G Protein-Coupled Receptors: Emerging Paradigms in Activation, Signaling and Regulation, Part A, Volume 337 in the International Review of Cell and Molecular Biology series, reviews and details current advances in cell and molecular biology. The IRCMB series has a worldwide readership, maintaining a high standard by publishing invited articles on important and timely topics that are authored by prominent cell and molecular biologists. This new release includes comprehensive sections on the classical paradigms of GCPR signaling and regulation, the family of small GTPases: Beyond heterotrimeric G proteins, GPCR endocytosis: Arrestins, arrestin-like proteins, signaling from internalized G Protein-Coupled Receptors, GPCR kinases, and more.

Proteomics in Biology Part A, the latest volume in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field, and a focus on proteomics for this updated volume.

Student feedback has appeared in the forefront of higher education quality, particularly the issues of effectiveness and the use of student feedback to affect improvement in higher education teaching and learning, and other areas of the students tertiary experience. Despite this, there has been a relative lack of academic literature available, especially in a book format. This book focuses on the experiences of academics, higher education leaders and managers with expertise in these areas.
Enhancing Learning and Teaching through Student Feedback in Engineering is the first in a series on student feedback focusing on a specific discipline, in this case engineering. It expands on topics covered in the previous book, by the same authors. Valuable contributions have been made from a variety of experts in the area of higher education quality and student feedback in the field of engineering.
Will interrogate student feedback in engineering, on the basis of establishing a better understanding of its forms, purposes and effectiveness in learningThe first book of its kind on student feedback in engineering education and will be a scholarly resource for all stakeholders to enhance learning and teaching practices thorough student feedbackWritten by experienced academics, experts and practitioners in the area"

Biocomposites – Bio-based Fibres and Polymers from Renewable Resources: Processing, Performance, Durability and Applications provides a systematic and comprehensive review of recent developments in this important area of research. Chapters discuss novel techniques for processing and the characterization of biocomposites derived from renewable resources, focusing on durability, strength prediction, aging methods and performance evaluation. Future trends, directions and opportunities are also addressed. Readers will find an up-to-date summary of recent research findings that have been conducted on biocomposites, making this an essential reference resource for academic and industrial researchers and anyone working in the development of innovative materials from renewable resources.

Role of Green Chemistry in Ecosystem Restoration to Achieve Environmental Sustainability deals with current challenges of environmental problems along with the approaches of environmental sustainability in alliance with green chemistry. The book shows how to lessen the impact on the environment by maintaining a balance between society, the environment, and the economy, all of which are regarded as fundamental pillars of sustainability. Furthermore, policymakers and scholars will gain insights into how to develop and explore innovative techniques for achieving sustainable development goals. This book is unique in the field of environmental sustainability, as it is based on green chemistry concepts.

G Protein-Coupled Receptors, Part A, Volume 193 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field. G protein-coupled receptors (GPCRs) represent the largest class of cell surface proteins with an intricate involvement of nearly every physiological process in our body. Approximately, one third of the clinically prescribed medicines target GPCRs and the quest to improve the exiting GPCR-targeting therapeutics continues. These two volumes are focused on activation, signaling and regulation of GPCRs with specific examples of receptor systems and cellular processes.

Cyanobacteria, the ancient photoautotrophs on the Earth have always been regarded as the most important organism to sustain life in the planet. They are among the first pioneering communities on various harsh habitat, hydrarch or xerarch, which finally facilitate the emergence of vast communities including higher plants. Being the progenitor of chloroplast, the cyanobacterial metabolisms has always fascinated microbiologist. Additionally, the ability of these prokaryotes to produce valuable and prolific sources of natural products signified their role in array of industrial sectors. Further, the attempts to engineer the cyanobacterial metabolisms in way to enhance production of these metabolites are gradually increasing. Therefore, in this book, we proposed to accumulate the knowledge of cyanobacterial metabolisms and molecules as an asset for students, researchers, and biotechnologists. Cyanobacteria: Metabolisms to Molecules will cover diversity, fundamental metabolisms, crucial metabolities and their synthesis, and bioinformatics.

Water Resources Management for Rural Development: Challenges and Mitigation provides an overview of the current challenges of rural water and its management strategies. The content contains practical and theoretical aspects of the water crisis in rural areas in a changing climate era, with an emphasis on recent water crisis research and management strategies. The book's structure contains fundamentals of water resources, pollution, remediation, supply and management strategies. Case studies included provide different water-related issues around the globe, introducing the reader to the paths of reducing the burden on the groundwater and the alternative options for the supply of water in rural areas. Decision-makers and water supply authorities will benefit from this unique resource that comprehensively covers rural water management in ways no comparable book has achieved.

Integrated Methods in Protein Biochemistry: Part C, Volume 679 in the Methods in Enzymology series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including NanoBiT-based methods to monitor the activation and modulation of RTKs, The interplay of G-protein ss? subunit and PLC-ss enzyme in PIP2 hydrolysis and downstream signaling, Biochemical Analysis of Protein-Protein Interfaces underlying the regulation of Bacterial Secretion Systems, Probing the structure and function of N-acetylmannosamine-6-phosphate 2-epimerase, Spectroscopic analysis of cysteine dioxygenase: a mammalian thiol-dioxygenase, DeGlyPHER: MS-based analysis of viral spike N-glycoforms, and more. Other sections cover Covalent protein painting: MS-based protein footprinting, Characterization of GPCR signaling complexes using negative-staining electron microscopy, Probing protein misfolding and dissociation with free electron laser, Optimized protocol for the characterization of Cas12a activities, Proximity proteomics for the identification and characterization of extracellular vesicles, Functional characterization of lytic polysaccharide monooxygenases (LPMOs), Characterization of RRE domain in RiPP biosynthesis, The Preparation of Recombinant Arginyltransferase 1 (ATE1) for Structural and Biophyiscal Characterizations, Testing anti-cancer drugs with Holographic Incoherent-light-source Quantitative Phase Imaging, and more.

Nanotechnology in Human Health: Current Research and Future Trends details the various challenges faced in human healthcare settings and how nanotechnology can be used to target and improve outcomes. The book describes the application of nanoparticles in the diagnosis of human diseases, including metabolic diseases, cancer, bacterial infection, organ degeneration and the various targeted, nano-based treatments available. Several chapters look at how microbial biofilms - a key clinical concern - can be mitigated using nanomaterials and nanotechnology. In addition, the book covers how different nanoparticle types can be utilized as therapeutic agents. This book combines materials science concepts and techniques with clinical insights and understanding to provide an interdisciplinary reference for materials scientists, microbiologists, biomedical engineers and clinicians with an interest in nanotechnology.

G Protein-Coupled Receptors, Part B, Volume 195 represents the largest class of cell H103 surface proteins that have intricate involvement in nearly every physiological process in our body. Approximately one third of the clinically prescribed medicines target GPCRs and the quest to improve the exiting GPCR-targeting therapeutics continues. Sections in this volume include Adhesion G protein-coupled receptors: Structure and functions, Molecular and cellular mechanisms underlying brain region-specific cannabinoid receptor modulation by estradiol across the rodent estrus cycle, Probing the orphan receptors: Tools and directions, Asymmetric activation of Class C GPCRs, Common and selective signal transduction mechanisms of GPCRs, and much more.

Integrated Methods in Protein Biochemistry: Part B, Volume 678 in the Methods in Enzymology series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of topics, including Precise modification of native proteins, purification, and analysis of bioconjugates, NanoBiT-based methods to monitor the activation and modulation of RTKs, The interplay of G-protein ss? subunit and PLC-ss enzyme in PIP2 hydrolysis and downstream signaling, Structure and function of bacterial secretion system, Tools and protocols for probing protein sumoylation, Spectroscopic analysis of cysteine dioxygenase: a mammalian thiol-dioxygenase, DeGlyPHER: MS-based analysis of viral spike N-glycoforms, and more. Additional sections cover Covalent protein painting: MS-based protein footprinting, Characterization of GPCR signaling complexes using negative-staining electron microscopy, Probing protein misfolding and dissociation with free electron laser, Optimized protocol for the characterization of Cas12a activities, Proximity proteomics for the identification and characterization of extracellular vesicles, Structural and Functional characterization of lytic polysaccharide monooxygenases, and much more.

Cellulose Fibre Reinforced Composites: Interface Engineering, Processing and Performance provides an up-to-date review of current research in cellulose fiber reinforced polymer composites. Key emphasis is placed on interface engineering, modern technologies needed for processing and materials performance in industrial applications. Novel techniques for interfacial adhesion, characterization and assessment of cellulose fiber reinforced composites are also discussed, along with current trends and future directions. With contributions from leading researchers in industry, academic, government and private research institutions from across the globe, the book will be an essential reference resource for all those working in the field of cellulose fibers and their composites.

Nanotechnology Applications for Food Safety and Quality Monitoring brings together nanotechnology science-based research for food safety and quality monitoring. With the advancement in knowledge about behavior of nano-engineered materials in food and its toxicity, the application of nanotechnology is expected to reach unprecedented levels in achieving food safety. Currently, there is no practical resource of nanotechnology as a tool specifically for monitoring safety and quality. This is a practical, concise, applications-based reference that is essential for food industry researchers and scientists to monitor the safety and quality of food to ensure quality food supplies.

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms.

Integrated Methods in Protein Biochemistry: Part A, Volume 677, the latest release in the Methods in Enzymology series, highlights new advances in the field with this new volume presenting interesting chapters on topics such as DNA and protein engineering to create protein bioswitches with new functions, Interaction and cross-talk of prelamin A with integral membrane zinc metalloproteases, An experimental protocol to study lipid transfer proteins, Synthesis of small heat shock proteins, Druggable p-p interacting sites for Co-chaperone DNAJA1 and its partner proteins, An experimental protocol for glycoconjugate analysis, Methods for proximity-based biotinylation combined with Mass Spectrometry, and more. Additional chapters cover Synthetic antibody fragments as conformational sensors of protein activation and trafficking, Expression, purification, functional analysis and crystallization of Rag GTPase, Purification of bacterial transcription elongation complexes by photoreversible immobilization, Inhibition of c-Myc-MAX heterodimerization, Fluorogenic RNA aptamers to probe transcription by multi-subunit RNA polymerases, and much more.

Biomolecular Interactions: Part A, Volume 169, the latest release in the Methods in Cell Biology series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Emerging Mechanisms of Targeted Protein Degradation by Molecular Glues, Design and use of programmable DNA Hydrogels, Oligomerization of membrane receptors: Approaches to measure in live cells, Interactions of alpha-synuclein with biomolecules, Gel-electrophoresis based method for biomolecular interaction, Recombinant centrosome expression in bacterial system, Reconstituting CCL5-CCR5 complex for structural and mechanistic analysis, Protein engineering and design in ion channel receptors, and much more.

Biomolecular Interactions: Part A, Volume 166, the latest release in the Methods in Cell Biology series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics in cell biology. Each chapter is written by an international board of authors.

Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time.

Climate Change and Crop Stress: Molecules to Ecosystems expounds on the transitional period where science has progressed to 'post-genomics' and the gene editing era, putting field performance of crops to the forefront and challenging the production of practical applicability vs. theoretical possibility. Researchers have concentrated efforts on the effects of environmental stress conditions such as drought, heat, salinity, cold, or pathogen infection which can have a devastating impact on plant growth and yield. Designed to deliver information to combat stress both in isolation and through simultaneous crop stresses, this edited compilation provides a comprehensive view on the challenges and impacts of simultaneous stresses.

Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks.

Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images.

Severe Accidents in Nuclear Reactors: Corium Retention Technologies and Insights presents an authoritative and practical analysis of the latest severe accident management strategies based on previous events and experiments. Written for utilities and industries operating and researching nuclear cooled reactor power plants, this book presents the exponential growth in research since major nuclear accidents and acts as a guide to retaining molten corium, both inside and outside the reactor vessel. Sections cover the physics behind several complex phenomena occurring during corium coolability, providing the reader with an in-depth understanding by presenting the insights obtained from simulated severe accidents. In addition, the book validates several severe accident codes and provides evidence on the termination of severe accident progressions to help the reader evaluate the safety of existing reactors and design the next generation of nuclear reactors.