Factores contextuales que influyen en la evocación autobiográfica en un contexto de entrevista
Resumen: La entrevista autobiográfica es el suceso comunicativo en el que una persona evoca recuerdos sobre uno o más sucesos de su vida, organizándolos en una narración con sentido para ella. Este tipo de entrevista es un recurso metodológico frecuentemente usado por historiadores orales o de Memoria histórica, quienes han señalado que esta evocación ...
openaire +1 more source
Digital Twin of a One‐Sun‐Driven Luminescent‐Concentrator‐Assisted Planar Solar‐Pumped Fiber Laser
An experimentally‐validated digital twin of a one‐sun solar‐pumped fiber laser enables a design exhibit 13‐times higher output power at 1064 nm to be achieved. Despite its simple appearance, the multitude of choices in the design parameters make finding this improved very tedious in the lab, thus the digital twin can save significant time and effort ...
Anvarjon Sherniyozov +2 more
wiley +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Altitude and case fatality rate from COVID-19 during the pandemic in Peru, 2020-2022. [PDF]
Robles-Mariños R +3 more
europepmc +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
[The risk of choosing a residency in Health Sciences: a narrative review of key factors in decision-making] [PDF]
García Dieguez M, Nardi M, Ladenheim R.
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
[Functional status, cardiometabolic risk, and community barriers in rural older adults: A cross-sectional study]. [PDF]
Fernández-Angulo C +2 more
europepmc +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
[Work-Family Conflict and its Impact on Working Women's Health: A Systematic Review]. [PDF]
García-Rodríguez I +5 more
europepmc +1 more source

