Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)

Means for STEM competence for pre- and post-test. by Esther Kim (2996622)

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Measures. by Esther Kim (2996622)

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The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Additional file 2 of B2M or CIITA knockdown decreased the alloimmune response of dental pulp stem cells: an in vitro study by Mingxin Hu (8630814)

Additional file 1 of B2M or CIITA knockdown decreased the alloimmune response of dental pulp stem cells: an in vitro study by Mingxin Hu (8630814)

Additional file 3 of B2M or CIITA knockdown decreased the alloimmune response of dental pulp stem cells: an in vitro study by Mingxin Hu (8630814)

Decrease in loss during the training process. by Muhammad Idrees (92773)

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

<b> </b> Rate of brain weight to body weight in different experimental groups. AlCl3 treatment caused a significant decrease in brain-to-body weight with respect to the control gro... by Atefeh Sadeghi (21253051)

NSC population and proliferation decrease drastically during the second postnatal week of DG development. by Cristina Medina-Menéndez (21800157)

AdMSC-EVs enhanced colony formation and migration of LECs and decreased proliferation. by Xiaoqin Li (1399105)

Stem cell sphere formation test shows that compared with the WT group, the seven MUT plasmids of NANOG protein can inhibit the stem cell sphere formation efficiency of HCT116 stem... by Yin Tian (181303)

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Development of a machine learning method for predicting neutrophil-specific functional genes. by Guihua Wang (286390)

“…<p>(A) NeuRGI model training workflow involved: 1) extracting gene features from various databases. 2) using genes of neutrophil-related genes as positives and PU-learning as negatives. 3) balancing the training set with under-sampling and training the NeuRGI random forest model with 10-fold cross-validation, then employing a Gaussian Mixture Model (GMM) with NeuRGI scores to identify potential positives. 4) using OntoVAE for <i>in silico</i> knockout of GMM-classified genes to find key regulatory factors for guiding follow-up experiments. …”

<b> </b> Spatial memory assessment in Morris water maze test. 5A: Effect of different treatments on time spent in the target zone. Alcl3 significantly decreased the time spent in t... by Atefeh Sadeghi (21253051)

The motor torque curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. by Taochang Li (20642935)

The motor speed curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. by Taochang Li (20642935)

Epithelial stem cell engulfment of an apoptotic extracellular vesicle. by Safia A. Essien (20108379)

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