Institution
University of Zagreb
Education•Zagreb, Grad Zagreb, Croatia•
About: University of Zagreb is a education organization based out in Zagreb, Grad Zagreb, Croatia. It is known for research contribution in the topics: Population & European union. The organization has 21769 authors who have published 50267 publications receiving 783239 citations. The organization is also known as: Zagreb University & Sveučilište u Zagrebu.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, an analytical method for calculation of no-load magnetic field distribution in the slotted air gap of a surface permanent-magnet (PM) motor with radial or parallel magnetization is presented.
Abstract: We present an analytical method for calculation of no-load magnetic field distribution in the slotted air gap of a surface permanent-magnet (PM) motor with radial or parallel magnetization. The method introduces the notion of complex relative air-gap permeance, calculated from the conformal transformation of the slot geometry, to take into account the effect of slotting. As a result, an accurate solution of both radial and tangential components of the flux density can be obtained which shows excellent agreement with the results of finite-element simulations. As an example of the effectiveness of the model, we present calculations of the back electromotive force and the cogging torque waveforms in a surface PM motor.
529 citations
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TL;DR: In this article, the authors present a context framework that identifies relevant context dimensions for TEL applications and present an analysis of existing TEL recommender systems along these dimensions, based on their survey results, they outline topics on which further research is needed.
Abstract: Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely diverse and rich environments, the incorporation of contextual information about the user in the recommendation process has attracted major interest. Such contextualization is researched as a paradigm for building intelligent systems that can better predict and anticipate the needs of users, and act more efficiently in response to their behavior. In this paper, we try to assess the degree to which current work in TEL recommender systems has achieved this, as well as outline areas in which further work is needed. First, we present a context framework that identifies relevant context dimensions for TEL applications. Then, we present an analysis of existing TEL recommender systems along these dimensions. Finally, based on our survey results, we outline topics on which further research is needed.
527 citations
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University of Nottingham1, King Saud Medical City2, International Centre for Diarrhoeal Disease Research, Bangladesh3, Government Medical College, Thiruvananthapuram4, Centers for Disease Control and Prevention5, Ljubljana University Medical Centre6, Kantonsspital St. Gallen7, Institut de veille sanitaire8, Children's Hospital at Westmead9, Mexican Social Security Institute10, Medical University of Vienna11, Capital Medical University12, University of Barcelona13, University of Colorado Denver14, State University of West Paraná15, Sheba Medical Center16, University of Manitoba17, Peking University18, National Institutes of Health19, Hospital General Universitario Gregorio Marañón20, Statens Serum Institut21, Imperial College London22, Boston Children's Hospital23, Peking Union Medical College Hospital24, Dhaka Medical College and Hospital25, Universidade Federal de Ciências da Saúde de Porto Alegre26, Gold Coast Hospital27, Tehran University of Medical Sciences28, University of Oxford29, University of Zagreb30, Pamela Youde Nethersole Eastern Hospital31, Stellenbosch University32, Shiraz University of Medical Sciences33, Tan Tock Seng Hospital34, University of Helsinki35, China Medical University (PRC)36, King Hussein Cancer Center37, University of Toronto38, Alfaisal University39, Erciyes University40, Lithuanian University of Health Sciences41, Military Medical Academy42, Haukeland University Hospital43, University of Bergen44, Shahid Beheshti University of Medical Sciences and Health Services45, Johns Hopkins University School of Medicine46, University of Birmingham47, Rambam Health Care Campus48, Vanderbilt University49, Charité50, University of Bristol51, Yüzüncü Yıl University52, Oswaldo Cruz Foundation53, Rzeszów University54, University Hospital of Basel55, Medical University of Warsaw56, University of Alberta57, University of Alberta Hospital58, University of Hong Kong59, National Center for Immunization and Respiratory Diseases60, VU University Medical Center61
TL;DR: There was an increase in the mortality hazard rate with each day's delay in initiation of treatment up to day 5 as compared with treatment initiated within 2 days of symptom onset, and early treatment versus no treatment was also associated with a reduction in mortality risk.
527 citations
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TL;DR: In this paper, a new improved relativistic mean-field effective interaction with explicit density dependence of the meson-nucleon couplings was proposed. But it was only applied to the analysis of very recent data on superheavy nuclei.
Abstract: We adjust a new improved relativistic mean-field effective interaction with explicit density dependence of the meson-nucleon couplings. The effective interaction DD-ME2 is tested in relativistic Hartree-Bogoliubov and quasiparticle random-phase approximation (QRPA) calculations of nuclear ground states and properties of excited states, in calculation of masses, and it is applied to the analysis of very recent data on superheavy nuclei.
526 citations
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Umeå University1, University of Queensland2, North-West University3, Tilburg University4, National Research University – Higher School of Economics5, Victoria University of Wellington6, University of Lyon7, Stanford University8, Peking University9, Southwest University10, University of Zagreb11, Academy of Sciences of the Czech Republic12, Tallinn University13, University of Provence14, Heidelberg University15, Panteion University16, Tel-Hai Academic College17, Kyorin University18, Gunma University19, Hosei University20, Vilnius University21, Klaipėda University22, Universidad de Sonora23, The Catholic University of America24, University of Coimbra25, University of the Algarve26, Moscow State University27, University of Education, Winneba28, Tver State University29, Saratov State University30, Saint Petersburg State University31, Russian Academy32, Complutense University of Madrid33, University of East London34, Google35
TL;DR: In this paper, the structural equivalence of the Zimbardo Time Perspective Inventory (ZTPI) across 26 samples from 24 countries (N = 12,200) was assessed.
Abstract: In this article, we assess the structural equivalence of the Zimbardo Time Perspective Inventory (ZTPI) across 26 samples from 24 countries (N = 12,200). The ZTPI is proven to be a valid and reliable index of individual differences in time perspective across five temporal categories: Past Negative, Past Positive, Present Fatalistic, Present Hedonistic, and Future. We obtained evidence for invariance of 36 items (out of 56) and also the five-factor structure of ZTPI across 23 countries. The short ZTPI scales are reliable for country-level analysis, whereas we recommend the use of the full scales for individual-level analysis. The short version of ZTPI will further promote integration of research in the time perspective domain in relation to many different psycho-social processes.
525 citations
Authors
Showing all 22096 results
Name | H-index | Papers | Citations |
---|---|---|---|
Harry Campbell | 150 | 897 | 115457 |
Joseph R. Ecker | 148 | 381 | 94860 |
Igor Rudan | 142 | 658 | 103659 |
Nikola Godinovic | 138 | 1469 | 100018 |
Ivica Puljak | 134 | 1436 | 97548 |
Damir Lelas | 133 | 1354 | 93354 |
Željko Ivezić | 129 | 344 | 84365 |
Piotr Ponikowski | 120 | 762 | 131682 |
Marin Soljacic | 117 | 764 | 51444 |
Ivan Dikic | 107 | 359 | 52088 |
Ozren Polasek | 102 | 436 | 52674 |
Mordechai Segev | 99 | 729 | 40073 |
Srdan Verstovsek | 96 | 1045 | 38936 |
Segev BenZvi | 95 | 482 | 32127 |
Mirko Planinic | 94 | 467 | 31957 |