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There is a sea of people on the Qianshan Square of Shuijianzong, and the crowds are surging. Not only the three generations of disciples from the outer court of Jianzong come here to watch the triennial advanced conference, but also the children under the age of ten who have just started their studies in Lian Gang
Over the last decade, our understanding of metabolism in the context of cancer has evolved greatly. It is now evident that altered cellular metabolism is an integral effector of tumorigenesis that is intricately intertwined with cell signaling as well as genetic and epigenetic regulation of diverse tumor programs. Recognizing the dysregulation of cellular metabolism as an important aspect of tumor function has offered new potential direction to seek clinical benefit by providing targets for the development of novel therapeutics. To-date, several small molecule inhibitors that target tumor or immune cell metabolism are being explored in active clinical trials as either preventive, stand-alone, or adjuvant therapies for various malignancies. Thus, identifying critical metabolic vulnerabilities in pre-neoplastic cells, cancer cells, and immune cells has direct and timely relevance for developing additional treatment and preventative strategies against cancer.
This book analyzes the decrease in labor share in China, which is a ratio of national income distribution to capital at three different levels (macro, meso, and micro) and from three different perspectives (growth, transition and opening up). The worsening income distribution has been a key issue for both Chinese and global economies in recent decades. The book shows that the decrease in labor share is closely related to economic growth, increasing extent of globalization, and firms with heterogeneous characteristics. Moreover, the book explains income inequality in detail, focusing on China’s increasingly important and emerging economy.
Large databases are created by genomics for the discovery, study, and development of novel treatments all around the world. It's not hard to conceive that artificial intelligence (AI) might currently study the 3 billion base pairs that make up humanoid genetic makeup in order to uncover genetic disparities among the population. By 2026, large pharmaceutical companies hope to have researched up to 2 million genomes and analyzed massive amounts of patient data from clinical drug studies. As new equipment is introduced, AI will be employed in genomics for a variety of omics investigations, including transcriptomics. To aid in the classification of potentially clinically significant genes, AI is...
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This book constitutes the refereed proceedings of the 9thInternational Conference on Cloud Computing, CloudComp 2019, and the 4th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019, both held in Beijing, China, in December 2019. The55 full papers of both conferences were selected from 113 submissions. CloudComp 2019 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. The papers are grouped thematically in tracks on cloud architecture and scheduling; cloud-based data analytics; cloud applications; and cloud security and privacy. SmartGIFT 2019 focus on all aspects of smart grids and telecommunications, broadly understood as the renewable generation and distributed energy resources integration, computational intelligence applications, information and communication technologies.
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