This article provides a commentary on recent work by Ramon et al. (2019, British Journal of Psychology) on super-recognizers. The commentary advocates a task- and role-based approach to SR research and greater collaboration between researchers and the applied community.
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http://dx.doi.org/10.1111/bjop.12394 | DOI Listing |
PLoS One
July 2024
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, South Korea.
The IoT (Internet of Things) has played a promising role in e-healthcare applications during the last decade. Medical sensors record a variety of data and transmit them over the IoT network to facilitate remote patient monitoring. When a patient visits a hospital he may need to connect or disconnect medical devices from the medical healthcare system frequently.
View Article and Find Full Text PDFNeural Netw
June 2024
Institute for AI, Peking University, Beijing, China. Electronic address:
Multi-task multi-agent systems (MASs) are challenging to model because they involve heterogeneous agents with different behavior patterns that need to cooperate across various tasks. Existing networks for single-agent policies are not suitable for this setting, as they cannot share policies among agents without losing task-specific performance. We propose a novel framework called Role-based Multi-Agent Transformer (RoMAT), which uses a sequence modeling technique and a role-based actor to enable agents to adapt to different tasks and roles in MASs.
View Article and Find Full Text PDFSci Rep
November 2023
Department of Biomedical Engineering, University of Engineering and Technology, Lahore, 54000, Pakistan.
Mobile robots are increasingly employed in today's environment. Perceiving the environment to perform a task plays a major role in the robots. The service robots are wisely employed in the fully (or) partially known user's environment.
View Article and Find Full Text PDFFront Rehabil Sci
August 2023
Department of Physical Therapy, University of Toronto, Toronto, Ontario, Canada.
Int J Mol Sci
April 2022
Institute of Molecular Biology and Biotechnologies, 4108 Markovo, Bulgaria.
Plant small RNAs (sRNAs) are a heterogeneous group of noncoding RNAs with a length of 20-24 nucleotides that are widely studied due to their importance as major regulators in various biological processes. sRNAs are divided into two main classes-microRNAs (miRNAs) and small interfering RNAs (siRNAs)-which differ in their biogenesis and functional pathways. Their identification and enrichment with new structural variants would not be possible without the use of various high-throughput sequencing (NGS) techniques, allowing for the detection of the total population of sRNAs in plants.
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