Results 251 to 260 of about 3,047,766 (352)
Computational thinking as a mediator between modeling self-efficacy and flexible thinking in pre-service science teachers. [PDF]
Beyazhancer R, Cepni S.
europepmc +1 more source
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang +6 more
wiley +1 more source
Comparative mediator analysis: establishing links between mathematical thinking and creativity through digital game addiction and violent tendencies across gifted and non-gifted student groups. [PDF]
Er Z, Akin A, Sezgin HS.
europepmc +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
The impact of number talks on the number sense of fourth-grade primary school students. [PDF]
Minaz MB, Taş H.
europepmc +1 more source
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Does Physical Interaction with Insight Problems Really Affect the Solution Rate? [PDF]
Macchi L, Inglese D, Caravona L.
europepmc +1 more source
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Mathematical cognitive structures in Grade 12 students: a mixed-methods concept map study of gender differences and computational ability. [PDF]
Wang Z, Chen J, Liu J, Wu Q.
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source

