This study evaluated the multi-year efficacy of oyster shell (OS) capping for reducing benthic phosphorus release and improving coastal ecosystems by integrating laboratory experiments, field monitoring, and hybrid biogeochemical modeling. Using ambi... read more
BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) is seen as a potential solution to alleviate workforce demands arising from growing use of magnetic resonance imaging (MRI) in prostate cancer (PCa) screening. We aimed to synthesize the evidence... read more
Single-molecule localization microscopy (SMLM) enables volumetric nanoscopy by retrieving 3D molecular positions from engineered 2D fluorescence patterns. However, achieving nanoscale resolution over large axial ranges in complex samples remains chal... read more
The interface of biomolecular condensates plays a key role in processes such as protein aggregation and biochemical reactions, making it an attractive target for engineering condensates. However, the molecular grammar that drives preferential localiz... read more
Accurate runoff forecasting is crucial for water resource management in the cold-arid Qinghai Lake Basin (northeastern Tibetan Plateau), yet complex snowmelt dynamics and spatiotemporal heterogeneity limit traditional models. This study develop a nov... read more
Accurately perceiving object softness remains challenging for tactile sensors, as current approaches estimate Young's modulus from object deformation in response to an applied pressure while overlooking the pivotal role of Poisson's ratio in shaping ... read more
Timely and accurate plant disease detection is important for enhancing agricultural productivity and promoting sustainability. The study introduces Multimodal Adaptive Fuzzy-based Deep Neural Network (MAF-DNN) for classification of plant diseases. Th... read more
The technique of Hyperspectral Imaging (HSI) is significant in the field of non-destructive forensic crime scene investigation, as it allows for the identification of minor spectral changes over a broad range of wavelengths. In the present study, the... read more
Expensive dairy products like ghee are at high risk of hazardous adulteration with cheaper fats, and traditional testing approaches such as FTIR device and conventional machine learning are too slow, complex, and lack the interpretability to be usefu... read more
Motor imagery (MI)-based brain-computer interfaces (BCIs) enable users to control external devices using EEG signals, offering great potential in assistive and rehabilitation technologies. However, MI recognition remains challenging due to EEG's low ... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.