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Biomarkers and Immunotherapy of Hepatic-Biliary-Pancreatic Cancers
Hepatic-biliary-pancreatic cancers, mainly including hepatocellular carcinoma, cholangiocarcinoma, gallbladder cancer, are highly aggressive malignancies with few treatment options and poor prognoses. Effects of the traditional systemic treatments such as chemotherapy and radiotherapy, are quite limited to hepatic-biliary-pancreatic cancers. For the patients who suffer from hepatic-biliary-pancreatic cancer and lose the opportunity of radical surgery, few targeted drugs are available. Even for the drugs in clinical trial, potential drug targets and prognostic biomarkers for hepatic-biliary-pancreatic cancer are less studied compared to other common cancers such as lung cancer. Prognostic bio...
Precise Diagnosis, Functional Mechanisms, and Therapeutic Potentials in Gastrointestinal Cancers, volume II
Significant changes in diet, environment, and population increase gastrointestinal cancer morbidity. A growing number of studies on precise diagnosis and underlying mechanisms are being elucidated, some of which may even conflict with assumptions of past decades. Therefore, collecting recent findings on novel diagnoses and/or risk factors in gastrointestinal cancers is a prerequisite for a better understanding of the disease. Despite remarkable progressions in surgical treatments and chemotherapies, the prognosis of gastrointestinal cancer is far from satisfactory due to the high occurrence of drug resistance. Based on the identification of novel biomarkers as well as their underlying mechanisms, targeted drug development will provide significant complementary therapeutic effects to conventional chemoradiotherapies. High-throughput methods such as next-generation sequencing on RNA level and mass spectrometry on protein/lipid/metabolite level serve as efficient strategies for biomarker identification and drug development.
International Conference on Neural Computing for Advanced Applications
The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023. The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven...
PLA Influence on China's National Security Policymaking
In recent years there have been reports of actions purportedly taken by People's Liberation Army (PLA) units without civilian authorization, and of Chinese Communist Party (CCP) civilian leaders seeking to curry favor with the military—suggesting that a nationalistic and increasingly influential PLA is driving more assertive Chinese policies on a range of military and sovereignty issues. To many experienced PLA watchers, however, the PLA remains a "party-army" that is responsive to orders from the CCP. PLA Influence on China's National Security Policymaking seeks to assess the "real" relationship between the PLA and its civilian masters by moving beyond media and pundit speculation to moun...
Handbook on Energy and Economic Growth
This comprehensive Handbook examines the links between energy, the economy, and the environment. Esteemed international experts explore the ways in which energy contributes to economic growth, particularly in the context of geopolitical uncertainties.
Photovoltaic Partial Shading
This text comprehensively discusses the modeling of photovoltaic (PV) modules, PV array interconnections, multi-level inverters, distributed maximum power point tracking techniques, and static and dynamic PV array reconfiguration techniques. It gives a step-by-step procedure for hardware validation of the partial shading mitigation techniques. This book: Focuses on the impacts and mitigation techniques related to partial shading problems associated with PV systems. Presents a step-by-step guide for addressing partial shading problems in PV systems. Covers methods like array reconfiguration through Tom-Tom puzzle pattern and Arrow Sudoku pattern. Presents hardware validation of the partial shading mitigation techniques. Elaborates static and moving shading conditions in a detailed manner. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, environmental engineering, and renewable energy.
Data Science and Big Data: An Environment of Computational Intelligence
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and buildi...
