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Evolution of Gene Regulatory Networks in Plant Development
During their life cycle plants undergo a wide variety of morphological and developmental changes. Impinging these developmental processes there is a layer of gene, protein and metabolic networks that are responsible for the initiation of the correct developmental transitions at the right time of the year to ensure plant life success. New omic technologies are allowing the acquisition of massive amount of data to develop holistic and integrative analysis to understand complex processes. Among them, Microarray, Next-generation Sequencing (NGS) and Proteomics are providing enormous amount of data from different plant species and developmental stages, thus allowing the analysis of gene networks ...
Transfer Learning
Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.
Genetic advancements for improving the plant tolerance to biotic and abiotic stresses
Crop plants are constantly exposed to multiple abiotic (such as drought, salinity, cold, flooding, heavy metal, and heat) and/or biotic (bacterial/fungal/viral) stress factors that hinder their growth and development, subsequently leading to decreases in quality and yield. During the last two decades, many classical genetic and breeding approaches have been used to develop stress-tolerant and climate-adaptable plants that can provide a better yield to meet food demands. Climate change poses a major risk to food security as the world faces frequent floods, droughts, heat waves, and the emergence of new invasive pests and diseases. Novel genomic and genetic approaches look promising to improve...
Mathematical Reviews
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Literary Communication in Song Dynasty
Based on first-hand historical materials, this book explores the various aspects of literary communication during the Song Dynasty in China. The book investigates the single-channel dissemination of poetry and ci works, the dissemination of literary collections, the dissemination through wall inscriptions, the oral dissemination of Song ci, the remuneration and commercialization of literature in the Song Dynasty, the paths to fame for Song writers, the non-literary factors in the dissemination of literature and the dissemination of literary works through paintings and songs. The author provides insights into the six major questions in the study of literary communication: Who disseminates, where, how, what, to whom and the effects of dissemination. The author also seeks to provide detailed answers to the following questions. What was the role of female singers in both domestic and official entertainment? What were the costs and prices of the books? Who paid the authors? What methods did writers use to gain fame and social recognition? This work will be essential reading for scholars and students of Chinese studies, communication studies and media and cultural studies.
