Impact of p53 T253I on DNA damage responsive mRNA expression. by Nathaniel C. Holcomb (22793595)

Differences in glenohumeral joint stability (A) and muscle force of the infraspinatus (B), and subscapularis (C) in models with and without cuff tears. by Shobu Nakashima (22537717)

Stable incorporation of p53 lentiplasmids is detectible and does not impact cellular growth rates. by Nathaniel C. Holcomb (22793595)

MST1was downregulated in macrophages from fibrotic livers of <i>S</i>. <i>japonicum</i>-infected mice and SEA-treated RAW264.7 cells. by Jianyang Li (461703)

TMS recapitulates epigenetic age predictions and tissue-dependent effects identified via other technologies. by Amy Longtin (21409957)

Mutant p53 proteins have impaired DNA binding and transcriptional regulation. by Nathaniel C. Holcomb (22793595)

MST1 upregulates CD36 expression via PPARγ. by Jianyang Li (461703)

Alveolar bone collagen content and fiber dimensions were assessed through Picrosirius red. by Deborah Ribeiro Frazão (9188152)

Effects of injury on exploratory behavior. by Ella R. Dockendorf (21533334)

Untargeted metabolomic profiling of sera from Omicron variant cases of the discovery cohort. by Feng Gao (3548)

Effects of injury on operant conditioning and memory. by Ella R. Dockendorf (21533334)

Sox2 is upstream of <i>Atoh1</i> and <i>Huwe1</i> in embryonic development and <i>Huwe1</i> knockdown results in hair cell generation from dividing supporting cells. by Yen-Fu Cheng (5819855)

Retention and extinction of operant learning. by Ella R. Dockendorf (21533334)

Effect of injury on negative phototaxis. by Ella R. Dockendorf (21533334)

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”

Table_1_The influence of multivitamins on neurological and growth disorders: a cross-sectional study.DOCX by Jiaxiao Zhu (19739362)

“…</p>Results<p>In the adjusted logistic regression, serum 25 hydroxyvitamin D [25(OH)D], vitamin B2, and vitamin B9 were associated with decreasing risks of neurological disorders, whereas vitamin A, vitamin B1, and vitamin B12 were associated with increasing risks of neurological disorders. …”

Effect of Molecular Structure on the B3LYP-Computed HOMO–LUMO Gap: A Structure −Property Relationship Using Atomic Signatures by Ahmed Mohamed (628889)

“…However, the search for new organic compounds with a low <i>E</i>_gap is an expensive endeavor due to the exponentially increasing pool of virtual compounds. …”

Fig 1 - by Taher Mohammadizad (19786989)

S1 Data - by Taher Mohammadizad (19786989)

“…The TNC and ACTM100 groups also showed greater (<i>P</i> < 0.05) feed efficiency, tibia length, tibia zinc content, and hepatic SOD1 expression but exhibited reduced (<i>P</i> < 0.05) hepatic NF-kB expression. Significant increases (<i>P</i> < 0.05) in primary anti-NDV titers, serum GPx1 activity, and Nrf2 and GPx1 gene expression levels were also detected in the ACTM100, ITM+ACTM12.5, and ITM+ACTM25 groups. …”

Reduction of L O-ag production and antigenic shift to O2-antigen in by Fermin E. Guerra (6084545)

“…<p><b><i>S.</i> Paratyphi A decreases IgM binding. …”