cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A dynamic extreme value model with applications to volcanic eruption forecasting
Creators: name: Nguyen, Michele
name: Veraart, Almut E. D.
name: Taisne, Benoit
name: Ting, Tan Chiou
name: Lallemant, David
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Extreme events such as natural and economic disasters leave lasting impacts on society and motivate the analysis of extremes from data. While classical statistical tools based on Gaussian distributions focus on average behaviour and can lead to persistent biases when estimating extremes, extreme value theory (EVT) provides the mathematical foundations to accurately characterise extremes. In this paper, we adapt a dynamic extreme value model recently introduced to forecast financial risk from high frequency data to the context of natural hazard forecasting. We demonstrate its wide applicability and flexibility using a case study of the Piton de la Fournaise volcano. The value of using EVT-informed thresholds to identify and model extreme events is shown through forecast performance.
description: Math Geosci (2023)
ResIPy
Creators: name: Blanchy, Guillaume
name: Saneiyan, Sina
name: Boyd, Jimmy
name: McLachlan, Paul
name: Binley, Andrew
Publisher: name: Zenodo
Year: 2019
Subjects: geophysical inversion
electrical resistivity tomography
induced polarization
time-lapse inversion
ERT
IP
graphical user interface
GUI

description: ResIPy (new name for pyR2) is a python wrapper around R2 code family that provides an API and a standalone graphical user interface (GUI) for geophysical DC/IP inversion.
 ResIPy aims to be both (1) simple and intuitive to use (you can invert your data in one-click with all default settings)
 (2) but still allowing the user to have full control on data filtering, error modelling, mesh parameters and inversion settings ResIPy is an open-source project, everyone is welcome to contribute. Checkout gitlab for latest version: https://gitlab.com/hkex/pyr2
description: https://gitlab.com/hkex/pyr2
Synchrotron Self-inverse Compton Radiation From Reverse-shock on GRB120326A
Creators: name: Urata, Yuji
name: Huang, Kuiyun
name: Takahashi, Satoko
name: Im, Myungshin
name: Yamaoka, Kazutaka
name: Tashiro, Makoto
name: Kim, Jae-Woo
name: Jang, Minsung
name: Pak, Soojong
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present multi-wavelength observations of a typical long duration GRB 120326A at $z=1.798$, including rapid observations using a submillimeter array (SMA), and a comprehensive monitoring in X-ray and optical. The SMA observation provided the fastest detection to date among seven submillimeter afterglows at 230 GHz. The prompt spectral analysis, using Swift and Suzaku yielded a spectral peak energy of $E^{\rm src}_{\rm peak}=107.8^{+15.3}_{-15.3}$ keV and equivalent isotropic energy of $E_{\rm iso}$ as $3.18^{+0.40}_{-0.32}\times 10^{52}$ erg. The temporal evolution and spectral properties in the optical were consistent with the standard forward shock synchrotron with jet collimation ($6^{\circ}.69\pm0^{\circ}.16$). The forward shock modeling using a 2D relativistic hydrodynamic jet simulation also determined the reasonable burst explosion and the synchrotron radiation parameters for the optical afterglow. The X-ray light curve showed no apparent jet break and the temporal decay index relation between the X-ray and optical ($α{\rm o}-α_{X}=-1.45\pm0.10$) indicated different radiation processes in the X-ray and optical. Introducing synchrotron self-inverse Compton radiation from reverse shock is a possible solution, and the detection and the slow decay of the afterglow in submillimeter supports that this is a plausible idea. The observed temporal evolution and spectral properties as well as forward shock modeling parameters, enabled to determine reasonable functions to describe the afterglow properties. Because half of events share similar properties in the X-ray and optical to the current event, GRB120326A will be a benchmarks with further rapid follow-ups, using submillimeter instruments such as SMA and ALMA.
description: 25 pages, 7 figures, 2 tables, accepted for publication in ApJ
A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually
Creators: name: Song, Hunsoo
name: Jung, Jinha
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The digital terrain model (DTM) is fundamental geospatial data for various studies in urban, environmental, and Earth science. The reliability of the results obtained from such studies can be considerably affected by the errors and uncertainties of the underlying DTM. Numerous algorithms have been developed to mitigate the errors and uncertainties of DTM. However, most algorithms involve tricky parameter selection and complicated procedures that make the algorithm's decision rule obscure, so it is often difficult to explain and predict the errors and uncertainties of the resulting DTM. Also, previous algorithms often consider the local neighborhood of each point for distinguishing non-ground objects, which limits both search radius and contextual understanding and can be susceptible to errors particularly if point density varies. This study presents an open-source DTM generation algorithm for airborne LiDAR data that can consider beyond the local neighborhood and whose results are easily explainable, predictable, and reliable. The key assumption of the algorithm is that grounds are smoothly connected while non-grounds are surrounded by areas having sharp elevation changes. The robustness and uniqueness of the proposed algorithm were evaluated in geographically complex environments through tiling evaluation compared to other state-of-the-art algorithms.
Quasi-1D graphene superlattices formed on high index surfaces
Creators: name: Lin, Chenfang
name: Huang, Xiangqian
name: Ke, Fen
name: Jin, Chenhao
name: Tong, Nai
name: Yin, Xiuli
name: Gan, Lin
name: Guo, Xuefeng
name: Zhao, Ruguang
name: Yang, Weisheng
name: Wang, Enge
name: Hu, Zonghai
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report preparation of large area quasi-1D monolayer graphene superlattices on a prototypical high index surface Cu(410)-O and characterization by Raman spectroscopy, Auger electron spectroscopy (AES), low energy electron diffraction (LEED), scanning tunneling microscopy (STM) and scanning tunneling spectroscopy (STS). The periodically stepped substrate gives a 1D modulation to graphene, forming a superlattice of the same super-periodicity. Consequently the moire pattern is also quasi-1D, with a different periodicity. Scanning tunneling spectroscopy measurements revealed new Dirac points formed at the superlattice Brillouin zone boundary as predicted by theories.
description: 4 figures
Confinement of Bose-Einstein magnon condensates in adjustable complex magnetization landscapes
Creators: name: Schweizer, Matthias R.
name: Kreil, Alexander J. E.
name: von Freymann, Georg
name: Hillebrands, Burkard
name: Serga, Alexander A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Coherent wave states such as Bose-Einstein condensates (BECs), which spontaneously form in an overpopulated magnon gas even at room temperature, have considerable potential for wave-based computing and information processing at microwave frequencies. The ability to control the transport properties of magnon BECs plays an essential role for their practical use. Here, we demonstrate spatio-temporal control of the BEC density distribution through the excitation of magnon supercurrents in an inhomogeneously magnetized yttrium iron garnet film. The BEC is created by microwave parametric pumping and probed by Brillouin light scattering spectroscopy. The desired magnetization profile is prepared by heating the film with optical patterns projected onto its surface using a phase-based wavefront modulation technique. Specifically, we observe a pronounced spatially localized magnon accumulation caused by magnon supercurrents flowing toward each other originating in two heated regions. This accumulation effect increases the BEC lifetime due to the constant influx of condensed magnons into the confinement region. The shown approach to manipulate coherent waves provides an opportunity to extend the lifetime of freely evolving magnon BECs, create dynamic magnon textures, and study the interaction of magnon condensates formed in different regions of the sample.
description: 8 pages, 4 figures
From shadow to light: make data visible. DDI, a collaborative ground for the Library and the Center for Socio-Political Data (CDSP) of Sciences Po
Creators: name: Michaud, Geneviève
name: Pedroja, Cynthia
Publisher: name: Zenodo
Year: 2018

description: With a catalogue of nearly one million documents and a wide range of digital resources, Sciences Po’s Library is recognized as a reference for the social sciences in Europe.

60% of its references are provided in foreign languages.

Numerous research teams produce actively data each year (wide thematic range: political science, economy, sociology, history,  …).

Until recently, data was “hidden”: no curation, preservation, documentation, management was formally planned by the research teams. From 2015, a new project was set up by Sciences Po, whose purpose is to curate data and add value to them by using metadata (DDI, MODS, METS, etc.) to make them visible and maintained over time.

The CDSP, which is specialized in the curation and dissemination of quantitative and qualitative SHS surveys and datasets, collaborates with the Library on the technical aspects of the set-up of Sciences Po’s institutional repository.

This presentation will focus on three points: How to integrate DDI to an existing metadata schema at the Library? How about the interoperability between DDI and other existing standards and information systems at the library? How to collaborate with the other Sciences Po research and data centers? Is the “library’s DDI” compatible with “CDSP’s DDI”?
CESSDA  Vocabulary Manager
Creators: name: Klas, Claus-Peter
name: Nugraha, Sigit
Publisher: name: Zenodo
Year: 2018

description: CESSDA CV-Manager is a tool that provides comprehensive functionalities to manage hierarchical controlled vocabularies (CVs).

This tool manages the entire workflow process of a CV, from creation, review process until its publication, as well as providing versioning and mulitlinguality functionalities, which allows the collaborative CVs management in an easy and efficient way.

CESSDA CV-Manager is based on DDI Flat-DB, an efficient REST-based database storage for DDI. Each published CV is stored as XML inside DDI Flat-DB documented as SKOS RDF vocabulary.

The published CVs is indexed with ElasticSearch for user-friendly searching.  In addition to the RDF format, the tool also allows CVs to be exported to other formats such as PDF and HTML. To incorporate the CVs into your own documentation tools, several REST endpoints are provided, such as selecting CVs, CV code suggestion or to fetch the whole CV for browsing purposes.

In the presentation the productive CESSDA CV manager will be described and we will discuss how to adopt and operationalize other complex  XML based meta-data schema such as SKOS using DDI-FlatDB. As a next step we plan to extend the CESSDA CV manager to become a full flavored collaborative thesaurus manager.
title: Advantages of analytic solutions of sentience cloud platform
Creators: name: Yusupbekov, N.R.
name: Sujith, Somakumaran
name: Anand, Narwadkar
name: Abdurasulov, F.R.
name: Adilov, F.T.
name: Ivanyan, A.I.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2018

description: The Internet of Things (IoT), Industry 4.0, and advanced analytics have generated enormous hype for their potential to transform businesses. This paper looks at different types of analytics and presents a pragmatic approach taken by Honeywell Connected Plant in application of analytics to gain insights from data in process industry.
Anomalous magnetic moment of the positronium ion
Creators: name: Liang, Yi
name: McGrath, Paul L.
name: Czarnecki, Andrzej
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We determine the gyromagnetic factor of the positronium ion, a three-body system consisting of two electrons and a positron, including first relativistic corrections. We find that the g-factor is modified by a term -0.51(1)alpha^2, exceeding 15 times the alpha^2 correction for a free electron. We compare this effect with analogous results found previously in atomic positronium and in hydrogen-like ions.
description: 7 pages
Quality Data from Messy Spectra: How Isometric Points Increase Information Content in Highly Overlapping Spectra
Creators: name: Kaspar, Felix
Publisher: name: Technische Universität Berlin
Year: 2023
Subjects: subject: 500 Naturwissenschaften und Mathematik::540 Chemie::540 Chemie und zugeordnete Wissenschaften
subject: IR spectroscopy
subject: isosbestic points
subject: normalization
subject: UV spectroscopy

description: Spectroscopic techniques are immensely useful for obtaining information about chemical transformations while they are happening. However, such data are often messy, and it is challenging to extract reliable information from them without careful calibrations or internal standards. This short introductory review discusses how isometric points (points in a spectrum where the signal intensity remains constant throughout the progress of a chemical transformation) can be used to derive high‐quality data from messy spectra. Such analyses are helpful in a variety of (bio‐)chemical settings, as selected case studies demonstrate.
Quantum search on graphene lattices
Creators: name: Foulger, Iain
name: Gnutzmann, Sven
name: Tanner, Gregor
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Physics (quant-ph)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: We present a continuous-time quantum search algorithm on a graphene lattice. This provides the sought-after implementation of an efficient continuous-time quantum search on a two-dimensional lattice. The search uses the linearity of the dispersion relation near the Dirac point and can find a marked site on a graphene lattice faster than the corresponding classical search. The algorithm can also be used for state transfer and communication.
description: 8 pages including supplement
Extracting, Evaluating and Combining Density Forecasts for Stock Index Returns Using Option Contracts and Historical Index Prices
Creators: name: Mbara, Pierre Ngon A
Publisher: name: University of Leicester
Year: 2023
Subjects: Uncategorized

description: This research shows how to extract, evaluate and combine density forecasts of stock index returns from option contract prices and historical index prices. Option implied density forecasts are extracted using both theories of risk-neutral valuation and the specification of a semi-parametric option pricing model. A novel approach is introduced to transform the option implied risk-neutral density forecasts obtained, into real-world density forecasts. The latter are therefore calibrated through the transformation and accounts for the subjective attitude toward risk of investors. Historical densities are derived based on the specification of a model of conditional volatility and the distribution of the error terms of the data generating process. The Kullblack Liebler information criterion (KLIC) is used in this research as a measure of the distance between the true unknown density forecast and the empirical densities derived for horizon one day ahead to sixty days ahead. Studying the extraction and the evaluation of density forecasts for stock indices based on the two sources of information mentioned above can be useful to academic, practitioners and policy makers such as central banks to understand the relevance of the type of information used for the forecasting exercise and the pertinence of the theoretical or empirical assumptions justifying the forecasting methodology. This thesis suggests that historical density forecasts outperform both option implied risk-neutral and real-world calibrated density forecasts in the KLIC sense. This means based on the results obtained in the KLIC based methodology and the subsequent predictive ability tests, historical density forecasts are more appropriate for multiple horizon density forecasts of return than both simple and advanced option implied density forecasts.
title: The system of full-scale modelling of movable object with an operator in the control loop
Creators: name: Verlan, A.F.
name: Fedorchuk, V.A.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2018

description: The principles of organization of a full-scale modelling of a moving object with an operator in its control loop are considered in the article. The task of reproducing the required dynamic characteristics, which the simulated moving object possesses, is solved by correcting the control signals for a moving object with similar dynamic properties. The developed method, for example, can be used to simulate the dynamic characteristics of the aircraft by another aircraft provided with a unit of adjustment of control.
GESIS Service Infrastructure - DDI  along the way
Creators: name: Klas, Claus-Peter
name: Hopt, Oliver
Publisher: name: Zenodo
Year: 2018

description: To document an empirical survey for understanding, findability and re-use several steps are necessary. In our case we start with an existing statistical file containing the survey data. The documentation starts with importing variable names and labels, answer codes and categories using R and storing these informations in corresponding DDI 3.2 Lifecycle elements using the DDI-FlatDB.

In addition variable statistics e.g. in form of frequency tables can be automatically created and stored. Next step is to newly enter or connect an existing questionnaire using the questionnaire editor. After these steps a deep documentation on variable level will be possible through a variable editor incl. connecting controlled vocabularies using the CESSDA CV manager. Furthermore we will integrate a table generator, to create more sophisticated cross-reference, frequency or descriptive tables. For more specific tables, we integrate direct R script handling via RServe.

In this presentation we will describe the planed architecture, tools and editors. All planed services are implemented to be collaborative, multilingual web applications and directly support multilinguality on the documentation level. Search and browse of study- and variable-level is provided within the ExploreData project.
The isomorphism problem for multiparameter quantized Weyl algebras
Creators: name: Goodearl, K. R.
name: Hartwig, J. T.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Rings and Algebras (math.RA)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics
subject: Primary 16W35, secondary 16S36

description: In this note we solve the isomorphism problem for the multiparameter quantized Weyl algebras, in the case when none of the deformation parameters q_i is a root of unity, over an arbitrary field.
Near-Optimal Stochastic Bin-Packing in Large Service Systems with Time-Varying Item Sizes
Creators: name: Hong, Yige
name: Xie, Qiaomin
name: Wang, Weina
Publisher: name: arXiv
Year: 2022
Subjects: subject: Performance (cs.PF)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: G.3; I.6; C.4

description: In modern computing systems, jobs' resource requirements often vary over time. Accounting for this temporal variability during job scheduling is essential for meeting performance goals. However, theoretical understanding on how to schedule jobs with time-varying resource requirements is limited. Motivated by this gap, we propose a \emph{new setting} of the stochastic bin-packing problem in service systems that allows for \emph{time-varying} job resource requirements, also referred to as `item sizes' in traditional bin-packing terms. In this setting, a job or `item' must be dispatched to a server or `bin' upon arrival. Its resource requirement may vary over time while in service, following a Markovian assumption. Once the job's service is complete, it departs from the system. Our goal is to minimize the expected number of active servers, or `non-empty bins', in steady state. Under our problem formulation, we develop a job dispatch policy, named Join-Reqesting-Server (JRS). Broadly, JRS lets each server independently evaluate its current job configuration and decide whether to accept additional jobs, balancing the competing objectives of maximizing throughput and minimizing the risk of resource capacity overruns. The JRS dispatcher then utilizes these individual evaluations to decide which server to dispatch each arriving job to. The theoretical performance guarantee of JRS is in the asymptotic regime where the job arrival rate scales large linearly with respect to a scaling factor $r$. We show that JRS achieves an additive optimality gap of $O(\sqrt{r})$ in the objective value, where the optimal objective value is $Θ(r)$. When specialized to constant job resource requirements, our result improves upon the state-of-the-art $o(r)$ optimality gap. Our technical approach highlights a novel policy conversion framework that reduces the policy design problem into a single-server problem.
description: 46 pages, 2 figures
DataverseEU. Repository system for (emerging) Service Providers
Creators: name: Tykhonov, Vyacheslav
Publisher: name: Zenodo
Year: 2018

description: One of the projects for 2018 within the Consortium of European Social Science Data Archives (CESSDA ERIC) is the DataverseEU project. The aim of the project is to develop a service for CESSDA Service Providers, based on the Dataverse software developed by the Harvard Institute for Quantitative Social Science (IQSS), that would be adjusted to the needs of the CESSDA community, especially small and/or emerging archives. To fulfill this, additional functionalities of the Dataverse software are planned to be developed within the project. Project activities in 2018 include the installation of the software using a Docker container on the CESSDA cloud platform, the enhancement of the system to enable connection with a chosen Persistent Identifier (PID) provider, the development of an API for the CESSDA Controlled Vocabularies, Topic Classification, European Language Social Science Thesaurus (ELSST), and the development of a multilingual user interface. Activities in 2019 are aiming to expand the metadata fields towards the DDI lifecycle, to develop different interfaces for national long-term preservation solutions and more.

Project partners are: ADP (Slovenia), AUSSDA (Austria), DANS (the Netherlands), GESIS (Germany), SND (Sweden) and TARKI (Hungary).

The project will be partly continued in the SSHOC (Social Sciences & Humanities Open Cloud) project.
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator
Creators: name: Duan, Jingliang
name: Cao, Wenhan
name: Zheng, Yang
name: Zhao, Lin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The convergence of policy gradient algorithms in reinforcement learning hinges on the optimization landscape of the underlying optimal control problem. Theoretical insights into these algorithms can often be acquired from analyzing those of linear quadratic control. However, most of the existing literature only considers the optimization landscape for static full-state or output feedback policies (controllers). We investigate the more challenging case of dynamic output-feedback policies for linear quadratic regulation (abbreviated as dLQR), which is prevalent in practice but has a rather complicated optimization landscape. We first show how the dLQR cost varies with the coordinate transformation of the dynamic controller and then derive the optimal transformation for a given observable stabilizing controller. At the core of our results is the uniqueness of the stationary point of dLQR when it is observable, which is in a concise form of an observer-based controller with the optimal similarity transformation. These results shed light on designing efficient algorithms for general decision-making problems with partially observed information.
description: arXiv admin note: substantial text overlap with arXiv:2201.09598
Grammars over the Lambek Calculus with Permutation: Recognizing Power and Connection to Branching Vector Addition Systems with States
Creators: name: Pshenitsyn, Tikhon
Publisher: name: arXiv
Year: 2022
Subjects: subject: Formal Languages and Automata Theory (cs.FL)
subject: Logic (math.LO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: In (Van Benthem, 1991) it is proved that all permutation closures of context-free languages can be generated by grammars over the Lambek calculus with the permutation rule (LP-grammars); however, to our best knowledge, it is not established whether the converse holds or not. In this paper, we show that LP-grammars are equivalent to linearly-restricted branching vector addition systems with states and with additional memory (shortly, lBVASSAM), which are modified branching vector addition systems with states. Then an example of such an lBVASSAM is presented, which generates a non-semilinear set of vectors; this yields that LP-grammars generate more than permutation closures of context-free languages. Moreover, equivalence of LP-grammars and lBVASSAM allows us to present a normal form for LP-grammars and, as a consequence, prove that LP-grammars are equivalent to LP-grammars without product. Finally, we prove that the class of languages generated by LP-grammars is closed under intersection.
Observation of Multi‐Directional Energy Transfer in a Hybrid Plasmonic–Excitonic Nanostructure
Creators: name: Pincelli, Tommaso
name: Vasileiadis, Thomas
name: Dong, Shuo
name: Beaulieu, Samuel
name: Dendzik, Maciej
name: Zahn, Daniela
name: Lee, Sang‐Eun
name: Seiler, Hélène
name: Qi, Yingpeng
name: Xian, R. Patrick
name: Maklar, Julian
name: Coy, Emerson
name: Mueller, Niclas S.
name: Okamura, Yu
name: Reich, Stephanie
name: Wolf, Martin
name: Rettig, Laurenz
name: Ernstorfer, Ralph
Publisher: name: Technische Universität Berlin
Year: 2023
Subjects: subject: 600 Technik, Medizin, angewandte Wissenschaften::660 Chemische Verfahrenstechnik::660 Chemische Verfahrenstechnik
subject: 2D semiconductors
subject: femtosecond electron diffraction
subject: hybrid plasmonics
subject: interfacial charge transfer
subject: light–matter interactions

description: Hybrid plasmonic devices involve a nanostructured metal supporting localized surface plasmons to amplify light–matter interaction, and a non‐plasmonic material to functionalize charge excitations. Application‐relevant epitaxial heterostructures, however, give rise to ballistic ultrafast dynamics that challenge the conventional semiclassical understanding of unidirectional nanometal‐to‐substrate energy transfer. Epitaxial Au nanoislands are studied on WSe2 with time‐ and angle‐resolved photoemission spectroscopy and femtosecond electron diffraction: this combination of techniques resolves material, energy, and momentum of charge‐carriers and phonons excited in the heterostructure. A strong non‐linear plasmon–exciton interaction that transfers the energy of sub‐bandgap photons very efficiently to the semiconductor is observed, leaving the metal cold until non‐radiative exciton recombination heats the nanoparticles on hundreds of femtoseconds timescales. The results resolve a multi‐directional energy exchange on timescales shorter than the electronic thermalization of the nanometal. Electron–phonon coupling and diffusive charge‐transfer determine the subsequent energy flow. This complex dynamics opens perspectives for optoelectronic and photocatalytic applications, while providing a constraining experimental testbed for state‐of‐the‐art modelling.
title: Sustainable estimation of parameters and covariation of disturbance vectors in uncertain systems
Creators: name: Igamberdiyev, H.Z.
name: Mamirov, U.F.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2018

description: Algorithms for the formation of a procedure for the stable estimation of parameters matrices and covariances of perturbation vectors in indefinite dynamic systems based on the concepts of matrix pseudo-inversion are given. For stable pseudo-inversion, the matrix partitioning method is used using simplified regularization. The above algorithms allow for a stable estimation of the matrix of parameters and covariances of the perturbation vectors in dynamic systems and thereby increase the accuracy of adaptive control systems operating in parametric and signal uncertainty conditions.
Dataverse as a Single Source of Truth in a DDI-Compliant Environment
Creators: name: Agren, Quentin
name: Dellac, Simon
name: Michaud, Geneviève
name: Mougin, Romain
name: Rouxel, Baptiste
Publisher: name: Zenodo
Year: 2018

description: At the Center for Socio-Political Data of Sciences Po, DDI-documented data is published on several repositories. The publication workflow is not user-friendly for the data managers, as it has several entry points and duplicated processes. Additionally, there is an important risk of having platform-dependent versions.

In order to preserve the system’s consistency and integrity, a Single Source of Truth (SSOT) is needed.

To solve this problem, we designed a new infrastructure and workflow, coherent and interoperable by design, and compliant with both DDI and the FAIR principles. We focused on a flexible, upgradable infrastructure. After a thorough review of available solutions, we opted for a Dataverse repository as our SSOT. We are currently in the process of building a tailor-made data ecosystem, through the use of APIs querying our single repository.

This presentation will focus on the processes and technologies used to set up this viable DDI-compliant platform and on the reasons for choosing this solution.
title: http://uzscite.uz/articles/cloud-system-of-pilot-production-management-based-on-internet-of-things/
Creators: name: Ovsiannikov Michail, V.
name: Podkopaev Serguey, A.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2018

description: Some theoretical background of Industrial Internet and Cloud Computing opening new era in industrial automation is considered. A prototype of cloud system for IoT-enabled production management is presented. Its first version is based on Denford’s equipment for manufacturing education and SAP HANA Cloud Platform. Main functions of cloud production management system are discussed. An architecture of «Denford-BMSTU» CIM system is shown. Basic components of SAP HCP are analyzed to clarify its implementation. Communication protocols between CIM devices and cloud platform are noticed. Examples of dispatching production rules are given.
BANKERS PERCEPTION TOWARDS THE IMPACT OF BANK SPECIFIC FACTORS ON NON PERFORMING LOANS IN UNITED BANK S.C.
Creators: name: ENDASHAW DESALEGN W/TSADIK
Publisher: name: Zenodo
Year: 2015

description: The study tries to examine the impact of factors affecting non-performing loans in the case of United Bank S.C. one of the major components of bank’s assets is loans and advances. Failure to manage loans, which make up the lion’s share of banks assets, would likely lead to the occurrence of high level of non-performing loan. In this regard NBE sets the threshold at 5%.Hence;the broad objective of the study was to assess bank specific factors of NPL in the case of United Bank S.C. Based on this broad objective, a number of specific objectives were developed. Some of the specific objectives were to identify the relationship between non-performing loan and loan growth, interest rate, credit terms, credit policy & culture, collateral, credit monitoring & risk assessment, operational efficiency, and other related objectives. In order to undertake the research both primary and secondary data was used. Primary data was collected through structured questionnaire and interview. The total population was 252 and only 103 were taken as a sample using stratified random sampling. Secondary data were collected from Provisioning report and Audited Financial statement.
The Light Curve Shapes as a Key to Resolving the Origin of Long Secondary Periods in Red Giant Stars
Creators: name: Soszynski, I.
name: Udalski, A.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present a study of OGLE light curves of red giant stars exhibiting long secondary periods (LSPs) - an enigmatic phenomenon commonly observed in stars on the upper red giant branch and asymptotic giant branch. We show that the light curves of LSP stars are essentially identical to those of the spotted variables with one dark spot on their photospheres. Such a behavior can be explained by a presence of a dusty cloud orbiting the red giant together with a low-mass companion in a close, circular orbit. We argue that the binary scenario is in agreement with most of the observational properties of LSP variables, including non-sinusoidal shapes of their radial velocity curves.
description: 7 pages, 7 figures, accepted for publication in ApJ
400 kHz repetition rate THz-TDS with 24 mW of average power driven by a compact industrial Yb-laser
Creators: name: Millon, Celia
name: Houver, Sarah
name: Saraceno, Clara J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We demonstrate a high average power terahertz time-domain (THZ-TDS) spectrometer based on optical rectification in the tilted-pulse front geometry in lithium niobate at room temperature, driven by a commercial, industrial femtosecond-laser operating with flexible repetition rate between 40 kHz - 400 kHz. The driving laser provides a pulse energy of 41 uJ for all repetition rates, at a pulse duration of 310 fs, allowing us to explore repetition rate dependent effects in our TDS. At the maximum repetition rate of 400 kHz, up to 16.5 W of average power are available to drive our THz source, resulting in a maximum of 24 mW of THz average power with a conversion efficiency of ~ 0.15 % and electric field strength of several tens of kV/cm. At the other available lower repetition rates, we show that the pulse strength and bandwidth of our TDS is unchanged, showing that the THz generation is not affected by thermal effects in this average power region of several tens of watts. The resulting combination of high electric field strength with flexible and high repetition rate is very attractive for spectroscopy, in particular since the system is driven by an industrial, compact laser without the need for external compressors or other specialized pulse manipulation.
New asteroseismic scaling relations based on Hayashi track relation applied to red-giant branch stars in NGC 6791 and NGC 6819
Creators: name: Wu, Tao
name: Li, Yan
name: Hekker, Saskia
Publisher: name: arXiv
Year: 2013
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Stellar mass $M$, radius $R$, and gravity $g$ are important basic parameters in stellar physics. Accurate values for these parameters can be obtained from the gravitational interaction between stars in multiple systems or from asteroseismology. Stars in a cluster are thought to be formed coevally from the same interstellar cloud of gas and dust. The cluster members are therefore expected to have some properties in common. These common properties strengthen our ability to constrain stellar models and asteroseismically derived $M$, $R$ and $g$ when tested against an ensemble of cluster stars. Here we derive new scaling relations based on a relation for stars on the Hayashi track ($\sqrt{T_{\rm eff}} \sim g^pR^q$) to determine the masses and metallicities of red giant branch stars in open clusters NGC 6791 and NGC 6819 from the global oscillation parameters $Δν$ (the large frequency separation) and $ν_{\rm max}$ (frequency of maximum oscillation power). The $Δν$ and $ν_{\rm max}$ values are derived from \kepler\ observations. From the analysis of these new relations we derive: (1) direct observational evidence that the masses of red giant branch stars in a cluster are the same within their uncertainties, (2) new methods to derive $M$ and $z$ of the cluster in a self consistent way from $Δν$ and $ν_{\rm max}$, with lower intrinsic uncertainties, (3) the mass dependence in the $Δν$ - $ν_{\rm max}$ relation for red giant branch stars.
description: open clusters and associations: individual (NGC 6791, NGC 6819) -- stars: late-type -- stars: fundamental parameters -- stars: interiors -- stars: oscillations -- asteroseismology
title: Construction of fuzzy risk assessment models
Creators: name: Bekmuratov, T.F.
name: Solieva, B.T.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2018

description: The tasks of making decisions on risk assessment, depending on the conditions of uncertainty, are divided into two types: decision-making tasks under conditions where the initial data are stochastic; decision-making tasks under conditions when the initial data are of a non-stochastic nature, and the necessary confidence limits for the parameters of the processes under investigation are unknown or unclear. In problems of the second type, risks are manifested to a greater extent than the first, since in solving problems it is necessary to take into account not only statistical uncertainty, but also linguistic. At the same time, one should consider risk as information uncertainty and fuzziness of the system and its individual elements. The measure of this uncertainty determines the measure of danger, possible damage, loss from the realization of some decision or event. Proceeding from this, it is necessary to allocate the basic property of risk: the risk takes place only in relation to the future and is inseparably connected with forecasting, and hence with decision-making on risk assessment. In the article the construction of soft risk assessment models based on fuzzy inference rules and neural networks have been discussed for learning fuzzy knowledge bases. The essence of training is in the selection of such parameters of membership functions that minimize the difference between the results of neuron-fuzzy approximation and the actual behavior of the object.
Language, the Reader and Social Critique in Contemporary Visual and Digital Poetry
Creators: name: Santos, Ana Amélia Rodrigues dos
Publisher: name: University of Leicester
Year: 2023
Subjects: Uncategorized

description: The project investigates challenges imposed by visual and digital poetry in our preconceptions about language and some of our normative social attitudes, redefining the role of the reader in the experience of poetry. The research starts from an examination of the use of language in modern and contemporary visual and digital poetry. It maps out poetic innovations that involved a process of materialising and motivating language throughout the twentieth century and examines the impact of new technologies on the transition from print to digital poetry and on the reading process. Working with close reading and poststructuralist approaches, the project examines a corpus of contemporary visual and digital poetry, developing a holistic approach that considers not only self-reflexive uses of languages but also the critical interaction with social discourses. The analysis is grounded in a detailed understanding of the poetic composition, including their intermedial and intertextual components, and the reader interaction. The main corpus is composed of the visual poems “Woman” and “Viole(n)t” by Kathy S. Ernst, “Nome” and “Não tem que” by Arnaldo Antunes, and Eunoia and “Odalisques” by Christian Bök; and the digital poems “Amor de Clarice” and “Poemas no meio do caminho” by Rui Torres, and “Game game game and again game” and “A nervous system” by Jason Nelson.
Strong Photoluminescence Enhancement of MoS2 through Defect Engineering and Oxygen Bonding
Creators: name: Nan, Haiyan
name: Wang, Zilu
name: Wang, Wenhui
name: Liang, Zheng
name: Lu, Yan
name: Chen, Qian
name: He, Daowei
name: Tan, Pingheng
name: Miao, Feng
name: Wang, Xinran
name: Wang, Jinlan
name: Ni, Zhenhua
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We report on a strong photoluminescence (PL) enhancement of monolayer MoS2 through defect engineering and oxygen bonding. Micro- PL and Raman images clearly reveal that the PL enhancement occurs at cracks/defects formed during high temperature vacuum annealing. The PL enhancement at crack/defect sites could be as high as thousands of times after considering the laser spot size. The main reasons of such huge PL enhancement include: (1) the oxygen chemical adsorption induced heavy p doping and the conversion from trion to exciton; (2) the suppression of non-radiative recombination of excitons at defect sites as verified by low temperature PL measurements. First principle calculations reveal a strong binding energy of ~2.395 eV for oxygen molecule adsorbed on an S vacancy of MoS2. The chemical adsorbed oxygen also provides a much more effective charge transfer (0.997 electrons per O2) compared to physical adsorbed oxygen on ideal MoS2 surface. We also demonstrate that the defect engineering and oxygen bonding could be easily realized by oxygen plasma irradiation. X-ray photoelectron spectroscopy further confirms the formation of Mo-O bonding. Our results provide a new route for modulating the optical properties of two dimensional semiconductors. The strong and stable PL from defects sites of MoS2 may have promising applications in optoelectronic devices.
description: 23 pages, 9 figures, to appear in ACS Nano
DDI R-UI: a tool for describing data in R
Creators: name: Scisci, Domingo
Publisher: name: Zenodo
Year: 2018

description: DDI R-UI (provisional name) is a graphical interface to document data inside R, based on the DDI (Codebook) standard. Such tool can take advantage of the power of R software and its packages in describing, managing and visualising statistical data. The Italian SSDA UniData has been managing its data archiving workflow with the R software for several years, so the DDI R-UI can meet the need of documenting data directly within the same environment. Why R? Because it's open, it's free, it's easy to expand (new tools can be packaged to ease the installation and update) and tailor to its own needs, no any additional software/server installation is required, and it can be used both in local and remote environments. At EDDI18 an early implementation of DDI R-UI is presented, that includes the following features: metadata in multiple languages, controlled vocabularies, export in XML format, and export in JSON format for publication in Dataverse. Although DDI R-UI has been created for the specific needs of UniData, it is thought that it can be easily adapted for its use in other small and/or low-resource archives. Lastly, some ideas for further development of the tool will be presented.
Autômatos celulares aplicados à modelagem de propagação de incêndios no bioma cerrado brasileiro
Creators: name: Araújo Lima, Danielli
name: Castro Brasiel, Heitor
Publisher: name: figshare
Year: 2023
Subjects: Conservation and biodiversity
Natural resource management

description: O trabalho proposto levou em consideração um problema que vem ocorrendo com bastante frequência no bioma Cerrado brasileiro que é a queimada. Podendo ser ocasionada intencionalmente pelo ser humano ou por fenômenos naturais como raios, ela causa muitos danos para o ambiente destruindo a fauna e a flora daquele local. Pensando nisso, foi desenvolvido um modelo computacional baseado em autômato celular (AC) e inteligência artificial (IA) para simular um ambiente real por meio de um software no qual é possível prever qual será o comportamento do fogo que se inicia em um local pré-determinado e se espalha por um período (t), discreto no tempo e espaço. Esse programa pode ser utilizado por qualquer corporação que tenha como missão auxiliar no combate ao incêndio, como, por exemplo, o corpo de bombeiros, de forma que consigam diminuir os danos causados pelo incêndio e tornar o combate ao fogo mais eficaz. Uma vez que, conseguem criar estratégias baseadas no comportamento probabilístico do espalhamento do fogo de acordo com o tipo de vegetação, umidade, relevo, velocidade do vento, entre outros fatores. Para simular este ambiente foi desenvolvido um modelo baseado em AC onde são dadas regras matemáticas para ordenar sua evolução no tempo gerando resultados mais precisos. Para a implementação foi escolhido inicialmente a Linguagem C Padrão, por ser uma linguagem mais acessível, com maior poder de processamento e maior velocidade. Essa linguagem possibilitou escrever a lógica do modelo de IA e simulá-lo através de uma interface gráfica de um ambiente de simulação pelo próprio computador. A programação usou como base uma matriz[3][3], ou seja, uma célula central com 8 vizinhas, onde o estado dessa célula central muda de acordo com o seu próprio estado atual e o estado das suas vizinhas. Cada vez que ocorre uma nova iteração, uma nova matriz é criada e a matriz original deve ser atualizada. No segundo momento da pesquisa, para que pudesse obter uma modelagem mais realista, passamos a utilizar a linguagem para Javascript. O software desenvolvido funcionou como esperado e foi possível detectar a grande diferença de espalhamento entre vegetações mais úmidas e mais secas.
Weyl asymptotics for fractional-order Dirichlet realizations in nonsmooth cases
Creators: name: Grubb, Gerd
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: Functional Analysis (math.FA)
subject: Spectral Theory (math.SP)
subject: FOS: Mathematics
subject: 35S15, 47G30, 35J25, 60G51

description: Let $P$ be a symmetric $2a$-order classical strongly elliptic pseudodifferential operator with even symbol $p(x,ξ)$ on $R^n$ ($0
description: Minor adjustments, 19 pages, pages, to appear in Mathematica Scandinavica
Remarks on Bianchi sums and Pontrjagin classes
Creators: name: Labbi, Mohammed Larbi
Publisher: name: arXiv
Year: 2014
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C20, 53B20

description: We use the exterior and composition products of double forms together with the alternating operator to reformulate Pontrjagin classes and all Pontrjagin numbers in terms of the Riemannian curvature. We show that the alternating operator is obtained by a succession of applications of the first Bianchi sum and we prove some useful identities relating the previous four operations on double forms. As an application, we prove that for a $k$-conformally flat manifold of dimension $n\geq 4k$, the Pontrjagin classes $P_i$ vanish for any $i\geq k$. Finally, we study the equality case in an inequality of Thorpe between the Euler-Poincaré charateristic and the $k$-th Pontrjagin number of a $4k$-dimensional Thorpe manifold.
description: 19 pages