Analysis of successful modes for the implementation and use of open course ware (OCW) & open educational resources (OER) in higher education. The virtual mobility case

This article presents results from research on the use of Open Course Ware (OCW) and Open Educational Resources (OER) in Higher Education (HE). The research was carried out with leaders of OCW/OER initiatives at HE Institutions and Organizations around the world. The aim was to identify successful practices for implementation and use of OCW/OER in HE and to investigate how OCW/OER could facilitate student virtual mobility. This work has been planned as part of the project “OpenCourseWare (OCW) in the European HE context”, which was carried out with the support of the Lifelong Learning Programme of the European Union. The focus of the project is the creation of preconditions for a strong European/OCW framework and, as a consequence, a decline of obstacles to cooperation between European institutes and, therefore, an increase in real student mobility.Este trabajo muestra los resultados de una investigación sobre el uso de OCW y OER en la Educación Superior realizada entre líderes de iniciativas de OCW/OER de todo el mundo. Su propósito fue identificar prácticas de implantación y uso e investigar cómo, en particular, se podía facilitar la movilidad virtual de estudiantes. El trabajo forma parte del proyecto “Open Course Ware (OCW) in the European HE context” realizado con el soporte de Lifelong Learning Programme de la Unión Europea. El objetivo del proyecto se basa en la creación de precondiciones para un entorno fuerte europeo OCW y como consecuencia romper los obstáculos entre instituciones europeas y por ello incrementar la movilidad real de estudiantes

Defining and developing ‘enabling’ Open Education Policies in higher education

Open education (OE) aims at increasing educational access, effectiveness and equity. The 2019 UNESCO Open Educational Resources (OER) Recommendation calls on governments and educational institutions to create enabling policies. Such policies should aim to foster open educational practices in a wide sense, including creation and use of OER. Key elements of OE policies are identified: capacity building; learning accreditation/credit transfer; access and inclusivity; diverse access to knowledge; platform governance; and fostering a culture of openness. OE policies, whether standalone or incorporated into a wider openness policy, should be designed to cohere with other policies addressing open content and practices. This brief seeks to promote the involvement of a wide range of stakeholders in institutional policymaking process via a co-creation approach. Co-creation of policy enables stakeholders’ voices to be heard, supports shared understanding and ownership of policy goals, while also ensuring policy is relevant and fit for local purposes, contexts and communities

Defining and developing 'enabling' Open Education policies in higher education

Open Education (OE) aims at increasing educational access, effectiveness and equity. The 2019 UNESCO Open Educational Resources (OER) Recommendation calls on governments and educational institutions to create enabling policies. Such policies should aim to foster open educational practices in a wide sense, including creation and use of OER. Key elements of OE policies are identified: capacity building; learning accreditation/credit transfer; access and inclusivity; diverse access to knowledge; platform governance; and fostering a culture of openness. OE policies, whether standalone or incorporated into a wider openness policy, should be designed to cohere with other policies addressing open content and practices. This brief seeks to promote the involvement of a wide range of stakeholders in institutional policymaking process via a co-creation approach. Co-creation of policy enables stakeholders' voices to be heard, supports shared understanding and ownership of policy goals, while also ensuring policy is relevant and fit for local purposes, contexts and communities

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

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Bose-Einstein correlations of charged hadrons in proton-proton collisions at s\sqrt s = 13 TeV

Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s}$ = 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s}$ = 7 TeV, as well as with theoretical predictions.[graphic not available: see fulltext]Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s} =$ 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s} =$ 7 TeV, as well as with theoretical predictions

Search for dark matter in events with a leptoquark and missing transverse momentum in proton-proton collisions at 13 TeV

A search is presented for dark matter in proton-proton collisions at a center-of-mass energy of root s= 13 TeV using events with at least one high transverse momentum (p(T)) muon, at least one high-p(T) jet, and large missing transverse momentum. The data were collected with the CMS detector at the CERN LHC in 2016 and 2017, and correspond to an integrated luminosity of 77.4 fb(-1). In the examined scenario, a pair of scalar leptoquarks is assumed to be produced. One leptoquark decays to a muon and a jet while the other decays to dark matter and low-p(T) standard model particles. The signature for signal events would be significant missing transverse momentum from the dark matter in conjunction with a peak at the leptoquark mass in the invariant mass distribution of the highest p(T) muon and jet. The data are observed to be consistent with the background predicted by the standard model. For the first benchmark scenario considered, dark matter masses up to 500 GeV are excluded for leptoquark masses m(LQ) approximate to 1400 GeV, and up to 300 GeV for m(LQ) approximate to 1500 GeV. For the second benchmark scenario, dark matter masses up to 600 GeV are excluded for m(LQ) approximate to 1400 GeV. (C) 2019 The Author(s). Published by Elsevier B.V.Peer reviewe