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Efficient Nitrogen Fertilizer Management to Improve Crop Production
The improvement in global crop production over the past several decades has been associated with increased use of nitrogen (N) fertilizer. However, on average, less than 50% of the nitrogen added to croplands globally is harvested as crop product. Inefficient use of N fertilizer by crops will result in substantial agricultural nitrogen losses, posing threats to human and ecosystem health. Crop production must increase dramatically to meet the growing demand for food and biofuels projected for 2050. To boost crop yield with lowered environmental cost, the use of high-potential crop cultivars and efficient nitrogen fertilizer management are required. Recent advances in N management practices, such as enhanced-efficiency fertilizer use, improved manure management and machine deep placement of fertilizer have opened up new strategies to achieve improved crop production with N use reduction. A better understanding of the key crop traits and regulatory processes in response to N fertilizer managements will facilitate the increase in crop yield, N use efficiency while minimizing impacts on the environment.
Neural Information Processing
The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.
China and her biographical dimensions
Das Buch ist dem Andenken des 1999 verstorbenen renommierten Bochumer Sinologen Helmut Martin gewidmet. Namhafte Chinawissenschaftler aus der ganzen Welt spannen in ihren Beitragen einen Bogen, der das umfangreiche ?uvre der wissenschaftlichen Arbeit Helmut Martins widerspiegelt. Nach einer personlich gehaltenen Einfuhrung zu Leben und Werk Helmut Martins konzentriert sich der Themenschwerpunkt des Bandes auf (auto-)biographische Fragestellungen in Literatur, Wissenschaft, Politik und Wirtschaft des traditionellen und des modernen Chinas. Die chinesische und taiwanesische Literatur des 20. Jahrhunderts sind hierbei besonders ins Blickfeld geruckt. Aber auch zu linguistischen Fragestellungen und den Themen Ubersetzung, Chinarezeption und -perzeption sind eine Reihe wichtiger Aufsatze enthalten. Im Anhang des Buches findet sich ein Gesamtverzeichnis der Schriften von und uber Helmut Martin.
Vehicle and Automotive Engineering 4
This book presents the selected proceedings of the (third) fourth Vehicle and Automotive Engineering conference, reflecting the outcomes of theoretical and practical studies and outlining future development trends in a broad field of automotive research. The conference’s main themes included design, manufacturing, economic and educational topics.
Intelligent Computing Theories and Methodologies
This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differe...
Real-World Data and Real-World Evidence in Lung Cancer
Lung cancer is still one of the most common malignancies with a high global mortality rate with over 2 million cases confirmed by the World Health Organization in 2018. Although there has been progress in diagnosing and treating lung cancer, patients still have poor prognosis with a 5-year survival rate typically from 4-17% which is dependent on the stage of the cancer and regional differences. The majority of lung cancer patients are at the advanced stages of the disease at the time of their diagnosis and therefore, have less chances of early treatment that could have improved their survival rate. Therefore, early detection of lung cancer remains imperative to improve the prognosis.
Neurobiology of Attention
A key property of neural processing in higher mammals is the ability to focus resources by selectively directing attention to relevant perceptions, thoughts or actions. Research into attention has grown rapidly over the past two decades, as new techniques have become available to study higher brain function in humans, non-human primates, and other mammals. Neurobiology of Attention is the first encyclopedic volume to summarize the latest developments in attention research.An authoritative collection of over 100 chapters organized into thematic sections provides both broad coverage and access to focused, up-to-date research findings. This book presents a state-of-the-art multidisciplinary per...
Bioinformatics Research and Applications
This book constitutes the proceedings of the 14th International Conference on Bioinformatics Research and Applications, ISBRA 2018, held in Beijing, China, in June 2018. The 24 full and 10 short papers presented in this volume were carefully reviewed and selected from a total of 138 submissions. They were organized in topical sections named: network analysis and modelling; genomic data analysis; cancer data analysis; structure and interaction; HPC and CryoEM; machine and deep learning; data analysis and methodology; analysis and visualization tools; and RNA-Seq data analysis.
The Rise of Tea Culture in China
This distinctive and enlightening book explores the invention and development of tea drinking in China, using tea culture to explore the profound question of how Chinese have traditionally expressed individuality. Western stereotypes portray a culture that values conformity and denigrates the individual, but Bret Hinsch convincingly explodes this facile myth. He argues that although Chinese embrace a communitarian ethos and assume that the individual can only thrive within a healthy community, they have also long respected people with unique traits and superior achievements. Hinsch traces how emperors, scholars, poets, and merchants all used tea connoisseurship to publicly demonstrate superior discernment, gaining admiration by displaying individuality. Acknowledging central differences with Western norms, Hinsch shows how personal distinction nevertheless constitutes an important aspect of Chinese society. By linking tea to individualism, his deeply researched book makes an original and influential contribution to the history of Chinese culture.
