Determination of the MB isoenzyme of creatine kinase in patients with acute myocardial infarction may be disturbed by the presence of macro creatine kinase. The relative molecular mass of this form of creatine kinase in human serum is at least threefold that of the ordinary enzyme, and it is more thermostable. Here we describe our method for determination of macro creatine kinases and an easy-t...

Despite recent progress in AI planning, many benchmarks remain challenging for current planners. In many domains, the performance of a planner can greatly be improved by discovering and exploiting information about the domain structure that is not explicitly encoded in the initial PDDL formulation. In this paper we present and compare two automated methods that learn relevant information from p...

A patient recovering from an acute encephalopathy demonstrated several ocular motor disturbances reflecting cerebellar and brainstem dysfunction. Two of these, macro square-wave jerks and macro saccadic oscillations, have never been reported in the same patient. The macro square-wave jerks disappeared with monocular viewing, a previously undescribed "inverse latent" characteristic.

This paper shows that robust inference under weak identification is important to the evaluation of many influential macro asset pricing models, including (time?varying) rare?disaster risk models and long?run models. Building on recent developments in conditional literature, we provide a novel specification test by simulating critical value sufficient statistic. statistic can be intuitively inte...

Task difficulty across different macro-genres continues to remain among less attended areas in second language development studies. This study examined the correlation between task difficulty across the descriptive, narrative, argumentative, and expository macro-genres. The three components of task difficulty (i.e., code complexity, cognitive complexity, and communicative stress) were also comp...

This paper explores issues encountered when performing online management of large collections of macro-actions generated for use in planning. Existing approaches to managing collections of macro-actions are designed for use with offline macro-action learning, pruning candidate macro-actions on the basis of their effect on the performance of the planner on small training problems. In this paper ...