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Agricultural Nitrogen Use and Its Environmental Implications
Nitrogen fertilizers are the inescapable necessity to enhance agricultural production and to sustain food security. However, their inefficient use accrues from inherent limitations of the crop plants as well as the manner in which N fertilizers are formulated, applied and managed. Excessive accumulation of N in the environment leads to soil acidification, pollution of groundwater and eutrophication of surface water, posing a public health problem as well as ecosystem imbalance. Moreover, the ozone layer depletion and greenhouse effects of NOx gases have global implications. Agricultural Nitrogen Use: Environmental Implications provides a comprehensive, interdisciplinary description of proble...
Pandas and People
Understanding the complex relationships between humans and the natural world is essential for achieving environmental sustainability and improving human well-being, yet many studies are unable to reveal complex interactions and hidden trends. This is the first book to synthesize the findings and approaches of long-term integrated research in a model coupled human and natural system, and to illustrate their applications to regional, national, and global scales. It features a classic long-term interdisciplinary research project in the Wolong Nature Reserve of China, which contains one of the largest wild populations of the world-famous endangered giant pandas. Bringing together a team of contr...
Spike-based learning application for neuromorphic engineering
Spiking Neural Networks (SNN) closely imitate biological networks. Information processing occurs in both spatial and temporal manner, making SNN extremely interesting for the pertinent mimicking of the biological brain. Biological brains code and transmit the sensory information in the form of spikes that capture the spatial and temporal information of the environment with amazing precision. This information is processed in an asynchronous way by the neural layer performing recognition of complex spatio-temporal patterns with sub-milliseconds delay and at with a power budget in the order of 20W. The efficient spike coding mechanism and the asynchronous and sparse processing and communication of spikes seems to be key in the energy efficiency and high-speed computation capabilities of biological brains. SNN low-power and event-based computation make them more attractive when compared to other artificial neural networks (ANN).
Challenges and Opportunities in Industrial and Mechanical Engineering: A Progressive Research Outlook
Present time Industry 4.0 is the need of all industries because it connects industries to AI, high productivity, safety, and flexibility, ensures the 100% utilization of resources across diverse manufacturing systems, and could accelerate normal manufacturing systems to advanced manufacturing systems by using robotics, additive manufacturing, and many more. In this book, the collection of selected papers is constituted from the International Conference on Progressive Research in Industrial & Mechanical Engineering (PRIME 2021), which was at the National Institute of Technology (NIT), Patna, India from August 5 to 7, 2021. This conference brings together all academic people, industry experts,...
Protein Solubility and Aggregation in Bacteria
Proteins suffer many conformational changes and interactions through their life, from their synthesis at ribosomes to their controlled degradation. Only folded and soluble proteins are functional. Thus, protein folding and solubility are controlled genetically, transcriptionally, and at the protein sequence level. In addition, a well-conserved cellular machinery assists the folding of polypeptides to avoid misfolding and ensure the attainment of soluble and functional structures. When these redundant protective strategies are overcome, misfolded proteins are recruited into aggregates. Recombinant protein production is an essential tool for the biotechnology industry and also supports expandi...
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Indian Food Industry
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