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Record Nr. |
UNINA9910154836803321 |
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Autore |
Labrecque Ellen |
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Titolo |
Stephanie Kwolek and bulletproof material / / by Ellen Labrecque |
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Pubbl/distr/stampa |
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Ann Arbor, Michigan : , : Cherry Lake Publishing, , [2017] |
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ISBN |
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Descrizione fisica |
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1 online resource (24 pages) : illustrations |
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Collana |
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21st Century Junior Library |
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Disciplina |
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Soggetti |
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Industrial chemists - United States |
Inventors - United States |
Ballistic fabrics |
Polyphenyleneterephthalamide |
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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 bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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A woman -- An idea -- A legacy. |
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Sommario/riassunto |
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"The 21st Century Junior Library Women Innovators series highlights the contributions of women to STEM fields. Stephanie Kwolek and Bulletproof Material examines the life of this important woman and her contributions to the development of bulletproof material. Sidebars encourage readers to engage in the material by asking deeper questions or conducting individual research. Full color photos, a glossary, and a listing of additional resources all enhance the learning experience."-- |
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2. |
Record Nr. |
UNINA9910349404903321 |
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Titolo |
Connectomics in NeuroImaging : Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings / / edited by Guorong Wu, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent Munsell |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (X, 147 p. 56 illus.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 11083 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer vision |
Computer arithmetic and logic units |
Computer science - Mathematics |
Mathematical statistics |
Artificial Intelligence |
Computer Vision |
Arithmetic and Logic Structures |
Probability and Statistics in Computer Science |
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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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Towards Ultra-high Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data -- FOD-based Registration for Susceptibility Distortion Correction in Connectome Imaging -- GIFE: Efficient and Robust Group-wise Isometric Fiber Embedding -- Multi-Modal Brain Tensor Factorization: Preliminary Results with AD Patients -- Intact Connectional Morphometricity Learning Using Multi-View Morphological Brain Networks with Application to Autism Spectrum Disorder -- Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterm Birth -- Heritability |
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Estimation of Reliable Connectomic Features -- Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains -- Riemannian Regression and Classification Models of Brain Networks Applied to Autism -- Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields -- Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States -- Towards Effective Functional Connectome Fingerprinting -- Connectivity-Driven Brain Parcellation via Consensus Clustering -- GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion -- Structural Subnetwork Evolution Across the Lifespan: Rich-club, Feeder, Seeder. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the Second International Workshop on Connectomics in NeuroImaging, CNI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 15 full papers presented were carefully reviewed and selected from 20 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group comparison studies as well as in various neuroimaging applications. |
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