130,689 research outputs found

    Transformative Leadership and Sustainable Innovation in Education: Interdisciplinary Perspectives

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    Sandra Baroudi is an Assistant Professor at the College of Interdisciplinary Studies, Zayed University, Dubai, UAE. Dr. Baroudi is a highly skilled trainer and curriculum designer in the field of leadership and policy, and teaching and learning. Miltiadis D. Lytras is a world-class expert in the fields of cognitive computing, information systems, technology enabled innovation, social networks, computers in human behavior, and knowledge management. Dr. Lytras is an editor, lecturer, and research consultant, with extensive experience in academia and the business sector in Europe and Asia. Dr. Lytras is a visiting scholar in the Effat University, Jeddah, Kingdom of Saudi Arabia.t is essential to learn what innovative practices and leadership approaches are adopted in the education sector to solve challenges such as digital transformations, inefficiencies in higher education administration models, and the need for a connection between innovation and sustainability within the curriculum. Transformative Leadership and Sustainable Innovation in Education addresses these topics, discussing several possible transformations at the policy, classroom, and research levels. Adopting an interdisciplinary approach, scholars from three main disciplines of education, business, and IT consider both a leadership and management perspective and an educational perspective. This integration of research, academia and industry bridges the gap between theory and practice, tackling how to make schools a sustainable enterprise, how to sustain student learning through leadership practices, and exploring the disruptive impact of artificial intelligence and other technologies on higher education. Transformative Leadership and Sustainable Innovation in Education is a valuable resource to a diverse network of policy makers, school and university leaders, educators, practitioners, curriculum designers, innovators, and investors who want to collaborate to identify and implement innovations that transform education and research

    High-cycle fatigue model calibration with a deterministic optimization approach

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    Funding Information: Co-funded by the European Union (Grant Agreement No. 101058179; ENGINE). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. All authors have read and agreed to the final version of the manuscript, except D. Baroudi who untimely passed away before the review of the first manuscript was received. Funding Information: Co-funded by the European Union (Grant Agreement No. 101058179 ; ENGINE). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. All authors have read and agreed to the final version of the manuscript, except D. Baroudi who untimely passed away before the review of the first manuscript was received. Publisher Copyright: © 2023 The Author(s)A parameter identification approach is proposed to calibrate the Ottosen high cycle fatigue model using numerical optimization with regularization. The damage evolution was predicted by a continuum approach based on a moving endurance surface in the stress space, so the stress states outside the endurance surface may lead to damage evolution. The calibration of the model relied on uniaxial and multiaxial experimental data. The predictions of the calibrated models were in fair agreement with the experimental data for the 7075-T7451 and 7050-T6 aluminum alloys subjected to cyclic uniaxial and multiaxial loadings.Peer reviewe

    Nonlinear dynamics of uniformly loaded Elastica: Experimental and numerical evidence of motion around curled stable equilibrium configurations

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    It has been numerically observed and mathematically proven that for a clamped Euler's Elastica, which is uniformly loaded, there exist, in large deformations, some 'undocumented' equilibrium configurations which resemble a curled pending wire. Even if Elastica is one of the most studied model in mathematical physics, we could not find in the literature any description of an equilibrium like the one whose existence was forecast theoretically in [36]. In this paper, we prove that this kind of equilibrium configurations can be actually observed experimentally when using 'soft' beams. We mean with soft beams: Elasticae whose ratio between the applied load intensity and the bending stiffness is large enough. Moreover, we prove experimentally that such equilibrium configurations are actually stable, by observing their oscillations around the considered nonstandard equilibrium configuration. To describe theoretically such oscillations we consider, instead of a 'soft' Elastica model, directly a Hencky-type discrete model, i.e. a 'masses-springs' finite dimensional Lagrangian model. In this way we formulate, avoiding the use of an intermediate continuum model, a model for which numerical simulations can be performed without the introduction of any further discretization. In this way, we can also predict quantitatively the motions of soft beams, in the regime of large displacements and deformations. Postponing to future investigations more careful quantitative measurements, we report here that it was possible to get a rather promising qualitative agreement between observed motions and predictive numerical simulations

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Direct H/OR and OR/OR′ Metathesis Pathways in Ester Hydrogenation and Transesterification by Milstein’s Catalyst

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    Using DFT calculations we identify a low-energy reaction path connecting methyl acetate and Milstein's trans-[Ru(H)2(PNN)(CO)] catalyst directly with acetaldehyde and trans-[Ru(H)(OMe)(PNN)(CO)]. The transformation represents a metathesis in which a hydride and an alkoxide are swapped between a metal center and an acyl group. The reaction leads to a simple mechanism systematically applicable to the diverse hydrogenation and dehydrogenative coupling chemistry that can be achieved by the given catalyst. © 2013 American Chemical Society.Balaraman E, 2011, NAT CHEM, V3, P609, DOI [10.1038-nchem.1089, 10.1038-NCHEM.1089]; Balaraman E, 2010, J AM CHEM SOC, V132, P16756, DOI 10.1021-ja1080019; Balaraman E, 2012, CHEM COMMUN, V48, P1111, DOI 10.1039-c1cc15778g; Balaraman E, 2011, ANGEW CHEM INT EDIT, V50, P11702, DOI 10.1002-anie.201106612; Dub PA, 2012, ACS CATAL, V2, P1718, DOI 10.1021-cs300341g; Ghosh SC, 2009, ADV SYNTH CATAL, V351, P2643, DOI 10.1002-adsc.200900482; Gnanaprakasam B, 2011, J AM CHEM SOC, V133, P1682, DOI 10.1021-ja109944n; Gnanaprakasam B, 2012, J POLYM SCI POL CHEM, V50, P1755, DOI 10.1002-pola.25943; Gnanaprakasam B, 2010, ADV SYNTH CATAL, V352, P3169, DOI 10.1002-adsc.201000663; Gunanathan C, 2011, ACCOUNTS CHEM RES, V44, P588, DOI 10.1021-ar2000265; Gunanathan C, 2007, SCIENCE, V317, P790, DOI 10.1126-science.1145295; Gunanathan C, 2011, TOP ORGANOMETAL CHEM, V37, P55, DOI 10.1007-3418_2011_6; Hasanayn F, 2010, INORG CHEM, V49, P9162, DOI 10.1021-ic100198u; Hasanayn F, 2012, INORG CHEM, V51, P10808, DOI 10.1021-ic301233j; Iron MA, 2009, DALTON T, P9433, DOI 10.1039-b909852f; Ito M, 2009, ANGEW CHEM INT EDIT, V48, P1324, DOI 10.1002-anie.200805307; Ito M, 2011, J AM CHEM SOC, V133, P4240, DOI 10.1021-ja1117254; John JM, 2011, ANGEW CHEM INT EDIT, V50, P10377, DOI 10.1002-anie.201103137; Khaskin E, 2010, J AM CHEM SOC, V132, P8542, DOI 10.1021-ja103130u; Kuriyama W., 2011, CHEM COMMUN, P62, Patent No. WO2011048727A1; Langer R, 2011, ANGEW CHEM INT EDIT, V50, P9948, DOI 10.1002-anie.201104542; Li HX, 2011, ORGANOMETALLICS, V30, P5233, DOI 10.1021-om200620n; Li W, 2012, GREEN CHEM, V14, P2388, DOI 10.1039-c2gc35650c; Milstein D, 2010, TOP CATAL, V53, P915, DOI 10.1007-s11244-010-9523-7; Montag M, 2012, J AM CHEM SOC, V134, P10325, DOI 10.1021-ja303121v; Nielsen M, 2012, ANGEW CHEM INT EDIT, V51, P5711, DOI 10.1002-anie.201200625; Prechtl M. H. G., 2012, CATAL SCI TECHNOL, V2, P203; Saudan L., 2006, ACS CATAL, Patent No. WO 2006106484; Saudan LA, 2007, ANGEW CHEM INT EDIT, V46, P7473, DOI 10.1002-anie.200701015; Schmeier TJ, 2011, J AM CHEM SOC, V133, P9274, DOI 10.1021-ja2035514; Spasyuk D, 2012, ANGEW CHEM INT EDIT, V51, P2772, DOI 10.1002-anie.201108956; Spasyuk D, 2012, ORGANOMETALLICS, V31, P5239, DOI 10.1021-om300670r; Sun YS, 2011, CHEM COMMUN, V47, P8349, DOI 10.1039-c1cc12601f; Takebayashi S, 2011, J AM CHEM SOC, V133, P9666, DOI 10.1021-ja202732q; Takebayashi S, 2009, ORGANOMETALLICS, V28, P2349, DOI 10.1021-om9002076; Yang XZ, 2011, INORG CHEM, V50, P12836, DOI 10.1021-ic2020176; Zeng HX, 2011, J AM CHEM SOC, V133, P1159, DOI 10.1021-ja106958s; Zhang J, 2006, ANGEW CHEM INT EDIT, V45, P1113, DOI 10.1002-anie.200503771; Zhang J, 2005, J AM CHEM SOC, V127, P10840, DOI 10.1021-ja052862b; Zweifel T, 2009, ANGEW CHEM INT EDIT, V48, P559, DOI 10.1002-anie.20080475747

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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