Bøker av Yuan Xu

The collective understanding of plant responses to abiotic stresses, including hypoxia, flooding, drought, cold, heat, salinity, and light variations, emphasizes the dynamic and complex nature of metabolic adaptations. Hypoxic stress, exemplified by low cellular oxygen due to events like flooding, triggers significant metabolic shifts in plants, as observed in Arabidopsis seedlings. These shifts are characterized by a substantial alteration in metabolites during the stress phase and a gradual return to baseline levels upon reoxygenation, highlighting the flexibility of plant metabolism. Similarly, an untargeted metabolomics approach revealed distinct metabolic responses across various abiotic stresses, including temperature and water deficits, with changes in central metabolism pathways such as amino acid and sugar metabolism, glycolysis, and the TCA cycle. These responses include both stress-specific and shared metabolic signatures, underscoring the importance of oxidative stress and the critical roles of protein and starch autolysis in early stress responses. Moreover, the application of metabolomics techniques offers insights into the rewiring of plant central metabolism under stress conditions, serving as a hub for maintaining metabolic and energy homeostasis. This comprehensive overview underscores the challenges and emerging insights in utilizing metabolomics to understand plant adaptation and resilience to abiotic stresses, highlighting the need for further research to elucidate the metabolic mechanisms underlying plant stress responses and recovery processes.

The world has been witnessing an accelerating momentum toward carbon neutrality, with almost all major countries onboard. The stakes are extremely high with over US$100 trillion in investments needed to achieve net zero emissions. This book delves into this intricate multi-trillion-dollar landscape of opportunities and challenges. The detailed, project-level examination in this book will provide direct insights for interested parties to position themselves.Focusing on the Guangdong-Hong Kong-Macau Greater Bay Area (GBA), home to 86 million people and a $1.7 trillion economy, the narrative unfolds against the backdrop of China's commitment to carbon neutrality by 2060, as well as their respective positions next to the rest of the world in the race to carbon neutrality. For the GBA and Hong Kong, carbon neutrality corresponds to nearly a US$1 trillion stake in energy infrastructures. This book meticulously dissects the trillion-dollar stake from the bottom-up.The energy sector is destined to experience fundamental changes in the coming decades; demand for a vast number of new infrastructures will only grow, while many existing, fossil-fuel infrastructures may become obsolete. Jobs, money, and regions are expected to shift dramatically with winners and losers. This book documents and analyzes individual projects, covering fossil-fuel, electric, and CO2 infrastructures. The impacts on existing infrastructures and the demand of future ones will be quantitatively examined to diagnose the stake in detail. Gaps will be evaluated and the necessary pace of changes in the next three decades will be sketched. The trillion-dollar stake will be discussed about its associated significant challenges and opportunities.Tailored for policy-makers, businesses, and decision-makers navigating the carbon-neutral landscape, this book is an invaluable resource for professionals, industry players, and academic courses addressing energy resources, climate change and CO2 mitigation.

The purpose of this monograph is to study the common zeroes of families of polynomials in several variables which are related to higher dimensional quadrature. It aims to introduce a new approach and use it to conduct a systematic study.

Presenting current results on analysis in weight spaces with reflection invariant weight functions, and analysis on balls and simplexes, this book covers distribution of points on the sphere, the reconstruction algorithm in computerized tomography and more.