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)

Heatmap of top 30 SI-induced gene expression changes by p-value. by Aodán Laighneach (17692183)

Heatmap of top 30 CEL-induced gene expression changes by p-value. by Aodán Laighneach (17692183)

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

Learn!Bio study: Grouping of Participants. by Katy Andrews (22311170)

“…This study aimed to evaluate bioscience students’ ability to adjust to a fast-evolving learning environment and to capture students’ journey building up resilience and graduate attributes. …”

Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

Social change: No decrease in singing rate upon first-time social isolation in the same environment. by Anja T. Zai (9225852)

Regression analyses of the number of all ultrasonic calls identified by the experienced researcher (A.P.; “Human”) and by the DeepSqueak machine learning tool. by Piotr Popik (292215)

Effectiveness of the proposed method to decrease chloroplast contamination. by Gabriela Madrid (11871401)

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. by Chengjun Yu (12136227)

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. …”

Data Sheet 1_Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study.pdf by Song Hao (5700608)

“…The vertebral Hounsfield unit (HU) value and the maximum width and maximum depth of the vertebral endplate defect were measured and standardized. …”

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

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

Flow chart. by Abed al Hadi Krisht (19704098)

“…</p><p>Objective</p><p>The objectives of this study were to measure the prognostic value of the extent of lung parenchymal lesions on computed tomography (CT) and of several coagulation and inflammatory biomarkers, and to explore the characteristics of the patients depending on the extent of lung parenchymal lesions.…”

S1 File - by Abed al Hadi Krisht (19704098)

“…</p><p>Objective</p><p>The objectives of this study were to measure the prognostic value of the extent of lung parenchymal lesions on computed tomography (CT) and of several coagulation and inflammatory biomarkers, and to explore the characteristics of the patients depending on the extent of lung parenchymal lesions.…”

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. …”

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.…”