Likelihood estimations are crucial for dealing with the uncertainty of life. Here, infants' sensitivity to the difference in likelihood between two events was investigated. Infants aged 6, 12, and 18 months (N = 75) were shown animated movies of a machine simultaneously drawing likely and unlikely samples from a box filled with different colored balls. In different trials, the difference in likelihood between the two samples was manipulated. The infants' looking patterns varied as a function of the magnitude of the difference in likelihood and were modulated by the number of items in the samples. Looking patterns showed qualitative similarities across age groups. This study demonstrates that infants' looking responses are sensitive to the magnitude of the difference in likelihood between two events.
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http://dx.doi.org/10.1111/cdev.12970 | DOI Listing |
Viruses
December 2024
World Health Organization, 1202 Geneva, Switzerland.
Setting up a global SARS-CoV-2 surveillance system requires an understanding of how virus isolation and propagation practices, use of animal or human sera, and different neutralisation assay platforms influence assessment of SARS-CoV-2 antigenicity. In this study, with the contribution of 15 independent laboratories across all WHO regions, we carried out a controlled analysis of neutralisation assay platforms using the first WHO International Standard for antibodies to SARS-CoV-2 variants of concern (source: NIBSC). Live virus isolates (source: WHO BioHub or individual labs) or spike plasmids (individual labs) for pseudovirus production were used to perform neutralisation assays using the same serum panels.
View Article and Find Full Text PDFViruses
November 2024
Laboratório Avançado de Saúde Pública, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz (Fiocruz-BA), Salvador 40296-710, Bahia, Brazil.
Human T-cell leukemia virus type 1 (HTLV-1) is associated with an increased risk of tuberculosis (TB). This study aimed to evaluate the performance of the QuantiFERON-TB Gold (QFT) test for the diagnosis of (MTB) infection in HTLV-1-infected individuals. HTLV-1-infected participants were divided into four groups: HTLV-1-infected individuals with a history of tuberculosis (HTLV/TB), individuals with positive HTLV and tuberculin skin tests (HTLV/TST+) or negative TST (HTLV/TST-), and HTLV-1-negative individuals with positive TST results (HN/TST+).
View Article and Find Full Text PDFVaccines (Basel)
December 2024
ICF International, Rockville, MD 20850, USA.
Background/objectives: Understanding attitudes and behaviors related to vaccination is critical for enhancing COVID-19 vaccination acceptance and reducing disparities in vaccination coverage. This study examines disparities in vaccine-related attitudes and COVID-19 vaccine hesitancy in the United States in relation to community-level social vulnerability.
Methods: This study analyzed cross-sectional national surveys conducted repeatedly between July 2020 and August 2021 ( = 6716).
Sensors (Basel)
December 2024
School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Electrocardiogram (ECG) signals contain complex and diverse features, serving as a crucial basis for arrhythmia diagnosis. The subtle differences in characteristics among various types of arrhythmias, coupled with class imbalance issues in datasets, often hinder existing models from effectively capturing key information within these complex signals, leading to a bias towards normal classes. To address these challenges, this paper proposes a method for arrhythmia classification based on a multi-branch, multi-head attention temporal convolutional network (MB-MHA-TCN).
View Article and Find Full Text PDFSensors (Basel)
December 2024
Qualcomm, San Jose, CA 95110, USA.
With the development of Internet of Vehicles (IoV) technology, the need for real-time data processing and communication in vehicles is increasing. Traditional request-based methods face challenges in terms of latency and bandwidth limitations. Mode 4 in cellular vehicle-to-everything (C-V2X), also known as autonomous resource selection, aims to address latency and overhead issues by dynamically selecting communication resources based on real-time conditions.
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