Abstract In this paper, we study a class of markets, among which can mention agricultural and energy characterized by seasonality, i.e., in demand and/or supply conditions cyclically alternate with precise known periodicity. We propose new theoretical framework based on cobweb model adaptive expectations, accordingly modified to be consistent market’s seasonality. The model, consisting second-o...

novel IS-saccade mappings. The first correctly executed trial was ping of a set of stimuli onto a set of actions. Such learning termed the early phase of learning, which always occurred more epitomizes the behavioral flexibility that advanced mammals than two trials before trial 0. Correct trials 02 to /2 constituted bring to a rapidly changing environment: any stimulus or the middle phase, tri...

PURPOSE This study aimed to compare the learning curves and early postoperative outcomes for conventional laparoscopic (CL) and single incision laparoscopic (SIL) right hemicolectomy (RHC). METHODS This retrospective study included the initial 35 cases in each group. Learning curves were evaluated by the moving average of operative time, mean operative time of every five consecutive cases, an...

This study investigated the effect of Narrow Reading (NR) on learning mid-frequency words. Vocabulary Size Test (VST) designed by Nation and Beglar (2007) was administered as the first pre-test to 196 students, from among whom 91 students whose vocabulary size ranged between 2100- 3500-word families, , became the target of this study and were randomly c...

background: we aimed to develop and evaluate outcomes of a blended learning (bl) program for nursing and midwifery education in iran. materials and methods: this was a participatory action research project. after designing bl website, providing technological infrastructures, and holding preparatory workshops, 22 blended courses were designed. bl method was implemented for one semester. students...

This paper presents a learning-based approach to the automation of knowledge acquisition for expert systems. An expert system is viewed as an explicit model of a human expert's competence and performance. We distinguish three phases in the development of such a model. The first one consists of defining a framework for the model, in terms of a knowledge representation formalism and an associated...

Interferometric Synthetic Aperture Radar (InSAR) data processing applications, such as deformation monitoring and topographic mapping, require an interferometric phase filtering step. Indeed, the quality significantly impacts terrain height estimation accuracy. However, existing classical deep learning-based methods provide artefacts in filtered areas where a large amount of noise prevents retr...