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: The type, quantity or quality of soil ecosystem services (ES) depends on the specific environmental characteristics that will determine soil properties and functions and the valuation of soil ES depends on natural features and management type as discussed by the authors.
165 citations
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TL;DR: In this article, the formation and properties of Cd(OH)2 and CdO particles were monitored by X-ray powder diffraction (XRD), DTA, FT-IR spectroscopy and Field Emission SEM.
165 citations
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TL;DR: The Delphi process allowed a consensus to be achieved in an area where there are limitations to the current evidence, and the final guidelines recommend that every area has a multi-agency psychosocial care planning group.
Abstract: Background
How best to plan and provide psychosocial care following disasters remains keenly debated.
Aims
To develop evidence-informed post-disaster psychosocial management guidelines.
Method
A three-round web-based Delphi process was conducted. One hundred and six experts rated the importance of statements generated from existing evidence using a one to nine scale. Participants reassessed their original scores in the light of others’ responses in the subsequent rounds.
Results
A total of 80 (72%) of 111 statements achieved consensus for inclusion. The statement ‘all responses should provide access to pharmacological assessment and management’ did not achieve consensus. The final guidelines recommend that every area has a multi-agency psychosocial care planning group, that responses provide general support, access to social, physical and psychological support and that specific mental health interventions are only provided if indicated by a comprehensive assessment. Trauma-focused cognitive–behavioural therapy (CBT) is recommended for acute stress disorder or acute post-traumatic stress disorder, with other treatments with an evidence base for chronic post-traumatic stress disorder being made available if trauma-focused CBT is not tolerated.
Conclusions
The Delphi process allowed a consensus to be achieved in an area where there are limitations to the current evidence.
164 citations
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TL;DR: A new method PIADA (Protein Interaction Atom Distance Algorithm) is offered for the determination of residue interaction pairs and it is found that PIADA produced more satisfactory results than comparable algorithms implemented in PSAIA.
Abstract: PSAIA (Protein Structure and Interaction Analyzer) was developed to compute geometric parameters for large sets of protein structures in order to predict and investigate protein-protein interaction sites. In addition to most relevant established algorithms, PSAIA offers a new method PIADA (Protein Interaction Atom Distance Algorithm) for the determination of residue interaction pairs. We found that PIADA produced more satisfactory results than comparable algorithms implemented in PSAIA. Particular advantages of PSAIA include its capacity to combine different methods to detect the locations and types of interactions between residues and its ability, without any further automation steps, to handle large numbers of protein structures and complexes. Generally, the integration of a variety of methods enables PSAIA to offer easier automation of analysis and greater reliability of results. PSAIA can be used either via a graphical user interface or from the command-line. Results are generated in either tabular or XML format. In a straightforward fashion and for large sets of protein structures, PSAIA enables the calculation of protein geometric parameters and the determination of location and type for protein-protein interaction sites. XML formatted output enables easy conversion of results to various formats suitable for statistic analysis. Results from smaller data sets demonstrated the influence of geometry on protein interaction sites. Comprehensive analysis of properties of large data sets lead to new information useful in the prediction of protein-protein interaction sites.
164 citations
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Jaroslav Adam1, Dagmar Adamová2, Madan M. Aggarwal3, G. Aglieri Rinella4 +988 more•Institutions (95)
TL;DR: In this article, the transverse-momentum (pT) dependence of the inclusive J/ψ production in p-Pb collisions at √sNN = 5.02 TeV, in three center-of-mass rapidity (ycms) regions, down to zero pT.
Abstract: We have studied the transverse-momentum (pT) dependence of the inclusive J/ψ production in p-Pb collisions at √sNN = 5.02 TeV, in three center-of-mass rapidity (ycms) regions, down to zero pT. Results in the forward and backward rapidity ranges (2.03 < ycms < 3.53 and −4.46 < ycms < −2.96) are obtained by studying the J/ψ decay to µ +µ −, while the mid-rapidity region (−1.37 < ycms < 0.43) is investigated by measuring the e+e − decay channel. The pT dependence of the J/ψ production cross section and nuclear modification factor are presented for each of the rapidity intervals, as well as the J/ψ mean pT values. Forward and mid-rapidity results show a suppression of the J/ψ yield, with respect to pp collisions, which decreases with increasing pT. At backward rapidity no significant J/ψ suppression is observed. Theoretical models including a combination of cold nuclear matter effects such as shadowing and partonic energy loss, are in fair agreement with the data, except at forward rapidity and low transverse momentum. The implications of the p-Pb results for the evaluation of cold nuclear matter effects on J/ψ production in Pb-Pb collisions are also discussed.
164 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 |