Chun Li – författare

Numerical Modelling of Offshore Wind Energy Systems, the latest release in Elsevier's Wind Energy Engineering series, is a thorough, systematic guide to numerical modeling and code development in the offshore wind energy field. The book begins by introducing offshore wind energy and reviewing widely-used numerical simulation tools and the fundamental knowledge essential for performing fully coupled analysis of offshore wind turbines. The second part of the book focuses on numerical modeling techniques for fixed-bottom turbines followed by detailed coverage of floating turbines. In both cases, in-depth case studies are presented to help readers understand the dynamic behavior of the relevant systems.The final section of the book explores numerical modelling techniques as applied to novel concepts and future trends, including twin-rotor wind energy systems, integration with marine energy resources, multi-energy hybrid floating systems, and other areas. This latest volume will be of interest to all those involved in the design, development, and installation of offshore wind turbines, floating energy systems, and wave-wind-current hybrid systems, including researchers, students, engineers, and other practitioners.Compiles, in a single resource, the most common numerical simulation tools, codes, and models used to determine complex dynamic loadsAddresses design principles of fixed-bottom wind turbines, floating wind energy systems, and hybrid technologiesProvides specific case studies based on the authors’ extensive research and practical experience

Cost-effective strategies for designing novel drug delivery systems that target a broad range of disease conditionsIn vivo imaging has become an important tool for the development of new drug delivery systems, shedding new light on the pharmacokinetics, biodistribution, bioavailability, local concentration, and clearance of drug substances for the treatment of human disease, most notably cancer. Written by a team of international experts, this book examines the use of quantitative imaging techniques in designing and evaluating novel drug delivery systems and applications.Drug Delivery Applications of Noninvasive Imaging offers a full arsenal of tested and proven methods, practices and guidance, enabling readers to overcome the many challenges in creating successful new drug delivery systems. The book begins with an introduction to molecular imaging. Next, it covers: In vivo imaging techniques and quantitative analysisImaging drugs and drug carriers at the site of action, including low-molecular weight radiopharmaceuticals, peptides and proteins, siRNA, cells, and nanoparticlesApplications of imaging techniques in administration routes other than intravenous injection, such as pulmonary and oral deliveryTranslational research leading to clinical applicationsImaging drug delivery in large animal modelsClinical applications of imaging techniques to guide drug development and drug deliveryChapters are based on a thorough review of the current literature as well as the authors' firsthand experience working with imaging techniques for the development of novel drug delivery systems.Presenting state-of-the-technology applications of imaging in preclinical and clinical evaluation of drug delivery systems, Drug Delivery Applications of Noninvasive Imaging offers cost-effective strategies to pharmaceutical researchers and students for developing drug delivery systems that accurately target a broad range of disease conditions.

The book mainly describes the QTL mappings and efficacy analyses that are associated with wheat productivity, quality, physiology and various stress resistances and provides summaries of results from studies conducted both at home and abroad. It presents comparable data and analyses, helping readers to arrive at a more comprehensive understanding of the latest development in this field. The book provides a wealth of novel information, broad range of applications and in-depth findings on crop genetics and molecular breeding, making it valuable not only for plant breeders but also for academic faculties, senior researchers and advanced graduate students who are involved in plant breeding and genetics. Dr. Jichun Tian is a professor at the Department of Agronomy, Shandong Agricultural University, Tai’an, China.