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Bioinformatics research and applications : 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, proceedings / / edited by Mukul S. Bansal, Zhipeng Cai, Serghei Mangul
| Bioinformatics research and applications : 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, proceedings / / edited by Mukul S. Bansal, Zhipeng Cai, Serghei Mangul |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (404 pages) |
| Disciplina | 170 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico | Bioinformatics |
| ISBN | 3-031-23198-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MLMVFE: A Machine Learning Approach Based on Muli-View Features Extraction for Drug-Disease Associations Prediction -- STgcor: A Distribution-based Correlation Measurement Method for Spatial Transcriptome Data -- Automatic ICD Coding based on Multi-granularity Feature Fusion -- Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps -- Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension -- Private Epigenetic PaceMaker Detector using Homomorphic Encryption - Extended Abstract -- NIDN: Medical Code Assignment via Note-Code Interaction Denoising Network -- Research on the prediction method of disease classification based on imaging features -- M-US-EMRs: A Multi-Modal Data Fusion Method of Ultrasonic Images and Electronic Medical Records Used for Screening of Coronary Heart Disease -- Transposition Distance Considering Intergenic Regions for Unbalanced Genomes -- An SMT-based Framework for Reasoning about Discrete Biological Models -- ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-rank Representation Method for Single-cell RNA-sequencing Data Clustering -- An Efficient and User-friendly Software for PCR Primer Design for Detection of Highly Variable Bacteria -- A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes -- TDCOSR: A multimodality fusion framework for association analysis between genes and ROIs of Alzheimer’s disease -- Policy-based Hypertension Monitoring using Formal Runtime Verification Monitors -- Deep learning-enhanced MHC-II presentation prediction and peptidome deconvolution -- MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis -- Optimal sequence alignment to ED-strings -- Heterogeneous PPI network representation learning for protein complex identification -- A Clonal Evolution Simulator for Planning Somatic Evolution Studies -- Prediction of Drug-disease Relationship on Heterogeneous Networks Based on Graph Convolution -- t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution -- MPCDDI: A Secure Multiparty Computation-based Deep Learning Framework for Drug-drug Interaction Predictions -- A Multimodal Data Fusion-based Deep Learning Approach for Drug-Drug Interaction Prediction -- GNN-Dom: an unsupervised method for protein domain partition via protein contact map -- A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs -- Gaussian-enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations -- Distance Profiles of Optimal RNA Foldings -- 2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning -- EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain -- Simulating Spiking Neural Networks based on SW26010pro -- Entropy Based Clustering of Viral Sequences -- A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. |
| Record Nr. | UNISA-996503466103316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics Research and Applications : 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14–17, 2022, Proceedings / / edited by Mukul S. Bansal, Zhipeng Cai, Serghei Mangul
| Bioinformatics Research and Applications : 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14–17, 2022, Proceedings / / edited by Mukul S. Bansal, Zhipeng Cai, Serghei Mangul |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (404 pages) |
| Disciplina |
170
572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Artificial intelligence Computer networks Computer engineering Artificial Intelligence Computer Communication Networks Computer Engineering and Networks |
| ISBN | 3-031-23198-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MLMVFE: A Machine Learning Approach Based on Muli-View Features Extraction for Drug-Disease Associations Prediction -- STgcor: A Distribution-based Correlation Measurement Method for Spatial Transcriptome Data -- Automatic ICD Coding based on Multi-granularity Feature Fusion -- Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps -- Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension -- Private Epigenetic PaceMaker Detector using Homomorphic Encryption - Extended Abstract -- NIDN: Medical Code Assignment via Note-Code Interaction Denoising Network -- Research on the prediction method of disease classification based on imaging features -- M-US-EMRs: A Multi-Modal Data Fusion Method of Ultrasonic Images and Electronic Medical Records Used for Screening of Coronary Heart Disease -- Transposition Distance Considering Intergenic Regions for Unbalanced Genomes -- An SMT-based Framework for Reasoning about Discrete Biological Models -- ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-rank Representation Method for Single-cell RNA-sequencing Data Clustering -- An Efficient and User-friendly Software for PCR Primer Design for Detection of Highly Variable Bacteria -- A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes -- TDCOSR: A multimodality fusion framework for association analysis between genes and ROIs of Alzheimer’s disease -- Policy-based Hypertension Monitoring using Formal Runtime Verification Monitors -- Deep learning-enhanced MHC-II presentation prediction and peptidome deconvolution -- MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis -- Optimal sequence alignment to ED-strings -- Heterogeneous PPI network representation learning for protein complex identification -- A Clonal Evolution Simulator for Planning Somatic Evolution Studies -- Prediction of Drug-disease Relationship on Heterogeneous Networks Based on Graph Convolution -- t-SNE Highlights Phylogenetic and Temporal Patterns of SARS-CoV-2 Spike and Nucleocapsid Protein Evolution -- MPCDDI: A Secure Multiparty Computation-based Deep Learning Framework for Drug-drug Interaction Predictions -- A Multimodal Data Fusion-based Deep Learning Approach for Drug-Drug Interaction Prediction -- GNN-Dom: an unsupervised method for protein domain partition via protein contact map -- A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs -- Gaussian-enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations -- Distance Profiles of Optimal RNA Foldings -- 2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning -- EMRShareChain: A Privacy-Preserving EMR Sharing System Model Based on the Consortium Blockchain -- Simulating Spiking Neural Networks based on SW26010pro -- Entropy Based Clustering of Viral Sequences -- A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. |
| Record Nr. | UNINA-9910639891503321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational advances in bio and medical sciences : 11th international conference, ICCABS 2021, virtual event, December 16-18, 2021, revised selected papers / / edited by Mukul S. Bansal
| Computational advances in bio and medical sciences : 11th international conference, ICCABS 2021, virtual event, December 16-18, 2021, revised selected papers / / edited by Mukul S. Bansal |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (184 pages) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Bioinformatics |
| ISBN | 3-031-17531-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Computational Advances in Bio and Medical Sciences -- Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Stage I: From Structures to Groups -- 3.2 Stage II: Ranking Groups -- 3.3 Stage III: Partitioning Groups into Subgroups -- 3.4 Stage IV: Scoring Each Structure -- 3.5 Experimental Setup -- 3.6 Dataset -- 3.7 Evaluation Metrics -- 4 Results -- 4.1 Comparative Evaluation on Correlation with TM-Score -- 4.2 Loss-Based Comparison -- 4.3 Statistical Significance Analysis -- 5 Conclusion -- References -- Graph Representation Learning for Protein Conformation Sampling -- 1 Introduction -- 1.1 Related Work -- 2 Methods -- 3 Results -- 3.1 Experimental Setup -- 3.2 Evaluation of Models on Fixed-Length Chains -- 3.3 Evaluation of Models on Variable-Length Chains -- 4 Conclusion -- References -- Excerno: Filtering Mutations Caused by the Clinical Archival Process in Sequencing Data -- 1 Introduction -- 2 Excerno: A Bayes Classifier Using Mutational Signatures -- 3 Simulation and Evaluation Approach -- 4 Simulation Results -- 4.1 Performance Characteristics Across Different COSMIC Baseline Signatures -- 4.2 Performance Characteristics Across Different Percentages of FFPE -- 5 Conclusions -- References -- Relabeling Metabolic Pathway Data with Groups to Improve Prediction Outcomes -- 1 Introduction -- 2 Method -- 2.1 Feed-Forward Phase -- 2.2 Feed-Backward Phase -- 2.3 Closing the Loop -- 3 Experiments -- 3.1 Accumulated History Probability Analysis -- 3.2 Metabolic Pathway Prediction -- 4 Conclusion -- References -- MELEPS: Multiple Expert Linear Epitope Prediction System -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Collection -- 2.2 The System Flow of MELEPS.
2.3 Integrated Multi-expert Recommendation Methodology -- 2.4 The Weighted Recommendation Score -- 2.5 Performance Measurement of Recommendation -- 3 Results and Discussion -- 3.1 The Weight Parameter Table -- 3.2 Performance of MELEPS -- 3.3 The MELEPS Platform -- 4 Conclusion -- References -- Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Major Vessel Segmentation -- 2.2 Full Coronary Tree Segmentation -- 2.3 Catheter and Full Coronary Tree Segmentation -- 2.4 Other Segmentation Criteria -- 3 Model Evaluation Metrics -- 4 Loss Function -- 5 Architecture -- 5.1 Encoder Comparison -- 5.2 Decoder Comparison -- 5.3 EfficientUNet++ Architecture -- 5.4 Performance vs. Computation Trade-Off -- 6 Experimental Results -- 7 Implementation Details -- 7.1 Training Methodology -- 7.2 Dataset -- 7.3 Data Augmentation -- 8 Discussion and Future Work -- References -- Unified SAT-Solving for Hard Problems of Phylogenetic Network Construction -- 1 Introduction: Evolutionary Trees and Phylogenetic Networks -- 2 Definitions and Problem Statements -- 3 The CNF Formula for the TFP -- 3.1 Identifying, Counting and Limiting Reticulation Nodes in D -- 4 Hybridization Networks: Reticulation Networks When Input Trees Are Specified -- 5 Some Empirical Results -- 5.1 Summary of the Empirical Conclusions -- References -- Feature Selection for Identification of Risk Factors Associated with Infant Mortality -- 1 Introduction -- 2 Method -- 2.1 Study Design and Casuistic -- 2.2 Database Integration -- 2.3 Data Analysis, Cleaning and Preparation -- 2.4 Identification of Main Variables -- 2.5 Tools, Techniques and Software Used -- 3 Results -- 3.1 Data Description -- 3.2 Feature Selection -- 4 Discussion -- 5 Final Considerations -- References. Addressing Classification on Highly Imbalanced Clinical Datasets -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Method Overview -- 3.2 Avocado Dataset and Data Cleaning -- 3.3 Performance Metrics -- 4 Results -- 4.1 Techniques Comparison for Demographics Data Section -- 4.2 Classifiers and Techniques Comparison for Demographics Section -- 4.3 All Data Sections Comparisons -- 5 Conclusion -- References -- mcPBWT: Space-Efficient Multi-column PBWT Scanning Algorithm for Composite Haplotype Matching -- 1 Introduction -- 2 Preliminaries -- 2.1 PBWT Overview -- 2.2 Composite Haplotype Matching -- 3 Multi-column PBWT -- 3.1 Divergence Value Properties -- 3.2 Finding Blocks of Starting Matches -- 3.3 double-PBWT -- 3.4 double-PBWT: Comparing Block of Matches -- 3.5 triple-PBWT -- 4 Discussion -- References -- Computational Advances in Molecular Epidemiology -- Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Producing Consensus Sequences -- 3.2 Embedding Approaches -- 3.3 Clustering Algorithms -- 4 Experimental Evaluation -- 4.1 Dataset Statistics and Visualization -- 4.2 Evaluation Metrics -- 4.3 Clustering Comparison Metrics -- 5 Results and Discussion -- 5.1 Clustering Evaluation -- 5.2 Comparing Different Clusterings -- 5.3 Information Gain -- 5.4 Statistical Analysis -- 6 Conclusion -- References -- Analysis of SARS-CoV-2 Temporal Molecular Networks Using Global and Local Topological Characteristics -- 1 Introduction -- 2 Data and Methods -- 2.1 Data and Preprocessing -- 2.2 Construction of Temporal Networks -- 2.3 Global Network Analysis -- 2.4 Local Topological Analysis -- 2.5 Quantification of Nucleotide Variation -- 2.6 Spectral Network Partitioning -- 2.7 Phylogenetic Analysis -- 3 Results and Analysis. 3.1 Genetic Characterization of the Viral Population -- 3.2 Changes in Global Properties -- 3.3 Association Between RGF Distance and Genetic Variation -- 3.4 Laplacian Network Partitioning Versus Phylogenetic Analysis -- 4 Conclusions -- References -- An SVM Based Approach to Study the Racial Disparity in Triple-Negative Breast Cancer -- 1 Introduction -- 2 Data and Methods -- 2.1 Data and Prepossessing -- 2.2 Construction of SVM Based Model for Feature Selection -- 2.3 Estimation of Feature/Gene -- 2.4 Feature/Gene Validation Analysis -- 3 Results and Discussion -- 3.1 Selection of Final Features -- 3.2 Expression Status of the Features/Gene -- 3.3 Association of High Expression of KLK10 and Survival Outcome of TNBC -- 4 Conclusion -- References -- Author Index. |
| Record Nr. | UNISA-996495571303316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational advances in bio and medical sciences : 11th international conference, ICCABS 2021, virtual event, December 16-18, 2021, revised selected papers / / edited by Mukul S. Bansal
| Computational advances in bio and medical sciences : 11th international conference, ICCABS 2021, virtual event, December 16-18, 2021, revised selected papers / / edited by Mukul S. Bansal |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (184 pages) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Bioinformatics |
| ISBN | 3-031-17531-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Computational Advances in Bio and Medical Sciences -- Single Model Quality Estimation of Protein Structures via Non-negative Tensor Factorization -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Stage I: From Structures to Groups -- 3.2 Stage II: Ranking Groups -- 3.3 Stage III: Partitioning Groups into Subgroups -- 3.4 Stage IV: Scoring Each Structure -- 3.5 Experimental Setup -- 3.6 Dataset -- 3.7 Evaluation Metrics -- 4 Results -- 4.1 Comparative Evaluation on Correlation with TM-Score -- 4.2 Loss-Based Comparison -- 4.3 Statistical Significance Analysis -- 5 Conclusion -- References -- Graph Representation Learning for Protein Conformation Sampling -- 1 Introduction -- 1.1 Related Work -- 2 Methods -- 3 Results -- 3.1 Experimental Setup -- 3.2 Evaluation of Models on Fixed-Length Chains -- 3.3 Evaluation of Models on Variable-Length Chains -- 4 Conclusion -- References -- Excerno: Filtering Mutations Caused by the Clinical Archival Process in Sequencing Data -- 1 Introduction -- 2 Excerno: A Bayes Classifier Using Mutational Signatures -- 3 Simulation and Evaluation Approach -- 4 Simulation Results -- 4.1 Performance Characteristics Across Different COSMIC Baseline Signatures -- 4.2 Performance Characteristics Across Different Percentages of FFPE -- 5 Conclusions -- References -- Relabeling Metabolic Pathway Data with Groups to Improve Prediction Outcomes -- 1 Introduction -- 2 Method -- 2.1 Feed-Forward Phase -- 2.2 Feed-Backward Phase -- 2.3 Closing the Loop -- 3 Experiments -- 3.1 Accumulated History Probability Analysis -- 3.2 Metabolic Pathway Prediction -- 4 Conclusion -- References -- MELEPS: Multiple Expert Linear Epitope Prediction System -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Collection -- 2.2 The System Flow of MELEPS.
2.3 Integrated Multi-expert Recommendation Methodology -- 2.4 The Weighted Recommendation Score -- 2.5 Performance Measurement of Recommendation -- 3 Results and Discussion -- 3.1 The Weight Parameter Table -- 3.2 Performance of MELEPS -- 3.3 The MELEPS Platform -- 4 Conclusion -- References -- Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Major Vessel Segmentation -- 2.2 Full Coronary Tree Segmentation -- 2.3 Catheter and Full Coronary Tree Segmentation -- 2.4 Other Segmentation Criteria -- 3 Model Evaluation Metrics -- 4 Loss Function -- 5 Architecture -- 5.1 Encoder Comparison -- 5.2 Decoder Comparison -- 5.3 EfficientUNet++ Architecture -- 5.4 Performance vs. Computation Trade-Off -- 6 Experimental Results -- 7 Implementation Details -- 7.1 Training Methodology -- 7.2 Dataset -- 7.3 Data Augmentation -- 8 Discussion and Future Work -- References -- Unified SAT-Solving for Hard Problems of Phylogenetic Network Construction -- 1 Introduction: Evolutionary Trees and Phylogenetic Networks -- 2 Definitions and Problem Statements -- 3 The CNF Formula for the TFP -- 3.1 Identifying, Counting and Limiting Reticulation Nodes in D -- 4 Hybridization Networks: Reticulation Networks When Input Trees Are Specified -- 5 Some Empirical Results -- 5.1 Summary of the Empirical Conclusions -- References -- Feature Selection for Identification of Risk Factors Associated with Infant Mortality -- 1 Introduction -- 2 Method -- 2.1 Study Design and Casuistic -- 2.2 Database Integration -- 2.3 Data Analysis, Cleaning and Preparation -- 2.4 Identification of Main Variables -- 2.5 Tools, Techniques and Software Used -- 3 Results -- 3.1 Data Description -- 3.2 Feature Selection -- 4 Discussion -- 5 Final Considerations -- References. Addressing Classification on Highly Imbalanced Clinical Datasets -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Method Overview -- 3.2 Avocado Dataset and Data Cleaning -- 3.3 Performance Metrics -- 4 Results -- 4.1 Techniques Comparison for Demographics Data Section -- 4.2 Classifiers and Techniques Comparison for Demographics Section -- 4.3 All Data Sections Comparisons -- 5 Conclusion -- References -- mcPBWT: Space-Efficient Multi-column PBWT Scanning Algorithm for Composite Haplotype Matching -- 1 Introduction -- 2 Preliminaries -- 2.1 PBWT Overview -- 2.2 Composite Haplotype Matching -- 3 Multi-column PBWT -- 3.1 Divergence Value Properties -- 3.2 Finding Blocks of Starting Matches -- 3.3 double-PBWT -- 3.4 double-PBWT: Comparing Block of Matches -- 3.5 triple-PBWT -- 4 Discussion -- References -- Computational Advances in Molecular Epidemiology -- Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Producing Consensus Sequences -- 3.2 Embedding Approaches -- 3.3 Clustering Algorithms -- 4 Experimental Evaluation -- 4.1 Dataset Statistics and Visualization -- 4.2 Evaluation Metrics -- 4.3 Clustering Comparison Metrics -- 5 Results and Discussion -- 5.1 Clustering Evaluation -- 5.2 Comparing Different Clusterings -- 5.3 Information Gain -- 5.4 Statistical Analysis -- 6 Conclusion -- References -- Analysis of SARS-CoV-2 Temporal Molecular Networks Using Global and Local Topological Characteristics -- 1 Introduction -- 2 Data and Methods -- 2.1 Data and Preprocessing -- 2.2 Construction of Temporal Networks -- 2.3 Global Network Analysis -- 2.4 Local Topological Analysis -- 2.5 Quantification of Nucleotide Variation -- 2.6 Spectral Network Partitioning -- 2.7 Phylogenetic Analysis -- 3 Results and Analysis. 3.1 Genetic Characterization of the Viral Population -- 3.2 Changes in Global Properties -- 3.3 Association Between RGF Distance and Genetic Variation -- 3.4 Laplacian Network Partitioning Versus Phylogenetic Analysis -- 4 Conclusions -- References -- An SVM Based Approach to Study the Racial Disparity in Triple-Negative Breast Cancer -- 1 Introduction -- 2 Data and Methods -- 2.1 Data and Prepossessing -- 2.2 Construction of SVM Based Model for Feature Selection -- 2.3 Estimation of Feature/Gene -- 2.4 Feature/Gene Validation Analysis -- 3 Results and Discussion -- 3.1 Selection of Final Features -- 3.2 Expression Status of the Features/Gene -- 3.3 Association of High Expression of KLK10 and Survival Outcome of TNBC -- 4 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910619277503321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||