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Accelerator Physics (4th Edition) / / S Y Lee
| Accelerator Physics (4th Edition) / / S Y Lee |
| Autore | Lee S Y |
| Edizione | [Fourth edition.] |
| Pubbl/distr/stampa | Singapore : , : World Scientific Publishing Co, , 2018 |
| Descrizione fisica | 1 online resource (570 pages) |
| Disciplina | 539.73 |
| Soggetto topico |
Particle accelerators
Particle accelerators - Design and construction |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Accelerator Physics |
| Record Nr. | UNINA-9910688208603321 |
Lee S Y
|
||
| Singapore : , : World Scientific Publishing Co, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Accelerator Physics (4th Edition)
| Accelerator Physics (4th Edition) |
| Pubbl/distr/stampa | World Scientific Publishing Co |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Accelerator Physics |
| Record Nr. | UNINA-9910557393903321 |
| World Scientific Publishing Co | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agriculture & Food Systems To 2050
| Agriculture & Food Systems To 2050 |
| Autore | Serraj Rachid |
| Pubbl/distr/stampa | World Scientific Publishing Co, 2018 |
| Descrizione fisica | 1 online resource (678 pages) |
| Disciplina | 333.76/16 |
| Altri autori (Persone) | PingaliPrabhu L. <1955-> |
| Collana | World Scientific Series In Grand Public Policy Challenges Of The 21st Century |
| Soggetto non controllato |
Policy
Global Trends Climate Change Nutrition Technology Agri-Food System Agriculture UN 2030 Agenda for Sustainable Development Foresight |
| ISBN |
981-327-835-8
981-327-834-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Foreword -- About the Editors -- List of Contributors -- Part I - Agriculture and Food Systems: Looking towards 2030/2050 -- Chapter 1 - Agriculture and Food Systems to 2050: A Synthesis -- 1.1 Introduction -- 1.2 Urbanization, Demographic Transitions, and the Transformation of Smallholder Farming -- 1.3 Climate Change and Agri-Food Systems -- 1.4 Food Systems for Better Nutrition and Health -- 1.5 Sustainable and Resilient Farming Systems -- 1.6 New Science and Technology for Managing Systemic Complexity and Trade-offs -- 1.7 Conclusions -- References -- Chapter 2 - Global Drivers and Megatrends in Agri-Food Systems -- 2.1 Introduction -- 2.2 Approaches to Foresight -- 2.3 A Brief Overview of Recent Foresight Studies on Food Security and Agri-Food Systems -- 2.3.1 Methodological approach -- 2.3.2 Food, human nutrition, and diets -- 2.3.3 Agro-environmental futures -- 2.3.4 Technology and innovation for sustainable food systems -- 2.3.5 Gaining insights into food system analyses through combined quantitative modeling and qualitative approaches -- 2.3.6 Advantages of participatory techniques -- 2.3.7 Adaptation pathways -- 2.4 Relevant Drivers in Agri-Food System Analyses -- 2.5 Megatrends and Less-Explored Areas in Food System Analyses -- 2.5.1 Fourteen megatrends identified through the Megatrends Hub -- 2.5.2 Underexplored trends in recent foresight work -- 2.6 Conclusions -- References -- Part II - Food System Threats and Challenges -- Chapter 3 - Migration, Demography, and Agri-Food Systems -- 3.1 Introduction -- 3.2 Traditional Pathways and Emerging Trends -- 3.3 Demographic Trends: Rural and Youth Population Projections -- 3.4 Rural-Urban Migration Trends -- 3.4.1 Data gaps and challenges -- 3.4.2 Methodology -- 3.4.2.1 Projections of migration rates -- 3.4.2.2 Youth migration rates.
3.4.2.3 Aggregation of migration rates -- 3.4.2.4 Methodological assumptions and their implications -- 3.4.3 Projections of rural-urban migration rates -- 3.4.3.1 Global view -- 3.4.3.2 Rural-urban migration by gender -- 3.4.3.3 Trends in agri-food systems and rural-urban migration -- 3.5 Climate Change, Migration, and Demography -- 3.6 Seasonal Migration: A Nascent Literature -- 3.7 Conclusions -- Appendix A: Country Groupings -- Appendix B: Methodology for Projections of Rural-Urban (Youth) Migration: Survival Ratio Method -- B.1 Total Population -- B.2 Youth Migration -- References -- Chapter 4 - Urbanization, Agriculture, and Smallholder Farming -- 4.1 Introduction -- 4.2 A Changing Context for Agriculture -- 4.2.1 Increasing urbanization -- 4.2.2 Changing food value chains -- 4.2.3 Growing international trade -- 4.2.4 Changes in the distribution of land -- 4.3 The Future of Small Farms -- 4.3.1 A "reverse" transition -- 4.3.2 Prognosis -- 4.3.3 Diverging livelihood pathways -- 4.4 Implications for Small Farm Policies and Agricultural Research -- 4.4.1 Implications for assisting small farms -- 4.4.2 Implications for agricultural research -- 4.5 Conclusions -- References -- Chapter 5 - Climate Change Impacts on Agriculture -- 5.1 Introduction -- 5.2 Agro-climatic Trends and System Responses -- 5.2.1 Observed changes to agricultural climates -- 5.2.2 Direct climate impacts on agricultural systems -- 5.2.3 Indirect mechanisms for agro-climatological impacts -- 5.2.4 Agricultural system influences on the climate system -- 5.3 Projected Climate Changes for Agricultural Regions -- 5.4 Ramifications of Climate Change on the Agricultural Sector -- 5.5 Agricultural Modeling for Climate Vulnerability Foresight -- References -- Chapter 6 - Environment and Natural Resources -- 6.1 Introduction -- 6.2 Freshwater -- 6.3 Land -- 6.4 Phosphorus. 6.5 Marine Resources -- 6.6 Ecosystems -- 6.7 Availability of Natural Resources: Scenarios -- 6.8 Broader Context -- 6.9 Conclusion -- References -- Chapter 7 - Food Systems, Diets, and Nutrition -- 7.1 The World's Many Nutrition Challenges -- 7.2 India as a Case Study -- 7.3 Pathways from Agriculture to Diets and Nutrition -- 7.3.1 Agricultural diversification -- 7.3.2 Irrigation and water availability -- 7.3.3 Water quality -- 7.3.4 Women's labor use in agriculture -- 7.3.5 Exposure to zoonotic diseases -- 7.3.6 Food safety -- 7.4 Challenges and Opportunities Ahead -- References -- Part III - Technological Innovation and Disruptive Futures -- Chapter 8 - Innovation in Breeding and Biotechnology -- 8.1 Introduction -- 8.2 Background to Genetic Improvement -- 8.3 Sources of Future Genetic Gains -- 8.3.1 Enhancing the efficiency of current breeding technologies -- 8.3.1.1 Expanding the germplasm pool -- 8.3.1.2 Recombination -- 8.3.1.3 Population size -- 8.3.1.4 Heritability -- 8.3.1.5 Breeding cycle -- 8.3.2 Generating major changes in breeding methodologies -- 8.3.2.1 Enhancing photosynthesis -- 8.3.2.2 Transferring nitrogen fixation to non-legume crops -- 8.3.2.3 Hybrid breeding and apomixis -- 8.4 Technology Adoption -- 8.4.1 The production system -- 8.4.2 Technology transfer between species and crops -- 8.4.3 Regulation and acceptance by consumers/governments -- 8.5 Biotechnology in the Improvement of Farm Animals -- 8.5.1 Transgenic animals -- 8.5.2 Genome editing -- 8.5.3 Reproductive technologies -- 8.5.4 Human nutrition, pharmaceutical, and biomedical applications -- 8.5.5 Fish and other seafood -- 8.6 Where to Next? -- 8.7 Conclusions -- References -- Chapter 9 - Advancing to the Next Generation of Precision Agriculture -- 9.1 Introduction -- 9.2 Technological Advances -- 9.3 Worldwide Precision Agriculture. 9.4 Applications of Technology to Seasonal Monitoring -- 9.4.1 Case study: Spray application technology for precision agriculture -- 9.4.2 Case study: Variable-rate application -- 9.5 Remote Sensing for Precision Agriculture -- 9.5.1 Aerial multispectral imaging for assessing crop injury from off-target drift of aerially applied glyphosate -- 9.5.2 Case study: Build DSM to estimate plant height -- 9.5.3 Field observation scale optimization and multisource data fusion and assimilation -- 9.6 Precision Agriculture Systems for a -- 9.6.1 Remote-sensing models for precision agriculture-based statistics -- 9.6.2 Spatially specific agricultural statistics (yield, production, area) -- 9.7 Precision Agriculture for Smallholders and Developing Countries -- 9.8 Precision Agriculture in the Next 10 Years -- References -- Chapter 10 - Disruptive Futures: Prospects for Breakthrough Technologies -- 10.1 Introduction -- 10.2 Technology Trends -- 10.2.1 Bioinformatics -- 10.2.2 Smart farming -- 10.2.3 Genetics -- 10.2.4 Synthetic biology -- 10.2.5 Protein transition -- 10.2.6 Food design -- 10.2.7 Aquaculture -- 10.2.8 Vertical agriculture -- 10.2.9 Conservation technology -- 10.3 The Grand Societal Challenges -- 10.4 When Agri-Food Technology Meets the Grand Societal Challenges -- 10.4.1 Health, demographic change, and well-being -- 10.4.2 Secure, clean, and efficient energy -- 10.4.3 Smart, green, and integrated transport -- 10.4.4 Climate action, environment, resource efficiency, and raw materials -- 10.4.5 Europe in a changing world-Inclusive, innovative, and reflective societies -- 10.4.6 Secure societies-Protecting freedom and security of Europe and its citizens -- 10.5 Agri-Food Technology and Future Scenarios -- 10.5.1 Economic optimism -- 10.5.2 Reformed markets -- 10.5.3 Global sustainable development -- 10.5.4 Regional competition. 10.5.5 Regional sustainable development -- 10.6 Concluding Remarks -- 10.6.1 Potential breakthrough technologies in light of the Grand Societal Challenges -- 10.6.2 Potential breakthrough technologies in the light of future scenarios -- 10.6.3 Insights and recommendations for further research -- References -- Chapter 11 - Investor Perspectives on Future Priorities -- Overview -- 11.1 Current State of Capital Flows to African Agriculture -- 11.1.1 The investment ladder for SME agribusinesses -- 11.1.2 Incubators and accelerators -- 11.1.3 Commercial banks -- 11.1.4 Impact investors -- 11.1.5 The missing middle in the investment ladder -- 11.2 Future Priorities for Commercial Investors -- 11.2.1 Constraints to investment -- 11.2.1.1 Lack of infrastructure -- 11.2.1.2 Deficiencies in the broader value chain -- 11.2.1.3 Limited deal flow -- 11.2.1.4 Position on the cost curve -- 11.2.1.5 Insufficient supply of talent for managing large-scale agricultural operations -- 11.2.1.6 High environment, social, and governance (ESG) risk -- 11.2.2 Lessons from the past -- 11.2.2.1 Analysis of CDC's agriculture investments in Africa (1948-1998) -- 11.2.3 Current trends and opportunities for the future -- 11.2.3.1 Choice of country -- 11.2.3.2 Distribution of new agribusiness investments in Africa by segment -- 11.2.3.3 Choice of commodity -- 11.3 Creating Shared Value in African Agriculture -- 11.3.1 Development thesis of impact investors -- 11.3.1.1 Agricultural development -- 11.3.1.2 Rural job creation -- 11.3.1.3 Development of the agri-food sector -- 11.3.2 Key agricultural development models -- 11.3.3 Value-chain clusters and creating shared value -- 11.3.3.1 Fostering clusters and enhancing entire value chains -- 11.3.3.2 Creating shared value (CSV) through reconnecting business and society -- 11.3.3.3 Responding to growing resource constraints. 11.3.3.4 Responding to consumer demands. |
| Altri titoli varianti |
Agriculture & Food Systems To 2050
Agriculture & Food Systems to 2050:Global Trends, Challenges and Opportunities World Scientific Series In Grand Public Policy Challenges Of The 21st Century vol. 2 |
| Record Nr. | UNINA-9910349464903321 |
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Serraj Rachid
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||
| World Scientific Publishing Co, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biocomputing 2010 - Proceedings of the Pacific Symposium
| Biocomputing 2010 - Proceedings of the Pacific Symposium |
| Autore | Russ B Altman |
| Pubbl/distr/stampa | World Scientific Publishing Co, 2009 |
| Descrizione fisica | viii, 487 p. : ill. (some col.) |
| Disciplina | 572.8 |
| Altri autori (Persone) |
AltmanRuss
DunkerA. Keith <1943-> (Alan Keith) HunterLawrence <1961-> |
| Soggetto topico |
Bioinformatics
Genomics |
| Soggetto non controllato |
Protein Interactions
Metabolomics Biocomputing Computational Genetics Ontology Computational Proteomics Bioinformatics |
| ISBN |
1-282-76350-4
9786612763502 981-4295-29-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational challenges in comparative genomics. Session introduction / Bernard Moret ... [et al.]. Accurate taxonomic assignment of short pyrosequencing reads / José C. Clemente , Jesper Jansson, Gabriel Valiente. Benchmarking BLAST accuracy of genus/phyla classification of metagenomic reads / Steven D. Essinger, Gail L. Rosen. Guided genome halving : provably optimal solutions provide good insights into the preduplication ancestral genome of Saccharomyces cerevisiae / Haris Gavranovic, Eric Tannier. A practical algorithm for estimation of the maximum likelihood ancestral reconstruction error / Glenn Hickey, Mathieu Blanchette. Optimization methods for selecting founder populations for captive breeding of endangered species / Webb Miller ... [et al.] -- Computational studies of non-coding RNAs. Session introduction / Rolf Backofen ... [et al.]. RNA structural segmentation / Ivan Dotu ... [et al.]. RNAz 2.0 : improved noncoding RNA detection / Andreas R. Gruber ... [et al.]. Identification and classification of small RNAs in transcriptome sequence data / D. Langenberger ... [et al.]. Improvement of structure conservation index with centroid estimators / Yohei Okada, Kengo Sato, Yasubumi Sakakibara. Dynamic programming algorithms for RNA structure prediction with binding sites / Unyanee Poolsap, Yuki Kato, Tatsuya Akutsu. An algorithm for the energy barrier problem without pseudoknots and temporary arcs / Chris Thachuk ... [et al.] -- Dynamics of biological networks. Session introduction / Tanya Y. Berger-Wolf ... [et al.]. Local optimization for global alignment of protein interaction networks / Leonid Chindelevitch, Chung-Shou Liao, Bonnie Berger. Identification of coordinately dysregulated subnetworks in complex phenotypes / Salim A. Chowdhury, Mehmet Koyuturk. Subspace differential coexpression analysis : problem definition and a general approach / Gang Fang ... [et al.]. Estimation of protein and domain interactions in the switching motility system of Myxococcus xanthus ... [et al.]. Exploring biological network dynamics with ensembles of graph partitions / Saket Navlakha, Carl Kingsford. Geometric evolutionary dynamics of protein interaction networks / Natasa Przulj ... [et al.]. The steady states and dynamics of Urokinase-mediated plasmin activation / Lakshmi Venkatraman ... [et al.] -- Multi-resolution modeling of biological macromolecules. Session introduction / Samuel Flores ... [et al.]. Multi-resolution approach for interactively locating functionally linked ion binding sites by steering small molecules into electrostatic potential maps using a haptic device / Olivier Delalande ... [et al.]. Predicting RNA structure by multiple template homology modeling / Samuel C. Flores ... [et al.]. Constructing multi-resolution Markov State Models (MSMs) to elucidate RNA hairpin folding mechanisms / Xuhui Huang ... [et al.]. Multiscale dynamics of macromolecules using normal mode langevin / Jesus A. Izaguirre, Christopher R. Sweet, Vijay S. Pande. Insights into the intra-ring subunit order of TriC/CCT : structural and evolutionary analysis / Nir Kalisman, Michael Levitt. "Cross-graining :" Efficient multi-scale simulation via Markov state models / Peter Kasson, Vijay Pande. Toward understanding allosteric signaling mechanisms in the ATPase domain of molecular chaperones / Ying Liu, Ivet Bahar. 3D-blast : 3D protein structure alignment, comparison, and classification using spherical polar Fourier correlations / Lazaros Mavridis. David W. Ritchie. Structural prediction of protein-RNA interaction by computational docking with propensity-based statistical potentials / Laura Pérez-Cano ... [et al.] -- Personal genomics. Session introduction / Can Alkan ... [et al.]. Improving the prediction of pharmacogenes using text-derived gene-drug relationships / Yael Garten, Nicholas P. Tatonetti, Russ B. Altman. Finding unique filter sets in PLATO : a precursor to efficient interaction analysis in GWAS data / Benjamin J. Grady ... [et al.]. Enabling personal genomics with an explicit test of epistasis / Casey S. Greene ... [et al.]. Loss of post-translational modification sites in disease / Shuyan Li ... [et al.]. Detecting genome-wide haplotype polymorphism by combined use of mendelian constraints and local population structure / Xin Li, Yixuan Chen, Jing Li. Sequence Feature Variant Type (SFVT) analysis of the HLA genetic association in juvenile idiopathic arthritis / Glenys Thomson ... [et al.]. Cokgen : a software for the identification of rare copy number variation from SNP microarrays / Gökhan Yavas ... [et al.] -- Reverse engineering and synthesis of biomolecular systems. Session introduction / Gil Alterovitz ... [et al.]. Co-design in synthetic biology : a system-level analysis of the development of an environmental sensing device / David A. Ball ... [et al.]. Critical analysis of transcriptional and post-transcriptional regulatory networks in multiple myeloma / Marta Biasiolo ... [et al.]. A computational model of gene expression in an inducible synthetic circuit / Francesca Ceroni, Simone Furini, Silvio Cavalcanti. Retrovirus HTLV-1 gene circuit : a potential oscillator for eukaryotes / Alberto Corradin ... [et al.]. Emulsion based selection of T7 promoters of varying activity / Eric A. Davidson ... [et al.]. Clustering context-specific gene regulatory networks / Archana Ramesh ... [et al.]. Writing and compiling code into biochemistry / Adam Shea ... [et al.]. Synthesis of pharmacokinetic pathways through knowledge acquisition and automated reasoning / Luis Tari ... [et al.] -- Workshops. In silico biology / Richard Goldstein ... [et al.]. Genomic standards consortium workshop : Metagenomics, Metadata and Metaanalysis (M3) / Peter Sterk ... [et al.]. Extraction of genotype-phenotype-drug relationships from text : from entity recognition to bioinformatics application / Adrien Coulet ... [et al.]. |
| Record Nr. | UNINA-9910346696203321 |
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Russ B Altman
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| World Scientific Publishing Co, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biocomputing 2018 - Proceedings Of The Pacific Symposium
| Biocomputing 2018 - Proceedings Of The Pacific Symposium |
| Autore | Altman Russ B |
| Pubbl/distr/stampa | World Scientific Publishing Co, 2017 |
| Descrizione fisica | 1 online resource (649 pages) |
| Altri autori (Persone) |
DunkerA. Keith <1943-> (Alan Keith)
HunterLawrence <1961-> RitchieMarylyn D MurrayTiffany A KleinTeri E |
| Soggetto non controllato |
Protein Interactions
Metabolomics Biocomputing Computational Genetics Ontology Computational Proteomics Bioinformatics |
| ISBN | 981-323-553-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Biocomputing 2018 |
| Record Nr. | UNINA-9910346695003321 |
|
Altman Russ B
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||
| World Scientific Publishing Co, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biocomputing 2019 - Proceedings Of The Pacific Symposium
| Biocomputing 2019 - Proceedings Of The Pacific Symposium |
| Autore | Altman Russ B |
| Pubbl/distr/stampa | World Scientific Publishing Co, 2018 |
| Descrizione fisica | 1 online resource (471 pages) |
| Altri autori (Persone) |
DunkerA. Keith <1943-> (Alan Keith)
HunterLawrence <1961-> RitchieMarylyn D MurrayTiffany A KleinTeri E |
| Soggetto non controllato |
Protein Interactions
Metabolomics Biocomputing Computational Genetics Ontology Computational Proteomics Bioinformatics |
| ISBN |
981-327-982-6
981-327-981-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- PATTERN RECOGNITION IN BIOMEDICAL DATA: CHALLENGES IN PUTTING BIG DATA TO WORK -- Session introduction -- Introduction -- References -- Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes -- 1. Introduction -- 2. Methods -- 2.1. Source Code -- 2.2. Data Source -- 2.3. Data Selection and Preprocessing -- 2.3.1. Reference ICD9 Example -- 2.3.2. Real Member Analyses -- 2.4. Poincaré Embeddings -- 2.5. Processing and Evaluating Embeddings -- 3. Results -- 3.1. ICD9 Hierarchy Evaluation -- 3.2. Poincaré Embeddings on 10 Million Members -- 3.3. Comparison with Euclidean Embeddings -- 3.4. Cohort Specific Embeddings -- 4. Discussion and Conclusion -- 5. Acknowledgments -- References -- The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data -- 1. Introduction -- 2. Background -- 2.1. Multitask nets -- 3. Methods -- 3.1. Dataset Construction and Design -- 3.2. Experimental Design -- 4. Experiments and Results -- 4.1. When Does Multitask Learning Improve Performance? -- 4.2. Relationship Between Performance and Number of Tasks -- 4.3. Comparison with Logistic Regression Baseline -- 4.4. Interaction between Phenotype Prevalence and Complexity -- 5. Limitations -- 6. Conclusion -- Acknowledgments -- References -- ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites -- 1. Introduction -- 1.1. Integrate evidence from multiple clinical sites -- 1.2. Distributed Computing -- 2. Material and Method -- 2.1. Clinical Cohort and Motivating Problem -- 2.2. Algorithm -- 2.3. Simulation Design -- 3. Results -- 3.1. Simulation Results -- 3.2. Fetal Loss Prediction via ODAL -- 4. Discussion -- References.
PVC Detection Using a Convolutional Autoencoder and Random Forest Classifier -- 1. Introduction -- 2. Methods -- 2.1. Data Set and Implementation -- 2.2. Proposed PVC Detection Method -- 2.2.1. Feature Extraction -- 2.2.2. Classification -- 3. Results -- 3.1. Full Database Evaluation -- 3.2. Timing Disturbance Evaluation -- 3.3. Cross-Patient Training Evaluation -- 3.4. Estimated Parameters and Convergence -- 4. Discussion -- References -- Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications -- 1. Introduction -- 2. Related Work -- 3. Confounder Filtering (CF) Method -- 3.1. Overview -- 3.2. Method -- 3.3. Availability -- 4. Experiments -- 4.1. lung adenocarcinoma prediction -- 4.1.1. Data -- 4.1.2. Results -- 4.2. Segmentation on right ventricle(RV) of Heart -- 4.2.1. Data -- 4.2.2. Results -- 4.3. Students' confusion status prediction -- 4.3.1. Data -- 4.3.2. Results -- 4.4. Brain tumor prediction -- 4.4.1. Data -- 4.4.2. Results -- 4.5. Analyses of the method behaviors -- 5. Conclusion -- 6. Acknowledgement -- References -- DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM -- 1. Introduction -- 2. METHODS -- 2.1 Data Set Preparation -- 2.2 Input Encoding -- 2.3 Model Architecture -- 2.4 Evaluation criteria -- 3. RESULTS AND DISCUSSION -- 3.1 Parameter configuration experiments on test data -- 3.2 Comparison with Other Domain Boundary Predictors -- 3.2.1 Free modeling targets from CASP 9 -- 3.2.2 Multi-domain targets from CASP 9 -- 3.2.3 Discontinuous domain target from CASP 8 -- 4. CONCLUSION -- 5. ACKNOWLEDGEMENTS -- REFERENCES -- Res2s2aM: Deep residual network-based model for identifying functional noncoding SNPs in trait-associated regions -- 1. Introduction -- 2. Background theory. 3. Dataset for training and testing -- 3.1. Source databases -- 3.2. Dataset generation -- 4. Methods -- 4.1. ResNet architecture in our model -- 4.2. Tandem inputs of forward- and reverse-strand sequences -- 4.3. Biallelic high-level network structure -- 4.4. Incorporating HaploReg SNP annotation features -- 4.5. Training of models -- 5. Results -- 6. Conclusions and discussion -- Acknowledgements -- References -- DNA Steganalysis Using Deep Recurrent Neural Networks -- 1. Introduction -- 2. Background -- 2.1. Notations -- 2.2. Hiding Messages -- 2.3. Determination of Message-Hiding Regions -- 3. Methods -- 3.1. Proposed DNA Steganalysis Principle -- 3.2. Proposed Steganalysis RNN Model -- 4. Results -- 4.1. Dataset -- 4.2. Input Representation -- 4.3. Model Training -- 4.4. Evaluation Procedure -- 4.5. Performance Comparison -- 5. Discussion -- Acknowledgments -- References -- Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature -- 1. Introduction -- 2. Related Work -- 3. Methods -- 3.1. Toponym Detection -- 3.1.1. Recurrent Neural Networks -- 3.1.2. LSTM -- 3.1.3. Other Gated RNN Architectures -- 3.1.4. Hyperparameter search and optimization -- 3.2. Toponym Disambiguation -- 3.2.1. Building Geonames Index -- 3.2.2. Searching Geonames Index -- 4. Results and Discussion -- 4.1. Toponym Disambiguation -- 4.2. Toponym Resolution -- 5. Limitations and Future Work -- 6. Conclusion -- Acknowledgments -- Funding -- References -- Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning -- 1. Introduction -- 2. Related Work -- 3. Method -- 3.1. Model Framework -- 3.2. Deep Reinforcement Learning for Organizing Actions -- 3.3. Preprocessing and Name Entity Recognition with UMLS -- 3.4. Bidirectional LSTM for Relation Classification. 3.5. Algorithm -- 3.6. Implementation Specification -- 4. Experiments -- 4.1. Data -- 4.2. Evaluation -- 4.3. Results -- 4.3.1. Improved Reliability -- 4.3.2. Robustness in Real-world Situations -- 4.3.3. Number of Articles Read -- 5. Conclusions and Future Work -- 6. Acknowledgement -- References -- Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies -- 1. Introduction -- 2. Methods -- 2.1. Performance measures: definitions and estimation -- 2.2. Positive-unlabeled setting -- 2.3. Performance measure correction -- 3. Experiments and Results -- 3.1. A case study -- 3.2. Data sets -- 3.3. Experimental protocols -- 3.4. Results -- 4. Conclusions -- Acknowledgements -- References -- PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction -- 1. Introduction -- 2. System and methods -- 2.1. Data -- 2.2. Single views and co-training -- 2.3. Maximizing agreement across views through label assignment -- 3. Results -- 3.1. Preliminary experiments to optimize PLATYPUS performance -- 3.2. Predicting drug sensitivity in cell lines -- 3.3. Key features from PLATYPUS models -- 4. Conclusions -- Acknowledgments -- References -- Computational KIR copy number discovery reveals interaction between inhibitory receptor burden and survival -- 1. Introduction -- 2. Materials and Methods -- 2.1 Data collection -- 2.2 K-mer selection -- 2.3 NGS pipeline and k-mer extraction -- 2.4 Data cleaning -- 2.5 Normalization of k-mer frequencies -- 2.6 Copy number segregation and cutoff selection -- 2.7 Validation of copy number -- 2.8 Survival analysis -- 2.9 Additional immune analysis -- 3. Results and Discussions -- 3.1 Establishing unique k-mers -- 3.2 Varying coverage of KIR region by exome capture kit -- 3.3 Inference of KIR copy number -- 3.4 Population variation of the KIR region. 3.5 KIR inhibitory gene burden correlates with survival in cervical and uterine cancer -- 5. Conclusions -- 6. Acknowledgements -- 7. Supplementary Material -- References -- Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier -- 1. Introduction -- 2. Data -- 2.1. Preprocessing -- 3. Deep Cancer Classifier -- 3.1. Training & -- testing -- 3.2. Parameter tuning -- 3.3. Feature importance -- 4. Results and Discussion -- 4.1. Model selection -- 4.2. Classifier performance -- 4.3. Comparison with other methods -- 4.4. Feature importance -- 5. Conclusion -- References -- Implementing and Evaluating A Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data -- 1. Introduction -- 1.1. TnSeq Motivation and Background -- 1.2. Motivation and New Methods -- 2. Methods -- 2.1. TnSeq Experimental Data -- 2.2. Mixture framework -- 2.3. Classification methods -- 2.3.1. Novel method - EM -- 2.3.2. Current method - t-statistic -- 2.3.3. Bayesian hierarchical model -- 2.3.4. Data partitioning for the Bayesian model -- 2.4. Simulation -- 2.5. Real data -- 3. Results -- 3.1.1. Classification rate -- 3.1.2. False positive rate -- 3.1.3. Positive classification rate -- 3.1.4. Cross entropy -- 3.2. Simulation Results -- 3.3. Comparisons on real data -- 3.4. Software -- 4. Discussion -- References -- SNPs2ChIP: Latent Factors of ChIP-seq to infer functions of non-coding SNPs -- 1. Introduction -- 2. Results -- 2.1. SNPs2ChIP analysis framework overview -- 2.2. Batch normalization of heterogeneous epigenetic features -- 2.3. Latent factor discovery and their biological characterization -- 2.4. SNPs2ChIP identifies relevant functions of the non-coding genome -- 2.4.1. Genome-wide SNPs coverage of the reference datasets -- 2.4.2. Non-coding GWAS SNPs of systemic lupus erythematosus -- 2.4.3. ChIP-seq peaks for vitamin D receptors. 2.5. Robustness Analysis in the latent factor identification. |
| Altri titoli varianti |
Biocomputing 2019
Biocomputing 2019:Proceedings of the Pacific Symposium:Pacific Symposium on Biocomputing 2019 |
| Record Nr. | UNINA-9910349464803321 |
|
Altman Russ B
|
||
| World Scientific Publishing Co, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biocomputing 2021 - Proceedings Of The Pacific Symposium
| Biocomputing 2021 - Proceedings Of The Pacific Symposium |
| Autore | Altman Russ B |
| Pubbl/distr/stampa | World Scientific Publishing Co, 2020 |
| Descrizione fisica | 1 online resource (372 pages) |
| Altri autori (Persone) |
DunkerA. Keith <1943-> (Alan Keith)
HunterLawrence <1961-> RitchieMarylyn D MurrayTiffany A KleinTeri E |
| Soggetto non controllato |
Protein Interactions
Metabolomics Biocomputing Computational Genetics Ontology Computational Proteomics Bioinformatics |
| ISBN | 981-12-3270-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Preface -- ACHIEVING TRUSTWORTHY BIOMEDICAL DATA -- Session Introduction: Achieving Trustworthy Biomedical Data Solutions -- 1. Introduction -- 2. Preserving Privacy and Explaining Decisions of Artificial Intelligence -- 3. Sharing Genomic and Health Records -- 4. Deploying Digital Health Solutions -- 5. Crowdsourcing Healthcare -- 6. Considering the Bioethics -- 7. Anticipating the Future -- References -- Selection of Trustworthy Crowd Workers for Telemedical Diagnosis of Pediatric Autism Spectrum Disorder -- 1. Introduction -- 2. Methods -- 2.1. Clinically representative videos -- 2.2. Crowdsourcing task for Microworkers -- 2.3. Classifier to evaluate performance -- 2.4. Metrics evaluated -- 2.5. Prediction of crowd worker performance from metrics -- 3. Results -- 3.1. Correlation between metrics and probability of the correct class -- 3.2. Regression prediction of the mean probability of the correct class -- 4. Discussion and Future Work -- 5. Conclusion -- 6. Acknowledgments -- References -- Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data -- 1. Introduction -- 2. Related Work -- 3. Methods -- 3.1. Membership inference attack (MIA) -- 3.2. Di erential privacy (DP) -- 4. Experimental Setup -- 4.1. Dataset -- 4.2. Implementation of target models -- 4.3. Implementation of DP -- 4.4. Implementation of MIA -- 4.5. Evaluation metrics -- 5. Results -- 5.1. Vulnerability of target model against MIA without DP protection -- 5.2. Impact of privacy budget on the target model accuracy -- 5.3. E ectiveness of DP against MIA -- 5.4. E ect of model sparsity -- 6. Conclusion -- References -- Making Compassionate Use More Useful: Using Real-World Data, Real-World Evidence and Digital Twins to Supplement or Supplant Randomized Controlled Trials -- 1. Introduction.
1.1 Compassionate use -- 1.2 Compassionate use during the pandemic -- 1.3 What is an RCT? -- 1.3 EA data and NDAs -- 2. Real-World Information -- 2.1 Real-world data in trials -- 2.2 Real-world data and real-world evidence -- 2.2 Real-world limitations -- 3.0 Making RWD Work -- 3.1 Digital twins -- 4.0 Conclusions -- References -- ADVANCED METHODS FOR BIG DATA ANALYTICS IN WOMEN'S HEALTH -- Session Introduction: Advanced Methods for Big Data Analytics in Women's Health -- 1. Introduction -- 2. Session Summary -- 2.1. Full-length papers -- 3. Discussion -- References -- Intimate Partner Violence and Injury Prediction from Radiology Reports -- 1. Introduction -- 2. Related Work -- 2.1. Intimate partner violence -- 2.2. Clinical prediction -- 2.3. Natural language processing -- 3. Dataset -- 3.1. IPV patient selection -- 3.2. Control group selection -- 3.3. Injury labels -- 3.4. Data cleaning -- 3.5. Demographic data -- 4. Methodology -- 4.1. Experiment setup -- 4.2. Models -- 4.3. Evaluation -- 4.3.1. Prediction and predictive features -- 4.3.2. Error analysis -- 4.3.3. Report-program date gap -- 5. Results -- 5.1. IPV and injury prediction and predictive features -- 5.2. Error analysis -- 5.3. Report-program date gap -- 6. Discussion and conclusion -- References -- Not All C-sections Are the Same: Investigating Emergency vs. Elective C-section deliveries as an Adverse Pregnancy Outcome -- 1. Background and Significance -- 2. Methods -- 2.1. Dataset characteristics -- 2.2. Identification of delivery outcomes -- 2.2.1. Cesarean section deliveries -- 2.2.2. Preterm birth, stillbirth, and multiple birth deliveries -- 2.3. Integration of data from encounter records -- 2.4. Generalized regression models -- 3. Results -- 3.1. Utilization of cesarean section codes -- 3.2. Admission types recorded in encounter records. 3.3. Age distribution by delivery admit type -- 3.4. Number of deliveries by weekday and admit type -- 4. Generalized regression model -- 4.1. Surgical Incision Type for C-section and Effect on Emergency Admission -- 5. Discussion -- References -- Co-occurrence Patterns of Intimate Partner Violence -- 1. Introduction -- 2. Materials and Methods -- 2.1. Description of Data and Pre-Processing -- 2.2. Co-Occurrence of Violence Types -- 2.3. Co-Occurrence Network of Individual Violence Items -- 2.4. Radial Visualization -- 2.5. Clustering of Survivors and Identification of Subgroups -- 2.6. Health Problems and Trauma Symptoms -- 3. Results -- 4. Discussion -- 5. Acknowledgments -- References -- BIOCOMPUTING AND AI FOR INFECTIOUS DISEASE MODELLING AND THERAPEUTICS -- Session Introduction: AI for Infectious Disease Modelling and Therapeutics -- 1. Background -- 2. Introduction -- 3. Social Media and COVID-19 -- 4. Biomedical literature and COVID-19 plus neglected tropical diseases -- 5. Genomics and HCV -- 6. Protein intrinsically disordered regions and SARS-CoV-2 -- 7. Protein-protein interactions and SARS-CoV-2 -- References -- Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data -- 1. Introduction -- 2. Methods -- 2.1. Data Collection -- 2.2. N-gram Frequency Measures -- 2.3. Sentiment Analysis -- 3. Results -- 3.1. Frequency of terms and n-grams -- 3.2. Sentiment analysis -- 3.3. Sentiments of tweets containing specific terms -- 4. Discussion and Conclusion -- 5. Acknowledgments -- References -- Semantic Changepoint Detection for Finding Potentially Novel Research Publications -- 1. Introduction -- 2. Methods -- 2.1. Data collection and general procedures -- 2.2. Title and abstract entropies -- 2.3. Bayesian changepoint analysis -- 2.4. Differential word clouds -- 2.5. Title and abstract embeddings. 2.6. Semantic novelty -- 2.6.1. Strategy T1: Novel paper detection based on semantic distance -- 2.6.2. Strategy T2: Detection of novel papers that may constitute a trend -- 2.6.3. Strategy Y1: Detection of a group of novel papers based on their mean vector -- 2.6.4. Strategy Y2: Proportion of novel papers -- 3. Results and Discussion -- 4. Conclusions -- 5. Supplementary Information -- 6. Acknowledgements -- References -- TreeFix-TP: Phylogenetic Error-Correction for Infectious Disease Transmission Network Inference -- 1. Background -- 2. Methods -- 2.1. Minimizing inter-host transmissions -- 2.2. Description of TreeFix-TP -- 2.3. Evaluation using simulated data sets -- 2.3.1. Data set generation -- 2.3.2. Evaluating reconstruction accuracy -- 3. Results -- 3.1. Phylogenetic error correction results -- 3.2. Source recovery in HCV outbreaks -- 3.3. Running time and scalability -- 4. Discussion and Conclusions -- Acknowledgments -- Authors' Contributions -- Supplementary Material -- References -- SARS-CoV-2 Drug Discovery based on Intrinsically Disordered Regions -- 1. Introduction -- 2. Methods -- 2.1. Molecular docking -- 2.1.1. Data collection -- 2.1.2. Data preprocessing -- 2.1.3. Target file generation -- 2.1.4. Flexible docking -- 2.1.5. Ensemble docking -- 2.2. Statistical model -- 2.2.1. Chemprop -- 2.2.2. Data and training -- 3. Results -- 3.1. Interaction modelling -- 3.2. Activity prediction -- 4. Conclusion -- 5. Acknowledgements -- References -- Feasibility of the Vaccine Development for SARS-CoV-2 and Other Viruses Using the Shell Disorder Analysis -- 1. Introduction -- 1.1. SARS-COV-2 Vaccine -- 1.2. Shell disorder analysis of HIV and other viruses -- 1.3. Spinoff projects including coronaviruses: Shell disorder and modes of transmission -- 1.4. Yet another spinoff: Correlations between the inner shell disorder and virulence. 2. Results -- 2.1. Clustering of CoV based mainly on NPID -- 2.2 Outer shell disorder is an indicator for the presence or absence of effective vaccines -- 2.3. A disordered outer shell provides an immune evasion tactic: Viral shapeshifting -- 2.4. SARS-CoV-2: Exceptionally hard shell (low MPID) associated with burrowing animals and buried feces -- 2.5. Behavior of the animal hosts matters in the evolutions of the viruses: EIAV vs. HIV -- 2.6. Feasibility of developing attenuated vaccine strains for SARS-CoV-2 -- 3. Discussion -- 3.1. Links between respiratory transmission, N (Inner shell) disorder, and virulence: Viral load in body fluids vs. vital organs -- 3.2. Greater disorder in the inner shell proteins provide means for the more efficient replication of viral particles -- 3.3 Two modes of immune evasion: "Trojan Horse" (inner shell disorder) and "viral shapeshifting" (outer shell disorder) -- 3.4. FIV, HIV-1 and HIV-2: Similarities and differences -- 3.5. FIV vaccine enigma: Questionable efficacy -- 4. Conclusions -- 4.1. Development of the SARS-CoV-2 vaccine is feasible and vaccine strains can be found in nature -- 5. Materials and Methods -- References -- Protein Sequence Models for Prediction and Comparative Analysis of the SARS-CoV-2−Human Interactome -- 1. Introduction -- 2. Methods -- 2.1. Generalized Additive Models with interactions (GA2M) -- 3. Gold Standard Interaction Datasets -- 3.1. Dealing with the lack of negative examples -- 3.2. Features -- 4. Experiments -- 4.1. TAPE: Transformer based model for protein sequences -- 5. Results -- 5.1. Prediction performance and validation of predicted interactions -- 5.2. Enrichment analysis of predicted human binding partners -- 6. Discussion -- 6.1. Visualizing the virus-human interactions -- 6.2. Highly ranked sequence features -- 6.3. Structural analysis -- 7. Prior Work -- 8. Conclusion. 9. Acknowledgements. |
| Altri titoli varianti | Biocomputing 2021 |
| Record Nr. | UNINA-9910433229003321 |
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Altman Russ B
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| World Scientific Publishing Co, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biological information-- new perspectives : proceedings of a symposium held May 31 through June 3, 2011 at Cornell University / / editors, Robert J. Marks II, Baylor University, USA, Michael J. Behe, Lehigh University, USA, William A. Dembski, Discovery Institute, USA, Bruce L. Gordon, Houston Baptist University, USA, John C. Sanford, Cornell University, USA
| Biological information-- new perspectives : proceedings of a symposium held May 31 through June 3, 2011 at Cornell University / / editors, Robert J. Marks II, Baylor University, USA, Michael J. Behe, Lehigh University, USA, William A. Dembski, Discovery Institute, USA, Bruce L. Gordon, Houston Baptist University, USA, John C. Sanford, Cornell University, USA |
| Autore | Robert J Marks II |
| Pubbl/distr/stampa | World Scientific Publishing Co, 2013 |
| Descrizione fisica | 1 online resource (xix, 563 pages) : illustrations (some color) |
| Disciplina |
572.8/629
572.8629 |
| Collana | Gale eBooks |
| Soggetto topico |
Genomics
Molecular genetics Cell interaction Mutation (Biology) Intelligent design (Teleology) |
| Soggetto non controllato |
Molecular Biology
Mutation/Selection Paradigm Numerical Simulation Mathematics Biophysics Physics Thermodynamics Information Theory Evolutionary Theory Computer Science Linguistics Genetics Developmental Biology Biological Information Whole Organism Biology |
| ISBN | 981-4508-72-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | section 1. Information theory & biology : introductory comments / Robert J. Marks II -- section 2. Biological information and genetic theory : introductory comments / John C. Sanford -- section 3. Theoretical molecular biology : introductory comments / Michael J. Behe -- section 4. Biological information and self-organizational complexity theory : introductory comments / Bruce L. Gordon. |
| Record Nr. | UNINA-9910139028903321 |
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Robert J Marks II
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| World Scientific Publishing Co, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Challenges and Goals for Accelerators in the XXI Century
| Challenges and Goals for Accelerators in the XXI Century |
| Pubbl/distr/stampa | World Scientific Publishing Co |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557273603321 |
| World Scientific Publishing Co | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The High Luminosity Large Hadron Collider : the new machine for illuminating the mysteries of universe / / edited by Oliver Brüning and Lucio Rossi
| The High Luminosity Large Hadron Collider : the new machine for illuminating the mysteries of universe / / edited by Oliver Brüning and Lucio Rossi |
| Autore | Lucio Rossi |
| Pubbl/distr/stampa | World Scientific Publishing Co, 2015 |
| Descrizione fisica | 1 online resource (xii, 393 pages) : colour illustrations; digital, PDF file(s) |
| Disciplina | 539.7/36 |
| Collana | Advanced series on directions in high energy physics The High Luminosity Large Hadron Collider |
| Soggetto topico |
Large Hadron Collider (France and Switzerland)
Physics Physical Sciences & Mathematics Nuclear Physics |
| Soggetto non controllato |
High Field Superconducting Magnets
Large Hadron Collider High Energy Colliders Superconducting Accelerators Advanced Collimators High Luminosity Colliders LHC Upgrades Crab Cavities Superconducting Links |
| ISBN | 981-4675-47-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to the HL-LHC project / L. Rossi and O. Brüning -- The physics landscape of the High Luminosity LHC / M. Mangano -- The HL-LHC machine / I. Bejar, O. Brüning, P. Fessia, L. Rossi, R. Tomas and M. Zerlauth -- The HL-LHC accelerator physics challenges / S. Fartoukh and F. Zimmermann -- Interface with experimental detector in the high luminosity run / H. Burkhardt -- Superconducting magnet technology for the upgrade / E. Todesco, G. Ambrosio, P. Ferracin, J.M. Rifflet, G.L. Sabbi, M. Segreti, T. Nakamoto, R. Van Weekderen and Q. Xu -- Crab cavity development / E. Jensen and R. Calaga -- Powering the hi-luminosity triplets / A. Ballarino and J.P. Burnet -- Cryogenics for HL-LHC / L. Tavian, K. Brodzinski, S. Claudet, G. Ferlin, U. Wagner, R. Van Weelderen -- The "environmental" challenges: impact of radiation on machine components / M. Brugger, F. Cerutti and L. S. Esposito -- Radiation protection considerations / C. Adorisio, S. Roesler, C. Urscheler and H. Vincke -- Machine protection with a 700 MJ beam / T. Baer, R. Schmidt, J. Wenninger, D. Wollmann and M. Zerlauth -- Cleaning insertions and collimation challenges / S. Redaelli, R.B. Appleby, A. Bertarelli, R. Bruce, J.M. Jowett, A. Lechner and R. Losito -- Long-range beam-beam compensation using wires / F. Zimmermann and H. Schmickler -- Impedance and component heating / E. Métral, F. Caspers, N. Mounet, T. Pieloni and B. Salvant -- Challenges and plans for the proton injectors / R. Garoby -- New injectors: the Linac4 project and the new H-source / J. Lettry and M. Vretenar -- Challenges and plans for the ion injectors / D. Manglunki -- Challenges and plans for injection and beam dump / M. Barnes, B. Goddard, V. Mertens and J. Uythoven -- Beam instrumentation and diagnostics for the LHC upgrade / E. Bravin, B. Dehning, R. Jones and T. Lefevre -- Heavy-ion operation of HL-LHC / J.M. Jowett, M. Schaumann and R. Versteegen -- Implications for operations / G. Arduini, M. Lamont, T. Pieloni and G. Rumolo. |
| Record Nr. | UNINA-9910131397803321 |
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Lucio Rossi
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| World Scientific Publishing Co, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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