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5篇 您的检索式:作者名="C.SANTOS"
    题名 作者 年代 出处 被引量
1Effect of acute administration of hydroalcohol extract of Ilex paraguariensis St Hilaire (Aquifoliaceae) in animal models of Parkinson’s disease显示文摘E. M.Milioli P.Cologni C. C.Santos T. D.Marcos V. M.Yunes M. S.Fernandes T.Schoenfelder L.Costa‐Campos 2007Phytother Res2007,,8:1
2Late Eocene marine incursion in north-western South America显示文摘C.SANTOS C.JARAMILLO G.BAYONA 0,,1:1
3Optimizing the use of open chambers to measure ammonia volatilization in field plots amended with urea显示文摘Measuring ammonia(NH_(3))volatilization from urea-fertilized soils is crucial for evaluation of practices that reduce gaseous nitrogen(N)losses in agriculture.The small area of chambers used for NH_(3)volatilization measurements compared with the size of field plots may cause significant errors if inadequate sampling strategies are adopted.Our aims were:i)to investigate the effect of using multiple open chambers on the variability in the measurement of NH_(3)volatilization in urea-amended field plots and ii)to define the critical period of NH_(3)-N losses during which the concentration of sampling effort is capable of reducing uncertainty.The use of only one chamber covering 0.015%of the plot(51.84 m^(2))generates a value of NH_(3)-N loss within an expected margin of error of 30%around the true mean.To reduce the error margin by half(15%),3–7 chambers were required with a mean of 5 chambers per plot.Concentrating the sampling efforts in the first two weeks after urea application,which is usually the most critical period of N losses and associated errors,represents an efficient strategy to lessen uncertainty in the measurements of NH_(3)volatilization.This strategy enhances the power of detection of NH_(3)-N loss abatement in field experiments using chambers.Márcio R.MARTINS Leonardo F.SARKIS Selenobaldo A.C.SANT’ANNA Camila A.SANTOS Karla E.ARAUJO Ricardo C.SANTOS Ednaldo S.ARAÚJO Bruno J.R.ALVES Claudia P.JANTALIA Robert M.BODDEY Mohammad ZAMAN Segundo URQUIAGA 2021Pedosphere2021,31,2:0
4Physical habitat condition as a key tool to maintain freshwater biodiversity in neotropical artificial ponds显示文摘In areas highly affected by anthropogenic disturbances,artificial(human-made)freshwater ecosystems can provide habitat for maintaining and conserving regional freshwater biodiversity.We assessed how the physical habitat of artificial ponds affected the structure of benthic macroinvertebrate assemblages.To do so,we tested two hypotheses.(1)Physical habitat disturbances are not detrimental to the diversity of nearby artificial ponds,and(2)Physical habitat disturbances do not cause significant shifts in taxonomic composition.Our results rejected both null hypotheses,i.e.,macroinvertebrate diversity metrics correlated significantly and positively with Physical Habitat Integrity index scores,and only sites with high habitat condition scores were significantly associated with sensitive indicator taxa.Our results highlight the importance of maintaining physical habitat conditions for sustaining the ecological health of artificial ponds.Marden S.Linares Livia B.dos Santos Marcos Callisto Jean C.Santos 2023Water Biology and Security2023,2,3:0
5Modeling neutral-atmospheric electromagnetic delays in a“big data”world显示文摘If left unmodeled,the delay suffered by electromagnetic waves while crossing the neutral atmosphere negatively affects Global Navigation Satellite System positioning.The modeling of the delay has been carried out by means of empirical models formulated based on climatological information or using information extracted from numerical weather prediction(NWP)models.This paper explores the potential use of meteorological information of several types that will become available with the increasing number of sensors(e.g.a cell phone,or the thermometer of a nearby smart home)in cyberspace.How can we make use of these potentially huge datasets,which may help to provide the best possible representation of the neutral atmosphere at any given time,as readily and as accurately as possible?This situation falls in the realm of Big Data.A few potential scenarios,a sequential improvement of Marini mapping function coefficients,a self-feeding NWP,and near real-time empirical model updates,are discussed in this paper.The pros and cons of each approach are discussed in comparison with what is done today.Experiments indicate that they have potential for a positive contribution.Marcelo C.Santos Thalia Nikolaidou 2018Geo-Spatial Information Science2018,21,2:0
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