Exponential phase cells express high levels of ribosomal protein genes. by Justin Greene (306625)

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Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on in the guaicaolperoxydase activity (GPOX) in shoots (... by Amal Bouallegue (21512298)

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on malondialdehyde (MDA) level in shoots (A) and roots (... by Amal Bouallegue (21512298)

Greene et al. raw datasets. by Justin Greene (306625)

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Full RNA-seq dataset: list of genes with heightened reads in stationary phase. by Justin Greene (306625)

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Full RNA-seq dataset: list of genes with heightened reads in exponential phase. by Justin Greene (306625)

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Effect of Oxamate, LBP, or their combination on partial glycolysis metabolites in A549 and NCL-H1975 cells after 24 hours of treatment. by Siyu Yuan (7425719)

The Karolinska Sleepiness Scale (KSS) is a 9-point Likert scale, ranging from “extremely 1 = alert” to “9 = extremely sleepy–fighting sleep” [44]. by Marcel F. Hinss (14675457)

Targeting of Vps34 or Atg14, but not Uvrag, in Tregs reduces tumor growth in mouse models. by Erienne G. Norton (9612079)

Knockdown of LDHA reduced cell viability and LDH activity in A549 and NCL-H1975 cells, enhancing chemotherapy sensitivity to LBP. by Siyu Yuan (7425719)

T1w images (top row) and segmented PVS overlaid on T1w images (bottom row) at TP of 0M, 3M, 12M, and FollowUp for a typical patient. by Ruitian Song (11045127)

Estimates of the differencing parameter, d, in Eq (1). by Luis Alberiko Gil-Alana (14659817)

Estimates of the differencing parameter, d, in Eq (1). by Luis Alberiko Gil-Alana (14659817)

Estimated coefficients based on the selected model in Table 4. by Luis Alberiko Gil-Alana (14659817)

Estimated coefficients based on the selected model in Table 3. by Luis Alberiko Gil-Alana (14659817)

Search strategy. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 1 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

GMT by age cohort for PWH and PWoH. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 4 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Difference in GMT for HPV16 and HPV18 in PWH. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”