Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (xiii, 333 Seiten) , Diagramme

ISBN: 9783031141973

Series Statement: Contributions to statistics

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-14196-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-14198-0

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-14199-7

Language: English

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-14197-3

URL: Volltext  (URL des Erstveröffentlichers)

URL: lizenzpflichtig

UID:

Format: 1 Online-Ressource (xv, 380 Seiten) , Illustrationen, Diagramme (überwiegend farbig)

ISBN: 9783030260361

Series Statement: Contributions to statistics

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-26035-4

Language: English

Keywords: Konferenzschrift ; Aufsatzsammlung ; Konferenzschrift

DOI: 10.1007/978-3-030-26036-1

URL: Volltext  (URL des Erstveröffentlichers)

URL: lizenzpflichtig

URL: Inhaltstext

UID:

Format: 1 Online-Ressource (434 p.)

ISBN: 9783036554525 , 9783036554518

Content: The aim of ITISE 2022 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, ITISE 2022 is soliciting high-quality original research papers (including significant works-in-progress) on any aspect time series analysis and forecasting, in order to motivating the generation and use of new knowledge, computational techniques and methods on forecasting in a wide range of fields

Note: English

Language: Undetermined

URL: kostenfrei

UID:

Format: 1 Online-Ressource (600 p.)

ISBN: 9783036517315 , 9783036517322

Content: The ITISE 2021 (7th International conference on Time Series and Forecasting) seeks to provide a discussion forum for scientists, engineers, educators, and students about the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, forecaster, econometric, etc., in the field of time series analysis and forecasting

Note: English

Language: English

URL: kostenfrei

UID:

Format: 1 Online-Ressource (XXIX, 587 p. 313 illus., 255 illus. in color)

ISBN: 9783030179359

Series Statement: Lecture Notes in Bioinformatics 11466

Content: Bioinformatics for healthcare and diseases -- Developing a DEVS-JAVA model to simulate and pre-test changes to emergency care delivery in a safe and efficient manner -- Concept Bag: A New Method for Computing Concept Similarity in Biomedical Data -- A reliable method to remove batch effects maintaining group differences in lymphoma methylation case study -- Predict breast tumor response to chemotherapy using a 3D deep learning architecture applied to DCE-MRI data -- Data Fusion for Improving Sleep Apnoea Detection from Single-lead ECG Derived Respiration -- Instrumented shoes for 3D GRF analysis and characterization of human gait -- Novel Four Stages Classification of Breast Cancer Using Infrared Thermal Imaging and a Deep Learning Model -- Comparison of numerical and laboratory experiment examining deformation of red blood cell -- Levenberg-Marquardt variants in chrominance-based skin tissue detection -- A mini-review of Biomedical Infrared Thermography (B-IRT) -- Mathematical Modeling and Docking of Medicinal Plants and Synthetic drugs to determine their effects on Abnormal Expression of Cholinesterase and Acetyl Cholinesterase Proteins in Alzheimer -- Definition of Organic Processes via Digital Monitoring Systems -- Detection of Pools of Bacteria with Public Health Importance in Wastewater Effluent from a Municipality in South Africa using Next Generation Sequencing and Metagenomics Analysis -- Computational genomics/proteomics -- Web-based application for accurately classifying cancer type from microarray gene expression data using a support vector machine (SVM) learning algorithm -- Associating Protein Domains with Biological Functions: A Tripartite Network Approach -- Interaction of ZIKV NS5 and STAT2 explored by Molecular Modeling, Docking, and Simulations Studies -- Entropy-based detection of genetic markers for bacteria genotyping -- Clustering of Klebsiella Strains Based on Variability in Sequencing Data -- Addition of pathway-based information to improve predictions in transcriptomics -- Common Gene Regulatory Network for Anxiety Disorder using Cytoscape: Detection and Analysis -- Insight about nonlinear dimensionality reduction methods applied to protein molecular dynamics -- Computational systems for modelling biological processes -- HIV Drug Resistance Prediction with Categorical Kernel Functions -- Deciphering general characteristics of residues constituting allosteric communication paths -- Feature (Gene) Selection in Linear Homogeneous Cuts -- DNA Sequence Alignment Method Based on Trilateration -- Convolutional Neural Networks for Red Blood Cell Trajectory Prediction in Simulation of Blood Flow -- Platform for Adaptive Knowledge Discovery and Decision Making Based on Big Genomics Data Analytics -- Simulation Approaches to Stretching of Red Blood Cells -- Describing sequential association patterns from longitudinal microarray data sets in humans -- Biomedical Engineering -- Low resolution electroencephalographic-signals-driven semantic retrieval: Preliminary results -- A simpler command of motor using BCI -- A Biomechanical Model Implementation for Upper-Limbs Rehabilitation Monitoring Using IMUs -- Non-generalized analysis of the multimodal signals for emotion recognition: preliminary results -- Variables in a Group of Young Overweight Men -- Brain Hematoma Segmentation Using Active Learning and an Active Contour Model -- DYNLO: Enhancing Non-Linear Regularized State Observer Brain Mapping Technique by Parameter Estimation with Extended -- Analysis of the behavior of the red blood cell model in a tapered microchannel -- Radiofrequency Ablation for Treating Chronic Pain of Bones: Effects of Nerve Locations -- Biomedical image analysis -- Visualization and Cognitive Graphics in Medical Scientific Research -- Detection of static objects in an image based on texture analysis -- Artefacts Recognition and Elimination in Video Sequences with Ciliary Respiratory Epithelium -- Cross Modality Microscopy Segmentation via Adversarial Adaptation -- Assessment of pain-induced changes in cerebral microcirculation by imaging photoplethysmography -- Detection of Subclinical Keratoconus Using Biometric Parameters -- A Computer Based Blastomere Identification and Evaluation Method for Day 2 Embryos during IVF/ICSI Treatments -- Detection of breast cancer using infrared thermography and deep neural networks -- Development of an ECG Smart Jersey based on Next Generation Computing for Automated Detection of Heart Defects among Athletes -- Biomedicine and e-Health -- Analysis of finger thermoregulation by using signal processing techniques -- Development of smart-technology for prediction drug properties based on modified algorithms of artificial immune systems and ontological models -- Comparative study of Feature Selection methods for Medical Full Text Classification -- Estimation of Lung Properties Using ANN-Based Inverse Modeling of Spirometric Data -- Model of the mouth pressure signal during pauses in total liquid ventilation

Content: The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019. The total of 97 papers presented in the proceedings, was carefully reviewed and selected from 301 submissions. The papers are organized in topical sections as follows: Part I: High-throughput genomics: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer sequencing data; next generation sequencing and sequence analysis; structural bioinformatics and function; telemedicine for smart homes and remote monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and personalized medicine. Part II: Bioinformatics for healthcare and diseases; computational genomics/proteomics; computational systems for modelling biological processes; biomedical engineering; biomedical image analysis; and biomedicine and e-health

Additional Edition: ISBN 9783030179342

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-17934-2

Language: English

DOI: 10.1007/978-3-030-17935-9

URL: lizenzpflichtig

UID:

Format: 1 Online-Ressource (XXX, 527 p. 208 illus., 153 illus. in color)

ISBN: 9783030179380

Series Statement: Lecture Notes in Bioinformatics 11465

Content: High-throughput genomics: bioinformatic tools and medical applications -- A Coarse-Grained Representation for Discretizable Distance Geometry with Interval Data -- Fragment-based Drug Design to Discover Novel Inhibitor of Dipeptidyl Peptidase-4 as a Potential Drug for Type 2 Diabetes Therapy -- Discovery of Novel Alpha-Amylase Inhibitors For Type II Diabetes Mellitus Through The Fragment-Based Drug Design -- Compression of Nanopore FASTQ files -- De novo Transcriptome Global Assembly of Solea senegalensis v5.0 Using TransFlow -- Deciphering the role of PKC in calpain-CAST system through formal modeling approach -- The Application of Machine Learning Algorithms to Diagnose CKD Stages and Identify Critical Metabolites Features -- Expression change correlations between transposons and adjacent genes in lung cancer reveal a genomic location dependence and highlights cancer-significant genes -- Signal processing based CNV detection in bacterial genomes -- Omics data acquisition, processing, and analysis -- Dependency Model for Visible Aquaphotomics -- Image based individual identification of Sumatra barb (Puntigrus tetrazona) -- Alignment of Sequences Allowing for Non-Overlapping Unbalanced Translocations of Adjacent Factors -- Probability in HPLC-MS metabolomics -- Pipeline for Electron Microscopy Images Processing -- A Greedy Algorithm for Detecting Mutually Exclusive Patterns in Cancer Mutation Data -- Qualitative Comparison of Selected Indel Detection Methods for RNA-Seq Data -- Structural and functional features of glutathione reductase transcripts from olive (Olea europaea L.) seeds -- Bioinformatics approaches for analyzing cancer sequencing data -- Prediction of thermophilic proteins using voting algorithm -- Classifying Breast Cancer Histopathological Images Using A Robust Artificial Neural Network Architecture -- Spatial Attention Lesion Detection on Automated Breast Ultrasound -- Essential Protein Detection from Protein-Protein Interaction Networks Using Immune Algorithm -- Integrating multiple datasets to discover stage-specific cancer related genes and stage-specific pathways -- Integrated detection of copy number variation based on assembly of NGS and 3GS data -- Protein Remote Homology Detection based on Profiles -- Next generation sequencing and sequence analysis -- Reads in NGS are distributed over a sequence very inhomogeneously -- Differential Expression Analysis of ZIKV Infected Human RNA Sequence Reveals Potential Genetic Biomarkers -- Identification of Immunoglobulin Gene Usage in Immune Repertoires Sequenced by Nanopore Technology -- Flexible and Efficient Algorithms for Abelian Matching in Genome Sequences -- Analysis of gene regulatory networks inferred from ChIP-seq data -- Structural Bioinformatics and Function -- Function vs. taxonomy: the case of fungi mitochondria ATP synthase genes -- Non-Coding Regions of Chloroplast Genomes Exhibit a Structuredness of Five Types -- Characteristics of Protein Fold Space Exhibits Close Dependence on Domain Usage -- Triplet Frequencies Implementation in Total Transcriptome Analysis -- A hierarchical and scalable strategy for protein structural classification -- Protein structural signatures revisited: geometric linearity of main chains are more relevant to classification performance than packing of residues -- Telemedicine for Smart Homes and Remote Monitoring -- Positioning Method for Arterial Blood Pressure Monitoring Wearable Sensor -- Study of the detection of falls using the SVM algorithm, different datasets of movements and ANOVA -- Influence of illuminance on sleep onset latency in IoT based lighting system environment -- Clustering and analysis of Biological Sequences with Optimization Algorithms -- Efficient online Laplacian eigenmap computation for dimensionality reduction in molecular phylogeny via optimisation on the sphere -- PROcket, an efficient algorithm to predict Protein Ligand Binding Site -- Gene Expression High-Dimensional Clustering towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature -- Computational Approaches for Drug Repurposing and Personalized Medicine -- When Mathematics Outsmarts Cancer -- Influence of the stochasticity in the model on the certain drugs pharmacodynamics -- Graph Model for the Identification of Multi-Target Drug Information for Culinary Herbs -- On Identifying Candidates for Drug Repurposing for the Treatment of Ulcerative Colitis using Gene Expression

Content: The two-volume set LNBI 11465 and LNBI 11466 constitutes the proceedings of the 7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019, held in Granada, Spain, in May 2019. The total of 97 papers presented in the proceedings, was carefully reviewed and selected from 301 submissions. The papers are organized in topical sections as follows: Part I: High-throughput genomics: bioinformatics tools and medical applications; omics data acquisition, processing, and analysis; bioinformatics approaches for analyzing cancer sequencing data; next generation sequencing and sequence analysis; structural bioinformatics and function; telemedicine for smart homes and remote monitoring; clustering and analysis of biological sequences with optimization algorithms; and computational approaches for drug repurposing and personalized medicine. Part II: Bioinformatics for healthcare and diseases; computational genomics/proteomics; computational systems for modelling biological processes; biomedical engineering; biomedical image analysis; and biomedicine and e-health

Additional Edition: ISBN 9783030179373

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-17937-3

Language: English

DOI: 10.1007/978-3-030-17938-0

URL: lizenzpflichtig

UID:

Format: 1 Online-Ressource(XIV, 460 p. 195 illus., 141 illus. in color.)

Edition: 1st ed. 2020.

ISBN: 9783030562199

Series Statement: Contributions to Statistics

Content: Part I: Advanced Statistical and Mathematical Methods for Time Series Analysis -- Random Forest Variable Selection for Sparse Vector Autoregressive Models (Dmitry Pavlyuk) -- Covariance functions for Gaussian Laplacian fields in higher dimension (Gyorgy Terdik) -- The Correspondence between Stochastic Linear Diference and Diferential Equations (D. Stephen G. Pollock) -- New test for a random walk detection based on the arcsine law (Konrad Furmanczyk, Marcin Dudzinski and Arkadiusz Orlowski) -- Part II: Econometric Models and Forecasting -- On the automatic identification of Unobserved Components Models (Diego J. Pedregal and Juan R. Trapero) -- Spatial integration of pig meat markets in the EU: Complex Network analysis of nonlinear price relationships (Christos Emmanouilides and Alexej Proskynitopoulos) -- Comparative Study of Models for Forecasting Nigerian Stock Exchange Market Capitalization (Nura Isah, Basiru Yusuf and Sani I.S. Doguwa) -- Industry Specifics of Models Predicting Financial Distress (Dagmar Camska) -- Stochastic volatility model's predictive relevance for Equity Markets (Per B Solibakke) -- Empirical test of the Balassa-Samuelson Effect in Selected African Countries (Joel Hinaunye Eita, Zitsile Zamantungwa Khumalo and Ireen Choga) -- Part III: Energy Time Series Forecasting -- End of charge detection of batteries with high production tolerances (Andre Loechte, Ole Gebert and Peter Gloesekoetter) -- The effect of Daylight Saving Time on Spanish Electrical Consumption (Eduardo Caro Huertas, Jesus Juan Ruiz, Marta Mana Sanchez, Jesus Ruperez Aguilera, Carlos Rodriguez Huidobro, Ana Rodriguez Aparicio and Juan Jose Abellan Perez) -- Wind Speed Forecasting Using Kernel Ridge Regression (Mohammad Alalami, Maher Maalouf and Tarek El Fouly) -- Applying a 1D-CNN Network to Electricity Load Forecasting (Christian Lang, Florian Steinborn, Oliver Steffens and Elmar W. Lang) -- Long and Short Term Prediction of Power Consumption using LSTM Networks (Juan Carlos Morales, Salvador Moreno, Carlos Bailon, Hector Pomares, Ignacio Rojas and Luis Javier Herrera) -- Part IV: Forecasting Complex/Big data problems -- Freedman's Paradox: a Solution Based on Normalized Entropy (Pedro Macedo) -- Mining News Data for the Measurement and Prediction of Inflation Expectations (Diana Gabrielyan, Lenno Uuskula and Jaan Masso) -- Big Data: Forecasting and Control for Tourism Demand (Miguel Angel Ruiz Reina) -- Traffic Networks via Neural Networks: Description and Evolution (Alexandros Sopasakis) -- Part V: Time Series Analysis with Computational Intelligence -- A Comparative Study on Machine Learning Techniques for Intense Convective Rainfall Events Forecasting (Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Riccardo Biondi, Enrico Solazzo, Eugenio Realini, Giovanna Venuti and Giorgio Guariso) -- Long-Short Term Memory Networks for the Prediction of Transformer Temperature for Energy Distribution Smart Grids (Francisco Jesus Martinez-Murcia, Javier Ramirez, Fermin Segovia, Andres Ortiz, Susana Carrillo, Javier Leiva, Jacob Rodriguez-Rivero and Juan Manuel Gorriz) -- Deep Multilayer Perceptron for Knowledge Extraction: Understanding the Gardon de Mialet Flash Floods Modelling (Bob E. Saint Fleur, Guillaume Artigue, Anne Johannet and Severin Pistre) -- Forecasting short-term and medium-term time series:a comparison of artificial neural networks and fuzzy models (Tatiana Afanasieva and Pavel Platov) -- Inflation Rate Forecasting: Extreme Learning Machine as a Model Combination Method (Jeronymo Marcondes Pinto and Emerson Fernandes Marcal) -- Part VI: Time Series Analysis and Prediction in Other Real Problems -- Load Forecast by Multi Task Learning Models: designed for a new collaborative world (Leontina Pinto, Jacques Szczupak and Robinson Semolini) -- Power transformer forecasting in smart grids using NARX neural networks (Javier Ramirez, Francisco J. Martinez Murcia, Fermin Segovia, Andres Ortiz, Diego Salas-Gonz_alez, Susana Carrillo, Javier Leiva, Jacob Rodriguez- Rivero and Juan M. Gorriz) -- Short term forecast of emergency departements visits through calendar selection (Cosimo Lovecchio, Mauro Tucci, Sami Barmada, Andrea Serafini, Luigi Bechi, Mauro Breggia, Simona Dei and Daniela Matarrese) -- Discordant Observation Modelling (Sonya Leech and Bojan Bozic) -- Applying Diebold-Mariano test for performance evaluation between individual and hybrid time series models for modeling bivariate time series data and forecasting the unemployment rate in the USA (Moamen Abbas Mousa Al-Sharifi and Firas Ahmmed Mohammed Al-Mohana).

Content: This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019. The first two parts of the book present theoretical contributions on statistical and advanced mathematical methods, and on econometric models, financial forecasting and risk analysis. The remaining four parts include practical contributions on time series analysis in energy; complex/big data time series and forecasting; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix of topics, readers will acquire a more comprehensive perspective on the field of time series analysis and forecasting. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics. .

Additional Edition: ISBN 9783030562182

Additional Edition: ISBN 9783030562205

Additional Edition: ISBN 9783030562212

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030562182

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030562205

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030562212

Language: English

DOI: 10.1007/978-3-030-56219-9

URL: lizenzpflichtig

UID:

Format: 1 Online-Ressource(XXVII, 462 p. 189 illus., 152 illus. in color.)

Edition: 1st ed. 2022.

ISBN: 9783031077043

Series Statement: Lecture Notes in Bioinformatics 13346

Content: Biomedical Computing -- Biomedical Engineering -- Biomedical Signal Analysis -- Biomedicine. New Advances and Applications -- Biosensors and Data Acquisition -- Image Visualization and Signal Analysis in Biomedical Applications -- Computational Support for Clinical Decisions -- COVID-19. Bioinformatics and Biomedicine -- Chip-seq and RNA-Seq Analysis -- Bioinformatics and Biomarker Identification -- Computational Proteomics -- Computational Systems for Modelling Biological Processes -- Feature Selection, Extraction, and Data Mining in Bioinformatics: Approaches, Methods and Adaptations -- Machine Learning in Bioinformatics -- Next Generation Sequencing and Sequence Analysis.

Content: This volume constitutes the proceedings of the 9th International Work-Conference on IWBBIO 2020, held in Maspalomas, Gran Canaria, Spain, in June 2022. The total of 75 papers presented in the proceedings, was carefully reviewed and selected from 212 submissions. The papers cover the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine. .

Additional Edition: ISBN 9783031077036

Additional Edition: ISBN 9783031077050

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031077036

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031077050

Language: English

DOI: 10.1007/978-3-031-07704-3

URL: lizenzpflichtig

URL: Cover

UID:

Format: 1 Online-Ressource(XXVII, 468 p. 183 illus., 163 illus. in color.)

Edition: 1st ed. 2022.

ISBN: 9783031078026

Series Statement: Lecture Notes in Bioinformatics 13347

Content: Biomedical Computing -- Biomedical Engineering -- Biomedical Signal Analysis -- Biomedicine. New Advances and Applications -- Biosensors and Data Acquisition -- Image Visualization and Signal Analysis in Biomedical Applications -- Computational Support for Clinical Decisions -- COVID-19. Bioinformatics and Biomedicine -- Chip-seq and RNA-Seq Analysis -- Bioinformatics and Biomarker Identification -- Computational Proteomics -- Computational Systems for Modelling Biological Processes -- Feature Selection, Extraction, and Data Mining in Bioinformatics: Approaches, Methods and Adaptations -- Machine Learning in Bioinformatics -- Next Generation Sequencing and Sequence Analysis.

Content: This volume constitutes the proceedings of the 9th International Work-Conference on IWBBIO 2020, held in Maspalomas, Gran Canaria, Spain, in June 2022. The total of 75 papers presented in the proceedings, was carefully reviewed and selected from 212 submissions. The papers cover the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine. .

Additional Edition: ISBN 9783031078019

Additional Edition: ISBN 9783031078033

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031078019

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031078033

Language: English

DOI: 10.1007/978-3-031-07802-6

URL: lizenzpflichtig

URL: Cover

UID:

Format: 1 Online-Ressource(XII, 236 p. 55 illus., 42 illus. in color.)

Edition: 1st ed. 2023.

ISBN: 9783031402098

Series Statement: Contributions to Statistics

Content: Theoretical Aspects of Time Series -- Econometrics -- Time Series Analysis Applications -- Time Series Forecasting -- Time Series Forecasting.

Content: This book presents the latest developments in the theory and applications of time series analysis and forecasting. Comprising a selection of refereed papers, it is divided into several parts that address modern theoretical aspects of time series analysis, forecasting and prediction, with applications to various disciplines, including econometrics and energy research. The broad range of topics discussed, including matters of particular relevance for sustainable development, will give readers a modern perspective on the subject. The included contributions were originally presented at the 8th International Conference on Time Series and Forecasting, ITISE 2022, held in Gran Canaria, Spain, June 27-30, 2022. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics. .

Additional Edition: ISBN 9783031402081

Additional Edition: ISBN 9783031402104

Additional Edition: ISBN 9783031402111

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031402081

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031402104

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031402111

Language: English

DOI: 10.1007/978-3-031-40209-8

URL: lizenzpflichtig