cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models
Creators: name: Yu, Yue
name: Kong, Lingkai
name: Zhang, Jieyu
name: Zhang, Rongzhi
name: Zhang, Chao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: While pre-trained language model (PLM) fine-tuning has achieved strong performance in many NLP tasks, the fine-tuning stage can be still demanding in labeled data. Recent works have resorted to active fine-tuning to improve the label efficiency of PLM fine-tuning, but none of them investigate the potential of unlabeled data. We propose {\ours}, a new framework that leverages unlabeled data to improve the label efficiency of active PLM fine-tuning. AcTune switches between data annotation and model self-training based on uncertainty: it selects high-uncertainty unlabeled samples for active annotation and low-uncertainty ones for model self-training. Under this framework, we design (1) a region-aware sampling strategy that reduces redundancy when actively querying for annotations and (2) a momentum-based memory bank that dynamically aggregates the model's pseudo labels to suppress label noise in self-training. Experiments on 6 text classification datasets show that AcTune outperforms the strongest active learning and self-training baselines and improves the label efficiency of PLM fine-tuning by 56.2\% on average. Our implementation will be available at \url{https://github.com/yueyu1030/actune}.
description: NAACL 2022 Main Conference (Code: https://github.com/yueyu1030/actune)
Can quantum mechanics breed negative masses?
Creators: name: Costa, Bruno Arderucio
name: Matsas, George E. A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The Casimir effect realizes the existence of static negative energy densities in quantum field theory. We establish physically reasonable conditions for the non-negativity of the total mass of a Casimir apparatus held in equilibrium in the Minkowski background, irrespective of any condensed matter consideration. Specifically, the dynamical equilibrium requires the presence of additional matter to hold the system apart. As long as this extra matter satisfies the dominant energy condition, the mass of the combined system is positive. Thus, the very same reason why energy cannot travel backwards in time could be the underlying mechanism behind the positivity of the mass. We discuss the takeaways from the Casimir setting to more general circumstances.
description: Published version
Polaritonic Critical Coupling in a Hybrid Quasi-Bound States in the Continuum Cavity-WS$_2$ Monolayer System
Creators: name: Zhang, Xia
name: Bradley, A. Louise
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We theoretically propose and numerically demonstrate that perfect feeding of a polaritonic system with full electromagnetic energy under one-port beam incidence, referred to as polaritonic critical coupling, can be achieved in a hybrid dielectric metasurface-WS$_2$ monolayer structure. Polaritonic critical coupling, where the critical coupling and strong coupling are simultaneously attained, is determined by the relative damping rates of the cavity resonance, $\rm γ_Q$, provided by a symmetry-protected quasi-bound states in the continuum, and excitonic resonance of WS$_2$ monolayer, $\rm γ_X$. We reveal that the population of the polariton states can be tuned by the asymmetric parameter of the quasi-bound states in the continuum. Furthermore, polaritonic critical coupling is achieved in the designed system while $\rm γ_Q=γ_X$ and only strong coupling is achieved while $\rm γ_Q\neqγ_X$. This work enriches the study of polaritonic physics with controlled absorbance and may guide the design and application of efficient polariton-based light-emitting or lasing devices.
description: 7 pages, 4 figures
Poster: Synchformer: Efficient Synchronization from Sparse Cues
Creators: Vladimir Iashin
Weidi Xie
Esa Rahtu
Andrew Zisserman
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Our objective is audio-visual synchronization with a focus on ‘in-the-wild’ videos, such as those on YouTube, where synchronization cues can be sparse. Our contributions include a novel audio-visual synchronization model, and training that decouples feature extraction from synchronization modelling through multi-modal segment-level contrastive pre-training. This approach achieves state-of-the-art performance in both dense and sparse settings. We also extend synchronization model training to AudioSet a million-scale ‘in-the-wild’ dataset, investigate evidence attribution techniques for interpretability, and explore a new capability for synchronization models: audio-visual synchronizability. Code, models, and project page: https://www.robots.ox.ac.uk/~vgg/research/synchformer/
Detection prospects for multi-GeV neutrinos from collisionally heated GRBs
Creators: name: Zegarelli, A.
name: Celli, S.
name: Capone, A.
name: Gagliardini, S.
name: Campion, S.
name: Di Palma, I.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Neutrinos with energies ranging from GeV to sub-TeV are expected to be produced in Gamma-Ray Bursts (GRBs) as a result of the dissipation of the jet kinetic energy through nuclear collisions occurring around or below the photosphere, where the jet is still optically thick to high-energy radiation. So far, the neutrino emission from the inelastic collisional model in GRBs has been poorly investigated from the experimental point of view. In the present work, we discuss prospects for identifying neutrinos produced in such collisionally heated GRBs with the large volume neutrino telescopes KM3NeT and IceCube, including their low-energy extensions, KM3NeT/ORCA and DeepCore, respectively. To this aim, we evaluate the detection sensitivity for neutrinos from both individual and stacked GRBs, exploring bulk Lorentz factor values ranging from 100 to 600. As a result of our analysis, individual searches appear feasible only for extreme sources, characterized by gamma-ray fluence values at the level of F$_γ \geq 10^{-2}$ erg cm$^{-2}$. In turn, it is possible to detect a significant flux of neutrinos from a stacking sample of ~ 900 long GRBs (that could be detected by current gamma-ray satellites in about five years) already with DeepCore and KM3NeT/ORCA. The detection sensitivity increases with the inclusion of data from the high-energy telescopes, IceCube and KM3NeT/ARCA, respectively.
description: Approved for publication in Physical Review D
Eccentric Engineering: Experiments in Automation and Agency
Creators: name: Brain, Tega
Publisher: name: The Australian National University
Year: 2023

description: Cultivating new infrastructural and ecological imaginaries is a crucial part of addressing the climate crisis. How might we envisage ways to design and engineer our way out of the mess we are in? Where is there space to prototype new social and technological relations that depart from both the privatised techno-solutionism of Silicon Valley and the anti-technological stance of twentieth century environmentalism? This practice-led research focuses on how automated systems and AI are reshaping ecological thought, and articulates a model for practice called eccentric engineering which provides space for this much-needed thinking and experimentation. It unfolds through four artworks that each realise an automated system for environmental management, and it explores how environmental knowledge is produced and applied through systems, models, media and protocols. From this dialogue between practice and theory, I show how the question of how we know our environments informs how we think we can, or should, act within them. I also draw on non-anthropocentric theories of agency from Indigenous cosmologies, new materialism, and the work of artists engaged with AI and automated systems to argue that automation is the coordination and confederation of human and non-human agencies. As such, automation is not an exclusively human intervention but equally emerges in the absence of human intent. It is a fundamental characteristic of a liveable biosphere. From these discussions of computation, ecological thinking, and the ways artists and designers orchestrate new coalitions of agencies, this thesis concludes with a definition of the practice of eccentric engineering. Eccentric engineering combines methods from systems art, social practice, critical engineering and ontological design to critique the technological status quo. Importantly, it generates new possibilities, imaginaries and approaches for designing systems that act in concert with their environments and serve ecosystemic, rather than exclusively human, agendas.
Report or Manuscript for paper on first test of plasmonic OAM spectrum
Creators: name: zanfrognini, matteo
name: Rotunno, enzo
name: Frabboni, Stefano
name: Grillo, Vincenzo
Publisher: name: Zenodo
Year: 2020
Subjects: Q-sort

description: The present deliverable, “Report on orbital angular momentum resolved EELS of metallic
 nanostructures in TEM“ has the aim of defining an appropriate framework for the
 simulation of energy loss experiments on plasmonic nanosystems, resolved in orbital
 angular momentum (OAM), where the inelastically scattered electrons are dispersed
 both in energy and in OAM: as we demonstrate in the following Chapters, these
 combined dispersions give access to information about the plasmonic excitations
 characterizing the metallic nanostructure not available in conventional STEM-EELS
 experiments.
Bistability in coupled opto-thermal micro-oscillators
Creators: name: Bhaskar, Aditya
name: Walth, Mark
name: Rand, Richard H.
name: Zehnder, Alan T.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: In this work, we experimentally investigate the dynamics of pairs of opto-thermally driven, mechanically coupled, doubly clamped, silicon micromechanical oscillators, and numerically investigate the dynamics of the corresponding lumped-parameter model. Coupled limit cycle oscillators exhibit striking nonlinear dynamics and bifurcations in response to variations in system parameters. We show that the input laser power influences the frequency detuning between two non-identical oscillators. As the laser power is varied, different regimes of oscillations such as the synchronized state, the drift state, and the quasi-periodic state are mapped at minimal and high coupling strengths. For non-identical oscillators, coexistence of two states, the synchronized state and the quasi-periodic state, is demonstrated at high coupling and high laser power. Experimentally, this bistability manifests as irregular oscillations as the system rapidly switches between the two states due to the system's sensitive dependence on initial conditions in the presence of noise. We provide a qualitative comparison of the experimental and numerical results to elucidate the behavior of the system.
description: 9 pages, 8 figures, revised Figs. 2, 5, 6, and 7 and associated text
Updated genome assembly and annotation of Paenibacillus larvae, the agent of American foulbrood disease of honey bees
Creators: name: Chan, Queenie W.
name: Cornman, R. S.
name: Birol, Inanc
name: Liao, Nancy Y.
name: Chan, Simon K.
name: Docking, T. R.
name: Jackman, Shaun D.
name: Taylor, Gregory A.
name: Jones, Steven J. M.
name: De Graaf, Dirk C.
name: Evans, Jay D.
name: Foster, Leonard J.
Publisher: name: BioMed Central
Year: 2016

description: Background: As scientists continue to pursue various 'omics-based research, there is a need for high quality data for the most fundamental 'omics of all: genomics. The bacterium Paenibacillus larvae is the causative agent of the honey bee disease American foulbrood. If untreated, it can lead to the demise of an entire hive; the highly social nature of bees also leads to easy disease spread, between both individuals and colonies. Biologists have studied this organism since the early 1900s, and a century later, the molecular mechanism of infection remains elusive. Transcriptomics and proteomics, because of their ability to analyze multiple genes and proteins in a high-throughput manner, may be very helpful to its study. However, the power of these methodologies is severely limited without a complete genome; we undertake to address that deficiency here. Results: We used the Illumina GAIIx platform and conventional Sanger sequencing to generate a 182-fold sequence coverage of the P. larvae genome, and assembled the data using ABySS into a total of 388 contigs spanning 4.5 Mbp. Comparative genomics analysis against fully-sequenced soil bacteria P. JDR2 and P. vortex showed that regions of poor conservation may contain putative virulence factors. We used GLIMMER to predict 3568 gene models, and named them based on homology revealed by BLAST searches; proteases, hemolytic factors, toxins, and antibiotic resistance enzymes were identified in this way. Finally, mass spectrometry was used to provide experimental evidence that at least 35% of the genes are expressed at the protein level. Conclusions: This update on the genome of P. larvae and annotation represents an immense advancement from what we had previously known about this species. We provide here a reliable resource that can be used to elucidate the mechanism of infection, and by extension, more effective methods to control and cure this widespread honey bee disease.
Cardiac medication prescribing and adherence after acute myocardial infarction in Chinese and South Asian Canadian patients
Creators: name: Lai, Emily J
name: Grubisic, Maja
name: Palepu, Anita
name: Quan, Hude
name: King, Kathryn M
name: Khan, Nadia A
Publisher: name: BioMed Central
Year: 2015

description: Background: Failure to adhere to cardiac medications after acute myocardial infarction (AMI) is associated with increased mortality. Language barriers and preference for traditional medications may predispose certain ethnic groups at high risk for non-adherence. We compared prescribing and adherence to ACE-inhibitors (ACEI), beta-blockers (BB), and statins following AMI among elderly Chinese, South Asian, and Non-Asian patients. Methods Retrospective-cohort study of elderly AMI survivors (1995-2002) using administrative data from British Columbia. AMI cases and ethnicity were identified using validated ICD-9/10 coding and surname algorithms, respectively. Medication adherence was assessed using the 'proportion of days covered' (PDC) metric with a PDC ≥ 0.80 indicating optimal adherence. The independent effect of ethnicity on adherence was assessed using multivariable modeling, adjusting for socio-demographic and clinical characteristics. Results There were 9926 elderly AMI survivors (258 Chinese, 511 South Asian patients). More Chinese patients were prescribed BBs (79.7% vs. 73.1%, p = 0.04) and more South Asian patients were prescribed statins (73.5% vs. 65.2%, p = 0.001). Both Chinese (Odds Ratio [OR] 0.53; 95%CI, 0.39-0.73; p < 0.0001) and South Asian (OR 0.78; 95%CI, 0.61-0.99; p = 0.04) patients were less adherent to ACEI compared to Non-Asian patients. South Asian patients were more adherent to BBs (OR 1.3; 95%CI, 1.04-1.62; p = 0.02). There was no difference in prescribing of ACEI, nor adherence to statins among the ethnicities. Conclusion Despite a higher likelihood of being prescribed evidence-based therapies following AMI, Chinese and South Asian patients were less likely to adhere to ACEI compared to their Non-Asian counterparts.
Structural Diversity and Superconductivity in S-P-H Ternary Hydrides Under Pressure
Creators: name: Geng, Nisha
name: Bi, Tiange
name: Zurek, Eva
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Evolutionary structure searches revealed a plethora of stable and low-enthalpy metastable phases in the S-P-H ternary phase diagram under pressure. A wide variety of crystalline structure types were uncovered ranging from those possessing one-dimensional chains, two-dimensional sheets based on S-H or S-P-H square lattices as well as S-H or P-H honeycombs, and cage-like structures. Some of the cage-like structures could be derived from doping the high-pressure high-temperature superconducting $Im\bar{3}m$ H$_3$S phase with phosphorous. Most of the discovered compounds were metallic, however those derived from $Im\bar{3}m$ H$_3$S lattices with low levels of P-doping were predicted to possess the highest superconducting critical temperatures ($T_c$s). The propensity for phosphorous to assume octahedral coordination, as well as the similar radii of sulfur and phosphorous are key to maintaining a high density of states at the Fermi level in $Im\bar{3}m$ S$_{0.875}$P$_{0.125}$H$_3$, whose $T_c$ was estimated to be similar to that of H$_3$S at 200~GPa.
Carnet nº 17, commencé à Pingshi (p. 19)
Creators: name: Péraire, Lucien
name: CNRS
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2023

description: created: 22-12-1930
Reconstructing Rayleigh-Bénard flows out of temperature-only measurements using nudging
Creators: name: Agasthya, Lokahith
name: Di Leoni, Patricio Clark
name: Biferale, Luca
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Nudging is a data assimilation technique that has proved to be capable of reconstructing several highly turbulent flows from a set of partial spatiotemporal measurements. In this study we apply the nudging protocol on the temperature field in a Rayleigh-Bénard Convection system at varying levels of turbulence. We assess the global, as well as scale by scale, success in reconstructing the flow and the transition to full synchronization while varying both the quantity and quality of the information provided by the sparse measurements either on the Eulerian or Lagrangian domain. We asses the statistical reproduction of the dynamic behaviour of the system by studying the spectra of the nudged fields as well as the correct prediction of the heat transfer properties as measured by the Nusselt number. Further, we analyze the results in terms of the complexity of the solutions at various Rayleigh numbers and discuss the more general problem of predicting all state variables of a system given partial or full measurements of only one subset of the fields, in particular temperature. This study sheds new light on the correlation between velocity and temperature in thermally driven flows and on the possibility to control them by acting on the temperature only.
description: Postprint version of the article published by Physics of Fluids vol 34.1 p.015128 year 2022
Metallization and proximity superconductivity in topological insulator nanowires
Creators: name: Legg, Henry F.
name: Loss, Daniel
name: Klinovaja, Jelena
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: A heterostructure consisting of a topological insulator (TI) nanowire brought into proximity with a superconducting layer provides a promising route to achieve topological superconductivity and associated Majorana bound states (MBSs). Here, we study effects caused by such a coupling between a thin layer of an $s$-wave superconductor and a TI nanowire. We show that there is a distinct phenomenology arising from the metallization of states in the TI nanowire by the superconductor. In the strong coupling limit, required to induce a large superconducting pairing potential, we find that metallization results in a shift of the TI nanowire subbands ($\sim 20$ meV) as well as it leads to a small reduction in the size of the subband gap opened by a magnetic field applied parallel to the nanowire axis. Surprisingly, we find that metallization effects in TI nanowires can also be beneficial. Most notably, coupling to the superconductor induces a potential in the portion of the TI nanowire close to the interface with the superconductor, this breaks inversion symmetry and at finite momentum lifts the spin degeneracy of states within a subband. As such coupling to a superconductor can create or enhance the subband splitting that is key to achieving topological superconductivity. This is in stark contrast to semiconductors, where it has been shown that metallization effects always reduce the equivalent subband-splitting caused by spin-orbit coupling. We also find that in certain geometries metallization effects can reduce the critical magnetic required to enter the topological phase. We conclude that, unlike in semiconductors, the metallization effects that occur in TI nanowires can be relatively easily mitigated, for instance by modifying the geometry of the attached superconductor or by compensation of the TI material.
description: 10 pages, 7 figures
Dark matter effect on the weak deflection angle by black holes at the center of Milky Way and M87 galaxies
Creators: name: Pantig, Reggie C.
name: Övgün, Ali
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this paper, we investigated the effect of dark matter on the weak deflection angle by black holes at the galactic center. We consider three known dark matter density profiles such as the Cold Dark Matter (CDM), Scalar Field Dark Matter (SFDM), and the Universal Rotation Curve (URC) from the Burkert profile. To achieve this goal, we used how the positional angles are measured by Ishihara et al. method based on Gauss-Bonnet theorem (GBT) on the optical metric. With the help of the non-asymptotic form of the GBT, the longitudinal angle difference is also calculated. First, we find the emergence of apparent divergent terms on the said profiles, which indicates that the spacetime describing the black hole-dark matter combination is non-asymptotic. We showed that these apparent divergent terms vanish when the distance of the source and receiver are astronomically distant from the black hole. Using the current observational data in the Milky Way and M87 galaxies, we find interesting behaviors of how the weak deflection angle varies with the impact parameter, which gives us some hint on how dark matter interacts with the null particles for each dark matter density profile. We conclude that since these deviations are evident near the dark matter core radius, the weak deflection angle offers a better alternative for dark matter detection than using the deviation from the black hole shadow. With the DM profiles explored in this study, we find that SFDM is the most difficult to detect, while the easiest is the URC profile. With the dark matter profiles explored in this study, we find that the variation of the values for weak deflection angle strongly depends on the dark matter mass on a particular profile.
description: 11 pages, 9 figures. Corrected some typos, added Einstein ring discussion
Resolving massive black hole binaries evolution via adaptive particle-splitting
Creators: name: Franchini, Alessia
name: Lupi, Alessandro
name: Sesana, Alberto
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The study of the interaction of a massive black hole binary with its gaseous environment is crucial in order to be able to predict merger rates and possible electromagnetic counterparts of gravitational wave signals. The evolution of the binary semi-major axis resulting from this interaction has been recently debated, and a clear consensus is still missing, also because of several numerical limitations, i.e. fixed orbit binaries or lack of resolution inside the cavity carved by the binary in its circumbinary disc. Using on-the-fly particle-splitting in the 3D meshless code gizmo, we achieve hyper-Lagrangian resolution, which allows us to properly resolve the dynamics inside the cavity, and in particular for the first time the discs that form around the two components of a live binary surrounded by a locally isothermal gaseous circumbinary disc. We show that the binary orbit decays with time for very cold and very warm discs and that the result of the interaction in the intermediate regime is strongly in uenced by the disc viscosity as this essentially regulates the fraction of mass contained in the discs around the binary components as well as the fraction that is accreted by the binary. We find the balance between these two quantities to determine whether the binary semi-major axis decreases with time.
description: 8 pages, published in ApJL
Be known, be available, be mutual: a qualitative ethical analysis of social values in rural palliative care
Creators: name: Pesut, Barbara
name: Bottorff, J. L. (Joan L.), 1950-
name: Robinson, Carole A.
Publisher: name: BioMed Central
Year: 2015

description: Background: Although attention to healthcare ethics in rural areas has increased, specific focus on rural palliative care is still largely under-studied and under-theorized. The purpose of this study was to gain a deeper understanding of the values informing good palliative care from rural individuals' perspectives. Methods We conducted a qualitative ethnographic study in four rural communities in Western Canada. Each community had a population of 10, 000 or less and was located at least a three hour travelling distance by car from a specialist palliative care treatment centre. Data were collected over a 2-year period and included 95 interviews, 51 days of field work and 74 hours of direct participant observation where the researchers accompanied rural healthcare providers. Data were analyzed inductively to identify the most prevalent thematic values, and then coded using NVivo. Results This study illuminated the core values of knowing and being known, being present and available, and community and mutuality that provide the foundation for ethically good rural palliative care. These values were congruent across the study communities and across the stakeholders involved in rural palliative care. Although these were highly prized values, each came with a corresponding ethical tension. Being known often resulted in a loss of privacy. Being available and present created a high degree of expectation and potential caregiver strain. The values of community and mutuality created entitlement issues, presenting daunting challenges for coordinated change. Conclusions The values identified in this study offer the opportunity to better understand common ethical tensions that arise in rural healthcare and key differences between rural and urban palliative care. In particular, these values shed light on problematic health system and health policy changes. When initiatives violate deeply held values and hard won rural capacity to address the needs of their dying members is undermined, there are long lasting negative consequences. The social fabric of rural life is frayed. These findings offer one way to re-conceptualize healthcare decision making through consideration of critical values to support ethically good palliative care in rural settings.
title: 02_0168
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
A circuit-level protocol and analysis for twist-based lattice surgery
Creators: name: Chamberland, Christopher
name: Campbell, Earl T.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Lattice surgery is a measurement-based technique for performing fault-tolerant quantum computation in two dimensions. When using the surface code, the most general lattice surgery operations require lattice irregularities called twist defects. However, implementing twist-based lattice surgery may require additional resources, such as extra device connectivity, and could lower the threshold and overall performance for the surface code. Here we provide an explicit twist-based lattice surgery protocol and its requisite connectivity layout. We also provide new stabilizer measurement circuits for measuring twist defects which are compatible with our chosen gate scheduling. We undertake the first circuit-level error correction simulations during twist-based lattice surgery using a biased depolarizing noise model. Our results indicate a slight decrease in the threshold for timelike logical failures compared to lattice surgery protocols with no twist defects in the bulk. However, comfortably below threshold (i.e. with CNOT infidelities below $5 \times 10^{-3}$), the performance degradation is mild and in fact preferable over proposed alternative twist-free schemes. Lastly, we provide an efficient scheme for measuring $Y$ operators along boundaries of surface codes which bypasses certain steps that were required in previous schemes.
description: 12 pages, 9 figures. Comments welcome!
Nonlinear Dual-Phase Multiplexing in Digital Microfluidic Architectures
Creators: name: Collier, Christopher Michael
name: Wiltshire, Michael
name: Nichols, Jacqueline
name: Born, Brandon
name: Landry, Emily L.
name: Holzman, Jonathan F.
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2019

description: A 16 × 16 digital microfluidic multiplexer is demonstrated. The device makes use of dual-phase AC activation in a bi-layered electrode structure for actuating microdrops independently. A switching arrangement is employed to localize two out-of-phase AC waveforms in one overlapped region of the two-dimensional multiplexer grid. The superimposed AC waveforms overcome the threshold voltage for motion of a local microdrop. The demonstrated dual-phase activation and nonlinear threshold-based motion overcomes the previously-reported microdrop interference effect, as it successfully actuates individual microdrops in systems with multiple neighbouring microdrops. The device is demonstrated with an integrated centre-tap transformer using a 10.0 Vrms input voltage and minimal power consumption.
Defining Security Requirements with the Common Criteria: Applications, Adoptions, and Challenges
Creators: name: Sun, Nan
name: Li, Chang-Tsun
name: Chan, Hin
name: Le, Ba Dung
name: Islam, MD Zahidul
name: Zhang, Leo Yu
name: Islam, MD Rafiqul
name: Armstrong, Warren
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Advances of emerging Information and Communications Technology (ICT) technologies push the boundaries of what is possible and open up new markets for innovative ICT products and services. The adoption of ICT products and systems with security properties depends on consumers' confidence and markets' trust in the security functionalities and whether the assurance measures applied to these products meet the inherent security requirements. Such confidence and trust are primarily gained through the rigorous development of security requirements, validation criteria, evaluation, and certification. Common Criteria for Information Technology Security Evaluation (often referred to as Common Criteria or CC) is an international standard (ISO/IEC 15408) for cyber security certification. In this paper, we conduct a systematic review of the CC standards and its adoptions. Adoption barriers of the CC are also investigated based on the analysis of current trends in security evaluation. Specifically, we share the experiences and lessons gained through the recent Development of Australian Cyber Criteria Assessment (DACCA) project that promotes the CC among stakeholders in ICT security products related to specification, development, evaluation, certification and approval, procurement, and deployment. Best practices on developing Protection Profiles, recommendations, and future directions for trusted cybersecurity advancement are presented.
Interdisciplinary Training Webinar (release 7)
Creators: name: Santucci, Raffaella
name: Grillo, Vincenzo
Publisher: name: Zenodo
Year: 2020
Subjects: Q-sort

description: This deliverable describes the “Quantum aspects of the interaction between beam electrons and optical
 near fields” webinar. This is the seventh in the planned series of 9 Interdisciplinary Training Webinars for
 the Q-SORT project.
Effect of Human Involvement on Work Performance and Fluency in Human-Robot Collaboration for Recycling
Creators: name: Ramadurai, Sruthi
name: Jeong, Heejin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences
subject: I.4.0

description: Human-robot collaboration has significant potential in recycling due to the wide variation in the composition of recyclable products. Six participants performed a recyclable item sorting task collaborating with a robot arm equipped with a vision system. The effect of three different levels of human involvement or assistance to the robot (Level 1- occlusion removal; Level 2- optimal spacing; Level 3- optimal grip) on performance metrics such as robot accuracy, task time and subjective fluency were assessed. Results showed that human involvement had a remarkable impact on the robot's accuracy, which increased with human involvement level. Mean accuracy values were 33.3% for Level 1, 69% for Level 2 and 100% for Level 3. The results imply that for sorting processes involving diverse materials that vary in size, shape, and composition, human assistance could improve the robot's accuracy to a significant extent while also being cost-effective.
description: Accepted as a Late-Breaking Report in the 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2022. 4 pages with 5 figures
Signature of the gluon orbital angular momentum
Creators: name: Bhattacharya, Shohini
name: Boussarie, Renaud
name: Hatta, Yoshitaka
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We propose a novel observable for the experimental detection of the gluon orbital angular momentum (OAM) that constitutes the proton spin sum rule. We consider longitudinal double spin asymmetry in exclusive dijet production in electron-proton scattering and demonstrate that the $\cos ϕ$ azimuthal angle correlation between the scattered electron and proton is a sensitive probe of the gluon OAM at small-$x$ and its interplay with the gluon helicity. We also present a numerical estimate of the cross section for the kinematics of the Electron-Ion Collider.
description: Version accepted for publication in Physical Review Letters
LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels
Creators: name: Salehinejad, Hojjat
name: Valaee, Shahrokh
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Anatomical movements of the human body can change the channel state information (CSI) of wireless signals in an indoor environment. These changes in the CSI signals can be used for human activity recognition (HAR), which is a predominant and unique approach due to preserving privacy and flexibility of capturing motions in non-line-of-sight environments. Existing models for HAR generally have a high computational complexity, contain very large number of trainable parameters, and require extensive computational resources. This issue is particularly important for implementation of these solutions on devices with limited resources, such as edge devices. In this paper, we propose a lightweight human activity recognition (LiteHAR) approach which, unlike the state-of-the-art deep learning models, does not require extensive training of large number of parameters. This approach uses randomly initialized convolution kernels for feature extraction from CSI signals without training the kernels. The extracted features are then classified using Ridge regression classifier, which has a linear computational complexity and is very fast. LiteHAR is evaluated on a public benchmark dataset and the results show its high classification performance in comparison with the complex deep learning models with a much lower computational complexity.
description: Accepted for presentation at IEEE ICASSP 2022. Copyright 2022 IEEE
Fermi surface segmentation in the helical state of a Rashba superconductor
Creators: name: Akbari, Alireza
name: Thalmeier, Peter
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We investigate the quasiparticle excitations in the FFLO- type helical state of a superconductor with inversion-symmetry breaking and strong Rashba spin-orbit coupling. We restrict to a state with single finite momentum of Cooper pairs in the helical phase that is determined by minimization of the condensation energy. We derive the dependence of quasiparticle dispersions on the Rashba coupling strength and external field. It leads to a peculiar momentum-space segmentation of the corresponding Rashba Fermi surface sheets which has not yet been observed experimentally. We show that it may be directly visualized by the method of quasiparticle interference that identifies the critical points of the segmented sheets and can map their evolution with field strength, bias voltage and Rashba coupling. We also indicate a strategy how to determine the finite Cooper-pair momentum from experimental quantities. This investigation has the potential for a more detailed microscopic understanding of the helical superconducting state under the influence of Rashba spin-orbit coupling.
description: 12 pages, 7 figures
Supplementary materials from Schema-driven prediction effects on episodic memory across the lifespan
Creators: name: Ortiz-Tudela, Javier
name: Turan, GÃ¶zem
name: Vilas, Martina
name: Melloni, Lucia
name: Shing, YeeLee
Publisher: name: The Royal Society
Year: 2024
Subjects: classificationCode: 310901
subject: Animal behaviour

description: Supplementary materials
Kinetic modeling of neutral transport for a continuum gyrokinetic code
Creators: name: Bernard, T. N.
name: Halpern, F. D.
name: Francisquez, M.
name: Mandell, N. R.
name: Juno, J.
name: Hammett, G. W.
name: Hakim, A.
name: Wilkie, G.
name: Guterl, J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: We present the first-of-its-kind coupling of a continuum full-f gyrokinetic turbulence model with a 6D continuum model for kinetic neutrals, carried out using the Gkeyll code. Our objective is to improve the first-principles understanding of the role of neutrals in plasma fueling, detachment, and their interaction with edge plasma profiles and turbulence statistics. Our model includes only atomic hydrogen and incorporates electron-impact ionization, charge exchange, and wall recycling. These features have been successfully verified with analytical predictions and benchmarked with the DEGAS2 Monte Carlo neutral code. We carry out simulations for a scrape-off layer (SOL) with simplified geometry and NSTX parameters. We compare these results to a baseline simulation without neutrals and find that neutral interactions reduce the normalized density fluctuation levels and associated skewness and kurtosis, while increasing auto-correlation times. A flatter density profile is also observed, similar to the SOL density shoulder formation in experimental scenarios with high fueling.
Ad-datasets: a meta-collection of data sets for autonomous driving
Creators: name: Bogdoll, Daniel
name: Schreyer, Felix
name: Zöllner, J. Marius
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Autonomous driving is among the largest domains in which deep learning has been fundamental for progress within the last years. The rise of datasets went hand in hand with this development. All the more striking is the fact that researchers do not have a tool available that provides a quick, comprehensive and up-to-date overview of data sets and their features in the domain of autonomous driving. In this paper, we present ad-datasets, an online tool that provides such an overview for more than 150 data sets. The tool enables users to sort and filter the data sets according to currently 16 different categories. ad-datasets is an open-source project with community contributions. It is in constant development, ensuring that the content stays up-to-date.
description: Daniel Bogdoll and Felix Schreyer contributed equally. Accepted for publication at VEHITS 2022
Interdisciplinary Training Webinar (release 6)
Creators: name: Santucci, Raffaella
name: Grillo, Vincenzo
Publisher: name: Zenodo
Year: 2020
Subjects: Q-sort
webminar

description: This deliverable describes the “Making Open Science Work for you” webinar. This is the sixth in the
 planned series of 9 Interdisciplinary Training Webinars for the Q-SORT project.
 The Interdisciplinary Training Webinars are part of Work Package 3 Theory, optical testing, and TEM
 implementation of generalised Sorter [Months: 1-41], Task 3.5 - Interdisciplinary Training Webinars (M6,
 M11, M12, M18, M24, M26, M30, M36, M41). This document is comprised of four Chapters, including Introduction and Conclusions.
 The Introduction describes what a webinar is.
 Chapter 2 summarises what we mean by Interdisciplinary Training Webinars and what their function is
 within Q-SORT.
 Chapter 3 illustrates context, aims, and content of the fourth Interdisciplinary Training Webinar of Q-SORT.
 The conclusions outline future plans for the Interdisciplinary Training Webinars.
A crawling robot driven by a folded self-sustained oscillator
Creators: name: Yan, Wenzhong
name: Mehta, Ankur
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Applied Physics (physics.app-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Locomotive robots that do not rely on electronics and/or electromagnetic components will open up new perspectives and applications for robotics. However, these robots usually involve complicated and tedious fabrication processes, limiting their applications. Here, we develop an easy-to-fabricate crawling robot by embedding simple control and actuation into origami-inspired mechanisms through folding, eliminating the need for discrete electronics and transducers. Our crawling robot locomotes through directional friction propelled by an onboard origami self-sustained oscillator, which generates periodic actuation from a single source of constant power. The crawling robot is lightweight (~ 3.8 gram), ultra low-cost (~ US $1), nonmagnetic, and electronic-free; it may enable practical applications in extreme environments, e.g., large radiation or magnetic fields. The robot can be fabricated through a monolithic origami-inspired folding-based method with universal materials, i.e., sheet materials and conductive threads. This rapid design and fabrication approach enables the programmable assembly of various mechanisms within this manufacturing paradigm, laying the foundation for autonomous, untethered robots without requiring electronics.
description: 6 pages, 8 figures, has been accepted by RoboSoft 2022
FAQ's about Diabetes following the latest data and COVID-19
Creators: name: Team Diabetes101
Publisher: name: Zenodo
Year: 2020
Subjects: Diabetes
COVID-19
FAQ

description: 101Diabetes team FAQ’s about Diabetes and COVID-19 following the latest data published (19/5/5020). Papers published (pre-print) on NHS England website https://www.england.nhs.uk/publication/type-1-and-type-2-diabetes-and-covid-19-related-mortality-in-england/
Near-optimal Top-k Pattern Mining
Creators: name: Wang, Xin
name: Lan, Zhuo
name: He, Yu-Ang
name: Wang, Yang
name: Liu, Zhi-Gui
name: Xie, Wen-Bo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences

description: Nowadays, frequent pattern mining (FPM) on large graphs receives increasing attention, since it is crucial to a variety of applications, e.g., social analysis. Informally, the FPM problem is defined as finding all the patterns in a large graph with frequency above a user-defined threshold. However, this problem is nontrivial due to the unaffordable computational and space costs in the mining process. In light of this, we propose a cost-effective approach to mining near-optimal top-k patterns. Our approach applies a "level-wise" strategy to incrementally detect frequent patterns, hence is able to terminate as soon as top-k patterns are discovered. Moreover, we develop a technique to compute the lower bound of support with smart traverse strategy and compact data structures. Extensive experimental studies on real-life and synthetic graphs show that our approach performs well, i.e., it outperforms traditional counterparts in efficiency, memory footprint, recall and scalability.