Biostatistics.
概要
| 作品: | 362 作品在 128 項出版品 128 種語言 | |
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書目資訊
Rankings and preferences = new results in weighted correlation and weighted principal component analysis with applications /
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Research methodology = a guide for researchers in agricultural science, social science and other related fields /
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Modeling dose-response microarray data in early drug development experiments using R = order-restricted analysis of mircoarray data /
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Excel 2013 for biological and life sciences statistics = a guide to solving practical problems /
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Umbrella Reviews = evidence synthesis with overviews of reviews and meta-epidemiologic studies /
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An introduction to statistics with Python = with applications in the life sciences /
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Excel 2016 for biological and life sciences statistics = a guide to solving practical problems /
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Robust rank-based and nonparametric methods = Michigan, USA, April 2015 : selected, revised, and extended contributions /
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New developments in statistical modeling, inference and application = selected papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR /
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Stochasticity in processes = fundamentals and applications to chemistry and biology /
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New theory of discriminant analysis after R. Fisher = advanced research by the feature selection method for microarray data /
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Next generation sequencing based clinical molecular diagnosis of human genetic disorders
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Extended abstracts Fall 2015 = Biomedical Big Data; Statistics for Low Dose Radiation Research /
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Using Ecological Theory to Investigate Emergent Properties of Populations in Aquatic Ecosystems.
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Bayesian Inference of Virus Evolutionary Models from Next-Generation Sequencing Data.
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Pathway-Based Multi-Omics Data Integration for Breast Cancer Diagnosis and Prognosis.
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Some Statistical Methods for Brain Gene Expression Data : = Dimension Reduction, Feature Screening, and Causal Inference.
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Leveraging latent structure in high-dimensional data : = Causality, neuroscience, and nonparametrics.
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Quasi-Least Square (QLS) and Transition Model Approach for Clustered Longitudinal Binary Data with Multiple Sources of Correlation.
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Patent Ductus Arteriosus Ligation in Extremely Preterm Infants and Death or Neurodevelopmental Impairment.
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Using Reinforcement Learning to Personalize Dosing Strategies in a Simulated Cancer Trial With High Dimensional Data.
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Semiparametric Regression and Machine Learning Methods for Estimating Optimal Dynamic Treatment Regimes.
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Combining High-performance Computing and Ecological Field Experiments to Understand Insect Outbreaks.
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Statistical Methods for Genomics Data With Clustered Structures and Missing Values.
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Social Determinants to Depressed Mood Symptoms and All-Cause Mortality in Older Adults.
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Population Dynamics of Hybrid Ecosystems : = Implications for Marginal Ecosystem Conservation and Management.
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Statistical Methods for Estimation, Testing, and Clustering with Gene Expression Data.
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Statistical analysis with measurement error or misclassification = strategy, method and application /
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Advanced data analysis in neuroscience = integrating statistical and computational models /
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Growth curve models and applications = Indian Statistical Institute, Giridih, India, March 28-29, 2016 /
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Targeted learning in data science = causal inference for complex longitudinal studies /
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Methods and biostatistics in oncology = understanding clinical research as an applied tool /
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Bayesian inference and maximum entropy methods in science and engineering = MaxEnt 37, Jarinu, Brazil, July 09-14, 2017 /
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Trends in biomathematics = modeling, optimization and computational problems : selected works from the BIOMAT Consortium Lectures, Moscow 2017 /
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Biopharmaceutical applied statistics symposium.. Volume 1,. Design of clinical trials
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Biopharmaceutical applied statistics symposium.. Volume 2,. Biostatistical analysis of clinical trials
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Biopharmaceutical applied statistics symposium.. Volume 3,. Pharmaceutical applications
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Studies in neural data science = StartUp Research 2017, Siena, Italy, June 25-27 /
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Dose-finding designs for early-phase cancer clinical trials = a brief guidebook to theory and practice /
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High-dimensional microarray data analysis = cancer gene diagnosis and malignancy indexes by microarray /
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Statistical analysis of proteomics, metabolomics, and lipidomics data using mass spectrometry
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Excel 2013 for Biological and Life Sciences Statistics = A Guide to Solving Practical Problems /
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Mathematik für Biowissenschaftler = Grundlagen mit Schwerpunkt Statistik für den Bachelor /
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Rankings and Preferences = New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications /
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New Theory of Discriminant Analysis After R. Fisher = Advanced Research by the Feature Selection Method for Microarray Data /
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(書目-語言資料,印刷品)
Excel 2016 for Biological and Life Sciences Statistics = A Guide to Solving Practical Problems /
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(書目-語言資料,印刷品)
Umbrella Reviews = Evidence Synthesis with Overviews of Reviews and Meta-Epidemiologic Studies /
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(書目-語言資料,印刷品)
An Introduction to Statistics with Python = With Applications in the Life Sciences /
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Stochasticity in Processes = Fundamentals and Applications to Chemistry and Biology /
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Robust Rank-Based and Nonparametric Methods = Michigan, USA, April 2015: Selected, Revised, and Extended Contributions /
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New Developments in Statistical Modeling, Inference and Application = Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR /
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Trends in Biomathematics: Modeling, Optimization and Computational Problems = Selected works from the BIOMAT Consortium Lectures, Moscow 2017 /
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Biopharmaceutical Applied Statistics Symposium = Volume 2 Biostatistical Analysis of Clinical Trials /
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Fallzahlberechnung in der medizinischen Forschung = Eine Einführung für Mediziner und Biostatistiker /
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Biopharmaceutical Applied Statistics Symposium = Volume 3 Pharmaceutical Applications /
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Studies in Neural Data Science = StartUp Research 2017, Siena, Italy, June 25–27 /
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Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs = Using R and SAS /
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Biopharmaceutical Applied Statistics Symposium = Volume 1 Design of Clinical Trials /
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Methods and Biostatistics in Oncology = Understanding Clinical Research as an Applied Tool /
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Bayesian Inference and Maximum Entropy Methods in Science and Engineering = MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 /
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Targeted Learning in Data Science = Causal Inference for Complex Longitudinal Studies /
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Modern Dose-Finding Designs for Cancer Phase I Trials: Drug Combinations and Molecularly Targeted Agents
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Dose-Finding Designs for Early-Phase Cancer Clinical Trials = A Brief Guidebook to Theory and Practice /
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High-dimensional Microarray Data Analysis = Cancer Gene Diagnosis and Malignancy Indexes by Microarray /
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Efficacy Analysis in Clinical Trials an Update = Efficacy Analysis in an Era of Machine Learning /
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The Handbook of Cuffless Blood Pressure Monitoring = A Practical Guide for Clinicians, Researchers, and Engineers /
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Rechnen im Labor = mit zahlreichen Aufgaben und Lösungswegen aus dem biologisch-technischen Alltag /
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Understanding Statistics and Experimental Design = How to Not Lie with Statistics /
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Identifiability and Regression Analysis of Biological Systems Models = Statistical and Mathematical Foundations and R Scripts /
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Inferenzstatistik verstehen = Von A wie Signifikanztest bis Z wie Konfidenzintervall /
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Statistical Modeling in Biomedical Research = Contemporary Topics and Voices in the Field /
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Excel 2019 for Biological and Life Sciences Statistics = A Guide to Solving Practical Problems /
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Statistical Methods for Global Health and Epidemiology = Principles, Methods and Applications /
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Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials
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Spatial Relationships Between Two Georeferenced Variables = With Applications in R /
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Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
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Computational and Methodological Statistics and Biostatistics = Contemporary Essays in Advancement /
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Quantitative Psychology = The 85th Annual Meeting of the Psychometric Society, Virtual /
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Advances in Statistics - Theory and Applications = Honoring the Contributions of Barry C. Arnold in Statistical Science /
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Advances in Compositional Data Analysis = Festschrift in Honour of Vera Pawlowsky-Glahn /
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The 2x2 Matrix = Contingency, Confusion and the Metrics of Binary Classification /
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Random Walk and Diffusion Models = An Introduction for Life and Behavioral Scientists /
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Relationsanalyse (RELAN) - Aussagenlogische, statistische und kausale Analyse von Daten
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An Introduction to Statistics with Python = With Applications in the Life Sciences /
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Recent Developments in Statistics and Data Science = SPE2021, Évora, Portugal, October 13–16 /
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Kontinuierliche Messgrößen und Stichprobenstrategien in Raum und Zeit = mit Anwendungen in den Natur-, Umwelt-, Wirtschafts- und Finanzwissenschaften /
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SIR - Model Supported by a New Density = Action Document for an Adapted COVID - Management /
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SIR - Modell durch eine neue Dichte unterstützt = Handlungsdokument für ein angepasstes COVID – Management /
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Fundamentals of supervised machine learning = with applications in Python, R, and Stata /
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Twenty interviews with Psychometric society presidents = what's on the mind of the psychometrician? /
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Statistical modelling and risk analysis = selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 /
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Modeling correlated outcomes using extensions of generalized estimating equations and linear mixed modeling
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Biostatistics and epidemiology = a primer for health and biomedical professionals /
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A Gaussian-Process Framework for Nonlinear Statistical Inference Using Modern Machine Learning Models.
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The Emergence, Distribution, and Persistence of Viral Pathogens in Swine Production Systems.
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Evaluation of Insect Meal Amended Feeds on Fish and Plant Growth Rate in a Coupled Aquaponics System.
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Novel Statistical Approaches for High-Dimensional Microbiome Data and Integrative Analysis of Single-Arm Clinical Studies and Real-World Data.
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Regularized Local Smoothing for Longitudinal Analysis with Time-Varying Coefficient Models and Transformation Models.
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Biopsychosocial Characterization of Cognitive Decline and Late-Life Depression Trajectories Using Bayesian Consensus Clustering and Machine Learning.
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Statistics Methods for Single-Cell Genomics Data, from Multimodal Clustering to Reference Mapping.
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Statistical and Computational Approaches for Data Integration and Constrained Variable Selection in Large Datasets.
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A Time Series Analysis Approach to Tree Ring Standardization (Dendrochronology, Forestry, Dendroclimatology, Autoregressive Process).
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Linear mixed-effects models : = Applications to the behavioral sciences and adolescent community health.
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Machine Learning-Based Assessment of Obesity : = An Investigation of Model Performance and Feature Selection.
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The Role of Educational Status and the Management of Diabetes Among Mexican Migrants on the Northern Mexican Border.
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Statistical Machine Learning Methodology for Individualized Treatment Rule Estimation in Precision Medicine.
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Navigating the Complexity of Genetic and Phenotypic Data : = Insights from Genomic Structural Equation Modeling and Assortative Mating Patterns.
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Development of Behavioral Analysis Tools for the Assessment of Threat Avoidance Learning in mPFC.
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Novel Statistical Methods for Causal Inference Based on Truncated and Censored Time-to-Event Data.
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Problems in Variable Selection : = False Discovery Rate Control and Variational Inference.
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Integrating Genetics and Brain Connectivity : = Overcoming Statistical Challenges to Uncover the Neural Basis of Psychiatric and Behavioral Disorders.
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Wisconsin Sand Mining Operation Sites and Individuals Diagnosed With Asthma and COPD.
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From Rain Drops to Rivers : = Unraveling Aridification's Influence on Coastal Stream Ecosystem Dynamics.
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Applying Job Characteristics Theory to Reduce the Effects of Careless Responding Behavior During Online Surveys.
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Development and Application of Robustness Evaluation Techniques for AI/ML Models Derived From Biological Data.
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The Relationship Between Nurse Staffing Ratio of Hospitals and Patient Satisfaction in Emergency Units.
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Comorbidity of Disordered Eating and Depression : = Examining Intersectional Inequities and Cardiometabolic Health Consequences Across the Life Course.
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Distributed Algorithms and Statistical Inference for Multi-Site Analyses : = Unfolding the Complexity of Heterogeneity in Real-World Data.
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Causal Inference Methods for Evaluation of Large-Scale Environmental Policy Effects Under Complex Treatment Interference.
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Comparing Welch ANOVA, a Kruskal-Wallis test, and traditional ANOVA in case of heterogeneity of variance.
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HIV Outcome Relationships Among Gender Inequality, Poverty, and Population Growth in Africa.
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Statistical Methods for the Study of Effect Modification and Spatial Causal Inference : = Theory and Applications.
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Biostatistics in biopharmaceutical research and development.. Volume 2,. Clinical trial analysis
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Biostatistics in biopharmaceutical research and development.. Volume 1,. Clinical trial design
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Biostatistics modeling and public health applications = study design and analysis methodology in health sciences.. Volume 1 /
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