00782nam a2200229 i 450099100029032970753620020506124740.0940316s1958 uk ||| | eng b10680068-39ule_instEXGIL142992ExLBiblioteca InterfacoltàitaSyme, Ronald152486Tacitus /by Ronald SymeOxford :Clarendon press,19582 v. ;24 cm.Tacito, Publio Cornelio.b1068006802-04-1428-06-02991000290329707536LE002 Fondo Brown 71/I-II1LE002-6776N-6777Nle002-E0.00-no 00000.i1077342328-06-02Tacitus17570UNISALENTOle00201-01-94ma -enguk 0101011cam a22002774a 4500991003316029707536161216s2000 enka bd 001 0 eng d0750643730b14314587-39ule_instBibl. Dip.le Aggr. Matematica e Fisica - Sez. Fisicaeng617.7/50321LC RE939.7617.7Millodot, Michel785206Dictionary of optometry and visual science /Michel Millodot5th ed.Oxford ;Boston :Butterworth-Heinemann,2000xviii, 344 p. :ill. ;24 cmOptometryDictionariesVisionDictionaries.b1431458717-02-2216-12-16991003316029707536LE006 617.7 MIL12006000173421le006gE70.54-l- 00000.i1579164616-12-16Dictionary of optometry and visual science1748080UNISALENTOle00616-12-16ma engenk0001315nam2 22003011i 450 VAN005850520151120101600.49888-395-1442-220070321d2003 |0itac50 baitaIT|||| |||||ˆ31: ‰Matematica finanziaria e attuarialeW. Maraschini, M. Palma, G. OlivieriTorinoParaviac2002VI, 185 p.27 cm.001VAN00586102001 MultiForMatmoduli per la formazione matematica nella Scuola SuperioreWalter Maraschini, Mauro Palma210 TorinoParavia215 v.27 cm.3197-XXMathematics education [MSC 2020]VANC023813MFTorinoVANL000001MaraschiniWalterVANV016917302267OlivieriGustavoVANV006508231231PalmaMauroVANV016919263067ParaviaVANV108079650ITSOL20230616RICABIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08VAN0058505BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS 97-XX 2600 08NS 234 XL 20070321 DeterioratoMatematica finanziaria e attuariale1437674UNICAMPANIA04107nam 22006375 450 991015186030332120250430230206.03-319-46705-010.1007/978-3-319-46705-4(CKB)3710000000952875(DE-He213)978-3-319-46705-4(MiAaPQ)EBC4745987(PPN)197141153(EXLCZ)99371000000095287520161118d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Electrodermal Activity Processing with Applications for Mental Health From Heuristic Methods to Convex Optimization /by Alberto Greco, Gaetano Valenza, Enzo Pasquale Scilingo1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XVIII, 138 p. 51 illus., 22 illus. in color.)3-319-46704-2 Includes bibliographical references.1. Electrodermal Phenomena and Recording Techniques -- 2. Modeling for the Analysis of the EDA -- 3. Evaluation of CDA and CvxEDA models -- 4. Emotions and Mood States: Modeling, Elicitation, and Recognition -- 5. Experimental Applications on Multi-Sensory Affective Stimulation -- 6. Conclusions.This book explores Autonomic Nervous System (ANS) dynamics as investigated through Electrodermal Activity (EDA) processing. It presents groundbreaking research in the technical field of biomedical engineering, especially biomedical signal processing, as well as clinical fields of psychometrics, affective computing, and psychological assessment. This volume describes some of the most complete, effective, and personalized methodologies for extracting data from a non-stationary, nonlinear EDA signal in order to characterize the affective and emotional state of a human subject. These methodologies are underscored by discussion of real-world applications in mood assessment. The text also examines the physiological bases of emotion recognition through noninvasive monitoring of the autonomic nervous system. This is an ideal book for biomedical engineers, physiologists, neuroscientists, engineers, applied mathmeticians, psychiatric and psychological clinicians, and graduate students in these fields. This book also:  Expertly introduces a novel approach for EDA analysis based on convex optimization and sparsity, a topic of rapidly increasing interest  Authoritatively presents groundbreaking research achieved using EDA as an exemplary biomarker of ANS dynamics Deftly explores EDA's potential as a source of reliable and effective markers for the assessment of emotional responses in healthy subjects, as well as for the recognition of pathological mood states in bipolar patients .BiotechnologySignal processingBiomedical engineeringBioinformaticsNeurosciencesBiotechnologySignal, Speech and Image ProcessingBiomedical Engineering and BioengineeringComputational and Systems BiologyNeuroscienceBiotechnology.Signal processing.Biomedical engineering.Bioinformatics.Neurosciences.Biotechnology.Signal, Speech and Image Processing.Biomedical Engineering and Bioengineering.Computational and Systems Biology.Neuroscience.610.28Greco Albertoauthttp://id.loc.gov/vocabulary/relators/aut483157Valenza Gaetanoauthttp://id.loc.gov/vocabulary/relators/autScilingo E. Pasqualeauthttp://id.loc.gov/vocabulary/relators/autBOOK9910151860303321Advances in Electrodermal Activity Processing with Applications for Mental Health2532361UNINA