Phonological awareness skills are critical for reading acquisition, yet relatively little is known about the origins of phonological awareness. This study investigates one plausible source of the emergence of phonological awareness, phonological neighbourhood density. As vocabulary grows, the number of similar-sounding words in the child's mental lexicon increases. This could create developmental pressure to develop awareness of sub-units within words such as syllables, rhymes and phonemes. If this is the case, then neighbourhood density effects should be discernible in phonological awareness tasks. Children should be more successful in these tasks with words from dense phonological neighbourhoods, as they should show greater awareness of sub-units within these words. We investigated this hypothesis in a group of 48 five-year-old children, most of whom were pre-readers. The five-year-olds with a high vocabulary age showed neighbourhood density effects in a rhyme oddity task, but five-year-olds with lower vocabulary ages did not. This suggests that vocabulary acquisition and consequent neighbourhood density effects are indeed one source of the emergence of phonological awareness skills in pre-readers.
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PLoS One
January 2025
School of Information Science and Engineering, Xinjiang University, Urumqi, China.
Anomaly detection is crucial in areas such as financial fraud identification, cybersecurity defense, and health monitoring, as it directly affects the accuracy and security of decision-making. Existing generative adversarial nets (GANs)-based anomaly detection methods overlook the importance of local density, limiting their effectiveness in detecting anomaly objects in complex data distributions. To address this challenge, we introduce a generative adversarial local density-based anomaly detection (GALD) method, which combines the data distribution modeling capabilities of GANs with local synthetic density analysis.
View Article and Find Full Text PDFIJID Reg
March 2025
Institute of Geography & Heidelberg Centre for Environment, Heidelberg University, Heidelberg, Germany.
Objectives: Little is known about the complex interplay between urban structure and health in rapidly urbanizing cities in Nigeria.
Methods: The study broadly used very high-resolution satellite imagery and gathered primary data. With the aid of the very high-resolution imagery and identified neighborhoods, two neighborhoods each were sampled based on their classified urban structure characteristics.
J Am Acad Child Adolesc Psychiatry
January 2025
Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Electronic address:
Objective: Previous studies suggest school ethnic density is associated with less internalizing problems in Black and Latine adolescents in high school. Here, we assessed associations between school ethnic density and internalizing, externalizing, and thought problems in Black, Latine, and White pre-adolescent children (mean age=9.9 years) in elementary school.
View Article and Find Full Text PDFPLoS One
January 2025
College of Agriculture and Biological Science, Dali University, Dali, China.
Density dependence is a vital mechanism for explaining tree species diversity. Empirical studies worldwide have demonstrated that neighbor density influences plant survival and growth in various communities. However, it remains unclear how neighbor density affects plant survival and growth over extended periods.
View Article and Find Full Text PDFFront Public Health
January 2025
School of Sports Economics and Management, Xi'an Physical Education University, Xi'an, China.
Introduction: Given the world's largest and increasingly serious aging population, China has elevated "positively responding to aging of population" to a national strategy. Exploring the current state and evolutionary trends of active aging over the past decade is a fundamental prerequisite and the primary task for implementing this strategy.
Methods: Based on data from the China Health and Retirement Longitudinal Study (2011-2018), this study primarily employs methods such as the entropy method, Gini coefficient, Moran index, and Kernel density estimation to analyze the development level, regional differences, and dynamic evolution of active aging in China.
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