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ENSO impacts on litter stocks and water holding capacity in secondary forests in eastern Amazonia

journal of Forestry Research 2024年第1期35卷 83-89页

作者： julia Isabella de Matos Rodrigues Walmer Bruno Rocha Martins Victor pereira de oliveira Myriam Suelen da Silva Wanzerley Hélio Brito dos Santos j.nior Francisco de Assis oliveira Graduate Program in Forestry Sciences Av.Presidente Tancredo Neves2501BelémPará66077-530Brazil Federal Rural University of Amazonia Av.Presidente Tancredo Neves2501BelémPará66077-530Brazil Federal Rural University of Amazonia Tv.Pau-AmareloCapitão PoçoPará68650-000Brazil National Institute of Amazonia Research Av.Constelação Cruzeiro do SulManausAmazonas 69060-062Brazil

Among the impacts of climate change,there is the intensification of phenomena such as the El Niño South-ern Oscillation(ENSO)responsible for El Niño and La Niñ***,understanding their effects on the functional pro-cesses of forests is ***,this study evaluated the effects of ENSO on litter stock and water holding capac-ity(WHC)in a successional forest in eastern *** occurred in periods with the most rainfall in El Niño(2019)and least in La Niña(2021)*** permanent plots were used to sample *** effects were evident for WHC,higher during El Niñ***,this influence was not clear for litter,as only in the rainy season effects were *** was a positive correlation of WHC with precipitation and humidity,while litter stocks were negatively correlated with temperature and wind *** the subject of this study requires long-term assessments,preliminary results suggests that,depending on the intensity of ENSO,forest functional processes can be strongly impacted and *** conclusion reinforces warnings by the scientific community about the impacts of climate change on the maintenance of litter stocks,decomposition and,consequently,the biogeochemical cycle and essential ecosystem services for the maintenance of Amazonia *** need to develop long-term research to understand the effects of climatic change on litter stocks and water holding capacity is highlighted,especially in Amazonia.

关键词： Seasonality Climate change Succession ecosystem Biogeochemical cycle Amazonia biodiversity

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Supercritical fluid technology as a sustainable alternative method for textile dyeing:An approach on waste,energy,and CO_(2)emission reduction

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journal of Environmental Sciences 2024年第6期140卷 123-145页

作者： Carlos Rafael Silva de oliveira Patrícia Viera de oliveira Leandro Pellenz Catia Rosana Lange de Aguiar Afonso Henrique da Silva j.nior Federal University of Santa Catarina Textile Engineering Department2514 João Pessoa St.BlumenauSC89036-004Brazil Federal University of Santa Catarina Chemical Engineering DepartmentS/n Biotério Central St.FlorianópolisSC88040-900Brazil

The clothing industry is considered one of the most polluting industries on the planet due to the high consumption of water,energy,chemicals/dyes,and high generation of solid waste and *** with environmental concerns,the textile ennoblement sector is the most critical of the textile production chain,especially the traditional dyeing *** an alternative to current problems,dyeing with supercritical CO_(2)(scCO_(2))has been presented as a clean and efficient process for a sustainable textile *** fluid dyeing(SFD)has shown a growing interest due to its significant impact on environmental preservation and social,economic,and financial *** main SFD benefits include economy and reuse of non-adsorbed dyes;reduction of process time and energy expenditure;capture of atmospheric CO_(2)(greenhouse gas);use and recycling of CO_(2)in SFD;generation of carbon credits;water-free process;effluent-free process;reduction of CO_(2)emission and auxiliary *** being still a non-scalable and evolving technology,SFD is the future of *** review presented a comprehensive overview of the environmental impacts caused by traditional processes and confronted the advantages of *** SFD technique was introduced,along with its latest advances and future *** and environmental gains were also discussed.

关键词： Textile industry Supercritical dyeing Sustainable processes Water free dyeing Energy saving Cleaner production

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The effect of abiotic stresses on plant C:N:P homeostasis and their mitigation by silicon

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The Crop journal 2024年第2期12卷 340-353页

作者： Milton Garcia Costa Renato de Mello Prado Luiz Fabiano Palaretti j.nas pereira de Souza j.nior department of Agricultural Production Science School of Agricultural and Veterinarian SciencesSão Paulo State UniversityJaboticabalBrazil

In crop plants, various environmental stresses affect the balance of carbon, nitrogen, and phosphorus(C:N:P), leading to biochemical and physiological alterations and reductions in yield. Silicon(Si) is a beneficial element that alleviates plant stress. Most studies involving silicon have focused on physiological responses, such as improvements in photosynthetic processes, water use efficiency, and antioxidant defense systems. But recent research suggests that stressed plants facing either limited or excessive resources(water, light, nutrients, and toxic elements), strategically employ Si to maintain C:N:P homeostasis, thereby minimizing biomass losses. Understanding the role of Si in mitigating the impact of abiotic stresses on plants by regulating C:N:P homeostasis holds great potential for advancing sustainable agricultural practices in crop production. This review presents recent advances in characterizing the influence of environmental stresses on C:N:P homeostasis, as well as the role of Si in preserving C:N:P equilibrium and attenuating biological damage associated with abiotic stress. It underscores the beneficial effects of Si in sustaining C:N:P homeostasis and increasing yield via improved nutritional efficiency and stress mitigation.

关键词： Nutritional stoichiometry Elemental stoichiometry Beneficial element Environmental stresses Nutritional efficiency Carbon use efficiency Agricultural sustainability

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Identity(ies)and Transnationalization of Brazilian Evangelical Churches in Portugal:Case study of World Cathedral of Hope and Victory in Christ Churches

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Cultural and Religious Studies 2024年第3期12卷 133-145页

作者： j.nas pereira de oliveira j.nior University of Porto PortoPortugal

The presence of evangelicals in Brazil is a social and religious phenomenon that has aroused interest of many scholars due to its rapid and significant expansion in recent decades and its projection beyond national *** evangelical denominations that stand out in this scenario are Pentecostal churches,which have developed intense missionary activity in several countries,including *** this article,we intend to analyze features and challenges of Brazilian evangelical churches:World Cathedral of Hope(CIME)(Catedral Mundial da Esperança-ICME)and Assembly of God Victory in Christ(ADVEC)(Assembleia de deus Vitória em Cristo-ADVEC)that operate in Portugal,seeking to understand issues of identity and belonging of these communities,their models of transnationalization,its evangelization strategies and its adaptations to Portuguese context,in the period from 2000 to 2020.

关键词： identity transnationalization secularization Brazilian migration

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ENSO impacts on litter stocks and water holding capacity in secondary forests in eastern Amazonia

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林业研究（英文版） 2024年第1期 87页

作者： julia Isabella de Matos Rodrigues Walmer Bruno Rocha Martins Victor pereira de oliveira Myriam Suelen da Silva Wanzerley Hélio Brito dos Santos j.nior Francisco de Assis oliveira

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The effect of abiotic stresses on plant C:N:P homeostasis and their mitigation by silicon

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The Crop journal 2024年第2期 340页

作者： Milton Garcia Costa Renato de Mello Prado Luiz Fabiano Palaretti j.nas pereira de Souza j.nior

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Molecule-based kinetic modeling by Monte Carlo methods for heavy petroleum conversion

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Science China Chemistry 2013年第11期56卷 1608-1622页

作者： de oliveira Luís pereira VERSTRAETE jan j. KOLB Max IFP Energies nouvelles Rond-point de l'échangeur de Solaize-BP 369360 SolaizeFrance Laboratoire de Chimie cole Normale Supérieure69364 Lyon Cedex 07France

A methodology for kinetic modeling of conversion processes is *** proposed approach allows to overcome the lack of molecular detail of the petroleum fractions and to simulate the reactions of the process by means of a two-step *** the first step,a synthetic mixture of molecules representing the feedstock is generated via a molecular reconstruction method,termed SR-REM molecular *** the second step,a kinetic Monte Carlo method,termed stochastic simulation algorithm(SSA),is used to simulate the effect of the conversion reactions on the mixture of *** resulting methodology is applied to the Athabasca vacuum residue *** adequate molecular representation of the vacuum residue is obtained using the SR-REM *** reaction simulations present a good agreement with the laboratory data for Athabasca vacuum residue *** addition,the proposed methodology provides the molecular detail of the vacuum residue conversion throughout the reactions simulations.

关键词： Monte-Carlo molecular reconstruction kinetic modeling stochastic simulation algorithm vacuum residue hydrocracking

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Partition coefficient prediction of Baker's yeast invertase in aqueous two phase systems using hybrid group method data handling neural network

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Chinese journal of Chemical Engineering 2017年第5期25卷 652-657页

作者： Carlos Eduardo de Araújo Padilha Sérgio Dantas de oliveira j.nior Domingos Fabiano de Santana Souza jackson Araújo de oliveira Gorete Ribeiro de Macedo Everaldo Silvino dos Santos Laboratory of Biochemical Engineering Chemical Engineering DepartmentFederal University of Rio Grande do Norte (UFRN)

A hybrid GMDH neural network model has been developed in order to predict the partition coefficients of invertase from Baker's yeast. ATPS experiments were carried out changing the molar average mass of PEG(1500–6000 Da), p H(4.0–7.0), percentage of PEG(10.0–20.0 w/w), percentage of MgSO_4(8.0–16.0 w/w), percentage of the cell homogenate(10.0–20.0 w/w) and the percentage of MnSO_4(0–5.0 w/w) added as cosolute. The network evaluation was carried out comparing the partition coefficients obtained from the hybrid GMDH neural network with the experimental data using different statistical metrics. The hybrid GMDH neural network model showed better fitting(AARD = 32.752%) as well as good generalization capacity of the partition coefficients of the ATPS than the original GMDH network approach and a BPANN model. Therefore hybrid GMDH neural network model appears as a powerful tool for predicting partition coefficients during downstream processing of biomolecules.

关键词： Partitioning Invertase Aqueous Two Phase System GMDH Neural network

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Light intensity and hydrogel soil amendment differentially affect growth and photosynthesis of successional tree species

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journal of Forestry Research 2023年第1期34卷 257-268页

作者： Léo Vieira Leonel Fabrício de oliveira Reis Fábio Afonso Mazzei Moura de Assis Figueiredo Tiago Massi Ferraz Sebastiao de oliveira Maia j.nior Patrick Costa Silva jailma Ribeiro de Andrade Graduate Program in Agroecology State University of MaranhaoAv.Lourenco Vieira da Silva1000Jardim Sao CristovaoSao LuísMaranhao 65055-310Brazil State University of Maranhao Av.Lourenco Vieira da Silva1000Jardim Sao CristovaoSao LuísMaranhao 65055-310Brazil Graduate Program in Agriculture and Environment State University of MaranhaoPraca Goncalves Diass/nCentroBalsasMaranhao 65800-000Brazil

Global climate changes have increased temperatures,radiation indexes,and consequently,irregularities in rainfall in mainly tropical countries,considerably hindering plant establishment in recovering degraded *** objective of this study was to evaluate the growth and physiological characteristics of one species of each successional group:pioneer,secondary,and climax when subjected to different light intensities and hydrogel as a soil conditioner during rainy and dry *** experiment was conducted in the ecotone between Brazil’s two largest biomes,the Cerrado and the Amazon in the State of Maranh?*** parameters consisted of three species:Guazuma ulmifolia Lam.(pioneer),Astronium fraxinifolium Schott(secondary),and Cariniana rubra Gardner ex Miers(climax).There were two light intensities:70%and 100%,and two planting conditions:with and without soil conditioner(hydrogel).Gas exchanges were higher during the rainy season;the pioneer and secondary species had greater heights and photosynthetic rates in the dry period;the climax species had the lowest gas exchange and lowest recovery as rainfall *** pioneer and secondary species showed higher physiological plasticity,denoting better adaption to environments with high *** improved the photosynthetic performance of these species in the dry season and in areas with 100%sunlight.

关键词： Irradiance Hydrogel Photosynthetic efficiency Physiological plasticity

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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 j.nior joséFrancisco de oliveira-j.nior 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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