Calibration curve showing the linearity of the method: Neu5Ac. by Hyo Jeong Kim (7490237)

Multiple linear regressions for the predictors of the 24 character strengths and 6 virtues between the two groups. by Ghina Ghazeeri (766076)

Intensity comparation of significantly changed metabolites of four groups of control, model, YYD and RER groups. by Guanwen Gong (9693076)

Display of printed components. by Jin Zhang (53297)

Subjects:

Linearity coefficients of calibration curves for all six compounds (acetamiprid, azoxystrobin, estrone, estriol, progesterone, and testosterone). by Ekramy Halawa (11785086)

Structural model testing for the direct influence of internal control components on financial accountability (FA). by Naseem Al Rahhaleh (15810790)

The principal component analysis (PCA) of the QSAR model predictors in the training set. by Alireza Mohebbi (8898170)

Subjects:

DataSheet1_Significance of cuproptosis- related genes in the diagnosis and classification of psoriasis.PDF by Qingyuan Lin (13166349)

“…The biological roles of CRGs were identified by GO and KEGG enrichment analyses, and the candidates of cuproptosis-related regulators were selected from a nomogram model. The consensus clustering approach was used to classify psoriasis into clusters and the principal component analysis algorithms were constructed to calculate the cuproptosis score. …”

DataSheet2_Significance of cuproptosis- related genes in the diagnosis and classification of psoriasis.PDF by Qingyuan Lin (13166349)

“…The biological roles of CRGs were identified by GO and KEGG enrichment analyses, and the candidates of cuproptosis-related regulators were selected from a nomogram model. The consensus clustering approach was used to classify psoriasis into clusters and the principal component analysis algorithms were constructed to calculate the cuproptosis score. …”

The rat calcium oxalate nephrolithiasis model exhibits significant mitochondrial dynamics disorder and damage to biosynthesis. by Junfa Liu (209177)

Subjects:

Linear regression between PCDD/F TEQ and ∑PCDD/F in different study areas. by Matti Viluksela (321291)

Linear regression between PCB TEQ and PCDD/F TEQ in different study areas. by Matti Viluksela (321291)

Ablation study using different components. by Poonam Sharma (467670)

Definitions, formulas and significances of selected topographic factors. by Yuwen Chen (7055768)

Multivariable linear regression analyses for predicting factors. by Maurice Pradella (11678817)

Dose- and time-dependent effect of IFN-γ and TNF-α on benzamil-sensitive <i>I</i>_sc and TEER in HBECs. by Anusree Sasidharan (19226521)

Variables used in the models, their descriptions, and rationale for their inclusion in the models. by André-Philippe Drapeau Picard (19935390)

Statistical significance of the assessment center terms in phenotype prediction. by Yosuke Tanigawa (8805017)

Distribution of selected significant DMRs among genomic regions. by Moonju Hong (4060228)

Notification delay and its components. by Kamran Najeebullah (11308595)