cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Electronic Quantum Coherence in Glycine Molecules Probed with Ultrashort X-ray Pulses in Real Time
Creators: name: Schwickert, David
name: Ruberti, Marco
name: Kolorenč, Přemys
name: Usenko, Sergey
name: Przystawik, Andreas
name: Baev, Karolin
name: Baev, Ivan
name: Braune, Markus
name: Bocklage, Lars
name: Czwalinna, Marie Kristin
name: Deinert, Sascha
name: Düsterer, Stefan
name: Hans, Andreas
name: Hartmann, Gregor
name: Haunhorst, Christian
name: Kuhlmann, Marion
name: Palutke, Steffen
name: Röhlsberger, Ralf
name: Rönsch-Schulenburg, Juliane
name: Schmidt, Philipp
name: Toleikis, Sven
name: Viefhaus, Jens
name: Martins, Michael
name: Knie, André
name: Kip, Detlef
name: Averbukh, Vitali
name: Marangos, Jon P.
name: Laarmann, Tim
Publisher: name: arXiv
Year: 2020
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum coherence between electronic states of a photoionized molecule and the resulting process of ultrafast electron-hole migration have been put forward as a possible quantum mechanism of charge-directed reactivity governing the photoionization-induced molecular decomposition. Attosecond experiments based on the indirect (fragment ion-based) characterization of the proposed electronic phenomena suggest that the photoionization-induced electronic coherence can survive for tens of femtoseconds, while some theoretical studies predict much faster decay of the coherence due to the quantum uncertainty in the nuclear positions and the nuclear-motion effects. The open questions are: do long-lived electronic quantum coherences exist in complex molecules and can they be probed directly, i.e. via electronic observables? Here, we use x-rays both to create and to directly probe quantum coherence in the photoionized amino acid glycine. The outgoing photoelectron wave leaves behind a positively charged ion that is in a coherent superposition of quantum mechanical eigenstates lying within the ionizing pulse spectral bandwidth. Delayed x-ray pulses track the induced coherence through resonant x-ray absorption that induces Auger decay and by the photoelectron emission from sequential double photoionization. Sinusoidal temporal modulation of the detected signal at early times (0 - 25 fs) is observed in both measurements. Advanced ab initio many-electron simulations, taking into account the quantum uncertainty in the nuclear positions, allow us to explain the first 25 fs of the detected coherent quantum evolution in terms of the electronic coherence.
description: 61 pages, 12 figures
D5.1 STADIEM WEBSITE
Creators: name: Disperati, Galileo
name: Trestini, Margherita
name: Peeters, Nikki
name: Matton, Mike
Publisher: name: Zenodo
Year: 2020
Subjects: Website, Internet, Communication & Dissemination

description:
 This document provides the rationale behind the STADIEM website, the technical solutions adopted for its implementation and the methodology for the results assessment.
MULTISCALE EDGE DETECTION USING WAVELET TRANSFORM COMPARED TO OTHER METHODOLOGIES
Creators: name: Tawfik, Benbella S.
name: Gazzar, Mohamed El
Publisher: name: figshare
Year: 2022
Subjects: subject: 80602 Computer-Human Interaction
subject: FOS: Psychology
subject: 170201 Computer Perception, Memory and Attention
subject: 80103 Computer Graphics
subject: FOS: Computer and information sciences
subject: 80104 Computer Vision
subject: Applied Computer Science
subject: Theoretical Computer Science
subject: 80302 Computer System Architecture
subject: Computer Engineering
subject: Computer Software
subject: 80399 Computer Software not elsewhere classified
subject: 100699 Computer Hardware not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 80303 Computer System Security
subject: 100503 Computer Communications Networks

description: This work presents the properties of multiscale edges through the wavelet theory. For pattern recognition, one often needs to discriminate different types of edges. Wavelets are mathematical functions that cut up data into different frequency components, and study each component with a resolution matched to its scale. Wavelets are an extremely useful tool for coding images and other real signals; because the wavelet transform is local in both time (space) and frequency, it localizes information very well compared to other transforms. It is shown that the evolution of wavelet local maxima across scales characterize the local shape of irregular structures. Numerical descriptors of edge types are derived. The completeness of a multiscale edge representation is also studied. The wavelet transformation has been proved to be a very promising technique for the multiscale edge detection applied both to 1-D and 2-D signals. The dyadic wavelet transforms at two adjacent scales are multiplied as a product function to magnify the edge structures and suppress the noise. One determined the edges as the local maxima directly in the scale product after an efficient thresholding. One showed that the classical edge detectors work fine with high-quality pictures, but often are not good enough for noisy pictures because they cannot distinguish edges of different significance. This work also deals with the edge detection of noisy images and the optimization of the wavelets for edge detection.The dyadic wavelet transforms at two adjacent scales are multiplied as a product function to magnify the edge structures and suppress the noise.In this work one has developed an algorithm for the multiscale wavelet edge detection and compared between the output from obtaining canny edge detector to theimages and the results are tabulated.Finally one discussed the effect of adding noise or blurred to the image, and applied that to the proposed model and other classical edge detectors.(We take canny, sobel as an example), Finally, it is concluded that the proposed model gives a better edge detection (High number of edge points), The lower the scale the higher number of edge points.
The qualocation method for Symm's integral equation on a polygon
Creators: name: Elschner, Johannes
name: Prössdorf, Siegfried
name: Sloan, Ian H.
Publisher: name: Weierstrass Institute
Year: 1994
Subjects: subject: First kind boundary integral equation
subject: qualocation method
subject: nonlinear parametrization
subject: Mellin convolution operator
subject: superconvergence
subject: 65R20
subject: 45B05

description: This paper discusses the convergence of the qualocation method for Symm's integral equation on closed polygonal boundaries in ℝ2 . Qualocation is a Petrov-Galerkin method in which the outer integrals are performed numerically by special quadrature rules. Before discretisation a nonlinear parametrisation of the polygon is introduced which varies more slowly than arc-length near each corner and leads to a transformed integral equation with a regular solution. We prove that the qualocation method using smoothest splines of any order k on a uniform mesh (with respect to the new parameter) converges with optimal order O(hk ). Furthermore, the method is shown to produce superconvergent approximations to linear functionals, retaining the same high convergence rates as in the case of a smooth curve.
Role of mesoscale eddies in transport of Fukushima-derived cesium isotopes in the ocean
Creators: name: Budyansky, M. V.
name: Goryachev, V. A.
name: Kaplunenko, D. D.
name: Lobanov, V. B.
name: Prants, S. V.
name: Sergeev, A. F.
name: Shlyk, N. V.
name: Uleysky, M. Yu.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Physical sciences

description: We present the results of in-situ measurements of $^{134}$Cs and $^{137}$Cs released from the Fukushima Nuclear Power Plant (FNPP) collected at surface and different depths in the western North Pacific in June and July 2012. It was found that 15 month after the incident concentrations of radiocesium in the Japan and Okhotsk seas were at background or slightly increased level, while they had increased values in the subarctic front area east of Japan. The highest concentrations of $^{134}$Cs and $^{137}$Cs up to 13.5 ${\pm}$ 0.9 and 22.7 ${\pm}$ 1.5 Bq m$^{-3}$ have been found to exceed ten times the background levels before the accident. Maximal content of radiocesium was observed within subsurface and intermediate water layers inside the cores of anticyclonic eddies (100 - 500 m). Even slightly increased content of radiocesium was found at some eddies at depth of 1000 m. It is expected that convergence and subduction of surface water inside eddies are main mechanisms of downward transport of radionuclides. In situ observations are compared with the results of simulated advection of these radioisotopes by the AVISO altimetric velocity field. Different Lagrangian diagnostics are used to reconstruct the history and origin of synthetic tracers imitating measured seawater samples collected in each of those eddies. The results of observations are consistent with the simulated results. It is shown that the tracers, simulating water samples with increased radioactivity to be measured in the cruise, really visited the areas with presumably high level of contamination. Fast water advection between anticyclonic eddies and convergence of surface water inside eddies make them responsible for spreading, accumulation and downward transport of cesium rich water to the intermediate depth in the frontal zone.
Omogenitorialità sociale e pluralismo dei modelli familiari in Europa
Creators: name: Mendola, Angela
Publisher: name: Universita' degli Studi di Salerno
Year: 2021
Subjects: Social parenthood
Social homogenitoriality
State of filiation

description: Defining “family” is an extremely complex task, since no longer only the traditional, institutional, orderly one can be referred to as such, but also the “family relationships”, i.e. any group based on consent that constitutes a “continuum” of life, affection, intention and cohabitation, within which each member fully realizes his own personality. Therefore, the genetic origin no longer constitutes an essential requirement of the family, being also affirmed the legal significance of the so-called “social parenthood”, which, in a homosexual context, coincides with that of the biological parent’s partner who has established a consolidated emotional relationship with the child. However, the issue of social homogenitoriality does not find a univocal answer in the various European countries and is indeed heterogeneously outlined by each one. The effect to be avoided is that the condition of the children ends up being prejudiced as deprived of the right to have two parents, being able to find themselves, due to the loss of the biological one, also in a condition of adoptability, or even in a different state of filiation according to the regulatory system of reference, with clear violation of the principle of equality, understood as equal social dignity of all citizens and prohibition of legislative differentiations based on personal and social conditions.
Co-Training Realized Volatility Prediction Model with Neural Distributional Transformation
Creators: name: Du, Xin
name: Moriyama, Kai
name: Tanaka-Ishii, Kumiko
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Statistical Finance (q-fin.ST)
subject: FOS: Computer and information sciences
subject: FOS: Economics and business

description: This paper shows a novel machine learning model for realized volatility (RV) prediction using a normalizing flow, an invertible neural network. Since RV is known to be skewed and have a fat tail, previous methods transform RV into values that follow a latent distribution with an explicit shape and then apply a prediction model. However, knowing that shape is non-trivial, and the transformation result influences the prediction model. This paper proposes to jointly train the transformation and the prediction model. The training process follows a maximum-likelihood objective function that is derived from the assumption that the prediction residuals on the transformed RV time series are homogeneously Gaussian. The objective function is further approximated using an expectation-maximum algorithm. On a dataset of 100 stocks, our method significantly outperforms other methods using analytical or naive neural-network transformations.
description: Accepted at ICAIF'23
DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning
Creators: name: Ahmetoglu, Alper
name: Seker, M. Yunus
name: Piater, Justus
name: Oztop, Erhan
name: Ugur, Emre
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: We propose a novel general method that finds action-grounded, discrete object and effect categories and builds probabilistic rules over them for non-trivial action planning. Our robot interacts with objects using an initial action repertoire that is assumed to be acquired earlier and observes the effects it can create in the environment. To form action-grounded object, effect, and relational categories, we employ a binary bottleneck layer in a predictive, deep encoder-decoder network that takes the image of the scene and the action applied as input, and generates the resulting effects in the scene in pixel coordinates. After learning, the binary latent vector represents action-driven object categories based on the interaction experience of the robot. To distill the knowledge represented by the neural network into rules useful for symbolic reasoning, a decision tree is trained to reproduce its decoder function. Probabilistic rules are extracted from the decision paths of the tree and are represented in the Probabilistic Planning Domain Definition Language (PPDDL), allowing off-the-shelf planners to operate on the knowledge extracted from the sensorimotor experience of the robot. The deployment of the proposed approach for a simulated robotic manipulator enabled the discovery of discrete representations of object properties such as `rollable' and `insertable'. In turn, the use of these representations as symbols allowed the generation of effective plans for achieving goals, such as building towers of the desired height, demonstrating the effectiveness of the approach for multi-step object manipulation. Finally, we demonstrate that the system is not only restricted to the robotics domain by assessing its applicability to the MNIST 8-puzzle domain in which learned symbols allow for the generation of plans that move the empty tile into any given position.
description: To appear in JAIR
Open Science in Horizon Europe. How and (mostly) why.
Creators: name: Dr Elena Giglia
Publisher: name: Zenodo
Year: 2022

description: This presentation is from the CIVICA Research Open Science for the Social Sciences workshop on Open Science in Horizon Europe: how and (mostly) why. New rules apply in Horizon Europe which seek to open up every step of the research process according to the principle "as open as possible, as closed as necessary". Is it only a constraint? The umpteenth administrative burden? Or, both a fair principle, as publicly funded research ought to be publicly available, and a powerful leverage for a more transparent and effective science as COVID-19 clearly showed? In this workshop Dr Elena Giglia (Turin University) set out the reasons, tools and rules to practice Open Science in the daily research workflow. In the second part of the workshop, Professor Guido Alfani and Professor Dirk Hovy, both from Bocconi University, then discussed the practice of Open Science from research experience drawn from their own ERC projects.
 Please visit the CIVICA Research Open Science Youtube channel to view this presentation on Open Science in Horizon Europe: how and (mostly) why.
Conformal superalgebras via tractor calculus
Creators: name: Lischewski, Andree
Publisher: name: arXiv
Year: 2014
Subjects: subject: Differential Geometry (math.DG)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 53B30 "Primary" 53A30 "Secondary"

description: We use the manifestly conformally invariant description of a Lorentzian conformal structure in terms of a parabolic Cartan geometry in order to introduce a superalgebra structure on the space of twistor spinors and normal conformal vector fields formulated in purely algebraic terms on parallel sections in tractor bundles. Via a fixed metric in the conformal class, one reproduces a conformal superalgebra structure which has been considered in the literature before. The tractor approach, however, makes clear that the failure of this object to be a Lie superalgebra in certain cases is due to purely algebraic identities on the spinor module and to special properties of the conformal holonomy representation. Moreover, it naturally generalizes to higher signatures. This yields new formulas for constructing new twistor spinors and higher order normal conformal Killing forms out of existing ones, generalizing the well-known spinorial Lie derivative. Moreover, we derive restrictions on the possible dimension of the space of twistor spinors in any metric signature.
description: 36 pages
“Planos multirriscos para o enfrentamento e resposta às emergências em saúde pública: uma revisão de escopo”.
Creators: name: LIMA, DOUGLAS OLIVEIRA CARMO
Publisher: name: OSF
Year: 2023

description: As Emergências em Saúde Pública (ESP) são situações que demandam o emprego urgente de medidas de prevenção, controle e contenção de riscos, danos e agravos à saúde pública, que podem ocorrer em variados contextos, geralmente acompanhadas de cenários de multirriscos, que demandam planejamento e execução de ações intra e intersetoriais para o seu real enfrentamento. O estudo tem como objetivo revisar a literatura para conhecer os instrumentos utilizados na estruturação de planos multirriscos para a mitigação e resposta às ESP. Trata-se de uma revisão de escopo desenvolvida com base no protocolo e nas recomendações do Joanna Briggs Institute (JBI). As estratégias utilizadas para a busca dos estudos propiciaram a captura de 72 artigos, utilizando os termos “emergencies” or/and “disasters” or/and “Public health” or/and “Multi-risk plans”. Após a leitura dos estudos, 07 foram mantidos para a revisão. Foram incluídos artigos científicos publicados entre janeiro de 2006 e fevereiro de 2023. Foram excluídos os artigos de revisão e estudos que não tinham como objetivo conceituar, apresentar métodos ou discutir planos para responder à ESP, contemplando os multirriscos. Os resultados demonstraram que os instrumentos utilizados na estruturação de planos multirriscos para o enfrentamento e resposta às ESP, ainda apresentam limitações e demandam um maior diálogo intra e intersetorial, além de uma maior governança no tema. Delphi foi o instrumento mais adequado para auxiliar a estruturação dos planos multirriscos para o enfrentamento e resposta às ESP, por apresentar uma abordagem intersetorial que contemple os multirriscos, ser de fácil aplicação e ter os custos reduzidos para colocá-lo em prática. Espera-se que esse estudo seja um precursor de revisões sistemáticas que possam evidenciar a eficácia do uso desses métodos.
Low-Complex Channel Estimation in Extra-Large Scale MIMO with the Spherical Wave Properties
Creators: name: Pu, Xumin
name: Sun, Zhinan
name: Chen, Qianbin
name: Jin, Shi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper investigates the low-complex linear minimum mean squared error (LMMSE) channel estimation in an extra-large scale MIMO system with the spherical wave model (SWM). We model the extra-large scale MIMO channels using the SWM in the terahertz (THz) line-of-sight propagation, in which the transceiver is a uniform circular antenna array. On this basis, for the known channel covariance matrix (CCM), a low-complex LMMSE channel estimation algorithm is proposed by exploiting the spherical wave properties (SWP). Meanwhile, for the unknown CCM, a similar low-complex LMMSE channel estimation algorithm is also proposed. Both theoretical and simulation results show that the proposed algorithm has lower complexity without reducing the accuracy of channel estimation.
description: 9 pages with 3 figures, accepted by Physical Communication
The effective model structure and $\infty$-groupoid objects
Creators: name: Gambino, Nicola
name: Henry, Simon
name: Sattler, Christian
name: Szumiło, Karol
Publisher: name: arXiv
Year: 2021
Subjects: subject: Category Theory (math.CT)
subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: 18N40 (primary), 18N60, 55U10

description: For a category $\mathcal E$ with finite limits and well-behaved countable coproducts, we construct a model structure, called the effective model structure, on the category of simplicial objects in $\mathcal E$, generalising the Kan--Quillen model structure on simplicial sets. We then prove that the effective model structure is left and right proper and satisfies descent in the sense of Rezk. As a consequence, we obtain that the associated $\infty$-category has finite limits, colimits satisfying descent, and is locally Cartesian closed when $\mathcal E$ is, but is not a higher topos in general. We also characterise the $\infty$-category presented by the effective model structure, showing that it is the full sub-category of presheaves on $\mathcal E$ spanned by Kan complexes in $\mathcal E$, a result that suggests a close analogy with the theory of exact completions.
description: 67 pages, reflects the final journal version, two additional minor typos fixed
Appearance of ferromagnetism in Pt(100) ultrathin films originated from quantum-well states
Creators: name: Yamada, Tatsuru
name: Ochiai, Keisuke
name: Kinoshita, Hirofumi
name: Sakuragi, Shunsuke
name: Suzuki, Motohiro
name: Osawa, Hitoshi
name: Kageshima, Hiroyuki
name: Sato, Tetsuya
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Ferromagnetism was observed in a Pt(100) ultrathin film deposited on a SrTiO3(100) substrate. The ferromagnetism, which appears in films with thicknesses of 2.2-4.4 nm, periodically changes with a period of approximately 1 nm (5-6 monolayers) depending on the film thickness. This is consistent with the period derived from the quantum-well states formed in the thin film. X-ray magnetic circular dichroism measurements show the evidence of appearance of intrinsic ferromagnetism in Pt(100) ultra-thin film. In addition, present results suggest a possibility that the orbital magnetic moment of pure Pt is much smaller than that of the Pt/ferromagnetic multilayer system. These results will provide a potential new mechanism for origin of the large magnetic anisotropy in Pt components.
description: 7 pages, 4 figures
Sur le nombre d'idéaux dont la norme est la valeur d'une forme binaire de degré 3
Creators: name: Lartaux, Alexandre
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: Let $\mathbb{K}$ be a cyclic extension of degree $3$ of $\mathbb{Q}$. Take $G={\rm Gal}(\mathbb{K}/ \mathbb{Q})$ and $χ$ the character of a non trivial representation of $G$. In this case, $χ$ is a non principal Dirichlet character of degree $3$ and the quantity $r_3(n)$ defined by $$r_3(n):=\big(1*χ*χ^2\big)(n){\rm ,}$$ counts the number of ideals of $O_{\mathbb{K}}$ of norm $n$. In this paper, using a new result on Hooley's Delta function, we prove an asymptotic estimate, in $ξ$, of the quantity $$Q(ξ,\mathcal{R},F):=\sum\limits_{\boldsymbol{x} \in \mathcal{R}(ξ)}{r_3\big(F(\boldsymbol{x})\big)}{\rm ,}$$ for a binary form $F$ of degree $3$ irreducible over $\mathbb{K}$ and $\mathcal{R}$ a good domain of $\mathbb{R}^2$, with $$\mathcal{R}(ξ):=\Big\{\boldsymbol{x} \in \mathbb{R}^2\;:\: \frac{\boldsymbol{x}}ξ \in \mathcal{R}\Big\}{\rm .}$$ We also give a geometric interpretation of the main constant of the asymptotic estimate when the ring $O_{\mathbb{K}}$ is principal.
description: In French
Poesia e diritto. Il diritto nei poeti e nei giuristi di Roma antica alla luce del pensiero di Federico Maria D'Ippolito
Creators: name: Sanza, Maria Teresa
Publisher: name: Universita degli studi di Salerno
Year: 2018
Subjects: subject: IUS/18 DIRITTO ROMANO E DIRITTI DELL'ANTICHITÀ
subject: Poesia
subject: Diritto

description: 2016 - 2017
description: The research is aimed to highlight some aspects of the history of roman law from the point of view of the relationship between law and poetry, in particular, the law in the poetry of ancient Rome. With this regard, the intent is to go beyond the traditional and technical sources of ancient roman law and to consider other kind of sources in which find ancient institutions or traces of them. The research wants to emphasize the work of the scholars that studied the relationship between poetry and law of the ancient Rome, in particular professor Federico Maria D'Ippolito who thoroughly analyzed this field and discovered the deep flow from poetry to law and viceversa, and their mutual use. The empirical analysis comes from the D'Ippolito's researches about the poet Ennio and the jurist Sesto Elio, with the purpose to study the representations of law in Ennio's poetry and to see the poetic dimension into Sesto Elio's work, Tripertita, in the period of the beginning of the second century b.C. [edited by Author]
Is Fortran Still Relevant? Comparing Fortran with Java and C++
Creators: name: Alam, Shahid
Publisher: name: arXiv
Year: 2014
Subjects: subject: Programming Languages (cs.PL)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: This paper presents a comparative study to evaluate and compare Fortran with the two most popular programming languages Java and C++. Fortran has gone through major and minor extensions in the years 2003 and 2008. (1) How much have these extensions made Fortran comparable to Java and C++? (2) What are the differences and similarities, in supporting features like: Templates, object constructors and destructors, abstract data types and dynamic binding? These are the main questions we are trying to answer in this study. An object-oriented ray tracing application is implemented in these three languages to compare them. By using only one program we ensured there was only one set of requirements thus making the comparison homogeneous. Based on our literature survey this is the first study carried out to compare these languages by applying software metrics to the ray tracing application and comparing these results with the similarities and differences found in practice. We motivate the language implementers and compiler developers, by providing binary analysis and profiling of the application, to improve Fortran object handling and processing, and hence making it more prolific and general. This study facilitates and encourages the reader to further explore, study and use these languages more effectively and productively, especially Fortran.
Grant IDs, IGSN IDs and GAP Innovating for the Future - IGSN more than a label on a box
Creators: name: Klump, Jens
Publisher: name: Zenodo
Year: 2023
Subjects: DataCite Community Meeting 2023
Strategic Initiatives
Open Science
International Generic Sample Number
IGSN ID
IGSN Organization

description: We invite you to learn about DataCite's strategic initiatives and the role we are playing in driving these initiatives in collaboration with community stakeholders. With a commitment to our mission and vision, and together with our community, we are making important steps toward realizing Open Science.
Discover the latest advancements in Grant IDs and IGSN IDs, gain insights into their current status, and explore the benefits of using these persistent identifiers. Moreover, find out about the background and progress of our Global Access Program (GAP), which aims to foster worldwide equitable access to DataCite infrastructures.
Speaker: Jens Klump (Group Leader Exploration Through Cover, CSIRO; President, IGSN e.V.)
A recording of the talk can be found here: https://www.youtube.com/watch?v=RNyjmkD5BFk&t=1275s
title: Country Risk and Stock Market Performance in Africa
titleType: Other
Creators: name: Jalingo, Mubarak
Publisher: name: University of Dundee
Year: 2022

description: Country risk factors have become an important source of systematic and nonsystematic risk in capital markets. Therefore, how to effectively manage country risks has become an increasing concern for researchers and investors. Country risk is a broad and complex subject which financial scholars have studied from many perspectives. This thesis consists of three empirical chapters that focus on examining the impact of country risk on the performance of nine African stock markets over the period 1998 to 2018, namely, Botswana, Egypt, Ghana, Kenya, Morocco, Nigeria, South Africa, Tunisia, and Zambia.

In the first empirical chapter, the long-run relationship and causality between country risk and stock market returns are examined using Pedroni (2004) and the Johansen-Fisher panel cointegration techniques proposed by Madalla and Wu (1999); the Granger causality and Dumitrescu-Hurlin panel causality approaches are also used. The results suggest that long-run relationships and causal linkages exist between country risk and stock market returns.

In the second empirical chapter, the impact of disaggregated country risk factors is investigated using a pooled mean group dynamic panel model. The results indicate that African markets are negatively affected by country risk in the long run. That is, as a group, African markets are significantly impacted by country risk. In particular, a rise in the level of disaggregated elements of country risk for African countries is typically associated with a reduction in the performance of their stock market indices.

Finally, to investigate the extent to which country risk influences the level of stock market linkages in Africa, the thesis studies cross- and own-volatility linkages among African stock markets using the ADCC GARCH model. An analysis of the results reveals evidence that country risk increases the level of stock market volatility and integration in Africa. The evidence supports the notion that ‘country risk’ influences stock returns and volatility in Africa. These findings imply that equity returns in African stock markets are predictable from changes in country risk; this result calls the weak form of the EMH into question since it suggests that an investor could outperform by studying country risk data in the region.
Do open citations give insights on the qualitative peer-review evaluation in research assessments? An analysis of the Italian National Scientific Qualification
Creators: name: Bologna, Federica
name: Di Iorio, Angelo
name: Peroni, Silvio
name: Poggi, Francesco
Publisher: name: arXiv
Year: 2021
Subjects: subject: Digital Libraries (cs.DL)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: In the past, several works have investigated ways for combining quantitative and qualitative methods in research assessment exercises. Indeed, the Italian National Scientific Qualification (NSQ), i.e. the national assessment exercise which aims at deciding whether a scholar can apply to professorial academic positions as Associate Professor and Full Professor, adopts a quantitative and qualitative evaluation process: it makes use of bibliometrics followed by a peer-review process of candidates' CVs. The NSQ divides academic disciplines into two categories, i.e. citation-based disciplines (CDs) and non-citation-based disciplines (NDs), a division that affects the metrics used for assessing the candidates of that discipline in the first part of the process, which is based on bibliometrics. In this work, we aim at exploring whether citation-based metrics, calculated only considering open bibliographic and citation data, can support the human peer-review of NDs and yield insights on how it is conducted. To understand if and what citation-based (and, possibly, other) metrics provide relevant information, we created a series of machine learning models to replicate the decisions of the NSQ committees. As one of the main outcomes of our study, we noticed that the strength of the citational relationship between the candidate and the commission in charge of assessing his/her CV seems to play a role in the peer-review phase of the NSQ of NDs.
A Study on the Determinants of Corn and Wheat Futures Prices: Using Bayesian Model Averaging
Creators: name: Choi, Sujin
name: Choi, Sujin
Publisher: name: Unknown
Year: 2017
Subjects: subject: Marketing
subject: FOS: Economics and business
subject: Research Methods/ Statistical Methods
subject: grains futures market
subject: Bayesian Model Averaging
subject: corn

description: In this paper, we estimated the factors influencing the futures prices of corn and wheat through Bayesian model averaging. Uncertainty in the grains futures price is due to the fact that various factors other than real factors have a probabilistic impact. By using the results of this study and applying probabilistic factors, the ability to forecast grain futures price could be improved. Bayesian model averaging will help increase confidence in price estimates when used with a single model approach.
Advancing Equity, Visibility, and Evaluation for Open Data - Make Data Count
Creators: name: Puebla, Iratxe
Publisher: name: Zenodo
Year: 2023
Subjects: DataCite Community Meeting 2023
Strategic Initiatives
Open Science
Make Data Count
Data Citation
Open Data Metrics

description: We invite you to learn about DataCite's strategic initiatives and how we are driving them forward in collaboration with community stakeholders. With a commitment to our mission and vision, and together with our community, we are making important steps toward realizing Open Science.
Discover the latest advancements of the Make Data Count initiative, and how it seeks to leverage the benefits of data citations to advance evaluation and reward of data reuse. Moreover, find out about the background and progress of our Global Access Program (GAP) and the Global Access Fund (GAF), which aims to foster worldwide equitable access to DataCite infrastructures.
Speaker: Iratxe Puebla (Make Data Count Director, DataCite)
A recording of the talk can be found here: https://www.youtube.com/watch?v=uxH4s7RIJoc&t=48s
Conservative and accurate solution transfer between high-order and low-order refined finite element spaces
Creators: name: Kolev, Tzanio
name: Pazner, Will
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: In this paper we introduce general transfer operators between high-order and low-order refined finite element spaces that can be used to couple high-order and low-order simulations. Under natural restrictions on the low-order refined space we prove that both the high-to-low-order and low-to-high-order linear mappings are conservative, constant preserving and high-order accurate. While the proofs apply to affine geometries, numerical experiments indicate that the results hold for more general curved and mixed meshes. These operators also have applications in the context of coarsening solution fields defined on meshes with nonconforming refinement. The transfer operators for $H^1$ finite element spaces require a globally coupled solve, for which robust and efficient preconditioners are developed. We present several numerical results confirming our analysis and demonstrate the utility of the new mappings in the context of adaptive mesh refinement and conservative multi-discretization coupling.
description: 21 pages, 7 figures
Determinants for the Vegatable Farmers in Participating Cooperative Sales
Creators: name: Yi, Hyangmi
name: Yi, Hyangmi
Publisher: name: Unknown
Year: 2017
Subjects: subject: Agribusiness
subject: Research Methods/ Statistical Methods
subject: joint marketing organization
subject: intention of participating
subject: Cragg Hurdle model

description: In this research, the empirical analysis was conducted for figuring out which factors had the meaningful influence on making decisions for participating in a joint marketing organization, by utilizing the Cragg Hurdle model. The important outcomes of the analysis are as follows. First, it was figured out that each of the factors influencing the intention of participating in the joint marketing organization had somewhat different correlation for each one. For example, if farming families have a rather long experience of farming and if they have wide areas of cultivation, the intention of the participation decreased. Secondly, if we look at the factors influencing the degree of participating in the joint marketing organization, it was analyzed that if the farming families got much farming education, and if they were less educated (not well educated), they have high intention of participating in the joint marketing organization.
Routing Selection in Mobile ad hoc Network using Soft Computing Approaches
Creators: name: Tawfik, Benbella S.
name: Ramadan, Hany
name: Riad, Alaa El Din M.
Publisher: name: figshare
Year: 2022
Subjects: subject: 80602 Computer-Human Interaction
subject: FOS: Psychology
subject: 80104 Computer Vision
subject: FOS: Computer and information sciences
subject: 80103 Computer Graphics
subject: 170201 Computer Perception, Memory and Attention
subject: 80302 Computer System Architecture
subject: Applied Computer Science
subject: Computer Software
subject: 80399 Computer Software not elsewhere classified
subject: Computer Engineering
subject: 80503 Networking and Communications
subject: 100503 Computer Communications Networks
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Routing in the mobile ad hoc network (MANET) is a challenging task and has received a great amount of attention from researchers. This paper introduces an exact reference routing model to find the shortest path (optimum route). This model is a conventional combinatorial that selects the shortest route from all possible routes. To demonstrate the use of this reference model for comparison a second model is selected which is a modified ant colony optimisation (ACO). The good selection of the heuristic parameters of the ACO mode increases its matching degree with the reference one. Therefore, a training pre-processing phase is added to select the best parameters for ACO model. The two models are compared using four different criteria. These criteria are the execution time, energy consumption, the total cost, and the network lifetime. A simulation experiment is performed, and the results show that the modified ant colony algorithm is superior in execution time but consumed more energy than the reference combinatorial and its total cost is greater than or equal to the other one. The lifetime analysis shows that the reference model has better lifetime than the modified ACO model.
title: Leaders' concealable stigmatized identities: employee attitueds following workplace disclosure
Creators: name: Hancock, Amanda J.
Publisher: name: Memorial University of Newfoundland
Year: 2022

description: The intersection of organizational leadership and concealable stigmatized identities has not received adequate scholarly attention. In practice, leaders seem to disclose minority identities at a rate that exceeds research and theory. Idealist and conceptual perspectives have suggested such disclosures will be met with positive outcomes, but emerging empirical investigations of the phenomena suggest this is not always the case. Three studies were conducted to investigate the consequences of disclosing a leader’s concealable stigmatized identity from the employee’s perspective. Study 1 is a mixed methods, time-lagged survey of full-time employees (N = 326). Thematic analysis of 53 participants’ interpretations of the downward disclosure experience reveals important contextual similarities and differences with same status disclosures. Employees interpreted the discloser’s motivation as largely approach-focused (relationship development, establishing trust, self-verification, reactance), with some evidence of negative attributions of the discloser’s motivation (gossip, disgust). Testing a parallel mediation model illustrates that mental illness disclosures negatively predict employee perceptions of leader intelligence and positively predict employee perceptions of leader vulnerability. Study 2 presents the results of two experimental vignette studies (N = 478) of employed adults which investigate the role of disclosure content, leader gender, and discloser identity on perceived leadership effectiveness. Leaders who disclose a minority sexual orientation are rated significantly higher on perceived leadership effectiveness than those who disclose substance abuse disorder. Study 3 utilizes multimedia to create another experimental vignette to test a conditional process model on a sample of employed adults (N = 487). The conditional effects of disclosure appropriateness on follower ratings of leadership effectiveness and leader liking through followers’ perceptions of affective trust in leader and perceptions of leader vulnerability were examined using moderated-mediation and Hayes’ (2018) PROCESS macro. Leaders’ concealable stigmatized identity disclosures did not make a difference to how much employees liked their manager/supervisor, but leader disclosures of substance abuse disclosure directly were detrimental for employee ratings of leadership effectiveness - especially when the disclosure was perceived as inappropriate. When perceived as appropriate, leader disclosures of mental disorder/disease and minority sexual orientation produced positive effects on leader evaluations through affective trust in their leader. A model of stigma content hierarchy is proposed to predict outcomes of leader disclosures from the employee perspective in organizational settings. Theoretical and practical implications are discussed.
Single-Cavity Bi-Color Laser Enabled by Optical Anti-Parity-Time Symmetry
Creators: name: Duan, Yao
name: Zhang, Xingwang
name: Ding, Yimin
name: Ni, Xingjie
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The exploration of quantum-inspired symmetries in optical systems has spawned promising physics and provided fertile ground for developing devices exhibiting exotic functionalities. Founded on the anti-parity-time (APT) symmetry that is enabled by both spatial and temporal interplay between gain and loss, we demonstrate theoretically and numerically bi-color lasing in a single micro-ring resonator with spatiotemporal modulation along its azimuthal direction. In contrast to conventional multi-mode lasers that have mixed-frequency output, our laser exhibits stable, demultiplexed, tunable bi-color emission at different output ports. Our APT-symmetry-based laser may point out a new route for realizing compact on-chip coherent multi-color light sources.
description: 9 pages, 4 figures
Consistent Multiple Graph Embedding for Multi-View Clustering
Creators: name: Wang, Yiming
name: Chang, Dongxia
name: Fu, Zhiqiang
name: Zhao, Yao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Graph-based multi-view clustering aiming to obtain a partition of data across multiple views, has received considerable attention in recent years. Although great efforts have been made for graph-based multi-view clustering, it remains a challenge to fuse characteristics from various views to learn a common representation for clustering. In this paper, we propose a novel Consistent Multiple Graph Embedding Clustering framework(CMGEC). Specifically, a multiple graph auto-encoder(M-GAE) is designed to flexibly encode the complementary information of multi-view data using a multi-graph attention fusion encoder. To guide the learned common representation maintaining the similarity of the neighboring characteristics in each view, a Multi-view Mutual Information Maximization module(MMIM) is introduced. Furthermore, a graph fusion network(GFN) is devised to explore the relationship among graphs from different views and provide a common consensus graph needed in M-GAE. By jointly training these models, the common latent representation can be obtained which encodes more complementary information from multiple views and depicts data more comprehensively. Experiments on three types of multi-view datasets demonstrate CMGEC outperforms the state-of-the-art clustering methods.
Bringing Trimmed Serendipity Methods to Computational Practice in Firedrake
Creators: name: Crum, Justin
name: Cheng, Cyrus
name: Ham, David A.
name: Mitchell, Lawrence
name: Kirby, Robert C.
name: Levine, Joshua A.
name: Gillette, Andrew
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Mathematical Software (cs.MS)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We present an implementation of the trimmed serendipity finite element family, using the open source finite element package Firedrake. The new elements can be used seamlessly within the software suite for problems requiring $H^1$, \hcurl, or \hdiv-conforming elements on meshes of squares or cubes. To test how well trimmed serendipity elements perform in comparison to traditional tensor product elements, we perform a sequence of numerical experiments including the primal Poisson, mixed Poisson, and Maxwell cavity eigenvalue problems. Overall, we find that the trimmed serendipity elements converge, as expected, at the same rate as the respective tensor product elements while being able to offer significant savings in the time or memory required to solve certain problems.
description: 19 pages, 7 figures, 3 tables, 2 listings
Knowledge, beliefs, attitudes and perceived risk about COVID-19 vaccine and determinants of COVID-19 vaccine acceptance in Bangladesh
Creators: name: Mahmud, Sultan
name: Mohsin, Md.
name: Khan, Ijaz Ahmed
name: Mian, Ashraf Uddin
name: Zaman, Miah Akib
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: A total of 605 eligible respondents took part in this survey (population size 1630046161 and required sample size 591) with an age range of 18 to 100. A large proportion of the respondents are aged less than 50 (82%) and male (62.15%). The majority of the respondents live in urban areas (60.83%). A total of 61.16% (370/605) of the respondents were willing to accept/take the COVID-19 vaccine. Among the accepted group, only 35.14% showed the willingness to take the COVID-19 vaccine immediately, while 64.86% would delay the vaccination until they are confirmed about the vaccine s efficacy and safety or COVID-19 becomes deadlier in Bangladesh. The regression results showed age, gender, location (urban/rural), level of education, income, perceived risk of being infected with COVID-19 in the future, perceived severity of infection, having previous vaccination experience after age 18, having higher knowledge about COVID-19 and vaccination were significantly associated with the acceptance of COVID-19 vaccines. The research reported a high prevalence of COVID-19 vaccine refusal and hesitancy in Bangladesh.
description: Accepted by PLOS ONE: https://doi.org/10.1371/journal.pone.0257096