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The assessment of climatic,environmental,and socioeconomic aspects of the Brazilian Cerrado

Ecological Processes 2023年第1期12卷 274-285页

作者： Washington Luiz Félix Correia Filho JoséFrancisco de Oliveira-Júnior Dimas de Barros Santiago Hazem Ghassan Abdo Hussein Almohamad Ahmed Abdullah Al Dughairi carlos antonio da silva junior Postgraduate Program in Environmentrics(PPGAmb) Institute of MathematicsStatisticsand Physics(IMEF)Federal University of Rio Grande(FURG)Rio GrandeRio Grande do Sul 96203-900Brazil Institute of Atmospheric Sciences(ICAT) Federal University of Alagoas(UFAL)MaceióAlagoas 57072-260Brazil Postgraduate Program in Biosystems Engineering(PGEB) Federal Fluminense University(UFF)NiteróiRio de Janeiro 24220-900Brazil Postgraduate Program in Meteorology Unidade Acadêmica de Ciências Atmosféricas(UACA)Federal University of Campina Grande(UFCG)Campina GrandeParaíba 58429-140Brazil Geography Department Faculty of Arts and HumanitiesTartous UniversityTartousSyria Geography Department Faculty of Arts and HumanitiesDamascus UniversityDamascusSyria Geography Department Faculty of Arts and HumanitiesTishreen UniversityLat-takiaSyria Department of Geography College of Arabic Language and Social StudiesQassim UniversityBuraydah 51452Saudi Arabia Departamento de Geografia State University of Mato Grosso(UNEMAT)SinopMato Grosso 78555-000Brazil

Background The Cerrado is the most biodiverse savanna and maintains other *** of its significance,this paper evaluated the Brazilian Cerrado’s climatic,environmental,and socioeconomic aspects using remote sensing data and spatial statistics(correlation analysis and principal components analysis—PCA).Following the measures of sample adequacy(MSA)and Kaiser–Meyer–Olkin(KMO)tests,seventeen variables were *** The MSA revealed that the dataset had a good quality(0.76),and nine variables were selected:elevation,evapotranspiration,active fires,Human Development Index(HDI),land use and land cover(LULC;shrubland and cropland/rainfed),rainfall(spring and autumn),and *** correlation matrix indicated a positive(negative)association between HDI and autumn rainfall(HDI and active fires)with a value of 0.77(-0.55).The PCA results determined which three principal components(PC)were adequate for extracting spatial patterns,accounting for 68.02%of the total variance with respective values of 38.59%,16.89%,and 12.5%.Due to economic development and agribusiness,Cerrado’s northern(central,western,and southern)areas had negative(positive)score HDI values,as shown in ***(rainfall—spring and fall)and environmental(cropland/rainfed and shrubland)aspects dominated the PC2,with negative scores in northern and western portions due to the transition zone between Amazon and Cerrado biomes caused by rainfall *** the other hand,environmental aspects(LULC-shrubland and elevation)influenced the PC3;areas with high altitudes(>500 m)received a higher *** Agricultural expansion substantially affected LULC,leading to deforestation-caused suppression of native vegetation.

关键词： Environment Agribusiness Active fire Human Development Index Land use and land cover

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19-year remotely sensed data in the forecast of spectral models of the environment

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International Journal of Digital Earth 2021年第8期14卷 1040-1066页

作者： Fernando Saragosa Rossi carlos antonio da silva junior JoséFrancisco de Oliveira-Júnior Paulo Eduardo Teodoro Luciano Shozo Shiratsuchi Mendelson Lima Larissa Pereira Ribeiro Teodoro Auana Vicente Tiago Guilherme Fernando Capristo-silva State University of Mato Grosso(UNEMAT) Alta FlorestaMato GrossoBrazil Department of Geography State University of Mato Grosso(UNEMAT)SinopMato GrossoBrazil cFederal University of Alagoas(UFAL) MaceióAlagoasBrazil dFederal University of Mato Grosso do Sul(UFMS) Chapadão do SulMato Grosso do SulBrazil eAgCenter School of PlantEnvironmentaland Soil SciencesLouisiana State University(LSU)Baton RougeLouisianaUSA fPostgraduate Program in Agronomy Federal University of Mato Grosso(UFMT)SinopMato GrossoBrazil

The aims of this study were:i)to compare no-till areas in two municipalities located in different regions of Brazil,along with the influence on CO_(2)Flux and GPP,and ii)to verify the difference between environmental factors followed by the trends of these variables regarding future scenarios(ARIMA time-series model number).The study was carried out in two areas with different latitudes in the municipalities of Sinop-MT and Passo Fundo-RS,both in Brazil.A time series of 19 years was performed with data acquired by remote sensing from the following satellites:i)Landsat-8(OLI and TIRS),and ii)TERRA/AQUA(MODIS).The results propound that the spectro-temporal variables are directly influenced by soil management and agricultural practices over the observation time,with a satisfactory correlation in future predictions of the variables for the next ten years,in which presented that the variation of GPP and albedo values for the two study sites would gradually increase until 2028 and the temperature remained constant between the range of its seasonality,and CO_(2)Flux tends to decrease in its seasonality,indicating a higher CO_(2) absorption.

关键词： ARIMA numerical modeling remote sensing orbital products tillage

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Object-based image analysis supported by data mining to discriminate large areas of soybean

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International Journal of Digital Earth 2019年第3期12卷 270-292页

作者： carlos antonio da silva junior Marcos Rafael Nanni José Francisco de Oliveira-Júnior Everson Cezar Paulo Eduardo Teodoro Rafael Coll Delgado Luciano Shozo Shiratsuchi Muhammad Shakir Marcelo Luiz Chicati Geotechnology Applied in Agriculture and Forest(GAAF) State University of Mato Grosso(UNEMAT)Alta FlorestaMato GrossoBrazil Department of Agronomy(daG/PGA) State University of Maringá(UEM)MaringáParanáBrazil Institute of Atmospheric Sciences(ICAT) Federal University of Alagoas(UFAL)MaceióAlagoasBrazil Federal University of Mato Grosso do Sul(UFMS) Chapadão do SulMato Grosso do SulBrazil Department of Environmental Sciences(DCA) Forestry Institute(IF)Federal Rural University of Rio de Janeiro(UFRRJ)SeropédicaRio de JaneiroBrazil AgCenter Louisiana State University(LSU)Baton RougeLAUSA Institute of Space Technology Islamabad Pakistan IslamabadPakistan

This research aimed to analyze the possibility to estimate and automatically map large areas of soybean cultivation through the use of MODIS(Moderate-Resolution Imaging Spectroradiometer)*** major techniques were used:GEOgraphic-Object-Based Image Analysis(GEOBIA)and data Mining(DM).In order to obtain the images,the segmentation algorithm implemented by Definiens Developer was used.A decision tree(DT)was created from a training set previously ***-series of images from the MODIS sensor aboard the Terra satellite were acquired in order to represent the wide variation of the vegetation pattern along the soybean crop *** time-series data were used only for the CEI ***,to compare the results obtained from GEOBIA,the slicing technique was used at the CEI *** the training,the DT was applied to the vegetation indices generating the thematic map of the spatial distribution of *** accordance with the error matrix and kappa parameter analysis,tests for statistical significance were *** indicate that the classification achieved by Kappa coefficients is *** short,the obtained results proved that combining vegetation indices and time-series data using GEOBIA return promising results for mapping soybean plantation on a regional scale.

关键词： GEOBIA time-series vegetation indices MODIS vegetation dynamics

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Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics

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Animal Diseases 2022年第1期2卷 16-26页

作者： Luciano Rodrigo Lopes Giancarlo de Mattos Cardillo Natalia Carvalho de Lucca Pina antonio carlos da silva junior silvana Kertzer Kasinski Paulo Bandiera-Paiva SPBrasil SPBrasil

Severe acute respiratory syndrome coronavirus(SARS-CoV)and SARS-CoV-2 are thought to transmit to humans via wild mammals,especially ***,evidence for direct bat-to-human transmission is *** of intermediate hosts is considered a reason for SARS-CoV-2 transmission to humans and emergence of *** biodiversity is found in tropical territories,such as *** the similar line,this study aimed to predict potential coronavirus hosts among Brazilian wild mammals based on angiotensin-converting enzyme 2(ACE2)sequences using evolutionary ***,maned wolf,and bush dogs were predicted as potential hosts for *** indigenous carnivores are philogenetically closer to the known SARS-CoV/SARS-CoV-2 hosts and presented low ACE2 divergence.A new coronavirus transmission chain was developed in which white-tailed deer,a susceptible SARS-CoV-2 host,have the central *** play an important role because of its low divergent ACE2 level in deer and *** discovery of these potential coronavirus hosts will be useful for epidemiological surveillance and discovery of interventions that can contribute to break the transmission chain.

关键词： SARS-CoV-2 Angiotensin-converting enzyme 2 Coronavirus Brazilian mammals White-tailed deer

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A Finite Element Study of the Influence of Graphite Nodule Characteristics on a Subsurface Crack in a Ductile Cast Iron Matrix under a Contact Load

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Computer Modeling in Engineering & Sciences 2018年第10期117卷 59-71页

作者： Guilherme Suguinoshita carlos Henrique da silva Marco antonio Luersen Department of Mechanical Engineering Federal University of Technology-Parana(UTFPR)Rua Deputado Heitor Alencar Furtado5000CEP 81280-340CuritibaBrazil

This paper describes a study of the effects of graphite nodule characteristics on a subsurface crack in austempered ductile iron(ADI).A representative specimen of ADI,subjected to sliding contact load,is modeled using finite elements aiming to obtain the shear stress intensity factor(KII).The parameters varied were(i)the nodule diameter(two different values were considered),(ii)the distance between the nodule and the tip of the crack and(iii)the position of the load relative to the tip of the *** results of the numerical simulations show that the smaller diameter nodule has a larger influence on KII,suggesting a higher contact fatigue crack propagation rate in the material with the smaller *** results are the opposite of those observed in experimental studies and would appear to indicate that other factors should be also considered to ensure realistic estimates of the contact fatigue strength of ADI.

关键词： Austempered ductile iron subsurface crack stress intensity factor finite element analysis graphite nodule

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Miscibility of Poly(hydroxybutyrate)/Poly(vinyl alcohol)Melt Blends Plasticized With Glycerol

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Journal of Renewable Materials 2019年第4期7卷 325-333页

作者： Deliane da silva Cabral antonio JoséFelix Carvalho Department of Materials Engineering São Carlos School of EngineeringUniversity of São PauloAv.João Dagnone110013563-120São Carlos-SP-Brazil

Poly(hydroxybutyrate)/poly(vinyl alcohol)(PHB/PVA)blends plasticized with glycerol were prepared by melt blending of PHB and glycerol plasticized *** PHB/PVA-glycerol compositions were 90:10,75:25 and 50:50 w/w,being the concentration of glycerol in the PVA mixture of 10 wt%.The blends were characterized by infrared spectroscopy,dynamic-mechanical thermal analysis,and scanning electron microscope of the fragile fractured *** results showed one single phase blend,indicating miscibility corroborated by the presence of a single glass transition *** blending method proved to be an efficient way to tune PHB properties keeping its biodegradable nature since both PVA and glycerol are fully biodegradable materials.

关键词： Blend miscibility melt processing poly(hydroxybutyrate) poly(vinyl alcohol)

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A Bidimensional Finite Element Study of Crack Propagation in Austempered Ductile Iron

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Computers, Materials & Continua 2023年第11期77卷 1411-1424页

作者： Gustavo von Zeska de França Roberto Luís de Assumpção Marco antonio Luersen carlos Henrique da silva Department of Mechanical Engineering Federal University of Technology–ParanáCuritiba81280-340Brazil

Austempered ductile iron(ADI)is composed of an ausferritic matrix with graphite nodules and has a wide range of applications because of its high mechanical strength,fatigue resistance,and wear resistance compared to other cast *** amount and size of the nodules can be controlled by the chemical composition and austenitizing *** the nodules have lower stiffness than the matrix and can act as stress concentrators,they influence crack ***,the crack propagation mechanism in ADI is not yet fully *** this study,we describe a numerical investigation of crack propagation in ADIs subjected to cyclic *** numerical model used to calculate the stress intensity factors in the material under the given conditions is built with the aid of Abaqus commercial finite element *** crack propagation routine,which is based on the Paris law,is implemented in *** results of the simulation show that the presence of a nodule generates a shear load on the crack ***,even under uniaxial tensile loading,the presence of the nodule yields a non-zero stress intensity factor in mode II,resulting in a deviation in the crack propagation *** is the primary factor responsible for changing the crack propagation direction towards the *** the parameters,for example,increasing the nodule size or decreasing the distance between the nodule and crack tip,can intensify this *** simulations comparing two different ADIs with the same graphite fraction area,the crack in the material with more nodules reaches another nodule in a shorter propagation time(or shorter number of cycles).This suggests that the high fatigue resistance observed in ADIs may be correlated with the number of nodules intercepted by a crack and the additional energy required to nucleate new *** summary,these findings contribute to a better understanding of crack propagation in ADIs,provide insights into the relationship between the presence

关键词： Austempered ductile iron(ADI) fatigue crack propagation graphite nodule

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Equity issues and the PeCUS index:an indirect analysis of community severance

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Geo-Spatial Information Science 2020年第4期23卷 293-304页

作者： daniela Vanessa Rodriguez Lara antonio Nelson Rodrigues da silva Department of Transportation Engineering São Carlos School of EngineeringUniversity of São PauloSão PauloBrazil

Urban barriers are often a consequence of the unplanned expansion of transport infrastructures,housing growth nearby existing transport infrastructures,and the vehicular traffic *** process,also known as“community severance”,is a problem that affects the travel patterns of the population and causes negative impacts to adjacent communities,but it is not easy to *** an alternative to the costly technologies and restricted-access data sometimes used to analyze urban barriers,we propose an analytical approach that assesses community severance levels by classifying the quality of Pedestrian Crossings on Urban Streets(the PeCUS index).Additionally,the approach is used to identify possible inequities nearby the different classification groups regarding demographic *** used the chi-square(χ^(2))test of independence and the standardized Pearson residuals to indicate deficits and excesses of residents regarding the demographic characteristics studied surrounding the urban *** found the following evidences of associations:residents with low-income or those aged up to 19 tend to live close to the worst crossings,whereas residents with permanent mobility constraints or the elderly tend to live near the crossings with the best ***,the study shows that the assessment of community severance by the analysis of the PeCUS index is ***,it reveals that the distribution of residents surrounding the distinct classes of quality of crossings is equitable for vulnerable social groups,except for low-income or young residents.

关键词： Community severance transport barriers pedestrian crossings equity open data geographic information systems(GIS)

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Prognosis of forest production using machine learning techniques

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Information Processing in Agriculture 2023年第1期10卷 71-84页

作者： Jeferson Pereira Martins silva Mayra Luiza Marques da silva Adriano Ribeiro de Mendonca Gilson Fernandes da silva Antoˆnio Almeida de Barros junior Evandro Ferreira da silva Marcelo Otone Aguiar Jeangelis silva Santos Nı´vea Maria Mafra Rodrigues Federal University of Espirito Santo UFESDepartment of Forestry and Wood ScienceAvenue Governor Lindemberg31629550-000 Jeroˆnimo MonteiroESBrasil b Departamento de Cieˆncias Agra´riasUniversidade Federal de Sa o Joa del-Rei Sete Lagoas CampusHighway MG 424-Km 47Sete LagoasMinas Gerais 35701-970Brazil Federal University of Para(UFPA) University Campus of AltamiraStreet Cel.Jose Porfırio2515Sa o Sebastiao68372-040 AltamiraPABrazil

Forest production and growth are obtained from statistical models that allow the generation of information at the tree or forest stand *** the use of regression models is common in forest measurement,there is a constant search for estimation procedures that provide greater ***,machine learning techniques have been used with satisfactory performance in measuring ***,methods such as Adaptive NeuroFuzzy Inference System(ANFIS)and Random Forest are relatively poorly studied for predicting the volume of wood in eucalyptus plantations in ***,it is essential to check whether these techniques can provide gains in terms of ***,this study aimed to evaluate the use of Random Forest and ANFIS techniques in the prognosis of forest *** data used come from continuous forest inventories carried out in stands of eucalyptus *** data were divided into 70%for training and 30%for *** algorithms used to generate rules in ANFIS were Subtractive Clustering and ***,training was done with the hybrid algorithm(descending gradient and least squares)with the number of seasons ranging from 1 to *** RFs were trained,varying the number of trees from 50 to 850 and the number of observations by five leaves to *** neural networks and decision trees were also trained to compare the feasibility of the *** evaluation of the estimates generated by the techniques for training and validation was calculated based on the following statistics:correlation coefficient(r),relative Bias(RB),and the relative root mean square error(RRMSE)in *** general,the techniques studied in this work showed excellent performance for the training and validation data set with RRMSE values*** RF presented inferior statistics about the ANFIS for the prognosis of forest *** Subtractive Clustering(SC)and Fuzzy-C-Means(FCM)algorithms provide accurate baseline

关键词： Artificial Intelligence Ensemble Learning Forest Measurement Forest inventory Artificial Neural Networks Regression

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Lactobacillus bulgaricus inhibits colitis-associated cancer via a negative regulation of intestinal inflammation in azoxymethane/dextran sodium sulfate model

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World Journal of Gastroenterology 2020年第43期26卷 6782-6794页

作者： Denise Sayuri Calheiros Silveira Luciana Chain Veronez Luis carlos Lopes-junior Elen Anatriello Mariangela Ottoboni Brunaldi Gabriela Pereira-da-silva Department of Biochemistry and Immunology University of São Paulo at Ribeirão Preto Medical SchoolRibeirão Preto 14049-900SPBrazil Health Sciences Center Federal University of Espírito Santo-UFESVitória 29043-900ESBrazil Institute of Science and Technology Federal University of São PauloUNIFESPSão Josédos Campos 12231-280SPBrazil Department of Pathology and Forensic Medicine University of São PauloRibeirao Preto 14040-902SPBrazil Department of Maternal-Infant Nursing and Public Health University of São Paulo at Ribeirão Preto College of NursingRibeirão Preto 14040-902SPBrazil

BACKGROUND Colitis-associated cancer(CAC)accounts for 2%-3%of colorectal cancer(CRC)cases preceded by inflammatory bowel diseases(IBD)such as Crohn's disease and ulcerative *** microbiota has been reported to play a central role in the pathogenesis of IBD and ***,numerous prebiotics and probiotics have being investigated as antitumor agents due to their capacity to modulate inflammatory *** studies have indicated that lactic acid bacteria could be successfully used in managing sporadic CRC,however little is known about their role in *** To investigate the effect of the probiotic Lactobacillus bulgaricus(***)during the development of an experimental model of colitis associated colon cancer(CAC).METHODS C57BL/6 mice received an intraperitoneal injection of azoxymethane(10 mg/kg),followed by three cycles of sodium dextran sulphate diluted in water(5%w/v).Probiotic group received daily *** inflammation was determined by scoring clinical *** levels were determined from colon and/or tumor samples by ELISA BD OptEIATM *** level of significance was set at P<*** were generated and statistical analysis performed using the software GraphPad Prism *** *** treatment inhibited of total tumor volume and mean size of *** addition,the probiotic also attenuated the clinical signs of intestinal inflammation inducing a decrease in intestinal and tumor levels of IL-6,TNF-α,IL-17,IL-23 and IL-1β.CONCLUSION Our results suggest a potential chemopreventive effect of probiotic on *** regulates the inflammatory response and preventing CAC.

关键词： Lactobacillus bulgaricus Colitis-associated cancer Colorectal cancer Carcinogenesis Probiotics Inflammation

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