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Malamu Vin, Unu la Alian (Originala romano en Esperanto)
A novel written originally in Esperanto, by Portuguese author Manuel de Seabra. --- Per tiu chi mozaika romano, Manuel de Seabra prezentas sian plej novan prozan verkon - retrorigardon al 72 jaroj de ofte aventura vivo, chefe en Portugalio, de 1932 ghis 2004. --- En formo de epizodoj el la propra vivo, de rakontetoj pri amikoj, priskriboj de politikaj eventoj kaj personoj, psikologiaj kuriozajhoj, realismaj kaj absurdaj prozajhetoj, la au'toro kunmetas, eron post ero, grandan bildon pri sia lando, sia vivo, kaj pri la pasinta jarcento en tiu eu'ropa angulo, kiu vivis de 1926 ghis 1974 sub armea kaj diktatora regado. --- Manuel de Seabra naskihgis en 1932, la jaro de la unua epizodo en chi libro. Li estas konata Esperanto-au'toro, verkinto de multaj originalaj prozajhoj, i.a. de la romanoj "La armeo de Paluzie" (1996), "La tago kiam Jesuo perfidis Judason" (2001) kaj "Chu vi konas Blaise Cendrars?" (2007). Li verkas ankau' en la portugala, la kataluna kaj aliaj lingvoj.
The Impact of Large Scale Near-IR Sky Surveys
After a year's successful operation, the European DENIS project is now a scientific reality and its close cousin 2MASS (USA) is about to come into operation. The observational and data reduction processes of both DENIS and 2MASS are fully described in this volume. Already the impact of DENIS is making itself felt in the astronomical community in areas of research as diverse as cosmology, the evolution of galaxies, the interstellar medium, the search for brown dwarfs, and stellar structure and evolution. The first routine results from DENIS and the preliminary results from the 2MASS prototype camera are discussed and compared with other surveys across the wavelength spectrum, both space- and ground-based, including the Digitized Sky Survey, ISO and ROSAT.
An Encyclopaedia of Trees and Shrubs
Reprint of the original, first published in 1869.
The Stardust Revolution
In 1957, as Americans obsessed over the launch of the Soviet Sputnik satellite, another less noticed space-based scientific revolution was taking off. That year, astrophysicists solved a centuries-old quest for the origins of the elements, from carbon to uranium. The answer they found wasn’t on Earth, but in the stars. Their research showed that we are literally stardust. The year also marked the first conference that considered the origin of life on Earth in an astrophysical context. It was the marriage of two of the seemingly strangest bedfellows—astronomy and biology—and a turning point that award-winning science author Jacob Berkowitz calls the Stardust Revolution. In this captivat...
The Physics of Star Formation and Early Stellar Evolution
The origin of stars is one of the principle mysteries of nature. During the last two decades advances in technology have enabled more progress to be made in the quest to understand stellar origins than at any other time in history. The study of star formation has developed into one of the most important branches of mod ern astrophysical research. A large body of observational data and a considerable literat ure now exist concerning this topic and a 1arge community of international astronomers and physicists devote their efforts attempting to decipher the secrets of stellar birth. Yet, the young astronomerjphysicist or more advanced researcher desiring to obtain a basic background in this are...
Extracting Insights from Digital Public Health Data using Artificial Intelligence, volume II
This Research Topic is a follow on from the Topic Editors' successful volume I. Artificial Intelligence (AI) has the ability to perform automated/case-based reasoning, constraint processing, deep learning, and deep reinforcement learning. Recent advancements in AI techniques and GPU (graphics processing unit) computing capabilities have made it possible to process large volumes of data and extract valuable insights within a short period. Digital public health data are enormous, and harnessing AI's power can lead to exciting and ground-breaking research. Due to the current COVID-19 pandemic, AI can assist in disease surveillance methods, infectious disease modeling, non-contact temperature screening, intelligent contact tracking, detecting social/economic factors on transmission, effective health communication and misinformation detection, identifying factors that affect the mental and emotional health of the public.
Proceedings of the Twenty Seventh General Assembly Rio de Janeiro 2009
A complete record of the formal organisational and administrative proceedings of the XXVII General Assembly of the International Astronomical Union.
