This book presents selected articles from the 15th International Asian Urbanization Conference, held in Ho Chi Minh City, Vietnam, on November 27-30, 2019. Bringing together researchers and professionals in the area of urban planning and development to better understand the growing need for sustainable urban life, it covers topics such as climate change and urban resilience; inclusive and implementable urban governance; smart and green mobility; transformations in land management; livable and smart cities; integrated planning and development; urban slums and affordable housing; sustainable urban finance; and urban renewal and redevelopment.

The African agricultural and food market is expanding quickly as indicated by World Bank projections that show that the value of Africa’s agriculture and agribusiness industry is expected to more than triple to reach USD 1 trillion by 2030, compared to 2010 (World Bank, 2013). This provides an opportunity to not only boost trade in food and non-food agricultural commodities and services within the continent but also enhance food security in Africa. Regional integration is also gaining momentum as evidenced by progress in the creation of customs unions and the initial steps in setting up a common external tariff at the regional level in a number of regional economic communities (RECs) such as the East African Community (EAC) and the Economic Community of West African States (ECOWAS). The establishment of the African Continental Free Trade Area (AfCFTA) further reinforces the gains achieved in regional integration and opens new market opportunities for farmers and other economic operators.It has been shown that the export of higher value-added products made in Africa is greater in regional markets than in external markets outside Africa, which are typically dominated by raw material exports. However, more than a decade after the adoption of the Comprehensive Africa Agriculture Development Programme (CAADP) in Maputo in 2003 by the New Partnership for Africa’s Development (NEPAD) in response to the stagnation of African agriculture, Africa continues to remain a marginal player, accounting for only 2.7 percent of world trade in goods and 5 percent of world agricultural trade (Bouët and Odjo, 2019).These figures are likely to trend downwards significantly in the near term due to the economic shock caused by the onset of the COVID-19 pandemic in 2020. The continent currently depends to a significant degree on extra-African sources for imports of food and agricultural products. The share of intra-African agricultural trade has been consistently below 20 percent in recent decades (Bouët and Odjo, 2019; AGRA, 2019). Comparable figures for intraregional agricultural trade are higher for Asia and Europe (more than 60 percent).

Africa’s Development Dynamics uses lessons from Central, East, North, Southern and West Africa to develop policy recommendations and share good practices across the continent. Drawing on the most recent statistics, the analysis of development dynamics aims to assist African leaders in reaching the targets of the African Union’s Agenda 2063 at all levels: continental, regional, national and local.

This book reviews the knowledge, methods and available techniques in the rapidly advancing field of virus based vaccines and gene therapeutics. It also highlights new innovative tools and interdisciplinary techniques for bioprocess development and analytics of viruses and viral vectors. As such, it provides a timely and highly relevant resource, since current advances in pharmaceutical research have seen the rise of vaccines and advanced therapeutics and medicinal products (ATMPs), that rely on the power of viruses. However, developing bioprocesses and analytics required to create this often called “magic bullet” (i.e. gene therapy) remains an extremely challenging and costly task. This book offers strategies for overcoming hurdles and difficulties within in all the necessary steps of viral vector development - from scalability to purification methods and quality control. The book is intended for researchers working in academia or industry, as well as graduate students pursuing a career in virology.

Africa’s Development Dynamics uses lessons learned in the continent’s five regions – Central, East, North, Southern and West Africa – to develop policy recommendations and share good practices. Drawing on the most recent statistics, this analysis of development dynamics attempts to help African leaders reach the targets of the African Union’s Agenda 2063 at all levels: continental, regional, national and local.

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud. After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy. What You Will Learn Write machine learning algorithms in RustUse Rust libraries for different tasks in machine learningCreate concise Rust packages for your machine learning applicationsImplement NLP and computer vision in RustDeploy your code in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software engineers interested in building machine learning applications in Rust.

New Discoveries in the Behavioral Neuroscience of Attention Deficit Hyperactivity Disorder reviews the latest developments in preclinical and clinical research of Attention Deficit Hyperactivity Disorder. As well as updating key chapters that were included in an earlier edition, this volume includes some new topics that are attracting a great deal of interest and point the way to new and promising directions for future research. The chapters follow five main themes: Current perspectives on the clinical profile of ADHD and its treatment, common co-occurring conditions, neurobiological studies examining brain function and genetics, animal and in vitro studies, and future directions. This combination of topics emphasises the translational relevance and validity of preclinical research so as to enable a better understanding of ADHD and to highlight the promising strategies for developing new treatments.

The two-volume set LNCS 11992 and 11993 constitutes the thoroughly refereed proceedings of the 5th International MICCAI Brainlesion Workshop, BrainLes 2019, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge, as well as the tutorial session on Tools Allowing Clinical Translation of Image Computing Algorithms (TACTICAL). These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI, in Shenzhen, China, in October 2019. The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (12 selected papers from 32 submissions); brain tumor image segmentation (57 selected papers from 102 submissions); combined MRI and pathology brain tumor classification (4 selected papers from 5 submissions); tools allowing clinical translation of image computing algorithms (2 selected papers from 3 submissions.)