Potato gene ontology enrichment results significant at <i>p</i> < 0.01. by Margaret A. Carpenter (6104180)

RTA408 significantly reduces RGCs loss. by Hongmei Qian (538647)

Mortality dataset used in analysis. by Samuel Sendagala (21417164)

Subjects:

MiR-129-5p levels were decreased in mouse depression models. by Qiaozhen Qin (13159201)

“…</b> The KEGG pathway analysis identifies the number of target genes within each pathway. Those with a p-value < 0.05 are considered significant. <b>L.…”

A flow diagram outlining the number of dogs in each group during the study (visit 1 = day 0, visit 2 = day 35, and visit 3 = day 70). by Nattapon Riengvirodkij (11268720)

Subjects:

NgR1 KO mice exhibited an increase in excitatory synapses and a decrease in inhibitory synapses, indicating an imbalance of synaptic transmission. by Jinwei Zhang (462455)

“…The inhibitory synaptic density of NgR1 mice showed a significant decrease when compared to WT mice (***P <  0.001). …”

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

Flowchart of included and excluded patients. by P.G.J. ter Horst (21743830)

Subjects:

Characteristics of the study group. by P.G.J. ter Horst (21743830)

Subjects:

Advancing Circular Bioeconomy through a Systems-Level Assessment of Food Waste and Industrial Sludge Codigestion by Md. Nizam Uddin (21632518)

“…Overall, codigesting FW with PPMS is revealed to be a sustainable waste management option to decrease landfill disposal of valuable organic waste.…”

S1 File - by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Cohort characteristics. by Vincent Pey (21433304)

“…</p><p>Results</p><p>Upon initiation of CPB we observed a significant decrease in arterial whole blood redox potential (101.90 mV + /- 11.52 vs. 41.80 mV + /- 10,26; p < 0.0001). …”

Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Student model architecture. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Configuration of the LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for DistilBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

ROC curve for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Sample Posts from the ADHD dataset. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Top-level overview for ADHD classification study. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”