cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Changes in electric-field noise due to thermal transformation of a surface ion trap
Creators: name: Berlin-Udi, Maya
name: Matthiesen, Clemens
name: Lloyd, P. N. Thomas
name: Alonso, Alberto M.
name: Noel, Crystal
name: Saarel, Benjamin
name: Orme, Christine A.
name: Kim, Chang-Eun
name: Nelson, Art J.
name: Ray, Keith G.
name: Lordi, Vincenzo
name: Häffner, Hartmut
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Atomic Physics (physics.atom-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We aim to illuminate how the microscopic properties of a metal surface map to its electric-field noise characteristics. In our system, prolonged heat treatments of a metal film can induce a rise in the magnitude of the electric-field noise generated by the surface of that film. We refer to this heat-induced rise in noise magnitude as a thermal transformation. The underlying physics of this thermal transformation process is explored through a series of heating, milling, and electron treatments performed on a single surface ion trap. Between these treatments, $^{40}$Ca$^+$ ions trapped 70~$μ$m above the surface of the metal are used as detectors to monitor the electric-field noise at frequencies close to 1~MHz. An Auger spectrometer is used to track changes in the composition of the contaminated metal surface. With these tools we investigate contaminant deposition, chemical reactions, and atomic restructuring as possible drivers of thermal transformations.
Gauge invariant formulation of the self-interacting Duffin-Kemmer-Petiau equations
Creators: name: Jarvis, P. D.
name: Inglis, S. M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We show that the Duffin-Kemmer-Petiau equation, minimally coupled to an Abelian gauge field, can be regarded as a matrix equation for the gauge potential produced internally from the matter fields. This can be solved as a rational expression in terms of currents bilinear in the matter wavefunction, together with a similar expression for the field strength tensor, thus providing a gauge invariant formulation of the self-interacting DKP equations. We give the derivation of this result for the 5 component DKP system, by analogy with the Dirac equation case. To this end, we establish the algebraic structure of the set of bilinear currents, and the properties of the minimal generating set, which consists of two scalars and two four-vectors, together with a single quadratic constraint.
description: 8 pages, LaTeX
Additional file 5 of Protocol and programme factors associated with referral and loss to follow-up from newborn hearing screening: a systematic review
Creators: name: Mackey, Allison R.
name: Bussé, Andrea M. L.
name: Del Vecchio, Valeria
name: Mäki-Torkko, Elina
name: Uhlén, Inger M.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 5. Summary of findings for programme determinants, divided into protocol-, individual- and organizational-levels.
Introduction to gravitational wave astronomy
Creators: name: Bishop, Nigel T.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: This chapter provides an overview of gravitational wave (GW) astronomy, providing background material that underpins the other, more specialized chapters in this handbook. It starts with a brief historical review of the development of GW astronomy, from Einstein's prediction of GWs in 1916 to the first direct detection in 2015. It presents the theory of linearized perturbations about Minkowski spacetime of Einstein's equations, and shows how gauge transformations reduce the problem to the standard wave equation with two degrees of freedom, or polarizations, $h_+,h_\times$. We derive the quadrupole formula, which relates the motion of matter in a source region to the far GW field. It is shown that GWs carry energy, as well as linear and angular momentum, away from a source. The GW field of an orbiting circular binary is found; and properties of the evolution of the binary including rate of inspiral and time to coalescence, are calculated. A brief review is given of existing and proposed GW detectors, and of how to estimate source parameters in LIGO or Virgo data of a GW event. The contributions that GW observations have already made to physics, astrophysics and cosmology are discussed.
description: To be published in "Handbook of Gravitational Wave Astronomy"
Superconformal Index for $\mathcal{N}=3$ $\hat{ADE}$ Chern-Simons Quiver Gauge Theories
Creators: name: Patra, Moumita
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We compute superconformal indices for $\mathcal{N} = 3$ $\hat{ADE}$ Chern-Simons quiver gauge theories with a product gauge group $\prod_i U(N)_i$, using the method of supersymmetric localization. We also perform a large $N$ analysis of the index. This index includes contribution from non zero magnetic flux sector. The fact that these theories have a weakly coupled UV completion in terms of $\mathcal{N}= 3$ supersymmetric Chern-Simons Yang-Mills theories enables us to apply the localization technique. Such theories have dual M-theory description on $\mathrm{AdS}_4\times M_7$, where $M_7$ is a tri-Sasaki Einstein manifold.
description: Version published in journal
Additional file 1 of Racial disparities in breast cancer preclinical and clinical models
Creators: name: Clarke, Shannique
name: Chin, Sheray N.
name: Dodds, Leah
name: George, Sophia H. L.
name: Badal, Simone
Publisher: name: figshare
Year: 2022
Subjects: subject: Pharmacology
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1. Racial diversity of breast cancer clinical trials funded by various organizations N = number of participants.
An analytical study of flatness and intermittency through Riemann's non-differentiable functions
Creators: name: Eceizabarrena, Daniel
name: Da Rocha, Victor Vilaça
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: Classical Analysis and ODEs (math.CA)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 76F99, 42A16, 33E20, 28A80

description: In the study of turbulence, intermittency is a measure of how much Kolmogorov's theory of 1941 deviates from experiments. It is quantified with the flatness of the velocity of the fluid, usually based on structure functions in the physical space. However, it can also be defined with Fourier high-pass filters. Experimental and numerical simulations suggest that the two approaches do not always give the same results. Our purpose is to compare them from the analytical point of view of functions. We do that by studying generalizations of Riemann's non-differentiable function, yielding computations that are related to some classical problems in Fourier analysis. The conclusion is that the result strongly depends on regularity. To visualize this, we establish an analogy between these generalizations and the influence of viscosity in turbulent flows. This article is motivated by the mathematical works on the multifractal formalism and the discovery of Riemann's non-differentiable function as a trajectory of polygonal vortex filaments.
description: Accepted manuscript. To appear in SIAM Journal on Mathematical Analysis
TRA2024 Poster - SELFY - Self Assessment, Protection & Healing Tools for a Trustworthy and Resilient CCAM
Creators: name: Jimenez, Victor
name: Reyes de los Mozos, Mario
name: Perea Paños, Pau
name: Fritzsche, Paula Cecilia
name: Gomez Buquerin, Kevin
name: Volkersdorfer, Tina
name: Hof, Hans-Joachim
name: Couturier, Christophe
name: Ernst, Thierry
name: Zhang, Miao
name: Rodríguez-Arozamena, Mario
name: Aranguren-Mendieta, Iñigo
name: Pérez, Joshué
name: Jousse, Adrien
name: Murguia, Carlos
name: van de Wouw, Nathan
name: Bellessort, Romain
name: Salami, Behzad
name: Jevtić, Aleksandar
name: Bannour, Boutheina
name: Rodríguez Recasens, Manel
name: Ropero, Isaac
name: Ozbay, Burcu
name: Eren, Ali
name: Bektas, Mustafa
name: Tezcan, Deryanur
name: Pilz, Christoph
name: Haas, Sarah
name: Lenz, Gernot
Publisher: name: Zenodo
Year: 2024
Subjects: Cooperative Connected Automated Mobility (CCAM)
Cybersecurity
Privacy
Trust
Resilience
Situational Awareness
Self-Management Security

description: Cooperative Connected Automated Mobility (CCAM) will improve the mobility ecosystem of millions of citizens in Europe and  around the world. However, as defined by the CCAM’s SRIA[1] (Strategic Research and Innovation Agenda), Key Enabling  Technologies such as cybersecurity are required to provide robustness and resilience. SELFY tools provide a partial solution but go beyond by proposing a collaborative environment between all CCAM elements by sharing and fusing data and increasing the  awareness, robustness and trust of the overall CCAM system. SELFY researches and implements a set of tools that are agnostic to

OEMs and suppliers, being easily integrated in service and product development processes from the design stage, considering the full ODD of the different CCAM scenarios. SELFY’s solution has the goal to promote an improvement of the effectiveness rate in  detecting vulnerable vehicles and security breaches.
description: This project has received funding from the Horizon Europe programme under grant agreement No. 101069748.
Additional file 2 of Racial disparities in breast cancer preclinical and clinical models
Creators: name: Clarke, Shannique
name: Chin, Sheray N.
name: Dodds, Leah
name: George, Sophia H. L.
name: Badal, Simone
Publisher: name: figshare
Year: 2022
Subjects: subject: Pharmacology
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 2. Cell lines supplied by the ATCC and ECACC disaggregated by race N = number of cell lines.
Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
Creators: name: Montero, David
name: Aginako, Naiara
name: Sierra, Basilio
name: Nieto, Marcos
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.5.3

description: In this work, we address the problem of large-scale online face clustering: given a continuous stream of unknown faces, create a database grouping the incoming faces by their identity. The database must be updated every time a new face arrives. In addition, the solution must be efficient, accurate and scalable. For this purpose, we present an online gaussian mixture-based clustering method (OGMC). The key idea of this method is the proposal that an identity can be represented by more than just one distribution or cluster. Using feature vectors (f-vectors) extracted from the incoming faces, OGMC generates clusters that may be connected to others depending on their proximity and their robustness. Every time a cluster is updated with a new sample, its connections are also updated. With this approach, we reduce the dependency of the clustering process on the order and the size of the incoming data and we are able to deal with complex data distributions. Experimental results show that the proposed approach outperforms state-of-the-art clustering methods on large-scale face clustering benchmarks not only in accuracy, but also in efficiency and scalability.
description: 14 pages, 11 figures
I bisogni linguistici nei corsi di italiano L2 rivolti ad utenti vulnerabili
Creators: name: Nitti, Paolo
Publisher: name: Fondazione Università Ca’ Foscari Venezia, Italia
Year: 2019

description:

This paper presents the results of a research on language educational practices related to the teaching of Italian as a second language (ISL), aimed at learners in the situation of vulnerability and disadvantage. In many contexts of welcoming, the need to reconcile the first reception practices relating to housing, sustenance and health, with the dimension of language teaching, is evident. The ISL teachers who work within emergency frameworks often experience a feeling of discomfort connected to the motivational dynamics: if the students receive the necessities of the essentials from those who deal with the reception and expect to stay in Italy for a short period of time, it is possible that there will not be intrinsic motivation for studying and exercising the language. The survey, divided into several operational phases, is based on a questionnaire submitted to the teaching staff that deals with the ISL education within the contexts of reception. The most significant aspect of the data analysis is the absence of communicative needs compared to the daily life of the students.

description: EL.LE
The Snyder-de Sitter Scalar $φ^4_{\star}$ Quantum Field Theory in D=2
Creators: name: Franchino-Viñas, S. A.
name: Mignemi, S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We study the two-dimensional version of a quartic self-interacting quantum scalar field on a curved and noncommutative space (Snyder-de Sitter). We show that the model is renormalizable at the one-loop level and compute the beta functions of the related couplings. The renormalization group flow is then studied numerically, arriving at the conclusion that noncommutative-curved deformations can yield both relevant and irrelevant contributions to the one-loop effective action.
description: 12 pages, 3 figures
Additional file 1 of Disparities in dialysis modality decision-making using a social-ecological lens: a qualitative approach
Creators: name: Vélez-Bermúdez, Miriam
name: Adamowicz, Jenna L.
name: Askelson, Natoshia M.
name: Lutgendorf, Susan K.
name: Fraer, Mony
name: Christensen, Alan J.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Marine Biology
subject: Science Policy

description: Additional file 1.
Subjective Assessment Experiments That Recruit Few Observers With Repetitions (FOWR)
Creators: name: Perez, Pablo
name: Janowski, Lucjan
name: Garcia, Narciso
name: Pinson, Margaret
Publisher: name: arXiv
Year: 2021
Subjects: subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: Recent studies have shown that it is possible to characterize subject bias and variance in subjective assessment tests. Apparent differences among subjects can, for the most part, be explained by random factors. Building on that theory, we propose a subjective test design where three to four team members each rate the stimuli multiple times. The results are comparable to a high performing objective metric. This provides a quick and simple way to analyze new technologies and perform pre-tests for subjective assessment.
description: IEEE Transactions on Multimedia
A class of high-order weighted compact central schemes for solving hyperbolic conservation laws
Creators: name: Shen, Hua
name: Parsani, Matteo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We propose a class of weighted compact central (WCC) schemes for solving hyperbolic conservation laws. The linear version can be considered as a high-order extension of the central Lax-Friedrichs (LxF) scheme and the central conservation element and solution element (CESE) scheme. On every cell, the solution is approximated by a Pth order polynomial of which all the DOFs are stored and updated separately. The cell average is updated by a classical finite volume scheme which is constructed based on space-time staggered meshes such that the fluxes are continuous across the interfaces of the adjacent control volumes and, therefore, the local Riemann problem is bypassed. The kth order spatial derivatives are updated by a central difference of (k-1)th order spatial derivatives at cell vertices. All the space-time information is calculated by the Cauchy-Kovalewski procedure. By doing so, the schemes are able to achieve arbitrarily uniform spacetime high order on a super-compact stencil with only one explicit time step. In order to capture discontinuities without spurious oscillations, a weighted essentially non-oscillatory (WENO) type limiter is tailor-made for the schemes. The limiter preserves the compactness and high order accuracy of the schemes. The accuracy, robustness, and efficiency of the schemes are verified by several numerical examples of scalar conservation laws and the compressible Euler equations.
Additional file 2 of Disparities in dialysis modality decision-making using a social-ecological lens: a qualitative approach
Creators: name: Vélez-Bermúdez, Miriam
name: Adamowicz, Jenna L.
name: Askelson, Natoshia M.
name: Lutgendorf, Susan K.
name: Fraer, Mony
name: Christensen, Alan J.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Marine Biology
subject: Science Policy

description: Additional file 2.
Mission Design for the TAIJI misson and Structure Formation in Early Universe
Creators: name: Gong, Xuefei
name: Xu, Shengnian
name: Gui, Shanquan
name: Huang, Shuanglin
name: Lau, Yun-Kau
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Gravitational wave detection in space promises to open a new window in astronomy to study the strong field dynamics of gravitational physics in astrophysics and cosmology. The present article is an extract of a report on a feasibility study of gravitational wave detection in space, commissioned by the National Space Science Center, Chinese Academy of Sciences almost a decade ago. The objective of the study was to explore various possible mission options to detect gravitational waves in space alternative to that of the (e)LISA mission concept and look into the requirements on the technological fronts. On the basis of relative merits and balance between science and technological feasibility, a set of representative mission options were studied and in the end a mission design was recommended as the starting point for research and development in the Chinese Academy of Sciences. The mission design was eventually adopted by the current TAIJI mission as the baseline parameters for the project. Subject to technological constraints, the baseline parameters of the TAIJI mission were designed in such a way to optimise the capability of a spaceborne gravitational wave detector to probe high redshift light seed, intermediate mass black holes and thereby shed important light on the structure formation in early Universe.
description: Two authors added to the preprint, to appear in "Handbook of Gravitational Wave Astronomy, Springer". arXiv admin note: text overlap with arXiv:1410.7296
The Extremely Metal-Poor SN 2023ufx: A Local Analog to High-Redshift Type II Supernovae
Creators: name: Tucker, Michael A.
name: Hinkle, Jason
name: Angus, Charlotte R.
name: Auchettl, Katie
name: Hoogendam, Willem B.
name: Shappee, Benjamin
name: Kochanek, Christopher S.
name: Ashall, Chris
name: de Boer, Thomas
name: Chambers, Kenneth C.
name: Desai, Dhvanil D.
name: Do, Aaron
name: Fulton, Michael D.
name: Gao, Hua
name: Herman, Joanna
name: Huber, Mark
name: Lidman, Chris
name: Lin, Chien-Cheng
name: Lowe, Thomas B.
name: Magnier, Eugene A.
name: Martin, Bailey
name: Minguez, Paloma
name: Nicholl, Matt
name: Pursiainen, Miika
name: Smartt, S. J.
name: Smith, Ken W.
name: Srivastav, Shubham
name: Tucker, Brad E.
name: Wainscoat, Richard J.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present extensive observations of the Type II supernova (SN II) 2023ufx which is likely the most metal-poor SN II observed to-date. It exploded in the outskirts of a low-metallicity ($Z_{\rm host} \sim 0.1~Z_\odot$) dwarf ($M_g = -13.23\pm0.15$~mag; $r_e\sim 1$~kpc) galaxy. The explosion is luminous, peaking at $M_g\approx -18.5~$mag, and shows rapid evolution. The $r$-band (pseudo-bolometric) light curve has a shock-cooling phase lasting 20 (17) days followed by a 19 (23)-day plateau. The entire optically-thick phase lasts only $\approx 55~$days following explosion, indicating that the red supergiant progenitor had a thinned H envelope prior to explosion. The early spectra obtained during the shock-cooling phase show no evidence for narrow emission features and limit the pre-explosion mass-loss rate to $\dot{M} \lesssim 10^{-3}~\rm M_\odot$/yr. The photospheric-phase spectra are devoid of prominent metal absorption features, indicating a progenitor metallicity of $\lesssim 0.1~Z_\odot$. The semi-nebular ($\sim 60-130~$d) spectra reveal weak Fe II, but other metal species typically observed at these phases (Ti II, Sc II, Ba II) are conspicuously absent. The late-phase optical and near-infrared spectra also reveal broad ($\approx 10^4~\rm{km}~\rm s^{-1}$) double-peaked H$α$, P$β$, and P$γ$ emission profiles suggestive of a fast outflow launched during the explosion. Outflows are typically attributed to rapidly-rotating progenitors which also prefer metal-poor environments. This is only the second SN II with $\lesssim 0.1~Z_\odot$ and both exhibit peculiar evolution, suggesting a sizable fraction of metal-poor SNe II have distinct properties compared to nearby metal-enriched SNe II. These observations lay the groundwork for modeling the metal-poor SNe II expected in the early Universe.
description: 17 pages, 15 figures and 3 tables in main text, an additional 5 pages, 4 figures, and 2 tables in the appendix. Accepted by ApJ, spectra and photometry are included as ancillary data
Generazioni 2.0 e produzioni scritte
Creators: name: Firpo, Elena
Publisher: name: Fondazione Università Ca’ Foscari Venezia, Italia
Year: 2019

description:

The purpose of this article is to investigate the written productions carried out by pupils of Spanish-speaking origin of 2.0 generation of the Italian secondary school. The research question is inspired by a previous analysis (Firpo 2014) which aims to study the communicative linguistic preknowledge related to the Academic Language of foreign students of Spanish-speaking heritage language. The test was an adaptation of the Italstudio test (Firpo 2014). The test was divided into three sections: Language, Comprehension and Writing. This test was also used during the experimentation to verify the evolution of students' learning through repeated tests sessions. The same test was also submitted in Spanish to the sample of the Spanish-speaking heritage language. In this article we will analyze only the Italian written productions of a sample of 23 language students of Spanish-speaking heritage language of 2.0 generation.

description: EL.LE
Additional file 1 of Neurologic manifestations of COVID-19 in critically ill patients: results of the prospective multicenter registry PANDEMIC
Creators: name: Dimitriadis, Konstantinos
name: Meis, Jan
name: Neugebauer, Hermann
name: Barlinn, Kristian
name: Neumann, Bernhard
name: Gahn, Georg
name: Lochner, Piergiorgio
name: Knier, Benjamin
name: Lindemann, Sarah
name: Sühs, Kurt Wolfram
name: Szabo, Kristina
name: Pfefferkorn, Thomas
name: Schirotzek, Ingo
name: Freilinger, Tobias
name: Burc, Bassa
name: Günther, Albrecht
name: Wittstock, Matthias
name: Schramm, Patrick
name: Reimann, Gernot
name: Godau, Jana
name: Nagy, Gabor
name: Koenig, Fatima B.
name: Essig, Fabian
name: Klinker, Hartwig
name: Hartmann, Christian
name: Schmidbauer, Moritz L.
name: Steinberg, Tim
name: Lefterova, Lora
name: Klose, Christina
name: Bösel, Julian
Publisher: name: figshare
Year: 2022
Subjects: subject: Neuroscience
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1. Additional information on Methods (list of parameters listed in the eCRF, list of categories of disorders and underlying diseases, definitions and statistics. Supplement Table 1: Neurologic past medical history according to disease categories (multiple answers possible). Supplement Table 2: PANDEMIC inclusion criteria and COVID state of disease according to disease categories (multiple answers possible). Supplement Table 3: Neurologic symptoms according to disease categories in 392 patients (multiple answers possible). Supplement Table 4: Diagnostic findings in 392 patients (multiple answers possible). Supplement Table 5: Factors influencing the occurrence of a disease category. Supplement Table 6: Factors influencing the occurrence of most common diseases. Supplement Table 7: Factors influencing the decision to therapy limitation.
Teachers’ Perception of Motivational Strategies in the Language Classroom
Creators: name: Cucinotta, Giacomo
Publisher: name: Fondazione Università Ca’ Foscari Venezia, Italia
Year: 2019

description:

Motivation can determine success or failure in second language learning process, however there is a limited number of published investigations dedicated to motivational strategies in a European context. The purpose of the present study is to replicate Cheng’s and Dörnyei’s (2007) research to test the validity of their findings in a different cultural milieu. 101 foreign language (FL) and second language (L2) teachers were asked to rate a list of 47 motivational strategies according based on the degree of importance they perceived. In addition, they were also invited to specify how they acquainted with each strategy. The results of the study suggest that, even though the use of motivational strategies is decidedly context-dependent, the prevailing importance of some strategies might be cross-cultural. In particular, strategies related to classroom climate could also be considered as preconditions to employ further strategies. The highest-rated strategies are also indicated as acquired mostly through experience, which highlights the far too little attention that motivational strategies have so far received in education programmes for the formation of language teachers.

description: EL.LE
Validity and Reliability of a Test Used for Assessing University Students’ Academic Language Proficiency
Creators: name: Mezzadri, Marco
name: Sisti, Flora
Publisher: name: Fondazione Università Ca’ Foscari Venezia, Italia
Year: 2019

description:

This article presents a test model developed to assess university students’ academic language proficiency. The context is that of Italian universities, which are required by law to assess first year students’ initial preparation. Drawing on the literature regarding test construct, it explores the validity and reliability of the test through the analysis of the data collected during an experimental implementation phase carried out at the Universities of Genova, Parma and Urbino.

description: EL.LE
Parallelized Discrete Exterior Calculus for Three-Dimensional Elliptic Problems
Creators: name: Boom, Pieter D.
name: Seepujak, Ashley
name: Kosmas, Odysseas
name: Margetts, Lee
name: Jivkov, Andrey
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Software (cs.MS)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: A formulation of elliptic boundary value problems is used to develop the first discrete exterior calculus (DEC) library for massively parallel computations with 3D domains. This can be used for steady-state analysis of any physical process driven by the gradient of a scalar quantity, e.g. temperature, concentration, pressure or electric potential, and is easily extendable to transient analysis. In addition to offering this library to the community, we demonstrate one important benefit from the DEC formulation: effortless introduction of strong heterogeneities and discontinuities. These are typical for real materials, but challenging for widely used domain discretization schemes, such as finite elements. Specifically, we demonstrate the efficiency of the method for calculating the evolution of thermal conductivity of a solid with a growing crack population. Future development of the library will deal with transient problems, and more importantly with processes driven by gradients of vector quantities.
Le iniziative italiane per la promozione della lingua e della cultura italiana all’estero
Creators: name: Sholkamy Abdelgawad, Mohey Eddin
Publisher: name: Fondazione Università Ca’ Foscari Venezia, Italia
Year: 2019

description:

The present study tackles the initiatives via which Italy is promoting the Italian language and culture abroad. It is aimed at compiling these initiatives in one place; this is profoundly important in the linguistic history of Italian as addressed to people outside Italy and familiarising researchers with these initiatives. This study analyses 9 initiatives that directly contribute to promoting the Italian language and culture outside Italy. The final conclusion of the study is that the Italian government and people are keen on supporting these initiatives and publicising them among non-Italian communities in Italy as well as abroad, which brings about disseminating not only a language or a culture but a whole state system (language, culture, economics, politics, etc.).

description: EL.LE
Additional file 1 of Does lumbar MRI predict degree of disability in patients with degenerative disc disease? A prospective cross-sectional study at University of Gondar comprehensive specialized hospital, North West Ethiopia, 2020
Creators: name: Gebrewold, Yonathan
name: Tesfaye, Bati
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Science Policy

description: Additional file 1. Supplemental material contains excerpts from patient Information sheet and questionnaire.
Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction
Creators: name: Hong, Tao
name: Xu, Xiaojian
name: Hu, Jason
name: Fessler, Jeffrey A.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Image and Video Processing (eess.IV)
subject: Optimization and Control (math.OC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics

description: Model-based methods play a key role in the reconstruction of compressed sensing (CS) MRI. Finding an effective prior to describe the statistical distribution of the image family of interest is crucial for model-based methods. Plug-and-play (PnP) is a general framework that uses denoising algorithms as the prior or regularizer. Recent work showed that PnP methods with denoisers based on pretrained convolutional neural networks outperform other classical regularizers in CS MRI reconstruction. However, the numerical solvers for PnP can be slow for CS MRI reconstruction. This paper proposes a preconditioned PnP (P^2nP) method to accelerate the convergence speed. Moreover, we provide proofs of the fixed-point convergence of the P^2nP iterates. Numerical experiments on CS MRI reconstruction with non-Cartesian sampling trajectories illustrate the effectiveness and efficiency of the P^2nP approach.
description: 16 figures, 5 tables
Energy Efficiency Optimization of Reconfigurable Intelligent Surfaces with Electromagnetic Field Exposure Constraints
Creators: name: Zappone, Alessio
name: Di Renzo, Marco
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Information Theory (cs.IT)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: This work considers the problem of energy efficiency maximization in a RIS-based communication link, subject to not only the conventional maximum power constraints, but also additional constraints on the maximum exposure to electromagnetic radiations of the end-users. The RIS phase shifts, the transmit beamforming, the linear receive filter, and the transmit power are jointly optimized, and two provably convergent and low-complexity algorithms are developed. One algorithm can be applied to the general system setups, but does not guarantee global optimality. The second algorithm is provably optimal in a notable special case. The numerical results show that RIS-based communications can ensure high energy efficiency while fulfilling users' exposure constraints to radio frequency emissions.
Nitti, Paolo (2017). La grammatica nell’insegnamento dell’italiano per stranieri. Metodi e modelli per l’acquisizione della grammatica. Saarbrücken: Edizioni Accademiche Italiane, 210 pp.
Creators: name: Ballarin, Elena
Publisher: name: Fondazione Università Ca’ Foscari Venezia, Italia
Year: 2019

description: EL.LE
On the spectrum of the Kronig-Penney model in a constant electric field
Creators: name: Frank, Rupert L.
name: Larson, Simon
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: Spectral Theory (math.SP)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We are interested in the nature of the spectrum of the one-dimensional Schrödinger operator $$ - \frac{d^2}{dx^2}-Fx + \sum_{n \in \mathbb{Z}}g_n δ(x-n) \qquad\text{in } L^2(\mathbb{R}) $$ with $F>0$ and two different choices of the coupling constants $\{g_n\}_{n\in \mathbb{Z}}$. In the first model $g_n \equiv λ$ and we prove that if $F\in π^2 \mathbb{Q}$ then the spectrum is $\mathbb{R}$ and is furthermore absolutely continuous away from an explicit discrete set of points. In the second model the $g_n$ are independent random variables with mean zero and variance $λ^2$. Under certain assumptions on the distribution of these random variables we prove that almost surely the spectrum is $\mathbb{R}$ and it is dense pure point if $F < λ^2/2$ and purely singular continuous if $F> λ^2/2$.
description: 65 pages
DeltaKWS: A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM
Creators: name: Chen, Qinyu
name: Kim, Kwantae
name: Gao, Chang
name: Zhou, Sheng
name: Jang, Taekwang
name: Delbruck, Tobi
name: Liu, Shih-Chii
Publisher: name: arXiv
Year: 2024
Subjects: subject: Hardware Architecture (cs.AR)
subject: Computer Vision and Pattern Recognition (cs.CV)
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: This paper introduces DeltaKWS, to the best of our knowledge, the first $Δ$RNN-enabled fine-grained temporal sparsity-aware KWS IC for voice-controlled devices. The 65 nm prototype chip features a number of techniques to enhance performance, area, and power efficiencies, specifically: 1) a bio-inspired delta-gated recurrent neural network ($Δ$RNN) classifier leveraging temporal similarities between neighboring feature vectors extracted from input frames and network hidden states, eliminating unnecessary operations and memory accesses; 2) an IIR BPF-based FEx that leverages mixed-precision quantization, low-cost computing structure and channel selection; 3) a 24 kB 0.6 V near-$V_\text{TH}$ weight SRAM that achieves 6.6X lower read power than the foundry-provided SRAM. From chip measurement results, we show that the DeltaKWS achieves an 11/12-class GSCD accuracy of 90.5%/89.5% respectively and energy consumption of 36 nJ/decision in 65 nm CMOS process. At 87% temporal sparsity, computing latency and energy/inference are reduced by 2.4X/3.4X, respectively. The IIR BPF-based FEx, $Δ$RNN accelerator, and 24 kB near-$V_\text{TH}$ SRAM blocks occupy 0.084 mm$^{2}$, 0.319 mm$^{2}$, and 0.381 mm$^{2}$ respectively (0.78 mm$^{2}$ in total).
description: This paper has been accepted for publication in the IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI)
Challenges for $Λ$CDM: An update
Creators: name: Perivolaropoulos, Leandros
name: Skara, Foteini
Publisher: name: arXiv
Year: 2021
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: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: A number of challenges to the standard $Λ$CDM model have been emerging during the past few years as the accuracy of cosmological observations improves. In this review we discuss in a unified manner many existing signals in cosmological and astrophysical data that appear to be in some tension ($2σ$ or larger) with the standard $Λ$CDM model as specified by the Cosmological Principle, General Relativity and the Planck18 parameter values. In addition to the well-studied $5σ$ challenge of $Λ$CDM (the Hubble $H_0$ tension) and other well known tensions (the growth tension, and the lensing amplitude $A_L$ anomaly), we discuss a wide range of other less discussed less-standard signals which appear at a lower statistical significance level than the $H_0$ tension some of them known as 'curiosities' in the data) which may also constitute hints towards new physics. For example such signals include cosmic dipoles (the fine structure constant $α$, velocity and quasar dipoles), CMB asymmetries, BAO Ly$α$ tension, age of the Universe issues, the Lithium problem, small scale curiosities like the core-cusp and missing satellite problems, quasars Hubble diagram, oscillating short range gravity signals etc. The goal of this pedagogical review is to collectively present the current status (2022 update) of these signals and their level of significance, with emphasis on the Hubble tension and refer to recent resources where more details can be found for each signal. We also briefly discuss theoretical approaches that can potentially explain some of these signals.
description: 106 pages, 22 figures, 7 tables. 2022 update (updated tables, figures, models and model constraints). Comments and suggestions for next version are welcome
Quantum versus classical $P$-divisibility
Creators: name: Benatti, Fabio
name: Chruściński, Dariusz
name: Nichele, Giovanni
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: $P$-divisibility is a central concept in both classical and quantum non-Markovian processes; in particular, it is strictly related to the notion of information backflow. When restricted to a fixed commutative algebra generated by a complete set of orthogonal projections, any quantum dynamics naturally provides a classical stochastic process. It is indeed well known that a quantum generator gives rise to a $P$-divisible quantum dynamics if and only if all its possible classical reductions give rise to divisible classical stochastic processes. Yet, this property does not hold if one operates a classical reduction of the quantum dynamical maps instead of their generators: as an example, for a unitary dynamics, $P$-divisibility of its classical reduction is inevitably lost, which thus exhibits information backflow. Instead, for some important classes of purely dissipative qubit evolutions, quantum $P$-divisibility always implies classical $P$-divisibility and thus lack of information backflow both in the quantum and classical scenarios. On the contrary, for a wide class of orthogonally covariant qubit dynamics, we show that loss of classical $P$-divisibility can originate from the classical reduction of a purely dissipative $P$-divisible quantum dynamics as in the unitary case. Moreover, such an effect can be interpreted in terms of information backflow, the information coming in being stored in the coherences of the time-evolving quantum state.
A Value Driven Framework for Cybersecurity Innovation in Transportation & Infrastructure
Creators: name: Alevizos, Lampis
name: Bhakuni, Lalit
name: Jaschke, Stefan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: This paper introduces a value-driven cybersecurity innovation framework for the transportation and infrastructure sectors, as opposed to the traditional market-centric approaches that have dominated the field. Recontextualizing innovation categories into sustaining, incremental, disruptive, and transformative, we aim to foster a culture of self-innovation within organizations, enabling a strategic focus on cybersecurity measures that directly contribute to business value and strategic goals. This approach enhances operational effectiveness and efficiency of cyber defences primarily, while also aligns cybersecurity initiatives with mission-critical objectives. We detail a practical method for evaluating the business value of cybersecurity innovations and present a pragmatic approach for organizations to funnel innovative ideas in a structured and repeatable manner. The framework is designed to reinforce cybersecurity capabilities against an evolving cyber threat landscape while maintaining infrastructural integrity. Shifting the focus from general market appeal to sector-specific needs, our framework provides cybersecurity leaders with the strategic cyber-foresight necessary for prioritizing impactful initiatives, thereby making cybersecurity a core business enabler rather than a burden.
K-adaptability in stochastic optimization
Creators: name: Prünte, Jonas
Publisher: name: Technische Universität Dortmund
Year: 2020
Subjects: subject: Stochastic optimization
subject: K-adaptability
subject: Complexity theory
subject: 510
subject: Stochastische Optimierung
subject: Komplexität
subject: Algorithmus

description: In dieser Dissertation untersuchen wir eine neue Strategie, um mit stochastischen Optimierungsproblemen umzugehen. Die stochastische Optimierung beschäftigt sich mit Problemen mit unsicheren Parametern. Unter der Annahme, dass die Verteilung dieser unsicheren Parameter bekannt ist, soll der Erwartungswert der Zielfunktion optimiert werden. Wir führen den Min-E-Min-Ansatz ein, bei dem anstatt einer Lösung K Lösungen berechnet werden. Nachdem die Realisierung der unsicheren Parameter beobachtet worden ist, wird die für die Realisierung beste Lösung ausgewählt. Wir untersuchen die Komplexität des Min-E-Min-Problems, indem wir NP-Schwere, parametrisierte Komplexität und Approximationseigenschaften detailliert analysieren. Wir zeigen, dass das Problem NP-schwer und W[2]-schwer ist, im Fall, dass K Teil des Inputs ist, selbst wenn die Menge der zulässigen Lösungen polynomiell von der Eingabegröße abhängt. Für festes K bleibt das Problem NP-schwer, wenn K größer als zwei ist. Zusätzlich beweisen wir, dass die Existenz eines polynomiellen Algorithmus mit einer konstanten Approximationsgüte für das Min-E-Min-Problem impliziert, dass P und NP gleich sind. Für das Min-E-Min-Problem mit kontinuierlicher Verteilung zeigen wir, dass allein das Evaluieren der Zielfunktion #P-schwer ist. Nichtsdestotrotz beweisen wir, dass man solche Probleme lösen kann, indem man die kontinuierliche Verteilung mit einer ausreichend großen Anzahl an Stichproben, welche derselben Verteilung folgen, diskretisiert. Neben den Komplexitätsresultaten stellen wir auch verschiedene exakte Algorithmen, unter anderem einen Branch-and-price-Algorithmus, zur Lösung des Problems vor. In einer ausführlichen experimentellen Untersuchung können wir belegen, dass je nach Situation jeder der vorgestellten Algorithmen am sinnvollsten sein kann. Darüber hinaus stellen wir verschiedene Varianten einer von uns entwickelten Heuristik vor und demonstrieren, dass diese das Min-E-Min-Problem schnell und genau lösen können. Zu guter Letzt betrachten wir auch verwandte Probleme und untersuchen ihre Komplexität.
title: Instrumental leadership and organizational change
title: a three-study investigation on the influence of instrumental leadership on employees’ change reactions within the framework of the extended full-range of leadership model
titleType: AlternativeTitle
Creators: name: Millhoff, Catrin
Publisher: name: Technische Universität Dortmund
Year: 2019
Subjects: subject: instrumental leadership
subject: extended full-range of leadership model
subject: change reactions
subject: change commitment
subject: training instrumental leadership
subject: 300

description: This dissertation examines the influence of instrumental leadership in the framework of the extended full-range of leadership model on employees’ reactions to change. Positive employee reactions are regarded as crucial for the success of organizational change processes. Besides, current research leaves many questions about effective leadership in the context of change unanswered. Therefore, the main goal of this dissertation is to investigate how instrumental leadership as an extension of the full-range of leadership model can foster employees’ positive change reactions. Within a framework model that links leadership behaviors with differentiated change reactions, three empirical multimodal studies using a triangular approach contribute to a deeper understanding of the impact of instrumental leadership during change. The first study analyzes whether instrumental leadership is a theoretically and empirically meaningful addition to the full-range of leadership behaviors by investigating interdependencies among the leadership behaviors and their change-related consequences. In the second study, the mechanisms and conditions of how instrumental leadership affects employees’ individual and team change reactions were examined in more detail. Finally, in the third study, a training for the two change-promoting leadership styles of the model – instrumental and transformational leadership – was developed and evaluated. In summary, this dissertation extends the leadership literature by demonstrating that instrumental leadership plays an important role in the change context. This strengthens the theoretical and empirical relevance of instrumental leadership as part of the extended full-range of leadership model. The main findings are that transformational leadership only has a positive influence on change support if instrumental leadership is highly developed. The results thus question the change-enhancing effect of transformational leadership on its own and expand the literature by confirming the integrative view of the extended model in times of change. Furthermore, it was shown that instrumental leadership has a positive effect on team change success and individual change support through cognitive attitudes in the team. The indirect effects are reinforced by the cognitive attitudes of the leader. Moreover, instrumental leadership can be actively enhanced by training interventions, and it became apparent that the positive development of leadership behaviors caused by the training led to an intended variation in employees’ change reactions.