Prescriptions

Interaction with a reactive partner improves learning in contrast to passive guidance.

Many tasks such as physical rehabilitation, vehicle co-piloting or surgical training, rely on physical assistance from a partner. While this assistance may be provided by a robotic interface, how to implement the necessary haptic support to help improve performance without impeding learning is unclear. In this paper, we study the influence of haptic interaction on the performance and learning of a...

Modeling DTA by Combining Multiple-Instance Learning with a Private-Public Mechanism.

The prediction of the strengths of drug-target interactions, also called drug-target binding affinities (DTA), plays a fundamental role in facilitating drug discovery, where the goal is to find prospective drug candidates. With the increase in the number of drug-protein interactions, machine learning techniques, especially deep learning methods, have become applicable for drug-target interaction d...

The Fusion Application of Deep Learning Biological Image Visualization Technology and Human-Computer Interaction Intelligent Robot in Dance Movements.

The paper aims to apply the deep learning-based image visualization technology to extract, recognize, and analyze human skeleton movements and evaluat...

Graph Neural Network for Protein-Protein Interaction Prediction: A Comparative Study.

Proteins are the fundamental biological macromolecules which underline practically all biological activities. Protein-protein interactions (PPIs), as ...

Deep-learning analysis of micropattern-based organoids enables high-throughput drug screening of Huntington's disease models.

Organoids are carrying the promise of modeling complex disease phenotypes and serving as a powerful basis for unbiased drug screens, potentially offer...

Construction and Analysis of Emotion Recognition and Psychotherapy System of College Students under Convolutional Neural Network and Interactive Technology.

This study's aim is to effectively establish a psychological intervention and treatment system for college students and discover and correct their psy...

Prediction of drug-drug interaction events using graph neural networks based feature extraction.

The prevalence of multi_drug therapies has been increasing in recent years, particularly among the elderly who are suffering from several diseases. Ho...

Analysis of Graphic Design Based on AI Interaction Technology.

The naive Bayes classification algorithm is used to determine the plane feature vector, and the color image enhancement algorithm based on the visual ...

A study on the influence of service robots' level of anthropomorphism on the willingness of users to follow their recommendations.

Service robots are increasingly deployed in various industries including tourism. In spite of extensive research on the user's experience in interacti...

Machine-learning as a validated tool to characterize individual differences in free recall of naturalistic events.

The use of naturalistic stimuli, such as narrative movies, is gaining popularity in many fields, characterizing memory, affect, and decision-making. N...

Eliciting a User's Preferences by the Self-Disclosure of Socially Assistive Robots in Local Households of Older Adults to Facilitate Verbal Human-Robot Interaction.

To realize a society in which older adults can live independently in their homes and familiar environments for as long as possible, their lives can be...

Identifying Drug Targets of Oral Squamous Cell Carcinoma through a Systems Biology Method and Genome-Wide Microarray Data for Drug Discovery by Deep Learning and Drug Design Specifications.

In this study, we provide a systems biology method to investigate the carcinogenic mechanism of oral squamous cell carcinoma (OSCC) in order to identi...

Shape Memory Alloy-Based Wearables: A Review, and Conceptual Frameworks on HCI and HRI in Industry 4.0.

Ever since its discovery, the applications of Shape Memory Alloys (SMA) can be found across a range of application domains, from structural design to ...

PhotoElasticFinger: Robot Tactile Fingertip Based on Photoelastic Effect.

The sense of touch is fundamental for a one-to-one mapping between the environment and a robot that physically interacts with the environment. Herein,...

GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.

BACKGROUND: Accurately predicting drug-target binding affinity (DTA) in silico plays an important role in drug discovery. Most of the computational me...

Evaluating levels of automation with different feedback modes in an assistive robotic table clearing task for eldercare.

This paper focuses on how the autonomy level of an assistive robot that offers support for older adults in a daily task and its feedback affect the in...

Anticipation for surgical workflow through instrument interaction and recognized Signals.

Surgical workflow anticipation is an essential task for computer-assisted intervention (CAI) systems. It aims at predicting the future surgical phase ...

Identification of liquors from the same brand based on ultraviolet, near-infrared and fluorescence spectroscopy combined with chemometrics.

Accurate identification of various liquors from the same brand is of great significance for safeguarding the rights and interests of consumers and the...

Individualized Diagnosis and Prescription in Traditional Medicine: Decision-Making Process Analysis and Machine Learning-Based Analysis Tool Development.

While pattern identification (PI) is an essential process in traditional medicine (TM), it is difficult to objectify since it relies heavily on implic...

A Study on the Effectiveness of IT Application Education for Older Adults by Interaction Method of Humanoid Robots.

Education using humanoid robots can have a positive impact in many fields, including in medical or physical training. This study investigated the effe...