Results 261 to 270 of about 2,446,659 (352)
Chrononutrition interventions for mental health: addressing atypical depression, ultra-processed food use disorder, and circadian dysregulation. [PDF]
Cuaranta I.
europepmc +1 more source
Mental Sampling in Preferential Choice: Tracing the Process using Random Generation
Jake Spicer +5 more
openalex +2 more sources
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Family-centered mental health care for left-behind children in Chinese ethnic minority concentrated areas: a psychiatric nursing framework for rural education settings. [PDF]
Rong Y, Yuan GF.
europepmc +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz +2 more
wiley +1 more source
Editorial: Theory of mind in robots and intelligent systems. [PDF]
Gurney N, Hughes D, Pynadath DV, Wang N.
europepmc +1 more source
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source

