Cerebral blood flow (CBF) is under homeostatic control via cerebral autoregulation, maintaining a constant blood supply to brain parenchyma by integrating myogenic, metabolic, and neurogenic inputs across the neurovascular unit to stabilise perfusion... read more
Plastic pollution in aquatic environments has become a growing global concern, with floating macroplastics posing serious ecological, economic, and health risks from inland water bodies to remote coastal zones. Despite advances in satellite remote se... read more
As autonomous driving advances to higher levels, conventional decision-making algorithms for autonomous vehicles (AVs) often inadequately address long-tail issues composed of low-frequency, high-uncertainty, and extreme scenarios, leading to recurren... read more
Neural networks : the official journal of the International Neural Network Society
Dec 16, 2025
PINNs, enabling the assimilation of physical laws and sparse observational data into deep models, have been a powerful method for rapid prediction of complex physical phenomena. However, due to high dimensionality, nonlinearity and multi-scale behavi... read more
Journal of colloid and interface science
Dec 16, 2025
We have investigated the liquid-liquid phase separation from a homogeneous liquid phase and the subsequent liquid droplet phase evolution upon cooling, using in-situ observation. The transparent monotectic material succinonitrile-0.82 wt.-frac. water... read more
High-quality 3D reconstruction of pulmonary segments plays a crucial role in segmentectomy and surgical planning for the treatment of lung cancer. Due to the resolution requirement of the target reconstruction, conventional deep learning-based method... read more
Wooden breast (WB) is a prevalent meat quality defect in broilers, characterized by muscle hardness, and reduced functionality. To investigate its molecular basis, we applied an integrated multi-omics strategy combining untargeted metabolomics, prote... read more
Neural networks : the official journal of the International Neural Network Society
Dec 16, 2025
Estimating the ratio p/q between two probability density functions is a fundamental problem in machine learning. By training classifiers to distinguish between samples from p and q, the class-posterior probabilities can be used to estimate density ra... read more
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