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ISFRAM 2014
This book highlights research in flood related areas and sustainable management conducted by researchers around the world, compiling their innovative work in order to share best practices for managing floods and recommended flood solutions. The individual papers cover the fundamentals and latest advances in the areas of flood research and management, providing in-depth coverage complemented by illustrations, diagrams and tables. The book offers a valuable source of information on methods and state-of-the art technology for effective flood management.
Metal-Organic Framework Composites
Because of their nanoporous structures and ultra-high surface areas Metal-Organic Framework Composites (MOFs) are very interesting materials. The book focusses on the following applications: gas capture and storage, especially molecular hydrogen storage; performance enhancement of Li-ion batteries; gas separation, nano-filtration, ionic sieving, water treatment, and catalysis; sustainable renewable energy resources, electrochemical capacitors, including supercapacitors, asymmetric supercapacitors and hybrid supercapacitors; biomedical disciplines including drug delivery, theranostics; biological detection and imaging; nanoparticle photosensitizers for photodynamic therapy (PDT) and photothermal therapy (PTT).
Handbook of Neurotoxicity
This handbook is a reference source for identifying, characterizing, instructing on use, and describing outcomes of neurotoxin treatments – to understand mechanisms associated with toxin use; to project outcomes of neurotoxin treatments; to gauge neurotoxins as predictors of events leading to neurodegenerative disorders and as aids to rational use of neurotoxins to model disease entities. Neuroprotection is approached in different manners including those 1) afforded by therapeutic agents – clinical and preclinical; or 2) by non-drug means, such as exercise. The amorphous term ‘neurotoxin’ is discussed in terms of the possible eventuality of a neuroprotectant producing an outcome of e...
Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases
This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.
Genetic Engineering of Vegetable Crops
Conventional plant breeding alone can no longer sustain the rising global demand for food. Genetic engineering technology makes it possible to develop new crop varieties with improved yield performance, specific quality attributes (external and internal in vegetable crops), resistance to diseases and insect pests, and environmental stresses. Genetic engineering technology for developing GM crops is complementary to genome editing and other breeding technologies. In addition to food requirements, transgenic crops have the possibility to carry edible vaccines and therapeutic proteins, to help combat human disease and malnutrition. This book reviews the importance and safety of transgenic vegetable crops and covers a wide variety of crops and different technologies. This book is suitable for researchers in horticulture, plant science, and agricultural biotechnology as well as practitioners in vegetable breeding and seed production.
Nanotechnology and In Silico Tools
Nanotechnology and In Silico Tools: Natural Remedies and Drug Discovery provides the latest information and updates in the area of drug discovery. It covers aspects like nanomedicines, bioinformatics, molecular docking, molecular modeling, QSAR, virtual screening and computational chemistry as well as metabolomics research using various tools. The drug discovery process accelerates the design of new leads for various life-threatening diseases and natural medicines. Silico tools have been an integral part of the drug discovery process, playing a major role as a template for drug discovery and offering a holistic approach to better management of various diseases. Nanotechnology and In Silico Tools: Natural Remedies and Drug Discovery combines the principles of natural medicines with refined modern technology to help chemists in the development of a more ecofriendly, and effective discovery process. - Combines principles of natural medicines with refined modern technology - Provides the latest updates on drug discovery - Covers technologies for synthetic products that can be applied for the investigation of plant-derived natural remedies
Proceedings of the International Conference on Cognitive and Intelligent Computing
This book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algor...
PET Imaging of Lymphoma, An Issue of PET Clinics
This issue provides a complete update on PET imaging of lymphoma, starting with a clinical assessment of lymphoma and the role of medical imaging. The role of structural imaging in lymphoma is then discussed. From a Nuclear Medicine perspective, FDG-PET in lymphoma is reviewed, as is the role of FDG-PET in pediatric lymphoma. Next, the role of non-FDG tracers in lymphoma is reviewed. Other articles cover the role of fMRI and optical imaging in lymphoma, the role of diffusion-weighted MRI in lymphoma, FDG-PET in personalization of therapy in patients with lymphoma, and PET and radiation oncology in lymphoma.
Organic Reaction Mechanisms 1983
The only book series to summarize the latest progress on organic reaction mechanisms, Organic Reaction Mechanisms, 1983 surveys the development in understanding of the main classes of organic reaction mechanisms reported in the primary scientific literature in 1983. The 19th annual volume in this highly successful series highlights mechanisms of stereo-specific reactions. Reviews are compiled by a team of experienced editors and authors, allowing advanced undergraduates, graduate students, postdocs, and chemists to rely on the volume's continuing quality of selection and presentation.
