This paper aims to retrieve the ghost streams under the pre-assumption that all the globular clusters in our Galaxy were formed in the very early merge events. The results are based on two speculations: that the specific energy and angular momentum of the globular clusters after merge are not changed in process of evolution and that the globular clusters with common origin would stay in the sam...

Ulysses magnetic field observations in the polar heliosphere have revealed the presence of a population of turbulent fluctuations on small scales with a power spectral index near 5/3 and its extension to progressively larger scales with solar distance. Using the spectral index – calculated from the second order structure function – as a tracer of the turbulent nature of the fluctuations, the ra...

Urban development is the most common form of land conversion in the United States. Using a before-after control-impact study design, we investigated the effects of urbanization on larval and adult stages of southern two-lined salamanders (Eurycea cirrigera) and northern dusky salamanders (Desmognathus fuscus). Over 5 years, we estimated changes in occupancy and probabilities of colonization and...

In the last two decades, machine learning research and practice has focused on batch learning usually with small datasets. In batch learning, the whole training data is available to the algorithm that outputs a decision model after processing the data eventually (or most of the times) multiple times. The rationale behind this practice is that examples are generated at random accordingly to some...

Data streams appear in many recent applications, where data are constantly changing or take the form of continuously arriving streams. We focus on data streams generated by sensors for monitoring users in immersive environments. To recognize users' interactions, we need to analyze the aggregation of several sensor data streams and match the result to a set of known actions. In addition, we need...

Learning from streams is a process in which a group of learners separately obtain information about the target to be learned, but they can communicate with each other in order to learn the target. We are interested in machine models for learning from streams and study its learning power (as measured by the collection of learnable classes). We study how the power of learning from streams depends...

There are a variety of approaches to removing gaseous pollutants from effluent streams: absorption, adsorption, condensation, chemical reaction, incineration, and selective diffusion through a membrane. Absorption is an operation involving mass transfer of a soluble vapor component to a solvent liquid in a device that promotes intimate contact between the gas and the liquid. The driving force f...