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Institution

University of Coimbra

EducationCoimbra, Portugal
About: University of Coimbra is a education organization based out in Coimbra, Portugal. It is known for research contribution in the topics: Population & Context (language use). The organization has 14318 authors who have published 43067 publications receiving 994733 citations. The organization is also known as: UC & Universidade dos Estudos Gerais.


Papers
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Journal ArticleDOI
TL;DR: Extracted insulin from microspheres decreased hyperglycemia of diabetic rats proving to be bioactive and showing that encapsulation in alginatemicrospheres using the emulsification/internal gelation is an appropriate method for protein encapsulation.

193 citations

Journal ArticleDOI
TL;DR: A new AIR method is proposed, based on the combination of image segmentation and SIFT, complemented by a robust procedure of outlier removal, which allows for an accurate obtention of tie points for a pair of remote sensing images, being a powerful scheme for AIR.
Abstract: Automatic image registration (AIR) is still a present challenge for the remote sensing community. Although a wide variety of AIR methods have been proposed in the last few years, there are several drawbacks which avoid their common use in practice. The recently proposed scale invariant feature transform (SIFT) approach has already revealed to be a powerful tool for the obtention of tie points in general image processing tasks, but it has a limited performance when directly applied to remote sensing images. In this paper, a new AIR method is proposed, based on the combination of image segmentation and SIFT, complemented by a robust procedure of outlier removal. This combination allows for an accurate obtention of tie points for a pair of remote sensing images, being a powerful scheme for AIR. Both synthetic and real data have been considered in this work for the evaluation of the proposed methodology, comprising medium and high spatial resolution images, and single-band, multispectral, and hyperspectral images. A set of measures which allow for an objective evaluation of the geometric correction process quality has been used. The proposed methodology allows for a fully automatic registration of pairs of remote sensing images, leading to a subpixel accuracy for the whole considered data set. Furthermore, it is able to account for differences in spectral content, rotation, scale, translation, different viewpoint, and change in illumination.

193 citations

Journal ArticleDOI
TL;DR: The aim of this review was to identify and synthesise the most significant literature addressing talent identification and development in football, and indicate that the most successful players present technical, tactical, anthropometric, physiological and psychological advantages that change non-linearly with age, maturational status and playing positions.
Abstract: Expertise has been extensively studied in several sports over recent years. The specificities of how excellence is achieved in Association Football, a sport practiced worldwide, are being repeatedly investigated by many researchers through a variety of approaches and scientific disciplines. The aim of this review was to identify and synthesise the most significant literature addressing talent identification and development in football. We identified the most frequently researched topics and characterised their methodologies. A systematic review of Web of Science™ Core Collection and Scopus databases was performed according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines. The following keywords were used: “football” and “soccer”. Each word was associated with the terms “talent”, “expert*”, “elite”, “elite athlete”, “identification”, “career transition” or “career progression”. The selection was for the original articles in English containing relevant data about talent development/identification on male footballers. The search returned 2944 records. After screening against set criteria, a total of 70 manuscripts were fully reviewed. The quality of the evidence reviewed was generally excellent. The most common topics of analysis were (1) task constraints: (a) specificity and volume of practice; (2) performers’ constraints: (a) psychological factors; (b) technical and tactical skills; (c) anthropometric and physiological factors; (3) environmental constraints: (a) relative age effect; (b) socio-cultural influences; and (4) multidimensional analysis. Results indicate that the most successful players present technical, tactical, anthropometric, physiological and psychological advantages that change non-linearly with age, maturational status and playing positions. These findings should be carefully considered by those involved in the identification and development of football players. This review highlights the need for coaches and scouts to consider the players’ technical and tactical skills combined with their anthropometric and physiological characteristics scaled to age. Moreover, research addressing the psychological and environmental aspects that influence talent identification and development in football is currently lacking. The limitations detected in the reviewed studies suggest that future research should include the best performers and adopt a longitudinal and multidimensional perspective.

193 citations

Journal ArticleDOI
TL;DR: In this article, the authors analyze the impact of TQM on innovation in the Portuguese footwear industry and find that the impact depends both on the specific quality management elements under consideration and on the type of innovation.

193 citations

Journal ArticleDOI
TL;DR: The approach presented here can apply not only to conventional processors but also to other technologies such as Field Programmable Gate Arrays (FPGA), Graphical Processing Units (GPU), and the STI Cell BE processor.

193 citations


Authors

Showing all 14693 results

NameH-indexPapersCitations
P. Chang1702154151783
Yang Gao1682047146301
Bin Liu138218187085
P. Sinervo138151699215
Filipe Veloso12888775496
Panagiotis Kokkas128123481051
Nuno Filipe Castro12896076945
Robert Gardner128101577619
Francois Corriveau128102275729
Peter Krieger128117181368
João Carvalho126127877017
Helmut Wolters12685175721
Nicola Venturi12679669518
Sai-Juan Chen121121173991
Harinder Singh Bawa12079866120
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023112
2022530
20213,238
20203,193
20193,090