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Institution

University of Extremadura

EducationBadajoz, Spain
About: University of Extremadura is a education organization based out in Badajoz, Spain. It is known for research contribution in the topics: Population & Hyperspectral imaging. The organization has 7856 authors who have published 18299 publications receiving 396126 citations. The organization is also known as: Universidad de Extremadura.


Papers
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Journal ArticleDOI
TL;DR: An mcr-3 gene detected in Europe following earlier reports from Asia and the United States is reported.
Abstract: Colistin resistance genes mcr-3 and mcr-1 have been detected in an Escherichia coli isolate from cattle faeces in a Spanish slaughterhouse in 2015. The sequences of both genes hybridised to same plasmid band of ca 250 kb, although colistin resistance was non-mobilisable. The isolate was producing extended-spectrum beta-lactamases and belonged to serotype O9:H10 and sequence type ST533. Here we report an mcr-3 gene detected in Europe following earlier reports from Asia and the United States.

100 citations

Journal ArticleDOI
TL;DR: A new sparsity-constrained deep NMF with total variation (SDNMF-TV) technique for hyperspectral unmixing, by adopting the concept of deep learning, and enforcing two constraints on the abundance matrix to exploit adequately the spectral and spatial information included in the original hyperspectrals.
Abstract: Hyperspectral unmixing is an important processing step for many hyperspectral applications, mainly including: 1) estimation of pure spectral signatures (endmembers) and 2) estimation of the abundance of each endmember in each pixel of the image. In recent years, nonnegative matrix factorization (NMF) has been highly attractive for this purpose due to the nonnegativity constraint that is often imposed in the abundance estimation step. However, most of the existing NMF-based methods only consider the information in a single layer while neglecting the hierarchical features with hidden information. To alleviate such limitation, in this paper, we propose a new sparsity-constrained deep NMF with total variation (SDNMF-TV) technique for hyperspectral unmixing. First, by adopting the concept of deep learning, the NMF algorithm is extended to deep NMF model. The proposed model consists of pretraining stage and fine-tuning stage , where the former pretrains all factors layer by layer and the latter is used to reduce the total reconstruction error. Second, in order to exploit adequately the spectral and spatial information included in the original hyperspectral image, we enforce two constraints on the abundance matrix. Specifically, the $L_{1/2}$ constraint is adopted, since the distribution of each endmember is sparse in the 2-D space. The TV regularizer is further introduced to promote piecewise smoothness in abundance maps. For the optimization of the proposed model, multiplicative update rules are derived using the gradient descent method. The effectiveness and superiority of the SDNMF-TV algorithm are demonstrated by comparing with other unmixing methods on both synthetic and real data sets.

100 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented the methodological framework of the Swanepoel method for the spectrophotometric determination of optical properties in thin films using transmittance data, and determined the refractive index, thickness, absorption index, and extinction coefficient of a nanostructured 3-mol% Y 2 O 3 -doped ZrO 2 (yttria stabilized zirconia, 3YSZ) thin film prepared by the sol-gel method and deposited by dipping onto a soda-lime glass substrate.

100 citations

Journal ArticleDOI
TL;DR: The frequencies of CYP2C9*1, *2, and *3 alleles in the Spanish population reported here were similar to those found in the previously studied white European populations, and different of the previously reported in another Spanish population.
Abstract: Objective This study analyzed the frequency of CYP2C9 variant alleles and evaluated the impact of CYP2C9 genotype on diclofenac metabolism in a Spanish population.

99 citations

Journal ArticleDOI
TL;DR: ROS production and its relevance in male fertility and antioxidant therapy is discussed with focus on molecular mechanisms and clinical evidence.
Abstract: Spermatozoa are physiologically exposed to reactive oxygen species (ROS) that play a pivotal role on several sperm functions through activation of different intracellular mechanisms involved in physiological functions such as sperm capacitation associated-events. However, ROS overproduction depletes sperm antioxidant system, which leads to a condition of oxidative stress (OS). Subfertile and infertile men are known to present higher amount of ROS in the reproductive tract which causes sperm DNA damage and results in lower fertility and pregnancy rates. Thus, there is a growing number of couples seeking fertility treatment and assisted reproductive technologies (ART) due to OS-related problems in the male partner. Interestingly, although ART can be successfully used, it is also related with an increase in ROS production. This has led to a debate if antioxidants should be proposed as part of a fertility treatment in an attempt to decrease non-physiological elevated levels of ROS. However, the rationale behind oral antioxidants intake and positive effects on male reproduction outcome is only supported by few studies. In addition, it is unclear whether negative effects may arise from oral antioxidants intake. Although there are some contrasting reports, oral consumption of compounds with antioxidant activity appears to improve sperm parameters, such as motility and concentration, and decrease DNA damage, but there is not sufficient evidence that fertility rates and live birth really improve after antioxidants intake. Moreover, it depends on the type of antioxidants, treatment duration, and even the diagnostics of the man’s fertility, among other factors. Literature also suggests that the main advantage of antioxidant therapy is to extend sperm preservation to be used during ART. Herein, we discuss ROS production and its relevance in male fertility and antioxidant therapy with focus on molecular mechanisms and clinical evidence.

99 citations


Authors

Showing all 8001 results

NameH-indexPapersCitations
Russel J. Reiter1691646121010
Donald G. Truhlar1651518157965
Manel Esteller14671396429
David J. Williams107206062440
Keijo Häkkinen9942131355
Robert H. Anderson97123741250
Leif Bertilsson8732123933
Mario F. Fraga8426732957
YangQuan Chen84104836543
Antonio Plaza7963129775
Robert D. Gibbons7534926330
Jocelyn Chanussot7361427949
Naresh Magan7240017511
Luis Puelles7126919858
Jun Li7079919510
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202353
2022206
20211,260
20201,344
20191,230
20181,003