This book includes information on individual libraries. Special emphasis is given to listing the most important collections of each university, and to covering the major academic subject areas taught. It covers Western, Central and Eastern Europe, including republics of the former USSR that lie wholly within Europe, and spans from Greenland to Ukraine.
Russian Studies on Age associated Physiology Biochemistry and Morphology
Thorp and Covich's Freshwater Invertebrates: Keys to Palaearctic Fauna, Fourth Edition, is part of a multivolume series covering inland water invertebrates of the world that began with Vol. I: Ecology and General Biology (2015), then Vol. II (2016) Keys to Nearctic Fauna, and finally in Vol. III (2018) Keys to Neotropical Hexapoda (insects and springtails). It now continues with identification keys for Palearctic invertebrates in Vol. IV. Two other volumes currently in development focus on general invertebrates of the Neotropical/Antarctic, and Australasian Bioregions. Other volumes in the early planning stages include Afrotropical and Oriental/Oceanic Bioregions. All volumes are designed for multiple uses and levels of expertise by professionals in universities, government agencies and private companies, as well as by graduate and undergraduate students. Provides identification keys for inland water (fresh to saline) invertebrates of the Palearctic Zoogeographic Region, from Iceland to Russia, and from the northern Pole region to Saharan Africa in the west, through the Middle East, and to the central China and Japan in the east Presents identification keys for aquatic invertebrates to the genus or species level for many groups and to family for Hexapoda, with the keys progressing from higher to lower taxonomic levels Includes a general introduction and sections on limitations, terminology and morphology, material preparation and preservation and references
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants.
Author: Naukove tovarystvo im. Shevchenka. Matematichno-prirodopisno-likarsʹka sekt︠s︡ii︠a︡