Institution
University of Madeira
Education•Funchal, Portugal•
About: University of Madeira is a education organization based out in Funchal, Portugal. It is known for research contribution in the topics: Population & Dendrimer. The organization has 1014 authors who have published 2759 publications receiving 59457 citations.
Papers published on a yearly basis
Papers
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TL;DR: The volatile composition from four types of multifloral Portuguese honeys was investigated by a suitable analytical procedure based on dynamic headspace solid-phase microextraction (HS-SPME) followed by thermal desorption gas chromatography-quadrupole mass spectrometry detection (GC-qMS).
86 citations
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TL;DR: The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
Abstract: High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol—which is a marker of cardiovascular risk—changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million–4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
86 citations
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University of Miami1, University of South Florida2, Aberystwyth University3, University of Hawaii4, University of Minnesota5, United States Geological Survey6, National Oceanography Centre7, Instituto Nacional de Saúde Dr. Ricardo Jorge8, University of Lisbon9, Environment Canada10, University of Ljubljana11, University of Wisconsin–Milwaukee12, University of Madeira13, Centraalbureau voor Schimmelcultures14, Tel Aviv University15, University of Brighton16, Polytechnic Institute of Lisbon17
TL;DR: The literature on pathogen levels in beach sand, and their potential for affecting human health, is reviewed, to provide specific recommendations for sand sampling programmes and to provide background on spatial distribution and temporal characteristics of microbes in sand.
Abstract: Recent studies suggest that sand can serve as a vehicle for exposure of humans to pathogens at beach sites, resulting in increased health risks. Sampling for microorganisms in sand should therefore be considered for inclusion in regulatory programmes aimed at protecting recreational beach users from infectious disease. Here, we review the literature on pathogen levels in beach sand, and their potential for affecting human health. In an effort to provide specific recommendations for sand sampling programmes, we outline published guidelines for beach monitoring programmes, which are currently focused exclusively on measuring microbial levels in water. We also provide background on spatial distribution and temporal characteristics of microbes in sand, as these factors influence sampling programmes. First steps toward establishing a sand sampling programme include identifying appropriate beach sites and use of initial sanitary assessments to refine site selection. A tiered approach is recommended for monitoring. This approach would include the analysis of samples from many sites for faecal indicator organisms and other conventional analytes, while testing for specific pathogens and unconventional indicators is reserved for high-risk sites. Given the diversity of microbes found in sand, studies are urgently needed to identify the most significant aetiological agent of disease and to relate microbial measurements in sand to human health risk.
85 citations
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TL;DR: Electrochemical impedance spectroscopy measurements revealed that an increase in the immersion time of steel in an acidic medium decreased the charge transfer resistance (Rct) and thus decreased the inhibition efficiency.
85 citations
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TL;DR: It is demonstrated that a low transfection level can be sufficient for inducing in vitro differentiation of MSCs to the osteoblast phenotype but also highlights the importance of focusing research on the development of gene delivery vectors in the concrete application.
85 citations
Authors
Showing all 1027 results
Name | H-index | Papers | Citations |
---|---|---|---|
Dirk Helbing | 101 | 642 | 56810 |
Xiangyang Shi | 79 | 470 | 22028 |
Jodi Forlizzi | 67 | 237 | 17292 |
Armando J. D. Silvestre | 64 | 381 | 14739 |
John W. Clark | 60 | 707 | 13999 |
José Luís da Silva | 59 | 235 | 11972 |
Carmen S. R. Freire | 58 | 239 | 10307 |
Jose Luis Santos | 54 | 402 | 9004 |
Vladimir V. Konotop | 53 | 426 | 11073 |
A. R. Bishop | 51 | 551 | 11946 |
Manfred Kaufmann | 46 | 266 | 20172 |
José D. Santos | 45 | 220 | 5875 |
Vassilis Kostakos | 45 | 270 | 7015 |
Pedro L. Granja | 44 | 132 | 5969 |
Stéphane Cordier | 43 | 371 | 6802 |