Infection control / Modes of transmission

Extremely large sweep amplitude enables high wing loading in giant hovering insects.

Beetle Allomyrina dichotoma is one of the largest insects that performs many remarkable modes of locomotion, particularly hovering flight capability. In order to stay airborne, its flexible hindwings are flapped so as to work as a thrust generator. However, the wing loading of the beetle is relatively large (38.94  ±  3.73 N m) compared to those of other insects and hummingbirds, indicating that i...

Foot-Controlled Robot-Enabled EnDOscope Manipulator (FREEDOM) for Sinus Surgery: Design, Control, and Evaluation.

Despite successful clinical applications, teleoperated robotic surgical systems face particular limitations in the functional endoscopic sinus surgery (FESS) in terms of incompatible instrument dimensions and robot set-up. The endoscope remains manually handled by an assistant when the surgeon performs bimanual operations. This paper introduces the development of the Foot-controlled Robot-Enabled ...

A bioinspired optoelectronically engineered artificial neurorobotics device with sensorimotor functionalities.

Development of the next generation of bio- and nano-electronics is inseparably connected to the innovative concept of emulation and reproduction of bi...

A new robotic tactile sensor with bio-mimetic structural colour inspired by Morpho butterflies.

Since tactile perception and robotic manipulation play important roles in human survival, we propose a new method for developing robotic tactile senso...

rawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments.

In the last decades, huge efforts have been made in the bioinformatics community to develop machine learning-based methods for the prediction of struc...

A new method for identifying a fault in T-connected lines based on multiscale S-transform energy entropy and an extreme learning machine.

Due to the characteristics of T-connection transmission lines, a new method for T-connection transmission lines fault identification based on current ...

Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema.

BACKGROUND: This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and nor...

Fingerpad contact evolution under electrovibration.

Displaying tactile feedback through a touchscreen via electrovibration has many potential applications in mobile devices, consumer electronics, home a...

Combining evolution and self-organization to find natural Boolean representations in unconventional computational media.

Designing novel unconventional computing systems often requires the selection of the computational structure as well as choosing the right symbol enco...

Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study.

BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preterm infants due to the potential for the adhesive el...

Simplifying models and estimating grasp performance for comparing dynamic hand orthosis concepts.

While designing a dynamic hand orthosis to assist during activities of daily living, the designer has to know whether a concept will have sufficient g...

Machine Learning Model for Imbalanced Cholera Dataset in Tanzania.

Cholera epidemic remains a public threat throughout history, affecting vulnerable population living with unreliable water and substandard sanitary con...

Energy-Efficient Intelligent ECG Monitoring for Wearable Devices.

Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real time and send out alert signal together with abnormal ECG sign...

Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting.

Stem cells are a group of competent cells capable of self-renewal and differentiating into osteogenic, chondrogenic, and adipogenic lineages. These ce...

Models of the effect of teleoperation transmission delay on robot movement time.

Recent research of [Scholcover and Gillan ( 2018 )] has shown experimentally that system transmission delay has a linear effect on the time taken to p...

Applying machine learning to forecast daily Ambrosia pollen using environmental and NEXRAD parameters.

Approximately 50 million Americans have allergic diseases. Airborne plant pollen is a significant trigger for several of these allergic diseases. Ambr...

Method of localized removal of cells using a bolt-clamped Langevin transducer with an ultrasonic horn.

Cell isolation by eliminating undesirable cell aggregations or colonies with low activity is essential to improve cell culture efficiency. Moreover, w...

Automated System for Small-Population Single-Particle Processing Enabled by Exclusive Liquid Repellency.

Exclusive liquid repellency (ELR) describes an extreme wettability phenomenon in which a liquid phase droplet is completely repelled from a solid phas...

Human-Robot Team Interaction Through Wearable Haptics for Cooperative Manipulation.

The interaction of robot teams and single human in teleoperation scenarios is beneficial in cooperative tasks, for example, the manipulation of heavy ...

Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Pollen.

Allergies to airborne pollen are a significant issue affecting millions of Americans. Consequently, accurately predicting the daily concentration of a...