0000000000002154

AUTHOR

N. Ruiz

showing 7 related works from this author

A decision dilemma: Cushing syndrome during pregnancy.

2014

The rare presentation of Cushing syndrome during pregnancy prevents the use of established guidelines for management. A three-step dilemma challenges clinicians making this diagnosis: surveillance,...

Pediatricsmedicine.medical_specialtyPregnancybusiness.industryObstetrics and Gynecologymedicine.diseaseDilemmaPregnancy ComplicationsCushing syndromeYoung AdultPregnancymedicineHumansFemalePresentation (obstetrics)businessCushing SyndromeJournal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology
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Procedures and protocol for soil biodiversity monitoring : ‘RMQS-Biodiv', a french pilot area experience.

2008

PosterFR2116Poster

rmqssolmicroorganisme[SDV]Life Sciences [q-bio][SDE.MCG]Environmental Sciences/Global ChangesPEDOLOGIErmqs-biodiv[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environment[ SDE.MCG ] Environmental Sciences/Global Changes[SDE.MCG] Environmental Sciences/Global Changesbiologie du solPEDOLOGIE;rmqs-biodiv;envasso[SDE]Environmental Sciencesréseau de mesures[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environment[INFO]Computer Science [cs]ComputingMethodologies_GENERALmicrobiologieenvasso[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentqualité du solComputingMilieux_MISCELLANEOUS
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Les indicateurs de l'état biologique des sols : Guide de sélection selon le type d’application et/ou la problématique

2014

National audience

[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]ComputingMilieux_MISCELLANEOUS
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Démarche statistique pour la sélection des indicateurs par Random Forests pour la surveillance de la qualité des sols

2013

The volume of data, and the large number of biological variables to be tested (one hundred), require analytical techniques, such asRandom Forests, which can overcome the problem of multi-colinearity for the selection of indicators, sensitive to various factors.Random Forests methodology is appropriate for the selection of the most discriminant variables. So, we searched for the best wayto select them, by bringing together all biological variables, representing the Microflora and Fauna. This approach focuses on impactindicators from the Bio2 program, indicators of flora and indicators of accumulation (snails) were not included.This work has been implemented on the three factors of discrimina…

Analyse discriminanteRandom Forestscontaminantes orgánicosindicateurs pédologiquesland use.organic pollutantspolluants organiques[ SHS.ENVIR ] Humanities and Social Sciences/Environmental studies[ SHS.GEO ] Humanities and Social Sciences/Geography[SHS]Humanities and Social Sciencesbioindicateurs[ SHS ] Humanities and Social Sciencesoccupation des sols.sélectionméthodes statiquesbioindicadoresRandom Forets[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsComputingMilieux_MISCELLANEOUS[SHS.STAT]Humanities and Social Sciences/Methods and statisticspédologieuso del sueloDiscriminant Analysis[SHS.GEO]Humanities and Social Sciences/Geographysols[SDE.ES]Environmental Sciences/Environmental and Societymetal contaminationETMselección[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesbioindicatorsanálisis discriminante[SDE.ES] Environmental Sciences/Environmental and Society[ SDE.ES ] Environmental Sciences/Environmental and Societyqualité des sols
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Soil bioindicators: how to select them in function of the site issues?

2015

Soil bioindicators: how to select them in function of the site issues?. 13th International AquaConSoil Conference

[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]ComputingMilieux_MISCELLANEOUS
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Application of soil bioindicators for risk assessment, monitoring and soil characterization in contamined soils. Results from the French national "Bi…

2013

EA GenoSol IPM CT?; International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesmonitoring[SDV]Life Sciences [q-bio][SDE]Environmental Sciencesrisk assessment[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologycharacterizationsoil bioindicatorbioavailabilityComputingMilieux_MISCELLANEOUS
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CCDC 293074: Experimental Crystal Structure Determination

2006

Related Article: L.Soto, N.Ruiz, H.Nunez, J.Server-Carrio, E.Escriva, A.Sancho, J.Garcia-Lozano|2006|Inorg.Chim.Acta|359|3221|doi:10.1016/j.ica.2006.03.039

Space GroupCrystallographyCrystal SystemCrystal Structurecatena-(bis((mu~2~-Squarato-OO')-chloro-(bis(imidazol-2-yl)methylaminomethane-NN'))-di-copper(ii) dihydrate)Cell ParametersExperimental 3D Coordinates
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