The Hatch Rate Prediction Model is a critical component of our Indigenous Smart Incubator, which uses machine learning ...

From the previous discussion, it can be seen that the heat of metamorphism mainly comes from magma. The formation of UHP is closely related to both the stress formed by arch tectonics and the thermal ...

The transition to college can be a difficult time as students adjust to new social and academic demands while adapting to new living circumstances in a collegiate environment. The ability of students ...

Liu, Q., Mao, F., Zhou, H. and Guo, X.Y. (2025) Research Progress on Risk Factors for Central Venous Catheter-Related Thrombosis. Journal of Biosciences and Medicines, 13, 320-334. doi: ...

Manikas, A. (2025) Mitigating Climate Risk in Greek Hotel Enterprises: An Empirical Analysis of Strategies and Barriers.

Modern times have shown that understanding infectious diseases is imperative to our survival. In this study, we gain an ...

Aim: This study aims to explore the effect of umbilical cord cutting experience on fathers’ emotional bonding with their ...

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

Demands of Parents When Selecting an Elementary School for Their Children with Autism Spectrum Disorder: A Literature Review ...

Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a ...

Generative Artificial Intelligence, Legal Risks, Intellectual Property Right Burden-Sharing Share and Cite: Ding, S.Q. (2025) Legal Risks and Regulatory Pathways of Generative Artificial Intelligence.

To evaluate the efficacy of federated learning for treatment response prediction in bipolar disorder, we developed a robust simulation pipeline encompassing synthetic data generation, neural network ...