This paper is concerned with model-based clustering of discrete data. Latent class models (LCMs) are usually used for the task. An LCM consists of a latent variable and a number of attributes. It makes the overly restrictive assumption that the attributes are mutually independent given the latent variable. We propose a novel method to relax the assumption. The key idea is to partition the attri...

The notion of Limit-Computable Mathematics (LCM) will be introduced. LCM is a fragment of classical mathematics in which the law of excluded middle is restricted to 0 2 -formulas. We can give an accountable computational interpretation to the proofs of LCM. The computational content of LCM-proofs is given by Gold's limiting recursive functions, which is the fundamental notion of learning theory...

OBJECTIVE Treatment of status epilepticus (SE) has not changed in the last few decades, benzodiazepines plus phenytoin or valproate being the most common treatment. Once this first and second line treatment has failed SE is considered refractory (RSE). This study aimed to assess the efficacy and tolerability of intravenous (iv) lacosamide (LCM) in RSE. METHOD Patients with RSE who were treate...

PURPOSE Attempts to determine the transcriptional profile of discrete subsets of limbal epithelial cells in situ using laser capture microdissection (LCM) face two major challenges. First, the transcriptional profile of cells within a tissue may rapidly change as the tissue is excised and exposed to cold ischemia. Second, there is a risk of degradation of the RNA as the cellular compartment is ...

Laser capture microdissection (LCM) is a powerful tool that enables the isolation of specific cell types from tissue sections, overcoming the problem of tissue heterogeneity and contamination. This study combined the LCM with isotope-coded affinity tag (ICAT) technology and two-dimensional liquid chromatography to investigate the qualitative and quantitative proteomes of hepatocellular carcinom...

Total RNA isolated by Laser Capture Microdissection (LCM) from embryonic kidney cells was analyzed for integrity and relative concentration using the Agilent 2100 bioanalyzer and the RNA 6000 Pico assay. An unexpected peak between the 18S and 28S ribosomal RNA peaks was observed and unambiguously proven, by DNase digestion and genomic DNA spike-in experiments, to be caused by genomic DNA contam...

Lacosamide (LCM), (SPM 927, (R)-2-acetamido-N-benzyl-3-methoxypropionamide, previously referred to as harkoseride or ADD 234037) is a member of a series of functionalized amino acids that were specifically synthesized as anticonvulsive drug candidates. LCM has demonstrated antiepileptic effectiveness in different rodent seizure models and antinociceptive potential in experimental animal models ...

OBJECTIVE The objective of this study was to analyze the effectiveness and long-term tolerability of adjuvant lacosamide (LCM) in a multicenter cohort. We aim to assess outcomes of LCM-containing antiepileptic drug (AED) combinations based upon 'mechanism of action' (MoA) and patient's clinical features. METHODS Consecutive patients commenced on LCM, with focal epilepsy were identified from t...

The aim of this work was to establish the effect of the dose of liquid cow manure (LCM) on some chemical properties and biological activity in an Andisol. This study was carried out under laboratory conditions using an Andisol and LCM from a dairy farm located in the South of Chile. The dose of LCM were the equivalent to 0 (S0), 100 (S100), 200, (S200) and 300 (S300) thousand L ha. This amount ...

Missing data and especially dropouts frequently arise in longitudinal data. Maximum likelihood estimates are consistent when data are missing at random (MAR) but, as this assumption is not checkable, pattern mixture models (PMM) have been developed to deal with informative dropout. More recently, latent class models (LCM) have been proposed as a way to relax PMM assumptions. The aim of this pap...