Subgroup analysis of peak VO2. by Chao Gao (154531)

“…The results showed that compared to MICT, HIIT significantly increased PeakVO₂(Peak oxygen uptake)[WMD = 1.42mL /kg/min 95%CI (0.87, 1.98), P = 0.870, I² = 0%], 6MWT(6-minute walk test)[WMD = 18.60m 95%CI (2.29, 34.92), P = 0.789, I² = 0%], PHR(Peak heart rate)[WMD = 4.21bpm 95%CI (1.07, 7.36), P = 0.865, I² = 0%], DBP(diastolic blood pressure)[WMD = 3.43mmHg 95%CI (1.09, 5.76), P = 0.004, I² = 60.2%]. …”

Augmented Dicky-Fuller tests for unit roots. by Taimoor Ahmad (8940146)

“…Each wave appears to also be getting shorter, except for wave 4, which lasted longer than wave 3. A one percent increase in vaccinations decreased deaths by 0.38% (95% CI: -0.67, -0.08) in wave 5 and the association is statistically significant.…”

Time distortions are suppressed for longer Standard events. by Franklenin Sierra (12257109)

“…<b>a)</b> With a 120-ms S (corresponding to an 8.33 Hz attentive rhythm) we observed a decrease of the CE as a function of ISI: ISIs longer than 800 ms decreased subjective distortions of the stimuli. …”

H3K27ac intergenic regions bound by JUND demonstrate a significant increase in enhancer RNA (eRNA) production at labor and are associated with candidate labor-driving transcription... by Nawrah Khader (9128150)

“…C) Motifs belonging to the top ten transcription factors that are enriched at acetylated intergenic regions bound by JUND that exhibit a significant increase in eRNA at TL. D) Profile of region downstream of the labor-associated gene, <i>FOS</i>, shows significantly increased eRNA levels at TL compared to TNIL. …”

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n_empirical = 305 units from 5 recording sessions, n_shuffled = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n_empirical = 180 units from 4 recording sessions, n_shuffled = 18000 simulated units from 4 recording sessions). …”

Standardized coefficients of predictors of VO_2peak before cardiac rehabilitation (A) and a change in VO_2peak following cardiac rehabilitation (B). by Nicolai Mikkelsen (9607129)

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Carbon peaking data in each scenario. by Yanyan Ke (16443525)

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Comparison of adverse prognosis in patients with different levels of serum sodium peak. by Xu Liu (276996)

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Peak VO₂ in HF. by Shengyuan Gu (16846183)

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Peak joint contact forces during squats with different intensities. by Alexander Pürzel (21781635)

The peaks of six principal components on the spectrum. by Jie Zeng (315334)

Comparison of the lowest peak area of metabolites. by Jie Zeng (315334)

Increasing the number of (T)GCATG motifs in clusters does not increase the gene isoform expression change. by Francesco Tomassoni-Ardori (22216521)

“…Note the dramatic inverse correlation in the number of genes with eCLIP peaks as clusters have increased (T)GCATG motifs number. ** p ≤ 0.01; *** p-value≤ 0.00001; ns, non-significant.…”

Peak height enrichment analysis along the Z chromosome. by Ana Catalán (2633566)

Molecular mass of peak samples of HWHF by LC-MS analysis. by Prawej Ansari (12191266)

Significant Spearman’s correlations between pollen season parameters and meteorological factors in Lublin in the period 2001-2022 and 2011-2022 at the 0.05 significance level. by Krystyna Piotrowska-Weryszko (11320630)

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Characteristic FT-IR peaks of CC and Eudragit E100. by Israa Saad Mustafa Ali (18778149)

Comparison of stiffness, absorbed energy, and peak force by sex and hydration state at the Greater Trochanter. by Fatemeh Khorami (22041563)

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Peak slope and offset in V1 among the three representative participants. by Yuji Uchiyama (135480)

Example of predicted effects of choice bundling on preference for larger, later rewards (LLRs) over smaller, sooner rewards (SSRs). by Jeffrey S. Stein (11689918)