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Describes the branch of astronomy in which processes in the universe are investigated with experimental methods employed in particle-physics experiments. After a historical introduction the basics of elementary particles, Explains particle interactions and the relevant detection techniques, while modern aspects of astroparticle physics are described in a chapter on cosmology. Provides an orientation in the field of astroparticle physics that many beginners might seek and appreciate because the underlying physics fundamentals are presented with little mathematics, and the results are illustrated by many diagrams. Readers have a chance to enter this field of astronomy with a book that closes the gap between expert and popular level.
Information technologies have evolved to an enabling science for natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Computing plays a significant role in every day practices of environmental engineers, natural scientists, economists, and social scientists. The complexity of natural phenomena requires interdisciplinary approaches, where computing science offers the infrastructure for environmental data collection and management, scientific simulations, decision support documentation and reporting. Ecology, environmental engineering and natural resource management comprise an excellent real-world testbed for IT syst...
The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.
This volume discusses entrepreneurship education in Europe on the basis of in-depth case studies of related activities at twenty higher education institutions. Based on a model of entrepreneurship education, the analysis addresses curricular and extra-curricular teaching, as well as the institutional and stakeholder context of delivering entrepreneurship education within higher educational institutions. The book offers both insightful entrepreneurship teaching practices and a discussion of potential organizational drivers and barriers. Accordingly, it provides a valuable resource for researchers, instructors, and managers of entrepreneurship education alike.
The study proposes and empirically validates an integrated model of leisure visitors’ destination brand associations that can guide destination marketing and branding activities for both, the brand identity and the consumer-based brand equity (CBBE) perspective. A ten-phase empirical research design is established and data is collected from a sample of German leisure visitors to the Balearic Island of Mallorca, Spain. Structural equation modeling (SEM) provides empirical evidence of construct validity and reveals strong support for the validity of the proposed structural theory of leisure visitors’ destination brand associations. Results also demonstrate that the structural model possesses excellent levels of predictive power and validity. Importantly, the model performs very well in the overall prediction of consumers’ destination brand attitudes and loyalty.
This book presents new concepts as well as practical applications and experiences in the field of information technology for environmental engineering. The book has three main focus areas: firstly, it shows how information technologies can be employed to support natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Secondly, it demonstrates the application of computing in the everyday practices of environmental engineers, natural scientists, economists and social scientists. And thirdly, it demonstrates how the complexity of natural phenomena can be approached using interdisciplinary methods, where computer science o...
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.
This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2023 which was held in Zaragoza, Spain, in June 2023, as part of the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s edition of the conference put a special emphasis on the theme of Cyber-Human Systems. A total of 25 papers was sent for peer review. 12 of these papers were invited from CAiSE and 13 have been directly submitted to the Forum. After a careful review and selection, 12 of the invited and 6 of the newly submitted papers have been accepted for publication.
This volume covers a number of areas of high energy astrophysics, focusing on the current status/understanding of the field, outstanding problems to be resolved and, in many cases, new experiments that will be providing some answers after the turn of the century. Featured are the following topics: high energy frontier, including the enigmatic observations of events beyond the cut-off energy; gamma ray bursts — local and cosmological models; high energy astrophysical neutrinos; cosmic ray matter and antimatter; solar system astrophysics; and galactic physics. The discussion is suitable for the nonexpert and expert alike.