scholarly journals Classification Based on Rules for the Study of Cotton Productivity in the State of Mato Grosso

2021 ◽  
Vol 28 (2) ◽  
pp. 66-89
Author(s):  
Alexandra Virgínia Valente da Silva ◽  
Carlos Manoel Pedro Vaz ◽  
Ednaldo José Ferreira ◽  
Rafael Galbieri
Keyword(s):  
Data Mining ◽  
The State ◽  
Cotton Production ◽  
Mato Grosso ◽  
Brazilian Savannah ◽  
Numerical Attributes ◽  
Tool Performance ◽  
Efficient Data ◽  
Increase In Productivity ◽  
Statistical Metrics

The advance of cotton farming in the Brazilian savannah boosted and made possible a highly technified, efficient and profitable production, elevating the country from the condition of cotton fiber importer in the 70s to one of the main exporters so far. Despite the increasing contribution of technologies such as transgenic cultivars, machines, inputs and more efficient data management, in recent years there has been a stagnation of cotton productivity in the State of Mato Grosso (MT). Data Mining (MD) techniques offer an excellent opportunity to assess this problem. Through the rules-based classification applied to a real database (BD) of cotton production in MT, factors were identified that were affecting and consequently limiting the increase in productivity. In the pre-processing of the data, we perform the attributes, selection, transformation and identification of outliers. Numerical attributes were discretized using automatic techniques: Kononenko (KO), Better Encoding (BE) and combination: KO + BE. In modeling the rule algorithms used were PART and JRip, both implemented in the WEKA tool. Performance was assessed using statistical metrics: accuracy, recall, cost and their combination using the I_FC index (created by the authors). Results showed better performance for the PART classifier, with discretization by the KO + BE technique, followed by binary conversion. The analysis of the rules made it possible to identify the attributes that most impact productivity. This article is an excerpt from an ICMC/USP Professional Master's Dissertation in Science carried out in São Carlos-SP/BR.

A Synopsis of Dicliptera (Acanthaceae) in Brazil, with the Description of Two New Species

2020 ◽  
Vol 45 (2) ◽  
pp. 340-348
Author(s):  
James Lucas da Costa-Lima ◽  
Earl Celestino de Oliveira Chagas
Keyword(s):  
New Species ◽  
South America ◽  
The State ◽  
Northeastern Brazil ◽  
Mato Grosso ◽  
The North ◽  
New Synonyms ◽  
Two New Species ◽  
Mato Grosso Do Sul ◽  
A New Species

Abstract—A synopsis of Dicliptera (Acanthaceae) for Brazil is presented. Six species are recognized: Dicliptera ciliaris, D. sexangularis, and D. squarrosa, widely distributed in South America; D. purpurascens, which ranges from the North Region of Brazil (in the state of Acre) to eastern Bolivia; D. gracilirama, a new species from the Atlantic Forest of northeastern Brazil; and D. granchaquenha, a new species recorded in dry and semideciduous forests in Bolivia and western Brazil, in the state of Mato Grosso do Sul. Furthermore, we propose new synonyms and designate lectotypes for eleven names. An identification key to the six accepted Dicliptera species in Brazil is provided.

scholarly journals Data Mining Usage in Corporate Information Security: Intrusion Detection Applications

2017 ◽  
Vol 8 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Masoud Al Quhtani
Keyword(s):  
Data Mining ◽  
Information Security ◽  
Intrusion Detection ◽  
Mining System ◽  
Systematic Analysis ◽  
New Methods ◽  
Use Of Data ◽  
Efficient Data ◽  
Abuse Risk ◽  
Corporate Information

AbstractBackground: The globalization era has brought with it the development of high technology, and therefore new methods of preserving and storing data. New data storing techniques ensure data are stored for longer periods of time, more efficiently and with a higher quality, but also with a higher data abuse risk. Objective: The goal of the paper is to provide a review of the data mining applications for the purpose of corporate information security, and intrusion detection in particular. Methods/approach: The review was conducted using the systematic analysis of the previously published papers on the usage of data mining in the field of corporate information security. Results: This paper demonstrates that the use of data mining applications is extremely useful and has a great importance for establishing corporate information security. Data mining applications are directly related to issues of intrusion detection and privacy protection. Conclusions: The most important fact that can be specified based on this study is that corporations can establish a sustainable and efficient data mining system that will ensure privacy and successful protection against unwanted intrusions.

First report on the isolation and genotyping of Toxoplasma gondii strains from free-range chickens in the state of Mato Grosso, Midwestern Brazil

2021 ◽  
pp. 101725
Author(s):  
Rute Witter ◽  
Hilda Fátima Jesus Pena ◽  
Maerle Oliveira Maia ◽  
Leodil da Costa Freitas ◽  
Sayanne Luns Hatum Almeida ◽  
...  
Keyword(s):  
Toxoplasma Gondii ◽  
The State ◽  
Mato Grosso ◽  
First Report ◽  
Free Range

Genetic diversity of improved genotypes of Tectona grandis in the state of Mato Grosso, Brazil

2021 ◽  
pp. 1-8
Author(s):  
Mariana de Moura Queiroz ◽  
Sidney Fernando Caldeira ◽  
Alexandre Magno Sebbenn ◽  
Daniele Aparecida Alvarenga Arriel
Keyword(s):  
Genetic Diversity ◽  
Tectona Grandis ◽  
The State ◽  
Mato Grosso

The crystalline waters of the Bodoquena Plateau revealed Hypostomus froehlichi (Siluriformes: Loricariidae), a new armored catfish from the rio Paraguay basin in Brazil

Zootaxa ◽  
2021 ◽  
Vol 4933 (1) ◽  
pp. 98-112
Author(s):  
CLÁUDIO H. ZAWADZKI ◽  
GABRIELA NARDI ◽  
LUIZ FERNANDO CASERTA TENCATT
Keyword(s):  
New Species ◽  
The State ◽  
Flagship Species ◽  
Mato Grosso ◽  
Diagnostic Characters ◽  
Large Size ◽  
Numerical Variation ◽  
Mato Grosso Do Sul ◽  
Continuous Range

The menaced and poorly-known waters of the Bodoquena Plateau revealed a new resident, the stunning Hypostomus froehlichi sp. n., a large-sized armored catfish, which is finally described after more than twenty years since its discovery. The Bodoquena Plateau is drained by the rio Paraguay basin, and is located in the state of Mato Grosso do Sul, Brazil. The new species differs from its congeners on the Bodoquena crystalline waters by having teeth with morphological and numerical variation in adult specimens. There is a continuous range of specimens having about 20 thick and worn teeth to specimens having about 50 thin teeth with intact crowns and lanceolate main cusps. Additional diagnostic characters are: dentaries angled more than 90 degrees, dark blotches, one plate bordering supraoccipital, moderate keel along dorsal series of plates, usually two rows of blotches per interradial membrane on dorsal, pectoral and ventral fins, and by attaining comparatively large size. Hypostomus froehlichi seems to be endemic to the area of the Bodoquena Plateau, in rivers draining to the rio Miranda. The description of the new species reveals a potential conservation flagship species as it is one of the most seen and documented fish by visitors and divers in the clear waters from the touristic, though menaced, Bonito region in Brazil. 

scholarly journals Sudden death associated with Niedenzuella stannea (Malpighiaceae) in cattle in the State of Mato Grosso, Brazil: importance and epidemiological aspects

2017 ◽  
Vol 37 (7) ◽  
pp. 662-666
Author(s):  
Flávio H.B. Caldeira ◽  
Geovanny B.G. Dias ◽  
Felipe P. de Arruda ◽  
Valdecy de M. Lourenço ◽  
Kalinne S. Bezerra ◽  
...  
Keyword(s):  
Sudden Death ◽  
Dry Season ◽  
The State ◽  
Acute Disease ◽  
Economic Losses ◽  
Control Methods ◽  
Mato Grosso ◽  
Araguaia River ◽  
Young Leaves ◽  
Plant Control

ABSTRACT: The aim of this study was to investigate the importance of an acute disease that was characterized by sudden death associated with exercise that affected cattle in the region of the Araguaia River, especially in the municipality of Torixoréu, southeastern Mato Grosso, Brazil. Between August and September 2013, eighty farms in the municipality were visited and the pastures of these farms were inspected. Epidemiological questionnaires were completed from 65 farms. A plant identified as Niedenzuella stannea (N. stannea) of the Malpighiaceae family was attributed to the cause of sudden death in cattle, what causes major economic losses. Sudden death reports have occurred since 1970, when livestock was introduced into the region, and sudden death reports still occur. Outbreaks were reported to occur from May to October, but mainly during the dry season between June and August. N. stannea was identified at 41 farms and was always found in near to rivers. The most effective plant control methods included plowing the pastures and fields followed by manual application of Tordon® (Picloram and 2.4D). The administration of 5g/kg of young leaves which were collected from a farm with a sudden death history in cattle also caused sudden death in a sheep. Thus, it is concluded that the sudden death of cattle in the region of the Araguaia River is caused by the consumption of N. stannea.

scholarly journals Molecular detection of Mayaro virus during a dengue outbreak in the state of Mato Grosso, Central-West Brazil

2014 ◽  
Vol 109 (6) ◽  
pp. 820-823 ◽  
Author(s):  
Nayara Zuchi ◽  
Letícia Borges da Silva Heinen ◽  
Marcelo Adriano Mendes dos Santos ◽  
Fernanda Carla Pereira ◽  
Renata Dezengrini Slhessarenko
Keyword(s):  
Molecular Detection ◽  
The State ◽  
Mato Grosso ◽  
Dengue Outbreak ◽  
Mayaro Virus

scholarly journals Ants (Hymenoptera: Formicidae) from an Amazonian fragmented landscape, Juara, Mato Grosso, Brazil, with new records of ant species

2018 ◽  
Vol 58 ◽  
pp. e20185840
Author(s):  
Ricardo Eduardo Vicente ◽  
Alexandre Casadei Ferreira ◽  
Rogério Conceição Lima dos Santos ◽  
Lívia Pires do Prado
Keyword(s):  
Transition Zone ◽  
New Records ◽  
The State ◽  
Fragmented Landscape ◽  
General Knowledge ◽  
Pitfall Traps ◽  
Mato Grosso ◽  
Brazilian State ◽  
First Time

The state of Mato Grosso is the 3rd largest Brazilian state, is covered with three major Brazilian biomes, including the Pantanal, Cerrado, and Amazonia. To date, 449 ant species are recorded in literature for the state. In the present work, we documented the ants sampled along a fragmented landscape, in the municipality of Juara, in the Cerrado-Amazon transition zone in the state of Mato Grosso, Brazil. The ant species were captured with Pitfall traps installed in 20 trails with 10 traps in each (totaling 200). Our results show 151 species, belonging to 43 genera and eight subfamilies, of which 28 species were recorded for the first time in the state and five species recorded for the first time in Brazil. Most genera collected were Pheidole Westwood, 1839 (45 species) followed by Crematogaster Lund, 1831 (11 species). By highlighting species recorded for the first time in state of Mato Grosso and Brazil, we hope to encourage new discoveries and increase the general knowledge of the ant fauna of different biomes in the region.

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