Medical Education

Midwifery students' understanding and knowledge of normal birth before 'delivery' of curriculum.

OBJECTIVE: To generate new knowledge that describes and explains the views and understanding, regard...

Computer Simulation and Optimization of Cranial Vault Distraction.

OBJECTIVE: The objective of this study was to validate the proof of concept of a computer-simulated ...

Neural Network Based Prediction of Conformational Free Energies - A New Route toward Coarse-Grained Simulation Models.

Coarse-grained (CG) simulation models have become very popular tools to study complex molecular syst...

Mathematic Network of Seizure Activity: How Presurgical Simulation Can Predict Postsurgical Success.

Educational effects using a robot patient simulation system for development of clinical attitude.

INTRODUCTION: The aim of this study was to assess the effectiveness of improving the attitude of den...

Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.

Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the h...

SNAVA-A real-time multi-FPGA multi-model spiking neural network simulation architecture.

Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable a...

Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation.

To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement lear...

Method of Improved Fuzzy Contrast Combined Adaptive Threshold in NSCT for Medical Image Enhancement.

Noises and artifacts are introduced to medical images due to acquisition techniques and systems. Thi...

Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.

BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to ...

Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation.

Transition index maps (TIMs) are key products in urban growth simulation models. However, their oper...

Development of an expert system for the simulation model for casting metal substructure of a metal-ceramic crown design.

BACKGROUND AND OBJECTIVES: Nowadays, the integrated CAD/CAE systems are favored solutions for the de...

Abstraction, Sensory-Motor Coordination, and the Reality Gap in Evolutionary Robotics.

One of the major challenges of evolutionary robotics is to transfer robot controllers evolved in sim...

Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval.

Simulation and positioning are very important aspects of computer aided engineering. To process thes...

Predicting Protein-protein Association Rates using Coarse-grained Simulation and Machine Learning.

Protein-protein interactions dominate all major biological processes in living cells. We have develo...

Edge detection based on Hodgkin-Huxley neuron model simulation.

In this paper, we propose a spiking neural network model for edge detection in images. The proposed ...

Neuronify: An Educational Simulator for Neural Circuits.

Educational software (apps) can improve science education by providing an interactive way of learnin...

Effect of body weight support variation on muscle activities during robot assisted gait: a dynamic simulation study.

BACKGROUND AND OBJECTIVES: While body weight support (BWS) intonation is vital during conventional g...

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.

This paper aims to develop a novel cost-effective framework for face identification, which progressi...

System Integration and In Vivo Testing of a Robot for Ultrasound Guidance and Monitoring During Radiotherapy.

We are developing a cooperatively controlled robot system for image-guided radiation therapy (IGRT) ...

Correlated EEG Signals Simulation Based on Artificial Neural Networks.

In recent years, simulation of the human electroencephalogram (EEG) data found its important role in...