Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

Subjects:

Distribution of patients in the 4 age groups, mean value of IC-volume from both sides and separately for the left and right ICs. by Pingling Kwok (14896191)

Subjects:

Stability differences between condition 1 and other conditions across participants on the hemiparetic (HP) side. by Hyung Suk Yang (20442438)

Subjects:

Analysis of Significantly Different Bacteria. by Xu Jia (187142)

Depression, anxiety, and stress as predictors of implemental delay and school burnout. by Katarzyna Markiewicz (20489903)

Subjects:

Decreased clonogenic capacity of U87MG and U251MG GB cells following treatment with SHG-44 and cis-platin at equal concentrations. by Denis Mustafov (19137870)

Data Sheet 1_Validation of an MPS-based intestinal cell culture model for the evaluation of drug-induced toxicity.docx by Stefanie Hoffmann (3756733)

“…Overall, from the 23 tested compounds, 15 showed the expected outcome, i.e., the compound led to a decrease of the TEER for the positive control compounds, or the TEER value remained stable after treatment with non-GI-toxic compounds.…”

Sociodemographic and economic factors of study subjects, Ethiopia, EDHS 2005–2016 (N = 29,525). by Girma Beressa (9580436)

Subjects:

Multivariable multilevel mixed-effects logistic regression analyses of zinc utilisation and predictors among under-five children with diarrhoea, Ethiopia, 2005–2016 (N = 29,525). by Girma Beressa (9580436)

Subjects:

Side effect. by My Tra Thi Nguyen (22120541)

Analysis of Significantly Different ARGs and Resistance Mechanisms. by Xu Jia (187142)

Response of stranding abundance to the environmental predictors. by Regiane da Silva Rodrigues (21100391)

Response of stranding diversity to the environmental predictors. by Regiane da Silva Rodrigues (21100391)

Response of stranding richness to the environmental predictors. by Regiane da Silva Rodrigues (21100391)

Table 1_Ultrasonographic assessment of optic nerve sheath diameter on the affected and unaffected sides as a predictor of clinical deterioration at discharge in patients with large... by Changlan Li (704841)

“…The optimal cut-off for predicting deterioration was 5.54 mm for affected-side ONSD (sensitivity 81.3%, specificity 78.9%, AUC = 0.814) versus 5.57 mm for the unaffected-side (68.8, 78.9%, AUC = 0.757), with no significant AUC difference between sides. …”

Demographics of the study population. by Sohyun Park (78358)

“…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”

Table 3 - by Sohyun Park (78358)

“…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”

Descriptive statistics of the sample. by Alex Bawuah (21702688)

“…This paper explores the demand-side predictors of newborn weighing.</p><p>Methods</p><p>Data were obtained from the Demographic and Health Surveys (DHS) of 16 countries in SSA, conducted from 2014 to 2021. …”

Sample size characteristics. by Alex Bawuah (21702688)

“…This paper explores the demand-side predictors of newborn weighing.</p><p>Methods</p><p>Data were obtained from the Demographic and Health Surveys (DHS) of 16 countries in SSA, conducted from 2014 to 2021. …”

Data used for the Study. by Alex Bawuah (21702688)

“…This paper explores the demand-side predictors of newborn weighing.</p><p>Methods</p><p>Data were obtained from the Demographic and Health Surveys (DHS) of 16 countries in SSA, conducted from 2014 to 2021. …”