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1. |
Record Nr. |
UNINA9910820979003321 |
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Titolo |
Advanced vaccine research : methods for the decade of vaccines / / edited by Fabio Bagnoli and Rino Rappuoli |
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Pubbl/distr/stampa |
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Norfolk, England : , : Caister Academic Press, , [2015] |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (474 p.) |
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Disciplina |
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Soggetti |
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Vaccines - Research |
Drug development |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Contributors; Current Books of Interest; Preface; Part I: Innovative Technologies and Approaches in Vaccine Research; 1: Deep Sequencing in Vaccine Research, Development and Surveillance ; Impact of DNA sequencing on vaccines research and development; Deep sequencing potential to transform vaccinology; 2: New Bioinformatics Algorithms Applied to Deep Sequencing Projects ; Introduction; Better understating of host and pathogen genomes; Computational approaches to study adaptive immune responses; Better understanding of transcriptome |
Epigenomics: understanding of inheritable chemical changesMetagenomics: finding new pathogens and strains; Bioinformatics challenges; 3: Comparative Genomics Approaches for Tracking the Emergence and Spread of Disease-associated Bacteria; Background; Comparative genomics of disease-associated bacteria; Assays for identification of disease-associated bacteria based on insights from comparative genomics; Conclusions; 4: Quantitative Proteomics in Vaccine Research; Introduction; Quantitative proteomics based on gel electrophoresis; Quantitative proteomics based on differential mass tag |
Label-free technologies and targeted proteomicsMass spectrometry for viral vaccinology; Proteomic technology for vaccine development ; Combining proteomics and system biology to improve vaccines; |
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Concluding remarks; 5: Structural Biology in Vaccine Research; Introduction; Experimental mapping and computational prediction of epitopes; Examples of structural vaccinology for bacterial and viral pathogens; Concluding remarks and future directions; 6: Cellular Screens to Interrogate the Human T- and B-cell Repertoires and Design Better Vaccines ; Introduction |
Generation of naive B- and T-cell repertoires7: Novel Strategies of Vaccine Administration: The Science Behind Epidermal and Dermal Immunization; Introduction; The skin layers; Skin antigen-presenting cells and other players in vaccination; Principles and methods in skin immunization; Vaccine formulation and immunity; Immunological advantage of epidermal and dermal immunization; 8: Toll-like Receptors as Targets to Develop Novel Adjuvants; Introduction; Innate immunity; TLR-based adjuvants in high-priority vaccines; Lessons learned from studies of TLR agonists as adjuvants |
Safety considerations of TLR agonistsChallenges for the next decade; 9: The Importance of Cell-mediated Immunity for Bacterial Vaccines ; Introduction; T-cell responses to bacterial infection; Targeting cellular immunity for novel anti-bacterial vaccine design; 10: T-cell-inducing Vaccines; Introduction; How can we measure T-cell responses?; Technologies for inducing T-cell responses by vaccination; Heterologous prime-boost immunization; Successful clinical development of T-cell vaccines; 11: Exploiting the Mutanome for Personalized Cancer Immunotherapy |
Cancer mutations as therapeutic targets |
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Sommario/riassunto |
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Since the publication of our first book book ""Vaccine Design: Innovative Approaches and Novel Strategies"" in 2011, the field of vaccinology has advanced significantly. The application of new sophisticated 'omics' technologies and the use of pioneering approaches have yielded a wealth of new data. This new book aims to distill the most important new findings to provide a timely overview of the field. Written by leading experts in the field, each chapter affords a critical insight to a particular topic, reviews current research, discusses future direction and aims to stimulate discussion. The |
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2. |
Record Nr. |
UNINA9910438055303321 |
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Autore |
Gorgulho Antonio, M. S. B. S |
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Titolo |
Intelligent financial portfolio composition based on evolutionary computation strategies / / Antonio M.S.B.S. Gorgulho, Rui F.M.F. Neves, Nuno C.G. Horta |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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9781283909020 |
1283909022 |
9783642329890 |
3642329896 |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (84 p.) |
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Collana |
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SpringerBriefs in applied sciences and technology. Computational intelligence |
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Altri autori (Persone) |
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NevesRui F. M. F |
HortaNuno C. G |
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Disciplina |
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Soggetti |
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Portfolio management |
Evolutionary computation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Preface -- Introduction -- Related Work -- Solution’s Architecture -- System Validation -- Conclusions and Future Work -- References -- Appendixes. |
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Sommario/riassunto |
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The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash. |
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3. |
Record Nr. |
UNINA9910686478703321 |
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Autore |
Awange Joseph L |
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Titolo |
Mathematical Geosciences : Hybrid Symbolic-Numeric Methods / / by Joseph L. Awange, Béla Paláncz, Robert H. Lewis, Lajos Völgyesi |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[2nd ed. 2023.] |
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Descrizione fisica |
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1 online resource (733 pages) |
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Altri autori (Persone) |
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PalánczBéla |
LewisRobert H |
VölgyesiLajos |
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Disciplina |
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Soggetti |
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Earth sciences |
Environmental sciences—Mathematics |
Geography—Mathematics |
Mathematical physics |
Physical geography |
Geophysics |
Earth Sciences |
Mathematical Applications in Environmental Science |
Mathematics of Planet Earth |
Mathematical Methods in Physics |
Earth System Sciences |
Geologia aplicada |
Matemàtica |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Solution of nonlinear systems -- Solution of algebraic polynomial systems -- Homotopy solution of nonlinear systems -- Over and underdeterminated systems -- Nonlinear geodetic equations with uncertainties -- Optimization of systems -- Simulated annealing. |
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Sommario/riassunto |
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This second edition of Mathematical Geosciences book adds five new |
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topics: Solution equations with uncertainty, which proposes two novel methods for solving nonlinear geodetic equations as stochastic variables when the parameters of these equations have uncertainty characterized by probability distribution. The first method, an algebraic technique, partly employs symbolic computations and is applicable to polynomial systems having different uncertainty distributions of the parameters. The second method, a numerical technique, uses stochastic differential equation in Ito form; Nature Inspired Global Optimization where Meta-heuristic algorithms are based on natural phenomenon such as Particle Swarm Optimization. This approach simulates, e.g., schools of fish or flocks of birds, and is extended through discussion of geodetic applications. Black Hole Algorithm, which is based on the black hole phenomena is added and a new variant of the algorithm code is introduced and illustrated based on examples; The application of the Gröbner Basis to integer programming based on numeric symbolic computation is introduced and illustrated by solving some standard problems; An extension of the applications of integer programming solving phase ambiguity in Global Navigation Satellite Systems (GNSSs) is considered as a global quadratic mixed integer programming task, which can be transformed into a pure integer problem with a given digit of accuracy. Three alternative algorithms are suggested, two of which are based on local and global linearization via McCormic Envelopes; and Machine learning techniques (MLT) that offer effective tools for stochastic process modelling. The Stochastic Modelling section is extended by the stochastic modelling via MLT and their effectiveness is compared with that of the modelling via stochastic differential equations (SDE). Mixing MLT with SDE also known as frequently Neural Differential Equations is also introduced and illustrated by an image classification via a regression problem. |
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