As humans, we can often detect from a person’s utterances if he/she is in favor of or against a given target entity (topic, product, another person, etc). But from the perspective of a computer, we need means to automatically deduce the stance of the tweeter, given just the tweet text. In this paper, we present our results of performing stance detection on twitter data using a supervised approa...

We present a logarithmic algorithm for performing parallel refinement of triangular meshes by the widely used longest edge bisection procedure. We show that the refinement propagation forms a data dependency which can be expressed as a forest of directed trees. We solve a parallel Euler Tour problem on the trees to propagate the refinement. After propagation, we apply refinement templates. Our ...

Virus inactivation by ethyleneimines was first introduced more than 30 years ago. Selective targeting of nucleic acids was reported for oligomeric ethyleneimines. In this study, trimeric ethyleneimine (TEI) was used to inactivate minute virus of mice (MVM; Parvoviridae) and Semliki forest virus (SFV; Togaviridae). The pH-dependency of the inactivation kinetics observed with MVM was different co...

Effects of different land uses on densities of Escherichia coli, enterococci, and Clostridium perfringens in the water and soil of a tropical watershed were investigated. Densities of fecal indicator bacteria (FIBs) in the watershed exhibited a clear land-use dependency in the stream water. Significantly higher concentrations were detected in the urban portion of the stream (417, 420, and 44 CF...

Good governance in natural resource management (NRM) is one of the most challenging issues in developing countries that often inappropriately embedded in national policies and political agendas. It is, in fact, even more important for countries like Bangladesh with exceptionally high pressure and dependence on its natural resources for sustaining rural livelihoods. Globally, nowadays, good gove...

Combining national forest inventory (NFI) data with digital site maps of high resolution enables spatially explicit predictions of site productivity. The aim of this study is to explore the possibilities and limitations of this database to analyze the environmental dependency of height-growth of Norway spruce and to predict site index (SI) on a scale that is relevant for local forest management...

We present a class of algorithms that find clusters in independent component analysis: the data are linearly transformed so that the resulting components can be grouped into clusters, such that components are dependent within clusters and independent between clusters. In order to find such clusters, we look for a transform that fits the estimated sources to a forest-structured graphical model. ...

Numerous data mining models have been proposed to construct computer-aided medical expert systems. Bayesian network classifiers (BNCs) are more distinct and understandable than other models. To graphically describe the dependency relationships among clinical variables for thyroid disease diagnosis and ensure the rationality of the diagnosis results, the proposed k-dependence causal forest (KCF)...