Statistical details of data presented in Fig 16. by Piotr Popik (292215)

“…<div><p>The rapid decrease of light intensity is a potent stimulus of rats’ activity. …”

Statistical details of data presented in Fig 17. by Piotr Popik (292215)

“…<div><p>The rapid decrease of light intensity is a potent stimulus of rats’ activity. …”

Simon Nilsson’s polygon features in action. by Piotr Popik (292215)

“…<div><p>The rapid decrease of light intensity is a potent stimulus of rats’ activity. …”

The daily pattern of water supply head entries of pairs of rats in 10-minutes epochs. by Piotr Popik (292215)

Image 1_Effects of m6A methylation of MAT2A mRNA regulated by METTL16 on learning and memory, hippocampal synaptic plasticity and Aβ1–42 in 5 × FAD mice.jpeg by Huan Chen (6545)

“…Overexpression of METTL16 led to an increase in overall m⁶A methylation levels, furthermore, overexpression of either METTL16 or MAT2A enhanced learning and memory in 5 × FAD mice, elevated the expression levels of postsynaptic density 95 (PSD95) and synaptophysin (Syp), increased dendritic spine density, and decreased the accumulation of Aβ_1–42 in the hippocampus. …”

Image 2_Effects of m6A methylation of MAT2A mRNA regulated by METTL16 on learning and memory, hippocampal synaptic plasticity and Aβ1–42 in 5 × FAD mice.jpg by Huan Chen (6545)

“…Overexpression of METTL16 led to an increase in overall m⁶A methylation levels, furthermore, overexpression of either METTL16 or MAT2A enhanced learning and memory in 5 × FAD mice, elevated the expression levels of postsynaptic density 95 (PSD95) and synaptophysin (Syp), increased dendritic spine density, and decreased the accumulation of Aβ_1–42 in the hippocampus. …”

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

Organic solvent exposure causes defects in salt chemotaxis learning. by Masahiro Tomioka (430683)

Using Environmental Mixture Exposure-Triggered Biological Knowledge-Driven Machine Learning to Predict Early Pregnancy Loss by Mengyuan Ren (14724676)

“…Clinical records, and paired hair, serum, and follicular samples were collected, with 16 per- and polyfluoroalkyl substances (PFAS) and 41 metal(loid)s measured. We developed a framework coupled with biological knowledge graph-based networks (BKGNs) and machine learning (ML) to predict EPL. …”

Structure of a trial. by Marcel F. Hinss (14675457)

“…The results indicate that similarity between tasks substantially impacts performance with different effects on RT and accuracy. While learning effects may have negated the impact of mental fatigue across the 5 experimental blocks, a significant decrease in performance was observed within blocks. …”

Passive sensing data. by Thierry Jean (20691795)

“…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …”

Surveys. by Thierry Jean (20691795)

“…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …”

Assessment values of machine learning models. by Bin Pan (742525)

“…Additionally, the model’s generalization ability is verified through transfer learning. Although the performance of the StackBoost model decreases when applied to different datasets, it still shows considerable transferability, making it a more generalizable prediction model for aqueous solubility.…”

Skills development and coping strategies as a consequence of the pandemic. <i><i>Results displayed in percentages.</i></i> by Katy Andrews (22311170)

A frame from the video with behaviors annotated in a custom way. by Piotr Popik (292215)

Plots showing Mean Decrease in Accuracy of the three landslide susceptibility models developed using the RF algorithm for the (a) post-Ketsana, (b) post-Podul, and (c) post-Molave... by Raja Das (1841107)

The inactivation of the acetyl-CoA acyltransferase 1 enzyme by the novel putative miRNA Oeu124369 leads to a decrease in Acetyl-CoA production and additionally, the deactivation of... by Mohammad Hossein Pakdel (19837942)

(A) The expression of DCXR and HRSP12 was higher in the DN model; (B) The expression of DCXR and HRSP12 was decreased compared with the normal control after knockout; (C) CCK8 expe... by Hongmin Luo (2142307)

Comparison Of Performance at Different Optimizers and Learning Rates. by Mudhafar Jalil Jassim Ghrabat (22177655)

Boxplot of Teamwork and collaboration scores as a function of Time. by Thales Guardia de Barros (22216025)