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

The Ishihara test for colourblindness [41] encompasses stimuli that can determine the degree and type of colourblindness a person has. by Marcel F. Hinss (14675457)

Depth pruning can effectively reduce the complexity of the model. by Weijia Zhu (65481)

Time step optimization can greatly improve the efficiency of training and inference. by Weijia Zhu (65481)

AI KRegression by CHIN-CHENG CHU (20718575)

Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)

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

“…Post pandemic, bioscience students worry about the increased living costs and are strongly in favour of a mixture of face-to-face and blended learning approaches. Our results show that bioscience students can self-report poor mental health while developing resilience, indicating tailored support can aid in developing students’ resilience. …”

Data Sheet 1_Antiviral therapy can effectively suppress irAEs in HBV positive hepatocellular carcinoma treated with ICIs: validation based on multi machine learning.zip by Shuxian Pan (8868356)

“…Following antiviral therapy, the incidence of severe irAEs decreases. Even in cases where viral load control is incomplete, continuous antiviral treatment can still mitigate the occurrence of irAEs.…”

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Immunopeptodomics identifies which peptides derived from <i>T</i>. <i>cruzi</i> antigens can be detected by CD8+ cytotoxic T cells (CTLs). by Leroy Versteeg (4248760)

Effect of active learning. by Jia Li (160557)

“…Firstly, we combine active learning with self-supervised learning to decrease the reliance on labeled data. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

The process of learning and remembering in RECOLLECT. by Alexandra R. van den Berg (20490255)

N-back learning effects. by Ana María Triana (19819446)

Demographic information of participants. by Zixia Bu (21475019)

“…<div><p>Objective</p><p>For international students coming to China, the process of learning Chinese is very difficult. At the same time, chronic academic underachievement can lead to aggressive behavior (AB). …”

Learning-related changes in assembly–reader relations. by Marco N. Pompili (12288422)

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)