Search results for "SAGE"

showing 10 items of 1373 documents

FIA-fluorimetric determination of adrenaline in pharmaceutical formulations by oxidation with molecular oxygen

1998

The fluorimetric determination of adrenaline is carried out in a continuous-flow assembly and by means of the molecular dissolved oxygen. The sample solution merges with an NaOH stream, then the resulting mixture is heated at 73 °C and led to the flow-cell of the fluorimeter. The flow-assembly is very simple and the procedure is quick (107 samples h−1) reproducible (R.S.D. 0.6%), selective and suitable to be applied to determination of adrenaline in formulations. Calibrations graph are linear over the ranges 0.05–15 and 20–40 mgl−1.

Aqueous solutionChromatographyReducing agentChemistryFluorometerFluorescence spectrometryMolecular oxygenQuantitative analysis (chemistry)Dosage formFluorescence spectroscopyAnalytical ChemistryMikrochimica Acta
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Sentence arbitrale. Droit applicable au fond du litige, Arbitre tenu de statuer en droit, Litige réglé « selon les seuls usages du commerce internati…

1992

International audience; (Civ. 22 oct. 1991, Compania Valenciana de Cementos Portland SA, inédit)

Arbitrage international[SHS.DROIT]Humanities and Social Sciences/LawDroit applicable[SHS.DROIT] Humanities and Social Sciences/LawARBITRAGELex mercatoriaUsages du commerce international
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Chemical and Microbiological Characterization for PDO Labelling of Typical East Piedmont (Italy) Salami

2015

This study is focused on the characterisation of typical salami produced in Alessandria province (North West of Italy). Seventeen small or medium salami producers from this area were involved in the study and provided the samples investigated. The aim is double and consists in obtaining a screening of the characteristics of different products and following their evolution along ripening. The study involved five types of typical salami that were characterised for aroma components and nutritional features. This approach could provide a basis for a possible PDO or PGI label request. Principal Component Analysis and cluster analysis were used as multivariate statistical tools for data treatment…

Article SubjectVOLATILE COMPOUNDSCHROMATOGRAPHY MASS-SPECTROMETRYBIOGENIC-AMINESData treatmentFATTY-ACID-COMPOSITIONlcsh:ChemistryCHIM/01 - CHIMICA ANALITICALabellingMILANO SALAMIFood scienceDRY FERMENTED SAUSAGESAromaCURED SAUSAGEbiologyChemistrybusiness.industryGeneral Chemistrybiology.organism_classificationBiotechnologyMEAT-PRODUCTSlcsh:QD1-999North westMultivariate statisticalGC-MSbusinessSENSORY ATTRIBUTESJournal of Chemistry
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Artificial intelligence techniques for cancer treatment planning

1988

An artificial intelligence system, NEWCHEM, for the development of new oncology therapies is described. This system takes into account the most recent advances in molecular and cellular biology and in cell-drug interaction, and aims to guide experimentation in the design of new optimal protocols. Further work is being carried out, aimed to embody in the system all the basic knowledge of biology, physiopathology and pharmacology, to reason qualitatively from first principles so as to be able to suggest cancer therapies.

Artificial Intelligence SystemKnowledge representation and reasoningbusiness.industryAnimals Antineoplastic Combined Chemotherapy Protocols; administration /&/ dosage/pharmacology Clinical Protocols Computer Simulation Drug Therapy; Computer-Assisted Expert Systems Humans Medical Oncology; methods Programming Languages Software Design Therapy; Computer-AssistedExpert SystemsMedical OncologyDrug Therapy Computer-AssistedmethodsCancer treatmentComputer-AssistedBasic knowledgeadministration /&/ dosage/pharmacologyClinical ProtocolsDrug TherapySoftware DesignTherapy Computer-AssistedAntineoplastic Combined Chemotherapy ProtocolsAnimalsHumansComputer SimulationProgramming LanguagesTherapyArtificial intelligenceAutomated reasoningbusinessMedical Informatics
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Conception d'architectures compactes pour la détection spatiotemporelle d'actions en temps réel

2022

This thesis tackles the spatiotemporal action detection problem from an online, efficient, and real-time processing point of view. In the last decade, the explosive growth of video content has driven a broad range of application demands for automating human action understanding. Aside from accurate detection, vast sensing scenarios in the real-world also mandate incremental, instantaneous processing of scenes under restricted computational budgets. However, current research and related detection frameworks are incapable of simultaneously fulfilling the above criteria. The main challenge lies in their heavy architectural designs and detection pipelines to extract pertinent spatial and tempor…

Artificial intelligenceApprentissage profond[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingDeep learningDétection d'actionsIntelligence artificielleAction detection
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Exploiting deep learning algorithms and satellite image time series for deforestation prediction

2022

In recent years, we have witnessed the emergence of Deep Learning (DL) methods, which have led to enormous progress in various fields such as automotive driving, computer vision, medicine, finances, and remote sensing data analysis. The success of these machine learning methods is due to the ever-increasing availability of large amounts of information and the computational power of computers. In the field of remote sensing, we now have considerable volumes of satellite images thanks to the large number of Earth Observation (EO) satellites orbiting the planet. With the revisit time of satellites over an area becoming shorter and shorter, it will probably soon be possible to obtain daily imag…

Artificial intelligenceDeforestation predictionRéseaux de neurones récurrentsApprentissage profondRecurrent neural networks[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage time seriesDeep learningSatellite imagesSéries temporelles d'imagesIntelligence artificiellePrédiction déforestationImages satellitaires
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Real-time micro-expression analysis by artificial vision

2022

Human-computer interaction technologies focus more and more on the human being, whether it is on his identity, or on his physical and mental state. Significant progress has been made in the last few decades. However, the study of thoughts and emotions is still an underdeveloped field, but one that has begun to gain considerable interest. In this field, the analysis of facial expressions is the preferred treatment.Unlike a macro-expression, which is visible to the eye, a micro-expression is a type of involuntary facial expression that is extremely rapid and of very low intensity. The computer vision scientific community has been studying ways to automatically recognize micro-expressions usin…

Artificial intelligence[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingVision par ordinateurMachine learningComputer visionEmotional artificial intelligenceApprentissage automatiqueIntelligence artificielleIntelligence artificielle émotionnelle
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Traitement de données RGB et Lidar à extrêmement haute résolution: retombées de la compétition de fusion de données 2015 de l'IEEE GRSS - Partie A / …

2016

International audience; In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource studies. The 2015 edition of the contest proposed a multiresolution and multisensorial challenge involving extremely high-resolution RGB images and a three-dimensional (3-D) LiDAR point cloud. The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this paper, we discuss the sci…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceMULTIMODAL-DATA FUSIONGeophysics. Cosmic physics0211 other engineering and technologies02 engineering and technologyCONTESTcomputer.software_genre01 natural sciencesOutcome (game theory)LIDARTraitement des imagesIMAGE ANALYSIS AND DATA FUSION (IADF)DEEP NEURAL NETWORKSDeep neural networksTraitement du signal et de l'imageMULTIRESOLUTION910 Geography & travelMultiresolutionGround truthLANDCOVER CLASSIFICATIONIMAGE AERIENNE1903 Computers in Earth SciencesBenchmarkingVision par ordinateur et reconnaissance de formesOcean engineering10122 Institute of GeographyLidarDeep neural networksData miningExtremely high spatial resolutionMultimodal-data fusionLiDARComputers in Earth Sciences; Atmospheric ScienceImage analysis and data fusion (IADF)EXTREMELY HIGH SPATIAL RESOLUTIONCLASSIFICATIONTRAITEMENT IMAGE1902 Atmospheric ScienceAPPRENTISSAGE STATISTIQUEComputers in Earth SciencesTELEDETECTIONSynthèse d'image et réalité virtuelleTC1501-1800021101 geological & geomatics engineering0105 earth and related environmental sciencesLandcover classificationmultiresolution-[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]QC801-809Intelligence artificielleMULTISOURCESensor fusionRGB color modelcomputerMultisource
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Privacy enhanced mutual authentication in LTE

2013

In this paper we propose a way to enhance the identity privacy in LTE/LTE-Advanced systems. This is achieved while minimizing the impact on the existing E-UTRAN system. This is important since proposals to modify a widely deployed infrastructure must be cost effective, both in terms of design changes and in terms of deployment cost. In our proposal, the user equipment (UE) identifies itself with a dummy identity, consisting only of the mobile nation code and the mobile network code. We use the existing signalling mechanisms in a novel way to request a special encrypted identity information element. This element is protected using identity-based encryption (IBE), with the home network (HPLMN…

AuthenticationInformation privacybusiness.industryComputer scienceMutual authenticationEncryptionComputer securitycomputer.software_genrePublic-key cryptographyIdentifierUser equipmentMessage authentication codebusinesscomputerComputer network2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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Testing odor memory : incidental versus intentional learning, implicit versus explicit memory

2002

International audience

Autobiographical memoryLong-term memory[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering05 social sciencesCognition[SDV.IDA] Life Sciences [q-bio]/Food engineering050105 experimental psychologyAPPRENTISSAGE03 medical and health sciences0302 clinical medicine[SDV.IDA]Life Sciences [q-bio]/Food engineeringExplicit memorySemantic memory[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering0501 psychology and cognitive sciencesImplicit memoryVerbal memoryPsychology030217 neurology & neurosurgeryComputingMilieux_MISCELLANEOUSRecognition memoryCognitive psychology
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