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Institution

University of Minho

EducationBraga, Portugal
About: University of Minho is a education organization based out in Braga, Portugal. It is known for research contribution in the topics: Context (language use) & Population. The organization has 10585 authors who have published 34736 publications receiving 732436 citations. The organization is also known as: Universidade do Minho & UMinho.


Papers
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Journal ArticleDOI
TL;DR: In this article, three models with different levels of complexity and simplification were developed to overcome the complexity of the study of the seismic behavior of ancient masonry structures; by combining the results of the different models, it is possible to obtain a better and more comprehensive interpretation of seismic behavior.

206 citations

Journal ArticleDOI
TL;DR: The cytocompatibility demonstrated with human skin fibroblasts together with the healing improvement make these SF/EL scaffolds suitable for wound dressing applications.

206 citations

Journal ArticleDOI
TL;DR: An easy-to-use analysis of variance (ANOVA) framework for quantifying the performance of genetic elements and a new statistic, biomolecular part 'quality', for tracking quantitative variation in part performance across changing contexts is proposed.
Abstract: The practice of engineering biology now depends on the ad hoc reuse of genetic elements whose precise activities vary across changing contexts. Methods are lacking for researchers to affordably coordinate the quantification and analysis of part performance across varied environments, as needed to identify, evaluate and improve problematic part types. We developed an easy-to-use analysis of variance (ANOVA) framework for quantifying the performance of genetic elements. For proof of concept, we assembled and analyzed combinations of prokaryotic transcription and translation initiation elements in Escherichia coli. We determined how estimation of part activity relates to the number of unique element combinations tested, and we show how to estimate expected ensemble-wide part activity from just one or two measurements. We propose a new statistic, biomolecular part 'quality', for tracking quantitative variation in part performance across changing contexts.

205 citations

Journal ArticleDOI
TL;DR: A comparison is made between an algorithm based on Simulated Annealing and two Evolutionary Algorithms: Genetic Al algorithms (GAs) and Evolution Strategies (ESs), which seem a valid approach to the optimization of non-linear problems.

205 citations

Journal ArticleDOI
TL;DR: In this article, the performance of three reinforcement systems made out of steel, carbon and basalt textiles embedded in inorganic matrices has been investigated by means of uniaxial tensile coupon testing and bond tests on brick and stone substrates.
Abstract: Mortar-based composite materials appear particularly promising for use as externally bonded reinforcement (EBR) systems for masonry structures. Nevertheless, their mechanical performance, which may significantly differ from that of Fibre Reinforced Polymers, is still far from being fully investigated. Furthermore, standardized and reliable testing procedures have not been defined yet. The present paper provides an insight on experimental-related issues arising from campaigns on mortar-based EBRs carried out by laboratories in Italy, Portugal and Spain. The performance of three reinforcement systems made out of steel, carbon and basalt textiles embedded in inorganic matrices has been investigated by means of uniaxial tensile coupon testing and bond tests on brick and stone substrates. The experimental results contribute to the existing knowledge regarding the structural behaviour of mortar-based EBRs against tension and shear bond stress, and to the development of reliable test procedures aiming at their homogenization/standardization.

205 citations


Authors

Showing all 10921 results

NameH-indexPapersCitations
A. Gomes1501862113951
Kazuhiko Hara1411956107697
Stefano Giagu1391651101569
Georges Azuelos134129490690
Fumihiko Ukegawa133149294465
Luis M. Liz-Marzán13261661684
Francesco Lacava130104279680
Jozsef Toth130115186193
Monica Verducci12989676002
Andrea Messina12893975409
Rostislav Konoplich12881173790
Michel Vetterli12890176064
Nuno Filipe Castro12896076945
Hideki Okawa12783973603
Nazim Huseynov12683372648
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023129
2022480
20212,659
20202,640
20192,505
20182,450