Video action anticipation aims to predict future categories from observed frames. Current state-of-the-art approaches mainly resort recurrent neural networks encode history information into hidden states, and actions the representations. It is well known that pipeline inefficient in capturing long-term which may limit its performance predication task. To address this problem, paper proposes a s...

participative management tries to help organizations to meet their goals and satisfy stakeholders to reach their purposes, and one of its subsystems is suggestion system which is a form of employee – to – management communication that benefit employees as well as employers. in iran and in relation to establishing participative management, the management and planning organization asked public or...

The design of drugs with bioinformatics methods to identify proteins and peptides with a specific toxic action is increasingly recurrent. Here, we identify toxic proteins towards the influenza A virus subtype H1N1 located at the UniProt database. Our quantitative structure-activity relationship (QSAR) approach is based on the analysis of the linear peptide sequence with the so-called Polarity I...

It is obvious that lead intake is of concern not for its beneficial/essential effects on metabolism, but rather for its toxic actions, which can be especially damaging to children. The objective of this study was to analyze the concentration of lead in milk of mothers during prolonged lactation. Milk samples from 43 mothers were collected at 2 months postpartum. Lead was analyzed using atomic a...

Predicate-action diagrams, which are similar to standard state-transition diagrams, are precisely defined as formulas of TLA (the Temporal Logic of Actions). We explain how these diagrams can be used to describe aspects of a specification—and those descriptions then proved correct— even when the complete specification cannot be written as a diagram. We also use the diagrams to illustrate proofs...

Robust statistical methods are important to the evaluation of toxicological interactions (i.e., departures from additivity) among chemicals in a mixture. However, different concepts of joint toxic action as applied to the statistical analysis of chemical mixture toxicology data or as used in environmental risk assessment often appear to conflict with one another. A unifying approach for applica...