Fig 4 - by Maha Rehman (17114332)

(a) Surface area and volume change with water level; (b) Topographic changes in the Caspian Sea. by Zihao Duan (17403792)

Predicted <i>cis</i>-acting elements in <i>DpAP2</i> promoter. by Lingru Ruan (18995544)

“…It was speculated that MeJA significantly decreased expression of <i>DpAP2</i> gene, then the decreasing <i>DpAP2</i> expression significantly inhibited expression of some key enzyme genes such as <i>PSY</i>, <i>PDS</i> and <i>GGPS</i> in carotenoid biosynthesis pathway. …”

S1 Graphical - by Agnieszka Murawska (11021928)

“…Administered alone, acetamiprid significantly decreased the level of urea in the hemolymph of worker honey bees. …”

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). …”

Baseline characteristics of 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). …”

Diagram of study 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). …”

Causal relationships between allergic diseases and significant declines in lung function: a multivariable Mendelian randomization study by Jiannan Lin (6954983)

“…However, in multivariable MR analysis, the independent effects of atopic dermatitis and allergic conjunctivitis on lung function were no longer significant. Only allergic asthma continued to show a significant causal relationship with decreased lung function (OR [95%CI]: 1.019 [1.008–1.030], <i>p</i> < .001).…”

Effects of clonal integration and <i>Bacillus subtilis</i> on total flavonoids (A, C, E) and chlorogenic acid (B, D, F) of the basal, apical portion, and whole fragment of <i>Glech... by Bing-Nan Zhao (21553401)

Two magnifications SEM; (A and B) and TEM (C and D) images for the produced TiO₂ nanofibers. by Nasser A. M. Barakat (11705885)

Voxel representation of a 3D binary image (left) and its corresponding graph of connected pore space voxels (right). by Mouad Klai (20818364)

Correlation between age and telomere age (TMA). by Chul-young Bae (14709766)

“…<div><p>Telomere length is a known indicator of biological aging, typically decreasing with age. …”

Effects of CGA on renal biochemical markers. by Liping Bao (2936715)

“…The aims of this study were to evaluate the renoprotective effect of CGA and to elucidate the anti-inflammation mechanisms involved. In the present study, we established a diabetic rat model to investigate the renoprotective effect of CGA in vivo. …”

S1 Raw data - by Dominic Michael Rasp (19959412)

“…There were no further variations in hamstring strength within the simulated soccer match for either leg. We did neither measure significant recovery of hamstring strength to pre-match values at the beginning of the second half, as suspected by previous research, nor inter-limb differences, or a deterioration of limb asymmetries in hamstring strength during the simulated soccer match. …”