04044nam 2200625Ia 450 991046221090332120200520144314.01-283-57181-197866138842680-12-391486-8(CKB)2670000000234143(EBL)1000318(OCoLC)827626903(SSID)ssj0000736205(PQKBManifestationID)12247313(PQKBTitleCode)TC0000736205(PQKBWorkID)10772378(PQKB)10830086(MiAaPQ)EBC1000318(PPN)170604101(Au-PeEL)EBL1000318(CaPaEBR)ebr10590759(CaONFJC)MIL388426(EXLCZ)99267000000023414319940613d2012 uy 0engurcn|||||||||txtccrAcoustics[electronic resource] /Leo L. Beranek and Tim J. MellowOxford Academic Press20121 online resource (727 p.)Description based upon print version of record.0-12-391421-3 Includes bibliographical references and index.Front Cover; Acoustics: Sound Fields and Transducers; 1.3 PROPAGATION OF SOUND THROUGH GAS; 1.4 MEASURABLE ASPECTS OF SOUND; 1.6 STANDARD INTERNATIONAL (SI) UNITS; 1.8 SPEED AND VELOCITY; 1.10 INTENSITY, ENERGY DENSITY, AND LEVELS; 2.5 SOLUTION OF WAVE EQUATION FOR AIR IN A TUBE FILLED WITH ABSORBENT MATERIAL; 2.7 FREELY TRAVELING CYLINDRICAL WAVE; 2.10 CYLINDRICAL COORDINATES; 2.11 SPHERICAL COORDINATES; 6.6 SOUND PRESSURE PRODUCED AT DISTANCE R; 4.6 Intermediate-sized tube-mixed mass-resistance element [a (in meters)>0.01/ f and a<10/f] [2]; 4.8 ACOUSTIC TRANSFORMERS4.9 REFLECTION OF A PLANE WAVE FROM A PLANE 4.14 DIPOLE POINT SOURCE (DOUBLET); 4.15 RADIATION FROM AN OSCILLATING SPHERE; 4.16 DIRECTIVITY INDEX AND DIRECTIVITY FACTOR; 4.18 OSCILLATING SPHERE; 4.19 PLANE CIRCULAR PISTON IN INFINITE BAFFLE; 4.20 PLANE CIRCULAR FREE DISK; 4.21 PLANE CIRCULAR PISTON RADIATING FROM ONE SIDE ONLY IN FREE SPACE; 4.22 SOUND IN LOSSY TUBES; 4.23 WAVE EQUATION FOR AN INFINITE LOSSY TUBE; 5.5 ELECTROSTATIC MICROPHONE (CAPACITOR MICROPHONE); 5.6 ELECTROMAGNETIC RIBBON MICROPHONES; 6.10 MEASUREMENT OF THIELE-SMALL PARAMETERS; 6.13 VOICE-COIL DESIGN7.2 UNBAFFLED DIRECT-RADIATOR LOUDSPEAKER 7.6 CLOSED-BOX BAFFLE [1,2]; 7.9 ACOUSTICAL CIRCUIT; 9.9 INFINITE PARABOLIC HORN [11]; 10.9 TOTAL STEADY SOUND-PRESSURE LEVEL; 12.5 RADIATION FROM A POINT SOURCE ON A SPHERE; 12.9 RADIATION FROM AN OSCILLATING CONVEX DOME IN AN INFINITE BAFFLE; 13.6 REFLECTION OF A POINT SOURCE FROM A PLANE; 13.9 RADIATION FROM A RESILIENT DISK IN AN INFINITE BAFFLE [19]; 14.7 WORKED EXAMPLE NO. 1: LOUDSPEAKER IN AN ENCLOSURE WITH A BASS-REFLEX PORT; 12.7 RADIATION FROM A RECTANGULAR CAP IN A SPHERE; 14.9 FAR-FIELD ON-AXIS PRESSURE; IndexAcoustics: Sound Fields and Transducers is a thoroughly updated version of Leo Beranek's classic 1954 book that retains and expands on the original's detailed acoustical fundamentals while adding practical formulas and simulation methods. Serving both as a text for students in engineering departments and as a reference for practicing engineers, this book focuses on electroacoustics, analyzing the behavior of transducers with the aid of electro-mechano-acoustical circuits. Assuming knowledge of electrical circuit theory, it starts by guiding readers through the basics of soundElectro-acousticsSoundRecording and reproducingElectronic books.Electro-acoustics.SoundRecording and reproducing.620.2Beranek Leo Leroy1914-151247Mellow Tim J857339MiAaPQMiAaPQMiAaPQBOOK9910462210903321Acoustics1914287UNINA02370 am 22003493u 450 991076561980332120200113978363146799210.3726/b13819(CKB)4100000007523120(OAPEN)1003116(EXLCZ)99410000000752312020200113d|||| uy geruuuuu---auuuuKommunale Finanzautonomie und ihre Bedeutung fuer eine effiziente lokale FinanzwirtschaftBernPeter Lang International Academic Publishers20181 online resource (415) 3-631-46799-0 Obwohl die Notwendigkeit einer Reform des Gemeindefinanzsystems weitgehend anerkannt wird, tut sich die Politik mit konkreten Reformmaßnahmen schwer. Mit der vorliegenden Arbeit soll daher der Versuch unternommen werden, die Diskussion um die Gemeindefinanzen und ihre Reform einer systematischen Analyse zu unterziehen und konkreten Lösungen näher zu bringen. Dabei resultieren zwei Schwerpunkte: Der eine, kommunale Finanzautonomie, ist im wesentlichen politisch orientiert; der andere, Effizienz, ist eine im ökonomischen Sinne theoretisch ausgerichtete Sichtweise. Beide Aspekte werden miteinander verknüpft und aufeinander bezogen. Wichtig für das Gesamtverständnis ist dabei, daß kommunale Finanzautonomie Bedeutung für die Effizienz lokaler Finanzwirtschaften hat und nicht umgekehrt. Aufbauend auf der Feststellung, daß vorgefundene kommunale Finanzsysteme keine zufriedenstellende Autonomie garantieren, wird das gesamte System im Sinne einer umfassenden Erneuerung zur Diskussion gestellt. Es werden systematische Komponenten für ein äquivalenzorientiertes Gemeindesteuersystem entworfen, wobei auch die bestehenden Elemente kommunaler Finanzwirtschaften einbezogen werden.Finanzwissenschaftliche Schriften vol. 63Public administrationbicsscPolitical economybicsscEconomic systems & structuresbicsscPublic administrationPolitical economyEconomic systems & structuresNapp Hans-Georgaut1302066BOOK9910765619803321Kommunale Finanzautonomie und ihre Bedeutung fuer eine effiziente lokale Finanzwirtschaft3026082UNINA02944nam 2200601 450 991079070710332120230721011239.01-4629-0250-2(CKB)2550000001182416(EBL)1359588(SSID)ssj0001085231(PQKBManifestationID)12481766(PQKBTitleCode)TC0001085231(PQKBWorkID)11050171(PQKB)10146305(MiAaPQ)EBC1359588(Au-PeEL)EBL1359588(CaPaEBR)ebr10983807(CaONFJC)MIL562442(OCoLC)868284584(EXLCZ)99255000000118241620141120h20092009 uy 0engur|n|---|||||txtccrMaking out in Spanish /Celia EspelletaFirst edition.North Clarendon, Vermont :Tuttle Publishing,2009.©20091 online resource (180 p.)Description based upon print version of record.0-8048-4034-2 1-306-31191-8 Cover; Copyright; Contents; Introduction; 1 Hi...Nice to Meet You Hola...Encantado de Conocerle; 2 Yes, No, Maybe Sí, No, Quizás; 3 Now? Later? When? ¿Ahora? ¿Después? ¿Cuándo?; 4 Let's Go Out! ¡Vamos a Salir!; 5 Talk to Me! ¡Háblame!; 6 Coming and Going Ir y Venir; 7 Eat, Drink, Be Merry Come, Bebe, Disfruta la Vida; 8 Likes and Dislikes Me Gusta, No Me Gusta; 9 Insults and Quarrels Insultos y Peleas; 10 Chitchat and Courting Charlando y Cortejando; 11 On the Phone En el Teléfono; 12 Lovers' Language La Lengua del Amor; 13 Making Love Haciendo el Amor14 Love that Comes, Love that Goes Amor que Viene, Amor que VaBack CoverMaking Out in Spanish is a fun, accessible and thorough Spanish phrase book and guide to the Spanish language as it's really spoken.If you are a student, businessman or tourist traveling to Latin America or Spain and would like to have an authentic and meaningful experience, the key is being able to speak like a local. This friendly and easy-to-use Spanish phrasebook makes this possible. Making Out in Spanish has been carefully designed to act as a guide to modern colloquial Spanish for use in everyday informal interactions?giving access to the sort of catchy Spanish languageConversation and phrase booksEnglishSpanish languageTextbooks for foreign speakersEnglishSpanish languageSelf-instructionSpanish languageEnglish.Spanish languageEnglish.Spanish language468.2/421Espelleta Celia1487659MiAaPQMiAaPQMiAaPQBOOK9910790707103321Making out in Spanish3707621UNINA09276nam 22008535 450 991076848130332120240619153401.03-031-09034-910.1007/978-3-031-09034-9(MiAaPQ)EBC31016755(Au-PeEL)EBL31016755(DE-He213)978-3-031-09034-9(OCoLC)1415895688(CKB)29374735700041(EXLCZ)992937473570004120231207d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierClassification and Data Science in the Digital Age /edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (393 pages)Studies in Classification, Data Analysis, and Knowledge Organization,2198-3321Print version: Brito, Paula Classification and Data Science in the Digital Age Cham : Springer International Publishing AG,c2024 9783031090332 Preface -- R. Abdesselam: A Topological Clustering of Individuals -- C. Anton and I. Smith: Model Based Clustering of Functional Data with Mild Outliers -- F. Antonazzo and S. Ingrassia: A Trivariate Geometric Classification of Decision Boundaries for Mixtures of Regressions -- E. Arnone, E. Cunial, and L. M. Sangalli: Generalized Spatio-temporal Regression with PDE Penalization -- R. Ascari and S. Migliorati: A New Regression Model for the Analysis of Microbiome Data -- R. Aschenbruck, G. Szepannek, and A. F. X. Wilhelm: Stability of Mixed-type Cluster Partitions for Determination of the Number of Clusters -- A. Ashofteh and P. Campos: A Review on Official Survey Item Classification for Mixed-Mode Effects Adjustment -- V. Batagelj: Clustering and Blockmodeling Temporal Networks – Two Indirect Approaches -- R. Boutalbi, L. Labiod, and M. Nadif: Latent Block Regression Model -- N. Chabane, M. Achraf Bouaoune, R. Amir Sofiane Tighilt, B. Mazoure, N. Tahiri, and V. Makarenkov: Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendations -- T. Chadjipadelis and S. Magopoulou: COVID-19 Pandemic: a Methodological Model for the Analysis of Government’s Preventing Measures and Health Data Records -- J. Champagne Gareau, É. Beaudry, and V. Makarenkov: pcTVI: Parallel MDP Solver Using a Decomposition into Independent Chains -- C. Di Nuzzo and S. Ingrassia: Three-way Spectral Clustering -- J. Dobša and H. A. L. Kiers: Improving Classification of Documents by Semi-supervised Clustering in a Semantic Space -- J. Gama: Trends in Data Stream Mining -- L. A. García-Escudero, A. Mayo-Iscar, G. Morelli, and M. Riani: Old and New Constraints in Model Based Clustering -- V. G Genova, G. Giordano, G . Ragozini, and M. Prosperina Vitale: Clustering Student Mobility Data in 3-way Networks -- R. Giubilei: Clustering Brain Connectomes Through a Density-peak Approach -- T. Górecki, M. Šuczak, and P. Piasecki: Similarity Forest for Time Series Classification -- K. Hayashi, E. Hoshino, M. Suzuki, E. Nakanishi, K. Sakai, and M. Obatake: Detection of the Biliary Atresia Using Deep Convolutional Neural Networks Based on Statistical Learning Weights via Optimal Similarity and Resampling Methods -- Ch. Hennig: Some Issues in Robust Clustering -- J. Kalina and P. Janá£ek: Robustness Aspects of Optimized Centroids -- L. Labiod and M. Nadif: Data Clustering and Representation Learning Based on Networked Data -- Lazhar Labiod and Mohamed Nadif: Towards a Bi-stochastic Matrix Approximation of k-means and Some Variants -- A. LaLonde, T. Love, D. R. Young, and T. Wu: Clustering Adolescent Female Physical Activity Levels with an Infinite Mixture Model on Random Effects -- Á. López-Oriona, J. A. Vilar, and P. D’Urso: Unsupervised Classification of Categorical Time Series Through Innovative Distances -- D. Masís, E. Segura, J. Trejos, and A. Xavier: Fuzzy Clustering by Hyperbolic Smoothing -- R. Meng, H. K. H. Lee, and K. Bouchard: Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Networks -- H. Duy Nguyen, F. Forbes, G. Fort, and O. Cappé: An Online Minorization-Maximization Algorithm -- L. Palazzo and R. Ievoli: Detecting Differences in Italian Regional Health Services During Two Covid-19 Waves -- G. Panagiotidou and T. Chadjipadelis: Political and Religion Attitudes in Greece: Behavioral Discourses -- K. Pawlasová, I. Karafiátová, and J. Dvořák: Supervised Classification via Neural Networks for Replicated Point Patterns -- G. Perrone and G. Soffritti: Parsimonious Mixtures of Seemingly Unrelated Contaminated Normal Regression Models -- N. Pronello, R. Ignaccolo, L. Ippoliti, and S. Fontanella: Penalized Model-based Functional Clustering: a Regularization Approach via Shrinkage Methods -- D. Rodrigues, L. P. Reis, and B. M. Faria: Emotion Classification Based on Single Electrode Brain Data: Applications for Assistive Technology -- R. Scimone, A. Menafoglio, L. M. Sangalli, and P. Secchi: The Death Process in Italy Before and During the Covid-19 Pandemic: a Functional Compositional Approach -- O. Silva, Á. Sousa, and H. Bacelar-Nicolau: Clustering Validation in the Context of Hierarchical Cluster Analysis: an Empirical Study -- C. Silvestre, M. G. M. S. Cardoso, and M. Figueiredo: An MML Embedded Approach for Estimating the Number of Clusters -- Á. Sousa, O. Silva, M. Graça Batista, S. Cabral, and H. Bacelar-Nicolau: Typology of Motivation Factors for Employees in the Banking Sector: An Empirical Study Using Multivariate Data Analysis Methods -- J. Michael Spoor, J. Weber, and J. Ovtcharova: A Proposal for Formalization and Definition of Anomalies in Dynamical Systems -- N. Tahiri and A. Koshkarov: New Metrics for Classifying Phylogenetic Trees Using -means and the Symmetric Difference Metric -- S. D. Tomarchio: On Parsimonious Modelling via Matrix-variate t Mixtures -- G. Zammarchi, M. Romano, and C. Conversano: Evolution of Media Coverage on Climate Change and Environmental Awareness: an Analysis of Tweets from UK and US Newspapers.The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education. The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19–23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.Studies in Classification, Data Analysis, and Knowledge Organization,2198-3321Artificial intelligenceData processingMachine learningData miningMultivariate analysisStatisticsComputer programsData ScienceStatistical LearningMachine LearningData Mining and Knowledge DiscoveryMultivariate AnalysisStatistical SoftwareIntel·ligència artificialthubAprenentatge automàticthubMineria de dadesthubAnàlisi multivariablethubLlibres electrònicsthubArtificial intelligenceData processing.Machine learning.Data mining.Multivariate analysis.StatisticsComputer programs.Data Science.Statistical Learning.Machine Learning.Data Mining and Knowledge Discovery.Multivariate Analysis.Statistical Software.Intel·ligència artificialAprenentatge automàticMineria de dadesAnàlisi multivariable005.7Brito Paula1459040Dias José G1459041Lausen Berthold1459042Montanari Angela100774Nugent Rebecca1459043MiAaPQMiAaPQMiAaPQBOOK99910768481303321Classification and Data Science in the Digital Age3658465UNINA