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Institution

Federal University of Mato Grosso do Sul

EducationCampo Grande, Brazil
About: Federal University of Mato Grosso do Sul is a education organization based out in Campo Grande, Brazil. It is known for research contribution in the topics: Population & Species richness. The organization has 6903 authors who have published 9030 publications receiving 78977 citations. The organization is also known as: UFMS & Federal University of Mato Grosso do Sul.


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Journal ArticleDOI
18 Aug 2019-Sensors
TL;DR: Three state-of-the-art object detection methods were evaluated: Faster Region-based Convolutional Neural Network (Faster R-CNN), YOLOv3 and RetinaNet, and delivered average precision around 92% with an associated processing times below 30 miliseconds.
Abstract: Detection and classification of tree species from remote sensing data were performed using mainly multispectral and hyperspectral images and Light Detection And Ranging (LiDAR) data. Despite the comparatively lower cost and higher spatial resolution, few studies focused on images captured by Red-Green-Blue (RGB) sensors. Besides, the recent years have witnessed an impressive progress of deep learning methods for object detection. Motivated by this scenario, we proposed and evaluated the usage of Convolutional Neural Network (CNN)-based methods combined with Unmanned Aerial Vehicle (UAV) high spatial resolution RGB imagery for the detection of law protected tree species. Three state-of-the-art object detection methods were evaluated: Faster Region-based Convolutional Neural Network (Faster R-CNN), YOLOv3 and RetinaNet. A dataset was built to assess the selected methods, comprising 392 RBG images captured from August 2018 to February 2019, over a forested urban area in midwest Brazil. The target object is an important tree species threatened by extinction known as Dipteryx alata Vogel (Fabaceae). The experimental analysis delivered average precision around 92% with an associated processing times below 30 miliseconds.

114 citations

Journal ArticleDOI
TL;DR: There are distinct shared anomalous regions (SARs) found in both chromosomes as the result of horizontal gene transfer unique to Brucella and not shared with its closest relative Ochrobactrum, a soil bacterium, suggesting their acquisition occurred in spite of a predominantly intracellular lifestyle.
Abstract: The facultative intracellular bacterial pathogen Brucella infects a wide range of warm-blooded land and marine vertebrates and causes brucellosis. Currently, there are nine recognized Brucella species based on host preferences and phenotypic differences. The availability of 10 different genomes consisting of two chromosomes and representing six of the species allowed for a detailed comparison among themselves and relatives in the order Rhizobiales. Phylogenomic analysis of ortholog families shows limited divergence but distinct radiations, producing four clades as follows: Brucella abortus-Brucella melitensis, Brucella suis-Brucella canis, Brucella ovis, and Brucella ceti. In addition, Brucella phylogeny does not appear to reflect the phylogeny of Brucella species' preferred hosts. About 4.6% of protein-coding genes seem to be pseudogenes, which is a relatively large fraction. Only B. suis 1330 appears to have an intact β-ketoadipate pathway, responsible for utilization of plant-derived compounds. In contrast, this pathway in the other species is highly pseudogenized and consistent with the “domino theory” of gene death. There are distinct shared anomalous regions (SARs) found in both chromosomes as the result of horizontal gene transfer unique to Brucella and not shared with its closest relative Ochrobactrum, a soil bacterium, suggesting their acquisition occurred in spite of a predominantly intracellular lifestyle. In particular, SAR 2-5 appears to have been acquired by Brucella after it became intracellular. The SARs contain many genes, including those involved in O-polysaccharide synthesis and type IV secretion, which if mutated or absent significantly affect the ability of Brucella to survive intracellularly in the infected host.

114 citations

Journal ArticleDOI
TL;DR: These medicinal plants were more often sought for analgesic use and for symptoms related to the genitourinary, respiratory and skeletomuscular systems, connective tissue and dyspepsia/maldigestion.
Abstract: A survey of the medicinal plants requested from and/or indicated by herb sellers operating in the central area of Campo Grande, Mato Grosso do Sul, Brazil, was performed at two different times - 1992 and 2002. The first survey revealed 27 species being used; the second one, 32 species. The species most often consumed (Maytenus cf. macrodonta, ‘cancorosa’; Baccharis trimera, ‘carqueja’; Achyrocline alata, ‘jatei-kaa’; Stryphnodendron adstringens, ‘barbatimao’; Cochlospermum regium, ‘algodaozinho’, and Echinodorus macrophyllus, ‘chapeu-de-couro’) were acquired for identification and evaluation of their quality. On both occasions, the quality of the samples was negatively affected by features that made them inappropriate for human consumption. The results of both surveys agreed as to the species most used. Also, a satisfactory degree of coherence was found regarding the data available on the self-medication behavior of the population of Campo Grande. These medicinal plants were more often sought for analgesic use and for symptoms related to the genitourinary, respiratory and skeletomuscular systems, connective tissue and dyspepsia/maldigestion.

114 citations

Journal ArticleDOI
TL;DR: In this article, a review summarises recent developments in the electrochemical, photochemical and physical deposition techniques for Pt NPs on various supports and their effects on the physicochemical properties and electrocatalytic activity towards the ORR.

111 citations

Journal ArticleDOI
TL;DR: The present results indicate that tormentic acid or its derivatives might be of potential interest in the development of new clinically relevant drugs for the management of persistent neuropathic and inflammatory allodynia.

111 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202324
2022121
20211,091
20201,252
2019971
2018844