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Polymer Matrix Wave-Transparent Composites One-stop reference on important recent research accomplishments in the field of polymer matrix wave-transparent composites Polymer Matrix Wave-Transparent Composites: Materials, Properties, and Applications is a unique book that focuses on polymer matrix wave-transparent composites for electromagnetic wave transmission of a certain frequency, discussing various aspects of design, fabrication, structure, properties, measurement methods, and mechanisms, along with practical applications of functional polymer composites in industrial fields ranging from aircraft radomes, to radomes for ground, shipborne, and airborne purposes, to radomes for 5G communi...
The International Conference on Industrial Engineering and Engineering Management is sponsored by the Chinese Industrial Engineering Institution, CMES, which is the only national-level academic society for Industrial Engineering. The conference is held annually as the major event in this arena. Being the largest and the most authoritative international academic conference held in China, it provides an academic platform for experts and entrepreneurs in the areas of international industrial engineering and management to exchange their research findings. Many experts in various fields from China and around the world gather together at the conference to review, exchange, summarize and promote th...
The AACR Annual Meeting highlights the best cancer science and medicine from institutions all over the world. Attendees are invited to stretch their boundaries, form collaborations, attend sessions outside their own areas of expertise, and learn how to apply exciting new concepts, tools, and techniques to their own research. Part A contains abstracts 1-3062 accepted for the 2017 meeting.
In the plant kingdom a variety of chemical constituents occur in a glycoside form (conjugation with sugar). Glycosides are important, secondary metabolites. The structural diversity is a result of the vast amount of varieties and stereochemical configurations of the sugar component. Aglycones belong to terpenoid, steroid, flavonoid, quinonoid, lignan, other simple phenolics, and isothiocyanate. However, biological activities of glycosides are, in many cases, susceptible to the nature of sugar moieties, even though their aglycone is the same.Since the 80s, plant glycosides have been attracting an increasing volume of interest from botanists and phytochemists world-wide for the following reaso...
Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. FEATURES: Provides the necessary background for newcomers to the field (both academics and interested practitioners) Presents a timely snapshot of explainable and interpretable models in ITS applications Discusses ethical, societal, and legal implications of adopting XAI in the context of ITS Identifies future research directions and open problems
Research on past knowledge, practices, personnel and institutions of Chinese health care has focussed on printed text for many decades. The Berlin collections of handwritten Chinese volumes on health and healing from the past 400 years provide a hitherto unprecedented access to a wide range of data. They extend the reach of medical historiography beyond the literature written by and for a small social elite to the reality of health care as practiced by private households, lay healers, pharmacists, professional doctors, magicians, itinerant healers and others. The nearly 900 volumes surveyed here for the first time demonstrate the heterogeneity of Chinese traditional healing. They evidence the continuation of millennia-old therapeutic approaches long discarded by the elite, and they show continuous adaptation to more recent trends.
This book constitutes the refereed proceedings of the International Conference on Applications and Techniques in Information Security, ATIS 2016, held in Cairns, Australia, October 2016. The 10 revised full papers and three short papers presented together with two invited talks were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on invited speeches; attacks on data security systems; detection of attacks on data security systems; data security; data privacy.
This book accentuates the anatomies involved in spine surgery techniques, from the base of the skull down to the sacrum and the sacroiliac joint. It includes extensive illustrations that cover all major spine surgeries. It also discusses the instrumentations used with different operative approaches. The book features high-resolution pictures of operative dissection, cadaveric specimens, and intraoperative imaging that clearly illustrate the relevant anatomy of various spine surgery procedures, allowing surgeons to “reconstruct” a three-dimensional anatomical view when performing the surgery. As such, it is a valuable reference resource for spine surgeons.
Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications...