Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …”

Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

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

Subjects:

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. Communities started with 5 non-interacting species. …”

Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. by M. Mendez (6624953)

Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. by M. Mendez (6624953)

AI driven topic clustering and trend analysis workflow. by Min Ho An (7894658)

Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves. by Katie D. Pool (20141584)

Subjects:

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…And if the value of λ assumes larger values, the distortion in the shape of the transmitted wave is associated with the plastic deformation in the uncoupled rock mass. …”

Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

Process mining, combined with decision tree analysis using machine learning, can reveal insights into various process inefficiencies, such as rework. by Mohammad Bakhtiari (11838264)

Deep reinforcement learning process. by Sen Cao (6017846)

“…<div><p>With the increasing integration of Connected and Automated Vehicles (CAVs) and Human-Driven Vehicles (HDVs) in urban traffic systems, along with highly variable pedestrian crossing demands, traffic management faces unprecedented challenges. …”

Supplemental information for "Data Driven Model to Estimate Furrow Irrigation Sediment Loss in Western U.S." by Bradley King (16921360)

“…<p>The area irrigated by furrow irrigation in the U.S. has been steadily decreasing but still represents about 20% of the total irrigated area. …”

This decision-making and root cause analysis demonstration employs decision mining with machine learning and Petri Net, for example, in the manuscript, featuring annotated decision... by Mohammad Bakhtiari (11838264)

Theta (Θ) vs Phi (Φ) joint contact force (JCF) vector path of increased and decreased strength conditions in comparison to default condition (100%). by Jay R. Patel (11600758)

Data Sheet 2_Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation.zip by Yimin Zhou (3857113)

Data Sheet 1_Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation.zip by Yimin Zhou (3857113)

Exposure to biologics during pregnancy does not affect placental antibody transfer of anti-SARS-CoV-2 neutralizing antibodies, but concomitant corticosteroid exposure may decrease... by Donna E. Leet (22772478)