Attention-enhanced dilated convolution for Parkinson's disease detection using transcranial sonography.

Background: Transcranial sonography (TCS) plays a crucial role in diagnosing Parkinson's disease. However, the intricate nature of TCS pathological features, the lack of consistent diagnostic criteria, and the dependence on physicians' expertise can hinder accurate diagnosis. Current TCS-based diagnostic methods, which rely on machine learning, often involve complex feature engineering and may struggle to capture deep image features.

A highly selective and sensitive fluorescent sensor based on Tb-functionalized MOFs to determine arginine in urine: a potential application for the diagnosis of cystinuria.

A unique metal-organic framework with the formula [Cd(HL)(L)·HO]·3HO (HL = 5,5'-(1H-1,2,4-triazole-3,5-diyl)diisophthalic acid) was successfully constructed under solvothermal conditions. The frameworks with multiple free Lewis base sites and Lewis acid sites exhibited easily sensitized properties. After the encapsulation of Tb cations, the as-synthesized Tb@Cd-MOF demonstrated strong luminescence induced by the efficient energy transfer from the bridging ligands to the Tb cations, with the potential to serve as a chemical sensor.