cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Beam Measurements of Full Stokes Parameters for the FAST L-band 19-beam Receiver
Creators: name: Chen, Xunzhou
name: Ching, Tao-Chung
name: Li, Di
name: Heiles, Carl
name: Robishaw, Timothy
name: Du, Xuan
name: Krco, Marko
name: Jiang, Peng
name: Yang, Qingliang
name: Lu, Jiguang
Publisher: name: arXiv
Year: 2024
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The Five-hundred-meter Aperture Spherical radio Telescope (FAST) has been fully operational since 11 January 2020. We present a comprehensive analysis of the beam structure for each of the 19 feed horns on FAST's L-band receiver across the Stokes I, Q, U, and V parameters. Using an on-the-fly mapping pattern, we conducted simultaneous sky mapping using all 19 beams directed towards polarization calibrators J1407+2827 and J0854+2006 from 2020 to 2022. Electromagnetic simulations were also performed to model the telescope's beam patterns in all Stokes parameters. Our findings reveal a symmetrical Gaussian pattern in the Stokes I parameter of the central beam without strong sidelobes, while the off-center beams exhibit significant asymmetrical shapes that can be fitted using a combination of log-normal and Gaussian distributions. The inner beams have higher relative beam efficiencies and smaller beam sizes compared to those of the outer beams. The sidelobes of the inner beams contribute approximately 2% of the total flux in the main lobe, increasing to 5% for outer beams, with a peak at 6.8%. In Stokes U, a distinct four-lobed cloverleaf beam squash structure is observed, with similar intensity levels in both inner and outer beams. In Stokes V, a two-lobed beam squint structure is observed in the central beam, along with a secondary eight-lobed structure. The highest squint peak in Stokes V is about 0.3% of the Stokes I in the outer beams. These results align closely with the simulations, providing valuable insights for the design of radio multi-beam observations.
description: 25 pages, 20 figures. Accepted for publication in AJ
Softly broken supersymmetric Yang-Mills theories: Renormalization and non-renormalization theorems
Creators: name: Kraus, Elisabeth
name: Stöckinger, Dominik
Publisher: name: arXiv
Year: 2002
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present a minimal version for the renormalization of softly broken Super-Yang-Mills theories using the extended model with a local gauge coupling. It is shown that the non-renormalization theorems of the case with unbroken supersymmetry are valid without modifications and that the renormalization of soft-breaking parameters is completely governed by the renormalization of the supersymmetric parameters. The symmetry identities in the present context are peculiar, since the extended model contains two anomalies: the Adler-Bardeen anomaly of the axial current and an anomaly of supersymmetry in the presence of the local gauge coupling. From the anomalous symmetries we derive the exact all-order expressions for the beta functions of the gauge coupling and of the soft-breaking parameters. They generalize earlier results to arbitrary normalization conditions and imply the NSVZ expressions for a specific normalization condition on the coupling.
description: 24 pages, LaTeX, v2: one reference added
A Bayesian approach for fitting and comparing demographic growth models of radiocarbon dates: A case study on the Jomon-Yayoi transition in Kyushu (Japan)
Creators: name: Crema, Enrico R.
name: Shoda, Shinya
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: subject: Research Article
subject: Social sciences
subject: FOS: Social sciences
subject: Research and analysis methods
subject: Physical sciences
subject: FOS: Physical sciences
subject: Biology and life sciences

description: Large sets of radiocarbon dates are increasingly used as proxies for inferring past population dynamics and the last few years, in particular, saw an increase in the development of new statistical techniques to overcome some of the key challenges imposed by this kind of data. These include: 1) null hypothesis significance testing approaches based on Monte-Carlo simulations or mark permutations; 2) non-parametric Bayesian modelling approaches, and 3) the use of more traditional techniques such as correlation, regression, and AIC-based model comparison directly on the summed probability distribution of radiocarbon dates (SPD). While the range of opportunities offered by these solutions is unquestionably appealing, they often do not consider the uncertainty and the biases arising from calibration effects or sampling error. Here we introduce a novel Bayesian approach and nimbleCarbon, an R package that offers model fitting and comparison for population growth models based on the temporal frequency data of radiocarbon dates. We evaluate the robustness of the proposed approach on a range of simulated scenarios and illustrate its application on a case study focused on the demographic impact of the introduction of wet-rice farming in prehistoric Japan during the 1st millennium BCE.
Simulating the optical alignment of the multiconjugate adaptive optics module for the extremely large telescope
Creators: name: Patti, Mauro
name: Lombini, Matteo
name: Redaelli, Edoardo Maria Alberto
name: Diolaiti, Emiliano
Publisher: name: arXiv
Year: 2019
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Adaptive optics (AO) instruments for the future extremely large telescopes (ELTs) are characterized by advanced optical systems with diffraction-limited optical quality. Low geometric distortion is also crucial for high accuracy astrometric applications. Optical alignment of such systems is a crucial step of the instrument integration. Due to relative inaccessibility of these giant instruments, automatic alignment methods are also favored to improve the instrument availability after major events, such as extraordinary maintenance. The proposed alignment concept for these systems is described: the notable example which is analyzed here is the case of the multiconjugate AO relay for the future ELT. The results of ray-tracing simulations carried out to validate the method are discussed in detail, covering the error sources, which could degrade the alignment performance.
Additional file 1 of Development of double-positive thymocytes at single-cell resolution
Creators: name: Li, Young
name: Li, Kun
name: Zhu, Lianbang
name: Li, Bin
name: Zong, Dandan
name: Cai, Pengfei
name: Jiang, Chen
name: Du, Pengcheng
name: Lin, Jun
name: Qu, Kun
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1: Figure S1. Data processing workflow and quality control of thymocytes. Figure S2. Integrated analysis with data from Tabula Muris. Figure S3. Robustness of thymocyte clustering. Figure S4. Single-cell ATAC-seq on mouse thymocytes. Figure S5. The transcription regulation network of each stage during thymocyte development. Figure S6. Ly6d and CD2 serve as new markers to gate DP subtypes in integrated data. Figure S7. Single-cell transcriptome clustering and pseudo-time trajectory of thymocytes without cell cycle-related genes. Figure S8. Single-cell transcriptome map of thymocytes from Tabula Muris dataset. Figure S9. Single-cell transcriptome map of thymocytes from Human data. FigureS10. Single-cell transcriptome map of Early T Cell Development. Figure S11. Single-cell transcriptome map of neuronal development. Figure S12. GO terms enriched in subgroups of DPbla stage. Figure S13. The difference in subgroups of DP stage. Figure S14. MHC-I antigen presentation occurred between thymocytes in integrated data. Figure S15. The expression of MHC-I associated genes in thymocytes. Figure S16. The expression of thymoproteasome subunits associated genes in thymocytes. Figure S17. Transcriptional regulation differences between human and mouse thymocyte development.
Expected Shortfall: a natural coherent alternative to Value at Risk
Creators: name: Acerbi, Carlo
name: Tasche, Dirk
Publisher: name: arXiv
Year: 2001
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Risk Management (q-fin.RM)
subject: FOS: Physical sciences
subject: FOS: Economics and business

description: We discuss the coherence properties of Expected Shortfall (ES) as a financial risk measure. This statistic arises in a natural way from the estimation of the "average of the 100p % worst losses" in a sample of returns to a portfolio. Here p is some fixed confidence level. We also compare several alternative representations of ES which turn out to be more appropriate for certain purposes.
description: to be published on "Wilmott Magazine" (http://www.wilmott.com)
Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning
Creators: name: Yousefpour, Negin
name: Medina-Cetina, Zenon
name: Hernandez-Martinez, Francisco G.
name: Al-Tabbaa, Abir
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: stabilized organic soils
artificial neural networks
machine learning
regression
strength
stiffness
predictive modeling
parametric analysis
deep (wet) soil mixing

description: Predicting the range of achievable strength and stiffness from stabilized soil mixtures is critical for engineering design and construction, especially for organic soils, which are often considered “unsuitable” due to their high compressibility and the lack of knowledge about their mechanical behavior after stabilization. This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. ML algorithms were developed and trained using a database from a comprehensive experimental study (see Part I), including more than one thousand unconfined compression tests on organic clay samples stabilized by wet soil mixing (WSM) technique. Three different ML methods were adopted and compared, including two artificial neural networks (ANN) and a linear regression method. ANN models proved reliable in the prediction of the stiffness and strength of stabilized organic soils, significantly outperforming linear regression models. Binder type, mixing ratio, soil organic and water content, sample size, aging, temperature, relative humidity, and carbonation were the control variables (input parameters) incorporated into the ML models. The impacts of these factors were evaluated through rigorous ANN-based parametric analyses. Additionally, the nonlinear relations of stiffness and strength with these parameters were developed, and their optimum ranges were identified through the ANN models. Overall, the robust ML approach presented in this paper can significantly improve the mixture design for organic soil stabilization and minimize the experimental cost for implementing WSM in engineering projects.
Additional file 2: of Load monitoring on Pilates training: a study protocol for a randomized clinical trial
Creators: name: AllysiĂŞ Souza Cavina
name: Junior, Eduardo Pizzo
name: Aryane Machado
name: TaĂ­Se Biral
name: Pastre, Carlos
name: Franciele Vanderlei
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Pilates exercise sequences. (DOCX 17 kb)
Separate Universe Void Bias
Creators: name: Jamieson, Drew
name: Loverde, Marilena
Publisher: name: arXiv
Year: 2019
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Voids have emerged as a novel probe of cosmology and large-scale structure. These regions of extreme underdensity are sensitive to physics beyond the standard model of cosmology, and can potentially be used as a testing ground to constrain new physics. We present the first determination of the linear void bias measured in separate universe simulations. Our methods are validated by comparing the separate universe response bias with the clustering bias of voids. We find excellent agreement between the two methods for voids identified in the halo field and the down-sampled dark matter field. For voids traced by halos, we identify two different contributions to the bias. The first is due to the bias of the underlying halo field used to identify voids, while the second we attribute to the dynamical impact of long-wavelength density perturbations on void formation and expansion. By measuring these contributions individually, we demonstrate that their sum is consistent with the total void bias. We also measure the void profiles in our simulations, and determine their separate universe response. These can be interpreted as the sensitivity of the profiles to the background density of the Universe.
description: 14 pages, 8 figures
Attitudes Toward COVID-19 Vaccination Among Young Adults in Zurich, Switzerland, September 2020
Creators: name: Leos-Toro, Cesar
name: Ribeaud, Denis
name: Bechtiger, Laura
name: Steinhoff, Annekatrin
name: Nivette, Amy
name: Murray, Aja L.
name: Hepp, Urs
name: Quednow, Boris B.
name: Eisner, Manuel P.
name: Shanahan, Lilly
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Society Journal Archive
vaccine willingness
COVID-19
pandemic health communication
evidence-based health messaging
vaccine acceptance
vaccine hesitancy

description: Objectives: Young adults are essential to the effective mitigation of the novel coronavirus (SARS-CoV-2/COVID-19) given their tendency toward greater frequency of social interactions. Little is known about vaccine willingness during pandemics in European populations. This study examined young people’s attitudes toward COVID-19 vaccines in Fall 2020. Methods: Data came from an ongoing longitudinal study’s online COVID-19-focused supplement among young adults aged 22 in Zurich, Switzerland (N = 499) in September 2020. Logistic regressions examined young adults’ likelihood of participating in COVID-19 immunization programs. Results: Approximately half of respondents reported being unlikely to get vaccinated against COVID-19. Compared to males, females were more likely to oppose COVID-19 vaccination (p < 0.05). In multivariate models, Sri Lankan maternal background and higher socioeconomic status were associated with a greater likelihood of getting vaccinated against COVID-19 (p < 0.05). Respondents were more likely to report a willingness to get vaccinated against COVID-19 when they perceived 1) an effective government response (p < 0.05) and 2) their information sources to be objective (p < 0.05). Conclusion: This study communicates aspects important to the development of targeted information campaigns to promote engagement in COVID-19 immunization efforts.
Additional file 3: of Load monitoring on Pilates training: a study protocol for a randomized clinical trial
Creators: name: AllysiĂŞ Souza Cavina
name: Junior, Eduardo Pizzo
name: Aryane Machado
name: TaĂ­Se Biral
name: Pastre, Carlos
name: Franciele Vanderlei
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: SPIRIT 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents. (DOC 125 kb)
title: Muscle prestimulation tunes velocity preflex in simulated perturbed hopping
Creators: name: Izzi, Fabio
name: Mo, An
name: Schmitt, Syn
name: Badri-Spröwitz, Alexander
name: Häufle, Daniel F. B.
Publisher: name: Universität Stuttgart
Year: 2023
Subjects: subject: 570
subject: 610

description: Muscle fibres possess unique visco-elastic properties, which generate a stabilising zero-delay response to unexpected perturbations. This instantaneous response - termed “preflex” - mitigates neuro-transmission delays, which are hazardous during fast locomotion due to the short stance duration. While the elastic contribution to preflexes has been studied extensively, the function of fibre viscosity due to the force-velocity relation remains unknown. In this study, we present a novel approach to isolate and quantify the preflex force produced by the force-velocity relation in musculo-skeletal computer simulations. We used our approach to analyse the muscle response to ground-level perturbations in simulated vertical hopping. Our analysis focused on the preflex-phase - the first 30 ms after impact - where neuronal delays render a controlled response impossible. We found that muscle force at impact and dissipated energy increase with perturbation height, helping reject the perturbations. However, the muscle fibres reject only 15% of step-down perturbation energy with constant stimulation. An open-loop rising stimulation, observed in locomotion experiments, amplified the regulatory effects of the muscle fibre’s force–velocity relation, resulting in 68% perturbation energy rejection. We conclude that open-loop neuronal tuning of muscle activity around impact allows for adequate feed-forward tuning of muscle fibre viscous capacity, facilitating energy adjustment to unexpected ground-level perturbations.
Gaussian multi-target filtering with target dynamics driven by a stochastic differential equation
Creators: name: García-Fernández, Ángel F.
name: Särkkä, Simo
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Signal Processing (eess.SP)
subject: Probability (math.PR)
subject: Computation (stat.CO)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics

description: This paper proposes multi-target filtering algorithms in which target dynamics are given in continuous time and measurements are obtained at discrete time instants. In particular, targets appear according to a Poisson point process (PPP) in time with a given Gaussian spatial distribution, targets move according to a general time-invariant linear stochastic differential equation, and the life span of each target is modelled with an exponential distribution. For this multi-target dynamic model, we derive the distribution of the set of new born targets and calculate closed-form expressions for the best fitting mean and covariance of each target at its time of birth by minimising the Kullback-Leibler divergence via moment matching. This yields a novel Gaussian continuous-discrete Poisson multi-Bernoulli mixture (PMBM) filter, and its approximations based on Poisson multi-Bernoulli and probability hypothesis density filtering. These continuous-discrete multi-target filters are also extended to target dynamics driven by nonlinear stochastic differential equations.
description: Matlab code available at https://github.com/Agarciafernandez
Positively charged magneto-excitons in a semiconductor quantum well
Creators: name: Riva, C.
name: Peeters, F. M.
name: Varga, K.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: A variational calculation of the lower singlet and triplet states of positively charged excitons (trions) confined to a single quantum well and in the presence of a perpendicular magnetic field is presented. We study the dependence of the energy levels and of the binding energy on the well width and on the magnetic field strength. Our results are compared with the available experimental data and show a good qualitative and quantitative agreement. A singlet-triplet crossing is found which for a 200 Åwide GaAs is predicted to occur for B = 15 T.
description: 5 figs. Submitted to PRB
Using a chimeric respiratory chain and EPR spectroscopy to determine the origin of semiquinone species previously assigned to mitochondrial complex I
Creators: name: Wright, John J.
name: Fedor, Justin G.
name: Hirst, Judy
name: Roessler, Maxie M.
Publisher: name: Apollo - University of Cambridge Repository
Year: 2020
Subjects: Research Article
NADH:ubiquinone oxidoreductase
Respiratory complex I
Semiquinones
Electron paramagnetic resonance

description: Abstract: Background: For decades, semiquinone intermediates have been suggested to play an essential role in catalysis by one of the most enigmatic proton-pumping enzymes, respiratory complex I, and different mechanisms have been proposed on their basis. However, the difficulty in investigating complex I semiquinones, due to the many different enzymes embedded in the inner mitochondrial membrane, has resulted in an ambiguous picture and no consensus. Results: In this paper, we re-examine the highly debated origin of semiquinone species in mitochondrial membranes using a novel approach. Our combination of a semi-artificial chimeric respiratory chain with pulse EPR spectroscopy (HYSCORE) has enabled us to conclude, unambiguously and for the first time, that the majority of the semiquinones observed in mitochondrial membranes originate from complex III. We also identify a minor contribution from complex II. Conclusions: We are unable to attribute any semiquinone signals unambiguously to complex I and, reconciling our observations with much of the previous literature, conclude that they are likely to have been misattributed to it. We note that, for this earlier work, the tools we have relied on here to deconvolute overlapping EPR signals were not available. Proposals for the mechanism of complex I based on the EPR signals of semiquinone species observed in mitochondrial membranes should thus be treated with caution until future work has succeeded in isolating any complex I semiquinone EPR spectroscopic signatures present.
Finite temperature theory of the scissors mode in a Bose gas using the moment method
Creators: name: Nikuni, T.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We use a generalized Gross-Pitaevskii equation for the condensate and a semi-classical kinetic equation for the noncondensate atoms to discuss the scissors mode in a trapped Bose-condensed gas at finite temperatures. Both equations include the effect of $C_{12}$ collisions between the condensate and noncondensate atoms. We solve the coupled moment equations describing oscillations of the quadrupole moments of the condensate and noncondensate components to find the collective mode frequencies and collisional damping rates as a function of temperature. Our calculations extend those of Guéry-Odelin and Stringari at T=0 and in the normal phase. They complement the numerical results of Jackson and Zaremba, although Landau damping is left out of our approach. Our results are also used to calculate the quadrupole response function, which is related to the moment of inertia. It is shown explicitly that the moment of inertia of a trapped Bose gas at finite temperatures involves a sum of an irrotational component from the condensate and a rotational component from the thermal cloud atoms.
description: 18 pages, 8 figures
title: Шатиловские чтения. Цифровизация иноязычного образования
title: сборник научных трудов
titleType: Subtitle
Creators: name: Орловский, Е.
Publisher: name: ПОЛИТЕХ-ПРЕСС
Year: 2020

description: Сборник включает в себя научно-методические материалы, посвященные результатам работы преподавателей высших учебных заведений, учителей школ и молодых исследователей в условиях цифровизации языкового образования. Научные труды отражают современные пути развития методики обучения иностранным языкам, русскому как иностранному и опыт формирования иноязычной коммуникативной компетентности в условиях применения цифровых технологий в иноязычном образовании. Сборник адресован преподавателям иностранных языков, русского как иностранного, учителям гимназий, лицеев, школ, студентам всех уровней высшего образования (бакалавриат, магистратура, аспирантура).
Belostoma fittkaui De Carlo 1966
Creators: name: Moreira, Felipe Ferraz Figueiredo
name: Barbosa, Julianna Freires
name: Ribeiro, José Ricardo Inacio
name: Alecrim, Viviani Pereira
Publisher: name: Zenodo
Year: 2011
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hemiptera
Belostomatidae
Belostoma
Belostoma fittkaui

description: Belostoma fittkaui De Carlo, 1966
Geographical distribution: Brazil.
Distribution in Brazil: North Region (AM) (Lanzer-de-Souza 1980).
description: Published as part of Moreira, Felipe Ferraz Figueiredo, Barbosa, Julianna Freires, Ribeiro, José Ricardo Inacio & Alecrim, Viviani Pereira, 2011, Checklist and distribution of semiaquatic and aquatic Heteroptera (Gerromorpha and Nepomorpha) occurring in Brazil 2958, pp. 1-74 in Zootaxa 2958 (1) on page 29, DOI: 10.11646/zootaxa.2958.1.1, http://zenodo.org/record/5281851
Exploring cosmological imprints of phantom crossing with dynamical dark energy in Horndeski gravity
Creators: name: Tiwari, Yashi
name: Upadhyay, Ujjwal
name: Jain, Rajeev Kumar
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In the current era of precision cosmology, the persistence of cosmological tensions, most notably the Hubble tension and the $S_8$ tension, challenges the standard $Λ$CDM model. To reconcile these tensions via late-time modifications to expansion history, various features such as phantom crossing in the dark energy equation of state, a negative energy density at high redshifts, etc., are favoured. However, these scenarios cannot be realized within the framework of GR without introducing ghost or gradient instabilities. In this work, we investigate a dynamical dark energy scenario within the framework of Horndeski gravity, incorporating nonminimal coupling to gravity and self-interactions. We highlight that the model can exhibit novel features like phantom crossing and negative dark energy densities at high redshifts without introducing any instabilities. For this specific Horndeski model, we perform a comprehensive analysis of the background evolution along with the effects on perturbations, examining observables like growth rate, matter and CMB power spectrum. To check the consistency of the model with the observational data, we employ MCMC analysis using BAO/$fσ_8$, Supernovae, and CMB data. While the model does not outperform the standard $Λ$CDM framework in a combined likelihood analysis, there remains a preference for non-zero values of the model parameters within the data. This suggests that dynamical dark energy scenarios, particularly those with non-minimal couplings, merit further exploration as promising alternatives to GR, offering rich phenomenology that can be tested against a broader range of current and upcoming observational datasets.
description: 16 pages, 8 figures, 1 table
Hyperuniform vortex patterns at the surface of type-II superconductors
Creators: name: Rumi, Gonzalo
name: Sanchez, Jazmin Aragon
name: Elias, Federico
name: Maldonado, Raul Cortes
name: Puig, Joaquin
name: Bolecek, Nestor Rene Cejas
name: Nieva, Gladys
name: Konczykowski, Marcin
name: Fasano, Yanina
name: Kolton, Alejandro B.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: A many-particle system must posses long-range interactions in order to be hyperuniform at thermal equilibrium. Hydrodynamic arguments and numerical simulations show, nevertheless, that a three-dimensional elastic-line array with short-ranged repulsive interactions, such as vortex matter in a type-II superconductor, forms at equilibrium a class-II hyperuniform two-dimensional point pattern for any constant-$z$ cross section. In this case, density fluctuations vanish isotropically as $\sim q^α$ at small wave-vectors $q$, with $α=1$. This prediction includes the solid and liquid vortex phases in the ideal clean case, and the liquid in presence of weak uncorrelated disorder. We also show that the three-dimensional Bragg glass phase is marginally hyperuniform, while the Bose glass and the liquid phase with correlated disorder are expected to be non-hyperuniform at equilibrium. Furthermore, we compare these predictions with experimental results on the large-wavelength vortex density fluctuations of magnetically decorated vortex structures nucleated in pristine, electron-irradiated and heavy-ion irradiated superconducting BiSCCO samples in the mixed state. For most cases we find hyperuniform two-dimensional point patterns at the superconductor surface with an effective exponent $α_{\text{eff}} \approx 1$. We interpret these results in terms of a large-scale memory of the high-temperature line-liquid phase retained in the glassy dynamics when field-cooling the vortex structures into the solid phase. We also discuss the crossovers expected from the dispersivity of the elastic constants at intermediate length-scales, and the lack of hyperuniformity in the $x\,-y$ plane for lengths $q^{-1}$ larger than the sample thickness due to finite-size effects in the $z$-direction.
description: 17 pages, 8 figures
Structural modifications on nickel dithiolene complexes lead to increased metal participation in the electrocatalytic hydrogen evolution mechanism
Creators: name: Drosou, Maria
name: Zarkadoulas, Athanasios
name: Bethanis, Kostas
name: Mitsopoulou, Christiana A.
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Pharmacology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 20199 Astronomical and Space Sciences not elsewhere classified
subject: 69999 Biological Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: In this work we present the electrocatalytic activity of alkylated nickel bis-dithiolene complexes toward hydrogen evolution from protons (TFA) in organic media (DMF). The hydrogen evolving mechanism is discussed and the complexes are compared to their non-alkylated analogs using DFT calculations. The findings support increased metal participation in the hydrogen evolving mechanism due to the structural and electronic modifications imposed by the alkyl-bridge on the sulfur atoms. Typically for this class of compounds, the coordinated sulfur atoms act as internal proton relays that facilitate transfer of protons to the metal ion during the catalytic cycle, highlighting the importance of modifying the coordination sphere of metal ions in the design of homogeneous hydrogen evolving catalysts.
Magnetars and pulsars: a missing link
Creators: name: Zhang, Bing
Publisher: name: arXiv
Year: 2002
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: There is growing evidence that soft gamma-ray repeaters (SGRs) and anomalous X-ray pulsars (AXPs) are isolated neutron stars with superstrong magnetic fields, i.e., magnetars, marking them a distinguished species from the conventional species of spindown-powered isolated neutron stars, i.e., radio pulsars. The current arguments in favor of the magnetar interpretation of SGR/AXP phenomenology will be outlined, and the two energy sources in magnetars, i.e. a magnetic dissipation energy and a spindown energy, will be reviewed. I will then discuss a missing link between magnetars and pulsars, i.e., lack of the observational evidence of the spindown-powered behaviors in known magnetars. Some recent theoretical efforts in studying such behaviors will be reviewed along with some predictions testable in the near future.
description: Invited talk at the Sixth Pacific Rim Conference on Stellar Astrophysics, a tribute to Helmut A. Abt, July 11-17, 2002, Xi'an. To appear in the proceedings (eds. K. S. Cheng, K. C. Leung & T. P. Li)
A Survey of Asynchronous Programming Using Coroutines in the Internet of Things and Embedded Systems
Creators: name: Belson, Bruce
name: Holdsworth, Jason
name: Xiang, Wei
name: Philippa, Bronson
Publisher: name: arXiv
Year: 2019
Subjects: subject: Software Engineering (cs.SE)
subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences

description: Many Internet of Things and embedded projects are event-driven, and therefore require asynchronous and concurrent programming. Current proposals for C++20 suggest that coroutines will have native language support. It is timely to survey the current use of coroutines in embedded systems development. This paper investigates existing research which uses or describes coroutines on resource-constrained platforms. The existing research is analysed with regard to: software platform, hardware platform and capacity; use cases and intended benefits; and the application programming interface design used for coroutines. A systematic mapping study was performed, to select studies published between 2007 and 2018 which contained original research into the application of coroutines on resource-constrained platforms. An initial set of 566 candidate papers were reduced to only 35 after filters were applied, revealing the following taxonomy. The C & C++ programming languages were used by 22 studies out of 35. As regards hardware, 16 studies used 8- or 16-bit processors while 13 used 32-bit processors. The four most common use cases were concurrency (17 papers), network communication (15), sensor readings (9) and data flow (7). The leading intended benefits were code style and simplicity (12 papers), scheduling (9) and efficiency (8). A wide variety of techniques have been used to implement coroutines, including native macros, additional tool chain steps, new language features and non-portable assembly language. We conclude that there is widespread demand for coroutines on resource-constrained devices. Our findings suggest that there is significant demand for a formalised, stable, well-supported implementation of coroutines in C++, designed with consideration of the special needs of resource-constrained devices, and further that such an implementation would bring benefits specific to such devices.
description: 22 pages, 8 figures, to be published in ACM Transactions on Embedded Computing Systems (TECS)
Bending models of lipid bilayer membranes: spontaneous curvature and area-difference elasticity
Creators: name: Bian, Xin
name: Litvinov, Sergey
name: Koumoutsakos, Petros
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Differential Geometry (math.DG)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 74S30, 53Z05

description: We preset a computational study of bending models for the curvature elasticity of lipid bilayer membranes that are relevant for simulations of vesicles and red blood cells. We compute bending energy and forces on triangulated meshes and evaluate and extend four well established schemes for their approximation: Kantor and Nelson 1987, Phys. Rev. A 36, 4020, Jülicher 1996, J. Phys. II France 6, 1797, Gompper and Kroll 1996, J. Phys. I France 6, 1305, and Meyer et. al. 2003 in Visualization and Mathematics III, Springer, p35, termed A, B, C, D. We present a comparative study of these four schemes on the minimal bending model and propose extensions for schemes B, C and D. These extensions incorporate the reference state and non-local energy to account for the spontaneous curvature, bilayer coupling, and area-difference elasticity models. Our results indicate that the proposed extensions enhance the models to account for shape transformation including budding/vesiculation as well as for non-axisymmetric shapes. We find that the extended scheme B is superior to the rest in terms of accuracy, and robustness as well as simplicity of implementation. We demonstrate the capabilities of this scheme on several benchmark problems including the budding-vesiculating process and the reproduction of the phase diagram of vesicles.
Simple Applications of q-Bosons
Creators: name: Angelova, Maia
name: Dobrev, V. K.
name: Frank, A.
Publisher: name: arXiv
Year: 2001
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Algebra (math.QA)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: A deformation of the harmonic oscillator algebra associated with the Morse potential and the SU(2) algebra is derived using the quantum analogue of the anharmonic oscillator. We use the quantum oscillator algebra or $q$-boson algebra which is a generalisation of the Heisenberg-Weyl algebra obtained by introducing a deformation parameter $q$. Further, we present a new algebraic realization of the $q$-bosons, for the case of $q$ being a root of unity, which corresponds to a periodic structure described by a finite-dimensional representation. We show that this structure represents the symmetry of a linear lattice with periodic boundary conditions.
description: LATEX2e, 10 pages, v2: few misprints corrected, added Journal-ref
Belostoma foveolatum
Creators: name: Moreira, Felipe Ferraz Figueiredo
name: Barbosa, Julianna Freires
name: Ribeiro, José Ricardo Inacio
name: Alecrim, Viviani Pereira
Publisher: name: Zenodo
Year: 2011
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hemiptera
Belostomatidae
Belostoma
Belostoma foveolatum

description: Belostoma foveolatum (Mayr, 1863)
Geographical distribution: Brazil
Distribution in Brazil: all regions (PA, CE, MG, MS, SP, RJ, RS) (Ribeiro 2007).
description: Published as part of Moreira, Felipe Ferraz Figueiredo, Barbosa, Julianna Freires, Ribeiro, José Ricardo Inacio & Alecrim, Viviani Pereira, 2011, Checklist and distribution of semiaquatic and aquatic Heteroptera (Gerromorpha and Nepomorpha) occurring in Brazil 2958, pp. 1-74 in Zootaxa 2958 (1) on page 29, DOI: 10.11646/zootaxa.2958.1.1, http://zenodo.org/record/5281851
Decomposition and Modeling in the Non-Manifold domain
Creators: name: Morando, Franco
Publisher: name: arXiv
Year: 2019
Subjects: subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences
subject: I.3.5; G.2.1
subject: 57Q99, 55U10, 68R05

description: The problem of decomposing non-manifold object has already been studied in solid modeling. However, the few proposed solutions are limited to the problem of decomposing solids described through their boundaries. In this thesis we study the problem of decomposing an arbitrary non-manifold simplicial complex into more regular components. A formal notion of decomposition is developed using combinatorial topology. The proposed decomposition is unique, for a given complex, and is computable for complexes of any dimension. A decomposition algorithm is proposed that is linear w.r.t. the size of the input. In three or higher dimensions a decomposition into manifold parts is not always possible. Thus, in higher dimensions, we decompose a non-manifold into a decidable super class of manifolds, that we call, Initial-Quasi-Manifolds. We also defined a two-layered data structure, the Extended Winged data structure. This data structure is a dimension independent data structure conceived to model non-manifolds through their decomposition into initial-quasi-manifold parts. Our two layered data structure describes the structure of the decomposition and each component separately. In the second layer we encode the connectivity structure of the decomposition. We analyze the space requirements of the Extended Winged data structure and give algorithms to build and navigate it. Finally, we discuss time requirements for the computation of topological relations and show that, for surfaces and tetrahedralizations, embedded in real 3D space, all topological relations can be extracted in optimal time. This approach offers a compact, dimension independent, representation for non-manifolds that can be useful whenever the modeled object has few non-manifold singularities.
description: PhD. Thesis
Do private standards create exclusive supply chains? New evidence from the Peruvian asparagus export sector
Creators: name: Schuster, Monica
name: Maertens, Miet
name: Schuster, Monica
name: Maertens, Miet
Publisher: name: Unknown
Year: 2013
Subjects: subject: Agribusiness
subject: Agricultural and Food Policy
subject: International Relations/Trade
subject: Private standards
subject: Global supply chains
subject: Small-scale farming
subject: Horticultural exports
subject: Peru

description: Developing countries are increasingly exporting fresh horticulture products to high-income countries. These exports increasingly have to comply with stringent public and private standards, as well as other quality and safety issues. There is an ongoing debate on the effect of private standards on the inclusion of small-scale farmers in export supply chains. With this paper, we contribute to this debate by providing robust evidence from the Peruvian asparagus export sector, and thereby addressing several important methodological shortcomings and gaps in the existing literature. We use a unique firm level dataset on 567 asparagus export firms from 1993 – 2011 and several methods, including fixed effects and GMM estimators, to estimate the causal impact of certification to private standards on companies sourcing strategy. We find that certification leads to vertical integration and significantly reduces the share of product that is sourced from external producers, with a larger effect for small-scale producers. When distinguishing between production and processing standards, and between low-level and high-level standards, we find that especially high-level production standards have a negative impact on sourcing from (small-scale) producers.
MOESM9 of Induction of LEF1 by MYC activates the WNT pathway and maintains cell proliferation
Creators: name: Hao, Yi-Heng
name: M. Lafita-Navarro
name: Zacharias, Lauren
name: Nofit Borenstein-Auerbach
name: Kim, Min
name: Barnes, Spencer
name: Jiwoong Kim
name: Shay, Jerry
name: DeBerardinis, Ralph
name: Maralice Conacci-Sorrell
Publisher: name: figshare
Year: 2019
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Additional file 9: Table S1. List of primers.
Relaxation time for quark spin and thermal vorticity alignment in heavy-ion collisions
Creators: name: Ayala, Alejandro
name: de la Cruz, David
name: Hernández-Ortíz, S.
name: Hernández, L. A.
name: Salinas, Jordi
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We compute the relaxation time for quark/antiquark spin and thermal vorticity alignment in a quark-gluon plasma at finite temperature and quark chemical potential. We model the interaction of quark/antiquark spin with thermal vorticity as driven by a phenomenological modification of the elementary quark interaction with gluons. We find that in a scenario where the angular velocity of the quark-gluon plasma produced in a peripheral heavy-ion collision is small, quarks/antiquarks take a long time to align their spin with the vorticity. However, when the angular velocity created in the reaction is large, the alignment is efficient and well within the lifetime of the system created in the reaction. The relaxation time is larger for antiquarks which points out to a difference for the polarization of hadrons and antihadrons when this alignment is preserved during hadronization.
description: 6 pages, 6 figures, discussion extended, version accepted for publication in Physics Letters B
Transcription des brouillons de la danse de Salomé f534
Creators: name: CÉRÉdI
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2017

description: created: n.d.
MOESM8 of Induction of LEF1 by MYC activates the WNT pathway and maintains cell proliferation
Creators: name: Hao, Yi-Heng
name: M. Lafita-Navarro
name: Zacharias, Lauren
name: Nofit Borenstein-Auerbach
name: Kim, Min
name: Barnes, Spencer
name: Jiwoong Kim
name: Shay, Jerry
name: DeBerardinis, Ralph
name: Maralice Conacci-Sorrell
Publisher: name: figshare
Year: 2019
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Evolutionary Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Computational Biology

description: Additional file 8: Figure S8. (A) Heatmap comparing the metabolic profile of myc−/− cell reconstituted with MYC and transfected with either control siRNA or siRNA for LEF1. (B) Metabolites and metabolic pathways altered by LEF1 silencing. (C) Diagram of β-oxidation with metabolites affected by LEF1 knockdown in MYC-expressing cells and their corresponding enzymes.
DeepFEA: Deep Learning for Prediction of Transient Finite Element Analysis Solutions
Creators: name: Triantafyllou, Georgios
name: Kalozoumis, Panagiotis G.
name: Dimas, George
name: Iakovidis, Dimitris K.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Computer and information sciences

description: Finite Element Analysis (FEA) is a powerful but computationally intensive method for simulating physical phenomena. Recent advancements in machine learning have led to surrogate models capable of accelerating FEA. Yet there are still limitations in developing surrogates of transient FEA models that can simultaneously predict the solutions for both nodes and elements with applicability on both the 2D and 3D domains. Motivated by this research gap, this study proposes DeepFEA, a deep learning-based framework that leverages a multilayer Convolutional Long Short-Term Memory (ConvLSTM) network branching into two parallel convolutional neural networks to predict the solutions for both nodes and elements of FEA models. The proposed network is optimized using a novel adaptive learning algorithm, called Node-Element Loss Optimization (NELO). NELO minimizes the error occurring at both branches of the network enabling the prediction of solutions for transient FEA simulations. The experimental evaluation of DeepFEA is performed on three datasets in the context of structural mechanics, generated to serve as publicly available reference datasets. The results show that DeepFEA can achieve less than 3% normalized mean and root mean squared error for 2D and 3D simulation scenarios, and inference times that are two orders of magnitude faster than FEA. In contrast, relevant state-of-the-art methods face challenges with multi-dimensional output and dynamic input prediction. Furthermore, DeepFEA's robustness was demonstrated in a real-life biomedical scenario, confirming its suitability for accurate and efficient predictions of FEA simulations.
description: This work has been submitted to a journal for possible publication