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All Journal Journal of Tropical Crop Science Journal of Electronics, Electromedical Engineering, and Medical Informatics
Das, Biswajit
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Insights into Nerve Signal Propagation: The Effect of Extracellular Space in Governing Neuronal Signal for healthy and injured Nerve Fiber using Modified Cable Model Das, Biswajit; Bujar Baruah, Satyabrat Malla; Singh, Sneha; Roy, Soumik
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 2 (2024): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i2.394

Abstract

Nerve injuries are complex medical conditions that may arise from a variety of traumatic events or diseases, altering the intricate structure of neural pathways. During neuronal injury, the potassium and sodium ion concentration that controls signaling endures significant changes such as the ion channels getting blocked or an increase in the intracellular ionic concentration. The Extracellular Space which surrounds a nerve fiber has a significant impact on the neuronal signal and variation in its size can alter neuronal signal transmission. Hence, to fully understand neuronal signal transmission, it is essential to explore the effect that the Extracellular Space exerts on the neuronal signal. The aim of this study is to develop a mathematical model which yields a simplistic yet robust mathematical expression of the nerve membrane potential, incorporating the Extracellular Space dependent parameters for having a holistic approach towards understanding neuronal signal transmission in healthy and injured nerve fiber. The conventional cable model focuses solely on the intrinsic properties of the nerve fiber, but the current work expands this model by incorporating the Extracellular Space dependent parameters into the final membrane potential expression. The results obtained from this study shows that certain combination of the Extracellular Space and fiber diameter could bring about hyperexcitation whereas in some cases it may lead to hypoexcitation to the neuronal signal as it propagates along the nerve fiber. Moreover, prolonged refractory period and delayed refractory period are also observed in certain combination of the Extracellular Space and fiber diameter. The proposed framework manages to show trends associated with certain medical conditions and may also be useful to further understand, and early diagnosis of various neurological conditions under the effect of an Extracellular Space of varied sizes.
Genetic Variability, Heritability, Genetic Advance, Correlation, and Path-Coefficient Analysis for Yield Attributing Traits in Chia (Salvia hispanica L.) Mondal, Upama; Naim, Jannatul; Akter, Sadia; Das, Biswajit; Abdullah, Adrita; Aurin, Fauzia Afrin; Hossain, Mohammad Anwar
Journal of Tropical Crop Science Vol. 12 No. 03 (2025): Journal of Tropical Crop Science
Publisher : Department of Agronomy and Horticulture, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jtcs.12.03.647-662

Abstract

Chia (Salvia hispanica L.) is a promising multifunctional crop renowned for its numerous health benefits. It is essential to comprehend the genetic variability of chia and how various variables impact seed yield to increase its genetic improvement under the agro climatic conditions of Bangladesh. A field experiment was conducted using eight chia genotypes to assess genetic diversity, heritability, and genetic advance (GA), as well as the correlation coefficients for eight factors and their level of association with yield. Analysis of variance results showed significant variation for all the traits, i.e., the number of branches per plant, the number of inflorescences per plant, the length of the main inflorescence, the number of seeds per floret, and seed yield per plant, which differed significantly from one another. GPBC 1, BAU Chia 2, BAU Chia 1, and GPBC 3 were found to be promising genotypes for yield-attributing traits. Higher genotypic and phenotypic coefficient of variation was observed for seed yield per plant and the number of inflorescences per plant. High heritability coupled with high GA% was recorded for the number of inflorescences per plant and seed yield per plant. Seed yield per plant was positively correlated with the number of inflorescences per plant, the length of the main inflorescence, and plant height, while being negatively correlated with days to first flowering and days to maturity. Plant height and the number of inflorescences per plant had the highest direct positive effect on seed yield per plant as revealed through path analysis. The first four principal components contributed 84% of the total variation. The results of the current research may help choose better genotypes and traits for chia breeding initiatives to increase yield.
Co-Authors Abdullah, Adrita Akter, Sadia Aurin, Fauzia Afrin Bujar Baruah, Satyabrat Malla Hossain, Mohammad Anwar Mondal, Upama Naim, Jannatul Roy, Soumik Singh, Sneha