Learn!Bio longitudinal, cross-sectional study 2020-2023: Cohort sizes and participants – overview. by Katy Andrews (22311170)

Flowchart for teaching and learning implementation of the 2D aesthetic program cluster in rural schools. by Zhankun Han (20529082)

Detection effect of different sizes. by Bo Tong (2138632)

Female regression coefficients for regression #3 across development in set size = 2 and set size = 4. by Juliana Chase (20469427)

Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

Strategy parameters across development for female mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

“…RL parameter <i>α</i>₊ learning rate and decision noise parameter softmax <i>β</i> were stable across development in both set size = 2 (A-B) and set size = 4(F-G). …”

Strategy parameters across development for male mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

“…RL parameter <i>α</i>₊ learning rate and decision noise parameter softmax <i>β</i> were stable across development in both set size = 2 (A-B) and set size = 4 (F-G). …”

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

Hybridsampling triple size models performance. by Anna Beatriz Silva (20989245)

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

Dynamic Analysis of Membrane Emulsification: An In Situ Observation and Calculation with Deep Learning Model by Ke Zhou (131917)

“…The trained model achieved a precision of 0.945, a recall of 0.998, and a mAP@0.5 of 0.989, enabling fully automated extraction of microdroplet size and size distribution. Using this device, we demonstrated that decreasing the pore size or increasing the dispersed phase flow rate induces droplet formation transition from dripping to jetting, with the Weber number (<i>We</i>_d) quantifying this critical condition (<i>We</i>_d = 16 ± 12%). …”

Relationship between class size and genomics content in courses taught by faculty participating in the inventory survey. by Laura K. Reed (20536554)

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

Subjects:

Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

Learning curve of STEP as performed by the early career surgeon. by Yoshiro Imai (11492315)

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…Moreover, annual colony losses also decreased with higher abundance of surrounding forested area. …”

Participants perception of wellbeing. by Katy Andrews (22311170)

Image 2_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Image 1_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Accumulative reward (s1 = 10, s2 = 10, s3 = 10, t = 10). by Yoshitomi Harada (22311475)