Effects of Copper Slag and Stone Dust in Concrete

Patil, Mahesh V.; Patil, Yogesh D.

doi:10.26634/jste.7.2.14483

Cited by 1 publication

(2 citation statements)

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“…Statistical analyses were performed using MATLAB (The MathWorks, Natick, MA) and SPSS (IBM Corporation, Armonk, NY), while figures were made using both MATLAB and R toolbox (ggplot2, CRAN; Patil, 2018 ). We first compared behavioral data from pre- and post-test days (see ‘Magnitude of learning’ section), the two sessions during which fMRI data were also collected, while data from the training and stimulation phase (Training Day 1, Training Day 2, Training Day 3, and Training Day 4) are presented separately (see ‘Time course of learning’ section).…”

Section: Methodsmentioning

confidence: 99%

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Attention network modulation via tRNS correlates with attention gain

Contò

Edwards

Tyler

et al. 2021

eLife

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Transcranial random noise stimulation (tRNS) can enhance vision in the healthy and diseased brain. Yet, the impact of multi-day tRNS on large-scale cortical networks is still unknown. We investigated the impact of tRNS coupled with behavioral training on resting-state functional connectivity and attention. We trained human subjects for 4 consecutive days on two attention tasks, while receiving tRNS over the intraparietal sulci, the middle temporal areas, or Sham stimulation. We measured resting-state functional connectivity of nodes of the dorsal and ventral attention network (DVAN) before and after training. We found a strong behavioral improvement and increased connectivity within the DVAN after parietal stimulation only. Crucially, behavioral improvement positively correlated with connectivity measures. We conclude changes in connectivity are a marker for the enduring effect of tRNS upon behavior. Our results suggest that tRNS has strong potential to augment cognitive capacity in healthy individuals and promote recovery in the neurological population.

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Section: Methodsmentioning

confidence: 99%

“…Throughout analysis, Levene’s test was used to test for normality and homogeneity of variance, and Brown-Forsythe correction was used to correct the F-ratio and degrees of freedom when necessary. Figures were made using MATLAB and R (ggplot2, CRAN; Patil, 2018 ).…”

Section: Methodsmentioning

confidence: 99%