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Stem Cell-based Biosystems
Stem cell science has emerged as a novel discipline in biomedical research over the past decade. With advancements in this field, stem cells have demonstrated versatile applications ranging from basic research to clinical case studies. Recognizing the demand for knowledge in stem cell applications, this book aims to provide comprehensive information on stem cell technology and its application in biosystems. It covers fundamental culture methods, advanced stem cell-based biosystems, and clinical case studies of stem cell therapy. This book is intended for individuals with an interest in stem cell science, offering valuable insights into this rapidly evolving field.
Fabrication and Applications of Biomass-Derived Porous Carbon
This book systematically introduces the fundamentals, preparation technology, state-of-the-art applications, and future development of biomass-derived porous carbon materials. The authors provide a theoretical foundation that demonstrates the microstructure and physicochemical properties of carbon materials. The fabrication methods, including physical activation methods, chemical activation methods, and advances in other new fabrication methods are explicitly described. The book also identifies many potential applications of biomass (especially biomass-derived porous carbon materials), such as supercapacitors, removal of organic pollutants from water, CO2 capture, photocatalytic application, and farmland restoration. The book will be a valuable resource for researchers, scientists, and engineers working in the field of biomass-derived porous carbon materials, carbon resource development, and environmental protection.
Advances in Sustainable Materials
Advances in Sustainable Materials: Fundamentals, Modelling and Characterization provides a comprehensive review of recent technological developments and research accomplishments in this important field.The chapters cover characterization techniques, modeling of sustainable materials, the role of artificial intelligence, Industry 4.0, nature-inspired algorithms, and optimization possibilities. Various computational and simulation approaches for maintaining the sustainability of materials are also covered in detail. In addition to the above, various case studies are also included on the application of sustainable materials in medical, environmental, production, mechanical, and civil engineerin...
Emerging Drug Delivery and Biomedical Engineering Technologies
This book details the advances in drug discovery and delivery and the present need for emerging technologies. Throughout the text new micro and nanofabrication techniques are described, including methods such as electrohydrodynamic processes, additive manufacturing, and microfluidics, which have the potential to produce drug delivery systems that were not possible a few years ago. This book is of great use to both entry-level and experienced researchers in the field of emerging technologies for the manufacturing of drug delivery devices. Features: Describes technologies that are significantly enhancing the delivery of drugs and biologics Presents new data on mobile and wearable point-of-care testing systems Features hot topics such as electrospinning, 3D printing and micro-needles Focuses on additive manufacturing (AM) which can be used to provide customized treatment for patients Will appeal to experienced researchers and those considering entering the field of emerging technologies for the manufacturing of drug delivery devises
Computer Vision – ECCV 2020
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
