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Institution

University of Cyprus

EducationNicosia, Cyprus
About: University of Cyprus is a education organization based out in Nicosia, Cyprus. It is known for research contribution in the topics: Large Hadron Collider & Standard Model. The organization has 3624 authors who have published 15157 publications receiving 412135 citations.


Papers
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Journal ArticleDOI
Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam, Federico Ambrogi  +2248 moreInstitutions (155)
TL;DR: For the first time, predictions from pythia8 obtained with tunes based on NLO or NNLO PDFs are shown to reliably describe minimum-bias and underlying-event data with a similar level of agreement to predictions from tunes using LO PDF sets.
Abstract: New sets of CMS underlying-event parameters (“tunes”) are presented for the pythia8 event generator. These tunes use the NNPDF3.1 parton distribution functions (PDFs) at leading (LO), next-to-leading (NLO), or next-to-next-to-leading (NNLO) orders in perturbative quantum chromodynamics, and the strong coupling evolution at LO or NLO. Measurements of charged-particle multiplicity and transverse momentum densities at various hadron collision energies are fit simultaneously to determine the parameters of the tunes. Comparisons of the predictions of the new tunes are provided for observables sensitive to the event shapes at LEP, global underlying event, soft multiparton interactions, and double-parton scattering contributions. In addition, comparisons are made for observables measured in various specific processes, such as multijet, Drell–Yan, and top quark-antiquark pair production including jet substructure observables. The simulation of the underlying event provided by the new tunes is interfaced to a higher-order matrix-element calculation. For the first time, predictions from pythia8 obtained with tunes based on NLO or NNLO PDFs are shown to reliably describe minimum-bias and underlying-event data with a similar level of agreement to predictions from tunes using LO PDF sets.

265 citations

BookDOI
01 Dec 2009
TL;DR: In this article, the impact of teachers' emotions in the context of teaching and education has been examined and discussed. But, the authors focus on the role of teacher attitudes in shaping the dynamics of their relationships with students.
Abstract: to Advances in Teacher Emotion Research: The Impact on Teachers' Lives.- Teacher Emotions in the Context of Teaching and Teacher Education.- Teacher Emotions: Well Being and Effectiveness.- Seeking Eudaimonia: The Emotions in Learning to Teach and to Mentor.- Emotion Management and Display in Teaching: Some Ethical and Moral Considerations in the Era of Marketization and Commercialization.- Entering the Emotional Practices of Teaching.- Student and Teacher Involvement.- Understanding the Role of Teacher Appraisals in Shaping the Dynamics of their Relationships with Students: Deconstructing Teachers' Judgments of Disruptive Behavior/Students.- Antecedents and Effects of Teachers' Emotional Experiences: An Integrated Perspective and Empirical Test.- Teacher Transactions with the Emotional Dimensions of Student Experiences with Cancer.- Emotional Scaffolding: The Emotional and Imaginative Dimensions of Teaching and Learning.- Educational Psychology Perspectives on Teachers' Emotions.- Teachers' Emotions in Times of Change.- Surviving Diversity in Times of Performativity: Understanding Teachers' Emotional Experience of Change.- Teachers' Emotions in a Context of Reforms: To a Deeper Understanding of Teachers and Reforms.- Implementing High-Quality Educational Reform Efforts: An Interpersonal Circumplex Model Bridging Social and Personal Aspects of Teachers' Motivation.- Beliefs and Professional Identity: Critical Constructs in Examining the Impact of Reform on the Emotional Experiences of Teachers.- Race, Gender and Power Relationships.- An Exploratory Study of Race and Religion in the Emotional Experience of African-American Female Teachers.- The Emotionality of Women Professors of Color in Engineering: A Critical Race Theory and Critical Race Feminism Perspective.- Emotions and Social Inequalities: Mobilizing Emotions for Social Justice Education.- A Future Agenda for Research on Teachers' Emotions in Education.- Research on Teachers' Emotions in Education: Findings, Practical Implications and Future Agenda.

265 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented a risk stratification proformas for oncology patients prior to receiving cancer therapies known to cause heart failure or other serious cardiovascular toxicities, with the aim of improving personalised approaches to minimise the risk of cardiovascular toxicity from cancer therapies.
Abstract: This position statement from the Heart Failure Association of the European Society of Cardiology Cardio-Oncology Study Group in collaboration with the International Cardio-Oncology Society presents practical, easy-to-use and evidence-based risk stratification tools for oncologists, haemato-oncologists and cardiologists to use in their clinical practice to risk stratify oncology patients prior to receiving cancer therapies known to cause heart failure or other serious cardiovascular toxicities. Baseline risk stratification proformas are presented for oncology patients prior to receiving the following cancer therapies: anthracycline chemotherapy, HER2-targeted therapies such as trastuzumab, vascular endothelial growth factor inhibitors, second and third generation multi-targeted kinase inhibitors for chronic myeloid leukaemia targeting BCR-ABL, multiple myeloma therapies (proteasome inhibitors and immunomodulatory drugs), RAF and MEK inhibitors or androgen deprivation therapies. Applying these risk stratification proformas will allow clinicians to stratify cancer patients into low, medium, high and very high risk of cardiovascular complications prior to starting treatment, with the aim of improving personalised approaches to minimise the risk of cardiovascular toxicity from cancer therapies.

264 citations

Journal ArticleDOI
TL;DR: In this paper, the asymptotic properties of the NLS estimators of such regression models were derived and compared with the traditional model that involves aggregating or equally weighting data to estimate a model at the same sampling frequency.

264 citations


Authors

Showing all 3715 results

NameH-indexPapersCitations
Luca Lista1402044110645
Peter Wittich1391646102731
Stefano Giagu1391651101569
Norbert Perrimon13861073505
Pierluigi Paolucci1381965105050
Kreso Kadija135127095988
Daniel Thomas13484684224
Julia Thom132144192288
Alberto Aloisio131135687979
Panos A Razis130128790704
Jehad Mousa130122686564
Alexandros Attikis128113677259
Fotios Ptochos128103681425
Charalambos Nicolaou128115283886
Halil Saka128113777106
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
2022126
20211,224
20201,200
20191,044
20181,009