175 research outputs found

    Uncountably many quasi-isometry classes of groups of type FPFP

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    Previously one of the authors constructed uncountable families of groups of type FPFP and of nn-dimensional Poincar\'e duality groups for each n4n\geq 4. We strengthen these results by showing that these groups comprise uncountably many quasi-isometry classes. We deduce that for each n4n\geq 4 there are uncountably many quasi-isometry classes of acyclic nn-manifolds admitting free cocompact properly discontinuous discrete group actions.Comment: Version 2: minor corrections made, theorems now numbered by sectio

    Built to last! Embedding open science principles and practice into European universities

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    The purpose of this article is to examine the cultural change needed by universities, as identified by LERU in its report Open Science and its role in universities: a roadmap for cultural change.1 It begins by illustrating the nature of that cultural change. Linked to that transformation is a necessary management change to the way in which organizations perform research. Competition is not the only, or necessarily the best, way to conduct this transformation. Open science brings to the fore the values of collaboration and sharing. Building on a number of Focus on Open Science Workshops held over five years across Europe, the article identifies best practice in changing current research practices, which will then contribute to the culture change necessary to deliver open science. Four case studies, delivered at Focus on Open Science Workshops or other conferences in Europe, illustrate the advances that are being made: the findings of a Workshop on Collaboration and Competition at the OAI 11 meeting in Geneva in June 2019; alternative publishing platforms, exemplified by UCL Press; open data, FAIR data and reproducibility; and a Citizen Science Workshop held at the LIBER Conference in Dublin in June 2019

    Dispersion for the Schr\"odinger Equation on Networks

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    In this paper we consider the Schr\"odinger equation on a network formed by a tree with the last generation of edges formed by infinite strips. We give an explicit description of the solution of the linear Schr\"odinger equation with constant coefficients. This allows us to prove dispersive estimates, which in turn are useful for solving the nonlinear Schr\"odinger equation. The proof extends also to the laminar case of positive step-function coefficients having a finite number of discontinuities.Comment: 16 pages, 2 figure

    IDENTIFICATION OF LAND DEGRADATION AREAS BY QUERYING THE GEOREFERENCED NATIONAL DATABASES IN ORDER TO DELINEATE THE POTENTIAL LAND RECLAMATION PERIMETERS AT LOCAL LEVEL

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    The aim of this paper is to identify land degradation areas at administrative local level using GIS-based methods and geo-referenced databases including soil, geology, terrain, land use, and land cover data. The Local Administrative Unit of Scorțoasa, Buzău County, was selected as study case, covering an area of about 9595 ha of hill landscape. With data which included soil maps, land use maps and geology maps at medium scales (1:200 000) land degradation map was obtained for cropland and grazing land based on some attributes such as: water erosion, wind erosion, landslides,  salinization, water logging. The combined land degradation map, joining the different data, presents a medium resolution, given the different initial scales of the used maps. The approach adopted in this paper consisting in combining different data sets, requires field validation, but can provide primary reliable information for delineation of potential land reclamation areas

    Quantifying Collaboration Quality in Face-to-Face Classroom Settings Using MMLA

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    Producción CientíficaThe estimation of collaboration quality using manual observation and coding is a tedious and difficult task. Researchers have proposed the automation of this process by estimation into few categories (e.g., high vs. low collaboration). However, such categorical estimation lacks in depth and actionability, which can be critical for practitioners. We present a case study that evaluates the feasibility of quantifying collaboration quality and its multiple sub-dimensions (e.g., collaboration flow) in an authentic classroom setting. We collected multimodal data (audio and logs) from two groups collaborating face-to-face and in a collaborative writing task. The paper describes our exploration of different machine learning models and compares their performance with that of human coders, in the task of estimating collaboration quality along a continuum. Our results show that it is feasible to quantitatively estimate collaboration quality and its sub-dimensions, even from simple features of audio and log data, using machine learning. These findings open possibilities for in-depth automated quantification of collaboration quality, and the use of more advanced features and algorithms to get their performance closer to that of human coders.European Union via the European Regional Development Fund and in the context of CEITER and Next-Lab (Horizon 2020 Research and Innovation Programme, grant agreements no. 669074 and 731685)Junta de Castilla y León (Project VA257P18)Ministerio de Ciencia, Innovación y Universidades (Project TIN2017-85179-C3-2-R

    Theoretical Analysis of Hydrogen Bonds, Energy Distribution and Information in a 1 % Rosa damascena Mill Oil Solution

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    The method of Non-equilibrium Energy Spectrum (NES) was applied in measurement of hydrogen bonds energy distribution in 1% Rosa damscena L. oil solution in deionized water. Local maxima in this spectrum were identical with these obtained in investigations of other biologically active solutions and related to particular bio effects as follows: (-0.1387 eV; 8.95 µm; 1117 cm-1). This local maximum is typical for antibacterial, anti-tumor and anti-inflammatory effects. The local maxima at (-0.1212 eV; 10.23 µm; 978 cm-1) and (-0.1262 eV; 9.82 µm; 1018 cm-1) are typical for anti-inflammatory effects and this at (-0.1112 eV; 11.15 µm; 897 cm-1) is typical for effects on the nervous system and nerve conductivity. Information theoretical analysis was performed using the values of Shannon entropy and Transformational information entropy, pointing to hydrogen bonds distribution similarities between Rosa damscena L., V. myrtillus L. and Salvia divinorum Epling. The possible chemical causes of these similarities were identified as antioxidant activity and polyphenols concentration
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