New results obtain with the compositional technique for hand posture recognition is presented. Compositional methods are a powerful approach in image understanding. Most papers using this concept address image categorization problems. We recently propose a hand pose recognition method using the compositional approach. In this paper we present further development of our method and new results. K...

The purpose of this paper is to examine and compare multi-channel compositional practices in the scope of electroacoustic music and discuss arising issues regarding compositional methodology, rationale, performance and dissemination of multi-channel works with examples drawn from the author’s compositional output. The paper describes principal theories of musical space and draws parallels betwe...

Classical approaches to investigating temporal and spatial changes in community composition offer only partial insight into the ecology that drives species distribution, community patterns and processes, whereas a functional approach can help to determine many of the underlying mechanisms that drive such patterns. Here, we aim to bring these two approaches together to understand such drivers, u...

Understanding how and why biological communities are organized over space and time is a major challenge and can aid biodiversity conservation in times of global changes. Herein, spatial-temporal variation in the structure of velvet ant communities was examined along a forest-savanna gradient in the Brazilian Cerrado to assess the roles of environmental filters and interspecific interactions upo...

Water plays a fundamental role in affecting geochemical transport and physical properties of magmas. Here we show the previously undocumented behavior of water within partially molten silicate resting in a temperature gradient, producing O, Li and H isotope redistribution by thermal diffusion leading to enrichment of light isotopes at the hot end of the gradient. After weeks to months, fully mo...

In this paper, we consider lasso problems with zero-sum constraint, commonly required for the analysis of compositional data in high-dimensional spaces. A novel algorithm is proposed to solve these problems, combining a tailored active-set technique, identify zero variables optimal solution, 2-coordinate descent scheme. At every iteration, chooses between two different strategies: first one req...

Datasets collected by high-throughput sequencing (HTS) of 16S rRNA gene amplimers, metagenomes or metatranscriptomes are commonplace and being used to study human disease states, ecological differences between sites, and the built environment. There is increasing awareness that microbiome datasets generated by HTS are compositional because they have an arbitrary total imposed by the instrument....

We tested the hypothesis that compositional and/or phylogenetic dissimilarity of host assemblages affect compositional and/or phylogenetic dissimilarity of parasite assemblages, to different extents depending on scale, using regional surveys of fleas parasitic on small mammals from 4 biogeographical realms. Using phylogenetic community dissimilarity metric, we calculated the compositional and p...

Microbiome-based stratification of healthy individuals into compositional categories, referred to as "enterotypes" or "community types", holds promise for drastically improving personalized medicine. Despite this potential, the existence of community types and the degree of their distinctness have been highly debated. Here we adopted a dynamic systems approach and found that heterogeneity in th...

Relational properties describe how two program executions are related, while expectation properties describe averagecase behavior of probabilistic programs. We investigate formal verification techniques for relational expectation properties. This class includes key technical properties modeling stability in machine learning, and properties associated with fast mixing of Markov chains. Technical...