Work Force

An information-based machine learning approach to elasticity imaging.

An information-based technique is described for applications in mechanical property imaging of soft ...

Integrated Analysis of Expression Profile Based on Differentially Expressed Genes in Middle Cerebral Artery Occlusion Animal Models.

Stroke is one of the most common causes of death, only second to heart disease. Molecular investigat...

A fast and stable vascular deformation scheme for interventional surgery training system.

BACKGROUND: The emergence and development of robot assistant interventional vascular surgery technol...

A Heuristic Force Model for Haptic Simulation of Nasogastric Tube Insertion Using Fuzzy Logic.

Nasogastric tube (NGT) placement is an essential clinical skill. The training is conventionally perf...

Implementing a robotics curriculum at an academic general surgery training program: our initial experience.

The robotic surgical platform is being utilized by a growing number of hospitals across the country,...

Determination of the mechanical and physical properties of cartilage by coupling poroelastic-based finite element models of indentation with artificial neural networks.

One of the most widely used techniques to determine the mechanical properties of cartilage is based ...

Adapting content-based image retrieval techniques for the semantic annotation of medical images.

The automatic annotation of medical images is a prerequisite for building comprehensive semantic arc...

A Q-backpropagated time delay neural network for diagnosing severity of gait disturbances in Parkinson's disease.

Parkinson's disease (PD) is a movement disorder that affects the patient's nervous system and health...

Robotic Rehabilitator of the Rodent Upper Extremity: A System and Method for Assessing and Training Forelimb Force Production after Neurological Injury.

Rodent models of spinal cord injury are critical for the development of treatments for upper limb mo...

The GAAIN Entity Mapper: An Active-Learning System for Medical Data Mapping.

This work is focused on mapping biomedical datasets to a common representation, as an integral part ...

Dynamics of Viral Abundance and Diversity in a Sphagnum-Dominated Peatland: Temporal Fluctuations Prevail Over Habitat.

Viruses impact microbial activity and carbon cycling in various environments, but their diversity an...

Diversity and Plant Growth Promoting Capacity of Endophytic Fungi Associated with Halophytic Plants from the West Coast of Korea.

Five halophytic plant species, Suaeda maritima, Limonium tetragonum, Suaeda australis, Phragmites au...

Particle Swarm Optimization with Double Learning Patterns.

Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PS...

A Telehealth Case Study: The Use of Telepresence Robot for Delivering Integrated Clinical Care.

Unsupervised learning assisted robust prediction of bioluminescent proteins.

Bioluminescence plays an important role in nature, for example, it is used for intracellular chemica...

Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

In order to determine optimal training parameters for robot-assisted treadmill walking, it is essent...

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.

In the present society, most families are double-income families, and as the long-term care is serio...

Expanding the occupational health methodology: A concatenated artificial neural network approach to model the burnout process in Chinese nurses.

UNLABELLED: Artificial neural networks are sophisticated modelling and prediction tools capable of e...

Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.

Generation of the primate cortex is characterized by the diversity of cortical precursors and the co...

Modeling of Beta Diversity in Tunisian Waters: Predictions Using Generalized Dissimilarity Modeling and Bioregionalisation Using Fuzzy Clustering.

Spatial patterns of beta diversity are a major focus of ecology. They can be especially valuable in ...

Comparing the Influence of Simulated Experimental Errors on 12 Machine Learning Algorithms in Bioactivity Modeling Using 12 Diverse Data Sets.

To date, no systematic study has assessed the effect of random experimental errors on the predictive...