In classical Formal Language Theory, “centralised” grammar systems and automata were the standard models for computation devices. With the rapid growth of computer networks, distributed databases, etc, distributed computation has begun to play a major role in modern computer science. The theory of grammar systems and distributed-automata was thus developed as a model for distributed computation...

Transcription factor (TF) binding to DNA is crucial for transcriptional regulation. There are multiple methods for mapping such binding. These methods balance between input requirements, spatial resolution, and compatibility with high-throughput automation. Here, we describe SLIM-ChIP (short-fragment-enriched, low-input, indexed MNase ChIP), which combines enzymatic fragmentation of chromatin a...

A finite lattice L is called slim if no three join-irreducible elements of L form an antichain. Slim semimodular lattices play the main role in G. Czédli and E.T. Schmidt [5], where lattice theory is applied to a purely group theoretical problem. Here we develop a unique matrix representation for these lattices.

The first commercial exploitation of genetic technologies in the 1980s sparked a continuing debate over their acceptability, ethics and implications for society. Since this time, cloning, genetic screening and gene therapy have become topics of an intense discussion about how to use the potential of biotechnology in the best interests of the public, while criticism and outrage are mostly direct...

OBJECTIVE The aim of the present study was to explore the effects of exposure to slim images and diet-related products in commercials on actual food intake in relation to dietary restraint. DESIGN An experimental design was used, in which food intake was measured in 124 female students who watched either a sad or a neutral movie on television, which was interrupted by either commercials featu...

Sparse Linear Methods (SLIM) are state-of-the-art recommendation approaches based on matrix factorization, which rely on a regularized l1-norm and l2-norm optimization –an alternative optimization problem to the traditional Frobenious norm. Although they have shown outstanding performance in Top-N recommendation, existent works have not yet analyzed some inherent assumptions that can have an im...

In this paper we consider sparse and identifiable linear latent variable (factor) and linear Bayesian network models for parsimonious analysis of multivariate data. We propose a computationally efficient method for joint parameter and model inference, and model comparison. It consists of a fully Bayesian hierarchy for sparse models using slab and spike priors (two-component δ-function and conti...

The objective of this study was to optimize the operating parameters of the International Rice Research Institute (IRRI) Test Tube rice mill. The goal was to minimize the milling duration required to attain a milling degree equivalent to a 12% brown rice kernel mass loss. Operating parameters including brown rice mass, milling duration, tube oscillation frequency, and test tube size were invest...

Let L be a slim, planar, semimodular lattice (slim means that it does not contain an $${{\textsf{M}}}_3$$ -sublattice). We call the interval $$I = [o, i]$$ of rectangular, if there are complementary $$a, b \in I$$ such is to left b. claim rectangular slim also lattice. will present some applications, including recent result G. Czédli. In paper with E. Knapp about dozen years ago, we introduced ...

background: the unplanned departure of endotracheal tube is one of the main complications for endotracheal intubation. in addition to endotracheal extubation, its movement can also lead to damage to the oral cavity. stabilizing endotracheal tube is the most important factor that can prevent unplanned departure of endotracheal tube as well as its movement. the current study was done with the aim...