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This book explores how nuclear magnetic resonance (NMR) spectroscopy may be used for spatial structural elucidation of novel compounds from fungal and synthetic sources. Readers will discover the exciting world of NOE (nuclear Overhauser effect), RDC (residual dipolar coupling) and J-coupling constants, both short- and long range. With emphasis on obtaining structural knowledge from these NMR observables, focus is moved from solving a static 3D structure to solving the structural space inhabited by small organic molecules. The book outlines the development and implementation of two Heteronuclear Multiple Bond Correlation-type NMR experiments, and the 3D structural elucidation of multiple known and novel compounds. In addition, a new method of back-calculating RDCs (allowing for more flexible structures to be investigated), and the synthesis and evaluation of novel chiral alignment media for ab initio determination of absolute stereochemistry of small molecules using RDCs are also included. Challenges that 3D structural generation of small compounds face are also covered in this work.
Discover and develop your pupils' strengths across the multiple intelligences by improving their problem solving skills. This book will: tell teachers all they need to know about multiple intelligences and problem solving provide a bank of problems that can be integrated into any lesson plan help teachers to identify gifted and able pupils guide schools on how to organize their curriculum using example curriculum plans. For teachers working across the Foundation Stage, Key Stages One and Two, Headteachers and those working at management level.
The Cortona Conference is a biennial meeting of all Italian groups from about 20 universities who are active in theoretical nuclear physics.This volume presents the main achievements and perspectives of Italian theoretical nuclear physics, with particular reference to the last two years.The first part contains the invited talks on: (1) Nuclear structure, (2) Light nuclei physics, (3) Hadronic degrees of freedom, (4) Nuclear physics with electroweak probes, (5) Nuclear dynamics and nuclear matter, and (6) First results about the AIACE experiment. Furthermore it includes two longer communications on: (7) Nuclear physics with exotic beams, and (8) Solution of the folding problem in protein models. The second part contains contributed papers.
This book contains the latest research work presented at the International Conference on Computing and Communication Systems (I3CS 2020) held at North-Eastern Hill University (NEHU), Shillong, India. The book presents original research results, new ideas and practical development experiences which concentrate on both theory and practices. It includes papers from all areas of information technology, computer science, electronics and communication engineering written by researchers, scientists, engineers and scholar students and experts from India and abroad.
The Cortona Conference is a biennial meeting of all Italian groups from about 20 universities who are active in theoretical nuclear physics.This volume presents the main achievements and perspectives of Italian theoretical nuclear physics, with particular reference to the last two years.The first part contains the invited talks on: (1) Nuclear structure, (2) Light nuclei physics, (3) Hadronic degrees of freedom, (4) Nuclear physics with electroweak probes, (5) Nuclear dynamics and nuclear matter, and (6) First results about the AIACE experiment. Furthermore it includes two longer communications on: (7) Nuclear physics with exotic beams, and (8) Solution of the folding problem in protein models. The second part contains contributed papers.
Perform genome analysis and sequencing of data with Amazon Web Services Genomics in the AWS Cloud: Analyzing Genetic Code Using Amazon Web Services enables a person who has moderate familiarity with AWS Cloud to perform full genome analysis and research. Using the information in this book, you'll be able to take a FASTQ file containing raw data from a lab or a BAM file from a service provider and perform genome analysis on it. You'll also be able to identify potentially pathogenic gene sequences. Get an introduction to Whole Genome Sequencing (WGS) Make sense of WGS on AWS Master AWS services for genome analysis Some key advantages of using AWS for genomic analysis is to help researchers utilize a wide choice of compute services that can process diverse datasets in analysis pipelines. Genomic sequencers that generate raw data files are located in labs on premises and AWS provides solutions to make it easy for customers to transfer these files to AWS reliably and securely. Storing Genomics and Medical (e.g., imaging) data at different stages requires enormous storage in a cost-effective manner. Amazon Simple Storage Service (Amazon S3), Amazon Glacier, and Amazon Elastics Block Store (Amazon EBS) provide the necessary solutions to securely store, manage, and scale genomic file storage. Moreover, the storage services can interface with various compute services from AWS to process these files. Whether you're just getting started or have already been analyzing genomics data using the AWS Cloud, this book provides you with the information you need in order to use AWS services and features in the ways that will make the most sense for your genomic research.
One of Literary Hub's Most Anticipated Books of 2024 Exploring the most transformative breakthroughs in biology since the discovery of the double helix, a Nobel Prize–winning scientist unveils the RNA age. For over half a century, DNA has dominated science and the popular imagination as the “secret of life.” But over the last several decades, a quiet revolution has taken place. In a series of breathtaking discoveries, the biochemist Thomas R. Cech and a diverse cast of brilliant scientists have revealed that RNA—long overlooked as the passive servant of DNA—sits at the center of biology’s greatest mysteries: How did life begin? What makes us human? Why do we get sick and grow old? In The Catalyst, Cech finally brings together years of research to demonstrate that RNA is the true key to understanding life on Earth, from its very origins to our future in the twenty-first century. A gripping journey of discovery, The Catalyst moves from the early experiments that first hinted at RNA’s spectacular powers, to Cech’s own paradigm-shifting finding that it can catalyze cellular reactions, to the cutting-edge biotechnologies poised to reshape our health. We learn how RNA—once thought merely to transmit DNA’s genetic instructions to the cell’s protein-making machinery—may have jump-started life itself, and how, at the same time, it can cut our individual lives short through viral diseases and cancer. We see how RNA is implicated in the aging process and explore the darker depths of the supposed fountain of youth, telomerase. And we catch a thrilling glimpse into how RNA-powered therapies—from CRISPR, the revolutionary tool that uses RNA to rewrite the code of life, to the groundbreaking mRNA vaccines that have saved millions during the pandemic, and more—may enable us to improve and even extend life beyond nature’s current limits. Written by one of our foremost scientists, The Catalyst is a must-read guide to the present and future of biology and medicine.
With the dramatic increase in RNA 3D structure determination in recent years, we now know that RNA molecules are highly structured. Moreover, knowledge of RNA 3D structures has proven crucial for understanding in atomic detail how they carry out their biological functions. Because of the huge number of potentially important RNA molecules in biology, many more than can be studied experimentally, we need theoretical approaches for predicting 3D structures on the basis of sequences alone. This volume provides a comprehensive overview of current progress in the field by leading practitioners employing a variety of methods to model RNA 3D structures by homology, by fragment assembly, and by de novo energy and knowledge-based approaches.
Traditionally, randomness and determinism have been viewed as being diametrically opposed, based on the idea that causality and determinism is complicated by "noise. Although recent research has suggested that noise can have a productive role, it still views noise as a separate entity. This work suggests that this not need to be so. In an informal presentation, instead, the problem is traced to traditional assumptions regarding dynamical equations and their need for unique solutions. If this requirement is relaxed, the equations admit for instability and stochasticity evolving from the dynamics itself. This allows for a decoupling from the "burden of the past and provides insights into concepts such as predictability, irreversibility, adaptability, creativity and multi-choice behaviour. This reformulation is especially relevant for biological and social sciences whose need for flexibility a propos of environmental demands is important to understand: this suggests that many system models are based on randomness and nondeterminism complicated with a little bit of determinism to ultimately achieve concurrent flexibility and stability. As a result, the statistical perception of reality is seen as being a more productive tool than classical determinism. The book addresses scientists of all disciplines, with special emphasis at making the ideas more accessible to scientists and students not traditionally involved in the formal mathematics of the physical sciences. The implications may be of interest also to specialists in the philosophy of science.·Presents the ideas in an informal language.·Provides tools for exploring data for singularities.
The healthcare industry is grappling with numerous challenges, including rising costs, inefficiencies in service delivery, and the need for personalized treatment approaches. Traditional healthcare management and delivery methods must be improved in addressing these issues, leading to a growing demand for innovative solutions. Additionally, the exponential growth of medical data and the complexity of biomedical research and biotechnology presents a daunting challenge in harnessing this data effectively for improved patient care and medical advancements. There is a pressing need for a comprehensive understanding of how artificial intelligence (AI) can be leveraged to tackle these challenges and drive meaningful change in the healthcare sector. Future of AI in Biomedicine and Biotechnology offers a timely and insightful solution to the challenges faced by the healthcare industry. This book is not just a theoretical exploration; it is a practical roadmap for healthcare professionals, researchers, policymakers, and entrepreneurs seeking to navigate the complexities of AI in healthcare. By exploring the intersection of AI with biomedical sciences and biotechnology, this book provides a comprehensive guide to harnessing the power of AI for transformative healthcare innovation.