Results 171 to 180 of about 8,570,593 (242)
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
Attention U-Net-based semantic segmentation for welding line detection. [PDF]
Lukács HI +4 more
europepmc +1 more source
Functional screening identified PcSyn14890, a cyanobacteria‐specific protein that enhances growth and stress resistance in E. coli and Synechocystis PCC6803. Although we expected it to function as a molecular chaperone, it was unable to protect against thermal aggregation of GAPDH.
Akiyo Yamada +7 more
wiley +1 more source
Multi-scale conv-attention U-Net for medical image segmentation. [PDF]
Pan P, Zhang C, Sun J, Guo L.
europepmc +1 more source
During the current opioid crisis, the majority of overdose deaths are attributed to ultra‐potent synthetic opioids, such as fentanyl. While fentanyl exerts its action via opioid receptors, we propose that potassium channels in the brain blood vessels may also sense fentanyl.
Shiwani Thapa +4 more
wiley +1 more source
VMKLA-UNet: vision Mamba with KAN linear attention U-Net. [PDF]
Su C, Luo X, Li S, Chen L, Wang J.
europepmc +1 more source
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page +4 more
wiley +1 more source
Enhancing the weed segmentation in diverse crop fields using computationally effective concatenated attention U-Net with convolutional block attention module. [PDF]
Arumuga Arun R +3 more
europepmc +1 more source
A rapid visual test combines DNA amplification, CRISPR–based target verification, and a lateral flow strip to detect Streptococcus suis. The assay gives results in about 45 min, reduces false‐positive interpretation, and does not require fluorescence equipment.
Liu‐xin Li +7 more
wiley +1 more source
FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images. [PDF]
Li W, Cao L, Deng H.
europepmc +1 more source

