Prescriptions

Evaluating the effects of active social touch and robot expressiveness on user attitudes and behaviour in human-robot interaction.

Touch plays a crucial role in human social interaction and emotional communication. Social touch refers to touching others in social contexts, serving purposes like greetings, affection, persuasion, and emotional regulation. Social robots are autonomous agents designed to interact with humans according to a social model these users apply. While the literature on human-robot touch interaction has f...

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction

Role-Playing Agents (RPAs), benefiting from large language models, is an emerging interactive AI system that simulates roles or characters with diverse personalities. However, existing methods primarily focus on mimicking dialogues among roles in textual form, neglecting the role's voice traits (e.g., voice style and emotions) as playing a crucial effect in interaction, which tends to be more im...

Fine-grained List-wise Alignment for Generative Medication Recommendation

Accurate and safe medication recommendations are critical for effective clinical decision-making, especially in multimorbidity cases. However, exist...

Integrating emotional intelligence, memory architecture, and gestures to achieve empathetic humanoid robot interaction in an educational setting

This study investigates the integration of individual human traits into an empathetically adaptive educational robot tutor system designed to improv...

HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance

Human-centered images often suffer from severe generic degradation during transmission and are prone to human motion blur (HMB), making restoration ...

Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects.

Computational prediction of potential drug side effects plays a crucial role in reducing health risks for clinical patients and accelerating drug deve...

TIDGN: A Transfer Learning Framework for Predicting Interactions of Intrinsically Disordered Proteins with High Conformational Dynamics.

Interactions between intrinsically disordered proteins (IDPs) are crucial for biological processes, such as intracellular liquid-liquid phase separati...

I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts

Modality fusion is a cornerstone of multimodal learning, enabling information integration from diverse data sources. However, vanilla fusion methods...

Benchmarking Laparoscopic Surgical Image Restoration and Beyond

In laparoscopic surgery, a clear and high-quality visual field is critical for surgeons to make accurate intraoperative decisions. However, persiste...

ADGSyn: Dual-Stream Learning for Efficient Anticancer Drug Synergy Prediction

Drug combinations play a critical role in cancer therapy by significantly enhancing treatment efficacy and overcoming drug resistance. However, the ...

Moderating Harm: Benchmarking Large Language Models for Cyberbullying Detection in YouTube Comments

As online platforms grow, comment sections increasingly host harassment that undermines user experience and well-being. This study benchmarks three ...

Eye-See-You: Reverse Pass-Through VR and Head Avatars

Virtual Reality (VR) headsets, while integral to the evolving digital ecosystem, present a critical challenge: the occlusion of users' eyes and port...

A Longitudinal Analysis of Experiences with Semaglutide Across Twitter User Subpopulations

User experience significantly impacts pharmaceutical drug effectiveness. Social media platforms, particularly Twitter (now X), have become prominent...

Multi-Person Interaction Generation from Two-Person Motion Priors

Generating realistic human motion with high-level controls is a crucial task for social understanding, robotics, and animation. With high-quality MO...

Relationship between medication regimen complexity and pharmacist engagement in fluid stewardship.

PURPOSE: The medication regimen complexity intensive care unit (MRC-ICU) score has previously been associated with pharmacist workload and fluid overl...

Sensitivity of ECG QRS Complexes to His-Purkinje Structure in Computational Heart Models

Cardiac digital twins (CDT) are emerging as a potentially transformative tool in cardiology. A critical yet understudied determinant of CDT accuracy...

From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference Alignment

Effective emotional support hinges on understanding users' emotions and needs to provide meaningful comfort during multi-turn interactions. Large La...

Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets

Vision-Language Models (VLMs) acquire real-world knowledge and general reasoning ability through Internet-scale image-text corpora. They can augment...

On the Relevance of Clinical Assessment Tasks for the Automatic Detection of Parkinson's Disease Medication State from Speech

The automatic identification of medication states of Parkinson's disease (PD) patients can assist clinicians in monitoring and scheduling personaliz...

Machine learning-assisted literature screening for a medication-use process-related systematic review.

PURPOSE: This article summarizes a novel methodology of applying machine learning (ML) algorithms trained with external training data to assist with a...