cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Dynamics of lipid displacement inside the hydrophobic cavity of a nonspecific lipid transfer protein from Solanum melongena
Creators: name: Madni, Zaid Kamal
name: Kumar, Amit
name: Kumar, Ujjwal
name: Jaiswal, Deepika
name: Salunke, Dinakar M.
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Biochemistry
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Nonspecific lipid transfer proteins are multifunctional and multispecific seed proteins with a characteristic hydrophobic cavity that runs form N-terminal to the C-terminal end. They are capable of binding and transferring different lipid molecules by means of their hydrophobic cavity. Apart from the cavity, lipid molecules bind and interact at key positions on the nsLTP surface as well. The plasticity of the hydrophobic cavity is an unusual property, considered as the primary lipid binding site. Here, we report a crystal structure of nsLTP from Solanum melongena with two lauric acid molecules bound inside the cavity. It has been observed that the extent of the N-terminal entry point and plasticity of the cavity can be extended, upon binding of one or two lipid molecules inside the cavity. The MD simulation further revealed that the lipid molecule shows high mobility inside the cavity and interestingly, was able to change its orientation. An alternate lipid entry site adjacent to the N-terminal end was uncovered during simulation and Arg-84 was implicated to be a potential regulatory residue aside from Tyr-59. Collectively, this study helps to understand that changes in orientation of the lipid inside the cavity could occur intermittently besides entering the cavity via tail-in-mechanism. Communicated by Ramaswamy H. Sarma
Leveraging Collection Structure in Information Retrieval With Applications to Search in Conversational Social Media
Creators: name: Elsas, Jonathan L.
Publisher: name: Carnegie Mellon University
Year: 2011
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: Social media collections are becoming increasingly important in the everyday life of Internet users. Recent statistics show that sites hosting social media and community-generated content account for five of the top ten most visited websites in the United States [4], are visited regularly by a broad cross-section of Internet users [61, 67, 115] and host an enormous quantity of information [119, 48, 9]. The increasing importance and size of these collections requires that information retrieval systems pay special attention to these collections, and in particular pay attention to those aspects of social media collections that set them apart from the general web. Social media collections are interesting and challenging from the perspective of information retrieval systems. These collections are dynamic, with content being constantly added, removed and modified. These collections are time-sensitive, with the most recently added content often viewed as the most significant. These collections are richly structured, with authorship information, often threading structure and higher-level topical classifications. Although this type of collection structure is frequently critical for comprehension, it is rarely exploited in retrieval algorithms. This thesis investigates the hypothesis that we can improve retrieval performance in these collections by leveraging this type of structure. To evaluate this hypothesis, we present an exploration of search in several social media collections: blogs and online forums. We demonstrate the utility of leveraging collection structure in three different retrieval tasks: blog post search, blog feed search, and forum thread search. The techniques explored throughout these experiments include evaluating the representation granularity of collections of documents, and methods to incorporate content an author has written throughout the collection. Our results show that, although the retrieval tasks and techniques to leverage this type of collection structure are varied, in many cases substantial and significant retrieval quality improvements can be realized by leveraging this collection structure.
title: ADCO, Ordre cistercien : comptes. Secundum registrum monasteriorum ordinis Cisterciensis (1354), Cart. 170 (11 H 1159), f. 00031
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2019
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Ordre cistercien : comptes. Secundum registrum monasteriorum ordinis Cisterciensis (1354), Archives départementales de la Côte-d'Or, Cart. 170 (11 H 1159), f. 00031, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Ordre cistercien : comptes. Secundum registrum monasteriorum ordinis Cisterciensis (1354), Archives départementales de la Côte-d'Or, Cart. 170 (11 H 1159), f. 00031, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Lettre de Louis (Oncle) Bret à Jean-François Séguier, 1768-00-00
Creators: name: Bret, Louis (Oncle)
name: Louis (Oncle) Bret
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2021
Subjects: Botanique

description: [reférence bibliographique citée] Linné, Carl von,Genera plantarum eorumque characteres naturales secundum numerum, figuram, situm, & proportionem omnium fructificationis partium,Leyde, 1742
description: Source: [lieu de Conservation] Nîmes, Bibliothèque Carré d'Art [cote]ms. 138_16, fol. 383-384
description: Source: ark:/12148/btv1b10015172v
description: created: 1768-00-00
A semi-analytical model of the Galilean satellites' dynamics
Creators: name: Lari, Giacomo
Publisher: name: arXiv
Year: 2018
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: The Galilean satellites' dynamics has been studied extensively during the last century. In the past it was common to use analytical expansions in order to get simple models to integrate, but with the new generation computers it became prevalent the numerical integration of very sophisticated and almost complete equations of motion. In this article we aim to describe the resonant and secular motion of the Galilean satellites through a Hamiltonian, depending on the slow angles only, obtained with an analytical expansion of the perturbing functions and an averaging operation. In order to have a model as near as possible to the actual dynamics, we added perturbations and we considered terms that in similar studies of the past were neglected, such as the terms involving the inclinations and the Sun's perturbation. Moreover, we added the tidal dissipation into the equations, in order to investigate how well the model captures the evolution of the system.
description: In the new version of the paper I introduced the following main changes: 1. qualitative (new plots) and quantitative (new tables) comparison of the model with the JPL ephemerides JUP310 2. comparison with the results of Musotto et al. 2002 3. extension and small corrections of Section 7, about tidal dissipation
Performance Comparison of Apriori and FP-Growth Techniques in Generating Association Rules to Prostate Cancer
Creators: name: Jaree Thongkam
Publisher: name: Faculyt of Informatics, Mahasarakham University
Year: 2018
Subjects: Apriori
FP-Growth
Prostate Cancer
Association rule

description: Journal of Applied Informatics and Technology, 1, 2, 103-111
title: Phylogenetic diversity and environment form assembly rules for Arctic diatom genera
title: a study on recent and ancient sedimentary DNA
titleType: Subtitle
Creators: name: Stoof-Leichsenring, Kathleen Rosemarie
name: Pestryakova, Luidmila Agafyevna
name: Epp, Laura Saskia
name: Herzschuh, Ulrike
Publisher: name: Universität Potsdam
Year: 2024
Subjects: subject: 570 Biowissenschaften; Biologie

description: Aim This study investigates taxonomic and phylogenetic diversity in diatom genera to evaluate assembly rules for eukaryotic microbes across the Siberian tree line. We first analysed how phylogenetic distance relates to taxonomic richness and turnover. Second, we used relatedness indices to evaluate if environmental filtering or competition influences the assemblies in space and through time. Third, we used distance-based ordination to test which environmental variables shape diatom turnover. Location Yakutia and Taymyria, Russia: we sampled 78 surface sediments and a sediment core, extending to 7,000 years before present, to capture the forest-tundra transition in space and time respectively. Taxon Arctic freshwater diatoms. Methods We applied metabarcoding to retrieve diatom diversity from surface and core sedimentary DNA. The taxonomic assignment binned sequence types (lineages) into genera and created taxonomic (abundance of lineages within different genera) and phylogenetic datasets (phylogenetic distances of lineages within different genera). Results Contrary to our expectations, we find a unimodal relationship between phylogenetic distance and richness in diatom genera. We discern a positive relationship between phylogenetic distance and taxonomic turnover in spatially and temporally distributed diatom genera. Furthermore, we reveal positive relatedness indices in diatom genera across the spatial environmental gradient and predominantly in time slices at a single location, with very few exceptions assuming effects of competition. Distance-based ordination of taxonomic and phylogenetic turnover indicates that lake environment variables, like HCO3- and water depth, largely explain diatom turnover. Main conclusion Phylogenetic and abiotic assembly rules are important in understanding the regional assembly of diatom genera across lakes in the Siberian tree line ecotone. Using a space-time approach we are able to exclude the influence of geography and elucidate that lake environmental variables primarily shape the assemblies. We conclude that some diatom genera have greater capabilities to adapt to environmental changes, whereas others will be putatively replaced or lost due to the displacement of the Arctic tundra biome under recent global warming.
description: Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe; 1442
Synergistic coupling of Mn-doped skeleton and Mg-toughened matrix: towards a heat-resistant Al–La–Mg–Mn alloy
Creators: name: Zhang, Xinkui
name: Li, Liejun
name: Wang, Zhi
name: Gao, Jixiang
name: Peng, Zhengwu
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Physical Sciences not elsewhere classified
Neuroscience
Biotechnology
Chemical Sciences not elsewhere classified
Cancer
Hematology

description: Thermally stable three-dimensional (3D) skeleton coupled with the Mg-toughened matrix is employed to enhance the high-temperature strength in an Al–La–Mg–Mn alloy fabricated via laser powder bed fusion. The 3D skeleton exhibits a network and trans-granular structure with submicron cells, providing effective boundary strengthening to counter conventional grain boundary softening at elevated temperatures. Notably, Mn-doping introduces nanoscale Al6Mn precipitates into the skeleton, inducing additional microcracks that aid deformation coordination yet are buffered by the high-Mg toughened α-Al matrix during deformation. Quantitatively, the network structure contributes to over 30% and 40% yield strength increments at 200°C and 300°C, respectively. LPBF-fabricated Al–La–Mg–Mn alloy achieved outstanding high-temperature strength via boundary strengthening mechanism provide by the 3D skeleton.
Sums of hermitian squares and the BMV conjecture
Creators: name: Klep, Igor
name: Schweighofer, Markus
Publisher: name: arXiv
Year: 2007
Subjects: subject: Operator Algebras (math.OA)
subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: 11E25, 13J30, 15A90

description: Recently Lieb and Seiringer showed that the Bessis-Moussa-Villani conjecture from quantum physics can be restated in the following purely algebraic way: The sum of all words in two positive semidefinite matrices where the number of each of the two letters is fixed is always a matrix with nonnegative trace. We show that this statement holds if the words are of length at most 13. This has previously been known only up to length 7. In our proof, we establish a connection to sums of hermitian squares of polynomials in noncommuting variables and to semidefinite programming. As a by-product we obtain an example of a real polynomial in two noncommuting variables having nonnegative trace on all symmetric matrices of the same size, yet not being a sum of hermitian squares and commutators.
description: 21 pages; minor changes; a companion Mathematica notebook is now available in the source file
Benchmarking semiclassical approaches to strong-field QED: nonlinear Compton scattering in intense laser pulses
Creators: name: Blackburn, T. G.
name: Seipt, D.
name: Bulanov, S. S.
name: Marklund, M.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The recoil associated with photon emission is key to the dynamics of ultrarelativistic electrons in strong electromagnetic fields, as are found in high-intensity laser-matter interactions and astrophysical environments such as neutron star magnetospheres. When the energy of the photon becomes comparable to that of the electron, it is necessary to use quantum electrodynamics (QED) to describe the dynamics accurately. However, computing the appropriate scattering matrix element from strong-field QED is not generally possible due to multiparticle effects and the complex structure of the electromagnetic fields. Therefore these interactions are treated semiclassically, coupling probabilistic emission events to classical electrodynamics using rates calculated in the locally constant field approximation. Here we provide comprehensive benchmarking of this approach against the exact QED calculation for nonlinear Compton scattering of electrons in an intense laser pulse. We find agreement at the percentage level between the photon spectra, as well as between the models' predictions of absorption from the background field, for normalized amplitudes $a_0 > 5$. We discuss possible routes towards improved numerical methods and the implications of our results for the study of QED cascades.
description: 12 pages, 7 figures; accepted for publication in Physics of Plasmas
Gravitationally Lensed Quasars in Gaia: II. Discovery of 24 Lensed Quasars
Creators: name: Lemon, Cameron A.
name: Auger, Matthew W.
name: McMahon, Richard G.
name: Ostrovski, Fernanda
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We report the discovery, spectroscopic confirmation and preliminary characterisation of 24 gravitationally lensed quasars identified using Gaia observations. Candidates were selected in the Pan-STARRS footprint with quasar-like WISE colours or as photometric quasars from SDSS, requiring either multiple detections in Gaia or a single Gaia detection near a morphological galaxy. The Pan-STARRS grizY images were modelled for the most promising candidates and 60 candidate systems were followed up with the William Herschel Telescope. 13 of the lenses were discovered as Gaia multiples and 10 as single Gaia detections near galaxies. We also discover 1 lens identified through a quasar emission line in an SDSS galaxy spectrum. The lenses have median image separation 2.13 arcsec and the source redshifts range from 1.06 to 3.36. 4 systems are quadruply-imaged and 20 are doubly-imaged. Deep CFHT data reveal an Einstein ring in one double system. We also report 12 quasar pairs, 10 of which have components at the same redshift and require further follow-up to rule out the lensing hypothesis. We compare the properties of these lenses and other known lenses recovered by our search method to a complete sample of simulated lenses to show the lenses we are missing are mainly those with small separations and higher source redshifts. The initial Gaia data release only catalogues all images of ~ 30% of known bright lensed quasars, however the improved completeness of Gaia data release 2 will help find all bright lensed quasars on the sky.
description: 15 pages, 11 figures, accepted by MNRAS
All Together Now? – Do service providers have a role in the sustainability of open source repositories?
Creators: name: Allinson, Julie
name: McNicholl, Rory
Publisher: name: Zenodo
Year: 2019
Subjects: Open Source
sustainability
OS community
service providers
system development

description: The repository software dream has been a team of dedicated, in-house developers who work within their institutions and the various OS communities, hand-crafting new functionality and sharing the code. The reality has always been more complicated and messy. For a variety of reasons, many institutions find themselves without expert repository developers, but still needing to have bespoke work carried out. And commercial service providers have stepped up with offers to bridge this gap. Increasingly, institutions are working with such service providers as their technical partners. For the institutions, it means that OS software remains a viable option even without an in-house technical team. But can commercial providers be invested in Open Source in the same way that in-house developers are? Do they contribute to the long-term stability, sustainability and accessibility of OS software and communities, or are they just taking the money? The panel will present a range of views from both commercial service providers, those who keep technical expertise in-house, and some who do a little of both. We expect the discussion to be lively, though-provoking and insightful, hopefully sparking further discussions in the community about how we might continue to sustain the OS community within repositories.
Legible Robot Motion Planning
Creators: name: Dragan, Anca D.
Publisher: name: Carnegie Mellon University
Year: 2015
Subjects: subject: 80101 Adaptive Agents and Intelligent Robotics
subject: FOS: Computer and information sciences

description: The goal of this thesis is to enable robots to produce motion that is suitable for human-robot collaboration and co-existence. Most motion in robotics is purely functional: industrial robots move to package parts, vacuuming robots move to suck dust, and personal robots move to clean up a dirty table. This type of motion is ideal when the robot is performing a task in isolation. Collaboration, however, does not happen in isolation. In collaboration, the robot’s motion has an observer, watching and interpreting the motion. In this work, we move beyond functional motion, and introduce the notion of an observer into motion planning, so that robots can generate motion that is mindful of how it will be interpreted by a human collaborator. We formalize predictability and legibility as properties of motion that naturally arise from the inferences that the observer makes, drawing on action interpretation theory in psychology. Predictable motion stems from a goal-to-action inference and matches the observer’s expectation, given the robot’s goal. Legible motion stems from an action-to-goal inference: the robot is clearly conveying its goal with its ongoing motion. We propose models for these inferences based on the principle of rational action, Bayesian inference, and the principle of maximum entropy. We then use a combination of constrained trajectory optimization and machine learning techniques to enable robots to plan motion that is predictable or legible. Finally, we verify that the generated motions are more predictable and legible, and evaluate the impact of such motion on a physical human-robot collaboration task. Our results suggest that predictability and legibility do not only increase task performance, but also make the collaboration process more fluent, increasing subjective metrics such as trust or comfort. We also show generalizations of the legibility formalism to deception, gestures, and assistive teleoperation.
COSMic: A Coherence-Aware Generation Metric for Image Descriptions
Creators: name: İnan, Mert
name: Sharma, Piyush
name: Khalid, Baber
name: Soricut, Radu
name: Stone, Matthew
name: Alikhani, Malihe
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Developers of text generation models rely on automated evaluation metrics as a stand-in for slow and expensive manual evaluations. However, image captioning metrics have struggled to give accurate learned estimates of the semantic and pragmatic success of output text. We address this weakness by introducing the first discourse-aware learned generation metric for evaluating image descriptions. Our approach is inspired by computational theories of discourse for capturing information goals using coherence. We present a dataset of image$\unicode{x2013}$description pairs annotated with coherence relations. We then train a coherence-aware metric on a subset of the Conceptual Captions dataset and measure its effectiveness$\unicode{x2014}$its ability to predict human ratings of output captions$\unicode{x2014}$on a test set composed of out-of-domain images. We demonstrate a higher Kendall Correlation Coefficient for our proposed metric with the human judgments for the results of a number of state-of-the-art coherence-aware caption generation models when compared to several other metrics including recently proposed learned metrics such as BLEURT and BERTScore.
description: 12 pages, 4 figures, Findings of the Association for Computational Linguistics: EMNLP 2021
Data Science Tools for Monitoring the Global Repository Eco-System and its Lines of Evolution
Creators: name: Summann, Friedrich
name: Pieper, Dirk
Publisher: name: Zenodo
Year: 2019
Subjects: Global Repository Network
Data Science

description: The global network of repositories can now look back on a history of twenty years of publishing and disseminating scientific publications and related material. During this time a lot of developments happened with respect to technical optimizations and the extension of contents. It is crucial to observe and analyze this evolution to draw conclusions for the further development of repositories. The basis for such an analysis are data. The OAI service provider BASE (Bielefeld Academic Search Engine) has started indexing repositories in 2004 and has collected metadata on repositories as well. This presentation will introduce the main features for a planned repository monitoring system. The data has been collected since 2004 and covers basic repository metadata as well as publication metadata of a repository. These data allow a deep analysis for many indicators in different logical combinations. This paper will sketch the system approach and the integration of data science techniques. It describes the aimed monitoring system and will show first results.
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning
Creators: name: Koch, Patrick
name: Golovidov, Oleg
name: Gardner, Steven
name: Wujek, Brett
name: Griffin, Joshua
name: Xu, Yan
Publisher: name: arXiv
Year: 2018
Subjects: subject: Machine Learning (cs.LG)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Neural and Evolutionary Computing (cs.NE)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Machine learning applications often require hyperparameter tuning. The hyperparameters usually drive both the efficiency of the model training process and the resulting model quality. For hyperparameter tuning, machine learning algorithms are complex black-boxes. This creates a class of challenging optimization problems, whose objective functions tend to be nonsmooth, discontinuous, unpredictably varying in computational expense, and include continuous, categorical, and/or integer variables. Further, function evaluations can fail for a variety of reasons including numerical difficulties or hardware failures. Additionally, not all hyperparameter value combinations are compatible, which creates so called hidden constraints. Robust and efficient optimization algorithms are needed for hyperparameter tuning. In this paper we present an automated parallel derivative-free optimization framework called \textbf{Autotune}, which combines a number of specialized sampling and search methods that are very effective in tuning machine learning models despite these challenges. Autotune provides significantly improved models over using default hyperparameter settings with minimal user interaction on real-world applications. Given the inherent expense of training numerous candidate models, we demonstrate the effectiveness of Autotune's search methods and the efficient distributed and parallel paradigms for training and tuning models, and also discuss the resource trade-offs associated with the ability to both distribute the training process and parallelize the tuning process.
description: 10 Pages, 9 figures, accept by KDD 2018
Nonabelian Berry Phases in Baryons
Creators: name: Lee, H. K.
name: Nowak, M. A.
name: Rho, Mannque
name: Zahed, I.
Publisher: name: arXiv
Year: 1993
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We show how generic nonabelian gauge fields can be induced in baryons when a hierarchy of fast degrees of freedom is integrated out. We identify them with nonabelian Berry potentials and discuss their role in transmuting quantum numbers in bag and soliton models of baryons. The resulting baryonic spectra for both light and heavy quark systems are generic and resemble closely the excitation spectrum of diatomic molecules. The symmetry restoration in the system, i.e., the electronic rotational invariance in diatomic molecules, the heavy-quark symmetry in heavy baryons etc. is interpreted in terms of the vanishing of nonabelian Berry potentials that otherwise govern the hyperfine splitting.
description: Latex 35 pages (2 figures not added, will be faxed if requested), NTG-92-20
Learning with Staleness
Creators: name: Dai, Wei
Publisher: name: Carnegie Mellon University
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: A fundamental assumption behind most machine learning (ML) algorithms and analyses is the sequential execution. That is, any update to the ML model can be immediately applied and the new model is always available for the next algorithmic step. This basic assumption, however, can be costly to realize, when the computation is carried out across multiple machines, linked by commodity networks that are usually 104 times slower than the memory speed due to fundamental hardware limitations. As a result, concurrent ML computation in the distributed settings often needs to handle delayed updates and perform learning in the presence of staleness. This thesis characterizes learning with staleness from three directions: (1) We extend the theoretical analyses of a number of classical ML algorithms, including stochastic gradient descent, proximal gradient descent on non-convex problems, and Frank-Wolfe algorithms, to explicitly incorporate staleness into their convergence characterizations. (2)We conduct simulation and large-scale distributed experiments to study the empirical effects of staleness on ML algorithms under indeterministic executions. Our results reveal that staleness is a key parameter governing the convergence speed for all considered ML algorithms, with varied ramifications. (3) We design staleness-minimizing parameter server systems by optimizing synchronization methods to effectively reduce the runtime staleness. The proposed optimization of a bounded consistency model utilizes the additional network bandwidths to communicate updates eagerly, relieving users of the burden to tune the staleness level. By minimizing staleness at the framework level, our system stabilizes diverging optimization paths and substantially accelerates convergence across ML algorithms without any modification to the ML programs.
The vacuum polarization around an axionic stringy black hole
Creators: name: Carlini, A.
name: Treves, A.
name: Fucito, F.
name: Martellini, M.
Publisher: name: arXiv
Year: 1992
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We consider the effect of vacuum polarization around the horizon of a 4 dimensional axionic stringy black hole. In the extreme degenerate limit ($Q_a=M$), the lower limit on the black hole mass for avoiding the polarization of the surrounding medium is $M\gg (10^{-15}÷10^{-11})m_p$ ($m_p$ is the proton mass), according to the assumed value of the axion mass ($m_a\simeq (10^{-3}÷10^{-6})~eV$). In this case, there are no upper bounds on the mass due to the absence of the thermal radiation by the black hole. In the nondegenerate (classically unstable) limit ($Q_a
description: 7 pages, phyzzx.tex, ROM2F-92-36
title: 01_1055
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
Learning with Sparcity: Structures, Optimization and Applications
Creators: name: Chen, Xi
Publisher: name: Carnegie Mellon University
Year: 2013
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: The development of modern information technology has enabled collecting data of unprecedented size and complexity. Examples include web text data, microarray & proteomics, and data from scientific domains (e.g., meteorology). To learn from these high dimensional and complex data, traditional machine learning techniques often suffer from the curse of dimensionality and unaffordable computational cost. However, learning from large-scale high-dimensional data promises big payoffs in text mining, gene analysis, and numerous other consequential tasks. Recently developed sparse learning techniques provide us a suite of tools for understanding and exploring high dimensional data from many areas in science and engineering. By exploring sparsity, we can always learn a parsimonious and compact model which is more interpretable and computationally tractable at application time. When it is known that the underlying model is indeed sparse, sparse learning methods can provide us a more consistent model and much improved prediction performance. However, the existing methods are still insufficient for modeling complex or dynamic structures of the data, such as those evidenced in pathways of genomic data, gene regulatory network, and synonyms in text data. This thesis develops structured sparse learning methods along with scalable optimization algorithms to explore and predict high dimensional data with complex structures. In particular, we address three aspects of structured sparse learning: 1. Efficient and scalable optimization methods with fast convergence guarantees for a wide spectrum of high-dimensional learning tasks, including single or multi-task structured regression, canonical correlation analysis as well as online sparse learning. 2. Learning dynamic structures of different types of undirected graphical models, e.g., conditional Gaussian or conditional forest graphical models. 3. Demonstrating the usefulness of the proposed methods in various applications, e.g., computational genomics and spatial-temporal climatological data. In addition, we also design specialized sparse learning methods for text mining applications, including ranking and latent semantic analysis. In the last part of the thesis, we also present the future direction of the high-dimensional structured sparse learning from both computational and statistical aspects.
Fine tuning of quantum operations performed via Raman transitions
Creators: name: Chimczak, Grzegorz
name: Tanaś, Ryszard
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A scheme for fine tuning of quantum operations to improve their performance is proposed. A quantum system in $Λ$ configuration with two-photon Raman transitions is considered without adiabatic elimination of the excited (intermediate) state. Conditional dynamics of the system is studied with focus on improving fidelity of quantum operations. In particular, the $π$ pulse and $π/2$ pulse quantum operations are considered. The dressed states for the atom-field system, with an atom driven on one transition by a classical field and on the other by a quantum cavity field, are found. A discrete set of detunings is given for which high fidelity of desired states is achieved. Analytical solutions for the quantum state amplitudes are found in the first order perturbation theory with respect to the cavity damping rate $κ$ and the spontaneous emission rate $γ$. Numerical solutions for higher values of $κ$ and $γ$ indicate a stabilizing role of spontaneous emission in the $π$ and $π/2$ pulse quantum operations. The idea can also be applied for excitation pulses of different shapes.
description: 11 pages, 11 figures, published version
Learning with Limited Supervision by Input and Output Coding
Creators: name: Zhang, Yi
Publisher: name: Carnegie Mellon University
Year: 2012
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: In many real-world applications of supervised learning, only a limited number of labeled examples are available because the cost of obtaining high-quality examples is high. Even with a relatively large number of labeled examples, the learning problem may still suffer from limited supervision as the complexity of the prediction function increases. Therefore, learning with limited supervision presents a major challenge to machine learning. With the goal of supervision reduction, this thesis studies the representation, discovery and incorporation of extra input and output information in learning. Information about the input space can be encoded by regularization. We first design a semi-supervised learning method for text classification that encodes the correlation of words inferred from seemingly irrelevant unlabeled text. We then propose a multi-task learning framework with a matrix-normal penalty, which compactly encodes the covariance structure of the joint input space of multiple tasks. To capture structure information that is more general than covariance and correlation, we study a class of regularization penalties on model compressibility. Then we design the projection penalty, which encodes the structure information from a dimension reduction while controlling the risk of information loss. Information about the output space can be exploited by error correcting output codes. Using the composite likelihood view, we propose an improved pairwise coding for multi-label classification, which encodes pairwise label density (as opposed to label comparisons) and decodes using variational methods. We then investigate problemdependent codes, where the encoding is learned from data instead of being predefined. We first propose a multi-label output code using canonical correlation analysis, where predictability of the code is optimized. We then argue that both discriminability and predictability are critical for output coding, and propose a max-margin formulation that promotes both discriminative and predictable codes. We empirically study our methods in a wide spectrum of applications, including document categorization, landmine detection, face recognition, brain signal classification, handwritten digit recognition, house price forecasting, music emotion prediction, medical decision, email analysis, gene function classification, outdoor scene recognition, and so forth. In all these applications, our proposed methods for encoding input and output information lead to significantly improved prediction performance.
Downsizing of Star Formation Measured from the Clustered Infrared Background Correlated with Quasars
Creators: name: Hall, Kirsten R.
name: Crichton, Devin
name: Marriage, Tobias
name: Zakamska, Nadia L.
name: Mandelbaum, Rachel
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Powerful quasars can be seen out to large distances. As they reside in massive dark matter haloes, they provide a useful tracer of large scale structure. We stack Herschel-SPIRE images at 250, 350 and 500 microns at the location of 11,235 quasars in ten redshift bins spanning $0.5 \leq z \leq 3.5$. The unresolved dust emission of the quasar and its host galaxy dominate on instrumental beam scales, while extended emission is spatially resolved on physical scales of order a megaparsec. This emission is due to dusty star-forming galaxies clustered around the dark matter haloes hosting quasars. We measure radial surface brightness profiles of the stacked images to compute the angular correlation function of dusty star-forming galaxies correlated with quasars. We then model the profiles to determine large scale clustering properties of quasars and dusty star-forming galaxies as a function of redshift. We adopt a halo model and parameterize it by the most effective halo mass at hosting star-forming galaxies, finding $\log(M_\mathrm{eff}/M_{\odot}) = 13.8^{+0.1}_{-0.1}$ at $z=2.21-2.32$, and, at $z=0.5-0.81$, the mass is $\log(M_\mathrm{eff}/M_{\odot}) = 10.7^{+1.0}_{-0.2}$. Our results indicate a downsizing of dark matter haloes hosting dusty star-forming galaxies between $0.5 \leq z \leq 2.9$. The derived dark matter halo masses are consistent with other measurements of star-forming and sub-millimeter galaxies. The physical properties of dusty star-forming galaxies inferred from the halo model depend on details of the quasar halo occupation distribution in ways that we explore at $z>2.5$, where the quasar HOD parameters are not well constrained.
description: Accepted for publication in MNRAS, 35 pages, 30 figures, 2 tables
Gate-dependent vacancy diffusion in graphene
Creators: name: Babar, Rohit
name: Kabir, Mukul
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Kinetics of vacancy defect in graphene drives structural modifications leading to disorder, multi-vacancy complex and edge reconstruction. Within the first-principles calculations, we study the dynamic Jahn-Teller distortion and diffusion of a vacancy defect. Further, the intricate dependence of carrier doping is systematically investigated. The experimental observation of dynamic Jahn-Teller distortion is argued to be blocked by defect functionalization and charge doping. We demonstrate that lattice relaxation perpendicular to the graphene sheet along with the in-plane strain relaxation plays predominant roles in predicting the correct microscopic mechanism for vacancy diffusion. The importance of quantum correction to the classical barrier is discussed. The calculated activation barrier increases upon both electron and hole doping and the observed trends are explained by the differential charge density distribution and hardening of the responsible low-energy phonon modes. Electron doping essentially freezes the vacancy motion, and thus any degradation mediated by it. While tracking and analyzing the vacancy diffusion experimentally in graphene is a difficult task, the present results will motivate new experimental efforts and assist interpretation of the results.
description: 8 pages, 5 figures
title: ADCO, Premier cartulaire de Saint-Étienne de Dijon (XIIe siècle), Cart. 21 (G 125), 71 folios, f. 00021
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2015
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cartulaire

description: Premier cartulaire de Saint-Étienne de Dijon (XIIe siècle), Archives départementales de la Côte-d'Or, Cart. 21 (G 125), 71 folios, f. 00021, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Premier cartulaire de Saint-Étienne de Dijon (XIIe siècle), Archives départementales de la Côte-d'Or, Cart. 21 (G 125), 71 folios, f. 00021, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-project.eu/
description: Provenance: abbaye Saint-Étienne de Dijon
description: Provenance: http://www.wikidata.org/entity/Q15945019
Noncommutative Heisenberg algebra in the neighbourhood of a generic null surface
Creators: name: Bhattacharya, Krishnakanta
name: Majhi, Bibhas Ranjan
Publisher: name: arXiv
Year: 2018
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We show that the diffeomorphisms, which preserve the null nature for a generic null metric very near to the null surface, provide {\it noncommutative} Heisenberg algebra. This is the generalization of the earlier work (Phys. Rev. D95, 044020 (2017)) \cite{Majhi:2017fua}, done for the Rindler horizon. The present analysis revels that the algebra is very general as it is obtained for a generic null surface and is applicable for any spacetime horizon. Finally using these results, the entropy of the null surface is derived in the form of the Cardy formula. Our analysis is completely {\it off-shell} as no equation of motion is used. We believe present discussion can illuminate the paradigm of `gravity as an emergent phenomenon' and could be a candidate to probe the origin of gravitational entropy.
description: Modified version with several added comments, To appear in Nucl. Phys. B
Phase Improvement Algorithm for NLFM Waveform Design to Reduction of Sidelobe Level in Autocorrelation Function
Creators: name: Ghavamirad, Roohollah
name: Sebt, Mohammad Ali
name: Babashah, Hossein
Publisher: name: arXiv
Year: 2018
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, a phase improvement algorithm has been developed to design the nonlinear frequency modulated (NLFM) signal for the four windows of Raised-Cosine, Taylor, Chebyshev, and Kaiser. We have already designed NLFM signal by stationary phase method. The simulation results for the peak sidelobe level of the autocorrelation function in the phase improvement algorithm reveal a significant average decrement of about 5 dB with respect to stationary phase method. Moreover, to evaluate the efficiency of the phase improvement algorithm, minimum error value for each iteration is calculated.
Revealing the Warm and Hot Halo Baryons via Thomson Scattering of Quasar Light
Creators: name: Mas-Ribas, Lluís
name: Hennawi, Joseph F.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The baryonic content and physical properties of the warm and hot ($10^5\lesssim T\lesssim 10^7$ K) phases of the circumgalactic medium (CGM) are poorly constrained, owing to the lack of observables probing the requisite range of temperature, spatial scale, halo mass, and redshift. The radiation from a luminous quasar produces a spatially extended emission halo resulting from Thomson scattering off of free electrons in the CGM, which can be used to measure the electron density profile, and therefore, the amount of warm and hot baryonic matter present. We predict the resulting surface brightness profiles and show that they are easily detectable in a three hour integration with the James Webb Space Telescope (JWST), out to $\sim 100$ physical kpc from the centers of individual hyper-luminous quasars. This electron scattering surface brightness is redshift independent, and the signal-to-noise ratio depends only very weakly on redshift, in principle allowing measurements of the warm and hot CGM into the Epoch of Reionization at $z\sim 6.5$. We consider a litany of potential contaminants, and find that for fainter quasars at $z\lesssim1$, extended stellar halos might be of comparable surface brightness. At $z>2$, JWST mid-IR observations start to probe rest-frame optical/UV wavelengths implying that scattering by dust grains in the CGM becomes significant, although multi-color observations should be able to distinguish these scenarios given that Thomson scattering is achromatic.
description: 22 pages, 8 figures. Version accepted for publication at ApJ. Busy reader, see Fig. 6 (quasi-constant detectability of Thomson scattering halos up to Reionization)
The development of geographic information systems for crop cultivation and food production and agricultural tourism in Phetchaburi Province
Creators: name: Attapap Maneetoem
Publisher: name: Faculyt of Informatics, Mahasarakham University
Year: 2020
Subjects: Geographic Information Systems
Plant and fruit plantation
Agricultural tourism

description: Journal of Applied Informatics and Technology, 2, 1, 1-18