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Evolution and Eschatology
The genome revolution of the last twenty years has changed biology forever. It has provided stunning insights into the evolution of species (such as ours) and the development of new functional capabilities (such as placenta, brain, and immune networks). We are learning how genes make a human animal―but that loving relationships with others are required to make a human person. Random mutations, filtered by directing order, underlie evolutionary development, but also cause diseases such as cancer. We are wont to question God when faced with devastating natural and moral evils. But deeply embedded in the biblical story we encounter a Creator who has always purposed to deal with the evils of a freely operating world by extirpating them through Jesus of Nazareth, who is God incarnate.
Novel Biomarkers for Potential Clinical Applications in Lung Cancer
More and more medical centers are now combining high-resolution CT scans well with deep learning and artificial intelligence for lung cancer screening, resulting in significantly improved diagnostic sensitivity. Furthermore, the increased molecular alterations in lung cancer were demonstrated not only in tumor tissue, but also in other body organs. For example, circulating tumor DNA combined with next-generation sequencing is now becoming a popular method for lung cancer diagnosis and therapeutic monitoring. Therefore, the first focus of this topic is on such achievements in early diagnosis of lung cancer, especially non-invasive tests such as liquid biopsy.
Spike-timing dependent plasticity
Hebb's postulate provided a crucial framework to understand synaptic alterations underlying learning and memory. Hebb's theory proposed that neurons that fire together, also wire together, which provided the logical framework for the strengthening of synapses. Weakening of synapses was however addressed by "not being strengthened", and it was only later that the active decrease of synaptic strength was introduced through the discovery of long-term depression caused by low frequency stimulation of the presynaptic neuron. In 1994, it was found that the precise relative timing of pre and postynaptic spikes determined not only the magnitude, but also the direction of synaptic alterations when tw...
My View on Reading
One of China’s top education scholars, Zhu Yongxin provides never-before-tried methods for promoting literacy throughout China As China steps up to power in a modern world, creating a literate population is critical. In My View on Reading Zhu Yongxin provides an expert’s view of why it is so important and offers actionable steps for making it happen. The book explores all the key issues, including the spiritual development of both an individual and a nation; the power of co-reading and co-writing; and the positive changes literacy creates throughout society. Zhu Yongxin is a member of National People's Congress Standing Committee, vice chairman of Association for Promoting Democracy (CAPD), and vice president of Chinese Society of Education (CSE). He also works as a professor and PhD supervisor in Suzhou University.
The Evaluation of Research by Scientometric Indicators
Aimed at academics, academic managers and administrators, professionals in scientometrics, information scientists and science policy makers at all levels. This book reviews the principles, methods and indicators of scientometric evaluation of information processes in science and assessment of the publication activity of individuals, teams, institutes and countries. It provides scientists, science officers, librarians and students with basic and advanced knowledge on evaluative scientometrics. Especially great stress is laid on the methods applicable in practice and on the clarification of quantitative aspects of impact of scientific publications measured by citation indicators. - Written by a highly knowledgeable and well-respected scientist in the field - Provides practical and realistic quantitative methods for evaluating scientific publication activities of individuals, teams, countries and journals - Gives standardized descriptions and classification of the main categories of evaluative scientometrics
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
Hands-On Meta Learning with Python
Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key FeaturesUnderstand the foundations of meta learning algorithmsExplore practical examples to explore various one-shot learning algorithms with its applications in TensorFlowMaster state of the art meta learning algorithms like MAML, reptile, meta SGDBook Description Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster. Hands-On Meta Learning with Python starts by explaining th...
Intelligent Robotics and Applications
The three volume set LNAI 7506, LNAI 7507 and LNAI 7508 constitutes the refereed proceedings of the 5th International Conference on Intelligent Robotics and Applications, ICIRA 2012, held in Montreal, Canada, in October 2012. The 197 revised full papers presented were thoroughly reviewed and selected from 271 submissions. They present the state-of-the-art developments in robotics, automation and mechatronics. This volume covers the topics of adaptive control systems; automotive systems; estimation and identification; intelligent visual systems; application of differential geometry in robotic mechanisms; unmanned systems technologies and applications; new development on health management, fault diagnosis, and fault-tolerant control; biomechatronics; intelligent control of mechanical and mechatronic systems.
