temperature information and Gaia DR2 kinematics, we confirm that IC1396A has suffered various episodes of star formation. IC1396A-PACS-1 is probably the last intermediate-mass protostar that will form within IC1396A, showing evidence of triggering by radiative driven implosion. Chemical signatures place IC1396A-PACS-1 among the youngest protostars known. Gaia DR2 data reveal velocities in the plane of the sky $\sim$4km/s for IC1396A with respect to Tr37. The total velocity difference (8 km/s) between the Tr37 cluster and IC1396A is too small for IC1396A to have undergone substantial rocket acceleration, which imposes constraints on the distance to the ionizing source in time and the possibilities of triggered star formation. The three stellar populations in the globule reveal that objects located within relatively close distances ($
description: A\&A in press, 20 pages plus appendix
Beyond scaling relations for the description of catalytic materials
Creators: name: Andersen, Mie
name: Levchenko, Sergey V.
name: Scheffler, Matthias
name: Reuter, Karsten
Publisher: name: arXiv
Year: 2019
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Computational screening for new and improved catalyst materials relies on accurate and low-cost predictions of key parameters such as adsorption energies. Here, we use recently developed compressed sensing methods to identify descriptors whose predictive power extends over a wide range of adsorbates, multi-metallic transition metal surfaces and facets. The descriptors are expressed as non-linear functions of intrinsic properties of the clean catalyst surface, e.g. coordination numbers, d-band moments and density of states at the Fermi level. From a single density-functional theory calculation of these properties, we predict adsorption energies at all potential surface sites, and thereby also the most stable geometry. Compared to previous approaches such as scaling relations, we find our approach to be both more general and more accurate for the prediction of adsorption energies on alloys with mixed-metal surfaces, already when based on training data including only pure metals. This accuracy can be systematically improved by adding also alloy adsorption energies to the training data.
description: This document is the unedited Author's version of a Submitted Work that was subsequently accepted for publication in ACS Catalysis, copyright American Chemical Society after peer review. To access the final edited and published work see https://pubs.acs.org/doi/10.1021/acscatal.8b04478
Using Large Language Models to Enhance Programming Error Messages
Creators: name: Leinonen, Juho
name: Hellas, Arto
name: Sarsa, Sami
name: Reeves, Brent
name: Denny, Paul
name: Prather, James
name: Becker, Brett A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: A key part of learning to program is learning to understand programming error messages. They can be hard to interpret and identifying the cause of errors can be time-consuming. One factor in this challenge is that the messages are typically intended for an audience that already knows how to program, or even for programming environments that then use the information to highlight areas in code. Researchers have been working on making these errors more novice friendly since the 1960s, however progress has been slow. The present work contributes to this stream of research by using large language models to enhance programming error messages with explanations of the errors and suggestions on how to fix the error. Large language models can be used to create useful and novice-friendly enhancements to programming error messages that sometimes surpass the original programming error messages in interpretability and actionability. These results provide further evidence of the benefits of large language models for computing educators, highlighting their use in areas known to be challenging for students. We further discuss the benefits and downsides of large language models and highlight future streams of research for enhancing programming error messages.
description: 7 pages, accepted for publication at SIGCSE TS 2023
Optical photometry of V4334 Sgr (Sakurai's Object)
Creators: name: Duerbeck, H. W.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The optical photometric evolution of the final helium flash object V4334 Sgr from 1994 to 2000 is described. The rise to optical maximum (1994 - 1996) is characterized by a continuous increase of color indices, indicating a slowly expanding, cooling pseudo-photosphere. This photosphere became stationary in 1997. In the following years, the object underwent brightness declines of increasing strength, which are similar in character to the ``red declines'' of R CrB stars. The fading of V4334 Sgr is more dramatic than any brightness decline of an R CrB star: at present, only 1/100000 of the visual light reaches the observer. Most radiation is absorbed by the dust envelope and re-radiated in the infrared. The sparse optical data of 2000 show that the obscuration has not increased in strength any more. The light curve of V4334 Sgr is similar to that of the final helium flash object V605 Aql which erupted in 1919.
description: LaTeX, 10 pages, 5 ps-figures, to be published in ApSS
Figures S1 - S7 from Studies on chain shuttling polymerization reaction of nonbridged half-titanocene and bis(phenoxy-imine) Zr binary catalyst system
Creators: name: Qinwen Xu
name: Gao, Rong
name: Dongbing Liu
Publisher: name: The Royal Society
Year: 2019
Subjects: subject: 30306 Synthesis of Materials
subject: FOS: Chemical sciences
subject: 30399 Macromolecular and Materials Chemistry not elsewhere classified
subject: 30503 Organic Chemical Synthesis
subject: 39904 Organometallic Chemistry

description: Figure S1: The effect of the amount of ZnEt2 on the melting point and melting enthalpy of ethylene polymers obtained with the dual-catalyst system; Figure S2 - S4: 13C NMR spectra of the polymers (Runs 9,11 and 14) at 100 ℃; Figure S5: The effect of the 1-octene on the molecular weight and polydispersity of polymers obtained with individual catalysts; Figure S6: The effect of the 1-octene on the melting point and melting enthalpy of polymers obtained with individual catalysts; Figure S7: The effect of ZnEt2 on the melting point and melting enthalpy of copolymers obtained with individual catalysts
Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues
Creators: name: Gong, Yuan
name: Poellabauer, Christian
Publisher: name: arXiv
Year: 2018
Subjects: subject: Cryptography and Security (cs.CR)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Over the last few years, a rapidly increasing number of Internet-of-Things (IoT) systems that adopt voice as the primary user input have emerged. These systems have been shown to be vulnerable to various types of voice spoofing attacks. Existing defense techniques can usually only protect from a specific type of attack or require an additional authentication step that involves another device. Such defense strategies are either not strong enough or lower the usability of the system. Based on the fact that legitimate voice commands should only come from humans rather than a playback device, we propose a novel defense strategy that is able to detect the sound source of a voice command based on its acoustic features. The proposed defense strategy does not require any information other than the voice command itself and can protect a system from multiple types of spoofing attacks. Our proof-of-concept experiments verify the feasibility and effectiveness of this defense strategy.
description: Proceedings of the 27th International Conference on Computer Communications and Networks (ICCCN), Hangzhou, China, July-August 2018. arXiv admin note: text overlap with arXiv:1803.09156
1D Quantum transport in the even-chain spin-ladder compound Sr2.5Ca11.5Cu24O41 and YBa2Cu4O8
Creators: name: Moshchalkov, V. V.
name: Trappeniers, L.
name: Vanacken, J.
Publisher: name: arXiv
Year: 1999
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The temperature dependence of the resistivity r(T) of the novel Sr2.5Ca11.5Cu24O41 ladder compound under hydrostatic pressure of up to 8 GPa has been explained by assuming that the relevant length scale for electrical transport is given by the magnetic correlation length related to the opening of a spin-gap in a 1D even-chain spin-ladder (1D-SL). The pressure dependence of the gap was extracted by applying this model to r(T) data obtained at different pressures. The r(T) dependence of the underdoped cuprate YBa2Cu4O8 demonstrates a remarkable scaling with the r(T) of the 1D-SL compound Sr2.5Ca11.5Cu24O41. This scaling implies that underdoped cuprates at Tc < T < T* are in the 1D regime and their pseudo-gap below T* is the spin-gap in the even-chain 1D-SL formed at T < T* in these materials.
description: 10 pages, all PDF, contribution to Europhys.Lett."
Dynamical analysis of the redshift drift in FLRW universes
Creators: name: Lobo, Francisco S. N.
name: Mimoso, José Pedro
name: Santiago, Jessica
name: Visser, Matt
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Redshift drift is the phenomenon whereby the observed redshift between an emitter and observer comoving with the Hubble flow in an expanding FLRW universe will slowly evolve -- on a timescale comparable to the Hubble time. In a previous article [JCAP 04 (2020) 043; arXiv 2001.11964] three of the current authors had performed a cosmographic analysis of the redshift drift in a FLRW universe, temporarily putting aside the issue of dynamics (the Friedmann equations). In the current article we now add dynamics, still within the framework of an exact FLRW universe. We shall develop a suitable generic matter model and apply it to both standard FLRW and various dark energy models. Furthermore, we shall also present a section analyzing the utility of using alternative cosmographic variables to describe the redshift drift data.
description: V1: 34 pages, 4 figures. V2: 37 pages, 19 figures. New section added. V3: Reformatted and edited, now 24 pages. (This version closely resembles the published version.)
Dynamics of Phase Behavior of a Polymer Blend Under Shear Flow
Creators: name: Sun, Tao
name: Balazs, Anna C.
name: Jasnow, David
Publisher: name: arXiv
Year: 1997
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We study the dynamics of the phase behavior of a polymer blend in the presence of shear flow. By adopting a two fluid picture and using a generalization of the concept of material derivative, we construct kinetic equations that describe the phase behavior of polymer blends in the presence of external flow. A phenomenological form for the shear modulus for the blend is proposed. The study indicates that a nonlinear dependence of the shear modulus of the blend on the volume fraction of one of the species is crucial for a shift in the stability line to be induced by shear flow.
description: 16 pages, latex
Possible pressure-induced topological quantum phase transition in the nodal line semimetal ZrSiS
Creators: name: VanGennep, D.
name: Paul, T. A.
name: Yerger, C. W.
name: Weir, S. T.
name: Vohra, Y. K.
name: Hamlin, J. J.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: ZrSiS has recently gained attention due to its unusual electronic properties: nearly perfect electron-hole compensation, large, anisotropic magneto-resistance, multiple Dirac nodes near the Fermi level, and an extremely large range of linear dispersion of up to 2 eV. We have carried out a series of high pressure electrical resistivity measurements on single crystals of ZrSiS. Shubnikov-de Haas measurements show two distinct oscillation frequencies. For the smaller orbit, we observe a change in the phase of 0.5, which occurs between 0.16 - 0.5 GPa. This change in phase is accompanied by an abrupt decrease of the cross-sectional area of this Fermi surface. We attribute this change in phase to a possible topological quantum phase transition. The phase of the larger orbit exhibits a Berry phase of pi and remains roughly constant up to 2.3 GPa. Resistivity measurements to higher pressures show no evidence for pressure-induced superconductivity to at least 20 GPa.
description: 5 pages, 3 figures
Aharonov-Anandan Effect Induced by Spin-Orbit Interaction and Charge-Density-Waves in Mesoscopic Rings
Creators: name: Yi, Ya-Sha
name: Bishop, A. R.
Publisher: name: arXiv
Year: 1998
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study the spin-dependent geometric phase effect in mesoscopic rings of charge-density-wave(CDW) materials. When electron spin is explicitly taken into account, we show that the spin-dependent Aharonov-Casher phase can have a pronounced frustration effects on such CDW materials with appropriate electron filling. We show that this frustration has observable consequences for transport experiment. We identify a phase transition from a Peierls insulator to metal, which is induced by spin-dependent phase interference effects. Mesoscopic CDW materials and spin-dependent geometric phase effects, and their interplay, are becoming attractive opportunities for exploitation with the rapid development of modern fabrication technology.
description: 5 pages, 6 figures, to appear in Phys.Rev.B(Aug.15, 1998)
Improved enantioselectivity of E. coli BioH in kinetic resolution of methyl (S)-3-cyclohexene-1-carboxylate by combinatorial modulation of steric and aromatic interactions
Creators: name: Xiafen Wu
name: Shengli Yang
name: Hongwei Yu
name: Lidan Ye
name: Bingmei Su
name: Zehui Shao
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Molecular Biology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Plant Biology

description: As a chiral precursor for the important anticoagulant Edoxaban, enantioselective synthesis of (S)-3-cyclohexene-1-carboxylic acid is of great significance. The complicated procedures and generation of massive solid waste discourage its chemical synthesis, and the alternative biocatalysis route calls for an enzyme capable of asymmetric hydrolysis of racemic methyl-3-cyclohexene-1-carboxylate. To this end, we engineered the E. coli esterase BioH for improved S-enantioselectivity via rational design. By combinatorial modulation of steric and aromatic interactions, a positive mutant Mu3 (L24A/W81A/L209A) with relatively high S-selectivity in hydrolyzing racemic methyl-3-cyclohexene-1-carboxylate was obtained, improving the enantiomeric excess from 32.3% (the wild type) to 70.9%. Molecular dynamics simulation was conducted for both (R)- or (S)- complexes of the wild type and Mu3 to provide hints for the mechanism behind the increased S-selectivity. Moreover, the reaction conditions of Mu3 in methyl-3-cyclohexene-1-carboxylate hydrolysis was optimized to improve the conversion rate to 2 folds. Rational design of BioH with enhanced enantioselectivity towards methyl (S)-3-cyclohexene-1-carboxylate.
Dynamics of a string coupled to gravitational waves II - Perturbations propagate along an infinite Nambu-Goto string
Creators: name: Nakamura, Kouji
name: Ishihara, Hideki
Publisher: name: arXiv
Year: 2000
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Astrophysics (astro-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The perturbative modes propagating along an infinite string are investigated within the framework of the gauge invariant perturbation formalism on a spacetime containing a self-gravitating straight string with a finite thickness. These modes are not included in our previous analysis. We reconstruct the perturbation formalism to discuss these modes and solve the linearized Einstein equation within the first order with respect to the string oscillation amplitude. In the thin string case, we show that the oscillations of an infinite string must involve the propagation of cosmic string traveling wave.
description: 4 pages (2 columns), no figure, revtex with multicol.sty. To appear in Physical Review D
La substitution induced linear temperature dependence of electrical resistivity and Kondo behavior in the alloys, Ce_{2-x}La_{x}CoSi_{3}
Creators: name: Majumdar, Subham
name: Kumar, M. Mahesh
name: Mallik, R.
name: Sampathkumaran, E. V.
Publisher: name: arXiv
Year: 1999
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The results of electrical resistivity, heat capacity and magnetic susceptibility behavior of new class of alloys, Ce_{2-x}La_{x}CoSi_{3}, are reported. The x= 0.0 alloy is mixed valent and La substitution for Ce (x= 0.25) induces linear temperature dependence of resistivity at low temperatures, an observation of relevance to the topic of non-Fermi liquid behavior. The modifications of Kondo effect for all the alloys are also presented.
description: Accepted for publication in Solid State Communications
Glutamate 1-semialdehyde aminotransferase is connected to GluTR by GluTR-binding protein and contributes to the rate-limiting step of 5-aminolevulinic acid synthesis
Creators: name: Sinha, Neha
name: Eirich, Jürgen
name: Finkemeier, Iris
name: Grimm, Bernhard
Publisher: name: Humboldt-Universität zu Berlin
Year: 2022
Subjects: subject: 570 Biologie

description: Tetrapyrroles play fundamental roles in crucial processes including photosynthesis, respiration, and catalysis. In plants, 5-aminolevulinic acid (ALA) is the common precursor of tetrapyrroles. ALA is synthesized from activated glutamate by the enzymes glutamyl-tRNA reductase (GluTR) and glutamate-1-semialdehyde aminotransferase (GSAAT). ALA synthesis is recognized as the rate-limiting step in this pathway. We aimed to explore the contribution of GSAAT to the control of ALA synthesis and the formation of a protein complex with GluTR. In Arabidopsis thaliana, two genes encode GSAAT isoforms: GSA1 and GSA2. A comparison of two GSA knockout mutants with the wild-type revealed the correlation of reduced GSAAT activity and ALA-synthesizing capacity in leaves with lower chlorophyll content. Growth and green pigmentation were more severely impaired in gsa2 than in gsa1, indicating the predominant role of GSAAT2 in ALA synthesis. Interestingly, GluTR accumulated to higher levels in gsa2 than in the wild-type and was mainly associated with the plastid membrane. We propose that the GSAAT content modulates the amount of soluble GluTR available for ALA synthesis. Several different biochemical approaches revealed the GSAAT–GluTR interaction through the assistance of GluTR-binding protein (GBP). A modeled structure of the tripartite protein complex indicated that GBP mediates the stable association of GluTR and GSAAT for adequate ALA synthesis.
Inflation word entropy for semi-compatible random substitutions
Creators: name: Gohlke, Philipp
Publisher: name: arXiv
Year: 2019
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 37B10, 37B40, 52C23

description: We introduce the concept of inflation word entropy for random substitutions with a constant and primitive substitution matrix. Previous calculations of the topological entropy of such systems implicitly used this concept and established equality of topological entropy and inflation word entropy, relying on ad hoc methods. We present a unified scheme, proving that inflation word entropy and topological entropy in fact coincide. The topological entropy is approximated by a converging series of upper and lower bounds which, in many cases, lead to an analytic expression.
Assessment of Teaching Process Modification in Orthopedic Surgery (BMOR 501) and Clinical Experience in Orthopedic Surgery I (BMOR 512) Courses During the Corona Virus (COVID-19) Outbreak Among the Fifth-Year Medical Students in 2020, Department of Orthopedic, Faculty of Medicine Vajira Hospital, Navamindrahiraj University
Creators: name: Sutee Thaveepunsan
name: Natthapong Hongku
Publisher: name: Text and Journal Publication
Year: 2021
Subjects: online medical teaching
medical student
COVID-19
effectiveness

description: Vajira Medical Journal, 65, 3, 235-244
Operation of a Multi-Actor Platform in a transdisciplinary project focused on agro-ecological transitions
Creators: name: Miller, David
name: Smyrniotopoulou, Alexandra
name: Irvine, Kate
name: Vlahos, George
name: Schwarz, Gerald
name: Budniok, Marie-Alice
Publisher: name: Zenodo
Year: 2021

description: The Multi-actor Platforms have demonstrable benefits of joint working to tackle societal challenges, with adding value of strengthening networks between actors. This policy brief of the H2020 UNISECO project provides recommendations for improving the adoption of Multi-Actor Platforms. This Policy Brief is one of a set produced by the H2020 UNISECO project. Others are accessible on the Zenodo repository under the UNISECO Community. UNISECO is a European research project aiming to develop innovative approaches to enhance the understanding of socio-economic and policy drivers and barriers for further development and implementation of agro-ecological practices in EU farming systems. Learn more about the project: https://uniseco-project.eu/ This project has received funding from the European Union's H2020 research and innovation programme under grant agreement No 773901. This publication reflects only the authors' view and the European Commission is not responsible for any use that may be made of the information it contains.
Exponential time-decay for a one dimensional wave equation with coefficients of bounded variation
Creators: name: Datchev, Kiril
name: Shapiro, Jacob
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: We consider the initial-value problem for a one-dimensional wave equation with coefficients that are positive, constant outside of an interval, and have bounded variation (BV). Under the assumption of compact support of the initial data, we prove that the local energy decays exponentially fast in time, and provide the explicit constant to which the solution converges. The key ingredient of the proof is a high frequency resolvent estimate for an associated Helmholtz operator with a BV potential.
description: 17 pages
Kamimuria circumspina Li, Mo & Yang 2019
Creators: name: Huo, Qing-Bo
name: Xiang, Ya-Nan
name: Rehman, Abdur
name: Du, Yu-Zhou
name: Zhu, Bin-Qing
name: Murányi, Dávid
Publisher: name: Zenodo
Year: 2022
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Plecoptera
Perlidae
Kamimuria
Kamimuria circumspina

description: Kamimuria circumspina Li, Mo & Yang, 2019
http://lsid.speciesfile.org/urn:lsid: Plecoptera.speciesfile.org:TaxonName:508121
 Kamimuria circumspina: Li et al. 2019: 139; Yan et al. 2021: 555.
 Distribution: China (Guizhou, Fujian).
description: Published as part of Huo, Qing-Bo, Xiang, Ya-Nan, Rehman, Abdur, Du, Yu-Zhou, Zhu, Bin-Qing & Murányi, Dávid, 2022, Review of Kamimuria (Plecoptera: Perlidae) from Zhejiang and Fujian provinces, China, with notes on the morphological variability of K. tienmushanensis Wu, 1938, pp. 273-284 in Zootaxa 5214 (2) on page 274, DOI: 10.11646/zootaxa.5214.2.7, http://zenodo.org/record/7385106
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
Creators: name: Deshpande, Saurabh
name: Bordas, Stéphane P. A.
name: Lengiewicz, Jakub
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Computer and information sciences

description: In many cutting-edge applications, high-fidelity computational models prove to be too slow for practical use and are therefore replaced by much faster surrogate models. Recently, deep learning techniques have increasingly been utilized to accelerate such predictions. To enable learning on large-dimensional and complex data, specific neural network architectures have been developed, including convolutional and graph neural networks. In this work, we present a novel encoder-decoder geometric deep learning framework called MAgNET, which extends the well-known convolutional neural networks to accommodate arbitrary graph-structured data. MAgNET consists of innovative Multichannel Aggregation (MAg) layers and graph pooling/unpooling layers, forming a graph U-Net architecture that is analogous to convolutional U-Nets. We demonstrate the predictive capabilities of MAgNET in surrogate modeling for non-linear finite element simulations in the mechanics of solids.