in the recent years, new medical technologies and their probable misuses have emerged public concerns about medical ethics. medical ethics is a practical discipline that provides a structured approach for identifying, analyzing, and resolving ethical issues in clinical medicine. in this study we reviewed some new methods of teaching medical ethics in other countries by searching in internet and...

background: in the recent years, new medical technologies and their probable misusing have emerged public concerns about medical ethics. medical ethics is a practical discipline that provides a structured approach for identifying, analyzing, and resolving ethical issues in clinical medicine. methods: in this study we reviewed some new methods of teaching medical ethics in other countries by sea...

Recycling tasks are the most effective method for reducing waste generation, protecting environment, and boosting overall national economy. The productivity effectiveness of recycling process strongly dependent on cleanliness precision processed primary sources. However, operations often labor intensive, computer vision deep learning (DL) techniques aid in automatically detecting classifying tr...

background and purpose: two important clinical education methods are problem-based and student-centered. however, education of “clinical decision-making skills” and “application of clinical knowledge” is important. usually training these cases is done in small groups . in this study, new method of scientific textbooks with four factors mentioned above has been implemented in large education gro...

Electromagnetism-like Optimization (EMO) is a global optimization algorithm, particularly well-suited to solve problems featuring non-linear and multimodal cost functions. EMO employs searcher agents that emulate a population of charged particles which interact with each other according to electromagnetism’s laws of attraction and repulsion. However, EMO usually requires a large number of itera...

This paper proposes a solution methodology for the design of optimal and stable digital infinite impulse response (IIR) band stop (BS) filter by employing modified cat swarm optimization (CSO) algorithm. The error surface of digital IIR filters is non linear and multimodal because of the presence of the denominator terms. Therefore, the traditional filter design methods usually got stuck in the...

Gorilla troops optimizer (GTO) is a newly developed meta-heuristic algorithm, which inspired by the collective lifestyle and social intelligence of gorillas. Similar to other metaheuristics, convergence accuracy stability GTO will deteriorate when optimization problems be solved become more complex flexible. To overcome these defects achieve better performance, this paper proposes an improved g...

The main component of a cryptographic system that allows us to ensure its strength against attacks, is the substitution box. this can be validated by various metrics, one them being nonlinearity. To end, it essential develop design for boxes guarantee compliance with metric. In work, we implemented hybrid between stochastic fractal search algorithm in conjunction opposition-based learning. This...