Zoekresultaten - BAFTA~

Immunogenetics Methods and Protocols /

Inhoudsopgave: “…The Advent of Precision Immunology: Immunogenetics at the Center of Immune Cell Analysis in Health and Disease -- Next-Generation Sequencing-Based Clonality Detection of Immunoglobulin Gene Rearrangements in B-Cell Lymphoma -- One-Step Next Generation Sequencing of Immunoglobulin and T-Cell Receptor Gene Recombinations for MRD Marker Identification in Acute Lymphoblastic Leukemia -- Immunoglobulin/T-Cell Receptor Gene Rearrangement Analysis Using RNA-Seq -- Minimal Residual Disease Analysis by Monitoring Immunoglobulin and T-Cell Receptor Gene Rearrangements by Quantitative PCR and Droplet Digital PCR -- Quality Control for IG/TR Marker Identification and MRD Analysis -- cfDNA-Based NGS IG Analysis in Lymphoma -- Targeted Locus Amplification as Marker Screening Approach to Detect Immunoglobulin (IG) Translocations in B-Cell Non-Hodgkin Lymphomas -- Immunoglobulin/T-Cell Receptor Capture Strategy for Comprehensive Immunogenetics -- Immunoglobulin Gene Mutational Status Assessment by Next Generation Sequencing in Chronic Lymphocytic Leukemia -- NGS-Based B-Cell Receptor Repertoire Analysis in the Context of Inborn Errors of Immunity -- Generic Multiplex Digital PCR for Accurate Quantification of T-Cells in Copy Number Stable and Unstable DNA Samples -- Gene Engineering T-Cells with T-Cell Receptor for Adoptive Therapy -- Combined Analysis of Transcriptome and T-Cell Receptor Alpha Beta (TRA/TRB) Repertoire in Paucicellular Samples at the Single Cell Level -- AIRR Community Guide to Planning and Performing AIRR-Seq Experiments -- Adaptive Immune Receptor Repertoires (AIRR) Community Guide to TR and IG Gene Annotation -- Adaptive Immune Receptor Repertoires (AIRR) Community Guide to Repertoire Analysis -- Bulk gDNA Sequencing of Antibody Heavy Chain Gene Rearrangements for Detection and Analysis of B-Cell Clone Distribution: A Method by the AIRR Community -- Bulk Sequencing from mRNA with UMI for Evaluation of B-Cell Isotype and Clonal Evolution: A Method by the AIRR Community -- Single Cell Analysis and Tracking of Antigen-Specific T-Cells: Integrating Paired-Chain AIRR-Seq and Transcriptome Sequencing: A Method by the AIRR Community -- Quality Control: Chain Pairing Precision and Monitoring of Cross-Sample Contamination: A Method by the AIRR Community -- Immune Repertoire Analysis on High-Performance Computing Using VDJServer V1: A Method by the AIRR Community -- Data Sharing and Re-Use: A Method by the AIRR Community -- IMGT® Immunoinformatics Tools for Standardized V-DOMAIN Analysis -- IMGT/3Dstructure-DB: T-Cell Receptor TR Paratope and Peptide/Major Histocompatibility pMH Contact Sites and Epitope -- ARResT/Interrogate Immunoprofiling Platform: Concepts, Workflows, and Insights -- Purpose-Built Immunoinformatics for BcR IG/TR Repertoire Data Analysis.…”
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Land Use Cover Datasets and Validation Tools Validation Practices with QGIS /

Inhoudsopgave: “…About this book -- Part I. Concepts, data and validation -- Chapter 2. Land Use Cover mapping, modelling and validation. …”
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Process Mining Workshops ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021, Revised Selected Papers /

Inhoudsopgave: “…Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop -- Probability Estimation of Uncertain Process Trace Realizations -- Visualizing Trace Variants From Partially Ordered Event Data -- Analyzing Multi-level BOM-structured Event Data -- Linac: A Smart Environment Simulator of Human Activities -- Root Cause Analysis in Process Mining with Probabilistic Temporal Logic -- xPM: A Framework for Process Mining with Exogenous Data -- A Bridging Model for Process Mining and IoT -- Exploiting Instance Graphs and Graph Neural Networks for next activity prediction -- Can deep neural networks learn process modelstructure? …”
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Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes

Inhoudsopgave: “…Optimal Control and Applications -- PART 5. Modeling and Data Analytics -- PART 6. Nonlinear Control Systems and Machine Learning.…”
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Evidence-Based Medicine - A Paradigm Ready To Be Challenged? How Scientific Evidence Shapes Our Understanding And Use Of Medicine / door Schulte, Marie-Caroline

Inhoudsopgave: “…-- Homeopathy - a case in point why EBM is so important - or "the plural of anecdote is not data." .…”
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Prealgebra via Python Programming First Steps to Perform Large Scale Computational Tasks in the Sciences and Engineerings door Rojas, Sergio

Inhoudsopgave: “…Preface -- Contents -- Getting, installing, and testing the programming python environment -- Whole numbers in Python -- Applications involving Whole Numbers via Python -- Reading and writing (input/output) in Python -- Integers and Rational numbers in Python -- Decimal numbers in Python -- Graphing and data visualization in Python -- Index…”
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Psychosocial Experiences of African Migrants in Six European Countries A Mixed Method Study / door Idemudia, Erhabor, Boehnke, Klaus

Inhoudsopgave: “…Introduction and Background -- Migration patterns in Africa -- Current 'Everyday' Trends in Migrations -- Theoretical explanations of migration, mental health and wellbeing -- General scientific procedure for data gathering -- Routes of migration -- Social experiences of migrants -- Varieties of Migrants -- Explanatory Models -- Discussion and Conclusion -- Impact. …”
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Computer Networks A Systems Approach door Peterson, Larry, Davie, Bruce

Inhoudsopgave: “…Chapter 1: Foundation -- Chapter 2: Direct Connections -- Chapter 3: Internetworking -- Chapter 4: Advanced Internetworking -- Chapter 5: End-to-End Protocols -- Chapter 6: Congestion Control -- Chapter 7: End-to-End Data -- Chapter 8: Network Security -- Chapter 9: Applications…”
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Genre in a Changing World

Inhoudsopgave: “…Emmons -- Stories of Becoming: A Study of Novice Engineers Learning Genres of Their Profession, Natasha Artemeva -- The Dissertation as Multi-Genre: Many Readers, Many Readings, Anthony Paré, Doreen Starke-Meyerring, and Lynn McAlpine -- Part 3: Genre and Media -- The Distinction Between News and Reportage in the Brazilian Journalistic Context: A Matter of Degree, Adair Bonini -- The Organization and Functions of the Press Dossier: The Case of Media Discourse on the Environment in Portugal, Rui Ramos -- Multi-semiotic Communication in an Australian Broadsheet: A New News Story Genre, Helen Caple -- Narrative and Identity Formation: An Analysis of Media Personal Accounts from Patients of Cosmetic Plastic Surgery, Débora de Carvalho Figueiredo -- Part 4: Genre in Teaching and Learning -- Genre and Cognitive Development: Beyond Writing to Learn, Charles Bazerman -- Bakhtin Circle's Speech Genres Theory: Tools for a Transdisciplinary Analysis of Utterances in Didactic Practices, Roxane Helena Rodrigues Rojo -- The Role of Context in Academic Text Production and Writing Pedagogy, Désirée Motta-Roth -- Teaching Critical Genre Awareness, Amy Devitt -- Curricular Proposal of Santa Catarina State: Assessing the Route, Opening Paths, Maria Marta Furlanetto -- Intertextual Analysis of Finnish EFL Textbooks: Genre Embedding as Recontextualization, Salla Lähdesmäki -- Part 5: Genre in Writing Across the Curriculum -- Exploring Notions of Genre in "Academic Literacies" and "Writing Across the Curriculum": Approaches Across Countries and Contexts , David R. …”
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Multilevel Modelling for Public Health and Health Services Research Health in Context / door Leyland, Alastair H., Groenewegen, Peter P.

Inhoudsopgave: “…-- Chapter 4: Multilevel data structures -- Part II: Statistical background -- Chapter 5: Graphs and equations -- Chapter 6: Apportioning variation in multilevel models -- Part III: The modelling process and presentation of research -- Chapter 7: Context, composition and how their influences vary -- Chapter 8: Ecometrics: Using MLA to construct contextual variables from individual data -- Chapter 9: Modelling strategies -- Chapter 10: Reading and writing -- Part IV: Tutorials with example datasets -- Chapter 11: Multilevel linear regression using MLwiN: Mortality in England and Wales, 1979-1992 -- Chapter 12. …”
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Nanoinformatics

Inhoudsopgave: “…Descriptors for Machine Learning of Materials Data -- 2. Potential Energy Surface Mapping of Charge Carriers in Ionic Conductors Based on a Gaussian Process Model -- 3. …”
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Learning Statistics with R A tutorial for psychology students and other beginners door Navarro, Danielle

Inhoudsopgave: “…An introduction to R -- Chapter 3: Getting started with R -- Chapter 4: Additional R concepts -- III. Working with data -- Chapter 5: Descriptive statistics -- Chapter 6: Drawing graphs -- Chapter 7: Pragmatic matters -- Chapter 8: Basic programming -- IV. …”
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Genresignaturen Diskurshistorische Perspektiven auf das Psycho-Universum von 1960 bis 2017 / door Kirsten, Karina

Inhoudsopgave: “…Einleitung -- Diskursivität / Historizität von Genre -- Diskursive Veränderungen in Psycho zwischen Horrorsensation und Autorenkino -- Generisch-serielle Re-Lektüren in Psycho II-IV zwischen Interdependenzen und Slashergenre -- Generisch-serielle De-Konstruktionen in Bates Motel zwischen historischer Reimagination und seriengenetischer Neuperspektivierung -- Zusammenführungen.…”
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The Shallow and the Deep A biased introduction to neural networks and old school machine learning door Biehl, Michael

Inhoudsopgave: “…Preface -- From neurons to networks -- Learning from example data -- The Perceptron -- Beyond linear separability -- Feed-forward networks for regression and classification -- Distance-based classifiers -- Model evaluation and regularization -- Preprocessing and unsupervised learning -- Concluding quote -- Appendix A: Optimization -- List of figures -- List of algorithms -- Abbrev. and acronyms -- Bibliography…”
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Structural Health Monitoring Damage Detection Systems for Aerospace

Inhoudsopgave: “…Strain monitoring -- Chapter 9. Data reduction -- Chapter 10. Conclusions.…”
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Low-Cost Methods for Molecular Characterization of Mutant Plants Tissue Desiccation, DNA Extraction and Mutation Discovery: Protocols / door Till, Bradley J., Jankowicz-Cieslak, Joanna, Huynh, Owen A., Beshir, Mayada M., Laport, Robert G., Hofinger, Bernhard J.

Inhoudsopgave: “…Introduction -- Health and Safety Considerations -- Sample Collection and Storage -- Low-Cost DNA Extraction -- PCR Amplification for Low-Cost Mutation Discovery -- Enzymatic Mismatch Cleavage and Agarose Gel Evaluation of Samples -- Alternative Enzymology for Mismatch Cleavage for TILLING and Ecotilling: Extraction of Enzymes form Common Weedy Plants -- Example Data -- Conclusions.  .…”
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Data Collection in Fragile States Innovations from Africa and Beyond /

Inhoudsopgave: “…Chapter 1: Fragility and innovations in data collection; Johannes Hoogeveen and Utz Pape -- Part I: Innovations in data collection -- Chapter 2: Monitoring the Ebola crisis using mobile phone surveys; Alvin Etang and Kristen Himelein -- Chapter 3: Rapid Emergency Response Survey; Utz Pape -- Chapter 4: Tracking displaced people in Mali; Alvin Etang and Johannes Hoogeveen -- Chapter 5: Locally recruited, resident and enumerators for continuous monitoring; Andre-Marie Taptué and Johannes Hoogeveen -- Chapter 6: A local development index for the Central African Republic and Mali; Mohamed Coulibaly, Johannes Hoogeveen, Roy Katayama and Gervais Chamberlin Yama -- Part II: Methodologically innovations -- Chapter 7: Geo-spatial sampling; Stephanie Eckman and Kristen Himelein -- Chapter 8: Sampling in chaotic environments; Ana I. …”
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Anisotropy Across Fields and Scales

Inhoudsopgave: “…Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry.…”
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Brain-Inspired Computing 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15-19, 2019, Revised Selected Papers /

Inhoudsopgave: “…-- Usage and scaling of an open-source spiking multi-area model of the monkey cortex -- Exascale compute and data infrastructures for neuroscience and applications -- Modular supercomputing for neuroscience -- Fenix: Distributed e-Infrastructure Services for EBRAINS -- Independent component analysis for noise and artifact removal in three-dimensional Polarized Light Imaging -- Exascale artificial and natural neural architectures -- Brain-inspired algorithms for processing of visual data -- An hybrid attention-based system for the prediction of facial attributes -- The statistical physics of learning revisited: Typical learning curves in model scenarios -- Emotion mining: from unimodal to multimodal approaches -- .…”
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Multivariate Statistical Machine Learning Methods for Genomic Prediction door Montesinos López, Osval Antonio, Montesinos López, Abelardo, Crossa, José

Inhoudsopgave: “…Preface -- Chapter 1 -- General elements of genomic selection and statistical learning -- Chapter. 2 -- Preprocessing tools for data preparation -- Chapter. 3 -- Elements for building supervised statistical machine learning models -- Chapter. 4 -- Overfitting, model tuning and evaluation of prediction performance -- Chapter. 5 -- Linear Mixed Models -- Chapter. 6 -- Bayesian Genomic Linear Regression -- Chapter. 7 -- Bayesian and classical prediction models for categorical and count data -- Chapter. 8 -- Reproducing Kernel Hilbert Spaces Regression and Classification Methods -- Chapter. 9 -- Support vector machines and support vector regression -- Chapter. 10 -- Fundamentals of artificial neural networks and deep learning -- Chapter. 11 -- Artificial neural networks and deep learning for genomic prediction of continuous outcomes -- Chapter. 12 -- Artificial neural networks and deep learning for genomic prediction of binary, ordinal and mixed outcomes -- Chapter. 13 -- Convolutional neural networks -- Chapter. 14 -- Functional regression -- Chapter. 15 -- Random forest for genomic prediction.…”
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