Institution
University of Ioannina
Education•Ioannina, Greece•
About: University of Ioannina is a education organization based out in Ioannina, Greece. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 7654 authors who have published 20594 publications receiving 671560 citations. The organization is also known as: Panepistimio Ioanninon.
Papers published on a yearly basis
Papers
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Technische Universität München1, University of Hamburg2, Ohio State University3, Russian Academy of Sciences4, Karlsruhe Institute of Technology5, Harish-Chandra Research Institute6, Petersburg Nuclear Physics Institute7, Tata Institute of Fundamental Research8, Hawaii Pacific University9, University of Oulu10, University of Tübingen11, Max Planck Society12, Institut de Physique du Globe de Paris13, University of Jyväskylä14, University of Bucharest15, University of Hawaii16, University of Paris17, Drexel University18, University of Zurich19, University of Maryland, College Park20, Spanish National Research Council21, Instituto Superior Técnico22, Durham University23, George Mason University24, University of Helsinki25, RWTH Aachen University26, University of Ioannina27
TL;DR: In this paper, the authors proposed the liquid-scintillator detector LENA (Low Energy Neutrino Astronomy) as a multipurpose neutrino observatory.
258 citations
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TL;DR: In this article, the authors investigated the predicted redshift dependence of the equation of state parameter $w(z)$ for a wide range of slopes in both quintessence and phantom models and found that the best fit is very close to $s\ensuremath{\simeq}0$ corresponding to a cosmological constant.
Abstract: We study quintessence and phantom field theory models based on linear-negative potentials of the form $V(\ensuremath{\phi})=s\ensuremath{\phi}$. We investigate the predicted redshift dependence of the equation of state parameter $w(z)$ for a wide range of slopes $s$ in both quintessence and phantom models. We use the Gold data set of 157 SnIa and place constraints on the allowed range of slopes $s$. We find $s=0\ifmmode\pm\else\textpm\fi{}1.6$ for quintessence and $s=\ifmmode\pm\else\textpm\fi{}0.7\ifmmode\pm\else\textpm\fi{}1$ for phantom models (the range is at the $2\ensuremath{\sigma}$ level and the units of $s$ are in $\sqrt{3}{M}_{\mathrm{P}}{H}_{0}^{2}\ensuremath{\simeq}{10}^{\ensuremath{-}38}\text{ }\text{ }\mathrm{e}{\mathrm{V}}^{3}$ where ${M}_{\mathrm{P}}$ is the Planck mass). In both cases the best fit is very close to $s\ensuremath{\simeq}0$ corresponding to a cosmological constant. We also show that specific model independent parametrizations of $w(z)$ which allow crossing of the phantom divide line $w=\ensuremath{-}1$ (hereafter PDL) provide significantly better fits to the data. Unfortunately such crossings are not allowed in any phantom or quintessence single field model minimally coupled to gravity. Mixed models (coupled phantom-quintessence fields) can in principle lead to a $w(z)$ crossing the PDL but a preliminary investigation indicates that this does not happen for natural initial conditions.
258 citations
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TL;DR: An inventory model with general ramp type demand rate, time dependent (Weibull) deterioration rate and partial backlogging of unsatisfied demand is considered and the optimal replenishment policy for the model is derived.
257 citations
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TL;DR: The aim of the present work is to classify the emerging problems and propose satisfactory answers to magnetic drug targeting, and a general phenomenological theory is developed and a model case is studied, which incorporates all the physical parameters of the problem.
257 citations
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TL;DR: Of many proposed risk factors, only three had strong association without hints of bias, and Identification of genuine risk factors associated with endometrial cancer may assist in developing targeted prevention strategies for women at high risk.
Abstract: Although many risk factors could have causal association with endometrial cancer, they are also prone to residual confounding or other biases which could lead to over- or underestimation. This umbrella review evaluates the strength and validity of evidence pertaining risk factors for endometrial cancer. Systematic reviews or meta-analyses of observational studies evaluating the association between non-genetic risk factors and risk of developing or dying from endometrial cancer were identified from inception to April 2018 using PubMed, the Cochrane database and manual reference screening. Evidence was graded strong, highly suggestive, suggestive or weak based on statistical significance of random-effects summary estimate, largest study included, number of cases, between-study heterogeneity, 95% prediction intervals, small study effects, excess significance bias and sensitivity analysis with credibility ceilings. We identified 171 meta-analyses investigating associations between 53 risk factors and endometrial cancer incidence and mortality. Risk factors were categorised: anthropometric indices, dietary intake, physical activity, medical conditions, hormonal therapy use, biochemical markers, gynaecological history and smoking. Of 127 meta-analyses including cohort studies, three associations were graded with strong evidence. Body mass index and waist-to-hip ratio were associated with increased cancer risk in premenopausal women (RR per 5 kg/m2 1.49; CI 1.39-1.61) and for total endometrial cancer (RR per 0.1unit 1.21; CI 1.13-1.29), respectively. Parity reduced risk of disease (RR 0.66, CI 0.60-0.74). Of many proposed risk factors, only three had strong association without hints of bias. Identification of genuine risk factors associated with endometrial cancer may assist in developing targeted prevention strategies for women at high risk.
256 citations
Authors
Showing all 7724 results
Name | H-index | Papers | Citations |
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John P. A. Ioannidis | 185 | 1311 | 193612 |
Kay-Tee Khaw | 174 | 1389 | 138782 |
Elio Riboli | 158 | 1136 | 110499 |
Mercouri G. Kanatzidis | 152 | 1854 | 113022 |
Dimitrios Trichopoulos | 135 | 818 | 84992 |
Gyorgy Vesztergombi | 133 | 1444 | 94821 |
Niki Saoulidou | 132 | 1065 | 81154 |
Apostolos Panagiotou | 132 | 1370 | 88647 |
Ioannis Evangelou | 131 | 1225 | 82178 |
Ioannis Papadopoulos | 129 | 1201 | 85576 |
Nikolaos Manthos | 129 | 1256 | 81865 |
Panagiotis Kokkas | 128 | 1234 | 81051 |
Costas Foudas | 128 | 1112 | 83048 |
Zoltan Szillasi | 128 | 1214 | 84392 |
Matthias Schröder | 126 | 1421 | 82990 |