Material parameters of the sample and projectile [21]. by Huashen Guan (20454677)

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Residual stress results of the finite element model: (a) comparison between surface residual stress and test values; (b) distribution along the depth direction. by Huashen Guan (20454677)

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Surface roughness of various samples. by Huashen Guan (20454677)

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Microstructure of various samples: (a) UT, (b) SP1, (c) SP2, and (d) SP3. by Huashen Guan (20454677)

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Friction coefficients of various samples: (a) UT, (b) SP1, (c) SP2, and (d) SP3. by Huashen Guan (20454677)

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Conditional deletion of C/EBP in epidermis results in downregulation of transcripts and pathways associated with lipid biosynthesis in epidermis. by Kevin J. Mills (9270966)

UHPLC-MS CKO vs K5Cre results. by Kevin J. Mills (9270966)

“…Lipidomic analysis of epidermis using advanced chemical separations and tandem mass spectrometry identified 470 individual lipids in epidermis with 165 significantly decreased and 82 significantly increased in CKO epidermis. …”

Uncropped raw western blot images. by Kevin J. Mills (9270966)

“…Lipidomic analysis of epidermis using advanced chemical separations and tandem mass spectrometry identified 470 individual lipids in epidermis with 165 significantly decreased and 82 significantly increased in CKO epidermis. …”

LC-IMS-CID-MS CKO vs K5Cre results. by Kevin J. Mills (9270966)

“…Lipidomic analysis of epidermis using advanced chemical separations and tandem mass spectrometry identified 470 individual lipids in epidermis with 165 significantly decreased and 82 significantly increased in CKO epidermis. …”

Phospholipid metabolism CKO vs K5Cre Reactome. by Kevin J. Mills (9270966)

“…Lipidomic analysis of epidermis using advanced chemical separations and tandem mass spectrometry identified 470 individual lipids in epidermis with 165 significantly decreased and 82 significantly increased in CKO epidermis. …”

Predicted functional profiles of the <i>C. capitata</i> gut microbiota in control (C) and treated (T) samples. by Maria Cecilia Rasuk (4594303)

Functional feature prediction of intestinal microbiota from healthy (blue) and diseased (orange) shrimp. by Lalitphan Kitsanayanyong (19353505)

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Hypothesis 3: The mean difference between “Class 1” (a school attack happens within <i>k</i> kms. of a given school) and “Class 0” (no school attack happens within <i>k</i> kms. of... by Lirika Sola (21560710)

The predicted IC50 values of Axitinib in the low- and high-GSRS cases. by Yu Zhang (12946)

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ROC Results Predicted in the Sample. by Fangyi Yang (18867853)

“…The model estimation results indicate that passenger patience significantly influences drop-off decisions. All models—static, dynamic, and Cox proportional hazards—achieved prediction accuracies exceeding 70%, with the dynamic model outperforming others when ample sample data is available. …”

Logistic regression analysis to predict the efficacy for liver function. by Naruyoshi Gyoutoku (22537831)

Relationship between ordinal regression and binary classification performance. by Thierry Jean (20691795)

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Passive sensing data. by Thierry Jean (20691795)

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Binary classification task performance. by Thierry Jean (20691795)

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Time-based splitting strategy and forecast horizons. by Thierry Jean (20691795)

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