variety of energy–ecology optimizing means that optimum result of fuel combustion is focused not only on the direct efficiency of its usage but also on minimum environmental damage. best possible fuel combustion connected with controlled level of chemical underburn is considered to be one of the simpliest, cheapest and the most effective methods of optimizing. it is essential to notice that the...

This paper proposes a novel method to improve the efficiency of a swarm of robots searching in an unknown environment. The approach focuses on the process of feeding and individual coordination characteristics inspired by the foraging behavior in nature. A predatory strategy was used for searching; hence, this hybrid approach integrated a random search technique with a dynamic particle swarm op...

BACKGROUND This review investigated the influence of scaling sports equipment and play area (e.g., field size) on children's motor skill acquisition. METHODS Peer-reviewed studies published prior to February 2015 were searched using SPORTDiscus and MEDLINE. Studies were included if the research (a) was empirical, (b) involved participants younger than 18 years, (c) assessed the efficacy of sc...

BACKGROUND The emigration of skilled professionals from low- and middle-income countries (LMICs) to high-income countries (HICs) is a general phenomenon but poses particular challenges in health care, where it contributes to human resource shortages in the health systems of poorer countries. However, little is known about the effects of strategies to help regulate this movement. OBJECTIVES To...

Educational podcasts are developed specifically for learning purposes. Preliminary research suggests that many college courses and practitioners regularly use educational this medium is a beneficial tool to supplement the process. However, there limited scholarly work examining of within kinesiology fields. Thus, purpose study was conduct scoping review literature on in field kinesiology. The P...

As a novel and efficient ensemble learning algorithm, XGBoost has been widely applied due to its multiple advantages, but classification effect in cases of data imbalance is often not ideal. Aiming at this problem, efforts were made optimize the Cross Validation algorithm. The main idea combine cross validation on unbalanced for processing, then get final model based through training. At same t...

We sought to understand the basis of performance variability and perceptual learning in saccadic visual search. Four subjects searched for a target based on its shape in a linear array of densely packed, regularly spaced items, a configuration used to simplify the analysis of performance and to minimize search strategy variability. We measured the dependence of performance-search speed-on the o...

Recovering lost part of an image plays a great role in image processing. Inpainting is a technique that helps in recovering lost pixels from an image. From the existing techniques of Inpainting, Exemplar Inpainting is one of the fast and better techniques that help in restoring the lost part of an image. Exemplar based method chooses a patch similar to the lost patch from the known area to fill...