The feature selection and verification processes have been conducted with the two problem sets, ‘Party Invitation’ and ‘Club Membership’ from the PIAAC problem-solving test.
Party invitation
‘Party Invitation’ is a problem-solving set…

The feature selection and verification processes have been conducted with the two problem sets, ‘Party Invitation’ and ‘Club Membership’ from the PIAAC problem-solving test.
‘Party Invitation’ is a problem-solving set…

We investigate the use of a bounded and positive model in important real-world situations with the goal of proving that, under positive beginning conditions, system (3)’s solutions are positive for…

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing new therapeutic…

Table 1 reports the values of correlation between the variables used in our empirical study. The correlation values are calculated on the whole dataset, so they can be considered as average values over the entire…

To fully harness the potential of peptide-based storage technology for big data applications, we strategically selected eight amino acids for data encoding. A key advantage of this selection is that peptides composed…

For this study, we recruited relevant volunteers aged 18–65 years old to perform perceptual evaluations (in the form of scoring) of our vehicle interiors, and all methods were performed in accordance with the relevant regulations of the Ethics…

This study investigated mandibular trabecular bone architecture in individuals with T1DM using a newly developed single-click fractal analysis module on panoramic radiographs. The findings revealed significantly higher FD values in the gonial and…

In this study, we developed and tested an automated framework for the prediction of metrics used in the assessment of DR severity from wide-field OCTA images: NPI and FAZ area.
The first step (Q-NET), provides an automatic segmentation of…

In this section, we conducted a series of experiments to verify the effectiveness of the proposed KGCN-UP model in online course recommendations. We aimed to answer the following research questions:
RQ1: How does our proposed model perform…

Bubeck, S. et al. Sparks of artificial general intelligence: early experiments with GPT-4. Preprint at https://arxiv.org/abs/2303.12712 (2023).
Wei, J. et al. Emergent abilities of large language models. Trans. Mach. Learn. Res. (2022);