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TL;DR: Two general k out of n constructions that are related to those of maximum size arcs or MDS codes and the notion of coloured visual secret sharing schemes is introduced and a general construction is given.
Abstract: The idea of visual k out of n secret sharing schemes was introduced in Naor. Explicit constructions for k = 2 and k = n can be found there. For general k out of n schemes bounds have been described.
Here, two general k out of n constructions are presented. Their parameters are related to those of maximum size arcs or MDS codes. Further, results on the structure of k out of n schemes, such as bounds on their parameters, are obtained. Finally, the notion of coloured visual secret sharing schemes is introduced and a general construction is given.
349 citations
TL;DR: An improved overall survival and lower acute toxicity favours the 5 × 5 Gy schedule with consolidation chemotherapy and long-course chemoradiation for cT4 or advanced cT3 rectal cancer.
271 citations
Masaryk University1, Wageningen University and Research Centre2, University of Bayreuth3, University of Greifswald4, University of Belgrade5, Düzce University6, Bulgarian Academy of Sciences7, University of Graz8, University of Göttingen9, University of the Basque Country10, Slovenian Academy of Sciences and Arts11, University of Pécs12, Research Institute for Nature and Forest13, University of Patras14, Aarhus University15, Russian Academy of Sciences16, Carlos III Health Institute17, University of Barcelona18, Complutense University of Madrid19, University of Palermo20, Ministry of Interior (Bahrain)21, Transilvania University of Brașov22, Celal Bayar University23, Martin Luther University of Halle-Wittenberg24, University of Wrocław25, Forest Research Institute26, Taras Shevchenko National University of Kyiv27, University of Novi Sad28, University of Zagreb29, University of Picardie Jules Verne30, National Research Council31, Kazan Federal University32, Babeș-Bolyai University33, University of Latvia34, Slovak Academy of Sciences35, Aristotle University of Thessaloniki36, University of Perugia37, University of Oulu38
TL;DR: The European Vegetation Archive (EVA) as mentioned in this paper is a database of European vegetation plots developed by the IAVS Working Group Europe Vegetation Survey (WGSVSS) since 2012 and made available for use in research projects in 2014.
Abstract: The European Vegetation Archive (EVA) is a centralized database of European vegetation plots developed by the IAVS Working Group European Vegetation Survey. It has been in development since 2012 and first made available for use in research projects in 2014. It stores copies of national and regional vegetation- plot databases on a single software platform. Data storage in EVA does not affect on-going independent development of the contributing databases, which remain the property of the data contributors. EVA uses a prototype of the database management software TURBOVEG 3 developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their corresponding names on a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 027 376 vegetation plots, 82% of them with geographic coordinates, from 57 countries. EVA provides a unique data source for large-scale analyses of European vegetation diversity both for fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/eva-database.
250 citations
TL;DR: In this article, the authors investigated and compared the green and conventional office buildings in middle Taiwan on various aspects of indoor environmental quality (IEQ) during a period of active air-conditioning use.
185 citations
TL;DR: OSA is an underdiagnosed nonoccupational disease that has a strong adverse effect on work accidents and calls for workplace screening in selected safety-sensitive occupations.
Abstract: STUDY OBJECTIVES: Obstructive sleep apnea (OSA) is the single most important preventable medical cause of excessive daytime sleepiness (EDS) and driving accidents. OSA may also adversely affect work performance through a decrease in productivity, and an increase in the injury rate. Nevertheless, no systematic review and meta-analysis of the relationship between OSA and work accidents has been performed thus far. METHODS: PubMed, PsycInfo, Scopus, Web of Science, and Cochrane Library were searched. Out of an initial list of 1,099 papers, 10 studies (12,553 participants) were eligible for our review, and 7 of them were included in the meta-analysis. The overall effects were measured by odds ratios (OR) and 95% confidence intervals (CIs). An assessment was made of the methodological quality of the studies. Moderator analysis and funnel plot analysis were used to explore the sources of between-study heterogeneity. RESULTS: Compared to controls, the odds of work accident was found to be nearly double in workers with OSA (OR = 2.18; 95% CI = 1.53-3.10). Occupational driving was associated with a higher effect size. CONCLUSIONS: OSA is an underdiagnosed nonoccupational disease that has a strong adverse effect on work accidents. The nearly twofold increased odds of work accidents in subjects with OSA calls for workplace screening in selected safety-sensitive occupations.Copyright © 2016 Associated Professional Sleep Societies, LLC. All rights reserved. Language: en
176 citations
Authors
Showing all 1019 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Eric L. Schwartz | 41 | 115 | 7629 |
| Maciej Zalewski | 38 | 221 | 4930 |
| Lidia Rudnicka | 36 | 294 | 4495 |
| Jerzy Walecki | 28 | 219 | 2765 |
| Edward Franek | 28 | 174 | 3390 |
| Sergio Garbarino | 28 | 136 | 2527 |
| Danuta Ryglewicz | 28 | 113 | 5680 |
| Robert J. Gil | 27 | 258 | 2769 |
| Lucyna Kepka | 25 | 90 | 1973 |
| Jarosław B. Ćwikła | 24 | 124 | 3822 |
| Eric R. Verheul | 22 | 43 | 3871 |
| Weiping Lu | 21 | 97 | 1248 |
| Anna Nasierowska-Guttmejer | 21 | 85 | 2357 |
| Mariusz Kowalewski | 21 | 89 | 1743 |
| Georgi Tchernev | 21 | 376 | 2218 |