01386nam0 22003131i 450 SUN003833120100407120000.088-8114-853-620050809d1999 |0itac50 baitaIT|||| |||||ˆI ‰palazzi di Napoliarchitetture e interni dal Rinascimento al neoclassicismoSergio Attanasiopresentazione di Giulia Parenteintroduzione di Gerard Labrotcon scritti di Sandro Castronuovo ... [et al.]NapoliEdizioni scientifiche italiane[1999]156 p.ill.24 cm.NapoliSUNL000005Attanasio, SergioSUNV02077124880Labrot, GérardSUNV019989Parente, GiuliaSUNV031824Castronuovo, SandroSUNV031826ESISUNV000952650Labrot, GèrardLabrot, GérardSUNV043434Labrot, GerardLabrot, GérardSUNV031825ITSOL20181109RICASUN0038331BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALE01 PREST IDb200 01 5738 BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALEIT-CE01075738PREST IDb200paPalazzi di Napoli347434UNICAMPANIA01756oam 2200517 450 991071661740332120210927150110.0(CKB)5470000002523995(OCoLC)1261320925(EXLCZ)99547000000252399520210723d2019 ua 0spaur|||||||||||txtrdacontentcrdamediacrrdacarrierColaborando con padres biológicos para promover la reunificaciónWashington, DC :U.S. Department of Health and Human Services, Administration for Children and Families, Administration on Children, Youth and Families, Children's Bureau, Child Welfare Information Gateway,2019.1 online resource (10 pages) color illustrationHoja informativa para las familias"Diciembre de 2019."Family reunificationUnited StatesBirthparentsUnited StatesFoster parentsUnited StatesBirthparentsfastFamily reunificationfastFoster parentsfastUnited StatesfastFamily reunificationBirthparentsFoster parentsBirthparents.Family reunification.Foster parents.Child Welfare Information Gateway (U.S.),United States.Children's Bureau,GPOGPOOCLCOOCLCFOCLCQGPOBOOK9910716617403321Colaborando con padres biológicos para promover la reunificación3507724UNINA04476nam 2200745 450 991080987610332120230808193028.01-5231-1069-41-118-76851-51-118-76850-7(CKB)3710000000657877(EBL)4524945(SSID)ssj0001668971(PQKBManifestationID)16460744(PQKBTitleCode)TC0001668971(PQKBWorkID)14830674(PQKB)11453420(PQKBManifestationID)16201339(PQKBWorkID)14830675(PQKB)23681631(MiAaPQ)EBC4524945(DLC) 2015044590(Au-PeEL)EBL4524945(CaPaEBR)ebr11210194(CaONFJC)MIL921128(OCoLC)929155320(EXLCZ)99371000000065787720151105d2016 uy| 0engur|n|---|||||txtccrEssentials of machine olfaction and taste /Takamichi NakamotoSolaris South Tower, Singapore :John Wiley & Sons Incorporated,2016.1 online resource (343 p.)Description based upon print version of record.1-118-76849-3 1-118-76848-5 Includes bibliographical references and index.2.3.1.2 Transduction of Odor Signals2.3.1.3 Molecular Biology of Olfaction; 2.3.2 Taste; 2.3.2.1 Anatomy of Taste; 2.3.2.2 Transduction of Taste Signals; 2.3.2.3 Molecular Biology of Taste; 2.4 Cell-Based Sensors and Receptor-Based Sensors ; 2.4.1 Tissue-Based Sensors ; 2.4.2 Cell-Based Sensors ; 2.4.3 Receptor-Based Sensors ; 2.4.3.1 Production of Odorant Receptors; 2.4.3.2 Immobilization of Odorant Receptors; 2.4.3.3 Measurement from Odorant Receptors; 2.4.4 Summary of the Biosensors; 2.5 Future Prospects; References; Chapter 3 Large-Scale Chemical Sensor Arrays for Machine Olfaction3.1 Introduction3.2 Overview of Artificial Olfactory Systems; 3.3 Common Sensor Technologies Employed in Artificial Olfactory Systems; 3.3.1 Metal-Oxide Gas Sensors ; 3.3.2 Piezoelectric Sensors; 3.3.3 Conducting Polymer Sensors; 3.4 Typical Application of "Electronic Nose" Technologies; 3.5 A Comparison between Artificial and the Biological Olfaction Systems; 3.6 A Large-Scale Sensor Array ; 3.6.1 Conducting Polymers; 3.6.2 Sensor Interrogation Strategy; 3.6.3 Sensor Substrate; 3.7 Characterization of the Large-Scale Sensor Array3.7.1 Pure Analyte Study: Classification and Quantification Capability3.7.2 Binary Mixture Study: Segmentation and Background Suppression Capability; 3.7.3 Polymer Classes: Testing Broad and Overlapping Sensitivity, High Level of Redundancy; 3.7.4 System Robustness and Long-Term Stability ; 3.8 Conclusions; Acknowledgment; References; Chapter 4 Taste Sensor: Electronic Tongue with Global Selectivity; 4.1 Introduction; 4.2 Electronic Tongues; 4.3 Taste Sensor; 4.3.1 Introduction; 4.3.2 Principle; 4.3.3 Response Mechanism; 4.3.4 Measurement Procedure; 4.3.5 Sensor Design Techniques4.3.6 Basic Characteristics4.3.6.1 Threshold; 4.3.6.2 Global Selectivity; 4.3.6.3 High Correlation with Human Sensory Scores; 4.3.6.4 Definition of Taste Information; 4.3.6.5 Detection of Interactions between Taste Substances; 4.3.7 Sample Preparation; 4.3.8 Analysis; 4.4 Taste Substances Adsorbed on the Membrane; 4.5 Miniaturized Taste Sensor; 4.6 Pungent Sensor; 4.7 Application to Foods and Beverages; 4.7.1 Introduction; 4.7.2 Beer; 4.7.3 Coffee; 4.7.4 Meat; 4.7.5 Combinatorial Optimization Technique for Ingredients and Qualities Using a GA; 4.7.5.1 Introduction; 4.7.5.2 GA4.7.5.3 Constrained Nonlinear OptimizationChemical detectorsIntelligent sensorsOlfactory sensorsSmellSimulation methodsTasteSimulation methodsChemical detectors.Intelligent sensors.Olfactory sensors.SmellSimulation methods.TasteSimulation methods.681/.754TEC008000bisacshNakamoto TakamichiMiAaPQMiAaPQMiAaPQBOOK9910809876103321Essentials of machine olfaction and taste3987741UNINA