Small networks of cortical neurons change from irregular, tonic-like firing in W to rhythmic, ON/OFF burst-like activity in NREMS. by Kaoru Ohyama (8911646)

“…For ON to OFF transitions firing before transition was 2.5±0.29 Hz decreasing to 0.98±0.09 after the transition (N = 253 transitions, p<0.01, t = 6.53, paired Student's t-test). …”

Impact of Fixed Nitrogen Availability on Dehalococcoides mccartyi Reductive Dechlorination Activity by Devrim Kaya (8039411)

“…Quantitative polymerase chain reaction (qPCR) revealed that Cornell-type <i>Dhc</i> capable of N₂ fixation dominated PW4 cultures without NH₄⁺, but their relative abundance decreased in cultures with NH₄⁺ amendment (i.e., 99 versus 54% of total <i>Dhc</i>). …”

Profile of study locations and participants. by Hammed O. Mogaji (9421930)

“…In Ese-Odo, significant risk factors for STH infection included the use of hand-pump boreholes (AOR: 2.44, 95% CI: 1.23–4.88, <i>p</i> = 0.01), unprotected dug wells (AOR: 3.25, 95% CI: 0.96–11.36, <i>p</i> = 0.06), ventilated improved pit latrines (AOR: 3.95, 95% CI: 1.13–16.1, <i>p</i> = 0.04), pit latrines without a slab (AOR: 2.19, 95% CI: 1.27–3.8, <i>p</i> = 0.01), and failure to use soap after defecation, both when soap was available (AOR: 12.09, 95% CI: 1.86–112.97, <i>p</i> = 0.01) and when soap was unavailable (AOR: 8.19, 95% CI: 1.73–76.65, <i>p</i> = 0.04). …”

Cell-autonomous Cbln1 is required for cerebellar granule cell axon growth. by Peng Han (623382)

“…<p>(<b>A</b>) In situ hybridization of <i>Cbln1</i> in cerebella during P4 and P8. …”

Dataset: Increased Organic Carbon Burial in Northern Florida Mangrove-Salt Marsh Transition Zones by Derrick Vaughn (7900301)

“…Combined effects of rising temperatures, decreasing freeze frequencies, and increasing sea-level rise rates are resulting in mangrove replacement of salt marshes along the southern United States. …”

HLA high-resolution typing by next-generation sequencing in Pandemrix-induced narcolepsy by Alexander Lind (5221088)

“…Alleles with increased frequency in <i>DQA1*01</i>:<i>02</i>:<i>01</i> (p = 1.07E^-2) and <i>DQA1*03</i>:<i>02//*03</i>:<i>03</i>:<i>01</i> (p = 3.26E^-2), as well as with decreased frequency in <i>DRB3*01</i>:<i>01</i>:<i>02</i> (p = 8.09E^-3), <i>DRB1*03</i>:<i>01</i>:<i>01</i> (<i>p</i> = 1.40E^-2), and <i>DQB1*02</i>:<i>01</i>:<i>01</i> (<i>p</i> = 1.40E^-2) were found among patients compared to their FDR. …”

Supplementary file 2_Quantile regression application to identify key determinants of malnutrition in five West African countries of Gabon, Gambia, Liberia, Mauritania, and Nigeria.... by Reshav Beni (21422981)

“…</p>Method<p>This study employed a quantile regression model to examine the determinants of malnutrition at various quantiles of interest across the Western African countries under consideration to facilitate focused policy measures and intervention strategies aimed at decreasing the prevalence.…”