cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Super-Earths and sub-Neptunes are Insensitive to Stellar Metallicity
Creators: name: Kutra, Taylor
name: Wu, Yanqin
name: Qian, Yansong
Publisher: name: arXiv
Year: 2020
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Kepler planets (including super-Earths and sub-Neptunes, from 1 to 4 Earth radii) are likely formed before the gaseous proto-planetary disks have dissipated, as are the Jovian planets. If the metal content in these disks resembles that in the host stars, one might expect Kepler planets to occur more frequently, and to be more massive, around metal-rich stars. Contrary to these expectations, we find that the radii of Kepler planets (a proxy for mass) are independent of host metallicity. Previous claims that larger planets prefer more metal-rich stars can be adequately explained by the combined facts that more massive stars tend to host bigger planets, and that more massive stars are also more metal rich in the Kepler sample. We interpret this independence as that the mass of a Kepler planet is not determined by the availability of solids, but is instead regulated by an as yet unknown process. Moreover, we find that the occurrence rates of Kepler planets rise only weakly with stellar metallicity, a trend that is further flattened when the influence of close stellar binaries is accounted for. We explain this weak dependence, in contrast to the strong dependence exhibited by Jovian planets, using a phenomenological model, wherein the masses of proto-planetary disks have a much larger spread than the spread in stellar metallicity, and wherein the formation of Jovian planets requires disks that contain some $5$ times more solid than that needed to form Kepler planets. This model predicts that stars more metal-poor than half-solar should rarely host any Kepler planets.
description: Accepted to AJ, major expansion on sample bias and completeness correction. Conclusions unchanged
On alternative approximating distributions in the multivariate version of Kolmogorov's second uniform limit theorem
Creators: name: Götze, Friedrich
name: Zaitsev, Andrei Yu.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: Primary 60F05, secondary 60E15, 60G50

description: The aim of the present work is to show that recent results of the authors on the approximation of distributions of sums of independent summands by the infinitely divisible laws on convex polyhedra can be shown via an alternative class of approximating infinitely divisible distributions. We will also generalize the results to the infinite-dimensional case.
description: 16 pages
The Enchanted Gaze: Modification of Butterfly Eyespots in Flemish Art
Creators: name: Simbula, Giulia
name: Zingaro, Vincenzo
name: Portera, Mariagrazia
name: Dapporto, Leonardo
Publisher: name: Brill Online
Year: 2024
Subjects: classificationCode: 520406
subject: Sensory processes, perception and performance

description: As shown by Palaeolithic cave paintings, animals were the first subjects that humans began to depict and recall in their imagination, not solely for their utilitarian function. Some animals, due to distinctive morphological features, appear to have captured our ancestors’ attention in a special way. This is the case of animals with eye-like patterns, which have been reproduced in multiple ways and contexts throughout human history. This paper examines how Flemish artists have depicted a particular example of eye-like patterns, the eyespots on the wings of Aglais io butterflies, to understand whether these artists attributed any particular relevance to the eyespots. Modifications were identified by comparing 51 real images and 50 depicted ones of A. io by means of geometric morphometrics using 34 landmarks and 12 semi-landmarks. Generally, eyespots resulted to be located towards the interior of the wing, enabling us to discriminate 92% of depicted A. io from real images. This tendency is in line with the observer centre bias but, in this case, applied to the production of pictorial images rather than to their visual fruition, and which might be called ‘a shifting location bias’. Moreover, the eyespots’ size was depicted with accuracy and minimal variation among painters, while the outline of the wings appeared to be subject to considerable artistic freedom. Overall, these findings highlight the importance attributed by the artists to the eyespots, sustaining the hypothesis concerning the salience of this feature in attracting human attention.
A regularity method for lower bounds on the Lyapunov exponent for stochastic differential equations
Creators: name: Bedrossian, Jacob
name: Blumenthal, Alex
name: Punshon-Smith, Sam
Publisher: name: arXiv
Year: 2020
Subjects: subject: Dynamical Systems (math.DS)
subject: Analysis of PDEs (math.AP)
subject: Probability (math.PR)
subject: FOS: Mathematics

description: We put forward a new method for obtaining quantitative lower bounds on the top Lyapunov exponent of stochastic differential equations (SDEs). Our method combines (i) an (apparently new) identity connecting the top Lyapunov exponent to a Fisher information-like functional of the stationary density of the Markov process tracking tangent directions with (ii) a novel, quantitative version of Hörmander's hypoelliptic regularity theory in an $L^1$ framework which estimates this (degenerate) Fisher information from below by a $W^{s,1}_{\mathrm{loc}}$ Sobolev norm. This method is applicable to a wide range of systems beyond the reach of currently existing mathematically rigorous methods. As an initial application, we prove the positivity of the top Lyapunov exponent for a class of weakly-dissipative, weakly forced SDE; in this paper we prove that this class includes the Lorenz 96 model in any dimension, provided the additive stochastic driving is applied to any consecutive pair of modes.
description: 62 pages, updated intro and appendix
201805 ORCID in Publishing Workflows (SSP Breakfast meeting 2018)
Creators: name: Paglione, Laura
name: Meadows, Alice
name: Arndt, Erin
Publisher: name: Figshare
Year: 2018
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences

description: On Thursday, May 31, ORCID and Wiley co-hosted a breakfast at SSP’s annual meeting in Chicago, IL. At the meeting, we shared ORCID’s work with a group of associations, publishers, funders and user facilities to identify which data would help research resources (such as national laboratories, special collections, etc) map their impact, and to determine whether and how ORCID could be used to increase data capture and reduce the reporting burden.The group has published its report and we have launched two workflows for research resources. Participants at the breakfast meeting learned about the proposed workflow for integrating award and facility identifiers into publishing processes.This presentation was given during the breakfast workshop.
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks
Creators: name: de Beurs, Zoe L.
name: Vanderburg, Andrew
name: Shallue, Christopher J.
name: Dumusque, Xavier
name: Cameron, Andrew Collier
name: Leet, Christopher
name: Buchhave, Lars A.
name: Cosentino, Rosario
name: Ghedina, Adriano
name: Haywood, Raphaëlle D.
name: Langellier, Nicholas
name: Latham, David W.
name: López-Morales, Mercedes
name: Mayor, Michel
name: Micela, Giusi
name: Milbourne, Timothy W.
name: Mortier, Annelies
name: Molinari, Emilio
name: Pepe, Francesco
name: Phillips, David F.
name: Pinamonti, Matteo
name: Piotto, Giampaolo
name: Rice, Ken
name: Sasselov, Dimitar
name: Sozzetti, Alessandro
name: Udry, Stéphane
name: Watson, Christopher A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Exoplanet detection with precise radial velocity (RV) observations is currently limited by spurious RV signals introduced by stellar activity. We show that machine learning techniques such as linear regression and neural networks can effectively remove the activity signals (due to starspots/faculae) from RV observations. Previous efforts focused on carefully filtering out activity signals in time using modeling techniques like Gaussian Process regression (e.g. Haywood et al. 2014). Instead, we systematically remove activity signals using only changes to the average shape of spectral lines, and no information about when the observations were collected. We trained our machine learning models on both simulated data (generated with the SOAP 2.0 software; Dumusque et al. 2014) and observations of the Sun from the HARPS-N Solar Telescope (Dumusque et al. 2015; Phillips et al. 2016; Collier Cameron et al. 2019). We find that these techniques can predict and remove stellar activity from both simulated data (improving RV scatter from 82 cm/s to 3 cm/s) and from more than 600 real observations taken nearly daily over three years with the HARPS-N Solar Telescope (improving the RV scatter from 1.753 m/s to 1.039 m/s, a factor of ~ 1.7 improvement). In the future, these or similar techniques could remove activity signals from observations of stars outside our solar system and eventually help detect habitable-zone Earth-mass exoplanets around Sun-like stars.
description: 28 pages, 14 figures, Accepted for publication in the Astronomical Journal
The transport of images method: computing all zeros of harmonic mappings by continuation
Creators: name: Sète, Olivier
name: Zur, Jan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 65H20, 31A05, 30C55

description: We present a continuation method to compute all zeros of a harmonic mapping $f$ in the complex plane. Our method works without any prior knowledge of the number of zeros or their approximate location. We start by computing all solution of $f(z) = η$ with $|η|$ sufficiently large and then track all solutions as $η$ tends to $0$ to finally obtain all zeros of $f$. Using theoretical results on harmonic mappings we analyze where and how the number of solutions of $f(z) = η$ changes and incorporate this into the method. We prove that our method is guaranteed to compute all zeros, as long as none of them is singular. In our numerical example the method always terminates with the correct number of zeros, is very fast compared to general purpose root finders and is highly accurate in terms of the residual. An easy-to-use MATLAB implementation is freely available online.
Generalizations of degeneracy second main theorem and Schmidt's subspace theorem
Creators: name: Quang, Si Duc
Publisher: name: arXiv
Year: 2020
Subjects: subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 32H30, 32A22, 30D35, 11J68, 11J25

description: In this paper, by introducing the notion of "\textit{distributive constant}" of a family of hypersurfaces with respect to a projective variety, we prove a second main theorem in Nevanlinna theory for meromorphic mappings with arbitrary families of hypersurfaces in projective varieties. Our second main theorem generalizes and improves previous results for meromorphic mappings with hypersurfaces, in particular for algebraically degenerate mappings and for the families of hypersurfaces in subgeneral position. The analogous results for the holomorphic curves with finite growth index from a complex disc into a project variety, and for meromorphic mappings on a complete Kähler manifold are also given. For the last aim, we will prove a Schmidt's subspace theorem for an arbitrary families of homogeneous polynomials, which is the counterpart in Number theory of our second main theorem. Our these results are generalizations and improvements of all previous results.
description: Some typos are cleared. arXiv admin note: text overlap with arXiv:1712.05698
The POEMMA (Probe of Extreme Multi-Messenger Astrophysics) Observatory
Creators: name: Olinto, A. V.
name: Krizmanic, J.
name: Adams, J. H.
name: Aloisio, R.
name: Anchordoqui, L. A.
name: Anzalone, A.
name: Bagheri, M.
name: Barghini, D.
name: Battisti, M.
name: Bergman, D. R.
name: Bertaina, M. E.
name: Bertone, P. F.
name: Bisconti, F.
name: Bustamante, M.
name: Cafagna, F.
name: Caruso, R.
name: Casolino, M.
name: Černý, K.
name: Christl, M. J.
name: Cummings, A. L.
name: De Mitri, I.
name: Diesing, R.
name: Engel, R.
name: Eser, J.
name: Fang, K.
name: Fenu, F.
name: Filippatos, G.
name: Gazda, E.
name: Guepin, C.
name: Haungs, A.
name: Hays, E. A.
name: Judd, E. G.
name: Klimov, P.
name: Kungel, V.
name: Kuznetsov, E.
name: Mackovjak, Š.
name: Mandát, D.
name: Marcelli, L.
name: McEnery, J.
name: Medina-Tanco, G.
name: Merenda, K. -D.
name: Meyer, S. S.
name: Mitchell, J. W.
name: Miyamoto, H.
name: Nachtman, J. M.
name: Neronov, A.
name: Oikonomou, F.
name: Onel, Y.
name: Osteria, G.
name: Otte, A. N.
name: Parizot, E.
name: Paul, T.
name: Pech, M.
name: Perkins, J. S.
name: Picozza, P.
name: Piotrowski, L. W.
name: Plebaniak, Z.
name: Prévôt, G.
name: Reardon, P.
name: Reno, M. H.
name: Ricci, M.
name: Matamala, O. Romero
name: Sarazin, F.
name: Schovánek, P.
name: Scotti, V.
name: Shinozaki, K.
name: Soriano, J. F.
name: Stecker, F.
name: Takizawa, Y.
name: Ulrich, R.
name: Unger, M.
name: Venters, T. M.
name: Wiencke, L.
name: Winn, D.
name: Young, R. M.
name: Zotov, M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The Probe Of Extreme Multi-Messenger Astrophysics (POEMMA) is designed to accurately observe ultra-high-energy cosmic rays (UHECRs) and cosmic neutrinos from space with sensitivity over the full celestial sky. POEMMA will observe the extensive air showers (EASs) from UHECRs and UHE neutrinos above 20 EeV via air fluorescence. Additionally, POEMMA will observe the Cherenkov signal from upward-moving EASs induced by Earth-interacting tau neutrinos above 20 PeV. The POEMMA spacecraft are designed to quickly re-orientate to follow up transient neutrino sources and obtain unparalleled neutrino flux sensitivity. Developed as a NASA Astrophysics Probe-class mission, POEMMA consists of two identical satellites flying in loose formation in 525 km altitude orbits. Each POEMMA instrument incorporates a wide field-of-view (45$^\circ$) Schmidt telescope with over 6 m$^2$ of collecting area. The hybrid focal surface of each telescope includes a fast (1~$μ$s) near-ultraviolet camera for EAS fluorescence observations and an ultrafast (10~ns) optical camera for Cherenkov EAS observations. In a 5-year mission, POEMMA will provide measurements that open new multi-messenger windows onto the most energetic events in the universe, enabling the study of new astrophysics and particle physics at these otherwise inaccessible energies.
description: 66 pages, 53 figures; JCAP accepted version
The Voronoi tessellation method in astronomy
Creators: name: Vavilova, Irina
name: Elyiv, Andrii
name: Dobrycheva, Daria
name: Melnyk, Olga
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The Voronoi tessellation is a natural way of space segmentation, which has many applications in various fields of science and technology, as well as in social sciences and visual art. The varieties of the Voronoi tessellation methods are commonly used in computational fluid dynamics, computational geometry, geolocation and logistics, game dev programming, cartography, engineering, liquid crystal electronic technology, machine learning, etc. The very innovative results were obtained in astronomy, namely for a large-scale galaxy distribution and cosmic web pattern, for revealing the quasi-periodicity in a pencil-beam survey, for a description of constraints on the isotropic cosmic microwave background and the explosion scenario likely supernova events, for image processing, adaptive smoothing, segmentation, for signal-to-noise ratio balancing, for spectrography data analysis as well as in the moving-mesh cosmology simulation. We briefly describe these results, paying more attention to the practical application of the Voronoi tessellation related to the spatial large-scale galaxy distribution.
description: 24 pages, 6 figures, accepted to Intelligent Astrophysics, Eds. I. Zelinka, D. Baron, M. Brescia
title: «Чужое: мое сокровище!»
Creators: name: Новгородский государственный университет имени Ярослава Мудрого
Publisher: name: Новгородский государственный университет имени Ярослава Мудрого (НовГУ)
Year: 2022

description: В сборник статей памяти доктора филологических наук, профессора Вячеслава Анатольевича Кошелева (20 сентября 1950 – 16 июля 2020) вошли статьи его друзей, коллег и учеников, посвященные широкому кругу литературоведческих проблем. Книга состоит из трех научных разделов (первый – пушкинский, во втором собраны статьи о русской литературе первой половины XIX века, третий содержит статьи о русской литературе конца XIX – XX столетия). Воспоминания о В. А. Кошелеве, а также первая попытка изучения его научного метода составили заключительную часть издания. Сборник содержит библиографию опубликованных научных трудов ученого.
Предназначено для исследователей, студентов-филологов и всех, занимающихся историей русской литературы XIX–ХХ веков.
EDN: Salient Object Detection via Extremely-Downsampled Network
Creators: name: Wu, Yu-Huan
name: Liu, Yun
name: Zhang, Le
name: Cheng, Ming-Ming
name: Ren, Bo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Recent progress on salient object detection (SOD) mainly benefits from multi-scale learning, where the high-level and low-level features collaborate in locating salient objects and discovering fine details, respectively. However, most efforts are devoted to low-level feature learning by fusing multi-scale features or enhancing boundary representations. High-level features, which although have long proven effective for many other tasks, yet have been barely studied for SOD. In this paper, we tap into this gap and show that enhancing high- level features is essential for SOD as well. To this end, we introduce an Extremely-Downsampled Network (EDN), which employs an extreme downsampling technique to effectively learn a global view of the whole image, leading to accurate salient object localization. To accomplish better multi-level feature fusion, we construct the Scale-Correlated Pyramid Convolution (SCPC) to build an elegant decoder for recovering object details from the above extreme downsampling. Extensive experiments demonstrate that EDN achieves state-of-the-art performance with real-time speed. Our efficient EDN-Lite also achieves competitive performance with a speed of 316fps. Hence, this work is expected to spark some new thinking in SOD. Code is available at https://github.com/yuhuan-wu/EDN.
description: Accepted by IEEE Transactions on Image Processing, 12 pages
Poisson Factorization For Peer-Based Anomaly Detection
Creators: name: Turcotte, M.
name: Moore, J.
name: Heard, Na
name: McPhall, A.
Publisher: name: Zenodo
Year: 2016

description: Anomaly detection systems are a promising tool to identify compromised user credentials and malicious insiders in enterprise networks. Most existing approaches for modelling user behaviour rely on either independent observations for each user or on pre-defined user peer groups. A method is proposed based on recommender system algorithms to learn overlapping user peer groups and to use this learned structure to detect anomalous activity. Results analysing the authentication and process-running activities of thousands of users show that the proposed method can detect compromised user accounts during a red team exercise.
$L^p$ Regularity Estimates for a Class of Integral Operators with Fold Blowdown Singularities
Creators: name: Bentsen, Geoffrey
Publisher: name: arXiv
Year: 2021
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 35S30, 42B20, 42B35, 44A12, 46E35

description: We prove sharp $L^p$ regularity results for a class of generalized Radon transforms for families of curves in a three-dimensional manifold associated to a canonical relation with fold and blowdown singularities. The proof relies on decoupling inequalities by Wolff and Bourgain-Demeter for plate decompositions of thin neighborhoods of cones and $L^2$ estimates for related oscillatory integrals.
description: 31 pages. Reorganized the proof of Proposition 4. Revised version incorporating referee's suggestions. To appear in The Journal of Geometric Analysis
Connecting the Light Curves of Type IIP Supernovae to the Properties of their Progenitors
Creators: name: Barker, Brandon L.
name: Harris, Chelsea E.
name: Warren, MacKenzie L.
name: O'Connor, Evan P.
name: Couch, Sean M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Observations of core-collapse supernovae (CCSNe) reveal a wealth of information about the dynamics of the supernova ejecta and its composition but very little direct information about the progenitor. Constraining properties of the progenitor and the explosion requires coupling the observations with a theoretical model of the explosion. Here, we begin with the CCSN simulations of Couch et al 2020 ApJ 890 127, which use a non-parametric treatment of the neutrino transport while also accounting for turbulence and convection. In this work we use the SuperNova Explosion Code to evolve the CCSN hydrodynamics to later times and compute bolometric light curves. Focusing on SNe IIP, we then (1) directly compare the theoretical STIR explosions to observations and (2) assess how properties of the progenitor's core can be estimated from optical photometry in the plateau phase alone. First, the distribution of plateau luminosities (L$_{50}$) and ejecta velocities achieved by our simulations is similar to the observed distributions. Second, we fit our models to the light curves and velocity evolution of some well-observed SNe. Third, we recover well-known correlations, as well as the difficulty of connecting any one SN property to zero-age main sequence mass. Finally, we show that there is a usable, linear correlation between iron core mass and L$_{50}$ such that optical photometry alone of SNe IIP can give us insights into the cores of massive stars. Illustrating this by application to a few SNe, we find iron core masses of 1.3-1.5 solar masses with typical errors of ~0.05 solar masses. Data are publicly available online (\url{https://doi.org/10.5281/zenodo.6631964}).
description: 23 pages, Accepted to ApJ. Data available online https://doi.org/10.5281/zenodo.6631964
Microave Dielectric Relaxation Spectroscopy Studies On Polar –Polar Binary Liquid Mixtures Of Triethylene Glycol With Ethyl Butyrate
Creators: name: K.Umamakeshvari
name: U.Sankar
name: A.Moses Ezhil Raj
name: A.C.Kumbharkhane
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.
Optimised one-class classification performance
Creators: name: Lenz, Oliver Urs
name: Peralta, Daniel
name: Cornelis, Chris
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: We provide a thorough treatment of one-class classification with hyperparameter optimisation for five data descriptors: Support Vector Machine (SVM), Nearest Neighbour Distance (NND), Localised Nearest Neighbour Distance (LNND), Local Outlier Factor (LOF) and Average Localised Proximity (ALP). The hyperparameters of SVM and LOF have to be optimised through cross-validation, while NND, LNND and ALP allow an efficient form of leave-one-out validation and the reuse of a single nearest-neighbour query. We experimentally evaluate the effect of hyperparameter optimisation with 246 classification problems drawn from 50 datasets. From a selection of optimisation algorithms, the recent Malherbe-Powell proposal optimises the hyperparameters of all data descriptors most efficiently. We calculate the increase in test AUROC and the amount of overfitting as a function of the number of hyperparameter evaluations. After 50 evaluations, ALP and SVM significantly outperform LOF, NND and LNND, and LOF and NND outperform LNND. The performance of ALP and SVM is comparable, but ALP can be optimised more efficiently so constitutes a good default choice. Alternatively, using validation AUROC as a selection criterion between ALP or SVM gives the best overall result, and NND is the least computationally demanding option. We thus end up with a clear trade-off between three choices, allowing practitioners to make an informed decision.
description: Submitted version of manuscript
A Glimpse of Physical Layer Decision Mechanisms: Facts, Challenges, and Remedies
Creators: name: Gecgel, Selen
name: Goztepe, Caner
name: Kurt, Gunes Karabulut
name: Yanikomeroglu, Halim
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Communications are realized as a result of successive decisions at the physical layer, from modulation selection to multi-antenna strategy, and each decision affects the performance of the communication systems. Future communication systems must include extensive capabilities as they will encompass a wide variety of devices and applications. Conventional physical layer decision mechanisms may not meet these requirements, as they are often based on impractical and oversimplifying assumptions that result in a trade-off between complexity and efficiency. By leveraging past experiences, learning-driven designs are promising solutions to present a resilient decision mechanism and enable rapid response even under exceptional circumstances. The corresponding design solutions should evolve following the lines of learning-driven paradigms that offer more autonomy and robustness. This evolution must take place by considering the facts of real-world systems and without restraining assumptions. In this paper, the common assumptions in the physical layer are presented to highlight their discrepancies with practical systems. As a solution, learning algorithms are examined by considering the implementation steps and challenges. Furthermore, these issues are discussed through a real-time case study using software-defined radio nodes to demonstrate the potential performance improvement. A cyber-physical framework is presented to incorporate future remedies.
description: in IEEE Open Journal of the Communications Society, 2022
A Literature Review of the Pipeline of International Secondary Students to.pdf
Creators: name: Viaud, Karina
Publisher: name: figshare
Year: 2020
Subjects: subject: Education
subject: 130103 Higher Education
subject: FOS: Educational sciences
subject: 130106 Secondary Education

description: This paper confirms that global education is the pipeline for international secondary students–specifically, Chinese students on F-1 visa–to position themselves and compete for admission for United States postsecondary education. Juxtapose this with a review of United States secondary schools enrolled predominantly by White and Asian students, global education is limited by a narrow representation of diverse students and perspectives. The perpetuation of such low diverse international students continues into higher education through recruitment efforts that are too familiar in practice to educators, known as practice theory. Practice theory is briefly described as a sequence of organized steps, languages, behaviors that are routine and become familiar to educators and contribute to a system of inequity in education. This paper addresses the importance of exploring recruitment practices that are inclusive and responsive to wider diverse international students to study in the United States, using conceptual frameworks to understand their interest for an abroad experience, and knowing the history of education to understand the perception of the United States held by international students and families.
Connecting Constructive Notions of Ordinals in Homotopy Type Theory
Creators: name: Kraus, Nicolai
name: Forsberg, Fredrik Nordvall
name: Xu, Chuangjie
Publisher: name: arXiv
Year: 2021
Subjects: subject: Logic in Computer Science (cs.LO)
subject: Logic (math.LO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: F.4.1

description: In classical set theory, there are many equivalent ways to introduce ordinals. In a constructive setting, however, the different notions split apart, with different advantages and disadvantages for each. We consider three different notions of ordinals in homotopy type theory, and show how they relate to each other: A notation system based on Cantor normal forms, a refined notion of Brouwer trees (inductively generated by zero, successor and countable limits), and wellfounded extensional orders. For Cantor normal forms, most properties are decidable, whereas for wellfounded extensional transitive orders, most are undecidable. Formulations for Brouwer trees are usually partially decidable. We demonstrate that all three notions have properties expected of ordinals: their order relations, although defined differently in each case, are all extensional and wellfounded, and the usual arithmetic operations can be defined in each case. We connect these notions by constructing structure preserving embeddings of Cantor normal forms into Brouwer trees, and of these in turn into wellfounded extensional orders. We have formalised most of our results in cubical Agda.
description: main part (16 pages) published at MFCS'21; arXiv version contains an appendix with proofs (27 pages total)
Pagurus trigonocheirus
Creators: name: Marin, Ivan
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Malacostraca
Decapoda
Paguridae
Pagurus
Pagurus trigonocheirus

description: Pagurus trigonocheirus (Stimpson, 1858)
(Fig. 2)
Eupagurus trigonocheirus Stimpson, 1858: 249; 1907: 211, pl. 26 fig. 2.
Pagurus trigonocheirus. — Makarov, 1938b: 109; 1962: 109.— Kim, 1973: 234, text-fig. 55, pl. 6 fig. 35.— McLaughlin, 1974: 233, figs. 59, 60, pl. 1 figs. 1, 2.— Miyake, 1982: 126, pl. 42 fig. 4.— Asakura, 2006: 42, figs. 48–50.
Material examined. 2 males, 3 females, 4 juveniles (LEMMI), Russian Far East, Sea of Japan, Peter the Great Bay, opposite the Vostok Bay, depth 60–100 m, sandy-gravel bottom, Agassiz trawl, coll. I. Marin, 29 May 2014; 2 males, 3 females, 2 juveniles (LEMMI), Russian Far East, Sea of Japan, Peter the Great Bay, opposite the Ussuri Bay, depth 85 m, sandy-gravel bottom, Agassiz trawl, coll. I. Marin, 30 May 2014.
Morphological diagnostic features. The species can be clearly separated from the related congeners (Pagurus rathbuni (Benedict, 1892), Pagurus townsendi (Benedict, 1892), Pagurus dalli (Benedict, 1892) and Pagurus pubescens Krøyer, 1838) by the presence of a prominent concavity and well-marked crest on the minor (left) pereiopod I (cheliped) (Fig. 2 c, d), the absence of bristle setae on the distolateral margin of carpus of major (right) pereiopod I (see Fig. 2 e) and bright white spots on the carpo-propodal articulation of the chelipeds and ambulatory pereiopods in living specimens (Fig. 2 a).
Records from the Sea of Japan. Sublittoral, 50– 150 m. North of Mikuni (Fukui-ken), north and north-east of Noto (Yokoya 1933), Oshoro (Igarashi 1970) and Toyama Bay, Japan (Asakura 2006); east coast of Korea (Kim, 1973); the Peter the Great Bay, Russia (present study) (Fig. 1).
General Distribution. Subtidal to 497 m. Bering Sea, the Chukchi Sea, Aleutian Islands and Kamchatka coastline, Kuril Islands, Sakhalin, the Sea of Japan, Korea, the Pacific coasts of northern Japan southward to Inubo-zaki (Makarov 1938b, 1962 (as P. pubescens )); McLaughlin 1974; Miyake 1982; Asakura 2006; Komatsu & Komai 2009; Komai et al. 2015). Note that such wide distributions need to be verified for the reasons discussed above.
description: Published as part of Marin, Ivan, 2020, The records of Pagurus trigonocheirus (Stimpson, 1858) (Crustacea: Decapoda Paguridae) from the continental coasts of the Peter the Great Bay of the Sea of Japan with the list of hermit crab species from the area, pp. 275-280 in Zootaxa 4869 (2) on pages 276-278, DOI: 10.11646/zootaxa.4869.2.7, http://zenodo.org/record/4418599
Permeation Instabilities in Active, Polar Gels
Creators: name: Adar, Ram M.
name: Joanny, Jean-François
Publisher: name: arXiv
Year: 2021
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: We present a theory of active, permeating, polar gels, based on a two-fluid model. An active relative force between the gel components creates a steady-state current. We analyze its stability, while considering two polar coupling terms to the relative current: a permeation-deformation term, which describes network deformation by the solvent flow, and a permeation-alignment term, which describes the alignment of the polarization field by the network deformation and flow. Novel instability mechanisms emerge at finite wave vectors, suggesting the formation of periodic domains and mesophases. Our results can be used to determine the physical conditions required for various types of multicellular migration across tissues.
description: 16 pages, 2 figures (Supplemental Material included)
title: Bacterial foodborne Vibrio infections: health risk assessment of the occurrence of Vibrio spp. (non-cholera vibrios) in food: BfR Opinion No 011/2022 of 13 April 2022
Creators: name: Bundesinstitut Für Risikobewertung
Publisher: name: Bundesbehörden und Einrichtungen im Geschäftsbereich des Bundesministeriums für Ernährung und Landwirtschaft (BMEL)
Year: 2022
Subjects: subject: 000

description: BfR-Stellungnahmen, vol. 2022, no. 011
title: Интеллектуальные информационные системы в экономике
Creators: name: ELS IPR BOOKS
Publisher: name: Ай Пи Ар Медиа
Year: 2022

description: Учебное пособие освещает вопросы применения в экономике ряда сквозных технологий, приведенных в Национальной программе «Цифровая экономика Российской Федерации», таких как «Искусственный интеллект» и «Нейротехнологии, технологии виртуальной и дополненной реальностей». В издании на примере оценки финансово-экономического состояния и кредитоспособности предприятий, а также финансового и социально-экономического состояния регионов рассмотрены нечеткие продукционные системы и гибридные сети. Приведены теоретические основы диагностики состояния предприятий и регионов, показан процесс разработки НПС и гибридных сетей, реализующих данную задачу на практике. Подготовлено с учетом требований Федерального государственного образовательного стандарта высшего образования. Учебное пособие предназначено для изучения дисциплины «Интеллектуальные информационные системы» студентами укрупненной группы направлений подготовки 09.00.00 «Информатика и вычислительная техника», а также дисциплин «Когнитивная экономика», «Интеллектуальные методы в экономике и бизнесе» студентами укрупненной группы 38.00.00 «Экономика и управление». Будет полезно научным работникам, аспирантам, аудиторам, работникам кредитных организаций.
Local data of rational elliptic curves with non-trivial torsion
Creators: name: Barrios, Alexander J.
name: Roy, Manami
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11G05, 11G07, 11G40, 14H52

description: By Mazur's Torsion Theorem, there are fourteen possibilities for the non-trivial torsion subgroup $T$ of a rational elliptic curve. For each $T$, such that $E$ may have additive reduction at a prime $p$, we consider a parameterized family $E_T$ of elliptic curves with the property that they parameterize all elliptic curves $E/\mathbb{Q}$ which contain $T$ in their torsion subgroup. Using these parameterized families, we explicitly classify the Kodaira-Néron type, the conductor exponent, and the local Tamagawa number at each prime $p$ where $E/\mathbb{Q}$ has additive reduction. As a consequence, we find all rational elliptic curves with a $2$-torsion or a $3$-torsion point that have global Tamagawa number $1$.
description: 36 pages; incorporates referee's suggestions; final version to appear in Pacific Journal of Mathematics
title: Искусственный интеллект в экономике
Creators: name: ELS IPR BOOKS
Publisher: name: Ай Пи Ар Медиа
Year: 2022

description: Монография освещает вопросы применения в экономике ряда сквозных технологий, приведенных в Национальной программе «Цифровая экономика Российской Федерации», таких как «Искусственный интеллект» и «Нейротехнологии, технологии виртуальной и дополненной реальностей». В издании изложены некоторые экономические задачи, такие как оценка финансово-экономического состояния и кредитоспособности предприятий, а также финансового и социально-экономического состояния регионов с использованием систем искусственного интеллекта, таких как нейронные и гибридные сети, а также нечеткие продукционные системы. Особое внимание уделено раскрытию темы искусственных нейронных сетей и аппарату нечеткой логики. Все исследования приведены в пакетах Statistica Neural Networks, Neural Networks Toolbox, Fuzzy Logic Toolbox и редакторе ANFIS системы Matlab. Монография предназначена для научных работников, аспирантов, студентов укрупненных групп направлений подготовки 01.00.00 «Математика и механика», 09.00.00 «Информатика и вычислительная техника» и 38.00.00 «Экономика и управление», финансовых директоров, руководителей департаментов и администраций, менеджеров, аудиторов, работников кредитных организаций и т.д.
SNIascore: Deep Learning Classification of Low-Resolution Supernova Spectra
Creators: name: Fremling, Christoffer
name: Hall, Xander J.
name: Coughlin, Michael W.
name: Dahiwale, Aishwarya S.
name: Duev, Dmitry A.
name: Graham, Matthew J.
name: Kasliwal, Mansi M.
name: Kool, Erik C.
name: Mahabal, Ashish A.
name: Miller, Adam A.
name: Neill, James D.
name: Perley, Daniel A.
name: Rigault, Mickael
name: Rosnet, Philippe
name: Rusholme, Ben
name: Sharma, Yashvi
name: Shin, Kyung Min
name: Shupe, David L.
name: Sollerman, Jesper
name: Walters, Richard S.
name: Kulkarni, S. R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present SNIascore, a deep-learning based method for spectroscopic classification of thermonuclear supernovae (SNe Ia) based on very low-resolution (R $\sim100$) data. The goal of SNIascore is fully automated classification of SNe Ia with a very low false-positive rate (FPR) so that human intervention can be greatly reduced in large-scale SN classification efforts, such as that undertaken by the public Zwicky Transient Facility (ZTF) Bright Transient Survey (BTS). We utilize a recurrent neural network (RNN) architecture with a combination of bidirectional long short-term memory and gated recurrent unit layers. SNIascore achieves a $<0.6\%$ FPR while classifying up to $90\%$ of the low-resolution SN Ia spectra obtained by the BTS. SNIascore simultaneously performs binary classification and predicts the redshifts of secure SNe Ia via regression (with a typical uncertainty of $<0.005$ in the range from $z = 0.01$ to $z = 0.12$). For the magnitude-limited ZTF BTS survey ($\approx70\%$ SNe Ia), deploying SNIascore reduces the amount of spectra in need of human classification or confirmation by $\approx60\%$. Furthermore, SNIascore allows SN Ia classifications to be automatically announced in real-time to the public immediately following a finished observation during the night.
description: 12 pages, 5 figures, 2 tables, accepted for publication in ApJL
title: Нейросетевые технологии в экономике
Creators: name: ELS IPR BOOKS
Publisher: name: Ай Пи Ар Медиа
Year: 2022

description: Учебное пособие освещает вопросы применения в экономике ряда сквозных технологий, приведенных в Национальной программе «Цифровая экономика Российской Федерации», таких как «Искусственный интеллект» и «Нейротехнологии, технологии виртуальной и дополненной реальностей». В издании рассмотрено применение нейросетевых технологий в экономических задачах, таких как оценка финансово-экономического состояния и кредитоспособности предприятий. Помимо основных сведений о нейронных сетях и пакетах по работе с ними, таких как Statistica Neural Networks и Neural Networks Toolbox системы Matlab, приведены теоретические основы диагностики состояния предприятий и показано создание 11 нейронных сетей, реализующих данную задачу на практике. Кроме того, предложены задачи для самостоятельного решения в пакетах Statistica Neural Networks и Neural Networks Toolbox системы Matlab, а также контрольные вопросы к каждой главе. Подготовлено с учетом требований Федерального государственного образовательного стандарта высшего образования. Учебное пособие предназначено для изучения дисциплины «Нейросетевые технологии» студентами укрупненных групп направлений подготовки 01.00.00 «Математика и механика» и 09.00.00 «Информатика и вычислительная техника», а также дисциплин «Нейросетевые технологии в обработке экономической информации», «Информационные системы в экономике» студентами укрупненной группы 38.00.00 «Экономика и управление». Будет полезно научным работникам, аспирантам, студентам, финансовым директорам, менеджерам, аудиторам, работникам кредитных организаций и т. д.
Gestión sostenible en la producción de la caña de azúcar : un estudio de caso del Ingenio Carmelita en contribución al ODS 13
Creators: name: Medina Acosta, Sandra Milena
name: Londoño Reyes, Andrés Leonardo
Publisher: name: Universidad Externado de Colombia
Year: 2024
Subjects: subject: Organización - Aspectos sociales
subject: Producción industrial
subject: Centrales azucareras
subject: Sostenibilidad
subject: Producción
subject: Contribución
subject: ODS

description: La investigación tiene como objetivo analizar la pertinencia de las acciones del Ingenio Carmelita en la gestión de asuntos socioeconómicos, ambientales y de gobernanza durante una transición tecnológica para la producción sostenible de caña de azúcar, en línea con el Objetivo de Desarrollo Sostenible 13. Los objetivos específicos incluyen establecer el marco teórico y conceptual, proponer la metodología, comprender el proceso de producción de caña de azúcar y la cosecha en el ingenio, analizar las expectativas y afectaciones socioeconómicas de los corteros, así como los cambios ambientales y aspectos de gobernanza relacionados con la transición tecnológica. Además, se busca determinar la pertinencia de las acciones del Ingenio Carmelita en esta transición, identificando factores de éxito y áreas de mejora. Este estudio contribuirá a comprender cómo las empresas pueden abordar de manera efectiva los desafíos socioeconómicos y ambientales en su proceso de modernización.
description: The research aims to analyze the relevance of the actions undertaken by Ingenio Carmelita in managing socioeconomic, environmental, and governance issues during a technological transition for sustainable sugarcane production, in line with Sustainable Development Goal 13. Specific objectives include establishing the theoretical and conceptual framework, proposing the methodology, understanding the sugarcane production process and harvesting at the mill, analyzing the socio-economic expectations and impacts on the cane cutters, as well as environmental changes and governance aspects related to the technological transition. Additionally, the study seeks to determine the relevance of Ingenio Carmelita's actions in this transition, identifying success factors and areas for improvement. This research will contribute to understanding how companies can effectively address socioeconomic and environmental challenges in their modernization process.
An extended 3-3-1 model with radiative linear seesaw mechanism
Creators: name: Hernández, A. E. Cárcamo
name: Kovalenko, Sergey
name: Queiroz, Farinaldo S.
name: Villamizar, Yoxara S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Motivated by the recent muon anomalous magnetic moment (g-2) measurement at FERMILAB and non-zero neutrino masses, we propose a model based on the $SU(3)_C \times SU(3)_L \times U(1)_X$ (3-3-1) gauge symmetry. The most popular 3-3-1 models in the literature require the presence of a scalar sextet to address neutrino masses. In our work, we show that we can successfully implement an one-loop linear seesaw mechanism with right-handed neutrinos, and vector-like fermions to nicely explain the active neutrino masses, and additionally reproduce the recent Muon g-2 result, in agreement with existing bounds.
description: Version published in Physics Letters B
Synthesis, Growth And Characterization Of Semi Organic Nonlinear Optical Single Crystals Of Sodium Dihydrogen Orthophosphate Hippurate
Creators: name: C. Sudhakar
name: L. Jothi
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.
Nucleon-nucleon interaction in the $^3S_1$-$^3D_1$ coupled channel for a pion mass of 469 MeV
Creators: name: Bai, Qian-Qian
name: Wang, Chun-Xuan
name: Xiao, Yang
name: Lu, Jun-Xu
name: Geng, Li-Sheng
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: In this work, we apply the relativistic chiral nuclear force to describe the state-of-the-art lattice simulations of the nucleon-nucleon scattering amplitude. In particular, we focus on the $^3S_1$-$^3D_1$ coupled channel for a pion mass of 469 MeV. We show that at leading order the relativistic chiral nuclear force can only describe $δ_{3S1}$ and $\varepsilon_1$ up to $T_\mathrm{lab.}\approx10$ MeV, while at the next-to-leading order it can do much better up to $T_\mathrm{lab}=200$ MeV. However, at the next-to-next-to-leading order, the description deteriorates, which can be attributed to the fact that the pion-mass dependence of the pion-nucleon couplings $c_{1,2,3,4}$ may not be negligible. Furthermore, all the studies consistently yield negative $δ_{3D1}$, contrary to the lattice QCD results which are positive but consistent with zero. The present study is relevant to a better understanding of the lattice QCD nucleon-nucleon force and more general baryon-baryon interactions.
description: Accepted for publication in PLB