cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
On Design Mining: Coevolution and Surrogate Models
Creators: name: Preen, Richard J.
name: Bull, Larry
Publisher: name: arXiv
Year: 2015
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Artificial Intelligence (cs.AI)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Design mining is the use of computational intelligence techniques to iteratively search and model the attribute space of physical objects evaluated directly through rapid prototyping to meet given objectives. It enables the exploitation of novel materials and processes without formal models or complex simulation. In this paper, we focus upon the coevolutionary nature of the design process when it is decomposed into concurrent sub-design threads due to the overall complexity of the task. Using an abstract, tuneable model of coevolution we consider strategies to sample sub-thread designs for whole system testing and how best to construct and use surrogate models within the coevolutionary scenario. Drawing on our findings, the paper then describes the effective design of an array of six heterogeneous vertical-axis wind turbines.
Techniques for lossless image compression
Creators: name: Jenkins, Daniel R
Publisher: name: University of Nevada, Las Vegas
Year: 1997

description: Popular lossless image compression techniques used today belong to the Lempel-Ziv family of encoders. These techniques are generic in nature and do not take full advantage of the two-dimensional correlation of digital image data. They process a one-dimensional stream of data replacing repetitions with smaller codes. Techniques for Lossless Image Compression introduces a new model for lossless image compression that consists of two stages: transformation and encoDing Transformation takes advantage of the correlative properties of the data, modifying it in order to maximize the use of encoding techniques. Encoding can be described as replacing data symbols that occur frequently or in repeated groups with codes that are represented in a smaller number of bits. Techniques presented in this thesis include descriptions of Lempel-Ziv encoders in use today as well as several new techniques involving the model of transformation and encoding mentioned previously. Example compression ratios achieved by each technique when applied to a sample set of gray-scale cardiac images are provided for compariSon
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
Creators: name: McGrath, Sean
name: Mehta, Parth
name: Zytek, Alexandra
name: Lage, Isaac
name: Lakkaraju, Himabindu
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision making. For instance, communicating the uncertainty associated with model predictions could potentially be helpful in this regard. In this work, we carry out user studies (1,330 responses from 190 participants) to systematically assess how people with differing levels of expertise respond to different types of predictive uncertainty (i.e., posterior predictive distributions with different shapes and variances) in the context of ML assisted decision making for predicting apartment rental prices. We found that showing posterior predictive distributions led to smaller disagreements with the ML model's predictions, regardless of the shapes and variances of the posterior predictive distributions we considered, and that these effects may be sensitive to expertise in both ML and the domain. This suggests that posterior predictive distributions can potentially serve as useful decision aids which should be used with caution and take into account the type of distribution and the expertise of the human.
Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips
Creators: name: Nakamura, Tomohiko
name: Nakamura, Eita
name: Sagayama, Shigeki
Publisher: name: arXiv
Year: 2015
Subjects: subject: Sound (cs.SD)
subject: Machine Learning (cs.LG)
subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: This paper discusses real-time alignment of audio signals of music performance to the corresponding score (a.k.a. score following) which can handle tempo changes, errors and arbitrary repeats and/or skips (repeats/skips) in performances. This type of score following is particularly useful in automatic accompaniment for practices and rehearsals, where errors and repeats/skips are often made. Simple extensions of the algorithms previously proposed in the literature are not applicable in these situations for scores of practical length due to the problem of large computational complexity. To cope with this problem, we present two hidden Markov models of monophonic performance with errors and arbitrary repeats/skips, and derive efficient score-following algorithms with an assumption that the prior probability distributions of score positions before and after repeats/skips are independent from each other. We confirmed real-time operation of the algorithms with music scores of practical length (around 10000 notes) on a modern laptop and their tracking ability to the input performance within 0.7 s on average after repeats/skips in clarinet performance data. Further improvements and extension for polyphonic signals are also discussed.
description: 12 pages, 8 figures, version accepted in IEEE/ACM Transactions on Audio, Speech, and Language Processing
On realization of the original Weyl-Titchmarsh functions by Shrödinger L-systems
Creators: name: Belyi, Sergey
name: Tsekanovskii, Eduard
Publisher: name: arXiv
Year: 2020
Subjects: subject: Spectral Theory (math.SP)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 47A10 (Primary), 47N50, 81Q10 (Secondary)

description: We study realizations generated by the original Weyl-Titchmarsh functions $m_\infty(z)$ and $m_α(z)$. It is shown that the Herglotz-Nevanlinna functions $(-m_\infty(z))$ and $(1/m_\infty(z))$ can be realized as the impedance functions of the corresponding Shrödinger L-systems sharing the same main dissipative operator. These L-systems are presented explicitly and related to Dirichlet and Neumann boundary problems. Similar results but related to the mixed boundary problems are derived for the Herglotz-Nevanlinna functions $(-m_α(z))$ and $(1/m_α(z))$. We also obtain some additional properties of these realizations in the case when the minimal symmetric Shrödinger operator is non-negative. In addition to that we state and prove the uniqueness realization criteria for Shrödinger L-systems with equal boun\-dary parameters. A condition for two Shrödinger L-systems to share the same main operator is established as well. Examples that illustrate the obtained results are presented in the end of the paper.
description: 29 pages, 1 figure. arXiv admin note: text overlap with arXiv:1709.07370
Creation of Quantum-Degenerate Gases of Ytterbium in a Compact 2D-/3D-MOT Setup
Creators: name: Dörscher, Sören
name: Thobe, Alexander
name: Hundt, Bastian
name: Kochanke, André
name: Targat, Rodolphe Le
name: Windpassinger, Patrick
name: Becker, Christoph
name: Sengstock, Klaus
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We report on the first experimental setup based on a 2D-/3D-MOT scheme to create both Bose-Einstein condensates and degenerate Fermi gases of several ytterbium isotopes. Our setup does not require a Zeeman slower and offers the flexibility to simultaneously produce ultracold samples of other atomic species. Furthermore, the extraordinary optical access favors future experiments in optical lattices. A 2D-MOT on the strong 1S0-1P1 transition captures ytterbium directly from a dispenser of atoms and loads a 3D-MOT on the narrow 1S0-3P1 intercombination transition. Subsequently, atoms are transferred to a crossed optical dipole trap and cooled evaporatively to quantum degeneracy.
description: The following article has been submitted to Review of Scientific Instruments
Stability of syzygy bundles on abelian varieties
Creators: name: Caucci, Federico
name: Lahoz, Martí
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14J60, 14K05

description: We prove that the kernel of the evaluation morphism of global sections - namely the syzygy bundle - of a sufficiently ample line bundle on an abelian variety is stable. This settles a conjecture of Ein-Lazarsfeld-Mustopa, in the case of abelian varieties.
description: Final version. To appear in Bull. Lond. Math. Soc
Velocity width measurements of the coolest X-ray emitting material in the cores of clusters, groups and elliptical galaxies
Creators: name: Sanders, J. S.
name: Fabian, A. C.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We examine the velocity width of cool X-ray emitting material using XMM-Newton Reflection Grating Spectrometer (RGS) spectra of a sample of clusters and group of galaxies and elliptical galaxies. Improving on our previous analyses, we apply a spectral model which accounts for broadening due to the spatial extent of the source. With both conventional and Markov Chain Monte Carlo approaches we obtain limits, or in a few cases measurements, of the velocity broadening of the coolest X-ray material. In our sample, we include new observations targeting objects with compact, bright, line-rich cores. One of these, MACSJ2229.7-2755, gives a velocity limit of 280 km/s at the 90 per cent confidence level. Other systems with limits close to 300 km/s include A1835, NGC4261 and NGC4472. For more than a third of the targets we find limits better than 500 km/s. HCG62, NGC1399 and A3112 show evidence for ~400 km/s velocity broadening. For a smaller sample of objects, we use continuum-subtracted emission line surface brightness profiles to account for the spatial broadening. Although there are significant systematic errors associated with the technique (~150 km/s), we find broadening at the level of 280 to 500 km/s in A3112, NGC1399 and NGC4636.
description: 12 pages, 8 figures, accepted by MNRAS
An Effective Way of Characterizing the Quantum Nonlocality
Creators: name: Yang, Ma-Cheng
name: Li, Jun-Li
name: Qiao, Cong-Feng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Nonlocality is a distinctive feature of quantum theory, which has been extensively studied for decades. It is found that the uncertainty principle determines the nonlocality of quantum mechanics. Here we show that various degrees of nonlocalities in correlated system can be characterized by the generalized uncertainty principle, by which the complementarity is attributed to the mutual dependence of observables. Concrete examples for different kinds of non-classical phenomena pertaining to different orders of dependence are presented. We obtain the third order ``skewness nonlocality'', and find that the Bell nonlocality turns out to be merely the second order ``variance nonlocality'' and the forth order dependence contains the commutator squares, which hence is related to the quantum contextuality. More applications of the generalized uncertainty principle are expected.
description: 24 pages, 5 figures
In silico and in vitro evaluation of imatinib as an inhibitor for SARS-CoV-2
Creators: name: Mulgaonkar, Nirmitee
name: Wang, Haoqi
name: Mallawarachchi, Samavath
name: Růžek, Daniel
name: Martina, Byron
name: Fernando, Sandun
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biophysics
subject: Biochemistry
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: The rapid geographic expansion of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the infectious agent of Coronavirus Disease 2019 (COVID-19) pandemic, poses an immediate need for potent drugs. Enveloped viruses infect the host cell by cellular membrane fusion, a crucial mechanism required for virus replication. The SARS-CoV-2 spike glycoprotein, due to its primary interaction with the human angiotensin-converting enzyme 2 (ACE2) cell-surface receptor, is considered a potential target for drug development. In this study, around 5,800 molecules were virtually screened using molecular docking. Five molecules were selected for in vitro experiments from those that reported docking scores lower than −6 kcal/mol. Imatinib, a Bcr-Abl tyrosine kinase inhibitor, showed maximum antiviral activity in Vero cells. We further investigated the interaction of imatinib, a compound under clinical trials for the treatment of COVID-19, with SARS-CoV-2 RBD, using in silico methods. Molecular dynamics simulations verified that imatinib interacts with RBD residues that are critical for ACE2 binding. This study also provides significant molecular insights on potential repurposable small-molecule drugs and chemical scaffolds for the development of novel drugs targeting the SARS-CoV-2 spike RBD. Communicated by Ramaswamy H. Sarma
Inclusion of a perfect fluid term into the Einstein-Hilbert action
Creators: name: Minguzzi, E.
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: I introduce a method to obtain the stress-energy tensor of the perfect fluid by adding a suitable term to the Einstein-Hilbert action. Variation should be understood with respect to the metric.
description: 8 pages. v2: improved choice of variables, added several references
PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities
Creators: name: Mirone, Alessandro
name: Gouillart, Emmanuelle
name: Brun, Emmanuel
name: Tafforeau, Paul
name: Kieffer, Jerome
Publisher: name: arXiv
Year: 2013
Subjects: subject: Numerical Analysis (math.NA)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We present the PyHST2 code which is in service at ESRF for phase-contrast and absorption tomography. This code has been engineered to sustain the high data flow typical of the third generation synchrotron facilities (10 terabytes per experiment) by adopting a distributed and pipelined architecture. The code implements, beside a default filtered backprojection reconstruction, iterative reconstruction techniques with a-priori knowledge. These latter are used to improve the reconstruction quality or in order to reduce the required data volume and reach a given quality goal. The implemented a-priori knowledge techniques are based on the total variation penalisation and a new recently found convex functional which is based on overlapping patches. We give details of the different methods and their implementations while the code is distributed under free license. We provide methods for estimating, in the absence of ground-truth data, the optimal parameters values for a-priori techniques.
title: Gli studi sui generi auto-biografici e memorialistici in Russia
Creators: name: Criveller, Claudia
Publisher: name: AvtobiografiЯ
Year: 2012

description: The present study aims at providing an overview on the contribution of Russian scholars to the evolution of ‘Life-Writing’ studies. The importance of the formalists’ studies on auto-biography and memoirs (although fragmentary) and the Soviet studies on the ‘dokumentalnaia proza’ are described, as well as the works generated in post-Soviet times both in Russia and abroad. The paper deals with the main problems that remain open, especially the relationship between reality and fiction and the genre question.
Virtual screening of small natural compounds against NS1 protein of DENV, YFV and ZIKV
Creators: name: de Lima Menezes, Gabriela
name: Saivish, Marielena Vogel
name: Nogueira, Maurício Lacerda
name: da Silva, Roosevelt Alves
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Biochemistry
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Diseases caused by viruses of the genus Flavivirus are among the main diseases that affect the world and they are a serious public health problem. Three of them stand out: Dengue, Yellow fever and Zika viruses. The non-structural protein 1 (NS1), encoded by this viral genus, in its dimeric form, plays important roles in the pathogenesis and RNA replication of these viruses. Therefore, the identification of chemicals with the potential to inhibit the formation of the NS1 protein dimer of DENV, YFV and ZIKV would enable them to act as a multi-target drug. For this, we selected conformations of the NS1 protein monomer with similar β-roll domain structure among the three virus species from conformations obtained from molecular dynamics simulations performed in GROMACS in 5 replicates of 150 ns for each species. After selecting the protein structures, a virtual screening of compounds from the natural products catalog of the ZINC database was performed using AutoDock Vina. The 100 best compounds were classified according efficiency criteria. Two compounds were observed in common to the species, with energy scores ranging from −9.2 kcal/mol to −10.1 kcal/mol. The results obtained here demonstrate the high similarity of NS1 proteins in the Flavivirus genus and high affinity for the same compounds; thus justifying the potential of these small molecules act in multitarget therapy. Communicated by Ramaswamy H. Sarma
Automated measurements of diffuse interstellar bands in early-type star spectra Correlations with the Color Excess
Creators: name: Puspitarini, Lucky
name: Lallement, Rosine
name: Chen, Hui-Chen
Publisher: name: arXiv
Year: 2013
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Stellar spectroscopic surveys may bring useful statistical information on the links between Diffuse Interstellar Bands (DIBs) and interstellar environment. DIB databases can also be used as a complementary tool for locating interstellar (IS) clouds. Our goal is to develop fully automated methods of DIB measurements to be applied to extensive data from stellar surveys. We present a method appropriate for early-type nearby stars, its application to high-resolution spectra of 130 targets recorded with ESO FEROS spectrograph, and comparisons with other determinations. Using a DIB average profile deduced from the most reddened stars, we performed an automated fitting of a combination of a smooth stellar continuum, the DIB profile, and, when necessary, a synthetic telluric transmission. Measurements are presented for 16 DIBs in the optical domain that could be extracted automatically: 4726.8, 4762.6, 4963.9, 5780.4, 5797.1, 5849.8, 6089.8, 6196.0, 6203.0-6204.5, 6269.8, 6283.8, 6379.3, 6445.3, 6613.6, 6660.7, and 6699.3 Å.
description: (A&A accepted)
The original Weyl-Titchmarsh functions and sectorial Shrödinger L-systems
Creators: name: Belyi, Sergey
name: Tsekanovskii, Eduard
Publisher: name: arXiv
Year: 2020
Subjects: subject: Spectral Theory (math.SP)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 47A10 (Primary), 47N50, 81Q10 (Secondary)

description: In this paper we study the L-system realizations generated by the original Weyl-Titchmarsh functions $m_α(z)$ in the case when the minimal symmetric Shrö\-dinger operator in $L_2[\ell,+\infty)$ is non-negative. We realize functions $(-m_α(z))$ as impe\-dance functions of Shrödinger L-systems and derive necessary and sufficient conditions for $(-m_α(z))$ to fall into sectorial classes $S^{β_1,β_2}$ of Stieltjes functions. Moreover, it is shown that the knowledge of the value $m_\infty(-0)$ and parameter $α$ allows us to describe the geometric structure of the L-system that realizes $(-m_α(z))$. Conditions when the main and state space operators of the L-system realizing $(-m_α(z))$ have the same or not angle of sectoriality are presented in terms of the parameter $α$. Example that illustrates the obtained results is presented in the end of the paper.
description: 16 pages, 2 figures. arXiv admin note: substantial text overlap with arXiv:2006.13045, arXiv:1709.07370
Design Mining Microbial Fuel Cell Cascades
Creators: name: Preen, Richard J.
name: You, Jiseon
name: Bull, Larry
name: Ieropoulos, Ioannis A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Microbial fuel cells (MFCs) perform wastewater treatment and electricity production through the conversion of organic matter using microorganisms. For practical applications, it has been suggested that greater efficiency can be achieved by arranging multiple MFC units into physical stacks in a cascade with feedstock flowing sequentially between units. In this paper, we investigate the use of computational intelligence to physically explore and optimise (potentially) heterogeneous MFC designs in a cascade, i.e. without simulation. Conductive structures are 3-D printed and inserted into the anodic chamber of each MFC unit, augmenting a carbon fibre veil anode and affecting the hydrodynamics, including the feedstock volume and hydraulic retention time, as well as providing unique habitats for microbial colonisation. We show that it is possible to use design mining to identify new conductive inserts that increase both the cascade power output and power density.
Discovery of Methyl Acetate and Gauche Ethyl Formate in Orion
Creators: name: Tercero, B.
name: Kleiner, I.
name: Cernicharo, J.
name: Nguyen, H. V. L.
name: López, A.
name: Caro, G. M. Muñoz
Publisher: name: arXiv
Year: 2013
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We report on the discovery of methyl acetate, CH3COOCH3, through the detection of a large number of rotational lines from each one of the spin states of the molecule: AA species (A1 or A2), EA species (E1), AE species (E2), EE species (E3 or E4). We also report the detection, for the first time in space, of the $gauche$ conformer of ethyl formate, CH3CH2OCOH, in the same source. The trans conformer is also detected for the first time outside the galactic center source SgrB2. From the derived velocity of the emission of methyl acetate we conclude that it arises mainly from the compact ridge region with a total column density of (4.2+-0.5)E15 cm(-2). The derived rotational temperature is 150 K. The column density for each conformer of ethyl formate, trans and gauche, is (4.5+-1.0)E14 cm(-2). Their abundance ratio indicates a kinetic temperature of 135 K for the emitting gas and suggests that gas phase reactions could participate efficiently in the formation of both conformers in addition to cold ice mantle reactions on the surface of dust grains.
description: Accepted for publication in ApJL
Solving the single-track train scheduling problem via Deep Reinforcement Learning
Creators: name: Agasucci, Valerio
name: Grani, Giorgio
name: Lamorgese, Leonardo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: I.2.8
subject: 90B36

description: Every day, railways experience disturbances and disruptions, both on the network and the fleet side, that affect the stability of rail traffic. Induced delays propagate through the network, which leads to a mismatch in demand and offer for goods and passengers, and, in turn, to a loss in service quality. In these cases, it is the duty of human traffic controllers, the so-called dispatchers, to do their best to minimize the impact on traffic. However, dispatchers inevitably have a limited depth of perception of the knock-on effect of their decisions, particularly how they affect areas of the network that are outside their direct control. In recent years, much work in Decision Science has been devoted to developing methods to solve the problem automatically and support the dispatchers in this challenging task. This paper investigates Machine Learning-based methods for tackling this problem, proposing two different Deep Q-Learning methods(Decentralized and Centralized). Numerical results show the superiority of these techniques with respect to the classical linear Q-Learning based on matrices. Moreover, the Centralized approach is compared with a MILP formulation showing interesting results. The experiments are inspired by data provided by a U.S. Class 1 railroad.
description: Graph neural network added. Comparison with other methods added. 24 pages, 5 figures (1 b&w)
title: L’autobiografia su commissione: definizione e limiti di un genere
Creators: name: Deotto, Patrizia
Publisher: name: AvtobiografiЯ
Year: 2012

description: Commissioned autobiography is an autobiographical genre that is very popular in Russia. Under this definition I include the autobiographical notes that accompany a literary work of a writer or a poet, or which is included in a collection of autobiographies of various authors. In my article, I try to define the main differences between autobiography and commissioned autobiography, which in my opinion is caused by the different motivation that inspire these texts, and on the limits imposed by the situation of the commission. The analysis focuses on the commissioned autobiographies by Artem Vesely, Sergey Auslender, and Veniamin Kaverin included in the volume by Vladimir Lidin entitled Pisateli. Avtobiografii i portrety sovremennykh russkikh pisatelei, Moscow 1928.
title: Французский язык как средство самоизображения: неизданный путевой дневник Анастасии Семеновны Хлюстиной (в замужестве Сиркур)
Creators: name: Grechanaia, Elena
Publisher: name: AvtobiografiЯ
Year: 2012

description: The unpublished travel diary of Anastasiia Semenovna Khliustina (1808-1863, married name Countess de Circourt) which she composed in the years from 1827-1830, shows the need for humour and for artistic transfiguration of the autobiographical text. Khliustina continues the tradition of epistolary diaries, combines the French aristocratic culture components (conversation model, hilarity, joking register) and the ‘sincerity’, which is created by means of introspective passages. This introspection is based largely on the works of the French romantic writers, including Chateaubriand, Lamartine, Germaine de Staël. Madame de Staël is a key figure for the self-representation in the author’s diary. Khliustina at the same time joins the opinion of her male entourage, who does not accept women’s excessive ambition, and asserts ‘the dignity of women’, while maintaining the opinion that the French woman writer is an original creative person.
Mapping Gauged Q-Balls
Creators: name: Heeck, Julian
name: Rajaraman, Arvind
name: Riley, Rebecca
name: Verhaaren, Christopher B.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Scalar field theories with particular U(1)-symmetric potentials contain non-topological soliton solutions called Q-balls. Promoting the U(1) to a gauge symmetry leads to the more complicated situation of gauged Q-balls. The soliton solutions to the resulting set of nonlinear differential equations have markedly different properties, such as a maximal possible size and charge. Despite these differences, we discover a relation that allows one to extract the properties of gauged Q-balls (such as the radius, charge, and energy) from the more easily obtained properties of global Q-balls. These results provide a new guide to understanding gauged Q-balls as well as providing simple and accurate analytical characterization of the Q-ball properties.
description: 19 pages, 6 figures; v2: matches published version. v3: fixed typo in Eq.(3). v4: fixed typos in Fig. 4
Quantum Hall Effect in Hydrogenated Graphene
Creators: name: Guillemette, J.
name: Sabri, S. S.
name: Wu, B.
name: Bennaceur, K.
name: Gaskell, P. E.
name: Savard, M.
name: Lévesque, P. L.
name: Mahvash, F.
name: Guermoune, A.
name: Siaj, M.
name: Martel, R.
name: Szkopek, T.
name: Gervais, G.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The quantum Hall effect is observed in a two-dimensional electron gas formed in millimeter-scale hydrogenated graphene, with a mobility less than 10 $\mathrm{cm^{2}/V\cdot s}$ and corresponding Ioffe-Regel disorder parameter $(k_{F}λ)^{-1}\gg1$. In zero magnetic field and low temperatures, the hydrogenated graphene is insulating with a two-point resistance of order of $250 h/e^2$. Application of a strong magnetic field generates a negative colossal magnetoresistance, with the two-point resistance saturating within 0.5% of $h/2e^{2}$ at 45T. Our observations are consistent with the opening of an impurity-induced gap in the density of states of graphene. The interplay between electron localization by defect scattering and magnetic confinement in two-dimensional atomic crystals is discussed.
description: 4 pages, 4 figures + supplemental info
title: Archäologische Informationen, Vol 17, No 1 (1994)
Creators: name: DGUF E.V.
Publisher: name: University Library Heidelberg
Year: 2015

description: Archäologie in Medien und Öffentlichkeit
description: Titel
 Vorwort
 Inhalt
 Archäologie und deutsche Öffentlichkeit...15-24
 Vermittlung von Archäologie im Roman - Anmerkungen und Erfahrungen einer Kinder- und Jugendbuchautorin...25-29
 Archäologie im Spannungsfeld zwischen staatlichen Institutionen und privaten Initiativen...31-37
 Für Spitzenleistungen und Qualität in der Lehre. Eine Erwiderung zur jüngsten Studienreformdebatte...39-41
 Kommentare zu "Kontinuietät oder Diskontinuietät? Zur Frage einer bandkeramischen Landnahme im südlichen Mitteleuropa" von Andreas Tillmann...43-47
 Kommentare zu "Kontinuietät oder Diskontinuietät? Zur Frage einer bandkeramischen Landnahme im südlichen Mitteleuropa" von Andreas Tillmann...50-52
 Kommentare zu "Kontinuietät oder Diskontinuietät? Zur Frage einer bandkeramischen Landnahme im südlichen Mitteleuropa" von Andreas Tillmann...55-58
 Kommentare zu "Kontinuietät oder Diskontinuietät? Zur Frage einer bandkeramischen Landnahme im südlichen Mitteleuropa" von Andreas Tillmann...58-61
 Kommentare zu "Kontinuietät oder Diskontinuietät? Zur Frage einer bandkeramischen Landnahme im südlichen Mitteleuropa" von Andreas Tillmann...63-64
 Geplante Abschlagformen und Zielabschläge im Alt- und Mittelpaläolithikum...85-99
 Archäologische Talauenforschung im Rheinischen Braunkohlenrevier...101-111
 Ergebnisse einer Umfrage zur Beschäftigungslage von Absolventen des Studiums der Ur- bzw. Vor- und Frühgeschichte sowie verwandter Fächer...123-126
 Bericht über die RATS!-Konferenz 1994. Binghampton University, SUNY, Department of Anthropology, in Binghampton (U.S.A.), 18.-20. März 1994...127-129
 "Keramik zwischen den Epochen". Kolloquium der Archäologischen Arbeitsgemeinschaften der Schweiz...133-134
 Die urnenfelderzeitlichen Ösenknöpfe vom Typ Dixenhausen...145-146
 Untersuchungen zu Sozialstrukturen und Geschlechterrollen am frühbronzezeitlichen Gräberfeld von Singen...147-148
 Jahrestagungen / Europäisches FORUM der Altertums- und Denkmalschutzvereine. European FORUM of Heritage Association / Archäologische Berichte / Adressen der DGUF Vorstandsmitglieder...149-152
 Die Redaktion bittet bei der Zusendung von Manuskripten folgende Hinweise zu beachten:...153
 Kommentare zu "Kontinuietät oder Diskontinuietät? Zur Frage einer bandkeramischen Landnahme im südlichen Mitteleuropa" von Andreas Tillmann...52-54
 Das Verhältnis von Archäologie und Film...9-13
Graph Embedding with Data Uncertainty
Creators: name: Laakom, Firas
name: Raitoharju, Jenni
name: Passalis, Nikolaos
name: Iosifidis, Alexandros
name: Gabbouj, Moncef
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Spectral Theory (math.SP)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: spectral-based subspace learning is a common data preprocessing step in many machine learning pipelines. The main aim is to learn a meaningful low dimensional embedding of the data. However, most subspace learning methods do not take into consideration possible measurement inaccuracies or artifacts that can lead to data with high uncertainty. Thus, learning directly from raw data can be misleading and can negatively impact the accuracy. In this paper, we propose to model artifacts in training data using probability distributions; each data point is represented by a Gaussian distribution centered at the original data point and having a variance modeling its uncertainty. We reformulate the Graph Embedding framework to make it suitable for learning from distributions and we study as special cases the Linear Discriminant Analysis and the Marginal Fisher Analysis techniques. Furthermore, we propose two schemes for modeling data uncertainty based on pair-wise distances in an unsupervised and a supervised contexts.
description: 20 pages, 4 figures
Reduced Loop Quantization with four Klein-Gordon Scalar Fields as Reference Matter
Creators: name: Giesel, Kristina
name: Vetter, Almut
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We perform a reduced phase space quantization of gravity using four Klein-Gordon scalar fields as reference matter as an alternative to the Brown-Kuchar dust model in [1], where dust scalar fields are used. We compare our results to an earlier model by Domagala et. al. [2] where only one Klein-Gordon scalar field is considered as reference matter for the Hamiltonian constraint but the spatial diffeomorphism constraints are quantized using Dirac quantization. As a result we find that the choice of four conventional Klein-Gordon scalar fields as reference matter leads to a reduced dynamical model that cannot be quantized using loop quantum gravity techniques. However, we further discuss a slight generalization of the action for the four Klein-Gordon scalar fields and show that this leads to a model which can be quantized in the framework of loop quantum gravity. By comparison of the physical Hamiltonian operators obtained from the model by Domagala et. al. [2] and the one introduced in this work we are able to make a first step towards comparing Dirac and reduced phase space quantization in the context of the spatial diffeomorphism constraints.
description: 52 pages, 5 figures, journal version, accepted by Classical and Quantum Gravity
title: Hermann Ament: Fränkische Adelsgräber von Flonheim in Rheinhessen. Berlin 1970
Creators: name: Hübener, Wolfgang
Publisher: name: University Library Heidelberg
Year: 2015

description: Rezension zu: Hermann Ament: Fränkische Adelsgräber von Flonheim in Rheinhessen. Römisch-Germanische Kommission des Deutschen Archäologischen Institutes u. Rheinisches Landesmuseum Bonn. Germanische Denkmäler der Völkerwanderungszeit, Serie B: Die fränkischen Altertümer des Rheinlandes, Band 5. Verlag Gebr. Mann, Berlin 1970. 199 Seiten, 21 Abbildungen, 43 Tafeln, 2 Beilagen.
Flux growth and physical properties of Mo3Sb7 single crystals
Creators: name: Yan, J. -Q.
name: McGuire, M. A.
name: May, A. F.
name: Cao, H.
name: Christianson, A. D.
name: Mandrus, D. G.
name: Sales, B. C.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Millimeter sized single crystals of Mo3Sb7 are grown using the self-flux technique and a thorough characterization of their structural, magnetic, thermal and transport properties is reported. The structure parameters for the high-temperature cubic phase and the low-temperature tetragonal phase were, for the first time, determined with neutron single crystal diffraction. Both X-ray powder diffraction and neutron single crystal diffraction at room temperature confirmed that Mo3Sb7 crystallizes in Ir3Ge7-type cubic structure with space group Im-3m. The cubic-tetragonal structure transition at 53K is verified by the peak splitting of (4 0 0) reflection observed by X-ray single crystal diffraction and the dramatic intensity change of (12 0 0) peak observed by neutron single crystal diffraction. The structural transition is accompanied by a sharp drop in magnetic susceptibility, electrical resistivity, and thermopower while cooling. A weak lambda anomaly was also observed around 53K in the temperature dependence of specific heat and the entropy change across the transition is estimated to be 1.80J/molMoK. The temperature dependence of magnetic susceptibility was measured up to 750K and it follows a Curie-Weiss behavior above room temperature. Analysis of the low-temperature magnetic susceptibility suggests a spin gap of 110K around 53K. A typical phonon thermal conductivity was observed in the low temperature tetragonal phase. A glassy phonon thermal conductivity above 53K suggests a structural instability in a wide temperature range. Superconductivity was observed at 2.35K in the as-grown crystals and the dimensionless specific heat jump was determined to be 1.49, which is slightly larger than the BCS value of 1.43 for the weak-coupling limit.
description: 9 pages, 10 figures, accepted for publication in Phys. Rev. B
Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data
Creators: name: Parra, Lucas C.
name: Haufe, Stefan
name: Dmochowski, Jacek P.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: How does one find dimensions in multivariate data that are reliably expressed across repetitions? For example, in a brain imaging study one may want to identify combinations of neural signals that are reliably expressed across multiple trials or subjects. For a behavioral assessment with multiple ratings, one may want to identify an aggregate score that is reliably reproduced across raters. Correlated Components Analysis (CorrCA) addresses this problem by identifying components that are maximally correlated between repetitions (e.g. trials, subjects, raters). Here we formalize this as the maximization of the ratio of between-repetition to within-repetition covariance. We show that this criterion maximizes repeat-reliability, defined as mean over variance across repeats, and that it leads to CorrCA or to multi-set Canonical Correlation Analysis, depending on the constraints. Surprisingly, we also find that CorrCA is equivalent to Linear Discriminant Analysis for zero-mean signals, which provides an unexpected link between classic concepts of multivariate analysis. We present an exact parametric test of statistical significance based on the F-statistic for normally distributed independent samples, and present and validate shuffle statistics for the case of dependent samples. Regularization and extension to non-linear mappings using kernels are also presented. The algorithms are demonstrated on a series of data analysis applications, and we provide all code and data required to reproduce the results.
In silico and in vitro evaluation of imatinib as an inhibitor for SARS-CoV-2
Creators: name: Mulgaonkar, Nirmitee
name: Wang, Haoqi
name: Mallawarachchi, Samavath
name: Růžek, Daniel
name: Martina, Byron
name: Fernando, Sandun
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Biochemistry
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: The rapid geographic expansion of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the infectious agent of Coronavirus Disease 2019 (COVID-19) pandemic, poses an immediate need for potent drugs. Enveloped viruses infect the host cell by cellular membrane fusion, a crucial mechanism required for virus replication. The SARS-CoV-2 spike glycoprotein, due to its primary interaction with the human angiotensin-converting enzyme 2 (ACE2) cell-surface receptor, is considered a potential target for drug development. In this study, around 5,800 molecules were virtually screened using molecular docking. Five molecules were selected for in vitro experiments from those that reported docking scores lower than −6 kcal/mol. Imatinib, a Bcr-Abl tyrosine kinase inhibitor, showed maximum antiviral activity in Vero cells. We further investigated the interaction of imatinib, a compound under clinical trials for the treatment of COVID-19, with SARS-CoV-2 RBD, using in silico methods. Molecular dynamics simulations verified that imatinib interacts with RBD residues that are critical for ACE2 binding. This study also provides significant molecular insights on potential repurposable small-molecule drugs and chemical scaffolds for the development of novel drugs targeting the SARS-CoV-2 spike RBD. Communicated by Ramaswamy H. Sarma
New Identification of Metallic Phases of In Atomic layers on Si(111) Surfaces
Creators: name: Uchida, Kazuyuki
name: Oshiyama, Atsushi
Publisher: name: arXiv
Year: 2012
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report first-principles calculations that clarify atomic structures and coverage of the metallic phases of In overlayers on Si (111) surfaces. Calculated energy bands and scanning tunneling microscopy images along with the obtained energetics of various phases reveal that the two metallic phases with the $\sqrt{7} \times \sqrt{3}$ periodicity observed experimentally are single and double In overlayers, as opposed to prevailing assignments.
Abelian networks IV. Dynamics of nonhalting networks
Creators: name: Chan, Swee Hong
name: Levine, Lionel
Publisher: name: arXiv
Year: 2018
Subjects: subject: Formal Languages and Automata Theory (cs.FL)
subject: Combinatorics (math.CO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 05C25, 20K01, 20M14, 20M35, 37B15, 37E15

description: An abelian network is a collection of communicating automata whose state transitions and message passing each satisfy a local commutativity condition. This paper is a continuation of the abelian networks series of Bond and Levine (2016), for which we extend the theory of abelian networks that halt on all inputs to networks that can run forever. A nonhalting abelian network can be realized as a discrete dynamical system in many different ways, depending on the update order. We show that certain features of the dynamics, such as minimal period length, have intrinsic definitions that do not require specifying an update order. We give an intrinsic definition of the \emph{torsion group} of a finite irreducible (halting or nonhalting) abelian network, and show that it coincides with the critical group of Bond and Levine (2016) if the network is halting. We show that the torsion group acts freely on the set of invertible recurrent components of the trajectory digraph, and identify when this action is transitive. This perspective leads to new results even in the classical case of sinkless rotor networks (deterministic analogues of random walks). In Holroyd et. al (2008) it was shown that the recurrent configurations of a sinkless rotor network with just one chip are precisely the unicycles (spanning subgraphs with a unique oriented cycle, with the chip on the cycle). We generalize this result to abelian mobile agent networks with any number of chips. We give formulas for generating series such as \[ \sum_{n \geq 1} r_n z^n = \det (\frac{1}{1-z}D - A ) \] where $r_n$ is the number of recurrent chip-and-rotor configurations with $n$ chips; $D$ is the diagonal matrix of outdegrees, and $A$ is the adjacency matrix. A consequence is that the sequence $(r_n)_{n \geq 1}$ completely determines the spectrum of the simple random walk on the network.
description: 97 pages, 21 figures, to appear in Mem. Amer. Math. Soc
The Differential Entropy of Mixtures: New Bounds and Applications
Creators: name: Melbourne, James
name: Talukdar, Saurav
name: Bhaban, Shreyas
name: Madiman, Mokshay
name: Salapaka, Murti V.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Information Theory (cs.IT)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Mixture distributions are extensively used as a modeling tool in diverse areas from machine learning to communications engineering to physics, and obtaining bounds on the entropy of probability distributions is of fundamental importance in many of these applications. This article provides sharp bounds on the entropy concavity deficit, which is the difference between the entropy of the mixture and the weighted sum of entropies of constituent components. Toward establishing lower and upper bounds on the concavity deficit, results that are of importance in their own right are obtained. In order to obtain nontrivial upper bounds, properties of the skew-divergence are developed and notions of "skew" $f$-divergences are introduced; a reverse Pinsker inequality and a bound on Jensen-Shannon divergence are obtained along the way. Complementary lower bounds are derived with special attention paid to the case that corresponds to independent summation of a continuous and a discrete random variable. Several applications of the bounds are delineated, including to mutual information of additive noise channels, thermodynamics of computation, and functional inequalities.