cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
AI from concrete to abstract: demystifying artificial intelligence to the general public
Creators: name: Queiroz, Rubens Lacerda
name: Sampaio, Fábio Ferrentini
name: Lima, Cabral
name: Lima, Priscila Machado Vieira
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences
subject: K.4.0; K.3.0

description: Artificial Intelligence (AI) has been adopted in a wide range of domains. This shows the imperative need to develop means to endow common people with a minimum understanding of what AI means. Combining visual programming and WiSARD weightless artificial neural networks, this article presents a new methodology, AI from concrete to abstract (AIcon2abs), to enable general people (including children) to achieve this goal. The main strategy adopted by is to promote a demystification of artificial intelligence via practical activities related to the development of learning machines, as well as through the observation of their learning process. Thus, it is possible to provide subjects with skills that contributes to making them insightful actors in debates and decisions involving the adoption of artificial intelligence mechanisms. Currently, existing approaches to the teaching of basic AI concepts through programming treat machine intelligence as an external element/module. After being trained, that external module is coupled to the main application being developed by the learners. In the methodology herein presented, both training and classification tasks are blocks that compose the main program, just as the other programming constructs. As a beneficial side effect of AIcon2abs, the difference between a program capable of learning from data and a conventional computer program becomes more evident. In addition, the simplicity of the WiSARD weightless artificial neural network model enables easy visualization and understanding of training and classification tasks internal realization.
description: 23 pages; 2 tables; 47 figures; review comment: Included references for the final published peer-reviewed version of this pre-print: https://doi.org/10.1007/s00146-021-01151-x and https://rdcu.be/cihdO; typos corrected
Time Glass: A Fractional Calculus Approach
Creators: name: Verstraten, Robin C.
name: Ozela, Rodrigo F.
name: Smith, Cristiane Morais
Publisher: name: arXiv
Year: 2020
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Out of equilibrium states in glasses and crystals have been a major topic of research in condensed-matter physics for many years, and the idea of time crystals has triggered a flurry of new research. Here, we provide the first description for the recently conjectured Time Glasses using fractional calculus methods. An exactly solvable effective theory is introduced, with a continuous parameter describing the transition from liquid through normal glass, Time Glass, into the Gardner phase. The phenomenological description with a fractional Langevin equation is connected to a microscopic model of a particle in a sub-Ohmic bath in the framework of a generalized Caldeira-Leggett model.
description: Main text: 6 pages, 3 figures. SM: 10 pages, 4 figures
Acoustic plasmons and conducting carriers in hole-doped cuprate superconductors
Creators: name: Singh, A.
name: Huang, H. Y.
name: Lane, Christopher
name: Li, J. H.
name: Okamoto, J.
name: Komiya, S.
name: Markiewicz, Robert S.
name: Bansil, Arun
name: Fujimori, A.
name: Chen, C. T.
name: Huang, D. J.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The superconductivity of cuprates, which has been a mystery ever since its discovery decades ago, is created through doping electrons or holes into a Mott insulator. There, however, exists an inherent electron-hole asymmetry in cuprates. The layered crystal structures of cuprates enable collective charge excitations fundamentally different from those of three-dimensional metals, i.e., acoustic plasmons. Acoustic plasmons have been recently observed in electron-doped cuprates by resonant inelastic X-ray scattering (RIXS); in contrast, there is no evidence for acoustic plasmons in hole-doped cuprates, despite extensive measurements. This contrast led us to investigate whether the doped holes in cuprates La$_{2-x}$Sr$_x$CuO$_4$ are conducting carriers or are too incoherent to induce collective charge excitation. Here we present momentum-resolved RIXS measurements and calculations of collective charge response via the loss function to reconcile the aforementioned issues. Our results provide unprecedented spectroscopic evidence for the acoustic plasmons and long sought conducting p holes in hole-doped cuprates.
Eigenfunction asymptotics and spectral Rigidity of the ellipse
Creators: name: Hezari, Hamid
name: Zelditch, Steve
Publisher: name: arXiv
Year: 2020
Subjects: subject: Spectral Theory (math.SP)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: This paper is part of a series concerning the isospectral problem for an ellipse. In this paper, we study Cauchy data of eigenfunctions of the ellipse with Dirichlet or Neumann boundary conditions. Using many classical results on ellipse eigenfunctions, we determine the microlocal defect measures of the Cauchy data of the eigenfunctions. The ellipse has integrable billiards, i.e. the boundary phase space is foliated by invariant curves of the billiard map. We prove that, for any invariant curve $C$, there exists a sequence of eigenfunctions whose Cauchy data concentrates on $C$. We use this result to give a new proof that ellipses are infinitesimally spectrally rigid among $C^{\infty}$ domains with the symmetries of the ellipse.
Few-Shot Keyword Spotting With Prototypical Networks
Creators: name: Parnami, Archit
name: Lee, Minwoo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Recognizing a particular command or a keyword, keyword spotting has been widely used in many voice interfaces such as Amazon's Alexa and Google Home. In order to recognize a set of keywords, most of the recent deep learning based approaches use a neural network trained with a large number of samples to identify certain pre-defined keywords. This restricts the system from recognizing new, user-defined keywords. Therefore, we first formulate this problem as a few-shot keyword spotting and approach it using metric learning. To enable this research, we also synthesize and publish a Few-shot Google Speech Commands dataset. We then propose a solution to the few-shot keyword spotting problem using temporal and dilated convolutions on prototypical networks. Our comparative experimental results demonstrate keyword spotting of new keywords using just a small number of samples.
Geometric solitons in a $D$-homothetically deformed Kenmotsu manifold
Creators: name: Blaga, Adara M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 35C08, 35Q51, 53B05

description: We consider almost Riemann and almost Ricci solitons in a $D$-homothetically deformed Kenmotsu manifold having as potential vector field a gradient vector field, a solenoidal vector field or the Reeb vector field of the deformed structure, and explicitly obtain the Ricci and scalar curvatures for some cases. We also provide a lower bound for the Ricci curvature of the initial Kenmotsu manifold when the deformed manifold admits a gradient almost Riemann or almost Ricci soliton.
Misteri de la Vierge Marie déposé dans l'église de Prats-de-Mollo après la procession qui a eu lieu le 12 avril
Creators: name: Musée National Des Arts Et Traditions Populaires (Paris)
name: Centre D'ethnologie Française
Publisher: name: École des Hautes Études en Sciences Sociales; Institut  interdisciplinaire d'anthropologie du contemporain (Paris); Laboratoire d'anthropologie et d'histoire de l'institution de la culture (Paris)
Year: 2022

Abstract
Remarks on almost Riemann solitons with gradient or torse-forming vector field
Creators: name: Blaga, Adara M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 35Q51, 53B25, 53B50

description: We consider almost Riemann solitons $(V,λ)$ in a Riemannian manifold and underline their relation to almost Ricci solitons. When $V$ is of gradient type, using Bochner formula, we explicitly express the function $λ$ by means of the gradient vector field $V$ and illustrate the result with suitable examples. Moreover, we deduce some properties for the particular cases when the potential vector field of the soliton is solenoidal or torse-forming, with a special view towards curvature.
A Lagrangian Dual-based Theory-guided Deep Neural Network
Creators: name: Rong, Miao
name: Zhang, Dongxiao
name: Wang, Nanzhe
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: The theory-guided neural network (TgNN) is a kind of method which improves the effectiveness and efficiency of neural network architectures by incorporating scientific knowledge or physical information. Despite its great success, the theory-guided (deep) neural network possesses certain limits when maintaining a tradeoff between training data and domain knowledge during the training process. In this paper, the Lagrangian dual-based TgNN (TgNN-LD) is proposed to improve the effectiveness of TgNN. We convert the original loss function into a constrained form with fewer items, in which partial differential equations (PDEs), engineering controls (ECs), and expert knowledge (EK) are regarded as constraints, with one Lagrangian variable per constraint. These Lagrangian variables are incorporated to achieve an equitable tradeoff between observation data and corresponding constraints, in order to improve prediction accuracy, and conserve time and computational resources adjusted by an ad-hoc procedure. To investigate the performance of the proposed method, the original TgNN model with a set of optimized weight values adjusted by ad-hoc procedures is compared on a subsurface flow problem, with their L2 error, R square (R2), and computational time being analyzed. Experimental results demonstrate the superiority of the Lagrangian dual-based TgNN.
description: 12 pages, 10 figures
อิทธิพลของคุณค่าที่รับรู้ด้านคุณภาพ คุณค่าที่รับรู้ด้านราคา และคุณภาพการให้บริการต่อความพึงพอใจ ความเชื่อใจ ความผูกพัน และการบอกต่อของลูกค้าซื้อคอนโดมิเนียมมือสองผ่านบริษัท อสังหาริมทรัพย์แห่งหนึ่งในเขตกรุงเทพหมานคร
Creators: name: กิรตภัส มิตรวิจารณ์
Publisher: name: มหาวิทยาลัยรังสิต
Year: 2563
Subjects: คุณค่าที่รับรู้ด้านคุณภาพ, คุณค่าที่รับรู้ด้านราคา, คุณภาพการให้บริการ, ความพึงพอใจ, ความเชื่อใจ, ความผูกพัน, การบอกต่อ

description: วารสารรังสิตบัณฑิตศึกษาในกลุ่มธุรกิจและสังคมศาสตร์, 6, 2, หน้า 1-14
Tarski's Undefinability Theorem and Diagonal Lemma
Creators: name: Salehi, Saeed
Publisher: name: arXiv
Year: 2020
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics
subject: 03F40, 03A05, 03F30, 03C40

description: We prove the equivalence of the semantic version of Tarski's theorem on the undefinability of truth with a semantic version of the Diagonal Lemma, and also show the equivalence of syntactic Tarski's Undefinability Theorem with a weak syntactic diagonal lemma. We outline two seemingly diagonal-free proofs for these theorems from the literature, and show that syntactic Tarski's theorem can deliver Gödel-Rosser's Incompleteness Theorem.
description: 8 pages
การรับรู้ความสามารถในตนเอง การเสริมสร้างพลังอำนาจ และความสุขในการทำงานของบุคลากรสำนักงานหลักประกันสุขภาพแห่งชาติ
Creators: name: วันนิวัต เต็งสุวรรณ
Publisher: name: มหาวิทยาลัยรังสิต
Year: 2563
Subjects: การรับรู้ความสามารถในตนเอง, การเสริมสร้างพลังอำนาจ, ความสุขในการทำงาน, สำนักงานหลักประกันสุขภาพแห่งชาติ

description: วารสารรังสิตบัณฑิตศึกษาในกลุ่มธุรกิจและสังคมศาสตร์, 6, 2, หน้า 15-27
On the Truth of Gödelian and Rosserian Sentences
Creators: name: Assadi, Ziba
name: Salehi, Saeed
Publisher: name: arXiv
Year: 2020
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics
subject: 03F40

description: There is a longstanding debate in the logico-philosophical community as to why the Gödelian sentences of a consistent and sufficiently strong theory are true. The prevalent argument seems to be something like this: since every one of the Gödelian sentences of such a theory is equivalent to the theory's consistency statement, even provably so inside the theory, the truth of those sentences follows from the consistency of the theory in question. So, Gödelian sentences of consistent theories should be true. In this paper, we show that Gödelian sentences of only sound theories are true; and there is a long road from consistency to soundness, indeed a hierarchy of conditions which are satisfied by some theories and falsified by others. We also study the truth of Rosserian sentences and provide necessary and sufficient conditions for the truth of Rosserian (and also Gödelian) sentences of theories.
description: 10 pages
Remarks on Riemann and Ricci solitons in $(α,β)$-contact metric manifolds
Creators: name: Blaga, Adara M.
name: Latcu, Dan Radu
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: We study almost Riemann solitons and almost Ricci solitons in an $(α,β)$-contact metric manifold satisfying some Ricci symmetry conditions, treating the case when the potential vector field of the soliton is pointwise collinear with the structure vector field.
การจัดการความรู้ภูมิปัญญาท้องถิ่นด้านวัฒนธรรมอาหารพื้นบ้านภาคเหนือตอนบนของไทย
Creators: name: ณิชมน ภมร
Publisher: name: มหาวิทยาลัยรังสิต
Year: 2563
Subjects: การจัดการความรู้, ภูมิปัญญาท้องถิ่น, อาหารเหนือ

description: วารสารรังสิตบัณฑิตศึกษาในกลุ่มธุรกิจและสังคมศาสตร์, 6, 2, หน้า 28-44
Information-Theoretic Memory Scaling in the Many-Body Localization Transition
Creators: name: Nico-Katz, Alexander
name: Bayat, Abolfazl
name: Bose, Sougato
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: A key feature of the many-body localized phase is the breaking of ergodicity and consequently the emergence of local memory; revealed as the local preservation of information over time. As memory is necessarily a time dependent concept, it has been partially captured by a few extant studies of dynamical quantities. However, these quantities are neither optimal, nor democratic with respect to input state; and as such a fundamental and complete information theoretic understanding of local memory in the context of many-body localization remains elusive. We introduce the dynamical Holevo quantity as the true quantifier of local memory, outlining its advantages over other quantities such as the imbalance or entanglement entropy. We find clear scaling behavior in its steady-state across the many-body localization transition, and determine a family of two-parameter scaling ansätze which captures this behavior. We perform a comprehensive finite size scaling analysis of this dynamical quantity extracting the transition point and scaling exponents.
description: 8 pages, 4 figures, 1 table; added new section 2, other sections heavily revised, references added
Secure Calling Convention With Uninitialized Capabilities
Creators: name: Huyghebaert, Sander
Publisher: name: Zenodo
Year: 2020
Subjects: Capability Machines, Calling Conventions, CHERI

description: This thesis proposes a new kind of capability: uninitialized capabilities, a capability that cannot
 read uninitialized contents from memory, the capability must first be used to write something to a
 memory address before it can read from that address. An ISA extension for capability machines is
 proposed and instantiated for the CHERI capability machine. Uninitialized capabilities are then
 used for a secure calling convention, based on the novel calling convention by Skorstengaard et al.
 [13], but with the aim to reduce some of its overhead regarding clearing the stack. I modified the
 LLVM assembler to support uninitialized capabilities for the CHERI-MIPS processor and used
 the assembler then to manually modify some assembly programs to use the calling convention
 I propose in the thesis. The assembly programs are then evaluated for the original calling
 convention and the one proposed in this thesis. Finally, an exploration of the implementation
 for the calling convention is given for the CLang/LLVM compiler.
NatJEUSAL First Residential Training Seminar Murcia, 30, 31 May 2019 - The Role of National Judges in the Enforcement of EU State Aid Law
Creators: name: Cortese, Bernardo
name: Piernas López, Juan Jorge
Publisher: name: Zenodo
Year: 2019

description: NatJEUSAL First Residential Training Seminar - Murcia, 30, 31 May 2019
description: see also press releases on https://www.um.es/web/sala-prensa/-/un-grupo-de-docentes-de-la-universidad-de-murcia-formara-a-jueces-espanoles-e-irlandeses-en-derecho-de-la-union-europea and https://www.eldiario.es/murcia/educacion/universidad_publica/universidad-murcia-derecho-union-europea_1_1655350.html. §§§ NatJEUSAL action Funded by the European Commission – Dg Comp co-funded by the University of Padova Department for Public Law, International and EU Law -DiPIC Grant Agreement HT.5430.SI2.791660 Training of National Judges - Call for Proposals HT.5155
Periodic discretized continuous observables are neither continuous nor discrete
Creators: name: Silva, Thais L.
name: Rudnicki, Łukasz
name: Tasca, Daniel S.
name: Walborn, Stephen P.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Most of the fundamental characteristics of quantum mechanics, such as non-locality and contextuality, are manifest in discrete, finite-dimensional systems. However, many quantum information tasks that exploit these properties cannot be directly adapted to continuous-variable systems. To access these quantum features, continuous quantum variables can be made discrete by binning together their different values, resulting in observables with a finite number "$d$" of outcomes. While direct measurement indeed confirms their manifestly discrete character, here we employ a salient feature of quantum physics known as mutual unbiasedness to show that such coarse-grained observables are in a sense neither continuous nor discrete. Depending on $d$, the observables can reproduce either the discrete or the continuous behavior, or neither. To illustrate these results, we present an example for the construction of such measurements and employ it in an optical experiment confirming the existence of four mutually unbiased measurements with $d = 3$ outcomes in a continuous variable system, surpassing the number of mutually unbiased continuous variable observables.
ความเป็นมาทางประวัติศาสตร์และวัฒนธรรมล้านช้างกับความเป็นท้องถิ่นนิยมริมฝั่งโขงในภาคอีสานประเทศไทยตามแนวคิดรัฐประศาสนศาสตร์พลเมือง
Creators: name: วีรชาติ  ภักดี
Publisher: name: มหาวิทยาลัยรังสิต
Year: 2563
Subjects: ล้านช้าง, รัฐประศาสนศาสตร์พลเมือง, ท้องถิ่นนิยม

description: วารสารรังสิตบัณฑิตศึกษาในกลุ่มธุรกิจและสังคมศาสตร์, 6, 2, หน้า 45-62
LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying density
Creators: name: Taghribi, Abolfazl
name: Bunte, Kerstin
name: Smith, Rory
name: Shin, Jihye
name: Mastropietro, Michele
name: Peletier, Reynier F.
name: Tino, Peter
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: I.2.8; I.5.3

description: Dimensionality reduction and clustering are often used as preliminary steps for many complex machine learning tasks. The presence of noise and outliers can deteriorate the performance of such preprocessing and therefore impair the subsequent analysis tremendously. In manifold learning, several studies indicate solutions for removing background noise or noise close to the structure when the density is substantially higher than that exhibited by the noise. However, in many applications, including astronomical datasets, the density varies alongside manifolds that are buried in a noisy background. We propose a novel method to extract manifolds in the presence of noise based on the idea of Ant colony optimization. In contrast to the existing random walk solutions, our technique captures points that are locally aligned with major directions of the manifold. Moreover, we empirically show that the biologically inspired formulation of ant pheromone reinforces this behavior enabling it to recover multiple manifolds embedded in extremely noisy data clouds. The algorithm performance in comparison to state-of-the-art approaches for noise reduction in manifold detection and clustering is demonstrated, on several synthetic and real datasets, including an N-body simulation of a cosmological volume.
description: Accepted for publication by IEEE Transactions on Knowledge and Data Engineering
Statue de Vierge et deux personnages, en bois polychrome et en très mauvais état, dans une niche sur les murs des remparts
Creators: name: Musée National Des Arts Et Traditions Populaires (Paris)
name: Centre D'ethnologie Française
Publisher: name: École des Hautes Études en Sciences Sociales; Institut  interdisciplinaire d'anthropologie du contemporain (Paris); Laboratoire d'anthropologie et d'histoire de l'institution de la culture (Paris)
Year: 2022

Abstract
Distributed Computing in a Pandemic: A Review of Technologies Available for Tackling COVID-19
Creators: name: Alnasir, Jamie J
Publisher: name: arXiv
Year: 2020
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: The current COVID-19 global pandemic caused by the SARS-CoV-2 betacoronavirus has resulted in over a million deaths and is having a grave socio-economic impact, hence there is an urgency to find solutions to key research challenges. Much of this COVID-19 research depends on distributed computing. In this article, I review distributed architectures -- various types of clusters, grids and clouds -- that can be leveraged to perform these tasks at scale, at high-throughput, with a high degree of parallelism, and which can also be used to work collaboratively. High-performance computing (HPC) clusters will be used to carry out much of this work. Several bigdata processing tasks used in reducing the spread of SARS-CoV-2 require high-throughput approaches, and a variety of tools, which Hadoop and Spark offer, even using commodity hardware. Extremely large-scale COVID-19 research has also utilised some of the world's fastest supercomputers, such as IBM's SUMMIT -- for ensemble docking high-throughput screening against SARS-CoV-2 targets for drug-repurposing, and high-throughput gene analysis -- and Sentinel, an XPE-Cray based system used to explore natural products. Grid computing has facilitated the formation of the world's first Exascale grid computer. This has accelerated COVID-19 research in molecular dynamics simulations of SARS-CoV-2 spike protein interactions through massively-parallel computation and was performed with over 1 million volunteer computing devices using the Folding@home platform. Grids and clouds both can also be used for international collaboration by enabling access to important datasets and providing services that allow researchers to focus on research rather than on time-consuming data-management tasks.
description: 20 pages (14 excl. refs), 3 tables
The Lawson surfaces are determined by their symmetries and topology
Creators: name: Kapouleas, Nikolaos
name: Wiygul, David
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53A05

description: We prove that a closed embedded minimal surface in the round three-sphere which satisfies the symmetries of a Lawson surface and has the same genus is congruent to the Lawson surface.
description: 15 pages, no figures, with minor improvements
Dispersive $πK\to πK$ and $ππ\to K \bar{K}$ amplitudes from scattering data, threshold parameters and the lightest strange resonance $κ$ or $K^*_0(700)$
Creators: name: Peláez, J. R.
name: Rodas, A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Lattice (hep-lat)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We discuss the simultaneous dispersive analyses of $πK\to πK$ and $ππ\to K \bar{K}$ scattering data and the $κ/K^*_0(700)$ resonance. The unprecedented statistics of present and future Hadron Experiments, modern Lattice QCD calculations, and the wealth of new states and decays, require such precise and model-independent analyses to describe final state interactions. We review the existing and often conflicting data and explain in detail the derivation of the relevant dispersion relations, maximizing their applicability range. Next, we review and extend the caveats on some data, showing their inconsistency with dispersion relations. Our main result is the derivation and compilation of precise amplitude parameterizations constrained by several $πK\to πK$ and $ππ\to K \bar{K}$ dispersion relations. These constrained parameterizations are easily implementable and provide the rigor and accuracy needed for modern experimental and phenomenological Hadron Physics. As applications, after reviewing their status and interest, we will provide new precise threshold and subthreshold parameters and review our dispersive determination of the controversial $κ/K^*_0(700)$ resonance and other light-strange resonances.
description: 148 pages, 53 figures. Further clarifications, discussions and references added. Version published in Physics Reports
On the coverage of historical journals in Web of Science and Scopus
Creators: name: Mayhew, Kydra
name: Henkel, Maria
name: Krause, Geoff
name: Morrison, Lara
name: Svab, Courtney
name: Mongeon, Philippe
Publisher: name: Zenodo
Year: 2022

description: This study has provided insight into how historical publications in different languages and country of origin are represented in the two major databases. Our analysis also serves as way to show that major databases may not be the best tools to use for all disciplines of research. Further research could investigate historical publications at the article level, to determine if there are subject biases present in the historical publications accepted into major databases. Uncovering the biases found in published history research will show how historical narratives are created based on accessible information and support reducing bias in future historical research.
Origins of leakage currents on electrolyte-gated graphene field-effect transistors
Creators: name: Svetlova, A.
name: Kireev, D.
name: Mayer, D.
name: Offenhaeusser, A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Graphene field-effect transistors are widely used for development of biosensors. However, certain fundamental questions about details of their functioning are not fully understood yet. One of these questions is the presence of gate (leakage) currents in the electrolyte-gated configuration. Here, we report our observations considering causes of this phenomena on chemical vapor deposition (CVD) grown graphene. We observed that gate currents reflect currents that occur on the transistor surface similarly to a working electrode - counter electrode pair currents in an electrochemical cell. Gate currents are capacitive when the graphene channel is doped by holes and Faradaic when it is doped by electrons in field-effect measurements. The Faradaic current is attributed to a reduction of oxygen dissolved in the aqueous solution and its magnitude increases with each measurement. We employed cyclic voltammetry with a redox probe Fc(MeOH)2 to characterize changes of the graphene structure that are responsible for this activation. Collectively, our results reveal that through the course of catalytic oxygen reduction on the transistor's surface more defects appear.
การตั้งถิ่นฐานของคนเมืองใน ในจังหวัดสุราษฎร์ธานี
Creators: name: สุพัฒพงศ์ แย้มอิ่ม
Publisher: name: มหาวิทยาลัยรังสิต
Year: 2563
Subjects: การตั้งถิ่นฐาน, คนเมืองใน, อัตลักษณ์

description: วารสารรังสิตบัณฑิตศึกษาในกลุ่มธุรกิจและสังคมศาสตร์, 6, 2, หน้า 63-72
EXPLORING DEEP LEARNING METHODS IN TEACHER EDUCATION: FINDINGS FROM AN ACTION RESEARCH STUDY
Creators: name: Samuel, Alexander Brown
name: Olivia, Grace Mitchell
Publisher: name: ZAP Journal
Year: 2024
Subjects: Learning Approaches, Higher Education, Learning Environments, Student Intent, Educational Outcomes

description: Over the past two decades, significant research has aimed to address issues in higher education teaching and learning, particularly in response to the concerns raised by the Aulich report (1990). A key area of focus has been the enhancement of learning outcomes through modifications to learning environments, with the goal of influencing students' approaches to learning. Theoretical perspectives on learning approaches, as articulated by scholars such as Biggs (1987; 1993a; 1995), Entwistle (1997), and Ramsden (1992; 1994), suggest a strong correlation between the learning approach adopted by students and their learning outcomes. These theories propose that the approach to learning is influenced by students' intent and is significantly shaped by the learning environment. This paper reviews the impact of environmental modifications on students' learning approaches and outcomes, integrating insights from key researchers in the field to offer a comprehensive understanding of how learning contexts can affect educational success
Digital rock reconstruction with user-defined properties using conditional generative adversarial networks
Creators: name: Zheng, Qiang
name: Zhang, Dongxiao
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Uncertainty is ubiquitous with flow in subsurface rocks because of their inherent heterogeneity and lack of in-situ measurements. To complete uncertainty analysis in a multi-scale manner, it is a prerequisite to provide sufficient rock samples. Even though the advent of digital rock technology offers opportunities to reproduce rocks, it still cannot be utilized to provide massive samples due to its high cost, thus leading to the development of diversified mathematical methods. Among them, two-point statistics (TPS) and multi-point statistics (MPS) are commonly utilized, which feature incorporating low-order and high-order statistical information, respectively. Recently, generative adversarial networks (GANs) are becoming increasingly popular since they can reproduce training images with excellent visual and consequent geologic realism. However, standard GANs can only incorporate information from data, while leaving no interface for user-defined properties, and thus may limit the representativeness of reconstructed samples. In this study, we propose conditional GANs for digital rock reconstruction, aiming to reproduce samples not only similar to the real training data, but also satisfying user-specified properties. In fact, the proposed framework can realize the targets of MPS and TPS simultaneously by incorporating high-order information directly from rock images with the GANs scheme, while preserving low-order counterparts through conditioning. We conduct three reconstruction experiments, and the results demonstrate that rock type, rock porosity, and correlation length can be successfully conditioned to affect the reconstructed rock images. Furthermore, in contrast to existing GANs, the proposed conditioning enables learning of multiple rock types simultaneously, and thus invisibly saves computational cost.
description: 36 pages, 20 figures
Fermion Sampling: a robust quantum computational advantage scheme using fermionic linear optics and magic input states
Creators: name: Oszmaniec, Michał
name: Dangniam, Ninnat
name: Morales, Mauro E. S.
name: Zimborás, Zoltán
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Fermionic Linear Optics (FLO) is a restricted model of quantum computation which in its original form is known to be efficiently classically simulable. We show that, when initialized with suitable input states, FLO circuits can be used to demonstrate quantum computational advantage with strong hardness guarantees. Based on this, we propose a quantum advantage scheme which is a fermionic analogue of Boson Sampling: Fermion Sampling with magic input states. We consider in parallel two classes of circuits: particle-number conserving (passive) FLO and active FLO that preserves only fermionic parity and is closely related to Matchgate circuits introduced by Valiant. Mathematically, these classes of circuits can be understood as fermionic representations of the Lie groups $U(d)$ and $SO(2d)$. This observation allows us to prove our main technical results. We first show anticoncentration for probabilities in random FLO circuits of both kind. Moreover, we prove robust average-case hardness of computation of probabilities. To achieve this, we adapt the worst-to-average-case reduction based on Cayley transform, introduced recently by Movassagh, to representations of low-dimensional Lie groups. Taken together, these findings provide hardness guarantees comparable to the paradigm of Random Circuit Sampling. Importantly, our scheme has also a potential for experimental realization. Both passive and active FLO circuits are relevant for quantum chemistry and many-body physics and have been already implemented in proof-of-principle experiments with superconducting qubit architectures. Preparation of the desired quantum input states can be obtained by a simple quantum circuit acting independently on disjoint blocks of four qubits and using 3 entangling gates per block. We also argue that due to the structured nature of FLO circuits, they can be efficiently certified.
description: 65 pages, 13 figures, 1 table, v2: improved discussion and narrative, numerics about anticoncentration added, references updated, comments and suggestions are welcome
title: Огнестойкость легких стальных тонкостенных конструкций
title: монография
titleType: Subtitle
Creators: name: Гравит, Марина
name: Дмитриев, Иван
Publisher: name: ПОЛИТЕХ-ПРЕСС
Year: 2020

description: Монография представляет собой руководство по расчету огнестойкости легких стальных тонкостенных конструкций (ЛСТК) и каркасных конструкций на их основе в соответствии с основными требованиями СП 260.1325800.2016 «Конструкции стальные тонкостенные из холодно-гнутых оцинкованных профилей и гофрированных листов. Правила проектирования» и части EN 1993-1-2 норматива Eurocode 3 «Design of steel structures». Рассматриваются методы проектирования огнезащиты тонкостенных конструкций с применением современных специализированных средств огнезащиты. Представлены практические примеры расчета огнезащиты легких тонкостенных конструкций. Даны рекомендации и обоснования по применению программных комплексов при решении задач огнестойкости. Издание предназначено для студентов и аспирантов высших технических учебных заведений, инженеров-строителей, слушателей курсов профессиональной переподготовки.
Indicators for evaluating digital government strategies: a three-tiered framework
Creators: name: Carneiro, Ana Maria
name: Bin, Adriana
name: Spatti, Ana Carolina
name: da Silva Neto, Victo José
Publisher: name: Zenodo
Year: 2022

description: The three-tiered framework can be seen as a comprehensive approach. It includes Brazilian particularities but is comprehensive and feasible enough to be implemented in other contexts. Thus, we can rely on this framework as a useful policy tool to evaluate DGS outputs, outcomes and impacts to reach more efficient administration, improved services and equal participation for citizens. Despite a complete framework of DGS intended for outputs, outcomes and impacts, the causality attribution is not direct, especially for long-term impacts. Furthermore, the success of an outcome and impact indicator framework depends on its operationalization. Indicators should be monitored at least annually, and the information produced must be used in the policy cycle. Thus, it will be necessary to make an impact evaluation from time to time, preferably using an external team. Hence, the evaluation indicator framework for the monitoring process does not substitute an impact evaluation.
Annex C Information Sheet 1.07 Use Of Non-Contaminated Water
Creators: name: European Food Safety Authority Plant Health Panel
Publisher: name: Zenodo
Year: 2018
Subjects: subject: Pest control
subject: Pest management
subject: Quarantine
subject: Effectiveness
subject: http://id.agrisemantics.org/gacs/C587

description: Annex C Information sheet 1.07

Use of non-contaminated water

This information sheet is part of Annex C (Standardised checklist of risk reduction options) supporting document to the draft Guidance of the EFSA Plant Health Panel on quantitative pest risk assessment under public consultation (http://www.efsa.europa.eu/en/consultations/call/180212-0)

Chemical and physical treatment of water to eliminate waterborne microorganisms. The measures addressed in this information sheet are: chemical treatments (e.g. chlorine, chlorine dioxide, ozone) ; physical treatments (e.g. membrane filters, ultraviolet radiation, heat); ecological treatments (e.g. slow sand filtration).
description: Contact email: ALPHA@efsa.europa.eu
Segmentation and genome annotation algorithms
Creators: name: Libbrecht, Maxwell W
name: Chan, Rachel CW
name: Hoffman, Michael M
Publisher: name: arXiv
Year: 2021
Subjects: subject: Genomics (q-bio.GN)
subject: Machine Learning (cs.LG)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences

description: Segmentation and genome annotation (SAGA) algorithms are widely used to understand genome activity and gene regulation. These algorithms take as input epigenomic datasets, such as chromatin immunoprecipitation-sequencing (ChIP-seq) measurements of histone modifications or transcription factor binding. They partition the genome and assign a label to each segment such that positions with the same label exhibit similar patterns of input data. SAGA algorithms discover categories of activity such as promoters, enhancers, or parts of genes without prior knowledge of known genomic elements. In this sense, they generally act in an unsupervised fashion like clustering algorithms, but with the additional simultaneous function of segmenting the genome. Here, we review the common methodological framework that underlies these methods, review variants of and improvements upon this basic framework, catalogue existing large-scale reference annotations, and discuss the outlook for future work.
What do academic employers want from candidates? A multi-disciplinary research
Creators: name: Zhang, Guangyao
name: Geng, Yu
name: Wang, Lili
name: Wang, Xianwen
Publisher: name: Zenodo
Year: 2022

description: The academic job market has long been an important topic as it relates to the career progression of scientists and the advancement of science. However, what academic employers need and how the vacancies have changed are still widely unknown due to the lack of empirical evidence. In this paper, we aim to figure out what academic employers want from candidates. Using 87,610 academic job advertisements from jobs.sciencecareers.org between 2019 and 2022, this study analyzes the academic job opportunities in various disciplines have different needs for candidates. We investigate what are the new skills needed by employers.
The CESSDA Data Management Expert Guide
Creators: name: Braukmann, Ricarda
Publisher: name: Zenodo
Year: 2019
Subjects: CESSDA
Data management
Data sharing
Training resources
Open Science

description: Presentation on the CESSDA Data Management Expert Guide presented during the Open Science and Research Data Management Train-the-Trainer Bootcamp, organized by FOSTER, CESSDA, ELIXIR and DANS on 17 April 2019 in the Hague, The Netherlands. The bootcamp was for people supporting researchers in Open Science and Research Data Management (RDM) and looking for ways to make their training more effective. The event gave an overview of different European Open Science and RDM training and learning resources.
Testing CPT violation, entanglement and gravitational interactions in particle mixing with trapped ions
Creators: name: Capolupo, Antonio
name: Giampaolo, Salvatore Marco
name: Quaranta, Aniello
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences
subject: 81V17 (Primary), 81V25 (Secundary)

description: By analyzing the analogies between the effective system of $N$ spins described by the Ising Hamiltonian and the phenomenon of the self--gravity in mixed particle systems, we show that cooled ions held in a segmented ion trap and exposed to a magnetic field gradient can simulate the proposed mechanism of mutual interaction in mixed neutrino system. We show that with trapped ions one can reproduce the expected corrections to the flavor transitions and the $CPT$ violation induced by gravity on flavor fields, which may have played an important role in the early stages of the universe. The results presented are experimentally testable. They indicate that ions confined in microtraps can represent a new tool to test fundamental phenomena of nature.
description: 6 pages, 4 figures
A reliable model to measure geographical and technological distances impact on scientific collaboration
Creators: name: Bouabid, Hamid
Publisher: name: Zenodo
Year: 2022

description: As collaborative science has become of a great interest for either policy makers, research managers or scholars themselves, attention focus on major parameters influencing this collaboration such as ‘distance’ in its broad sense. Are political and economical regional alliances favouring scientific collaboration with respect to distance? This paper explores to which extent three distances: geographical, scientific (cognitive) and technological, impact scientific collaboration in the three big regional alliances: European Union, African Union and MERCOSUR (Latin America), by using a deterministic model based on the physical gravity principle. Applications are carried on three regions with different characteristics (political, economical, technological, age), over two time-periods. Our findings show that the European extension toward the east as the EU-28 alliance results in strengthening scientific collaboration by reducing the effect of both geographical, scientific and technologic distances. In spite of the growth recorded for the African Union, their effects on scientific collaboration is still significant than the EU and Latin America. As an implication of a regional policy, these applications shed light on the scientific collaboration maturity with respect to the politico-economic alliance.
The Sources of Statistical Bias Series: Simulated Demonstrations to Illustrate the Causes and Effects of Biases in Statistical Estimates
Creators: name: Silver, Ian A
Publisher: name: arXiv
Year: 2021
Subjects: subject: Methodology (stat.ME)
subject: Other Statistics (stat.OT)
subject: FOS: Computer and information sciences

description: When teaching and discussing statistical assumptions, our focus is oftentimes placed on how to test and address potential violations rather than the effects of violating assumptions on the estimates produced by our statistical models. The latter represents a potential avenue to help us better understand the impact of researcher degrees of freedom on the statistical estimates we produce. The Violating Assumptions Series is an endeavor I have undertaken to demonstrate the effects of violating assumptions on the estimates produced across various statistical models. The series will review assumptions associated with estimating causal associations, as well as more complicated statistical models including, but not limited to, multilevel models, path models, structural equation models, and Bayesian models. In addition to the primary goal, the series of posts is designed to illustrate how simulations can be used to develop a comprehensive understanding of applied statistics.
Alphonse Bergues, Claudie Marcel-Dubois et Marie-Marguerite Pichonnet-Andral pendant l'information
Creators: name: Musée National Des Arts Et Traditions Populaires (Paris)
name: Centre D'ethnologie Française
Publisher: name: École des Hautes Études en Sciences Sociales; Institut  interdisciplinaire d'anthropologie du contemporain (Paris); Laboratoire d'anthropologie et d'histoire de l'institution de la culture (Paris)
Year: 2022

Abstract
Modeling blood flow in networks of viscoelastic vessels with the 1-D augmented fluid-structure interaction system
Creators: name: Piccioli, Francesco
name: Bertaglia, Giulia
name: Valiani, Alessandro
name: Caleffi, Valerio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Numerical Analysis (math.NA)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: A noteworthy aspect in blood flow modeling is the definition of the mechanical interaction between the fluid flow and the biological structure that contains it, namely the vessel wall. It has been demonstrated that the addition of a viscous contribution to the mechanical characterization of vessels brings positive results when compared to in-vivo measurements. In this context, the numerical implementation of boundary conditions able to keep memory of the viscoelastic contribution of vessel walls assumes an important role, especially when dealing with large circulatory systems. In this work, viscoelasticity is taken into account in entire networks via the Standard Linear Solid Model. The implementation of the viscoelastic contribution at boundaries (inlet, outlet and junctions), is carried out considering the hyperbolic nature of the mathematical model. A non-linear system is established based on the definition of the Riemann Problem at junctions, characterized by rarefaction waves separated by contact discontinuities, among which the mass and the total energy are conserved. Basic junction tests are analyzed, such as a trivial 2-vessels junction, for both a generic artery and vein, and a simple 3-vessels junction, considering an aortic bifurcation scenario. The chosen asymptotic-preserving IMEX Runge-Kutta Finite Volume scheme is demonstrated to be second-order accurate in the whole domain and well-balanced, even when including junctions. Two different benchmark models of the arterial network are implemented, differing in number of vessels and in viscoelastic parameters. Comparison of the results obtained in the two networks underlines the high sensitivity of the model to the chosen viscoelastic parameters. The conservation of the contribution provided by the viscoelastic characterization of vessel walls is assessed in the whole network, including junctions and boundary conditions.
description: 42 pages, 19 figures