Application of SAADSC to analyze the influence of family function on children’s social skill development: A study combining neural networks and biological behavioral data
Abstract
Understanding the biological foundations of children’s social skill development provides critical insights into how family dynamics shape behavioral outcomes. This study leverages advanced deep learning techniques to analyze the complex interplay between family function and children’s social competence. Specifically, the self-attentive adversarial deep subspace clustering (SAADSC) algorithm was applied to process and interpret high-dimensional data, including neurobiological signals, hormonal markers, and behavioral observations. The results reveal a strong correlation between family cohesion and neural network patterns associated with social skill development. Integrating biological indicators such as cortisol levels and heart rate variability with social-behavioral metrics significantly enhanced the model’s predictive accuracy. By combining neural network analysis with biological and behavioral data, the study highlights the crucial role of biological mechanisms in mediating the influence of family environments on social development. These findings emphasize the value of interdisciplinary approaches in advancing our understanding of developmental biology and social neuroscience.
References
1. Wakimizu R, Wang T. Parenting Stress of Chinese Mothers Living and Child-Rearing in Japan and Related Factors. Open Journal of Nursing. 2022; 12(02): 181–198. doi: 10.4236/ojn.2022.122012
2. Schuler BR, Daundasekara SS, Hernandez DC, et al. Economic hardship and child intake of foods high in saturated fats and added sugars: the mediating role of parenting stress among high-risk families. Public Health Nutrition. 2020; 23(15): 2781–2792. doi: 10.1017/s1368980020001366
3. Schreiber JE, Cole JCM, Houtrow AJ, et al. Maternal Depressive Risk in Prenatal versus Postnatal Surgical Closure of Myelomeningocele: Associations with Parenting Stress and Child Outcomes. Fetal Diagnosis and Therapy. 2021; 48(6): 479–484. doi: 10.1159/000516602
4. Maughan AL, Lunsky Y, Lake J, et al. Parent, child, and family outcomes following Acceptance And Commitment Therapy for parents of autistic children: A randomized controlled trial. Autism. 2023; 28(2): 367–380. doi: 10.1177/13623613231172241
5. Haque MA, Salwa M, Sultana S, et al. Parenting stress among caregivers of children with neurodevelopmental disorders: A cross-sectional study in Bangladesh. Journal of Intellectual Disabilities. 2021; 26(2): 407–419. doi: 10.1177/17446295211002355
6. Ji YL, Lee K. Effects of parenting stress on preschoolers’ emotion regulation: mediating role of parent’s responses to children’s negative emotions. Korean Journal of Child Studies. 2021; 42(1): 119–134.
7. Wiley B, Ghanim F, Taylor K, Murias K. P.124 baseline assessment of attention and executive function deficits in children with neurodevelopmental disorders: data from a speciality attention clinic. Canadian Journal of Neurological Sciences. Journal Canadien des Sciences Neurologiques. 2021; 48(s3): S54–S55.
8. Park MN, Moulton EE, Laugeson EA. Parent-assisted social skills training for children with autism spectrum disorder: PEERS for preschoolers. Focus on Autism and Other Developmental Disabilities. 2023; 38(2), 80-89.
9. Wolf, J. P. , Freisthler, B. , & Chadwick, C. . (2021). Stress, alcohol use, and punitive parenting during the covid-19 pandemic. Child Abuse & Neglect, 117(5), 105090.
10. Shin E, Choi K, Resor J, Smith CL. Why do parents use screen media with toddlers? the role of child temperament and parenting stress in early screen use. Infant Behavior and Development. 2021; 64(5): 101595.
11. Falb KL, Asghar K, Blackwell A, et al. Improving family functioning and reducing violence in the home in North Kivu, Democratic Republic of Congo: a pilot cluster-randomised controlled trial of Safe at Home. BMJ open. 2023; 13(3): e065759.
12. Cheng A, Lai CY. Parental stress in families of children with special educational needs: a systematic review. Frontiers in Psychiatry. 2023; 14: 1198302.
13. Can C. (2024). Full-size Computer Simulation Model Design of 3D Braided Composites. Mari Papel Y Corrugado. 2024; 2024(1): 98–105.
14. Feather J, Leclerc G, Mądry A, McDermott JH. (2023). Model metamers reveal divergent invariances between biological and artificial neural networks. Nature Neuroscience. 2023; 26(11): 2017–2034.
15. Chen Z, Liang Q, Wei Z, et al. (2023). An overview of in vitro biological neural networks for robot intelligence. Cyborg and Bionic Systems. 2023; 4: 0001.
16. Guest O, Martin AE. On logical inference over brains, behaviour, and artificial neural networks. Computational Brain & Behavior. 2023; 6(2): 213–227.
17. Varley TF, Sporns O, Schaffelhofer S, et al. Information-processing dynamics in neural networks of macaque cerebral cortex reflect cognitive state and behavior. Proceedings of the National Academy of Sciences. 2023; 120(2): e2207677120.
18. Chien YC, Xiang H, Shi Y, et al. A MoS2 Hafnium Oxide Based Ferroelectric Encoder for Temporal‐Efficient Spiking Neural Network. Advanced Materials. 2023; 35(2): 2204949.
19. Vijh S, Saraswat M, Kumar S. Automatic multilevel image thresholding segmentation using hybrid bio-inspired algorithm and artificial neural network for histopathology images. Multimedia Tools and Applications. 2023; 82(4): 4979–5010.
20. Chen H, Li H, Ma T, et al. Biological function simulation in neuromorphic devices: from synapse and neuron to behavior. Science and Technology of Advanced Materials. 2023; 24(1): 2183712.
Copyright (c) 2025 Author(s)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on all articles published in this journal is retained by the author(s), while the author(s) grant the publisher as the original publisher to publish the article.
Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International, which means they can be shared, adapted and distributed provided that the original published version is cited.
Submit a Paper
