cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
An adjoint-free algorithm for conditional nonlinear optimal perturbations (CNOPs) via sampling
Creators: name: Shi, Bin
name: Sun, Guodong
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: Chaotic Dynamics (nlin.CD)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: In this paper, we propose a sampling algorithm based on state-of-the-art statistical machine learning techniques to obtain conditional nonlinear optimal perturbations (CNOPs), which is different from traditional (deterministic) optimization methods.1 Specifically, the traditional approach is unavailable in practice, which requires numerically computing the gradient (first-order information) such that the computation cost is expensive, since it needs a large number of times to run numerical models. However, the sampling approach directly reduces the gradient to the objective function value (zeroth-order information), which also avoids using the adjoint technique that is unusable for many atmosphere and ocean models and requires large amounts of storage. We show an intuitive analysis for the sampling algorithm from the law of large numbers and further present a Chernoff-type concentration inequality to rigorously characterize the degree to which the sample average probabilistically approximates the exact gradient. The experiments are implemented to obtain the CNOPs for two numerical models, the Burgers equation with small viscosity and the Lorenz-96 model. We demonstrate the CNOPs obtained with their spatial patterns, objective values, computation times, and nonlinear error growth. Compared with the performance of the three approaches, all the characters for quantifying the CNOPs are nearly consistent, while the computation time using the sampling approach with fewer samples is much shorter. In other words, the new sampling algorithm shortens the computation time to the utmost at the cost of losing little accuracy.
description: 20 pages, 6 figures, 4 tables
Data from Lipid biophysics and/or soft matter - inspired approach for controlling enveloped virus infectivity
Creators: name: Al-dalawi, Lamyaa
name: Dunham, Stephen P.
name: Rauch, Cyril
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: Biophysics
subject: 110601 Biomechanics
subject: FOS: Health sciences

description: Data underlying study
supporting information from Flue-gas and direct-air capture of CO2 by porous metal-organic materials
Creators: name: Madden, David G.
name: Scott, Hayley S.
name: Kumar, Amrit
name: Kai-Jie Chen
name: Sanii, Rana
name: Alankriti Bajpai
name: Lusi, Matteo
name: Curtin, Teresa
name: Perry, John J.
name: Zaworotko, Michael J.
Publisher: name: The Royal Society
Year: 2016
Subjects: subject: 30399 Macromolecular and Materials Chemistry not elsewhere classified
subject: FOS: Chemical sciences

description: Sequestration of CO2, either from gas mixtures or directly from air (direct air capture), is a technological goal important to large-scale industrial processes such as gas purification and the mitigation of carbon emissions. Previously, we investigated five porous materials, three porous metal-organic materials (MOMs), a benchmark inorganic material, Zeolite 13X and a chemisorbent, TEPA-SBA-15, for their ability to adsorb CO2 directly from air and from simulated flue gas. In this contribution, a further 10 physisorbent materials that exhibit strong interactions with CO2 have been evaluated by temperature-programmed desorption for their potential utility in carbon capture applications: four hybrid ultramicroporous materials, SIFSIX-3-Cu, DICRO-3-Ni-i, SIFSIX-2-Cu-i and MOOFOUR-1-Ni; five microporous MOMs, DMOF-1, ZIF-8, MIL-101, UiO-66 and UiO-66-NH2; an ultramicroporous MOM, Ni-4-PyC. The performance of these MOMs was found to be negatively impacted by moisture. Overall, we demonstrate that the incorporation of strong electrostatics from inorganic moieties combined with ultramicropores offers improved CO2 capture performance from even moist gas mixtures but not enough to compete with chemisorbents.
In Memoriam: Sir Samuel Haslam Scott; Dr J. R. K. Thomson; Mr J. B. Macalpine; Major Edward Harold Pattinson, M.B.E.
Creators: name: Anon,
Publisher: name: Archaeology Data Service
Year: 2017

description: Transactions of the Cumberland & Westmorland Antiquarian & Archaeological Society, 60, 211-213
Revisiting Legendre transformations in Finsler geometry
Creators: name: Rodrigues, Ernesto
name: Lobo, Iarley P.
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We discuss the conditions for mapping the geometric description of the kinematics of particles that probe a given Hamiltonian in phase space to a description in terms of Finsler geometry (and vice-versa).
description: 23+2 pages, 2 figures. Version with examples, improved discussion of the results, inclusion of an appendix, typos fixed. Matches published version. Updated Journal information
A uniqueness problem concerning entire functions and their derivatives
Creators: name: Sauer, Andreas
name: Schweizer, Andreas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 30D35 (primary), 30D45 (secondary)

description: We determine all entire functions $f$ such that for nonzero complex values $a\neq b$ the implications $f=a \Rightarrow f' =a$ and $f' =b \Rightarrow f=b$ hold. This solves an open problem in uniqueness theory. In this context we give a normality criterion, which might be interesting in its own right.
description: 20 pages
From Within / From Outside: Mass Media and the International Spread of Post-War Architecture
Creators: name: Pizza, Antonio
name: García-Estévez, Carolina Beatriz
name: Graus, Ramon
name: Vergara, Marisa García
Publisher: name: Histories of Postwar Architecture
Year: 2020

description: This monographic issue of the journal HPA attempts to map the international spread of architectural culture in the mass media after the Second World War, taking the period 1945–1960 as a time frame.[1] It focuses on how certain ideas about the city and contemporary architecture were disseminated through periodical publications, exhibitions and conferences by analyzing a series of monographic case studies in an attempt to answer some essential questions: 1. How was an architectural and/or urban design project with ties to a specific context presented in the international sphere through state, professional and educational channels—whether institutional or otherwise? 2. How did this occur during a period of radical cultural reconstruction and fundamental disciplinary redefinition? 3. And vice versa: how was the same project interpreted from the point of view of the foreign establishment? 4. How did the vision “from within” and the perspectives “from outside” interact? We believe that analyzing this type of “external” perspective (specifically: how the architectural world of one country looks at the architecture of another) offers a productive path toward a historiographic renewal of studies centered on the processes affecting the international dissemination of modern architecture, beginning from the early years after the Second World War in Europe. [1] The editors of this monograph were supported by the Spanish Ministry of Science, Innovation and Universities and by the European Regional Development Fund (ERDF) of the European Union. Research project: Spanish Architecture in International Communication Media: Publications, Exhibitions, Congresses (First part: 1940-1975), reference number HAR2017-85205-P (MICINN / AIE / ERDF, EU).
description: Histories of Postwar Architecture, No 4 (2019): Mass Media and the International Spread of Post-War Architecture
Supplementary material from Unravelling insect declines: can space replace time?
Creators: name: Blüthgen, Nico
name: Staab, Michael
name: Achury, Rafael
name: Weisser, Wolfgang
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Temporal trends in insect numbers vary across studies and habitats but drivers are poorly understood. Suitable long-term data are scant and biased, and interpretations of trends remain controversial. By contrast, there is substantial quantitative evidence for drivers of spatial variation. From observational and experimental studies, we have gained a profound understanding of where insect abundance and diversity is higher—and identified underlying environmental conditions, resource change and disturbances. We thus propose an increased consideration of spatial evidence in studying the causes of insect decline. This is because for most time series available today, the number of sites and thus statistical power strongly exceeds the number of years studied. Comparisons across sites allow quantifying insect population risks, impacts of land use, habitat destruction, restoration or management, and stressors such as chemical and light pollution, pesticides, mowing or harvesting, climatic extremes or biological invasions. Notably, drivers may not have to change in intensity to have long-term effects on populations, e.g. annually repeated disturbances or mortality risks such as those arising from agricultural practices. Space-for-time substitution has been controversially debated. However, evidence from well-replicated spatial data can inform on urgent actions required to halt or reverse declines—to be implemented in space.
Clifton Hall, Cumbria: Excavations 1977-79.
Creators: name: Fairclough, Graham
Publisher: name: Archaeology Data Service
Year: 2008

description: Transactions of the Cumberland & Westmorland Antiquarian & Archaeological Society, 80, 45-68
description: The western cross-wing of a late 14th/early 15th century ?H-plan hall was replaced by a stone tower in late 15th/early 16th century. South of the tower, away from the hall, a timber-framed two-floored structure was added in early-mid 16th, soon enlarged and rebuilt in stone; additions continued until demolition of the building (tower excepted) in 19th century. Discussion of planning. D G
Quantum LOSR networks cannot generate graph states with high fidelity
Creators: name: Wang, Yi-Xuan
name: Xu, Zhen-Peng
name: Gühne, Otfried
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum networks lead to novel notions of locality and correlations and an important problem concerns the question of which quantum states can be experimentally prepared with a given network structure and devices and which not. We prove that all multi-qubit graph states arising from a connected graph cannot originate from any quantum network with bipartite sources, as long as feed-forward and quantum memories are not available. Moreover, the fidelity of a multi-qubit graph state and any network state cannot exceed $9/10$. Similar results can also be established for a large class of multi-qudit graph states.
description: 5+11 pages, 5 figures. accepted version
Involutive Yang-Baxter: cabling, decomposability, Dehornoy class
Creators: name: Lebed, V.
name: Ramírez, S.
name: Vendramin, L.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Algebra (math.QA)
subject: Group Theory (math.GR)
subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics
subject: 16T25, 17D99, 08A05

description: We develop new machinery for producing decomposability tests for involutive solutions to the Yang-Baxter equation. It is based on the seminal decomposability theorem of Rump, and on "cabling" operations on solutions and their effect on the diagonal map. Our machinery yields an elementary proof of a recent decomposability theorem of Camp-More and Sastriques, as well as original decomposability results. It also provides a conceptual interpretation (using the braces language) of the Dehornoy class, a combinatorial invariant naturally appearing in the Garside-theoretic approach to involutive solutions.
description: 13 pages. Final version; postprint
A new cycloartane-type triterpenoid from the roots of Dianella ensifolia (L.) DC
Creators: name: Ben-Qin Tang
name: Chu-Wen Li
name: Sun, Jian-Bo
name: Chang, Yu
name: Chan, Judy Yuet-Wa
name: Lee, Simon Ming-Yuan
name: Zeng, Bao
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Plant Biology

description: A new cycloartane-type triterpenoid, named 22-hydroxy-cyclolaudenol (1), together with two known cycloartane-type triterpenoids were isolated from the roots of Dianella ensifolia. Their structures were determined based on spectroscopic methods, including UV, IR, HR-ESI-MS, NMR and X-ray diffraction. Compound 1 displayed cytotoxic effects against cancer cell lines B16-F10, A549 and MDA-MB-231.
Predicting the Mpemba Effect Using Machine Learning
Creators: name: Amorim, Felipe
name: Wisely, Joey
name: Buckley, Nathan
name: DiNardo, Christiana
name: Sadasivan, Daniel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: The Mpemba Effect can be studied with Markovian dynamics in a non-equilibrium thermodynamics framework. The Markovian Mpemba Effect can be observed in a variety of systems including the Ising model. We demonstrate that the Markovian Mpemba Effect can be predicted in the Ising model with several machine learning methods: the decision tree algorithm, neural networks, linear regression, and non-linear regression with the LASSO method. The positive and negative accuracy of these methods are compared. Additionally, we find that machine learning methods can be used to accurately extrapolate to data outside the range which they were trained. Neural Networks can even predict the existence of the Mpemba Effect when they are trained only on data in which the Mpemba Effect does not occur. This indicates that information about which coefficients result in the Mpemba Effect is contained in coefficients where the results does not occur. Furthermore, neural networks can predict that the Mpemba effect does not occur for positive $J$, corresponding to the ferromagnetic ising model even when they are only trained on negative $J$, corresponding to the anti-ferromagnetic ising model. All of these results demonstrate that the Mpemba Effect can be predicted in complex, computationally expensive systems, without explicit calculations of the eigenvectors.
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations
Creators: name: Ostmeier, Sophie
name: Axelrod, Brian
name: Bertels, Jeroen
name: Isensee, Fabian
name: Lansberg, Maarten G.
name: Christensen, Soren
name: Albers, Gregory W.
name: Li, Li-Jia
name: Heit, Jeremy J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Performance metrics for medical image segmentation models are used to measure the agreement between the reference annotation and the predicted segmentation. Usually, overlap metrics, such as the Dice, are used as a metric to evaluate the performance of these models in order for results to be comparable. However, there is a mismatch between the distributions of cases and difficulty level of segmentation tasks in public data sets compared to clinical practice. Common metrics fail to measure the impact of this mismatch, especially for clinical data sets that include low signal pathologies, a difficult segmentation task, and uncertain, small, or empty reference annotations. This limitation may result in ineffective research of machine learning practitioners in designing and optimizing models. Dimensions of evaluating clinical value include consideration of the uncertainty of reference annotations, independence from reference annotation volume size, and evaluation of classification of empty reference annotations. We study how uncertain, small, and empty reference annotations influence the value of metrics for medical image segmentation on an in-house data set regardless of the model. We examine metrics behavior on the predictions of a standard deep learning framework in order to identify metrics with clinical value. We compare to a public benchmark data set (BraTS 2019) with a high-signal pathology and certain, larger, and no empty reference annotations. We may show machine learning practitioners, how uncertain, small, or empty reference annotations require a rethinking of the evaluation and optimizing procedures. The evaluation code was released to encourage further analysis of this topic. https://github.com/SophieOstmeier/UncertainSmallEmpty.git
description: 16 pages, 10 figures, Published in Medical Image Analysis
Translation Results for Some Star-Selection Games
Creators: name: Caruvana, Christopher
name: Holshouser, Jared
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Topology (math.GN)
subject: FOS: Mathematics
subject: 991A44, 54D20, 54B20

description: We continue to explore the ways in which high-level topological connections arise from connections between fundamental features of the spaces, in this case focusing on star-selection principles in Pixley-Roy hyperspaces and uniform spaces. First, we find a way to write star-selection principles as ordinary selection principles, allowing us to apply our translation theorems to star-selection games. For Pixley-Roy hyperspaces, we are able to extend work of M. Sakai and connect the star-Menger/Rothberger games on the hyperspace to the $ω$-Menger/Rothberger games on the ground space. Along the way, we uncover connections between cardinal invariants. For uniform spaces, we show that the star-Menger/Rothberger game played with uniform covers is equivalent to the Menger/Rothberger game played with uniform covers, reinforcing an observation of Lj. Kočinac.
description: 23 Pages
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems
Creators: name: Kwok, Wai Meng
name: Dass, Sarat Chandra
name: Streftaris, George
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation (stat.CO)
subject: Probability (math.PR)
subject: Statistics Theory (math.ST)
subject: Applications (stat.AP)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 62F15 (Primary) 68T07 (Secondary)

description: Parameter estimation and associated uncertainty quantification is an important problem in dynamical systems characterized by ordinary differential equation (ODE) models that are often nonlinear. Typically, such models have analytically intractable trajectories which result in likelihoods and posterior distributions that are similarly intractable. Bayesian inference for ODE systems via simulation methods require numerical approximations to produce inference with high accuracy at a cost of heavy computational power and slow convergence. At the same time, Artificial Neural Networks (ANN) offer tractability that can be utilized to construct an approximate but tractable likelihood and posterior distribution. In this paper we propose a hybrid approach, where Laplace-based Bayesian inference is combined with an ANN architecture for obtaining approximations to the ODE trajectories as a function of the unknown initial values and system parameters. Suitable choices of a collocation grid and customized loss functions are proposed to fine tune the ODE trajectories and Laplace approximation. The effectiveness of our proposed methods is demonstrated using an epidemiological system with non-analytical solutions, the Susceptible-Infectious-Removed (SIR) model for infectious diseases, based on simulated and real-life influenza datasets. The novelty and attractiveness of our proposed approach include (i) a new development of Bayesian inference using ANN architectures for ODE based dynamical systems, and (ii) a computationally fast posterior inference by avoiding convergence issues of benchmark Markov Chain Monte Carlo methods. These two features establish the developed approach as an accurate alternative to traditional Bayesian computational methods, with improved computational cost.
description: 39 pages, 9 figures, 7 tables
Discrete-time Flatness and Linearization along Trajectories
Creators: name: Kolar, Bernd
name: Diwold, Johannes
name: Gstöttner, Conrad
name: Schöberl, Markus
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optimization and Control (math.OC)
subject: Differential Geometry (math.DG)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics

description: The paper studies the relation between a nonlinear time-varying flat discrete-time system and the corresponding linear time-varying systems which are obtained by a linearization along trajectories. It is motivated by the continuous-time case, where it is well-known that the linearization of flat systems along trajectories results in linear time-varying systems which are again flat. Since flatness implies controllability, this constitutes an important verifiable necessary condition for flatness. In the present contribution, it is shown that this is also true in the discrete-time case: We prove that the linearized system is again flat, and that a possible flat output is given by the linearization of a flat output of the nonlinear system. Analogously, the map that describes the parameterization of the system variables of the linear system by this flat output coincides with the linearization of the corresponding map of the nonlinear system. The results are illustrated by two examples.
Housing quality evaluation using Analytic Network Process: a case study in the Ashanti Region, Ghana
Creators: name: Hussey, Lucia Kafui
name: Malczewski, Jacek
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Analytic Network Process (ANP) is a multicriteria decision analysis method. It provides a tool for identifying the relative importance of all the elements (criteria) influencing a goal of decision/evaluation problem (e.g. the problem of evaluating housing quality). The method allows for incorporating dependence relationships into the multicriteria evaluation procedure. Although ANP has successfully been applied for tackling a wide variety of evaluation/decision problems, it remains to be explored in its application to housing quality evaluation. A case study of housing quality evaluation in the Ashanti Region, Ghana using the method is presented. A set of quality-based indicators related to the physical (structural material, dwelling types, and housing services), socioeconomic (tenure and household density (overcrowding), and environmental (modes of solid waste and liquid waste disposal) aspects of dwellings were used for the evaluation. The results demonstrate the effectiveness of the ANP method. The ANP method was successfully used for combining a large number of evaluation criteria (indicators) to obtain a composite measure of housing quality. It also identifies the most important factors (indicators) contributing to the variability of housing quality of districts in the Ashanti Region, Ghana.
Dark Matter Induced Power in Quantum Devices
Creators: name: Das, Anirban
name: Kurinsky, Noah
name: Leane, Rebecca K.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We point out that power measurements of single quasiparticle devices open a new avenue to detect dark matter (DM). The threshold of these devices is set by the Cooper pair binding energy, and is therefore so low that they can detect DM as light as about an MeV incoming from the Galactic halo, as well as the low-velocity thermalized DM component potentially present in the Earth. Using existing power measurements with these new devices, as well as power measurements with SuperCDMS-CPD, we set new constraints on the spin-independent DM scattering cross section for DM masses from about 10 MeV to 10 GeV. We outline future directions to improve sensitivity to both halo DM and a thermalized DM population in the Earth using power deposition in quantum devices.
description: v2: version published in PRL
A class of multilinear bounded oscillation operators on measure spaces and applications
Creators: name: Cao, Mingming
name: Ibañez-Firnkorn, Gonzalo
name: Rivera-Ríos, Israel P.
name: Xue, Qingying
name: Yabuta, Kôzô
Publisher: name: arXiv
Year: 2022
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 42B20, 42B25, 42B35

description: In this paper, we develop a comprehensive weighted theory for a class of Banach-valued multilinear bounded oscillation operators on measure spaces, which merges multilinear Calderón-Zygmund operators with a quantity of operators beyond the multilinear Calderón-Zygmund theory. We prove that such multilinear operators and corresponding commutators are locally pointwise dominated by two sparse dyadic operators, respectively. We also establish three kinds of typical estimates: local exponential decay estimates, mixed weak type estimates, and sharp weighted norm inequalities. Beyond that, based on Rubio de Francia extrapolation for abstract multilinear compact operators, we obtain weighted compactness for commutators of specific multilinear operators on spaces of homogeneous type. A compact extrapolation allows us to get full range of exponents, while weighted interpolation for multilinear compact operators is crucial to the compact extrapolation. These are due to a weighted Fréchet-Kolmogorov theorem in the quasi-Banach range, which gives a characterization of relative compactness of subsets in weighted Lebesgue spaces. As applications, we illustrate multilinear bounded oscillation operators with examples including multilinear Hardy-Littlewood maximal operators on measure spaces, multilinear $ω$-Calderón-Zygmund operators on spaces of homogeneous type, multilinear Littlewood-Paley square operators, multilinear Fourier integral operators, higher order Calderón commutators, maximally modulated multilinear singular integrals, and $q$-variation of $ω$-Calderón-Zygmund operators.
DISEÑO E IMPLEMENTACIÓN DE UN PROTOTIPO DE MONITOREO REMOTO DE CONTAMINACIÓN AMBIENTAL UTILIZANDO TECNOLOGÍA GSM.
Creators: name: Estrada, Juan
Publisher: name: figshare
Year: 2016
Subjects: subject: 100510 Wireless Communications
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: El proyecto desarrolla un sistema que permite monitorear gases de contaminación atmosférica a través de un prototipo que realiza mediciones de forma automática. El prototipo utiliza un sistema microprocesado para adquirir los datos de sensores de monóxido de carbono (CO), dióxidode carbono (CO2), temperatura y humedad. Los datos adquiridos son enviados en forma de SMS, a través de un teléfono celular, a una aplicación de monitoreo. Esta aplicación recibe los datos, los almacena y permite visualizarlos en forma de gráficas o reportes. Finalmente, una vez implementado el prototipo, se realizan las pruebasde funcionamiento del mismo.
PSYCHOLOGICAL ASPECTS OF TEACHING RUSSIAN AS A FOREIGN LANGUAGE TO PHILOLOGY STUDENTS
Creators: name: Mustafayeva, Dilorom
Publisher: name: Zenodo
Year: 2024

description: Teaching Russian as a Foreign Language (RFL) is a complex process that requires not only knowledge of grammatical rules and vocabulary but also an understanding of the specific psychological characteristics of the learners. This article analyzes the key psychological aspects of RFL instruction that influence the effectiveness of the learning process and contribute to the successful integration of the learner into the Russian-speaking environment.
Reliability and validity of the CogState computerized battery in patients with seizure disorders and healthy young adults: comparison with standard neuropsychological tests
Creators: name: Fratti, Sara
name: Bowden, Stephen C.
name: Cook, Mark J.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Space Science
subject: Neuroscience
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Objective: The aim was to examine the reliability and validity of two measures of learning and memory within the CogState Computerized Battery: the One Card Learning (OCL) and the Continuous Paired Associative Learning (CPAL). Comparison of various reliable change measures was also included to examine rate of correct cognitive change classification, in particular, when using the Within-Subject Standard Deviation (WSD). Method: The OCL and the CPAL tests were administered twice and compared to standard and experimental versions of conventional neuropsychological tests in patients with seizure disorders (Baseline n = 80, Follow-up = 54) and university students (Baseline n = 89, Follow-up n = 87). Calculations of Reliable Change Indices (RCIs) on individual performance were obtained to detect reliable change across time using published CogState and current study parameters. Results: Results showed low retest reliabilities in both OCL and CPAL tests (r’s = .49–.77). Small to medium convergent validity correlations with traditional tests of learning and working memory were also found. Discrepancies in RCIs methods on performance estimation were observed when different test parameters and reliabilities were used. In contrast to recent recommendations by publishers of the CogState tests, the WSD method was found to substantially increase the rate of Type-I error when tests reliabilities were low. Conclusions: Unsatisfactory reliability and validity estimates suggest caution regarding the CogState computerized measures of learning and memory as opposed to conventional tests. Caution should be used when interpreting OCL and CPAL test scores, as confidence intervals may be wide and encompass much of the population range. In line with previous recommendations, use of the WSD to detect change in performance over time should be avoided in neuropsychological testing, as this change measure is prone to elevated misclassification rates compared to other methods. Further independent research is needed to improve the psychometrics of CogState OCL and CPAL measures.
Íslenskir vísindamenn og opinn aðgangur
Creators: name: Sigurbjorg Johannesdottir
Publisher: name: figshare
Year: 2016
Subjects: subject: Library and Information Studies
subject: FOS: Media and communications

description: Title in English: Icelandic Scientists and Open Access

This paper is in Icelandic.
Was published in Tölvumál. Tímarit Skýrslutæknifélags Íslands, 2014 (39/1).
The role of Open Access in publication practices of Icelandic Scientists
Creators: name: Sigurbjorg Johannesdottir
Publisher: name: figshare
Year: 2016
Subjects: subject: Library and Information Studies
subject: FOS: Media and communications

description: A poster in the size of A0.
It includes a short description of a PhD thesis the author is working on and a short version of the Open Access timeline in Iceland. It also has a new version of the Open Access logo, which the author made and is in public domain. It combines the OA logo and the form of the country Iceland.

It was at a conference in Iceland,

Conference:
Afmælisráðstefna í Upplýsingafræði 60 ár við Háskóla Íslands.

Date
18. November 2016

Place
National and University Library of Iceland
Tuning Protocol (TP) for Enhancing Communicative Language Teaching Ability in Teaching Practicum of Pre-service Teachers
Creators: name: สายฝน ทรงเสี่ยงไชย
Publisher: name: หจก.เลิศศิลป์ สาส์ณ โฮลดิ้ง
Year: 2563
Subjects: การฝึกปฏิบัติการสอน, แนวทางการสื่อสาร, ความสามารถในการสอนภาษาเพื่อการสื่อสาร, นักศึกษาครู (Teaching practicum, Tuning Protocol (TP), CLT ability, Pre-service teachers)

description: วารสารชุมชนวิจัย มหาวิทยาลัยราชภัฏนครราชสีมา, 14, 1, 82-96
Icelandic Scientists and Open Access
Creators: name: Sigurbjorg Johannesdottir
Publisher: name: figshare
Year: 2016
Subjects: subject: Library and Information Studies
subject: FOS: Media and communications

description: This paper is in Icelandic.
Was published in Tölvumál. Tímarit Skýrslutæknifélags Íslands, 2014 (39/1).
Open Access to research: Opportunities and challenges within universities in Iceland
Creators: name: Sigurbjorg Johannesdottir
Publisher: name: figshare
Year: 2016
Subjects: subject: 80799 Library and Information Studies not elsewhere classified
subject: FOS: Media and communications

description: The thesis is a MED in School of Education at University in Iceland.
It is in Icelandic.
The supervisors are: Sólveig Jakobsdóttir and Jón Torfi Jónsson.

Abstract:
Open Access (OA) are introduced and discussed associated with open scholarship and the international scientific community. The status of Open Access in Iceland is explored through the laws and policies relating to OA, gratis and libre publications within scholarly journals, publication within open repositories, and the opportunities that scientists have to publish scholarly papers in OA.
Data was collected through interviews with experts in the Open Access field. Two questions were used from a study of OA that was conducted among scientists at Reykjavik University (RU) 2014, as well as an analysis of a list of their published articles in scholarly journals in 2013.
The results show that OA is growing slowly in Iceland. Four institutions have OA policies. Icelandic scientists are not taking full advantage of the rules of journals about publishing articles within OA. Scientists' beliefs concerning the barriers standing in their way for publishing sholarly papers in OA are based on a lack of knowledge and a lack of access to institutional repositories in which they might wish to publish their articles.
The opportunities and challenges that Icelandic universities face regarding open sholarship are outlined and discussed. The universities need to have policies for OA and Open Educational Resources (OER) which are consistent with what is happening internationally. Academics need to receive helpful information on OA, they also need to receive encouragement, advice and support concerning publishing in OA. The universities and the scientific community in Iceland need to take a joint decision on what are the best ways for the continued preservation and publication of research and educational resources in OA.
Block subsampled randomized Hadamard transform for low-rank approximation on distributed architectures
Creators: name: Balabanov, Oleg
name: Beaupere, Matthias
name: Grigori, Laura
name: Lederer, Victor
Publisher: name: arXiv
Year: 2022
Subjects: subject: Numerical Analysis (math.NA)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: This article introduces a novel structured random matrix composed blockwise from subsampled randomized Hadamard transforms (SRHTs). The block SRHT is expected to outperform well-known dimension reduction maps, including SRHT and Gaussian matrices, on distributed architectures with not too many cores compared to the dimension. We prove that a block SRHT with enough rows is an oblivious subspace embedding, i.e., an approximate isometry for an arbitrary low-dimensional subspace with high probability. Our estimate of the required number of rows is similar to that of the standard SRHT. This suggests that the two transforms should provide the same accuracy of approximation in the algorithms. The block SRHT can be readily incorporated into randomized methods, for instance to compute a low-rank approximation of a large-scale matrix. For completeness, we revisit some common randomized approaches for this problem such as Randomized Singular Value Decomposition and Nyström approximation, with a discussion of their accuracy and implementation on distributed architectures.
HOW DOES PEDAGOGICAL CHANGE AFFECT TEACHERS AT DIFFERENT STAGES OF THEIR CAREERS?
Creators: name: Jessup, Susan
Publisher: name: Zenodo
Year: 2022
Subjects: teacher change and stress
self-efficacy
pandemic
elementary
professional development

description: This qualitative inquiry examines how pedagogical change affects elementary teachers at different stages in their careers (novice, mid-career, and veteran). It also examines whether the COVID-19 pandemic amplified existing challenges and/or created new issues associated with teaching in this context. The main data source used were inquiry Zoom interviews that engaged teachers in a conversation about how changes in education impacted their job satisfaction. Teachers were asked to discuss their teacher training programs, their experiences with professional development (PD), what evoked joy when teaching, and what in the teaching profession causes them stress. The results show that changing experiences affect teacher change and stress. Findings also show that teachers at all levels experience stressors, but the reactions vary by their experience levels, with less experienced teachers likely to adapt to change more quickly than teachers with more experience. Data showed that teacher self-efficacy increases with experience, but the constantly changing atmosphere of teaching still leaves teachers, even experienced ones, questioning their self-efficacy. Findings also concluded that teachers are more likely to implement PD when it is scaffolded to a level that corresponds to their prior experiences. Based on these findings it is suggested that funds be earmarked for teacher mentorship; that principals spend two days a year teaching inside an elementary classroom; that schools provide social-emotional support for all school staff; that management communicates goals with all the staff about their essential, focused goal for the year; and that a contingency plan for disrupted instruction be developed.
Using canopy heights from digital aerial photogrammetry to enable spatial transfer of forest attribute models: a case study in central Europe
Creators: name: Stepper, Christoph
name: Straub, Christoph
name: Immitzer, Markus
name: Pretzsch, Hans
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Plant Biology

description: This paper describes a workflow utilizing detailed canopy height information derived from digital airphotos combined with ground inventory information gathered in state-owned forests and regression modelling techniques to quantify forest-growing stocks in private woodlands, for which little information is generally available. Random forest models were trained to predict three different variables at the plot level: quadratic mean diameter of the 100 largest trees (d100), basal area weighted mean height of the 100 largest trees (h100), and gross volume (V). Two separate models were created – one for a spruce- and one for a beech-dominated test site. We examined the spatial portability of the models by using them to predict the aforementioned variables at actual inventory plots in nearby forests, in which simultaneous ground sampling took place. When data from the full set of available plots were used for training, the predictions for d100, h100, and V achieved out-of-bag model accuracies (scaled RMSEs) of 15.1%, 10.1%, and 35.3% for the spruce- and 15.9%, 9.7%, and 32.1% for the beech-dominated forest, respectively. The corresponding independent RMSEs for the nearby forests were 15.2%, 10.5%, and 33.6% for the spruce- and 15.5%, 8.9%, and 33.7% for the beech-dominated test site, respectively.
RollBack: A New Time-Agnostic Replay Attack Against the Automotive Remote Keyless Entry Systems
Creators: name: Csikor, Levente
name: Lim, Hoon Wei
name: Wong, Jun Wen
name: Ramesh, Soundarya
name: Parameswarath, Rohini Poolat
name: Chan, Mun Choon
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Today's RKE systems implement disposable rolling codes, making every key fob button press unique, effectively preventing simple replay attacks. However, a prior attack called RollJam was proven to break all rolling code-based systems in general. By a careful sequence of signal jamming, capturing, and replaying, an attacker can become aware of the subsequent valid unlock signal that has not been used yet. RollJam, however, requires continuous deployment indefinitely until it is exploited. Otherwise, the captured signals become invalid if the key fob is used again without RollJam in place. We introduce RollBack, a new replay-and-resynchronize attack against most of today's RKE systems. In particular, we show that even though the one-time code becomes invalid in rolling code systems, replaying a few previously captured signals consecutively can trigger a rollback-like mechanism in the RKE system. Put differently, the rolling codes become resynchronized back to a previous code used in the past from where all subsequent yet already used signals work again. Moreover, the victim can still use the key fob without noticing any difference before and after the attack. Unlike RollJam, RollBack does not necessitate jamming at all. Furthermore, it requires signal capturing only once and can be exploited at any time in the future as many times as desired. This time-agnostic property is particularly attractive to attackers, especially in car-sharing/renting scenarios where accessing the key fob is straightforward. However, while RollJam defeats virtually any rolling code-based system, vehicles might have additional anti-theft measures against malfunctioning key fobs, hence against RollBack. Our ongoing analysis (covering Asian vehicle manufacturers for the time being) against different vehicle makes and models has revealed that ~70% of them are vulnerable to RollBack.
description: 24 pages, 5 figures Under submission to a journal
Additional file 1 of Impact of insecticide-treated nets and indoor residual spraying on self-reported malaria prevalence among women of reproductive age in Ghana: implication for malaria control and elimination
Creators: name: Alhassan, Yakubu
name: Dwomoh, Duah
name: Amuasi, Susan Ama
name: Nonvignon, Justice
name: Bonful, Harriet
name: Tetteh, Mary
name: Agyabeng, Kofi
name: Kotey, Martha
name: Yawson, Alfred E.
name: Bosomprah, Samuel
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1: Table S1. Sub analysis of the impact of malaria intervention on self-reported malaria prevalence among women by household and women characteristics.
The CARESSES Ontology for Socially Assistive Robotics
Creators: name: Recchiuto, Carmine Tommaso
name: Sgorbissa, Antonio
name: Bruno, Barbara
name: Papadopoulos, Irena
name: Koulouglioti, Christina
name: Kamide, Hiroko
Publisher: name: Zenodo
Year: 2020
Subjects: Robot
Socially Assistive Robot
SAR
Human Robot Interaction
HRI
Culture
Cultural Competence
Culture Aware
Elderly Care

description: Published on the Linked Open Vocabularies (LOV) The CARESSES Ontology encodes guidelines defined by experts in Transcultural Nursing, with the aim of offering a specific tool for endowing social assistive robots (assisting older adults) with cultural competence. https://lov.linkeddata.es/dataset/lov/vocabs/caresses
Turán Problems for Mixed Graphs
Creators: name: Mani, Nitya
name: Yu, Edward
Publisher: name: arXiv
Year: 2022
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C35

description: We investigate natural Turán problems for mixed graphs, generalizations of graphs where edges can be either directed or undirected. We study a natural \textit{Turán density coefficient} that measures how large a fraction of directed edges an $F$-free mixed graph can have; we establish an analogue of the Erdős-Stone-Simonovits theorem and give a variational characterization of the Turán density coefficient of any mixed graph (along with an associated extremal $F$-free family). This characterization enables us to highlight an important divergence between classical extremal numbers and the Turán density coefficient. We show that Turán density coefficients can be irrational, but are always algebraic; for every positive integer $k$, we construct a family of mixed graphs whose Turán density coefficient has algebraic degree $k$.
description: 32 pages incl. 11 page appendix, 23 figures
Additional file 1 of The predictive validity of admission criteria for the results of clinical competency assessment with an emphasis on family medicine in the fifth year of medical education: an observational study
Creators: name: Kötter, Thomas
name: Rose, Silvia Isabelle
name: Goetz, Katja
name: Steinhäuser, Jost
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: 60506 Virology
subject: FOS: Biological sciences

description: Additional file 1.
Non-parametric multivariate analysis of variance in the proteomic response of potato to drought stress
Creators: name: Zerzucha, Piotr
name: Boguszewska, Dominika
name: Zagdańska, Barbara
name: Walczak, Beata
Publisher: name: figshare
Year: 2016
Subjects: Cheminformatics

description: Spot detection is a mandatory step in all available software packages dedicated to the analysis of 2D gel images. As the majority of spots do not represent individual proteins, spot detection can obscure the results of data analysis significantly. This problem can be overcome by a pixel-level analysis of 2D images. Differences between the spot and the pixel-level approaches are demonstrated by variance analysis for real data sets (part of a larger research project initiated to investigate the molecular mechanism of the response of the potato to drought stress). As the method of choice for the analysis of data variation, the non-parametric MANOVA was chosen. NP-MANOVA is recommended as a flexible and very fast tool for the evaluation of the statistical significance of the factor(s) studied.