INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MATHEMATICAL THEORY (IJCSMT )
E-ISSN 2545-5699
P-ISSN 2695-1924
VOL. 11 NO. 2 2025
Dr Oluwatoyin Mary Yerokun, Prof Dipo Theophilus Akomolafe
This study investigates the effects of natural binary patterns (NBPs) on cognition and perception in digital and analogue populations. The researchers compared cognitive processing attention and emotional regulation in one hundred participants fifty (50) digital natives (DN) and fifty (50) analogue natives (AN) using behavioral experiments. Results show that there are significant differences in attentional abilities, memory performance and emotional processing between DNs and ANs when exposed to NBPs. DNs exhibited reduced attentional abilities and increased cognitive load while ANs demonstrated better memory performance and emotional regulation. Our findings suggest that NBPs have a profound impact on cognition and perception, influenced by technological exposure. This research informs strategies for mitigating technological overload and promoting cognitive wellbeing in the digital age. It enhances the understanding of the interplay between technology, cognition and perception.
Akomolafe, D. & Yerokun, O. M. (2022). Emergence of Digital Systems through Indigenous
Knowledge. Asian Journal of Pure and Applied Mathematics 4(3): 139-157, 2022; Article
no.AJPAM.922.
Awati, R (2024) WhatIs – Definition Binary. TechTarget. www.computerweekly.com.
Bentley,
P.
(2022).
How
do
you
read
binary
numbers.
Science
Focus.
www.sciencefocus.com/science/how-to-read-binary
Boashash B. and Ben-Jabeur, T. (2015). Time-Frequency Features for Pattern Recognition Using
High-Resolution TFDs: A Tutorial Review. Natural Signal – ScienceDirect.
www.sciencedirect.com/topics/computerscience/natural-signal
Ghulaxe, P.P. (2024): THE RUBRICS JOURNAL OF INTERDISCIPLINARY STUDIES
International, Indexed and Peer Reviewed e-Journal, Vol.6 Issue 2 Pp 1326 – 1331
Olorode, O. (2016). Overcoming the Challenges of Development through Indigenous Knowledge;
a Public Lecture Delivered at the Ondo State University of Science and Technology,
Okitipupa, Ondo State, Nigeria. Unpublished.
Pooja, K., Dhawale, 1, Rekha, C. & Maggirwar, A. (2024). Diversity of Arbuscular Mycorrhizal
Fungi and their Symbiotic Association with Salvia splendens. The Rubrics Journal Of
Interdisciplinary Studies, Vol.6(2), March 2024. e-Journal www.therubrics.in.
Samuel, O.W. and Omisore, M.O. (2013). Hybrid Intelligent System for the Diagnosis of Typhoid
Fever. Journal of Computer Engineering & Information Technology, Volume 2(2), 1-9.
Suhas M Pidhekar (2024): Technology Integration in Higher Education: Life Science and
Technology
Narendra
Manwar1
and
THE
RUBRICS
JOURNAL
OF
INTERDISCIPLINARY STUDIES International, Indexed and Peer Reviewed e-Journal,
Vol.6 Issue 2. Pp 1304=1309. www.rubrics.com
Surhatono, D, Aditya, W. Lestari, M. and Yasin, M. (2013). Expert system in detecting coffee plant
diseases. International Journal of Electrical Energy, 1(3), 156-162.
Yerokun, O.M, Owolabi, A.A., Iyawa, I.J. & Nwanze, M.N. (2022). Using Expert System for
Industrial Utilization of Leguminous Crops. Computer Networks (Elsevier) Volume 216
(24) August 2022, 108798.
Yerokun, O.M. & Onyesolu, M.O. (2021): On the Development of Neuro-Fuzzy Expert System
for Detection of Leghemoglobin (NFESDL) in Legumes. Journal of Digital Innovations &
Contemp Res. in Science, Engineering & Technology. Vol. 9, No. 1. Pp 129-140 DOI:
dx.doi.org/10.22624/AIMS/DIGITAL/V9N1P1
Yerokun, O.M. (2024). Artificial Intelligence in Indigenous Knowledge and Practices: A
Comparative Analysis. The Rubrics Journal Of Interdisciplinary Studies, Vol.6(2), March
e-Journal www.therubrics.in.
Yerokun, O.M., Erukpe, O.B. & Nwanze, M.N. (2024). Design of an Automated System for
Synthesis of Gold Nanoparticles from Thaumatococcus Daniellii (Sweet Prayer Leaf).
Science
Direct
(Computer
Science
Review)
Volume
52,
May
https://www.sciencedirect.com/journal/computer-science-review