EF-24 treatment significantly reduces cell viability in leukemia cell lines. by Ajeet P. Singh (22298432)

a-d. Difference in (a) probing depth; (b) clinical attachment level; (c) bleeding on probing, and (d) plaque index values between baseline and six months after treatment using syst... by Iva Milinkovic (22331710)

Mortality of <i>C. maculatus</i> after 24h exposure to GO and GO-GA NPs. by Huda H. Elbehery (22492996)

Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

“…Pre- and postoperative data are compared by Tukey’s HSD test and asterisks mean statistical significance (p < 0.05). IOP decreases significantly from 3 to 12 months after surgery whereas GMS decreases from one day to 12 months after surgery. …”

The impact of MDA on hookworm prevalence and intensity of infection stratified by treatment with IDA or DA. by Jannet A. Tobon Ramos (20855642)

NIE ELISA results. by Jannet A. Tobon Ramos (20855642)

“…Using a logistic regression model adjusting for age, gender, baseline hookworm prevalence, and village drug coverage, IDA resulted in a 45% greater reduction in hookworm prevalence than DA (Odds ratio 0.55, 95% CI [0.31,0.99], <i>p</i> = 0.049). …”

Kato Katz and PCR database 12 months collection. by Jannet A. Tobon Ramos (20855642)

“…Using a logistic regression model adjusting for age, gender, baseline hookworm prevalence, and village drug coverage, IDA resulted in a 45% greater reduction in hookworm prevalence than DA (Odds ratio 0.55, 95% CI [0.31,0.99], <i>p</i> = 0.049). …”

Master database baseline, 4 weeks and 1 year. by Jannet A. Tobon Ramos (20855642)

“…Using a logistic regression model adjusting for age, gender, baseline hookworm prevalence, and village drug coverage, IDA resulted in a 45% greater reduction in hookworm prevalence than DA (Odds ratio 0.55, 95% CI [0.31,0.99], <i>p</i> = 0.049). …”

Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

“…The mean GMS was 2.46 ± 1.33 preoperatively, and decreased to 1.32 ± 1.31 at 3 months, and 1.60 ± 1.41 at 12 months postoperatively. …”

Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

“…The mean GMS was 2.46 ± 1.33 preoperatively, and decreased to 1.32 ± 1.31 at 3 months, and 1.60 ± 1.41 at 12 months postoperatively. …”

(A) Appearance image of psoriasis on the back skin of mouse. by Xiaoqiang Huang (1457860)

Data for Figs 1A–1I, 2A–2J, 3B–3H, 4A–4L, 5A–5C, 6A–6C, 6E, by Xiaohua Zhang (350570)

The PP1/PP2A inhibitor calyculin A increases phosphorylated Ser295 of PSD-95 concomitantly with the activation of JNK1. by Takahiko Chimura (729098)

BMI groups by SES. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”