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SARS, MERS and other Viral Lung Infections
Viral respiratory tract infections are important and common causes of morbidity and mortality worldwide. In the past two decades, several novel viral respiratory infections have emerged with epidemic potential that threaten global health security. This Monograph aims to provide an up-to-date and comprehensive overview of severe acute respiratory syndrome, Middle East respiratory syndrome and other viral respiratory infections, including seasonal influenza, avian influenza, respiratory syncytial virus and human rhinovirus, through six chapters written by authoritative experts from around the globe.
Python Machine Learning
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, th...
CMJ New Music Report
CMJ New Music Report is the primary source for exclusive charts of non-commercial and college radio airplay and independent and trend-forward retail sales. CMJ's trade publication, compiles playlists for college and non-commercial stations; often a prelude to larger success.
Machine Learning with PyTorch and Scikit-Learn
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a ste...
Chemistry of Opioids
Recent Advances in the Synthesis of Morphine and Related Alkaloids; by N. Chida * Opioids in Preclinical and Clinical Trials; by H. Nagase and H. Fujii * Synthesis of 14-Alkoxymorphinan Derivatives and Their Pharmacological Actions; by H. Schmidhammer and M. Spetea * 14-Amino-4,5-Epoxymorphinan Derivatives and Their Pharmacological Actions; by J. W. Lewis and S. M. Husbands * Nonpeptidic Delta (δ) Opioid Agonists and Antagonists of the Diarylmethylpiperazine Class: What Have We Learned?; by S. N. Calderon * Synthesis of Neoclerodane Diterpenes and Their Pharmacological Effects; by K. M. Lovell, K. M. Prevatt-Smith, A. Lozama and T. E. Prisinzano * Synthesis of Novel Basic Skeletons Derived from Naltrexone; by H. Nagase and H. Fujii * Twin and Triplet Drugs in Opioid Research; by H. Fujii * 3D-Pharmacophore Identification for κ-Opioid Agonists Using Ligand-Based Drug-Design Techniques; by N. Yamaotsu and S. Hirono
Novel Macromolecular Architectures via a Combination of Cyclodextrin Host/Guest Complexation and RAFT Polymerization
In this thesis, Bernhard Schmidt describes his research into two fields in the chemical sciences: supramolecular and macromolecular chemistry. Schmidt first investigates cyclodextrins (CDs), which are well known for the formation of supramolecular host/guest complexes with hydrophobic molecules in aqueous solution. Schmidt then also examines reversible addition-fragmentation chain transfer (RAFT) polymerization as a well-suited toll for the synthesis of water-soluble end-functionalized polymers. The author skillfully combines both concepts as a powerful tool to access reversibly forming macromolecular architectures. The novel methods and architectures presented in this work are highly interesting from both a fundamental point of view as well as a basis for the design of efficient drug release systems. The work in this thesis has led to a number of publications in top peer-reviewed journals.
Deep Brain Stimulation for Parkinson's Disease
Considered the largest breakthrough in the treatment of Parkinson's disease in the past 40 years, Deep Brain Stimulation (DBS) is a pioneering procedure of neurology and functional neurosurgery, forging enormous change and growth within the field. The first comprehensive text devoted to this surgical therapy, Deep Brain Stimulation for Parkinson's
