Among topics in the field of pragmatics, some seem to be in a more rigorous need of investigation. Pragmatic assessment and specifically the issue of pragmatic rating are among issues which deserve more thorough consideration. The purpose of this study was to examine rater criteria and its consistency and variability in the assessment of Iranian EFL learners’ production of compliments based on ...

INTRODUCTION Isolated limb perfusion and infusion (ILP/ILI) are therapies for regional metastatic melanoma that allow high doses of anticancer drugs to be delivered directly into the circulation of an affected limb, thereby minimizing systemic drug toxicity. This procedure can lead to high response rates and is recommended in patients with Stage III unresectable metastatic melanoma. However, li...

BACKGROUND Tools for training professionals in rating personality disorders are few. We present one such tool: rating of fictional persons. However, before ratings of fictional persons can be useful, we need to know whether raters get the same results, when rating fictional characters. METHOD Psychology students at the University of Copenhagen (N = 8) rated four different movie characters fro...

The Employee Timetabling Problem (ETP) is concerned with assigning a number of employees into a given set of shifts over a fixed period of time while meeting the employee’s preferences and organizational work regulations. The problem also attempts to optimize the performance criteria and distribute the shifts equally among the employees. The problem is known to be a complex optimization problem...

Interlanguage pragmatics (ILP) has witnessed a growing body of research in the past two decades. One of the under-explored domains of L2 pragmatics is the role of learning strategies specifically tailored for the development of ILP knowledge. Therefore, this investigation aimed to determine the significant interlanguage pragmatic learning strategies (IPLS) used by high vs. low L2 pragmatic achi...

Accuracy improvement has been one of the most outstanding issues in the recommender systems research community. Recently, multi-criteria recommender systems that use multiple criteria ratings to estimate overall rating have been receiving considerable attention within the recommender systems research domain. This paper proposes a neural network model for improving the prediction accuracy of mul...