Parameter sets generated through Latin hypercube sampling. by Alexandra M. Campbell (3284094)

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Each square gives extinction probability p (AB) or median population change d (CD) for 100 simulations at . by Alexandra M. Campbell (3284094)

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Lifespan of a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

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RNA libraries Quality control measures, including filtration. by Xueyang Wang (6813818)

Characteristics of included studies. by Bwambale Jonani (21156747)

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VBPBB and GSBB 95% confidence intervals for the smallest and largest values in each confidence band. by Megan Di Maio (19556597)

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

Preparatory neuronal activity in ALM is decreased, but remains significant in quiet trials devoid of movements. by Vahid Esmaeili (12700352)

Included and excluded survey responses. by Danielle Owerko (14691654)

“…</p><p>Conclusions</p><p>Significant variations in knowledge and management of NH were identified among pediatric specialties. …”

Characteristics of the included studies. by Ramesh Lamichhane (20324005)

“…Subgroup analysis based on country revealed a significant regional variation in vaccination rate (59% in Pakistan, 57% in India, 55% in Nepal, and 41% in Bangladesh; <i>P</i> < 0.01). …”

LISA significance map. by Bibian N. Robert (17457829)

Summary of characteristics in included studies. by Dimuthu Rathnayake (11355946)

Detected genetic variations. by Esfandiar Azadmarzabadi (11402345)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

Risk of bias assessment of included RCTs. by Catherine Arundel (3558773)

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Characteristics of the included studies. by Xiqun Jia (17981288)

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Cox-proportional hazard analysis for risk of composite endpoint in waitlisted candidates in Groups 1 & 2, multi-variate analysis (including factors considered relevant / significant in univariate analyses). by Durga Anil K. Kanigicherla (9574911)

“…<p>Cox-proportional hazard analysis for risk of composite endpoint in waitlisted candidates in Groups 1 & 2, multi-variate analysis (including factors considered relevant / significant in univariate analyses).…”

Funnel plot of the included studies. Egger’s test did not indicate significant publication bias (z  = −1.0148, p = 0.3102). by Megan Doyle (14583058)

Cluster mean values of the studied agro-morphological traits of the soybean genotypes and their clustering, including least significant difference (LSD) values and significance lev... by Abebawork Tilahun Assfaw (22410858)